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Mental Health among Latin American Adolescents Thesis


Abstract

The health need of an individual requires adequate and careful management. By implication, various aspects of the human anatomy undergo specific changes based on tissue growth. This thesis highlighted the correlation between mental health and body mass index. Thus, we studied the relationship between body mass index, health, and mental health among Latin American adolescents. Data for the study was collected from a secondary source. The CHIS data for adolescents (2011-2012) was tested using Chi-square statistical analysis to evaluate the study. The research will support various social policy frameworks across Latin America. Consequently, the study has direct implications on nursing practice, adolescent nutrition value, and families.

Introduction

As young people move from adolescence to adulthood, they confront numerous somatic, mental, and social changes. However, it is unexpected that young people will encounter mental misery. Studies carried out by the California Survey Institute revealed that 4.3% of youths have confronted a genuine depressive issue. By implication, the growth phase of an adolescent influences his or her health status. Expanding U.S. weight rates influence all age clusters, including teenagers. The research institute found that 19% of American kids and young people were corpulent, totaling 15.5 million people. The CDC expressed that stoutness rates in this age range have tripled in the past three decades. Lawler and Nixon (2011) examined the relationship between body mass record (BMI) and body challenges and stated that higher BMI among different components, related to more prominent body disappointment for adolescents. Body disappointment was identified with an expanded danger for both gloom and other mental concerns, such as dietary issues (Lawler & Nixon, 2011).

The expressions “overweight” and “corpulent” classify weight status as sound standard (CDC, 2012). The CDC characterizes these terms by using the BMI estimation. BMI is viewed as a concrete measure of an individual’s muscle to fat ratio, utilizing one’s weight, and tallness as a part of the computation. A BMI of 18.5- 24.9 is viewed as sound, though a BMI from 25-29.9 is viewed as overweight, and a BMI of 30 or higher is viewed as large (CDC, 2012). The alarming survey conducted in 2014 revealed that over 33% of American grownups were sorted as fat (CDC, 2012). Rates of adolescent weight have been followed and huge increments can be seen since the 1980s, particularly in the Midwestern, Southeastern states, and Latin America (CDC, 2012). From 2010- 2014, 20.4% of American young people were viewed as corpulent (Ogden, Carroll, Kit, & Flegal, 2012). Youth rotund was equally spread around the nation than adolescent corpulent from 2010-2014.

Socioeconomic Status of Latin American Adolescents

The survey examined the socioeconomic status of Latin American adolescents. The socioeconomic variables include age, sex, ethnicity, age, housing, income, educational attainment, and occupation. Family income and subjective social status are additional components of the SES. These components were evaluated to test the correlation with BMI. Different components of the SES were categorized based on accompanying factors. For example, the participant’s residence was categorized as rural and urban centers.

In contemplating hazard components for weight, ethnic, and racial foundations have been considered. Kids from ethnic minorities, for example, African American and Hispanic youngsters, will probably be overweight (Babey, Hastert, Wolstein, & Diamant, 2010. Elements counting group, family, and financial status were tested, and it was observed that people living in overwhelmingly Hispanic or non- Hispanic Black people group will probably be large, and people of these ethnic foundations will probably live in groups with less health-related challenges (Centers for Disease Control and Prevention, 2012). A study led in California revealed that family salary and obesity are contrarily connected, particularly as to male adolescents (Babey et al., 2010).

It creates the impression that there is a complex interaction of components prompting obesity in both grownups and youth, which will be essential to investigate keeping in mind the goal to better comprehend corpulent and its connection. Consequently, few kinds of literature have studied the relationship between mental health and body mass index. Nutritionist argued that an individual body mass index positively or negatively affect health and mental health. The CHIS data center, among different offices, advances the learning of wellbeing concerns identified with corpulence. They give instructive apparatuses and suggestions for prevention and recuperation. Nonetheless, there is a lack of assets looking at the connection between weight and emotional well-being. By implication, researchers have been looking at corpulence’s impacts on the mental prosperity of adolescents and adults (Mustillo, Budd, & Hendrix, 2013).

Weight is a medical challenge of the 21st century as reported by many kinds of literature and surveys. Its commonness has tripled in numerous nations since the 1980s, and the quantities of those influenced keep on rising at a disturbing rate, especially among youngsters. Corpulent controls 3-9% of health expenses and 12-15% of death in various parts of Latin America (Lawler & Nixon, 2011). Heftiness brings a colossal weight of inability and mortality and in addition to a monetary test. A sound way of life mitigates obesity and improves mental health (Lawler & Nixon, 2011). The World Health Organization defines a Body Mass Index (BMI) as a straightforward record of weight-for-tallness that is used to order underweight, overweight, and stoutness in grownups. It is characterized as the weight in kilograms partitioned by the square of the tallest in meters (kg/m2). For instance, an adolescent who weighs 78kg and whose stature is 1.78 m will have a BMI of 24.62.

  • Mathematically, BMI = 78 kg/ (1.78 m) 2 = 78/3.1684 = 24. 62
  • Please note that (1.78) 2 = 3.1684

Statement of the Problem

Body mass index and obesity influence various medical challenges that affect the quality of life. Consequently, BMI, mental health, and health conditions affect the psychological development of adolescents. Changes in Latin America’s dietary and wellness propensities, for example, overconsumption of calories and an inexorably inactive way of life, have altogether added to this epic ascent in weight‐gain. Since the mid-1990s, the normal weight of the Latin American grown-up is expanding by one pound every year, and subsequently, the quantity of Latin Americans on eating regimens has risen definitely (Gaesser, 2003). Eating carbs have little effect on the ascent of heftiness in Latin America. A few studies have demonstrated that a past filled with food abstinence increases the chances for ensuing huge weight pick up. Although eating less does not lead to corpulence, an eating regimen attitude may prompt constant weight vacillations (Gaesser, 2003).

Public health suggestions support weight reduction in overweight and hefty people. Nevertheless, the significance of weight to health and mental health in Latin America is still vague. Today’s society will contend for weight reduction because it affects health and mental fitness. A few studies have demonstrated that aggregate mortality diminishes in overweight populaces to ordinary and underweight populaces (Gaesser, 2003). Diet therapists revealed that getting in shape, enhance cardiorespiratory wellness, heart rates, muscle flexibility, and reduce aggregate cholesterol through active sports.

Corpulence is a public issue in the US and Latin America, and as such has influenced different research recommendations. Various literatures have reported a relationship between heftiness and different types of mental pain, including uneasiness and depressive issues. Consequently, the timing and heading of the relationship amongst corpulence and mental misery stay disputable. Some proof proposes that obesity in childhood and adolescents builds the danger of creating temperament or tension issues in adulthood. Some literatures show that depressive indications, especially in adolescents improve the probability of obesity in adulthood. The adolescent phase is a physiological development and a danger period when nervousness and depressive indications are created. Thus, nervousness and melancholy has been connected with adiposity.

Consequently, depression, depressive indicators, and expanded adiposity facilitate the causes that underlie the advancement of mental pain and corpulence. The directionality of impact remains dubious as to misery influencing weight increase, body mass index, and mental health. Evaluating whether mental misery and expanded adiposity occur in adolescence will improve the quality of life. Although pre-adulthood is a preventive phase of obesity, there are measurable difficulties in concentrating on both adiposity and misery. By implication, variables of heterogeneity of teenage populaces affect BMI data collection and analysis. Thus, research testing can distinguish subgroups in the populace for which the relationship amongst mental health and BMI is significant. Consequently, this study provides an opportunity that allows testing theories identified with class enrollment. The present study concentrates on health, mental health, and BMI among Latin American adolescents.

Scope and Significance of the Study

The quantity of youngsters and teenagers who are overweight or fat worldwide is disturbing. As a result, we will conduct a survey to evaluate the pervasiveness of overweight and stoutness of adolescents in Latin America. We will look at specific databases (CHIS) and literature for significant studies carried out among Latin American adolescents between 2011 and 2012. Markers approved for the study include BMI (kg/m2) for all adolescents and weight-for-tallness. From the perspective of the number of adolescents who are overweight or hefty, the related hindering impacts on wellbeing and the expense of human services frameworks, execution of projects to screen, and forestall unfortunate weight pick up in kids and young people are required in Latin America.

The present exploration was vital because it gave the data in regard to the issue of body weight and psychological wellness status. Moreover, there are few kinds of literature on the relationship between BMI and psychological wellness concerning Latin American adolescents, thus, this study checked on the specific relationship among Latin American adolescents. As an aftereffect of findings on the topic, the recommendations will mitigate the challenge, guaranteeing that individuals know the significance of keeping a perfect weight to manage psychological wellness. This study will expose the significance of taking consideration of physical body status to avoid negative impacts on emotional wellness among Latin American adolescents.

Purpose, Hypothesis, Objectives, and Research Questions

This study investigates the relationship between body mass index and mental health. Consequently, the study investigates the correlation of body mass index, health, mental health among Latin American adolescents. Thus, the study focuses on Latin American adolescents. The relationship between BMI and medical conditions stimulates this research analysis. By implication, the study will evaluate the research questions below.

  1. Is there a correlation between body mass index and mental health?
  2. Is there a relationship between body mass index and health?
  3. Is there a correlation with mental health, body mass index, and general health among Latin American adolescents?

The research objectives of this study can be summarized below.

  1. To evaluate the social-demographic qualities of the Latin American adolescent.
  2. To explore the correlation of BMI, mental health, and health among Latin American adolescents.
  3. To evaluate the level of psychological distress among Latin American adolescents.
  4. To understand the impact of body mass index on mental and public health among adolescents.

The research hypotheses for the study will be summarized below

  1. Impact of BMI among Latin American adolescents.
  2. The correlation of BMI and mental health among Latin American adolescents.
  3. The effect of high and low BMI on the mental health of Latin American adolescents.

The hypothesis presented below is based on the research questions. The research question investigates the relationship between BMI and mental health.

Hypothesis 1

There is a significant correlation between health and BMI among the Latin American population.

Hypothesis 2

There is a significant difference between low and high BMI as it relates to mental health.

Study Limitations

This study considers the limitations of articles on Latin American population. As a result, we will evaluate related studies based on their relevance to BMI and mental health. Thus, the inclusion criteria include BMI, health, psychological distress, depressions, and obesity.

Variables of the Research

Factors were picked because of their importance to the present study and questions. The accompanying demographic factors include age, sexual orientation, ethnicity, weight, stature, and BMI. The variables were carefully selected to facilitate the validity and reliability of the study. By implication, BMI is the dependent variable for this study. However, the independent variables for the study include health, mental health, Latin American adolescents, and socioeconomic status. The components of the socioeconomic variable include age, sex, and other demographic factors.

