Quality of life of low-income older adults in Hong Kong: a comparison between retirees and non-retirees

community ageing in place, advancing better living for elders (CAPABLE), which is a biobehavioural environmental approach by addressing individual capacities and the home environment, aims to reduce the impact of disability among low-income older adults. this meta-analysis aims to elucidate the efficacy of the CAPABLE program on related outcomes in low-income older adults. a systematic search of MEDLINE/PubMed, CINAHL and EMBASE was conducted for articles published up to August 2022. A systematic review and meta-analysis were performed to calculate the pooled effect sizes of the efficacy of the CAPABLE program on home safety hazards, activities of daily living (ADLs), instrumental ADLs (IADLs), depression, falls efficacy, pain and quality of life. seven studies involving 2,921 low-income older adults (1,117 as the CAPABLE group and 1,804 served as a control) with an average age ranging from 65 to 79 were included in the present meta-analysis. Pre-post effect analyses showed that CAPABLE was significantly associated with lower home safety hazards, ADLs, IADLs, depression, falls efficacy, pain and quality of life. Additionally, there were statistically significant associations between the CAPABLE program with improvements in ADLs, IADLs and quality of life compared with controls. CAPABLE intervention may be a promising strategy to reduce health disparities, and disability limitations, and improve the quality of life in low-income community-dwelling older adults who suffer from disabilities by addressing both the person and the environment.

Digital technology is a social determinant of health that affects older people's ability to engage in health maintenance and disease prevention activities; connect with family and friends; and, more generally, age in place. Unfortunately, disparities in technology adoption and use exist among older adults compared with other age groups and are even greater among low-income older adults. In this study, we described the development and implementation of a digital literacy training program designed with the dual goals of training low-income older adults in the community and teaching students about aging using a community-engaged learning (CEL) approach. The training program was embedded within a 10-week CEL course that paired undergraduates (N=27) with low-income older adults (n=18) for 8 weeks of digital literacy training. Older adults and students met weekly at the local senior center for the training. Students also met in the classroom weekly to learn about aging and how to use design thinking to train their older adult trainees. Both older adults and students completed pre- and posttraining surveys. Older adults demonstrated increased digital literacy skills and confidence in the use of digital technology. Loneliness did not change from pre to postassessment measurements; however, older adults showed improvements in their attitudes toward their own aging and expressed enthusiasm for the training program. Although students' fear of older adults did not change, their comfort in working with older adults increased. Importantly, older adults and students expressed positive feelings about the trainee-trainer relationship that they formed during the training program. A CEL approach that brings together students and low-income older adults in the community has a strong potential to reduce the digital divide experienced by underserved older adults. Additional work is needed to explore the efficacy and scalability of this approach in terms of older adults' digital literacy as well as other potential benefits to both older and younger adults.

The purpose of this study was to identify determinants of low-income older adults’ intention to consume fruits and vegetables (F&V) using the model of goal-directed behavior. A sample of 400 low-income community-dwelling older adults participated in this cross-sectional study. Data were analyzed using Structural Equation Modeling. Results from this study indicated that subjective norm, perceived behavioral control, and positive anticipated emotion were significant predictors of desire. Desire was a significant predictor of intention and past behavior had a significant direct effect on intention. Results of this study can inform future intervention programs aimed to increase F&V intake among low-income older adults.

Preclinical Alzheimer’s disease (AD) behavioral risk reduction needs to be more fully explored at the community-level. Connecting behavior change to AD can reduce individual-level helplessness for the disease. However, behavior change targeting AD prevention factors (e.g., alcohol, depression, physical inactivity, smoking, isolation, medication management) is extremely challenging for multiple reasons, including failures in connecting AD and health behavior risk, and due to individual-level motivational, self-efficacy, and knowledge barriers. Methods: As part of the Virginia Commonwealth University iCubed Health and Wellness in Aging Population Core, 20 diverse older adults (aged 60+) living in Richmond, VA, with incomes below $12,000/year and managing either diabetes/cardiovascular symptoms, were offered weekly telephone-based health coaching for 12-weeks, providing education, motivations, self-efficacy skills, and referral services, for AD behavioral risk factors. A patient preference health coaching behavioral change strategy was implemented, where the person decides which behavioral practices to target. All study subjects completed a behavioral-psychosocial baseline and 3-month follow-up assessment. Findings: The study demonstrated feasibility for implementing health coaching within low-income racially-diverse older adults. The study sample (n=20, mean age 69 years (range: 61-77 years) was 90% African American (n=18), and 55% males (n=11). Improvement in AD knowledge (F=4.19;p=.0565); cognitive functioning (memory (F=4.19;p=.0556); delayed memory (F=2.85;p=.1086); TrailsA (F=5.60;p=.0294)), alcohol-risk (F=3.33;p=.1108) and social isolation (F=4.11;p=.0569) trends were found at 3-month follow-up. Conclusions: The findings from this study exhibit positive trends in reducing AD risk. This study creates the impetus for future large-scale investigations and dissemination of findings to improve the lives of at-risk low-income aging adults.

