The socioecological correlates of meal skipping in community-dwelling older adults: a systematic review

Marital status, marital transition and health behaviour and mental health outcomes among middle-aged and older adults in Thailand: A national longitudinal study

OBJECTIVES

The aim of this study was to assess the longitudinal association between marital status, marital transition, mental ill-health, and health risk behaviours among middle-aged and older adults in Thailand.

METHODS

We analyzed prospective cohort data of participants 45 years and older from three consecutive waves in 2015, 2017, and in 2020 (analytic sample, n = 2863) of the Health, Aging and Retirement in Thailand (HART) study. Sociodemographic and health variables were assessed by self-report.

RESULTS

Being single was positively associated with current smoking among men and transitioning to widowed or divorced was associated with incident current smoking among women. Divorced or separated was positively associated with current alcohol use among men and transitioning to marriage was associated with incident alcohol use among women. Being single or widowed was positively associated with underweight and negatively associated with obesity among women. Men who were divorced, single, or widowed had higher odds of having depressive symptoms and among women, transitioning to being widowed or divorced or separated was associated with incident depressive symptoms. Among both men and women, being divorced, single or widowed were positively associated with poor quality of life/happiness, and among men being divorced, single or widowed was positively associated with loneliness, and among women, being single or widowed was positively associated with loneliness. Among men, being single was positively associated with having an emotional or psychiatric disorder.

CONCLUSION

We found among men and/or women that being unmarried was associated with several health risk behaviours and mental-ill health indicators.

Evaluation of health factors on artificial intelligence and the internet of things-based older adults healthcare programmes

Objective

This study evaluates Artificial intelligence and the Internet of Things-based older adults' healthcare programmes (AI·IoT-OAHPs), which offer non-face-to-face and face-to-face health management to older adults for health promotion.

Methods

The study involved 146 participants, adults over 60 who had registered in AI·IoT-OAHPs. This study assessed the health factors as the outcome of pre- and post-health screening and health management through AI·IoT-OAHPs for six months.

Results

Preand post-health screening and management through AI·IoT-OAHPs were evaluated as significant outcomes in 14 health factors. Notably, the benefits of post-cognitive function showed a twofold increase in older female adults through AI·IoT-OAHPs. Adults over 70 showed a fourfold increase in post-walking days, a threefold in post-dietary practice, and a twofold in post-cognitive function in the post-effects compared with pre via AI·IoT-OAHPs.

Conclusions

AI·IoT-OAHPs seem to be an effective program in the realm of face-to-face and non-face-to-face AI·IoT-based older adults' healthcare initiatives in the era of COVID-19. Consequently, the study suggests that AI·IoT-OAHPs contribute to the upgrade in health promotion of older adults. In future studies, the effectiveness of AI·IoT-OAHPs can be evaluated as a continuous project every year in the short term and every two years in the long term.

Correlates of Meal Skipping in Community Dwelling Older Adults: A Cross-Sectional Study

In this cross-sectional analysis of 10,071 community dwelling adults aged ≥70 years, we examined factors associated with meal skipping (self-reported) using multivariable logistic regression. Prevalence of meal skipping in this study was 19.5%. The adjusted odds (aOR [95%CI]) of meal skipping were lower in those 85+ years (vs. 70-74.9 years, 0.56 [0.45-0.70]), and in those in regional areas (vs. urban area, 0.81 [0.72-0.92]). Higher odds of meal skipping were observed for those living alone (vs. living with someone, 1.84 [1.64-2.05]), current smokers (vs. non-smokers, 2.07 [1.54-2.80]), consumers of high amounts of alcohol (vs. abstainers 1.93 [1.35-2.75]), those with poor oral health (vs. excellent oral health, 1.71 [1.07 -2.73]) diabetes (vs. not 1.26 [1.06-1.50]), or frailty (vs. not, 1.63 [1.09-2.43]). This study identified socio-demographic, social, behavioural and biomedical correlates of meal skipping in later life, which may assist in targeting interventions to address meal skipping.