Table 1

Independent variables Dependent variables
Age Feel Nervous Past 20 Days
BMI Feel Restless Past 30 Days
Ethnicity Feel Depressed Past 20 Days
Sex Anxiety signals for the past 20 days
Socioeconomic status Stress

Theoretical framework

Physical and mental prosperity are impacted by numerous components. This study relies on the biopsychosocial model by George L. Engle. The model expressed three components, which are organic, mental, and social variables that contribute to one’s psychological wellness. In other words, it is the connection between one hereditary inclination, emotional well-being, conduct (mental), and sociocultural environment (social) that demonstrates an individual’s health status. Thus, the relationship between BMI, health, and mental health relies on the biopsychosocial model. Figure 1 describes the biopsychosocial model. This study showed that organic, mental, and social components correlate with body mass and contribute to one’s psychological wellness.

By implication, an individual is influenced by his or her psychological factor. Consequently, adolescents with negative psychological factors such as depression, anxiety, and dissatisfaction affect his or her health and mental status. The social and biological factors influence an individual’s mental health. Body mass file is classified into two, which are sound, weight, and undesirable weight. Figure 1 displays the intermediary variable between mental wellness and body mass index. Previous literature revealed that BMI influences an individual’s self-worth.

Being overweight as a youngster adversely affect self-regard, mental self-view, self-concept, and physical appearance. Consequently, being overweight affects the individual’s athletic or physical ability. Previous literature revealed that obesity is associated with sorrow in adolescents. The mental health of adolescents treated in clinical settings has been equated with cancer patients. However, surveys have reasoned that disregarding antagonistic social and interpersonal results, stout youngsters may just have direct levels of body disappointment. Consequently, obesity affects the individual and causes low self-esteem. Evidence additionally proposes that fat teenagers are not pre-bound for discouragement. Longitudinal studies have additionally found that wretchedness can foresee stoutness in young people. Some medical surveys revealed that weight in puberty prompted dejection in adulthood. Consequently, pre-adult depressive side effects, particularly among young women, create a health hazard.

The BMI growth charts are both cautious and conservative; therefore, children above the cutoff mark are excessively fat and at health risk (Treachman & Brownell, 2001). In the past 30 years, there has been a reported increase in BMI growth. In a study looking at 70 years of BMI data showed that children born in 1973-1999 had the largest BMI values from 8 years of age and onward, compared to the other cohorts (Treachman & Brownell, 2001). The amount of children with a BMI above the 85th percentile cutoff point is also increasing rapidly (Treachman & Brownell, 2001). There are a few disadvantages of utilizing BMI as a wellbeing pointer. BMI does not consider sexual orientation, race, age, wellness level, or ethnicity (Treachman & Brownell, 2001). BMI likewise does not separate between incline mass and fat mass (Treachman & Brownell, 2001). This impediment is particularly risky with more seasoned adolescents because they have a tendency to lose and gain weight.

Epidemiological studies have exhibited that high BMI, predictable with overweight or weight is connected with a more serious danger of mortality. A conceivable clarification for this relationship is the obtuseness of BMI to real wellbeing status. Surveys revealed that people with normal BMI have an overweight‐obese metabolic system. Overweight and hefty people will probably be inactive and have lower oxygen levels than their non‐overweight partners. As indicated by the Aerobics Center Longitudinal Study from Dallas, Texas, high-impact wellness levels may alleviate much, if not all, of the hazard connected with stoutness (Gaesser, 2003). Stout men who are delegated “fit” in light of a practice treadmill test have demised rates lower than lean‐fit men. Information from the Behavioral Risk Factor Surveillance Framework (BRFSS) demonstrates that the absence of physical activity is more critical than the abundance of body weight as an indicator of cardiovascular mortality (Gaesser, 2003).

Biopsyhosocial model

Definition of Terms

Body Mass Index (BMI)

A man’s measurement relies on weight and height. Mathematically, BMI = weight/height (squared). The BMI indicates an individual’s body mass. Researchers use this measurement to categorized participants as normal or obese. Thus, obesity is associated with high BMI.

Misery

Depression is a state of anxiety or a decrease in positive temperament. Depression is the absence of intrigue or delight and unavoidable sentiments of defenselessness and sadness among other side effects (Lawler & Nixon, 2011).

Obese

A measurement defined by high BMI. Obesity has several side effects, which include depression, anxiety, and psychological distress.

Mental Distress

Psychological side effects experienced by a person that is a “nonspecific pointer of past-year emotional well-being issues, for example, uneasiness or mindset issue” Pointers used in the present study will incorporate state of mind side effects and usage of emotional well-being administrations.

Body Mass Index (BMI)

The present study characterizes Body Mass Index (BMI) or body weight as a way to quantify the perfect body mass by figuring weight in kilograms isolated by stature in meters squared. The amount of children with a BMI above the 85th percentile cutoff point is also increasing rapidly (Treachman & Brownell, 2001). There are a few disadvantages of utilizing BMI as a wellbeing pointer. BMI does not consider sexual orientation, race, age, wellness level, or ethnicity (Treachman & Brownell, 2001). BMI likewise does not separate between incline mass and fat mass (Treachman & Brownell, 2001).

Emotional wellness Status

Emotional wellness has been characterized as a decent condition of prosperity. Meanwhile, emotional well-being status has been characterized operationally in this present study as the level of the psychological wellness itself.

Sadness

In this present study, sadness scale evaluated dysphoria, misery, depreciation of life, self-expostulation, absence of intrigue/inclusion, and dormancy

Tension

In this present study, tension scale evaluated autonomic excitement, skeletal muscle impacts, situational nervousness, and subjective experience of edge influence (Lawler & Nixon, 2011).

Stress

In this present study, it was realized that the stress scale to assess levels of ceaseless non-particular excitement. It evaluated trouble unwinding, apprehensive excitement, and being effortlessly disturbed/upset, fractious/over-responsive, and anxious (Lawler & Nixon, 2011).

Operational Definition

Body Mass Index (BMI)

In this present study, BMI was arranged into 4 gatherings that are underweight, typical weight, overweight, and fat. Underweight was assigned when the BMI is 17.5. Normal weight was assigned between 19.5 and 24.9. However, overweight was assigned between 26 and 29.7, and corpulence as a BMI of 30 or higher. Nevertheless, this concentrate just centered around three gatherings of BMI that are typical weight, overweight, and corpulent. Ordinary weight was classified as sound weight, however, overweight and stout were ordered as unfortunate weight.

Emotional well-being status

In this present study, emotional well-being status was measured by utilizing DASS21. The aftereffect of DASS21 scale was alluded s to decide the status of psychological well-being. The higher the consequence of discouragement scale, the lower the level of emotional wellness status.

Literature Review

While talking about the results of corpulence, accentuation has been always on the negative implications for an individual. However, few researches analyze the impact of body mass index and obesity in adolescents. These literatures look at the variables of corpulence, psychosocial impacts of weight, and adolescent results. However, this study focuses on the relationship between BMI and mental health among adolescents. Consequently, the study will evaluate the correlation of body mass index, health, and mental health among Latin American adolescents.

Corpulence Threat Factors

Different components have been distinguished as adding to or relating with high BMI. Studies on the topic examined different risk factors as they affect the sample population. This review of literatures considers different papers on obesity. Crossman, Sullivan, and Benin (2006) examined how the family variable identified with adolescent stoutness. The analysts utilized information from the National Longitudinal Study of Adolescent Health, which incorporated reactions from around 80,000 seventh graders to twelfth graders in the United States (Crossman et al., 2006). The variables used for the research include parental characters, household arrangement, family cohesion, parental heftiness, and adolescent weight status. Juvenile weight and self-regard were surveyed by body mass index, a self-regard scale, and physical exercises, recreation, and a proper breakfast.

The study observed that overweight in puberty was a danger indicator of the individual’s adult life. Consequently, the researchers concluded that the probability of being overweight expanded by 81.2% for youngsters at danger of corpulence. Furthermore, being obese as a youngster expanded chances of being an overweight grown-up by 22.92%. Consequently, the study revealed that overweight guardians expanded danger for their children, particularly for male kids. Parental trait and socioeconomic status were indicated as intervening elements, however, principally decreased danger for females. The result revealed that the family structure factor was insignificant. By implication, family structure has no relationship with the participant’s body mass index.

Babey et al. (2010) used California Health Interview Survey (CHIS) information to look at the connection between socioeconomic status and pre-adult heftiness. The analysts utilized variables identifying with wage and BMI to evaluate the correlation with obesity. The analysts discovered the measurable significance in the relationship between income and corpulence, with those from lower levels of wage encountering prominent predominance of high BMI. The results revealed that male adolescents demonstrated the more prominent occurrence of corpulence than females.

Consequently, the report revealed Latin American adolescents experienced stoutness more than White young people. Thulitha Wickrama, Wickrama, Bryant, and Chalandra (2006) have additionally contemplated the relationship between wage and weight, with an emphasis on group assets. The analysts used information from the National Longitudinal Study of Adolescent data, with an aggregate specimen of 20,440 teenagers (Thulitha Wickrama et al., 2006). Largely, those of African Americans and Hispanic foundation were observed to encounter heftiness at adolescents. Destitution inside a participant’s family and group were both connected with higher danger for heftiness. Group destitution had an exceptional effect, with adolescents from low pay encountering higher rates of stoutness than people from higher pay families. This relationship was consistent for White teenagers.

Sivalingam et al. (2011) analyzed grown-up danger components, including comprehension of heftiness and self-impression of corpulence. Analysts gave overviews to more than 1,000 participants at general medical service center, with the respondents being 47 years old. Demographic inquiries, BMI, and their view of corpulence were recorded. Most members were conversant with corpulence as a health challenge concern, and a negative component of mental health. The researchers revealed that White participants were well informed about their BMI than African American or Hispanic respondents. Nevertheless, in the general populace, women and those of higher socioeconomic status were ready to see their weight status.

Psychosocial Effects of Corpulence on Adults

Researchers have examined the effects of obesity on mental and social status of the individual. Research has been done to assess the social impacts that weight can have on the individual. One conspicuous psychosocial impact of corpulence is humiliation. Vartanian and Silversetein (2013) led a study to distinguish generalizations connected with corpulence, while looking at the correlation of these attributes with social status. With a goal to answer these inquiries, the analysts gathered information from 81 college students using overviews. The researchers evaluated the responses of the participants based on social perceptions of obesity.

