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  1. Yen ST, Tan AK, Feisul MI
    Asia Pac J Public Health, 2015 Mar;27(2):NP2635-50.
    PMID: 23007483 DOI: 10.1177/1010539512458523
    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.
  2. Tan AK, Dunn RA, Samad MI, Feisul MI
    Asia Pac J Public Health, 2011 Apr;23(2):192-202.
    PMID: 20460299 DOI: 10.1177/1010539509359535
    The purpose of this study was to examine the sociodemographic and health-lifestyle factors that affect the likelihood of obesity among Malaysians. Data were obtained from the Malaysian Non-Communicable Disease Surveillance-1. The cross-sectional population-based survey consisted of 2447 observations, with an obesity prevalence rate of 17.2%. Based on logit regression analysis, the results suggest that obesity risks in Malaysia are affected by gender, education level, family history, health conditions, smoking status, and ethnic backgrounds. Specifically, Malaysians more likely to be obese are females (5.3%), lower educated (0.9%), those with history of family illnesses (4.8%), and nonsmokers (6.4%). However, Chinese (9.3%) and other (5.5%) ethnic groups are less likely to be obese when compared with Malays. Based on these results, several policy implications are discussed vis-à-vis obesity risks in Malaysia.
    Study name: Malaysia Non-Communicable Disease Surveillance-1 (MyNCDS-1) survey
  3. Tan AK, Yen ST, Feisul MI
    Int J Public Health, 2012 Apr;57(2):279-88.
    PMID: 21318327 DOI: 10.1007/s00038-011-0238-8
    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.

  4. Azmi S, Feisul MI, Abdat A, Goh A, Abdul Aziz SH
    Value Health, 2015 Nov;18(7):A600.
    PMID: 26533372 DOI: 10.1016/j.jval.2015.09.2060
    Conference abstract:
    Objectives: The aim of the study was to explore the association of waist circumference with glycaemic control in Malaysian patients with type 2 diabetes.
    Methods: We utilised data of type 2 diabetes patients followed up in Malaysian public sector primary care clinics contained in the National Diabetes Registry in the year 2012. The variable of interest was poor glycaemic control, defined as HbA1c≥ 6.5%. Multiple logistic regression was used to explore the association between glycaemic control and waist circumference, which was adjusted for age, sex, duration of diabetes, systolic blood pressure, total cholesterol, use of insulin and other medications.
    Results: A total of 98,825 patients with type 2 diabetes were included in the study. The mean age of patients was 59.9 years (SD: 10.9) and 38.9% were males. The mean duration of diabetes was 6.8 years (SD: 5.0) and 76.2% of patients had HbA1c ≥ 6.5%. The mean waist circumference was 94.0 cm (SD: 11.8) for male and 90.7 cm (SD: 11.8) for female; while 78.3% of the patients had waist circumference above the cut-off (≥ 90 cm for men and ≥ 80 cm for women). Larger waist circumference was found to be significantly associated with HbA1c≥ 6.5% (adj. OR 1.009; p< 0.001; 95% CI: 1.007–1.011) after adjusting for confounding factors.
    Conclusions: Analysis showed that glycaemic control was poorer in patients with higher waist circumference than in patients with lower waist circumference.
  5. Azmi S, Feisul MI, Abdat A, Goh A, Abdul Aziz SH
    Value Health, 2015 Nov;18(7):A597.
    PMID: 26533354 DOI: 10.1016/j.jval.2015.09.2042
    Conference abstract:
    Objectives: The aim of the study was to explore the association of waist circumference with microvascular complications in Malaysian patients with type 2 diabetes.
    Methods: We utilised data of type 2 diabetes patients followed up in Malaysian public sector primary care clinics contained in the National Diabetes Registry in the year 2012. Variables of interest were the presence of microvascular complications, namely nephropathy and retinopathy. Multiple logistic regression was used to explore the association between presence of microvascular complications and waist circumference, which was adjusted for age, sex, duration of diabetes, systolic blood pressure, insulin use, total cholesterol and HbA1c.
    Results: A total of 114,719 patients with type 2 diabetes were included in the study. The mean age of patients was 59.8 years (SD: 11.2) with mean duration of diabetes of 6.8 years (SD: 5.1). Male
    patients comprised 39.9% of the sample population and 83.5% of the patients were overweight with BMI ≥ 23 kg/m2. Nephropathy and retinopathy was present in 9.1% and 7.9% of patients respectively. The mean waist circumference was 94.1 cm (SD: 11.8) for males and 90.8 cm (SD: 11.8) for females; while 78.4% of the patients had waist circumference above the cut off (≥ 90 cm for men and ≥ 80 cm for women). Larger waist circumference was found to be significantly associated with nephropathy (adj. OR 1.005; p-value< 0.001; 95% CI: 1.003–1.008) after adjusting for confounding factors. However, waist circumference was not significantly associated with retinopathy (adj. OR 0.998; p= 0.209; 95% CI: 0.996–1.001).
    Conclusions: Analysis showed that patients with higher waist circumference were more likely to have nephropathy than patients with lower waist circumference. The analysis also showed that waist circumference was not associated with retinopathy in the study population.
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