METHODS: This cross-sectional study was conducted in 2015 among 8809 undergraduate university students from 13 universities in Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Vietnam using self-administered questionnaire. Multivariate logistic regression analyses were conducted to explore the associated factors.
RESULTS: More than half (62.3%) of the study sample were female with a mean age of 20.5 (SD = 2.0) years. Of total, 12.8% were infrequent (health status, lower level of life satisfaction, tobacco and illicit drug use, depressive symptoms and high level physical activity. Among females, higher prevalence of binge drinking remained significantly associated with being in the older age groups, poorer family background, living in an upper-middle- or high-income country, lower level of non-organized religious activity, lack of knowledge on alcohol-heart disease relationship, lack of knowledge on alcohol-high blood pressure relationship, weak beliefs in the importance of limiting alcohol use, lower level of life satisfaction, use of other substances such as tobacco and illicit drug, depressive symptoms and high level of physical activity.
CONCLUSIONS: Findings from this study indicate a need for devising or refining university health promotion programs that integrate binge drinking, other substance use, co-occurring addictive behaviors and health beliefs in the respective countries.
Subjects and Methods: In an analytical cross-sectional design, we used simple random sampling technique to select 242 multiracial Malaysian male fishermen aged between 18 and 75 years from five fishing villages located at Gurney Drive, Tanjong Tokong, Tanjong Bungah, Batu Ferringhi, and Teluk Bahang to participate in this study. During four consecutive weekends in January 2017, we conducted face-to-face interviews with participants using a pre-validated, interviewer-administered WHO oral health questionnaire. We categorized participants as having "good" or "poor" oral health based on a mean cutoff score of 14. Multivariate regression models were fitted to assess the oral health status and associated lifestyle factors among the study population, using SPSS version 22.
Results: We achieved a response rate of 97.6%. Overall, the prevalence of poor oral health in this study was 47.5%. "Income" (RM/month), "type of fishing," "additional occupation," "age" (years), "frequency of pies, buns consumed," and "frequency of sweets, soft drinks consumed" were significant predictors of oral health status among the fishermen.
Conclusion: Poor oral health is relatively highly prevalent among the fishermen in our study. The oral health status of fishermen in Teluk Bahang was consistent with the national average and significantly associated with their sociodemographic and lifestyle factors. Targeted interventions are required to arrest and reverse this trend.
METHODS: A total of 497 patients with type 2 diabetes mellitus were recruited from public hospitals in the state of Selangor through convenience sampling. Construct validity was evaluated through confirmatory factor analysis. Internal consistency of the instrument was tested by Cronbach α. Criterion validity and discriminant validity were also used.
RESULTS: The PAID instrument consisted of 3 factors: social support problem, food-related problem, and emotional distress problem. The Cronbach α values of the 3 factors showed adequate internal consistency with α values greater than 0.90. The present confirmatory factor analysis model achieved a good fit with a comparative fit index value of 0.923. Satisfactory criterion validity was also demonstrated because there existed positive significant association between glycated hemoglobin A1c and diabetes duration.
CONCLUSIONS: The PAID questionnaire in Malaysia was found to be a reliable and valid instrument exhibiting good psychometric properties.
STUDY DESIGN: Individual data on SRH and important covariates were obtained for 424,791 European and United States residents, ≥60 years at recruitment (1982-2008), in eight prospective studies in the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES). In each study, adjusted mortality ratios (hazard ratios, HRs) in relation to SRH were calculated and subsequently combined with random-effect meta-analyses.
MAIN OUTCOME MEASURES: All-cause, cardiovascular and cancer mortality.
RESULTS: Within the median 12.5 years of follow-up, 93,014 (22%) deaths occurred. SRH "fair" or "poor" vs. "at-least-good" was associated with increased mortality: HRs 1.46 (95% CI 1·23-1.74) and 2.31 (1.79-2.99), respectively. These associations were evident: for cardiovascular and, to a lesser extent, cancer mortality, and within-study, within-subgroup analyses. Accounting for lifestyle, sociodemographic, somatometric factors and, subsequently, for medical history explained only a modest amount of the unadjusted associations. Factors favourably associated with SRH were: sex (males), age (younger-old), education (high), marital status (married/cohabiting), physical activity (active), body mass index (non-obese), alcohol consumption (low to moderate) and previous morbidity (absence).
CONCLUSION: SRH provides a quick and simple tool for assessing health and identifying groups of elders at risk of early mortality that may be useful also in clinical settings. Modifying determinants of favourably rating health, e.g. by increasing physical activity and/or by eliminating obesity, may be important for older adults to "feel healthy" and "be healthy".
DESIGN: Cross-sectional. Setting, participants, and outcome measures: We used data from the National Health and Morbidity Survey 2018, a nationwide community-based study. This study was conducted using a two-stage stratified cluster sampling design. Older persons were defined as persons aged 60 years and above. SRH was assessed using the question "How do you rate your general health?" and the answers were "very good", "good", "moderate", "not good", and "very bad". SRH was then grouped into two categories; "Good" (very good and good) and "Poor" (moderate, not good, and very bad). Descriptive and logistic regression analyses were conducted using SPSS version 25.0.
RESULTS: The prevalence of poor SRH among older persons was 32.6%. Poor SRH was significantly related to physical inactivity, depression, and limitations in activities of daily living (ADLs). Multiple logistic regression revealed that poor SRH was positively associated with those who had depression (aOR 2.92, 95% CI:2.01,4.24), limitations in ADLs (aOR 1.82, 95% CI: 1.31, 2.54), low individual income (aOR 1.66, 95% CI:1.22, 2.26), physical inactivity (aOR 1.40, 95% CI:1.08, 1.82), and hypertension (aOR 1.23, 95% CI:1.02, 1.49).
CONCLUSIONS: Older persons with depression, limitations in ADLs, low income, physical inactivity, and hypertension were significantly associated with poor SRH. These findings provide information to aid health personnel and policymakers in the development and implementation of health promotion and disease prevention programs, as well as adequate evidence in planning different levels of care for the older population.