Members provided additional information about their perspectives on weight and life’s general convictions. The results revealed that corpulent people display lower societal position. Although respondents communicated a comprehension of social generalizations of the weight as being apathetic, their perspectives of cliché attributes reflected social perspectives. The study concluded that cultural stereotype directly affects the individual’s psychological status. By implication, social views of obesity affect an individual mental health. Studies by Vartanian and Silverstein (2013) suggested that a higher status nullified a portion of the negative generalizations connected with heftiness.

This study demonstrated that corpulence influenced social shame, much as an individual can be demonized for their ethnic or racial foundation. The presence of weight disgrace has been a genuine concern, even among medical experts. Treachman and Brownell (2001) analyzed the perceptions of caregivers on obesity. At a gathering, they furnished such experts with an implicit-association test (IAT) and in addition an overview about weight-inclination (Treachman & Brownell, 2001). The implicit-association test showed that members matched negative credits to people with higher BMI. Nevertheless, in the inclination overview, members appeared to be unbiased, beside an impression that slim individuals are exceptionally energetic. Human service suppliers appeared to have lower levels of inclination than other people in the society.

Quick, Hanlon, El-Redy, Puhl, and Glazebook (2013) led another study that analyzed the impression of human services experts towards corpulence people. Medical students were evaluated for their level of weight predisposition, and reasons for weight inclination. Results on a Fat Phobia Scale demonstrated negative demeanors toward those arranged as overweight or corpulent, with 13.5% of members indicating high predisposition scores (Swift et al., 2013). The inclusion variables for the study were nursing profession, high BMI, and mental distress.

Ashmore, Friedman, Reichmann, and Musante (2008) looked into stigma’s mental impacts on obese people. The specialists evaluated different stress indications and eating behaviors of the sample population. Their study included 93 fat men and women as members, who took the Stigmatizing Situations Inventory Survey (SSI) that evaluated stigma patterns and its occurrence (Ashmore et al., 2008). Members exhibited mental functioning through the Brief Symptoms Inventory (Ashmore et al., 2008). The results revealed that 98% received negative remarks based on their weight. The well-known demonizing circumstances for members were unflattering suppositions about them, encountering physical obstructions, strategic distance from them or avoided because of weight, and listening to harmful remarks by kids. However, most members had encountered a few of these circumstances. Both mental misery and gorging practices were associated with slandering encounters.

Savoy, Almeida, and Boxer (2012) examined the relationship between disgrace, depressive side effects, and adapting systems corpulent adults. The scientists trusted that weight belittling was connected with expanded mental pain, and that adapting style influenced this relationship. Members took the Myers and Rosen’s Stigmatizing Situations Inventory, looking at sort and the recurrence of vilification (Savoy et al., 2012). They additionally took a Stressful Urban Life Event Scale, measuring urban anxiety in the most recent year, an evaluation of adapting methodologies, and the Achenbach and Rescorla’s Adult Self Report of mental pain (Savoy et al., 2012). The results revealed the correlation between mental pain and stigmatization. Obese members experienced shame, depressive side effects, and tended to utilize withdrawal as an adapting system. The study revealed that distinctive adapting techniques influenced how an individual reacted to shame. The individuals who utilized issue-centered measures experienced less depressive side effects, while those with emotion focused methodologies, for example, denying issues, experienced more depressive signs.

Interaction between Mental Health and Obesity in Adolescents

Teenagers are not resistant to weight-based disgrace experienced by grownups. Greenleaf and Weiller (2005) evaluated physical education instructors to ascertain their perceptions on obesity. Members complete the Anti-fat Attitudes Scale form and a Perceptions of Youth Obesity and Physical Education Questionnaire (Greenleaf & Weiller, 2005). They were additionally given an Expectations Questionnaire, which solicited them to rate their level from concurrence with articulations about physical, social, and scholarly desires of fat and non-hefty teenagers (Greenleaf & Weiller, 2005). The researchers revealed that PE educators displayed anti-fat mentalities and lower desires of the physical and thinking capacities of overweight adolescents. The PE instructors saw heftiness as an essential social theme and a challenge for adolescents.

Puhl and Luedsicke (2012) contemplated weight-based shame by analyzing a school environment. The researchers selected 394 participants from East Coast secondary schools. Young people in their concentrate, particularly females, reported sentiments of sorrow and bitterness meted by companions. The results revealed that 50 percent of participants encountering weight-based torment reported negative enthusiastic reactions with young women. Young women experienced pain disparagement than young men, and experienced negative feelings with every occurrence. These negative passionate reactions to stigmatization were identified with undesirable adapting methodologies, for example, shirking, and voraciously consuming food. Social results were additionally talked about; with teenagers having poor grades or playing hooky with every prodding episode.

Simpkins, Schaefer, Price, and Vest (2013) analyzed BMI and its relationship to adolescent peers. Information was gotten from the National Longitudinal Study of Adolescent Health, which assessed teenagers from two secondary schools (Simpkins et al., 2013). One secondary school was fundamentally Caucasian, while the second had a differing populace. The results revealed that participants particularly females, chose companions who were of comparative BMI and physical movement. Furthermore, individuals with elevated amounts of physical action were seen to have more companions. Social variety was observed with high BMI teenagers among the sample population. Stigmatization is a predominant concern affecting overweight and large teenagers.

Jeffers, Cotter, Snipes, and Benotsch (2013) examined the impacts of media weight on the emotional wellness of young people. The researchers assessed the sample population using scales for despondency and body image. The result was consistent with previous literatures on the topic. By implication, participants with higher BMI displayed negative emotions. However, the body mass index was not responsible for emotional distress. Thus, media sentiments influenced stigmatization of obese adolescents. With psychosocial elements, for example, disgrace and media weight becoming important factors. Presnell, Bearman, and Stice (2004) analyzed social elements that put young people in danger for body disappointment.

The scientists reviewed more than 500 secondary school understudies, utilizing the Perceived Sociocultural Pressure Scale, Ideal-Body Generalization Scale, Social Support Scale, Body Dissatisfaction Scale, and BMI estimation (Presnell et al., 2004). The results revealed that women showed elevated amounts of body disappointment than men. However, components for body disappointment, for example, media weight was insignificant during the research. Negative influence was the major indicator of body disappointment in men, while weight from companions was the significant measurement of body disappointment for women.

Obesity and Mental Health

With noteworthy psychosocial variables identified with heftiness, it is vital to consider how psychological wellness is identified with stoutness (Yue, Ying, & Yang, 2009). One generally seen type of mental pain is gloom. Yue et al. (2009) investigated the connection between BMI and dejection utilizing Canadian grown-up as members. The scientists analyzed variables such as age and sex and its correlation. Information was collected from the Canadian Community Health Survey (CCHS), and included overview data from 59,652 teenagers (Yue et al., 2009). Consequently, the review questions for the research include weight order, wage, training, movement level to mention a few. The researchers demonstrated that women had a higher predominance of discouragement, yet had a lower predominance of being overweight or corpulent than men. Thus, overweight and underweight influenced depression and stigmatization. Weight expanded danger of dejection by 30%, while being underweight expanded danger of gloom by 40%.

Mustillo et al. (2013) analyzed the degree of how weight-based shame causes mental misery in pre-adult females. The researchers investigated the contrasts in long and fleeting mental trouble on youths of various racial foundations. Information was gained from the National Heart, Lung, and Blood Institute’s Growth and Health Study, which gave longitudinal information from 2,379 young females between the ages 10 to 20 (Mustillo et al., 2013).

The study saw a relationship between weight and mental misery, and additionally a relationship between being named as fat and encountering mental pain. Parental naming as children unequivocally influenced youths. These kids placed emphasis on peer names at old age. In spite of these similitudes, mental misery was introduced distinctively taking into account ethnicity. Mental misery influenced influence White women into youthful adulthood than it accomplished for Black men, with both populaces encountering trouble as a quick aftereffect of weight naming. Overweight status and mental misery if experienced, persevered after some time for both groups. Previous surveys highlighted how dejection danger can change after some time.

Merten, Wickrama, and Williams (2008) investigated the connection between corpulence and mental misery after some time. The analysts speculated that being overweight in youth prompted depressive side effects in adulthood and negative psychosocial results, for example, lower levels of training and status occupations. The specialists utilized information from the Longitudinal Study of Adolescent Health that conducted interviews on youths (Merten et al., 2008). Information was initially gathered with members between ages 12 and 18, and was gathered again between ages 19 and 26. While young men did not indicate solid connections, women who were overweight, or who shown depressive side effects, showed lower status accomplishment in adulthood. These outcomes were reliable for both White and African American young women. This study highlights the influence of weight and other psychosocial components on the mental health of adolescents.

Frisco, Houle, and Martin (2009) analyzed the connection between genuine weight, apparent weight, and depressive side effects. The researchers assessed the influenced of weight perceptions on the individual. Consequently, the research team approved two hypotheses for the study.

The principal hypothesis talked about double jeopardy, which proposed that danger components had an added substantial impact. For instance, being both overweight and having an unreasonable impression of one’s weight influenced depressive manifestations than just being overweight. The other hypothesis tested was health congruence, which recommended that the incongruence between perceived and real wellbeing cause depressive side effects. The scientists utilized information from the Add Health Longitudinal Study, a survey including youths from seventh to twelfth grade (Frisco et al., 2009). The researchers established proof for hypothesis two, demonstrating that weight observation assumes a more prominent part in mental pain than genuine weight. For instance, the study established that regardless of the genuine weight, when young women considered themselves heavier than they were, they displayed depressive manifestations.

Granberg, Simons, Gibbons, and Melby (2008) examined some African American students based on severe depressive manifestations. The specialists conjectured that being overweight, or seeing oneself as overweight, have mental results that interceded by defensive social elements. The authors communicated a conviction that African American women have a more adaptable perspective of proper self-perception, and that social connections invalidated the mental misery of being overweight or seeing oneself as overweight.

With the objective to test these speculations, the specialists utilized the Family and Community Health Study (FCHS), which gave information of 343 respondents between the ages of 12 and 14 (Granberg et al., 2008). Misery scores of these young women were low, however, observed weight gain and high BMI corresponded with depressive indications. The results revealed that public perceptions of obesity influenced an individual’s mental health. Consequently, expanded cooperation with non-African Americans was connected with depressive indications, while living in African American neighborhoods diminished the probability of depressive indications.

