Accelerometer-determined physical activity level among government employees in Penang, Malaysia
Introduction: A cross-sectional study was carried out to investigate accelerometerdetermined physical activity level of 233 Malay government employees (104men, 129 women) working in the Federal Government Building Penang, Malaysia. Methods: Body weight, height, waist and hip circumference, body fat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Nutrition Society of Malaysia
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/13660/ http://nutriweb.org.my/publications/mjn0018_1/mjn18-1-hazizi.php |
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| Summary: | Introduction: A cross-sectional study was carried out to investigate accelerometerdetermined physical activity level of 233 Malay government employees (104men, 129 women) working in the Federal Government Building Penang,
Malaysia. Methods: Body weight, height, waist and hip circumference, body fat percentage and blood pressure were measured for each respondent. All the respondents were asked to wear an accelerometer for 3 days. Body mass index
(BMI) and waist-hip ratio (WHR) were calculated using a standard formulas. Fasting blood sample was obtained to determine the lipid profile and glucose levels of the respondents. Results: Based on the accelerometer-determined
physical activity level, almost 65% of the respondents were categorised as sedentary. Approximately 50.2% of the respondents were overweight or obese. There were negative but significant relationships between body mass index
(BMI) (r=-0.353, p<0.05), body fat percentage (r=-0.394, p<0.05), waist circumference (WC) (r=-0.198, p<0.05) and physical activity level. Sedentary individuals had a higher risk than moderate to active individuals of having a
BMI more than or equal to 25 kg/m2 (OR= 2.80, 95% CI 1.55-5.05), an-risk classified WC (OR= 1.79, 95% CI 1.01-3.20), and a body fat percentage classified as unhealthy(OR= 3.01, 95% CI 1.41-6.44). Conclusion: The results of this study suggest that accelerometer-determined physical activity level is a significant factor associated
with obesity in this study. The high prevalence of physical inactivity and obesity found among respondents of this study indicate a need for implementing intervention programmes among this population. |
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