Censin, J. C., Peters, S. A., Bovijn, J., Ferreira, T., Pulit, S. L., Mägi, R.,… & Lindgren, C. M. (2019). Causal relationships between obesity and the leading causes of death in women and men. PLoS genetics, 15(10), e1008405.
This article thoroughly studies the potential effects of obesity, focusing primarily on cardiometabolic illnesses. The authors employ measures such as body mass index and waist-hip ratio to obtain accurate results when examining the relationship between obesity and the leading causes of mortality. Calculations abound in the text, providing a strong basis for the authors’ conclusions. They also attempt to evaluate the relatively unexplored question of how obesity affects health in men and women.
This article is valuable since it offers reliable details regarding the consequences that obesity could have. The study’s findings emphasize the significance of improved prevention strategies and prompt treatment for obesity-related diseases. Additionally, it raises a concern about health because obesity is directly linked to the genesis of two-thirds of the world’s major causes of mortality from non-communicable illnesses. Therefore, the information from this post could complement the data from other sources and provide a broader perspective on the issue of obesity.
Dąbrowska, J., Wójcik, M., Samek, I., Jańczyk, M., Bator, D., & Milanowska, J. (2020). Obesity and mental health. Journal of Education, Health and Sport, 10(6), 199-205.
This study aims to compile and evaluate both old and new information about obesity and its effects on mental health. The authors used keywords to look for relevant papers in the PubMed database to examine the literature data. The researchers discovered several papers demonstrating the connection between obesity and certain mental health conditions, such as sadness or anxiety. Furthermore, the researchers assert that there is a bidirectional association between depression and obesity, with both conditions raising the risk of the other.
This article will assist with the essay since it offers evidence in favor of one of the aspects of the topic I am writing about, specifically the relationship between obesity and mental problems. The dependences found in that analysis will aid in organizing new treatment approaches to treat a patient and minimize hazards, which justifies the significance of this paper for the study. The potential of treating people with overweight and mental health difficulties in the future can thus be further examined using the information in this article.
Kamel Boulos, M. N., & Koh, K. (2021). Intelligent city lifestyle sensing, big data, geo-analytics, and intelligence for more intelligent public health decision-making in overweight, obesity, and type 2 diabetes prevention: the research we should be doing. International journal of health geographics, 20(1), 1-10.
This article focuses on contemporary approaches to managing type 2 diabetes, obesity, and overweight. It highlights the difficulty of weight problems and the need for a systems thinking strategy based on recent developments in sensors, big data, and associated technologies. According to the author, compiling a thorough list of lifestyle information for the research region and study population is essential for enhancing the health status of any nation.
The research also clarifies risk factors for obesity and its hereditary roots. It is helpful since it suggests a unique strategy for addressing the issue of obesity. The writers go further than common health-related ideas, such as consuming more vegetables and fruits and exercising frequently. They put out the tenable theory that these measurements fall short because various population segments and individuals react differently to identical diets and PA settings. By incorporating these ground-breaking concepts into the work, in addition to the well-known facts about a balanced diet and exercise, this article is beneficial.
Vilarrasa, N., San Jose, P., Rubio, M. A., & Lecube, A. (2021). Obesity in patients with type 1 diabetes: links, risks and management challenges. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14.
This article provides information about type 1 diabetes and obesity in patients. The authors list these individuals’ characteristics, including high insulin needs, insulin resistance, cardiometabolic risks, and a higher chance of chronic problems. There are presently no specific guidelines for such treatment, so the researchers underline the challenges involved in the combined treatment of overweight and type 1 diabetes. The performed study gathered information from the recently published literature and showed a lack of expertise in treating overweight and type 1 diabetes individuals. However, the authors think that with new approaches being developed that seem to be more successful in treating diabetes and anti-obesity, the near future looks bright.
This paper is essential for study since it shows how obesity impacts the human body when another serious health problem is present. It will be possible to evaluate the difficulties in treating type 1 diabetes and obesity together. The work is even more important for study because it explores a topic connected to obesity that has not been sufficiently explored.
Williams, A. S., Ge, B., Petroski, G., Kruse, R. L., McElroy, J. A., & Koopman, R. J. (2018). Socioeconomic status and other factors associated with childhood obesity. The Journal of the American Board of Family Medicine, 31(4), 514-521.
In the US, child obesity is a key public health issue. Only a few models look at how socio-economic status affects child obesity, even though many aspects of child and parental care are connected to this problem. As a result, the authors sought to develop a framework for assessing the impact of socioeconomic determinants on childhood obesity. They evaluated relationships with various socioeconomic variables using logistic regression to estimate obesity in children’s status from known child and parent risk factors.
Smoking, socioeconomic level, birth weight, ethnicity, and skipping family meals were all associated with preschool children being obese when compared to children who were at a healthy weight. While eating supper together as a family lowered the chance of a child being fat by 4%, parental smoking increased the likelihood of a child being overweight by 40%. In addition, compared to their white counterparts, children of Hispanic or black descent were 60% more likely to be obese. This study’s issue is pertinent to this research since it demonstrates how poverty affects childhood obesity. The fact that the researchers conducted a secondary data analysis to compile facts strengthens this piece.