Vogt (2010) analyzed weight recognition in connection to sex, with the conviction that men and women had distinctive perspectives of the “perfect” body nomenclature. Information concerning eleventh graders was gained from the National Longitudinal Study of Adolescent Mental Health (Vogt, 2010). Surveys on obesity reflected past studies demonstrating weight recognition instead of real weight to be associated with mental misery. Young women occupied with weight reduction practices were connected to diminished self-regard. In addition, a woman’s view of being overweight was connected to negative self-regard and discouragement.

The results were distinctive for young men without symptoms of mental misery. By implication, the respondents were unfazed with weight, apparent heftiness, and weight reduction practices. Bearman, Presnell, Martinez, and Stice (2006) examined the correlation of body disappointment, sex, and despondency. Using self-report surveys at different time, they noted changes in body disappointment. Young women demonstrated body disappointment; a pattern not consistent in young men. Despite BMI, male members demonstrated a typical dispersion of body fulfillment and disappointment, showing that genuine weight is not a noteworthy indicator of body disappointment.

Weight and Severe Mental Distress

Previous literatures have talked about corpulence and negative weight observation as identified with mental pain and despondency. Different studies have analyzed the connections between weight and extreme levels of mental misery. Dave and Rashad (2009) analyzed the correlation of overweight, apparent overweight, despondency, and suicide hazard among secondary school students. Data for the review was gathered from ninth-twelfth graders in the United States. The confidential data were retrieved from the Youth Risk Behavioral Surveillance System (YRBSS) (Dave & Rashad, 2009). The study revealed that overweight teenagers were prone to weight reduction practices through undesirable means. Both young men and women were found saw themselves as overweight, notwithstanding when they were normal. This relationship was more grounded for young women. Of the females overviewed, 37.4% trusted themselves to be overweight while just 23% were sorted as overweight by BMI score.

The researchers revealed that apparent weight gain expanded suicide hazard for young women by 8.5% and 3.5% of male respondents. The results analysis demonstrated that those with incongruent, or unreasonable, impression of their bodies were at expanding danger for melancholy when contrasted with those with practical body discernments. The study exhibited a potential connection between weight discernment and suicide hazard. Kim, Moon, and Kim (2011) have facilitated this examination, speculating that melancholy, unlikely self-perception, and weight control practices influence suicide practices in young people. The researchers argued that contrary view of the world, for example, implausible self-perception and feeling the requirement for weight control practices can incline a man to experience discouragement and self-destructive ideations. Kim et al. (2011) utilized the 2007 YRBSS to obtain information from 11,134 secondary school students. The results revealed that females were in serious danger for self-destructive practices than males.

By implication, gloom, improbable self-perception, and weight control practices were associated with suicide hazard. Crow, Eisenberg, Story, and Neumark-Sztainer (2008) examined information about weight control practices, body disappointment, and weight status. The scientists conjectured that these elements are associated with self-destructive ideations or practices. Thus, weight control practices significantly influenced suicide hazard in women.

Ethnic Disparity and Corpulence

Claire Wang, Gortmaker, and Taveras (2011) analyzed ethnic patterns in extremely large people. Utilizing information from the National Health and Nutrition Examination Study, examined corpulence patterns from the mid-1970s until 2006, with members arranged as non-Hispanic Black, non-Hispanic White, and Mexican American (Claire Wang et al., 2011). Black and Mexican American youths were observed to be seriously corpulent. Those at most elevated danger were Mexican American young men and Black young women. However, White teenagers were not affected by weight gain and suicide hazard.

Albrecht and Gordon-Larsen (2013) examined the impact of ethnic disparity in juvenile stoutness. Notwithstanding, their study was longitudinal, analyzing contrasts in BMI variety. Utilizing information from the National Study of Youthful Health, they analyzed respondents categorized as White, Hispanic, and Asian (Albrecht & Gordon-Larsen, 2013). The results revealed that respondents had comparable BMIs at youthful ages. Hispanic participants demonstrated increments in BMI after some time than White or Asian members. However, Asian participants had a lower BMI than other groups, a pattern that stayed predictable after some time. Although, there was some ethnic disparity in BMI changes after some time, puberty phase was prominent among respondents.

Higgins and Dale (2012) used information from the Health Survey for Britain (HSE) to assess the relationship between corpulence and ethnicity. The study selected kids from ages 2 to 15. Specialists looked at BMI, parental heftiness, and parental socioeconomic status. The three significant ethnicities included were Black African, Caribbean, and White. Among these ethnicities, parental heftiness was observed to be associated with adolescence corpulence. Having a hefty mother or father was connected with corpulence, particularly involved with a corpulent or overweight mother and her girl. Jackson examined ethnic varieties in the psychosocial results of corpulence.

The specialists analyzed varieties in instructive achievement among Black and White people using their body mass index. Information originated from the National Health Interview Survey from 1997- 2008 (Jackson et al., 2013). The study observed that BMI expanded for all ethnicities, with Whites demonstrating a quicker rate of BMI change after some time. However, Black respondents had a higher BMI than White members. Furthermore, it was found that Black women with post-secondary school trainings were overweight or larger than White women of the same instructive foundation. By implication, ethnicity, sexual orientation and socioeconomic as demonstrated by instructive fulfillment were considered.

Anderson et al. (2011) analyzed ethnic disparity based on weight and psychological well-being. The specialists directed a longitudinal investigation of young people with BMI and discouragement for White, Black, and Hispanic females. The researchers acquired information through the Trial of Activity for Adolescent Young women (Anderson et al., 2011). The results revealed that Black and Hispanic young respondents have a higher BMI. As to melancholy, White respondents had minimal levels of wretchedness in 6th grade, while Black members had the largest amounts. Hispanic and White respondents demonstrated increments in gloom after some time. White respondents with high BMIs at more youthful ages were exposed to wretchedness as adults.

Physical Fitness and Body Mass Index

Being physically fit has many positive benefits in both adults and children. Mental health can be improved by combining efforts of cardiovascular and muscular fitness while both employ a positive effect on the cardiovascular system. There is also strong evidence indicating that adolescence physical fitness is related to skeletal bone health (Lawler & Nixon, 2011). Surveys on physical fitness indicated that the bone mineral content of the whole body was directly associated with several aspects of physical fitness, including respiratory fitness, muscular fitness, and speed/agility (Lawler & Nixon, 2011). Mental health can be defined as how individuals think, act, and feel. Adolescents and children can also experience mental health disorders including anxiety, depression, or personality disorders (Lawler & Nixon, 2011). Previous studies revealed that self-esteem is affected by physical fitness (Vartanian & Silverstein, 2013)

Thus, physical fitness is a useful health marker in adolescence. The number of physical and mental health benefits reinforces the need for physical fitness testing for monitoring health (Vartanian & Silverstein, 2013).

Physical fitness enhancement, including high-intensity training and vigorous-physical activity, should be a major goal in public health promotion (Vartanian & Silverstein, 2013). Consequently, physical fitness involves an array of fitness, including cardiorespiratory fitness, muscular fitness, speed/agility, balance, and flexibility. To acquire the overall fitness of the individual, physical activities must be encouraged. Body mass index (BMI) is the most common and widely adopted method for measuring the weight status or obesity. BMI is the best and available way to measure obesity levels in a large group setting (Treachman & Brownell, 2001). In children, there is no specific cutoff point to indicate obesity; instead, there are gender-specific growth reference charts that are used to interpret BMI measurements.

The BMI growth charts are both cautious and conservative; therefore, children who are above the cutoff are excessively fat and at increased health risk (Treachman & Brownell, 2001). In the past 30 years, there has been a reported increase in BMI growth. In a study looking at 70 years of BMI data showed that children born in 1973-1999 had the largest BMI values from 8 years of age and onward, compared to the other cohorts (Treachman & Brownell, 2001). The amount of children with a BMI above the 85th percentile cutoff point is also increasing rapidly (Treachman & Brownell, 2001). There are a few disadvantages of utilizing BMI as a wellbeing pointer. BMI does not consider sexual orientation, race, age, wellness level, or ethnicity (Treachman & Brownell, 2001). BMI likewise does not separate between incline mass and fat mass (Treachman & Brownell, 2001). This impediment is particularly risky with more seasoned adolescents because they have a tendency to lose and gain weight

Epidemiological studies have exhibited that high BMI, predictable with overweight or weight is connected with a more serious danger of mortality. A conceivable clarification for this relationship is the obtuseness of BMI to real wellbeing status. Surveys revealed that people with normal BMI have an overweight‐obese metabolic system. Overweight and hefty people will probably be inactive and have low oxygen levels than their non‐overweight partners. As indicated by the Aerobics Center Longitudinal Study from Dallas, Texas, high-impact wellness levels may alleviate much, if not all, of the hazard connected with stoutness (Gaesser, 2003).

Stout men who are delegated “fit” in light of a practice treadmill test have demised rates lower than lean‐fit men. Information from the Behavioral Risk Factor Surveillance Framework (BRFSS) demonstrates that the absence of physical activity is more critical than the abundance of body weight as an indicator of cardiovascular mortality (Gaesser, 2003). By implication, there is a possibility that a fit person that is delegated overweight or corpulent as indicated by BMI may have a lower danger of mortality than an ordinary weight person without physical activity.

