Aging Living at Home: Residential Satisfaction among Active Older Adults Based on the Perceived Home Model

ALTAI Tool for Assessing AI-Based Technologies: Lessons Learned and Recommendations from SHAPES Pilots

Across European countries, the SHAPES Project is piloting AI-based technologies that could improve healthcare delivery for older people over 60 years old. This article aims to present a study developed inside the SHAPES Project to find a theoretical framework focused on AI-assisted technology in healthcare for older people living in the home, to assess the SHAPES AI-based technologies using the ALTAI tool, and to derive ethical recommendations regarding AI-based technologies for ageing and healthcare. The study has highlighted concerns and reservations about AI-based technologies, namely dealing with living at home, mobility, accessibility, data exchange procedures in cross-board cases, interoperability, and security. A list of recommendations is built not only for the healthcare sector, but also for other pilot studies.

Housing Satisfaction Among Older Adults Living in Low-Income Seniors' Housing

Tenant experience surveys are a key tool for social housing landlords to gauge their success in providing high quality housing. This paper examines feedback from a tenant experience survey facilitated in a low-income housing seniors' housing community to: (1) examine their perceptions of their housing across key domains related to tenant satisfaction; and (2) identify opportunities they felt would improve their housing experience. A total of 1,114 households completed the survey. Results showed that tenants generally had high satisfaction with property management, safety and security, communication with staff, access to services, community support, and tenancy management. However, open-ended comments from tenants highlighted specific situations that negatively impacted their housing, including maintenance issues, safety concerns, and limited access to health and social programs. Findings point to several suggestions for social housing providers to enhance their services to foster inclusive, supportive, and safe housing environments for low-income older adults.

Aging in Place: Connections, Relationships, Social Participation and Social Support in the Face of Crisis Situations

OBJECTIVES

We seek to identify active coping strategies used by older adults to face the pandemic and to deal with daily stressors, and to clarify which factors had an effect on stress, positive emotions and depression in active and healthy community-dwelling older adults in the first and second year of the pandemic in Costa Rica.

METHODS

Participants were living in their own homes in Costa Rica (n = 218, mean age 69.96, 82.1% women). Participants were interviewed by phone and answered an online survey, which included socio-demographic information, mental health variables such as stressors (perceived health and fear of COVID-19, illness, perception of pandemic gravity), loneliness (whether they felt lonely and how often they felt lonely), access to Information and Communication Technologies, socio-emotional coping variables, social participation and physical activity level during the pandemic.

RESULTS

Positive socio-emotional indicators related to well-being such as self-efficacy, social support, perceived health and proactive behavior were high. Negative well-being indicators such as perceived stress, emotional COVID-19 fear and loneliness showed low values in the sample studied during both years. We found significant relations across the dependent variables (perceived stress, positive emotions and depression) by studying the psychological well-being coping strategies.

CONCLUSIONS

Findings highlight the importance of coping strategies and social participation in the capacity of older adults to mitigate the negative psychological consequences of crisis situations and provide evidence of "aging in place".

Factors Related to Life Satisfaction of Older Adults at Home: A Focus on Residential Conditions

This study examined which residential conditions increase older adults’ life satisfaction at home. We used data from 8903 participants over 65 years old who did not need help in their daily lives from a 2020 survey of older adults conducted by the Korea Institute for Health and Social Affairs. Data analysis was conducted using descriptive statistics, independent sample t-test, Pearson correlation analysis, and hierarchical multiple regression with weights. The final model explained 34.2% of life satisfaction in old age. Residential conditions that increased life satisfaction the most in old age were the community environment (β = 0.16, p < 0.001) and satisfaction with the house (β = 0.15, p < 0.001). Other conditions that significantly affected life satisfaction were safety (β = 0.08, p < 0.001), interaction with neighbors (β = 0.08, p < 0.001), distance from children or relatives (β = 0.08, p < 0.001), frequency and route of public transportation (β = 0.05, p < 0.001), and abundance and distance of green spaces (β = 0.02, p = 0.031). Housing welfare policies should consider these results to increase life satisfaction for an increasingly aging population. Moreover, these data can be used to design age-friendly community environments.

Health, Functional Ability, and Environmental Quality as Predictors of Life Satisfaction in Physically Active Older Adults

The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).