P21 Determinants of Low-Income Older Adults' Intention to Consume Fruits and Vegetables

As the world's aging population increases, leveraging technology to support aging is proving advantageous. Notably, technology adoption studies among older adults have received increasing scholarly attention, but findings from these studies do not reflect the context of low-income older adults. Studies focusing on low-income older adults were relatively few and it remains unclear which factors influence this group's technology use. This systematic review aims to synthesize findings on factors influencing technology use among low-income older adults to provide directions and opportunities for future research in information systems. Observing the literature through the lens of Social Cognitive Theory, we identified avenues for future research and further integrated the framework with Maslow's hierarchy of needs to elucidate the phenomenon. Findings from this systematic review suggest that both personal and environmental factors, such as cognitions, affects, sociodemographic characteristics, technological and social environment are significant predictors of technology use among low-income older adults. Specifically, factors related to accessibility and affordability, such as income, perceived cost, and accessibility to technology are salient in a resource-limited setting. More importantly, the technology usage behavior elucidate the embeddedness of fundamental human needs which plays a central role underlying technology use among this segment. However, more research is needed to understand the interaction between person, environment and behavior determinant shaping technology use among low-income older adults from diverse economic and cultural setting. This study also sheds light on disciplinary gaps and the lack of investigations anchored on theoretical foundations, and suggests avenues for future research and implications for practice.

This study aimed to identify the factors influencing quality of life (QoL) of low-income older adults (LOAs) with sarcopenia. A convenience sample of 125 older adults was recruited from Jeonbuk Province, South Korea. Data were collected using a self-report questionnaire that included nutritional status, the Depression Anxiety Stress Scale-21, and the World Health Organization Quality of Life Instrument-Older Adults Module. Additionally, grip strength and appendicular skeletal muscle mass, were evaluated, along with the short physical performance battery. Sarcopenia and severe sarcopenia were observed in 43.2% and 56.8% of participants, respectively. Using multiple regression analysis, depression (β = -.40, p < .001), nutritional status (β = .24, p = .003), and anxiety (β = -.15, p = .042) were identified as factors affecting the QoL of the older adults in low-income groups with sarcopenia, the explanatory power of these variables was 44%. The results of this study can be used to develop a nursing intervention program and establish policies to improve depression, anxiety, and nutritional status to enhance QoL of LOAs with sarcopenia.

One in eight people with heart disease has poor medication adherence that, in part, is related to copayment costs. This study tested whether eliminating copayments for high-value medications among low-income older adults at high cardiovascular risk would improve clinical outcomes. This randomized 2×2 factorial trial studied 2 distinct interventions in Alberta, Canada: eliminating copayments for high-value preventive medications and a self-management education and support program (reported separately). The findings for the first intervention, which waived the usual 30% copayment on 15 medication classes commonly used to reduce cardiovascular events, compared with usual copayment, is reported here. The primary outcome was the composite of death, myocardial infarction, stroke, coronary revascularization, and cardiovascular-related hospitalizations over a 3-year follow-up. Rates of the primary outcome and its components were compared using negative binomial regression. Secondary outcomes included quality of life (Euroqol 5-dimension index score), medication adherence, and overall health care costs. A total of 4761 individuals were randomized and followed for a median of 36 months. There was no evidence of statistical interaction (P=0.99) or of a synergistic effect between the 2 interventions in the factorial trial with respect to the primary outcome, which allowed us to evaluate the effect of each intervention separately. The rate of the primary outcome was not reduced by copayment elimination, (521 versus 533 events, incidence rate ratio 0.84 [95% CI, 0.66-1.07], P=0.162). The incidence rate ratio for nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death (0.97 [95% CI, 0.67-1.39]), death (0.94 [95% CI, 0.80 to 1.11]), and cardiovascular-related hospitalizations (0.78 [95% CI, 0.57 to 1.06]) did not differ between groups. No significant between-group changes in quality of life over time were observed (mean difference, 0.012 [95% CI, -0.006 to 0.030], P=0.19). The proportion of participants who were adherent to statins was 0.72 versus 0.69 for the copayment elimination versus usual copayment groups, respectively (mean difference, 0.03 [95% CI, 0.006-0.06], P=0.016). Overall adjusted health care costs did not differ ($3575 [95% CI, -605 to 7168], P=0.098). In low-income adults at high cardiovascular risk, eliminating copayments (average, $35/mo) did not improve clinical outcomes or reduce health care costs, despite a modest improvement in adherence to medications. URL: https://www. gov; Unique identifier: NCT02579655.