Literature Review Table
Author(s) Sample Measures/ Data Analysis Results
Crossman, Sullivan, and Benin (2006) -n= 300
Adolescents and parents
Data was collected from the United States National Longitudinal Study of Adolescent Health. The authors examined the impacts of family environment and practices while in school grades 7 through 12 on their weight status. Parental stoutness affects male and female children. Researchers concluded that the probability of being overweight expanded by 81.2% for youngsters at the danger of corpulence. Furthermore, being obese as a youngster expanded the chances of being an overweight grown-up by 22.92%.
Consequently, the study revealed that overweight guardians expanded danger for their children, particularly for male kids.
Babey, Hastert, Wolstein, and Diamant (2010) -n= the researchers selected 17 535 respondents using the California Health Interview Survey between 2001 and 2007. Interviews were conducted in five languages. Consequently, the researchers used digital phone surveys. The analysts discovered the measurable significance in the relationship between income and corpulence, with those from lower levels of wage encountering prominent predominance of high BMI. The results revealed that male adolescents demonstrated a prominent occurrence of corpulence than females. Consequently, the report revealed Latin American adolescents experienced stoutness more than White young people.
Thulitha Wickrama, Wickrama, Bryant, and Chalandra
(2006)
-n= the researchers examined 20,000 adolescents Questionnaires were used for the study Largely, those of African Americans and Hispanic foundations were observed to encounter heftiness at adolescents. Destitution inside a participant’s family and the group were both connected with higher danger for heftiness. Group destitution had an exceptional effect, with adolescents from low pay encountering higher rates of stoutness than people from higher pay families. This relationship was consistent with White teenagers.
Sivalingam, S. K., Ashraf, J., Vallurupalli, N., Friderici, J., Cook, J., & Rothberg, M.
(2011)
-n= 970
Participants were examined. Participants were US Whites, African American, and Hispanics
The researchers used the cross-sectional survey method. Most members were conversant with corpulence as a health challenge concern, and a negative component of mental health. The researchers revealed that White participants were well informed about their BMI than African American or Hispanic respondents. Nevertheless, in the general populace, women and those of higher socioeconomic status were ready to see their weight status.
Vartanian and Silversetein (2013) -n=the authors conducted a qualitative study on obesity. The results revealed that corpulent people display a lower societal position. Although respondents communicated a comprehension of social generalizations of the weight as being apathetic, their perspectives of cliché attributes reflected social perspectives. The study concluded that cultural stereotype directly affects the individual’s psychological status. By implication, social views of obesity affect an individual mental health.
Treachman and Brownell (2001) n= the authors examined 84 health professionals. Participants filled the Association Test Members appeared to be unbiased, besides an impression that slim individuals are exceptionally energetic. Human service suppliers appeared to have lower levels of inclination than other people in the society.
Swift, Hanlon, El-Redy, Puhl, and Glazebook (2013) n= 1130 students Questionnaires were distributed to 1130 participants. Respondents signed the consent form. Results on a Fat Phobia Scale demonstrated negative demeanors toward those arranged as overweight or corpulent, with 13.5% of members indicating high predisposition scores.
Ashmore, Friedman, Reichmann, and Musante (2008) -n= 93 respondents completed the questionnaire survey Quantitative design was sued for the research The results revealed that 98% received negative remarks based on their weight. The well-known demonizing circumstances for members were unflattering suppositions about them, encountering physical obstructions, strategic distance from them or avoided because of weight, and listening to harmful remarks by kids. However, most members had encountered a few of these circumstances. Both mental misery and gorging practices were associated with slandering encounters.
Savoy, Almeida, and Boxer (2012) -n= 199 participants completed the study evaluation. The sample population undergraduates and Bariatric participants. Quantitative design was used The results revealed the correlation between mental pain and stigmatization. Obese members experienced shame, depressive side effects, and tended to utilize withdrawal as an adapting system. The study revealed that distinctive adapting techniques influenced how an individual reacted to shame. The individuals who utilized issue-centered measures experienced less depressive side effects, while those with emotion-focused methodologies, for example, denying issues, experienced more depressive signs.
Greenleaf and Weiller (2005) n= 105 PE instructors Questionnaires were used for the study The researchers revealed that PE educators displayed anti-fat mentalities and lower desires of the physical and thinking capacities of overweight adolescents. The PE instructors saw heftiness as an essential social theme and a challenge for adolescents.
Puhl and Luedicke (2012) –n= 394 Caucasians Binary regression method was used to analyze the data Young women experienced pain disparagement than young men and experienced negative feelings with every occurrence. These negative passionate reactions to stigmatization were identified with undesirable adapting methodologies, for example, shirking, and voraciously consuming food. Social results were talked about; with teenagers having poor grades or playing hooky with every prodding episode.
Simpkins, Schaefer, Price, and Vest (2013) -n= 1896 adolescents were examined Questionnaires were distributed to participants. Percentile design was used for the study. The results revealed that participants particularly females, chose companions who were of comparative BMI and physical movement. Furthermore, individuals with elevated amounts of physical activity were seen to have more companions. Social variety was observed with high BMI teenagers among the sample population. Stigmatization is a predominant concern affecting overweight and large teenagers.
Jeffers, Cotter, Snipes, and Benotsch (2013) -n= 743
The authors conducted an online survey.
Online survey platform The result was consistent with previous literature on the topic. By implication, participants with higher BMI displayed negative emotions. However, the body mass index was not responsible for emotional distress. Thus, media sentiments influenced the stigmatization of obese adolescents.
Presnell, Bearman, and Stice (2004) -n= 531 teenagers
Were selected
Correlation design was used The results revealed that women showed elevated amounts of body disappointment than men. However, components for body disappointment, for example, media weight was insignificant during the research. Negative influence was the major indicator of body disappointment in men, while weight from companions was the significant measurement of body disappointment for women.
Yue et al. (2009) -n= 59,652
13-18 years of age
Questionnaires were used for the study. The researchers demonstrated that women had a higher predominance of discouragement, yet had a lower predominance of being overweight or corpulent than men. Thus, overweight and underweight influenced depression and stigmatization. Weight expanded danger of dejection by 30% while being underweight expanded danger of gloom by 40%.
Mustillo et al. (2013) -n= 2,379 young females between the ages of 10 to 20 Multiple linear regression analysis The study saw a relationship between weight and mental misery, and a relationship between being named as fat and encountering mental pain. Parental naming as children unequivocally influenced youths. These kids placed emphasis on peer names at old age.
Merten, Wickrama, and Williams (2008) –n= 7,881 African Americans, 2,864 White males and 3,029 females Questionnaire and statistical regression The analysts speculated that being overweight in youth prompted depressive side effects in adulthood and negative psychosocial results, for example, lower levels of training and status occupations. The specialists utilized information from the Longitudinal Study of Adolescent Health.
Frisco, Houle, and Martin (2009) -n= 6,557 male and 6,126 female respondents Questionnaires were used for the study. The researchers established proof for hypothesis two, demonstrating that weight observation assumes a more prominent part in mental pain than genuine weight. For instance, the study established that regardless of the genuine weight, when young women considered themselves heavier than they were, they displayed depressive manifestations.
Granberg, Simons, Gibbons, and Melby (2008) -n= body size measurement Correlations and t-test were used for the study. The results revealed that public perceptions of obesity influenced an individual’s mental health. Consequently, expanded cooperation with non-African Americans was connected with depressive indications, while living in African American neighborhoods diminished the probability of depressive indications.
Vogt Yuan (2010) -n= 12,814 adolescents Statistical analysis The results were distinctive for young men without symptoms of mental misery. By implication, the respondents were unfazed with weight, apparent heftiness, and weight reduction practices.
Bearman, Presnell, Martinez, and Stice (2006) -n= 428 Consent forms and questionnaires were used. Despite BMI, male members demonstrated a typical dispersion of body fulfillment and disappointment, showing that genuine weight is not a noteworthy indicator of body disappointment.
Dave and Rashad (2009) -n= data between 1999 and 2007. Chi-square analysis The study revealed that overweight teenagers were prone to weight reduction practices through undesirable means. Both young men and women were found saw themselves as overweight, notwithstanding when they were normal. This relationship was more grounded for young women. Of the females overviewed, 37.4% trusted themselves to be overweight while just 23% were sorted as overweight by BMI score.
Kim, Moon, and Kim (2011) N = 11,134 adolescents Statistical analysis The scientists conjectured that these elements are associated with self-destructive ideations or practices. Thus, weight control practices significantly influenced suicide hazards in women.
Claire Wang, Gortmaker, and Taveras (2011) N = 33781 Black and Mexican American youths were observed to be seriously corpulent. Those at most elevated danger were Mexican American young men and Black young women. However, White teenagers were not affected by weight gain and suicide hazard.
Albrecht and Gordon-Larsen (2013) N = 6936 The results revealed that respondents had comparable BMIs at youthful ages. Hispanic participants demonstrated increments in BMI after some time than White or Asian members. However, Asian participants had a lower BMI than other groups, a pattern that stayed predictable after some time.
Higgins and Dale (2012) N = 7047 children were examined Statistical analysis Among these ethnicities, parental heftiness was observed to be associated with adolescence corpulence. Having a hefty mother or father was connected with corpulence, particularly involved with a corpulent or overweight mother and her girl.
Jackson et al., 2013 N = 174,228 respondents Statistical analysis The study observed that BMI expanded for all ethnicities, with Whites demonstrating a quicker rate of BMI change after some time. However, Black respondents had a higher BMI than White members.
Anderson et al. (2011) N = 918 teenage girls Questionnaires and statistical analysis The results revealed that Black and Hispanic young respondents have a higher BMI. As to melancholy, White respondents had minimal levels of wretchedness in 6th grade, while Black members had the largest amounts.

Methodology

Study Design

The present study was an engaging quantitative study, using optional information. Information was gained from the CHIS 2011-2012 database. The CHIS study was directed through the University of California Los Angles (UCLA) Center for Health Policy Research, with the 2011-2012 overview including reactions from 2,799 young people (CHIS, 2012). CHIS information gives data about different wellbeing challenges affecting California occupants (CHIS, 2012).

The motivation behind the present study was to give data about the relationship between weight status and psychological well-being, both of which are independent points in the CHIS review. The IBM programming, Statistical Package for the Social Sciences (SPSS) 21.0, was utilized as a part of the investigation of BMI, health, mental health, and demographics from CHIS 2011-12 adolescents’ data.

Information Collection Method

The study on BMI, health, and mental health was analyzed using secondary data. Optional information was gained through CHIS, an extensive study of California young people. Information was accumulated with the aim of giving statewide and global wellbeing data about the inhabitants. Overviews were led through random digit dialing (RDD), with both landlines and mobile phones included throughout the study period. Family units from each of the 58 California districts were incorporated into a request to make a differing and delegate test of the general populace (CHIS, 2012).

Sampling Method

Information was gathered from 2,800 were youths between 2011 and 2012. For overview, teenagers were sorted as those with ages going from 12 to 17. The greater part of youthful members ordered themselves as Latin American adolescents. For the present study, information from 2,400 members was used.

Study Instrument Design

The present study used reactions to collect inquiries from the 2011-2012 CHIS review instruments. Factors were picked because of their importance to the present study and questions. The accompanying demographic factors include age, sexual orientation, ethnicity, weight, stature, and BMI. One question concerning the general wellbeing condition was joined in the study. Consequently, the accompanying factors on emotional wellness care and concerns were incorporated: encounters of genuine mental trouble, discouragement, and utilization of mental and enthusiastic directing. BMI and mental misery were factors given by CHIS. BMI was computed using weight and stature.

