Low objective socioeconomic status (SES) has been correlated with poor physical and mental health among older adults. Some studies suggest that subjective SES is also important for ensuring sound physical and mental health among older adults. However, few studies have been conducted on the impact of both objective and subjective SES on mental health among older adults. This study examines whether objective or subjective SES is associated with depressive symptoms in older adults in Myanmar. This cross-sectional study, conducted between September and December, 2018, used a multistage sampling method to recruit participants from two regions of Myanmar, for face-to-face interviews. The Geriatric Depression Scale (GDS) was used to evaluate the depressive symptoms. Participants were classified as having no depressive symptom (GDS score <5) and having depressive symptoms (GDS score ≥5). Objective and subjective SES were assessed using the wealth index and asking participants a multiple-choice question about their current financial situation, respectively. The relationship between objective/subjective SES and depressive symptoms was examined using a multivariable logistic regression analysis. The mean age of the 1,186 participants aged 60 years and above was 69.7 (SD: 7.3), and 706 (59.5%) were female. Among them, 265 (22.3%) had depressive symptoms. After adjusting for objective SES and other covariates, only low subjective SES was positively associated with depressive symptoms (adjusted odds ratio, AOR: 4.18, 95% confidence interval, CI: 2.98–5.87). This association was stronger among participants in the rural areas (urban areas, AOR: 2.10, 95% CI: 1.08–4.05; rural areas, AOR: 5.65, 95% CI: 3.69–8.64). Subjective SES has a stronger association with depressive symptoms than objective SES, among older adults of the two regions in Myanmar, especially in the rural areas. Interventions for depression in older adults should consider regional differences in the context of subjective SES by reducing socioeconomic disparities among the communities.

Background In the context of an aging population, quality of life (QOL) is an important consideration for the well-being of the elderly. However, there is limited information on the QOL of the elderly in Myanmar. This study aimed to explore the risk factors for low QOL among the elderly in urban and peri-urban areas of the Yangon Region, Myanmar. Methods A community-based, cross-sectional study was conducted among the elderly aged 60 years or older in two urban and two peri-urban townships in the Yangon Region from July to September 2019. A multi-stage sampling method was used to recruit study participants using a pre-tested questionnaire. A total of 616 (305 males and 311 females) elderly people were interviewed using a face-to-face interview technique. Multiple linear regression analysis was performed on the four domains (physical health, psychological health, social relationship, and environment) of QOL measured with the WHOQOL-BREF. Results Income level and having intimate friends influenced the QOL scores of the elderly in all domains, while education level and marital status influenced psychological health, social relationship, and environment domains. Social interaction with neighbors increased the QOL scores for physical health, social relationship, and environment domains. Living in peri-urban areas was associated with lower QOL scores for physical health, psychological health, and environment, while participation in group activities increased QOL scores in these domains. Having comorbidities affected the QOL for psychological health and environment domains, while the frequency of going out affected physical health, and the frequency of religious performance affected social relationship. Conclusion Residential location, education level, marital status, income, comorbidities, social interactions with neighbors and friends, participation in group activities, and frequencies of going out and religious activities should be considered in planning and implementing programs for the elderly in Myanmar. Peri-urban development, strengthening healthcare and social security systems, and encouraging social interaction and participation in group activities play critical roles in improving the QOL for elderly residing in Myanmar.

PurposeMyanmar is rapidly ageing. It is important to understand the current condition of older adults in the country. To obtain such information, we conducted home-visit surveys to collect data for evaluating social determinants of health on older adults in Yangon (representative of an urban) and Bago (representative of a rural) regions of Myanmar.ParticipantsOverall, 1200 individuals aged 60 years or older and who were not bedridden or had severe dementia (defined as an Abbreviated Mental Test score ≤6) were recruited from Yangon and Bago in 2018. A population-proportionate random-sampling method was used for recruitment.Findings to dateOverall, 600 individuals from Yangon (222 men; 378 women) and 600 from Bago (261 men; 339 women) were surveyed. The average age of Yangon-based men and women was 69.4±7.6 and 69.4±7.3 years; in Bago, this was 69.2±7.1 and 70.6±7.5 years, respectively. Compared to their Yangon-based counterparts, Bago-based respondents showed significantly lower socioeconomic status and more commonly reported poor self-rated health (Bago-based men: 32.2%, women: 42.5%; Yangon: 10.8% and 24.1%, respectively). Meanwhile, some Yangon-based respondents rarely met friends (men: 17.1%, women: 27.8%), and Yangon-based respondents scored higher for instrumental activities of daily living and body mass index when compared to their Bago-based counterparts. For both regions, women showed higher physical-function decline (Yangon-based women: 40.7%, men: 17.1%; Bago: 46.3% and 23.8%, respectively) and cognitive-function decline (Yangon: 34.1% and 10.4%, respectively; Bago: 53.4% and 22.2%, respectively). Being homebound was more common in urban areas (urban-based men: 11.3%, rural-based men: 2.3%; urban-based women: 13.0%, rural-based women: 4.7%, respectively).Future plansA follow-up survey is scheduled for 2021. This will afford longitudinal data collection concerning mortality, becoming bedridden, and developing dementia and long-term care-related diseases. This will allow us to calculate long-term care risks for older adults in Myanmar.

The aim of the study was to investigate rural–urban differences in depressive symptoms in terms of the risk factors among older adults of two regions in Myanmar to provide appropriate intervention for depression depending on local characteristics. This cross-sectional study, conducted between September and December, 2018, used a multistage sampling method to recruit participants from the two regions, for face-to-face interviews. Depressive symptoms were assessed using the 15-item version of the Geriatric Depression Scale (GDS). Depressive symptoms were positively associated with living in rural areas (B = 0.42; 95% confidence interval (CI): 0.12,0.72), female (B = 0.55; 95% CI: 0.31,0.79), illness during the preceding year (B = 0.68; 95% CI: 0.45,0.91) and non-Buddhist religion (B = 0.57; 95% CI: 0.001,1.15) and protectively associated with education to middle school level or higher (B = −0.61; 95% CI: −0.94, −0.28) and the frequency of visits to religious facilities (B = −0.20; 95% CI: −0.30, −0.10). In women in urban areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.78; 95% CI: 0.36, 1.20) and protectively associated with education to middle school level or higher (B = −0.67; 95% CI: −1.23, −0.11), middle or high wealth index (B = −0.92; 95% CI: −1.59, −0.25) and the frequency of visits to religious facilities (B = −0.20; 95% CI: −0.38, −0.03). In men in rural areas, illness during the preceding year was positively associated with depressive symptoms (B = 0.87; 95% CI: 0.33, 1.42). In women in rural areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.83; 95% CI: 0.36, 1.30) and protectively associated with primary education (B = −0.62; 95% CI: −1.12, −0.12) and the frequency of visits to religious facilities (B = −0.44; 95% CI: −0.68, −0.21). Religion and wealth could have different levels of association with depression between older adults in the urban and rural areas and men and women. Interventions for depression in older adults should consider regional and gender differences in the roles of religion and wealth in Myanmar.