The COVID-19 pandemic is novel corona virus infection outbreak that has gone global in 2020. Current prevention policies consist of hand hygiene and social distancing. Emergencies overloaded health services and shocked the logistics chains in many countries, especially Italy and China. Having more than a quarter of its population being elderly, Japan is at high risk for COVID-19 induced morbidity and mortality. This situation cancelled schedules of all routine group exercise activities for the seniors in Japan. While the outbreak is ongoing, staying at home is safe. However, successive days of being house-ridden and limited movement can lead to excessive physical inactivity. Some elderly who are not moving much can lose a significant amount of muscle strength, flexibility and aerobic capacity. It can accelerate the frailty and dependency of the seniors, and subsequently, claiming of care and health services. Moreover, existing and new evidences showed that physical activity can promote antiviral immunity. An alternative to usual group exercise activities is crucial to keep seniors active without affecting social distancing. While staying at home for long, functional exercises maintaining basic level of physical activity and movements are urgently required to be introduced to the seniors in Tokyo and around the world to prevent functional decline. Home exercise is a practical option. Therefore, we made a home-version of the functional training exercise video with different sets of 10-minutes exercise for 7 days a week. This breakthrough alternative may sustain health promotion for the elderly persons to preserve their active aging and maintain optimal health.

Background: eHealth literacy is an essential skill for pursuing electronic health information, particularly for older people whose health needs increase with age. South Korea is now at the intersection of a rapidly digitalizing society and an increasingly aged population. eHealth literacy enables older people to maximize the effective use of emerging digital technology for their health and quality of life. Understanding the eHealth literacy of Korean older adults is critical to eliminating the gray digital divide and inequity in health information access. Objective: This study aims to investigate factors influencing eHealth literacy in older Korean adults and its impact on health outcomes and eHealth use. Methods: This was a cross-sectional survey. Community-dwelling older adults 65 years and older in 2 urban cities in South Korea were included. eHealth literacy was measured by the eHealth Literacy Scale. Ordinal logistic regression was used to analyze factors associated with eHealth literacy and multivariate ANOVA for the impact of eHealth literacy on health outcomes and eHealth use. Results: In total, 434 participants were analyzed. A total of 22.3% (97/434) of participants had high eHealth literacy skills. Increasing age, higher monthly income, and time spent on the internet were significantly associated with eHealth literacy (P<.001), and social media users were 3.97 times (adjusted odds ratio 3.97, 95% CI 1.02‐15.43; P=.04) more likely to have higher skill. Higher eHealth literacy was associated with better self-perceived health and frequent use of digital technologies for accessing health and care services (P<.001). Conclusions: Disparity in socioeconomic status and engagement on the internet and social media can result in different levels of eHealth literacy skills, which can have consequential impacts on health outcomes and eHealth use. Tailored eHealth interventions, grounded on the social and digital determinants of eHealth literacy, could facilitate eHealth information access among older adults and foster a digitally inclusive healthy aging community.

Background: Families are the backbone of caregiving for older adults living in communities. This is a tradition common to Thailand and many low- and middle-income countries where formal long-term care services are not so available or accessible. Therefore, population aging demands more and more young people engaging as family caregivers. Informal caregiving can become an unexpected duty for anyone anytime. However, studies measuring the burden of informal caregivers are limited. We aimed to determine the caregiver burden, both from the perspective of the caregivers as well as that of their care recipients. Method: We used the baseline survey data from a cluster randomized controlled trial providing a community integrated intermediary care (CIIC) service for seniors in Chiang Mai, Thailand, TCTR20190412004. Study participants were 867 pairs of older adults and their primary family caregivers. Descriptive analysis explored the characteristics of the caregivers and binary logistic regression identified factors influencing the caregivers’ burden. Results: The mean age of family caregivers was 55.27 ± 13.7 years and 5.5% indicated the need for respite care with Caregiver Burden Inventory (CBI) scores ≥24. The highest burden was noted in the time-dependence burden domain (25.7%). The significant associated factors affecting CBI ≥24 were as follows: caregivers older than 60 years, being female, current smokers, having diabetes, and caring for seniors with probable depression and moderate to severe dependency. Conclusions: A quarter of caregivers can have their careers disturbed because of the time consumed with caregiving. Policies to assist families and interventions, such as respite service, care capacity building, official leave for caregiving, etc., may reduce the burden of families struggling with informal care chores. Furthermore, caregiver burden measurements can be applied as a screening tool to assess long-term care needs, complementing the dependency assessment. Finally, implementation research is required to determine the effectiveness of respite care services for older people in Thailand.

