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@#Depression is a serious mental health illness worldwide. The purpose of the study was to investigate the relationships between depression and its risk factors of sociodemography, lifestyle, and health among the adults of the different ethnic groups in Malaysia.
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OBJECTIVE: To determine the association of suicidal ideation with demographic, lifestyle, and health factors, using data from National Health and Morbidity Survey 2011 (NHMS 2011) of Malaysia. METHODS: The NHMS 2011 included 10,141 respondents. Independent variables of suicidal ideation were income, age, household size, sex, ethnicity, education, marital status, smoking, physical activity, and self-rated health. The risk factors of suicidal ideation were determined using logistic regression analysis. RESULTS: In the pooled sample, suicidal ideation was associated with age, sex, ethnicity, and self-rated health, but not associated with income, household size, education, physical activity, or smoking. CONCLUSION: The likelihood of having suicidal ideation is positively associated with young adults, women, Indians, and those with poor self-rated health.
Assuntos
Nível de Saúde , Estilo de Vida , Fatores Socioeconômicos , Ideação Suicida , Adulto , Estudos Transversais , Feminino , Humanos , Malásia , Masculino , Fatores de Risco , Adulto JovemRESUMO
OBJECTIVES: The rapid rise in the prevalence of physical inactivity-related diseases has become a serious public health issue worldwide. The objective of the present study is to examine the factors affecting participation in physical activity among urban dwellers in Malaysia. STUDY DESIGN: This cross-sectional study measures physical activity using a rigorous regression model. METHODS: Data are obtained from the National Health and Morbidity Survey 2011 (NHMS 2011). A lognormal hurdle model is used to analyse the participation decision and the amount decision of physical activity. RESULTS: The results show that income, gender, ethnicity, marital status and employment status are significantly associated with participation decision and amount decision. However, age, insurance and self-rated health only affect participation decision, whereas family size, education and smoking only affect amount decision. CONCLUSIONS: It can, thus, be concluded that sociodemographic, insurance, lifestyle and health factors play an important role in determining physical activity behaviour among urban dwellers. When formulating policies, special attention must be paid to these factors.