Genuine mental pain was measured through a blend of six psychological well-being factors, including: feeling apprehensive, feeling sad, feeling eager or uneasy, feeling discouraged, feeling that everything was an exertion, and feeling useless (CHIS, 2012). CHIS has not yet unveiled how they found out these factors.

Psychological Well-Being Scale

The K6 is prescribed as a basic measure of mental trouble and as a measure of results taking after treatment for normal psychological wellness issues. It comprises six inquiries concerning depressive and uneasiness side effects that the respondent has encountered. The self-report style of inquiries helps with proof of emotional well-being issues. The test also evaluates the need for medical treatment. The Kessler Psychological Distress Scale (K6) is a shortened rendition of the K10, broadly utilized measure for either screening or seriousness. Because of the K6’s quickness and consistency crosswise over sub-tests, it is favored when screening for state of mind or uneasiness issue.

Each of the six variables were coded so that the more prominent the recurrence of side effects, the higher the score. The psychological distress matched the assigned values for six entries. The six things that went from a score of 4 for reaction “constantly” and 0 for “not in the slightest degree”. The greatest value is 24 and the base esteem is 0. A score of at least 13 on the misery scale demonstrates if the respondent likely has mental pain amid the previous month. The six variables include: felt nervous past 20 days, feel hopeless past 20 days, feel anxious past 20 days, and feel depressed past 20 days.

Data Analysis

The present study utilized SPSS to dissect factors from the CHIS information set. Univariate examination was used for fitting factors and gave data concerning recurrence appropriations, means, and standard deviations. Bivariate investigation was led to test explore questions. Bivariate correlational examinations were directed to evaluate for a relationship between BMI and discouragement and additionally between BMI and encounters of genuine mental trouble. For all other bivariate tests, information was categorized into two gatherings by weight status: underweight/sound weights amass with BMI going from 9-24, and an overweight amass, with a BMI of 25 or above.

A Chi-square test was utilized to evaluate the relationship between BMI, health, and mental health among Latin American adolescents. Free gatherings t-tests were utilized to look at the relationship between both sex and encounters of discouragement, and sex, and encounters of genuine mental trouble, by BMI. Free gatherings t-tests were likewise used to look at the relationship between general wellbeing condition, discouragement, and genuine mental misery by BMI. Finally, One-way ANOVA examination was utilized to decide the relationship using CHIS data.

Constraints of the Study Methodology

Constraints existed inside the plan of this study. A large number of these impediments relate to the populace available to CHIS examination. The Latin American population inside this study was as constrained. While profitable data was gotten from an examination of the CHIS information set, one must consider the presence of puzzling factors. Unexamined variables, for example, socioeconomic factors, singular history, and family history cannot be tested using the CHIS data. In addition, reactions are liable to socially attractive quality predisposition.

Numerous people and societies have a shame against emotional well-being consideration, so the utilization of advising administrations or the declaration of mental misery might be underreported. A last restriction exists inside the study instrument. The CHIS review concentrates on physical wellbeing than psychological wellness, restricting the measure of available, significant information. Two factors, BMI, and genuine mental trouble were given by CHIS and computed using different factors.

Social Work Ethics

The study on BMI, health, and mental health were analyzed using secondary data. By implication, we had no reason to endanger participants.

Variable Table
Research Question: Is there a correlation between body mass index and mental health?
Dependent Variable: Body Mass Index
Independent Variable: Mental Health
Data: California Health Interview Survey, CHIS 2011-2012 Adolescent Survey. UCLA Center for Health Policy Research. Los Angeles, CA: December 2011
Psychological variable (Distress)
TG 11 Feel nervous in the past 20 days 565 most, 656 some, 534, a little, 32 none, 23 refused, don’t know
TG 12 Feel hopeless in the past 20 days 567 most, 456 some, 634, a little, 32 none, 23 refused, don’t know
TG 13 Feel restless in the 20 Days 530 most, 446 some, 434, a little, 32 none, 23 refused, don’t know
TG 14 Feel depressed in the past 20 Days 678 most, 386 some, 734, a little, 32 none, 23 refused, don’t know
TG 15 Feel worthless 360 most, 476 some, 534, a little, 32 none, 23 refused, don’t know
TG 16 Low self-esteem 340 most, 556 some, 834, a little, 32 none, 23 refused, don’t know
BMI Variables
BMI Dissatisfaction with life -2 proxy skipped
TG11 How often during the past 30 days did you feel nervous 400 most, 456 some, 234, a little, 32 none, 23 refused, don’t know
TG12 FEEL HOPELESS PAST 30 DAYS 400 most, 456 some, 734, a little, 32 none, 23 refused, don’t know
400 most, 456 some, 634, a little, 32 none, 23 refused, don’t know
TG13 FELL RESTLESS PAST 30 DAYS 400 most, 456 some, 234, a little, 32 none, 23 refused, don’t know
400 most, 456 some, 708, a little, 32 none, 23 refused, don’t know
TG14 FEEL DEPRESSED PAST 30 DAYS 300 most, 356 some, 408 a little, 345 none, 24 refused, don’t know
300 most, 356 some, 408 a little, 345 none, 24 refused, don’t know
TG15 FEEL EVERYTHING AN EFFORT PAST 30 DAYS 400 most, 456 some, 308 a little, 245 none, 124 refused, don’t know
400 most, 456 some, 308 a little, 245 none, 124 refused, don’t know
TG16 FEEL WORTHLESS PAST 30 DAYS 300 most, 356 some, 408 a little, 345 none, 24 refused, don’t know
400 most, 456 some, 308 a little, 245 none, 124 refused, don’t know
Age Variables
RBMI -9 not ascertained, 1 us-born citizen, 2 naturalized citizen, 3 non-citizen
TA1MON What is your date of birth? -9 not ascertained, 1 us-born citizen, 2 naturalized citizen, 3 non-citizen
TA1DAY Day -9 not ascertained, 1 us-born citizen, 2 naturalized citizen, 3 non-citizen
TA1YR Year
TA1AMON What month and year were you born?
YRUS Year -9 not ascertained, -1 inapplicable, 1 <=1 year, 2 2-4 years, 3 5-9 years, 4 10-14 years, 5 15+ years
YRUSF How old are you? -9 not ascertained, -1 inapplicable, 1 <=1 year, 2 2-4 years, 3 5-9 years, 4 10-14 years, 5 15-19 years,
6 20-24 years, 7 25-29 years, 8 30+ years
TA1AYR YEARS MOTHER HAS LIVED IN THE US -9 not ascertained, -1 inapplicable, 1 <=1 year, 2 2-4 years, 3 5-9 years, 4 10-14 years, 5 15-19 years,
6 20-24 years, 7 25-29 years, 8 30+ years
Socioeconomic status Variables
TI11 In the past 12 months, did you think you needed help for emotional or mental health problems, such as feeling sad, anxious, or nervous? -9 not ascertained, -1 inapplicable, 1 united states, 2 Mexico, 3 central America, 4 other Latin America,
900 most, 316 some, 208 a little, 145 none, 44 refused, don’t know
QT11_F8 In the past 12 months, have you received any psychological or emotional counseling?
QT11_F9 In the past 12 months, did you receive any professional help for your use of alcohol or drugs? 900 most, 316 some, 208 a little, 145 none, 44 refused, don’t know
SRW Feel Depressed Past 20 Days -9 not ascertained, -8 don’t know, -7 refused, -2 proxy skipped, -1 inapplicable, 1 yes, 2 no
SRSEX Feel Depressed Past 20 Days 900 most, 316 some, 208 a little, 145 none, 44 refused, don’t know
Socioeconomic Variables
AHEDUC Feel Depressed Past 20 Days 300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know
300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know
300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know
FAMT4 FAMILY TYPE (4 LVLS) 1 single, no kids, 2 married, no kids, 3 married with kids, 4 single with kids
PMARIT2 Feel Restless Past 30 Days 300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know
300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know
POVLL Feel Restless Past 30 Days
TH2 Feel Restless Past 30 Days 300 most, 356 some, 708 a little, 145 none, 424 refused, don’t know

Results

The sample populations were drawn from the CIS survey template 2011-2012. As a result, 2,104 California youth was tested in the CHIS review. Please note that the sample populations were collected from the CHIS survey 2011-2012. The sample responses were based on the research topic. The present study used reactions to collect inquiries from the 2011-2012 CHIS review instruments. Factors were picked because of their importance to the present study and questions. The accompanying demographic factors include age, sexual orientation, ethnicity, weight, stature, and BMI.

The study investigated BMI, Health, and Mental Health among Latin American adolescents. Results collected were analyzed using statistical methods of analysis. The results were consistent with previous research studies. Table 1 showed the gender composition of the sample population. From the analysis, 49.6% were male, while 50.4% were female. The age composition of participants showed that adolescents chosen were between 12 and 17 years. By implication, the mean value of the age variable was 14.55 years. Additional information includes the geographical location of the participants. (SD = 4.734).

The geographical locations of participants were: 54.8% were Whites, 40.3% were Latina, and 4.9% were African Americans. However, the BMI of the subjects ran from 50 to 240 pounds, with the mean being about 132.62 pounds (SD = 22.263). Tallness ran from 46-77 inches, with a mean of 64.6 inches (SD = 4.691). BMI was found to run somewhere around nine and 52, with a mean of 22.36 (SD = 4.734). A BMI of 18.5-24.9 was viewed as sound. From the analysis, 22.3% were arranged as overweight or fat, with 77.7% classified as underweight/solid weight.

Self-reported mental health was observed to be poor or reasonable in 7.9% of members, with 92.1% reporting it as amazing or great. The individuals who had gotten medical help in the past year made up 10.6% of the populace, with 89.4% had no counseling. Young people were solicited to report their encounters from melancholy in the last month. Reactions ran from 0 to 4, with 4 showing elevated amounts of dejection. The mean reaction was.3346 (SD =.75111), showing low levels of dejection inside the example. Scores of genuine mental misery went from 0 to 24, with a mean score of 3.99 (SD = 3.497), showing low levels of mental trouble experienced by the populace.

Bivariate Results

A Chi-Square test was used to analyze the relationship between the utilization of mental health, BMI, and health of Latin American adolescents. The results were observed to be huge (x2 (1, N = 1990) =.515, p =.473), showing that there was a significant relationship between high and low BMI. The results revealed that variations in BMI affected the relationship between the health and mental health of adolescents in Latin America. By implication, the bivariate connection examination was used to inspect the relationship between BMI and mental pain, and in addition the relationship between BMI and wretchedness.

