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1.
Asia Pac J Public Health ; 26(5 Suppl): 27S-35S, 2014 Sep.
Article in English | MEDLINE | ID: mdl-25070696

ABSTRACT

The importance of physical activity to health is well recognized. Good health habits should begin from a young age. This article aims to explore physical activity among Malaysian school adolescents and factors associated with it. Data from the Malaysian School-Based Nutrition Survey (MSNS), comprising a nationally representative sample of school-going children aged 10 to 17 years, were used. The overall prevalence of physically inactive adolescents was 57.3%. Age in years (adjusted odds ratio = 1.2; 95% confidence interval = 1.16-1.23), gender - females (adjusted odds ratio = 2.9; 95% confidence interval = 2.66-3.10), afternoon school session, breakfast consumption (no breakfast and irregular breakfast), body mass index status (obese and underweight), and body weight perception (underweight perceivers) were significant factors associated with physical inactivity among Malaysian adolescents. Thus, there is evidence that programs to promote physical activity in this group should consider the combination of the aforementioned factors at the household, school, and community levels.


Subject(s)
Sedentary Behavior , Students/psychology , Students/statistics & numerical data , Adolescent , Child , Cluster Analysis , Female , Humans , Malaysia , Male , Motor Activity , Nutrition Surveys , Risk Factors , Schools
2.
Asia Pac J Clin Nutr ; 22(3): 408-15, 2013.
Article in English | MEDLINE | ID: mdl-23945411

ABSTRACT

This study is a secondary data analysis from the National Health Morbidity Survey III, a population-based study conducted in 2006. A total of 7,749 children between 7 and 12 years old were recruited into the study. This study seeks to report the prevalence of overweight (including obesity) children in Malaysia using international cut-off point and identify its associated key social determinants. The results show that the overall prevalence of overweight children in Malaysia was 19.9%. The urban residents, males, Chinese, those who are wealthy, have overweight or educated guardians showed higher prevalence of overweight. In multivariable analysis, higher likelihood of being overweight was observed among those with advancing age (OR=1.15), urban residents (OR=1.16, 95% CI: 1.01-1.36), the Chinese (OR=1.45, 95% CI: 1.19-1.77), boys (OR=1.23, 95% CI: 1.08-1.41), and those who came from higher income family. In conclusion, one out of five of 7-12 year-old-children in Malaysia were overweight. Locality of residence, ethnicity, gender, guardian education, and overweight guardian were likely to be the predictors of this alarming issue. Societal and public health efforts are needed in order to reduce the burden of disease associated with obesity.


Subject(s)
Overweight/epidemiology , Analysis of Variance , Child , China/ethnology , Educational Status , Female , Humans , Malaysia/epidemiology , Male , Overweight/ethnology , Schools , Sex Factors , Socioeconomic Factors , Urban Population
3.
Asian Pac J Cancer Prev ; 13(4): 1125-30, 2012.
Article in English | MEDLINE | ID: mdl-22799293

ABSTRACT

OBJECTIVE: The objective of present study is to investigate the determinants of smoking behaviour among adults in Malaysia. METHOD: Findings of the Third National Health and Morbidity Survey (NHMS-3) by the Ministry of Health, Malaysia, were used. The sample consisted of 34,539 observations. A logistic regression model was thus applied to estimate the probability to participate in smoking. RESULTS: Age, income, gender, marital status, ethnicity, employment status, residential area, education, lifestyle and health status were statistically significant in affecting the likelihood of smoking. Specifically, youngsters, low income earners, males, unmarried individuals, Malays, employed individuals, rural residents and primary educated individuals were more likely to smoke. CONCLUSION: In conclusion, socio-demographic, lifestyle and health factors have significant impacts on smoking participation in Malaysia. Based on these empirical findings, several policy implications are suggested.


Subject(s)
Health Behavior , Smoking/epidemiology , Adult , Age Factors , Confidence Intervals , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Diet , Female , Health Status , Health Surveys , Humans , Hypercholesterolemia/epidemiology , Hypertension/epidemiology , Logistic Models , Malaysia/epidemiology , Male , Middle Aged , Motor Activity , Odds Ratio , Risk Factors , Rural Population/statistics & numerical data , Sex Factors , Smoking/ethnology , Socioeconomic Factors , Urban Population/statistics & numerical data
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