Main Organiser

Julius Centre University of Malaya

Co-organiser

Department of Social and Preventive Medicine, Faculty of Medicine, University of Malay

Supported by

University of Malaya

BODY MASS INDEX AND ITS ASSOCIATED FACTOR AMONG MALE PRISON STAFF IN MALAYSIA

Author

Noriah Mahmud, Rohana A. Jalil

Institution

Department of Community Medicine, School of Medical Sciences, Health Campus, University Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.

Abstract

Objectives: The objectives of this study were to determine the body mass index and it’s associated factors among male prison staff in Malaysia. The associated factors were socioeconomic, physical activity level and nutrition knowledge.

Methods: This was a cross sectional study with systematic random sampling, involving 111 respondents. Consented respondents were interviewed face to face using short form International Physical Activity Questionnaire to assess the level of physical activity and Nutrition Knowledge Questionnaire to assess their nutrition knowledge. Anthropometric measurement of weight and height were conducted to determine body mass index.

Results: The mean age of respondents was 41 years old (± 9.0). Their mean BMI was 27.07 ± 3.71 kg/m². Half of study population had BMIs of overweight (51.4%). Only 34 respondents or 30.6% had normal BMI and 18% are obese. Fifty nine respondents (53.2%) had good score of nutrition knowledge and 7 respondents (6.3%) have poor knowledge. Fifty two respondents (46.8%) reported to have high level of physical activity. There were no association of BMI with age, income permonth, food expenses permonth, income percapita, level of education, marital status, household number, physical activity and nutrition knowledge.

Conclusion: The prevalence of overweight and obesity are high among prison staff. However, most of them had high level of physical activity and good nutrition knowledge. The increased in BMI are not related to age, monthly income, number of household, income expenses for food permonth, level of education, marital status, physical activity level and nutrition knowledge.