Introduction
Childhood obesity is a serious public health problem that influences the quality of human life. Many associated comorbidities of this disease attract the attention of many local and global organizations. It is important to not only know how to treat it but improve public awareness and predict its development. Cooperation between medical experts, researchers, and parents is recommended to understand the basics of obesity progress in children today.
During the last several decades, obesity prevalence among children continues to grow in the United States. The number of patients aged between 2-19 years with obesity as their diagnosis has increased from about 9% in the 1980s and 14% in 2000 to 18.5% in 2016 (Moore et al., 2017; Rushing et al., 2020). To help families predict childhood obesity, various predictive measures, including nutritional management, parental involvement, and early assessment, are developed.
PICO Development
Millions of people have already been involved in the investigation of childhood obesity problems. To introduce effective solutions and understand the essence of this disease, the development of a PICOT question is required. As soon as researchers clarify the main aspects of their studies, it will be easy for them to choose the correct direction. In this project, the goal is to combine several preventive interventions and understand if they could help children predict obesity.
- Population: pediatric patients diagnosed with obesity
- Intervention: the combination of several preventive measures like nutritional management, parental involvement, and early assessment
- Comparison: no preventive steps
- Outcome: decrease of childhood obesity by 5%
- Time: one year
In general, the PICOT question sounds as follows: “Among pediatric patients diagnosed with obesity (P), will the combination of preventive measures like nutritional management, parental involvement, and early assessment (I) compared to no preventive steps being taken (C) result in the decrease of childhood obesity by 5% (O) within the next year (T)?”
Research Databases
Today, there are many methods to conduct evidence-based research and choose credible peer-reviewed articles. In this project, four main databases will be taken into consideration:
- Academic Search Complete: It is one of the leading resources recommended for scholarly research. It contains information from multiple journals, books, and reports to help students in developing studies in such fields as Biology, Chemistry, Pharmaceutical studies, and Psychology.
- Business Source Complete: This scholarly business database introduces full-text access to a number of peer-reviewed articles in various disciplines. Being focused on the discussion of business and marketing problems, it also has the information about the role of society, communication, and management of human relations.
- CINAHL Plus: When nurses need to surf the web and find an interesting source, they address this database for help. It includes articles from more than 4000 journals and contributes to nursing and healthcare research.
- MEDLINE: It is a reliable source of information about the history of medicine, recent nursing interventions, biomedical studies, and healthcare applications. The opinions and discoveries of health experts.
References
Gazbare, P., Deshmukh, S., Palekar, T. J., Varghese, N., Abraham, B., Singh, G., & Desai, R. (2020). Assessment of body coordination, strength and agility using bruininks-oseretsky test of motor proficiency (BOT-2) in overweight and obese children aged 7-12 years. Indian Journal of Physiotherapy & Occupational Therapy, 13(1), 185-189.
Kim, J., & Lim, H. (2019). Nutritional management in childhood obesity. Journal of Obesity & Metabolic Syndrome, 28(4), 225-235. Web.
Moore, E. S., Wilkie, W. L., & Desrochers, D. M. (2017). All in the family? Parental roles in the epidemic of childhood obesity. Journal of Consumer Research, 43(5), 824-859. Web.
Rushing, A., Sommer, E. C., Zhao, S., Po’e, E. K., & Barkin, S. L. (2020). Salivary epigenetic biomarkers as predictors of emerging childhood obesity. BMC Medical Genetics, 21(1). Web.