Thailand hosts many workers who have migrated from neighboring countries and is facing a large burden of non-communicable diseases (NCDs). Health screening for migrant workers routinely emphasizes infectious diseases but overlooks NCDs. We surveyed prevalent health behaviors for NCDs and their influencing factors, particularly cultural adaptation patterns among Myanmar migrant workers in Chiang Mai, Northern Thailand. A total of 414 migrant workers consented to participate in the study. Lack of exercise (75.8%), current alcohol consumption (40.8%), current smoking (26.9%), and central obesity (24.3%) were major lifestyle problems. Being female and uneducated was associated with a lack of exercise. Current alcohol consumption was significantly associated with being male and being of Myanmar ethnicity, with an integrative strategy for acculturation, and with a higher income. Male participants and participants with a lower mean score of marginalization were more likely to smoke. Central obesity was associated with being older than 40 years, being female, engaging in an assimilation strategy, and being uneducated. These findings highlight the need for gender inclusive health promotion, the screening of NCD risk behaviors, and timely health education for migrant workers. It may assist authorities to devise strategies to extend health promotion and universal health coverage to the migrant population.

Background: Population aging has been growing worldwide and Thailand has become an aged society with 20% of its population aged 60 and over. Age-related decline in physical and mental health impacts the health-related quality of life (HRQOL) of older adults. Purpose: We aimed to describe the HRQOL of Thai older adults, residing in the community. Methods: This cross-sectional survey was part of a Community-Integrated Intermediary Care project (CIIC), TCTR20190412004. A total of 1509 participants from an intervention arm of a cluster randomized controlled trial were included. A Thai version of the Euro-Qol questionnaire (EQ-5D-5L) was used to determine the HRQOL and associated sociodemographic background, health behaviors and underlying diseases of a representative sample from Maehia, Chiang Mai, Thailand. SPSS version 24 was used to analyze data via descriptive analysis and binary logistic regression. Results: The mean age of the participants was 69.31± 7.10 years, and nearly a quarter (23.8%) was older than 75 years. The mean EQ index score was 0.81± 0.23 and older age, lower educational attainment, unemployment, lack of exercise habits, current smokers, having history of a fall in the last 6 months, diabetes, hyperlipidemia, dependency assessed using Barthel’s Activity of Daily Living (ADL) Index, and depression using the Geriatric Depression Scale (GDS) were more likely to represent HRQOL-related problems. Conclusion: Our findings have highlighted the factors affecting the HRQOL of community-dwelling older adults which could be of importance in preparing for active and healthy aging communities. The routine dependency assessment using the ADL index will be useful in estimating the HRQOL of the aging population. Fall prevention programs are also recommended to reduce dependency. Moreover, the association of having diabetes and hyperlipidemia with problems in HRQOL dimensions highlight the need for public health intervention not only to prevent the increasing burden of non-communicable diseases but also to improve the HRQOL of older adults.

Background: Globally, population aging is happening more quickly than in the past, and Thailand ranks the world’s number three among the rapidly aging countries. Age-related decline in physical and mental health would impact depression among older adults. We aimed to determine the depression among the community-dwelling Thai older adults in Chiang Mai, Thailand. Methods: The baseline data, collected by door-to-door household visits of an intervention arm from a cluster randomized controlled trial (Community-Integrated Intermediary Care (CIIC): TCTR20190412004), were included in this cross-sectional study. Descriptive analysis and binary logistic regression were applied. Results: The mean age was 69.31 ± 7.10 years and 23.8% of study participants were older than 75 years. The Thai geriatric depression scale showed 6.5% had depression. Adjusted risk factors for depression were older age, being single, drinking alcohol daily, having diabetes, having experience of a fall last year, self-rated health as neutral, poor/very poor, and moderate/severe dependency by ADL scoring. Conclusion: Our findings highlighted the potentially modifiable risk factors in addition to the common predictors affecting depression among community-dwelling older adults. Fall prevention programs and public health interventions to prevent diabetes are recommended. Furthermore, self-rated health and Barthel’s ADL scoring would be simple tools to predict risk factors for geriatric depression.