Predictors of Depressive Symptoms Based on the Human Capital Model Approach: Findings From the Indonesia Family Life Survey.

Depression is the leading factor of disability and the overall global burden of diseases. The human capital model provides an appropriate conceptual model for managing human health. This study aimed to determine the association between human capital (including social, emotional, physical, financial, and intellectual capital) and depressive symptoms among productive age groups in Indonesia. A cross-sectional study was conducted by analyzing data of 9,858 respondents aged 15-59 years that were obtained from the Indonesia Family Life Survey 5 (IFLS 5). Multivariate logistic regression was used to assess the association between human capital components and depressive symptoms. Among respondents, 23.65% had higher depressive symptoms. Social trust and social networks (part of social capital) were significantly related to depressive symptoms. Self-reported satisfaction (part of emotional capital) were also related to depressive symptoms, as well as self-rated health, sleep quality, a number of chronic disease, body mass index (BMI), and physical functioning (part of physical capital). Log income (part of financial capital) and education level (part of intellectual capital) were related to depressive symptoms after controlling for other variables. Of all the components of human capital, physical capital has the most attributes associated with the risk of depressive symptoms. Therefore, depression prevention programs can be prioritized on attributes related to physical capital.

Differences Risk Factors for Hypertension Among Elderly Woman in Rural and Urban Indonesia.

Introduction: Hypertension is a major risk factor for cardiovascular disease. A high prevalence of hypertension is found in elderly women. Rural areas have different characteristics from urban areas. Therefore, it is necessary to identify risk factors for hypertension in rural and urban elderly women for optimal therapy management. Methods: This cross-sectional study was conducted in rural (Banyuwangi district) and urban (Surabaya city) areas, East Java, Indonesia. The study was carried out in 2015-2016 in women aged ≥45 years, residing in an area for ≥10 years, and willing to collect urine for 24 hours. Respondents consisted of 54 older adults from rural areas and 51 older adults from urban areas who actively participate in the integrated healthcare center for the elderly. The independent t-test and multivariate logistic regression were used to analyze the data. Results: The prevalence of hypertension in the rural area was 27.8% and in the urban area was 37.25%. The risk factors for hypertension in the urban area were urine sodium level (AOR=1.02, 95% CI=1.001-1.04, p-value=0.043), urine potassium level (AOR=0.88, 95% CI=0.78-0.999, p-value=0.022), and Body Mass Index (AOR=1.26, 95% CI=1.06-1.49, p-value=0.008). Meanwhile, the factor associated with hypertension in the rural area was age (AOR=1.08, 95% CI=1.003-1.16, p-value=0.042). Conclusion: The prevalence of hypertension in the urban area was higher than in the rural area. There were differences in risk factors for hypertension that occurred both in rural and urban areas. However, risk factors in both areas are equally important to overcome. Collaboration from multiple stakeholders and sectors is urgently needed, such as the Public Health Center, Integrated Assistance Post for Non-Communicable Diseases, and the local health office.