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1.
Asia Pac J Public Health ; 27(2): NP2635-50, 2015 Mar.
Article in English | MEDLINE | ID: mdl-23007483

ABSTRACT

This study examines the sociodemographic factors associated with daily fruit and vegetable (FV) consumption in Malaysia. Based on a cross-sectional sample of 2447 individuals from the Malaysia Non-Communicable Disease Surveillance-1, a multivariate sample selection system is developed and estimated, to accommodate high frequencies of daily FV consumption and the days of servings among nondaily consumers. Results indicate that the authors' attempt to account for endogenous sample selectivity and cross-equation correlations is justified. There exist positive correlations between FV consumption likelihoods and longer work hours, higher levels of education, high income, female gender, nonsmoking status, and being from East Malaysia. Among nondaily consumers, those with longer work hours, singles, and people with diabetes are less inclined to eat fruits on more days. Overall, higher-educated, affluent people, nonsmokers, and East Malaysians display more days of FV consumption. Based on these outcomes, several policy implications are recommended vis-à-vis FV consumption patterns in Malaysia.


Subject(s)
Diet/statistics & numerical data , Fruit , Vegetables , Adult , Aged , Cross-Sectional Studies , Female , Health Status , Health Surveys , Humans , Malaysia , Male , Middle Aged , Sex Factors , Socioeconomic Factors
2.
Int J Public Health ; 57(2): 279-88, 2012 Apr.
Article in English | MEDLINE | ID: mdl-21318327

ABSTRACT

OBJECTIVE: To investigate the roles of sociodemographic and health lifestyle factors in affecting body mass index (BMI) across ethnic groups in Malaysia. METHODS: Data are obtained from 2,436 observations from the Malaysia Non-Communicable Disease Surveillance-1. The multi-ethnic sample is segmented into Malay, Chinese, and Indian/other ethnicities. Ordered probit analysis is conducted and marginal effects of sociodemographic and health lifestyle variables on BMI calculated. RESULTS: Malays between 41 and 58 years are more likely to be overweight or obese than their 31-40 years counterparts, while the opposite is true among Chinese. Retirees of Chinese and Indian/other ethnicities are less likely to be obese and more likely to have normal BMI than those between 31 and 40 years. Primary educated Chinese are more likely to be overweight or obese, while tertiary-educated Malays are less likely to suffer from similar weight issues as compared to those with only junior high school education. Affluent Malays and Chinese are more likely to be overweight than their low-middle income cohorts. Family illness history is likely to cause overweightness or obesity, irrespective of ethnicity. Malay cigarette smokers have lower overweight and obesity probabilities than non-cigarette smokers. CONCLUSIONS: There exists a need for flexible policies to address cross-ethnic differences in the sociodemographic and health-lifestyle covariates of BMI.


Subject(s)
Body Mass Index , Ethnicity/statistics & numerical data , Adult , Age Factors , China/ethnology , Educational Status , Female , Health Behavior/ethnology , Humans , Income/statistics & numerical data , India/ethnology , Life Style/ethnology , Malaysia/epidemiology , Male , Middle Aged , Obesity/epidemiology , Obesity/ethnology
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