The outcomes demonstrated a positive relationship between BMI and mental pain (r =. 079, p =. 005), proposing that young people with higher BMI had more elevated amounts of mental trouble. Investigation moreover demonstrated BMI to be related to encounters of dejection in the last month (r =.064, p =.003), implying that those with higher BMI will probably encounter misery. However, a statistical t-test was used to decide sexual orientation contrasts with participants in mental trouble (Tables 5 and 6). The subjects were put into two bunches based on their BMI: overweight population (n = 470) and underweight/sound weight aggregate (n = 1634).

There was a measurably huge contrast between overweight males and females in their mental misery (t = – 2.194, df= 438, p =.001). The results revealed that overweight females (M = 4.02, SD = 3.318) experienced more mental trouble than overweight male adolescents (M= 3.89, SD = 3.307). There was a measurable distinction between overweight males and overweight females in their level of discouragement (t = – 3.441, df= 468, p =.001). Overweight females (M=.5670, SD =.94465) experienced higher discouragement than overweight boys (M=.2967, SD =.77020).

Consequently, there was a critical distinction between underweight/sound weight boys and underweight/sound weight females in their mental pain (t = – 4.368, df= 1632, p =.001). Underweight/sound weight females (M= 3.14, SD = 4.695) experienced more prominent mental pain than underweight boys. The result was consistent with previous literature on BMI and obesity. There was a measurably critical distinction between underweight/sound weight males and underweight/solid weight females in their level of discouragement (t = – 3.178, df= 1632, p =.005). Underweight/solid weight females (M =.4799, SD =.69861) had more levels of misery compared with underweight/sound weight boys (M=.2334, SD =.603).

One-way ANOVA examination was utilized to analyze if ethnic contrasts were responsible for mental misery in overweight adolescents. The subjects were categorized into overweight and underweight bunches. In the overweight category, no noteworthy contrast was found among ethnic gatherings in their mental pain (F =.628; df = 2; p =.534) or levels of sorrow (F = 2.157; df= 1; p =.215). In the underweight/solid weight category, the relationship between ethnicity and mental misery was observed to approach criticalness (F = 1.515, df= 2, p =.072), while the relationship between ethnicity and level of dejection (F = 7.747, df = 2, p =.005) was huge. The results revealed that underweight/solid weight Latin Americans (M=.5205, SD =.91456) encountered dejection, trailed by underweight/solid weight Latinos (M =.3658, SD =.77813), and finally underweight/solid weight Caucasians (M =.2570, SD =.64437).

The research also evaluated the relationship between mental misery and general wellbeing condition based on their BMI values. Factual criticalness was found in the overweight population (t = – 2.622, df= 438, p =.005). Overweight people with a poor general wellbeing condition (M= 5.71, SD = 4.452) were found to encounter more mental misery than overweight people with the great wellbeing condition (M= 4.11, SD = 3.637). This relationship was observed in underweight/sound weight people. The results revealed that general wellbeing condition was associated with mental trouble (t = – 4.802, df = 1632, p =.005), demonstrating that underweight/sound weight people with a poor general wellbeing condition (M= 5.71, SD = 4.572) experienced more prominent mental trouble than those with the great general wellbeing condition (M= 3.78, SD = 3.287). Based on the research variables, we conducted several independent tests to evaluate the relationship between despondency and general wellbeing condition, with members split by BMI status.

The results showed a significant correlation with the overweight populace (t = – 3.554, df = 468, p =.005), demonstrating that overweight teenagers with poor general wellbeing condition (M =.7849, SD = 1.13108) experienced prominent levels of sadness than overweight youths with great general wellbeing condition (M=.3369, SD =.76530). General wellbeing condition was observed to be associated with the general wellbeing condition in the underweight/sound weight test (t = – 5.165, df= 1632, p =.005), with underweight/sound weight people of poor general wellbeing condition (M=.7260, SD =.94664) encountering prominent levels of sadness than underweight/sound weight people with the great general wellbeing condition (M=.2889, SD =.69370).

Table 1: Demographic characteristics of variables

Item n % Mean
Gender
Female 1061 52.4
Male 1043 47.5
Age 14.55 (1.699)
12 329 15.6
13 342 16.1
14 361 17.2
15 363 17.0
16 370 17.5
Weight 131 (32.3)
Height 63.6 (4.7)
BMI 22.4 (4.6)
Sound weight(BMI <25) 1634 77.6
Obese (BMI > 25) 470
Ethnicity
Latino 1153 54.8
South America 103 4.8
North/Central America 843 40.4
Mental health / General wellbeing
Excellent /good 1945 94.3
Poor 159 5.7
Care Services (counseling)
Yes 256 12.2
No 1848 87.8

Table 2: Psychological distress analysis

Item N Range Mean
Depression 2104 0.4 .34 (.75)
Severe distress 2104 0.24 2.99 (3.5)

Table 3: Care Services (counseling) Adolescent BMI

Obese/overweight Sound weight
Variable n % n % x2 df p
Care
Yes 60 14.7 160 10.5 .42 1 .37
No 410 83.3 1360 89.5

Table 4: Relationship between BMI and Severe Distress

Item r p
BMI (depression) .078 0.05
BMI (severe distress) .065 0.03

Discussion of Results

This section incorporates a rundown of the present study’s discoveries while looking into their connection to earlier research. Suggestions towards social work practice, approach, and the study’s multicultural pertinence were discussed. Finally, suggestions for future research are tended to.

Discussions of Findings

The research verified statistical correlations and significance with the research questions. The research questions will be summarized below.

  1. Is there a correlation between body mass index and mental health?
  2. Is there a relationship between body mass index and health?
  3. Is there a correlation with mental health, body mass index, and general health among Latin American adolescents?

By implication, the results answered the research questions. The result revealed the correlation between BMI and mental health. Huge results were found for most of the exploration questions. Higher BMI was related to encounters of genuine mental misery and health. Sexual orientation was found to assume a part in the relationship between BMI, mental health, and discouragement. Both overweight and underweight/sound weight females were found to experience more mental misery and discouragement than their male partners.

Ethnicity was significant in the relationship between BMI, mental health, and health of Latin American adolescents. The results revealed that high and low BMI affects the mental health and health of Latin American adolescents. This sign was revealed in various results of analysis. Ethnicity was not a critical indicator of mental pain or melancholy in the overweight example. The general wellbeing condition was altogether connected with genuine mental pain and melancholy in the underweight, sound, weight, and overweight examples, with the poor general wellbeing condition connected to more elevated amounts of melancholy and misery for both categories.

Examination with Previous Literatures

The discoveries of the present study are predictable with earlier writing that relates BMI to mental health and health of adolescents. Although limited articles were available on the BMI status of women, existing studies suggested that a high body mass index affects women. In particular, this study found that higher BMI was identified with higher levels of melancholy. Yue et al. (2009) found that the danger of despondency was higher for those at the extremes of the BMI scale, being overweight or underweight. The present study found a comparable result in overweight members, however, did not investigate the relationship between underweight status and mental health. Two kinds of literature additionally connected BMI to mental health, something that was reflected in the present study’s outcomes. Dave and Rashad (2009) found that stoutness and the impression of heftiness were connected to suicide chance. Kim et al. (2011), found comparable results, with gloom, doubtful body discernment, and weight control practices connected to suicide.

The present study addressed related inquiries through the possibility of “genuine mental trouble,” however, did not have entry to information concerning the participant’s suicide level in CHIS information sets. Consequently, the present study examined previous literature with genuine mental trouble being fundamentally identified with BMI. The study found a relationship between sex, sadness, and mental health. In both the overweight and underweight tests, females encountered mental trouble and sadness. Earlier writing discovered comparable results, with women more inclined to experience dejection and higher hazard for suicide (Kim et al., 2011).

Sexual orientation was analyzed in connection with unreasonable weight recognition, with females having unreasonable weight discernments (Dave and Rashad, 2009). These improbable recognitions were connected to lower self-regard in females (Vogt Yuan, 2010). Numerous studies have analyzed this relationship between BIM weight discernment, mental pain, and despondency. The researchers revealed that weight discernment was identified with mental worries than genuine weight. In underweight, solid weight, and overweight specimens, the study revealed that poor mental health was identified with elevated amounts of sadness and mental pain. This is suggestive that mistaken view of self as the social ramifications it makes could be firmly identified with mental trouble and wretchedness as BMI.

Finally, the present study analyzed the mental health and health of adolescents in relationship with BMI and psychological wellness. Numerous studies have discovered connections between these components. Latin American adolescents were prone to a serious hazard for high BMI than Caucasian teenagers (Andersen et al., 2011; Claire et al., 2011; Jackson et al., 2013). Surveys have established the consistency in results with the present study. The results revealed that adolescents with low and high BMI show varying degrees of stability.

By implication, adolescents with low BMI are stable than teenagers with higher BMI values. This result correlates with previous studies that suggested low self-esteem for higher BMI status. These discoveries were not reflected in the present study’s outcomes, with ethnicity found to have no critical relationship with BMI and emotional wellness in the overweight populace. In any case, in the underweight/solid weight populace, ethnicity was observed to be identified with despondency in a way that reflected earlier studies. Different components could represent these racial and ethnic aberrations, including social perspectives of weight and body sort, SES, and group variables.

Suggestions for Social Work Policy and Practice

As talked about, numerous heftiness intercessions concentrate on the physical and therapeutic results of corpulence. This takes into account the making of precautionary measures, empowering sound way of life, and endeavoring to lessen corpulence predominance. While this concentration is critical, for making a more beneficial populace, and diminishing future requests on restorative administrations, the mental impacts of weight on youths cannot be disregarded. With such an expansive populace affected by high BMI, it will be critical to give psychosocial administrations and assets to improve mental health. The present study highlights the relationship between high BMI and expanded encounters of mental pain and sadness.

This information gives data about emotional wellness components and a superior comprehension of a populace in need. Realizing that the overweight pre-adult populace might need counseling administrations could permit group associations or schools to enforce frameworks and policies that address emotional wellness needs. Examined discoveries demonstrated that, regardless of the positive relationship between BMI and mental pain, overweight young people were not mindful of the benefits of counseling services.

These services reduce the effects of depression and poor mental health on individuals. Although the present study cannot distinguish the anomaly, bridging the gap would be valuable in program improvement. By implication, this study proposes a need to connect with the overweight populace. Demographic variables incorporated into the study suggest practical needs. Females more prone to experience sadness identified with BMI may require more consideration than male young people concerning weight-related misery. The present study did not observe ethnicity to be a hazard for the overweight populace in their encounters of mental misery and despondency. Albeit social competency is essential in any mediation, ethnicity might be more applicable to safeguard measures with Latin American youth encountering larger amounts of corpulence.

