Obesity and associated health related factors among university staff in Serdang, Malaysia

Obesity is a well-established risk factor for coronary heart disease, ischemic stroke, type 2 diabetes, cancers of the breast, colon, prostate and other organs. Objectives: To determine the prevalence of obesity and associated factors among university staffs. Methods: A cross sectional study was ca...

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Bibliographic Details
Main Authors: Gyanchand Rampal, Lekhraj Rampal, Saeedi, Pouya, Bezenjani, Somayeh Aminzadeh, Md Said, Salmiah, Othman, Norlijah
Format: Article
Language:English
Published: Faculty of Medicine and Health Sciences, Universiti Putra Malaysia 2012
Online Access:http://psasir.upm.edu.my/id/eprint/41196/1/Obesity%20and%20associated%20health%20related%20factors%20among%20university%20staff%20in%20Serdang%2C%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/41196/
http://www.medic.upm.edu.my/dokumen/FKUSK1_MJMHS_2012V08N2_OP01.pdf
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Institution: Universiti Putra Malaysia
Language: English
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Summary:Obesity is a well-established risk factor for coronary heart disease, ischemic stroke, type 2 diabetes, cancers of the breast, colon, prostate and other organs. Objectives: To determine the prevalence of obesity and associated factors among university staffs. Methods: A cross sectional study was carried out among university staffs of University Putra Malaysia using a self-administered validated pre-tested questionnaire. Weight was measured using a digital bathroom scale (TANITA Model HD 319) and height was measured using a SECA Body Meter Model 206. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters (kg/m2). A p value of <0.05 was considered to be statistically significant. Overweight was defined as a body mass index (BMI) of 25 to 29.9 kg/m2 and obesity as a BMI of equal or more than 30 kg/m2. Results: The mean age of the 454 university staffs was 42.86 years. The overall mean BMI was 24.52 ± 4.43 kg/m2, ranged 16.12 to 36.57 (25.69 ± 3.69 kg/m2 for males and 23.31 ± 4.81 kg/m2 for females). The prevalence of overweight and obesity was 31.1% (40.3% males and 21.5% females) and 11.8% (12.1% males and 11.7% females) respectively. After adjusting for all the variables in the logistic regression model, gender, age, occupation, smoking, alcohol intake and physical inactivity were the main predictors of obesity. Conclusions: The prevalence of overweight and obesity is very high among the university staffs. There is a need for a comprehensive integrated non-communicable disease prevention program. There is also a need to establish proactive networks for building up capacity in research and training, mobilizing contributions from within the country and overseas.