Changes in the health status and health-related quality of life of community-dwelling older adults living alone: one-year follow-up from a cohort study.

Background: The percentage of older adults living alone is rapidly increasing, improving the health status and health-related quality of life (HRQoL) in this group is becoming a more significant public health issue. This study aimed to examine the changes in the HRQoL of older South Korean adults living alone and identify the factors that affect their HRQoL. Methods: A longitudinal study design was followed. Data were collected at baseline and 1-year follow-up. Participants consisting of 789 older adults living alone in S*City aged>65 years completed a cohort survey regarding health status and HRQoL from August 2018 to August 2019. Trained interviewers conducted face-to-face interviews with the participants using a validated questionnaire (physical health, mental health, social health, and HRQoL). Generalized estimating equations were used to assess the change in health status and the interaction effect of time and gender. Then, a stepwise multiple logistic regression analysis was performed to identify factors related to HRQoL. Results: Time differences were observed in the subjective evaluation of health status (SEH), IPAQ scores, frailty, nutritional status, and depression. Gender differences were observed in the SEH, IPAQ, frailty, loneliness, depression, and social support. The interaction between time and gender was observed in the IPAQ and HRQoL. At baseline, SEH, depressive symptoms, gender, frailty, and age were associated with HRQoL. After one year, HRQoL was associated with SEH, frailty, depressive symptoms, cost of living, suicidal thoughts, gender, social support, loneliness, and suicide attempts. Conclusion: Our results highlight that HRQoL is associated with physical health, mental health, and social support. Future detailed studies are needed to determine whether governments and communities can prevent depression, loneliness, and suicidal thoughts through psychological support and provide economic support to improve the quality of life of older adults living alone.

Factors Related to Self-Confidence to Live Alone in Community-Dwelling Older Adults: A Cross-Sectional Study.

BACKGROUND: Many older adults prefer to live alone in their own homes, with age-related issues in physical movement, regardless of their cultural background. Importantly, however, to identify the features of successfully ageing in place (AIP), and foster independent living among these individuals, this study explored their level of self-confidence to live alone and its related factors. METHODS: We conducted a cross-sectional study using secondary data from an earlier study with older adults living alone in South Korea recruited by convenience sampling methods (N = 936, mean age = 77.1 years, 76.1% female). Data regarding the general, health-related, and social characteristics as well as self-confidence to live alone were collected via face-to-face interviews in 2019. Self-confidence to live alone was measured with a numeric rating scale of 0 to 10. RESULTS: The average self-confidence score to live alone was 6.59. A regression analysis showed that mould exposure at home, depression, emergency department visits, and loneliness hinder self-confidence to live alone. Meanwhile, such self-confidence was facilitated by independency in instrumental activities of daily living (IADL), interactions with family members, social service utilisation, and social support. CONCLUSIONS: This study suggests that healthcare providers need to consider the importance of self-confidence to live alone and influencing functional, mental, social, and environmental factors to promote quality of life as well as successful AIP for older adults living alone. Further, self-confidence to live alone could be a new practical index in the field of health and ageing to screen the successful AIP of older adults living alone.

Psychosocial risk profiles among older adults living alone in South Korea: A latent profile analysis.

OBJECTIVES: This study explored the psychosocial risk profiles and various characteristics associated with profile membership among Korean older adults living alone. METHODS: Our analyses were based on a cross-sectional cohort of 1030 community-dwelling older adults (≥ 65 years) living alone in one Korean city. Latent profile analysis was used to identify psychosocial risk profiles across a wide range of psychosocial dimensions (depressive symptoms, suicidal ideation, cognitive dysfunction, loneliness, and perceived social support). We then explored the characteristics associated with distinct profiles by conducting bivariate and regression analyses. RESULTS: The three-profile was selected as the best solution: a group with high cognitive dysfunction, high loneliness, and low social support (profile 1), a group with low psychological risks and high social support (profile 2), and a group with high depression and high suicidal ideation (profile 3). Regression analyses showed that a lower frequency of interaction with neighbors or families, a greater frailty score, and lower quality of life were significantly associated with profile 1 or profile 3 than with profile 2 (p < .05). Further, being male and having a poorer nutritional status was more significantly related to profile 3 than profile 2 (p < .05). CONCLUSIONS: Findings provide evidence for healthcare professionals when developing interventions to prevent and reduce these psychosocial risks for older individuals living alone. In particular, factors associated with profile membership identified in the study may facilitate more tailored interventions.