Obesity and Depression

Introduction

Obesity is an area that has been documented to raise significant concerns both in children and adults. These incidences are growing at a shocking rate with the much identified physical consequences and the less known recognizable medical concerns such as type two diabetes, hypertension, and asthma. What should be determined too are the psychological effects of obesity by research into the chances of obesity’s relationship to depression (Conn, 2010). This study aims to clarify the connection between depression and obesity, by utilizing a depression scale to examine overweight children in elementary grades.

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Research Objectives

Subjects are asked to take part in some activities of a normal usual school day, which may prove to be stressful for those who are already depressed. Extensive study of the medical implications and its possible causes. Identification of any potential contributing factors in understanding the impact of being overweight. To study the degree to which obesity is related to the start of depression.

Research Questions

  • What is the psychological result of being overweight when the possible causes and medical implications have been extensively studied?
  • What are the demographics of the providers; regarding location, experience, gender, and specialty?
  • What practices are in place for screening obesity and overweight children; documentation, consistency, and the personnel conducting the exercise?
  • Whether there are treatment interventions and what treatment protocol and measures are in place when they are identified?
  • What perceptions do the providers have about the prevalence of obesity in their practice, the more concerning age-group, barrier the face in monitoring and managing it?

Significance of Study

Such research provides knowledge into the health care providers, the patients and the society they live in. By empowering the understanding of growth and monitoring practices, many effective methods may be put in place. By effectively monitoring this patient we can identify those who are at poor risk health related to depression (Guerrini, 2000). Healthy people result in a healthy society where the available resources will match their needs. Hence there is the need to research on possible connections between obesity and depression centering on the specific symptoms of depression thus providing possible targets of intervention. Therefor understanding the sequence of development factors that cause this conditions is significant for timing, planning and targeting for prevention practices.

Statement of Problem

The major problem addressed by this study involves the rise in prevalence depression. Rural health care providers know little or nothing about care and treatment practices. This study describes primary providers and their present role for managing and monitoring depression. To summarize the problem; there is a periodical increase in the number of depressed children who are obese or overweight (Faubel, 1989). Early identification of children who are obese or depressed improves health outcomes and may be reliable in monitoring and provider practices. Current data practices provide a place to begin reverse obesity and depression.

Research Methodology

Sample area and population

Quantitatively, the study is employed; random cluster sampling where a particular district is under investigation including the hospitals and children in that area. Qualitatively, purposive sampling is employed; involving twelve samples technique in a specific area of the population.

Tools of Data Collection

Questionnaire form; by getting 80-120 samples, collected in a fortnight in schools with permission from their school heads.

Interviews: using 15-20 minutes for each separate sample interview and record using audio recording tools.

Study Design

To discover the arrangements to monitor and manage obesity and depression and their effectiveness, a descriptive model of the study was used. This is from a wide range of non-experimental studies with the aim of getting the features of an occurring phenomenon, besides being the direct and economical choice.

Data Analysis

Descriptive statistics were utilized to document and describe the results of each research question. Tables using percentages and frequencies were used to explain further this findings and the demographics, perceptions, and data practices of the participants. For every issue, a theme was infused related to the rural theory and a sparse population. Spontaneous answers from participants were used for insight pearls that were not explicitly asked for but were significant for the additional insight they gave to the participant’s experience.

Table 1: Mean Comparison

Conclusion

The purpose of this study was to promote the knowledge of obesity, and its relationship to depression and the measures reverse the current obesity and depression trends. Participants who were found to have an indexed body mass of over 26 were labeled obese with depression symptoms for this study. Those found with a BMI index of 25 and less were marked into obese with minimal or no signs. A variance analysis conducted to compare the means between the two groups on the data showed 44.57 were obese and suffered depression while 46.66 were neither overweight nor suffered depression.

 

References

Guerrini, A. (2000). Obesity and depression in the Enlightenment: The life and times of George Cheyne (Vol. 3). University of Oklahoma Press.

Conn, V. S. (2010). Depressive symptom outcomes of physical activity interventions: meta-analysis findings. Annals of behavioral Medicine39(2), 128-138.

Faubel, M. (1989). Body image and depression in women with early and late onset obesity. The Journal of psychology123(4), 385-395.