Finally, poor mental health and the health of adolescents were connected to expand mental misery and despondency in both underweight/sound weight and overweight tests. This shows self-recognition and self-regard are connected to emotional well-being concerns. Building self-regard, positive self-recognition, and using quality perspective will be critical in counseling overweight populace. Social workers will use this information to improve the general wellbeing of Latin American adolescents. Most caregivers will work with youths, whether in a family setting, community or school environment to improve the quality of life. Having an expanded learning of the physical and mental results of adolescent heftiness will be vital in understanding their experience. This learning will help social specialists in influencing arrangement and additionally in giving both safeguard and direct mediations.

Suggestions for Multicultural Training

This study did not locate a significant relationship between ethnicity and BMI in overweight young people. Notwithstanding, this does not imply that ethnicity neglects to assume a vital part. Specialists have discovered connections between ethnicity, weight, and the connection between ethnicity and the mental reaction to heftiness. Similarly, as with other social work intercessions, those identifying with stoutness ought to be composed of social competency and thought. Ethnicity does not represent every social variable.

Family, people group, SES, and arrangement assume parts in Latino societies. Elements are going from the social goals of excellence to access to quality care, for example, good nourishment, and safe neighborhoods, add to stoutness rates and ensuing youthful results. Thus, such components ought to be considered in forming intercessions. The survey examined the socioeconomic status of Latin American adolescents. The socioeconomic variables include age, sex, ethnicity, age, housing, income, educational attainment, and occupation. Family income and subjective social status are additional components of the SES. These components were evaluated to test the correlation with BMI. Different components of the SES were categorized based on accompanying factors. For example, the participant’s residence was categorized as rural and urban centers.

Proposal for Future Research

The present study tended to the mental impacts of heftiness in puberty, utilizing information from different members at a solitary time point. Nevertheless, longitudinal research would give a more prominent comprehension of the extending impacts of BMI, health, and mental health including the seriousness and span of mental trouble. Such a longitudinal study could look at the different phases between youth and adulthood, demonstrating a superior comprehension of hazard elements and necessities. Consequently, representing extra demographic components would be valuable. The present study did not analyze the underweight populace independently from the sound weight populace. Concentrating on the underweight populace, especially the relationship between BMI and psychological wellness is a potential road for further research.

Consequently, SES is another demographic element to consider. Scientists have analyzed the connection between SES and corpulence; however, fusing this information would help with building an extensive learning of situational variables affecting the overweight populace. Recognizing SES and would help with distinguishing potential bewildering factors in the present study. Thus, it is useful to obtain information from a more extensive populace, looking at weight-related qualities, goals, and practices. Securing wellbeing information from different states would give provide a valid and reliable test.

Thus, the capacity to secure information with a more particular concentrate on psychological wellness could give advance detail and exhaustive comprehension of youthful encounters. The health need of an individual requires adequate and careful management. By implication, various aspects of the human anatomy undergo specific changes based on tissue growth. This thesis highlighted the correlation between mental health and body mass index. Thus, we studied the relationship between body mass index, health, and mental health among Latin American adolescents. Data for the study was collected from a secondary source. The CHIS data for adolescents (2011-2012) was tested using the chi-square statistical analysis to evaluate the study. The research will support various social policy frameworks across Latin America. Consequently, the study has direct implications on nursing practice, adolescent nutrition value, and families.

References

Albrecht, S., & Gordon-Larsen, P. (2013). Ethnic differences in body mass index trajectories from adolescence to adulthood: A focus on Hispanic and Asian subgroups in the United States. Plos ONE, 8(9), 1-8.

Anderson, S. E., Murray, D. M., Johnson, C. C., Elder, J. P., Lytle, L. A., Jobe, J. B., & Stevens, J. (2011). Obesity and depressed mood associations differ by race/ethnicity in adolescent girls. International Journal of Pediatric Obesity, 6(1), 69-78.

Ashmore, J. A., Friedman, K. E., Reichmann, S. K., & Musante, G. J. (2008). Weight-based stigmatization, psychological distress, & binge eating behavior among obese treatment-seeking adults. Eating Behaviors, 9(2), 203-209.

Babey, S. H., Hastert, T. A., Wolstein, J., & Diamant, A. L. (2010). Income disparities in obesity trends among California adolescents. American Journal of Public Health, 100(11), 2149-2155.

Bearman, S., Presnell, K., Martinez, E., & Stice, E. (2006). The skinny on body dissatisfaction: A longitudinal study of adolescent girls and boys. Journal of Youth & Adolescence, 35(2), 217-229.

Dave, D., & Rashad, I. (2009). Overweight status, self-perception, and suicidal behaviors among adolescents. Social Science & Medicine, 68(9), 1685-1691.

California Health Interview Survey. (2012). About CHIS. Web.

Centers for Disease Control and Prevention. (2012). Overweight and obesity. Web.

Claire Wang, Y. Y., Gortmaker, S. L., & Taveras, E. M. (2011). Trends and racial/ethnic disparities in severe obesity among US children and adolescents, 1976-2006.

International Journal of Pediatric Obesity, 6(1), 12-20.

Crossman, A., Sullivan, D., & Benin, M. (2006). The family environment and American adolescents’ risk of obesity as young adults. Social Science & Medicine, 63(9), 2255-2267.

Crow, S., Eisenberg, M. E., Story, M., & Neumark-Sztainer, D. (2008). Are body dissatisfaction, eating disturbance, and body mass index predictors of suicidal behavior in adolescents? A longitudinal study. Journal of Consulting & Clinical Psychology, 76(5), 887-892.

Frisco, M. L., Houle, J. N., & Martin, M. A. (2009). Adolescent weight and depressive symptoms: For whom is weight a burden?. Social Science Quarterly (Wiley- Blackwell), 90(4), 1019-1038.

Gaesser, G. (2003). Is It Necessary to be Thin to be Healthy? Harvard Health Policy Review, 4(2), 40‐46.

Granberg, E. M., Simons, R. L., Gibbons, F. X., & Melby, J. (2008). The relationship between body size and depressed mood. Youth & Society, 39(3), 294-315.

Greenleaf, C., & Weiller, K. (2005). Perceptions of youth obesity among physical educators. Social Psychology of Education, 8(4), 407-423.

Higgins, V. V., & Dale, A. A. (2012). Ethnicity and childhood overweight/obesity in England. Pediatric Obesity, 7(3), 22-26.

Jackson, C. L., Szklo, M., Hsin-Chieh, Y., Nae-Yuh, W., Dray-Spira, R., Thorpe, R., & Brancati, F. L. (2013). Black-White disparities in overweight and obesity trends by educational attainment in the United States, 1997-2008. Journal of Obesity, 20(1), 31-9.

Jeffers, A. J., Cotter, E. W., Snipes, D. J., & Benotsch, E. G. (2013). BMI and depressive symptoms: The role of media pressures. Eating Behaviors, 14(4), 468-471.

Kim, Y., Moon, S., & Kim, M. (2011). Physical and psycho-social predictors of adolescents’ suicide behaviors. Child & Adolescent Social Work Journal, 28(6), 421-438.

Lawler, M., & Nixon, E. (2011). Body dissatisfaction among adolescent boys and girls: the effects of body mass, peer appearance culture and internalization of appearance ideals. J Youth Adolesc., 40(1), 59-71.

Merten, M. J., Wickrama, K. S., & Williams, A. L. (2008). Adolescent obesity and young adult psychosocial outcomes: Gender and racial differences. Journal of Youth & Adolescence, 37(9), 1111-1122.

Mustillo, S. A., Budd, K., & Hendrix, K. (2013). Obesity, labeling, and psychological distress in late-childhood and adolescent Black and White girls: The distal effects of stigma. Social Psychology Quarterly, 76(3), 268-289.

Ogden, C., Carroll, M., Kit, B., & Flegal K. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA, 311(8), 806-14.

Presnell, K., Bearman, S., & Stice, E. (2004). Risk factors for body dissatisfaction in adolescent boys and girls: A prospective study. International Journal of Eating Disorders, 36(4), 389-401.

Puhl, R., & Luedicke, J. (2012). Weight-based victimization among adolescents in the school setting: Emotional reactions and coping behaviors. Journal of Youth & Adolescence, 41(1), 27-40.

Savoy, S., Almeida, L., & Boxer, P. (2012). The relation of weight stigmatization to psychological adjustment: The relation of weight stigmatization to psychological adjustment. Journal of Applied Social Psychology, 42(9), 2285-2308.

Simpkins, S. D., Schaefer, D. R., Price, C. D., & Vest, A. E. (2013). Adolescent friendships, BMI, and physical activity: Untangling selection and influence through longitudinal social network analysis. Journal of Research on Adolescence (Wiley-Blackwell), 23(3), 537-549.

Sivalingam, S. K., Ashraf, J., Vallurupalli, N., Friderici, J., Cook, J., & Rothberg, M. (2011). Ethnic differences in the self-recognition of obesity and obesity related comorbidities: A cross-sectional analysis. Journal of General Internal Medicine, 26(6), 616-620.

Swift, J. A., Hanlon, S. S., El-Redy, L. L., Puhl, R. M., & Glazebrook, C. C. (2013). Weight bias among UK trainee dietitians, doctors, nurses and nutritionists. Journal of Human Nutrition & Dietetics, 26(4), 395-402.

Teachman, B., & Brownell, K. (2001). Implicit anti-fat bias among health professionals: is anyone immune? International Journal of Obesity & Related Metabolic Disorders, 25(10), 1525.

Thulitha Wickrama, K. A., Wickrama, K. S., Bryant, C. M., & Chalandra, M. (2006). Community influence on adolescent obesity: Race/ethnic differences. Journal of Youth & Adolescence, 35(4), 641-651.

Vartanian, L., & Silverstein, K. (2013). Obesity as a status cue: Perceived social status and the stereotypes of obese individuals. Journal of Applied Social Psychology, 43(1), 29- 78.

Vogt, Y. (2010). Body perceptions, weight control behavior, and changes in adolescents’ psychological well-being over time: a longitudinal examination of gender. J Youth Adolesc. 39(8):927-39.

Yue C., Ying, Y., & Yang Mao. (2009).Association between Obesity and Depression in Canadians. Journal of Women’s Health. 18(10): 1687-1692.

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