Prevalence and risk factors of obesity among senior high school

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adolescents were recruited from the five senior high schools in the district using ... obesity among the adolescents in the district and in Ghana as a whole. ..... nutrition education in the curriculum of SHS to ... 1/9789241506236 eng.pdf? au=1.
International Journal of Community Medicine and Public Health Amoh I et al. Int J Community Med Public Health. 2017 Oct;4(10):3762-3769 http://www.ijcmph.com

Original Research Article

pISSN 2394-6032 | eISSN 2394-6040

DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20174247

Prevalence and risk factors of obesity among senior high school students in the Adansi North district of Ghana Isaac Amoh*, Emmanuel Appiah-Brempong Department of Health Promotion and Education, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi- Ghana Received: 01 August 2017 Revisted: 02 September 2017 Accepted: 04 September 2017 *Correspondence: Mr. Isaac Amoh, E-mail: [email protected] Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Background: Obesity is one of today's noticeable yet neglected public health problem with serious health consequences such as hypertension, type 2 diabetes that affect individuals of all ages globally. Adolescents are particularly prone to obesity owing to their reduction in physical activity. This study was to determine the prevalence and risk factors of obesity among Senior High School Students in the Adansi North District of Ghana. Methods: A descriptive cross- sectional survey was conducted among 306 adolescents aged 12- 19 years. The adolescents were recruited from the five senior high schools in the district using stratified random sampling technique. Data was collected by the use of structured questionnaire and anthropometric data sheet to calculate for BMI levels. STATA version 11.1, and Microsoft Excel was used to analyze the data collected. Results: Results from the chi-square test indicated that, there was a significant relationship between leisure activities and obesity such as playing computer games (x2=7.5086, df=9, p 0.05. Source; Author’s field data, 2015.

Relationship between socio economic status (income level of parents) and obesity

Relationship between socio economic status (place of residence) and obesity

A Chi square test of association between socio economic status (income level of parents) and obesity was also statistically significant (x2=8.3187; df=6; p