Evidence suggests that assets and debt are among the most significant factors affecting older adults’ mental health. This study focuses specifically on South Korea, where the poverty rate of older adults is the highest among all OECD countries. Given that low-income older adults with fewer assets and more debt may be at greater risk for depression, we investigated how assets and debt affected the depression trajectory of low-income older adults in South Korea. We used the six most recent waves of data from the Korean Welfare Panel Study (2014-2019) to estimate the longitudinal effects of assets and debt on depression in low-income older adults. Our sample was restricted to low-income Korean heads of household aged 55 and above (N=2,832). Using latent growth curve modeling, the unconditional model revealed decreasing trends in depression over time, while the conditional model, controlling for sociodemographic variables (i.e., age, gender, education, general health, marital status, employment status, income), suggested that assets and debt had contrasting impacts on depression. Specifically, although it did not impact the depression trajectory, debt did have a positive impact on depression at baseline. Most notably, assets negatively affected both depression at baseline (B=-1.911, SE=0.284, p<.001) and its trajectory (B=-0.235, SE=0.081, p<.01). These findings highlight the importance of holding assets over time as a protective factor against depression and thus the need for interventions such as savings programs and financial education for low-income older adults.

Low income older adults often face financial challenges which increase their risk for earlier disability and mortality. This study explored the social norms, beliefs and practices relevant to handling financial challenges among low-income community-dwelling older adults residing near Baltimore, MD whom we recruited using convenience and snowball sampling. Four vignette-based focus group sessions included 28 participants. Using hierarchical thematic analysis, three key themes emerged. First, the theme “Rob Peter to pay Paul” describes the consensus that individuals must prioritize financial needs, which required individuals to “work with a budget”, apply for aid, “cry for [aid]” and, when needed, “work something out” with landlords and lenders. One participant described the amount of work by saying “We’re retired but we’re working for ourselves.” Secondly, the theme “Your rent should be first” describes how low income older adults prioritize housing over food and other needs because “resources for housing is a problem” and because homelessness is both more permanent and socially stigmatizing than hunger - “Don’t nobody know you’re hungry unless you tell them, but everybody know when you outdoors.” Finally, the theme “We need to put the word out” describes the consensus that public benefits and community resources should be made more visible and accessible. Many individuals only know about resources because they seek information (“you go and you find out”), but “ it’s hard to ask for help. ” These results can inform the development and improvement of financial and community programs and policies for low-income older adults addressing financial challenges.

Introduction: Racial disparities in stroke among older adults have been inconsistently reported, with sparse data for low-income adults. We examined racial disparities in stroke among low-income older adults and potential modification by age and sex. Methods: Participants were self-identified black and white adults in the Southern Community Cohort Study, a cohort of largely low-income adults from the southeastern US. Analyses were restricted to Medicare beneficiaries aged &gt; 65 years and free of stroke at baseline (2002-2009). Covariates were self-reported at baseline with follow-up through 2014 (mean=8 + 3 years). Incident fatal and non-fatal total, ischemic and hemorrhagic strokes were identified by validated algorithms using hospital discharge codes from Medicare linkage (ICD-9: 430-431, 433.x1, 434.x1, 436). Hazard ratios (HR) and 95% confidence intervals (CI) were estimated with Cox models. Results: Among 6,228 participants, 752 total strokes were observed (incidence rate=152 per 10,000 person-years). The mean age was 70 + 4 years, 66% were female and 59% were black. Compared to whites, blacks had a 65% significantly higher age-adjusted risk of total stroke (Table). In multivariable analysis, a &gt;20% racial disparity persisted. Excess risk was largely attributable to a higher prevalence of risk factors (e.g. hypertension, obesity) that may be in the causal pathway. Racial disparities in total stroke were consistent across age groups and sex in minimally adjusted models. In fully adjusted models, racial disparities were significant only among men (HR=1.35, 95% CI:1.01-1.80) and those aged &gt; 75 years (HR=1.52, 95% CI: 1.18-1.96). Conclusions: In this low-income population with a high incidence of stroke, racial disparities in stroke persisted among older adults, even after controlling for established risk factors. More research is needed to examine how stroke prevention interventions can be tailored to meet the needs of low-income older adults.

Medicaid adult dental benefits and oral health of low-income older adults

BackgroundMotoric cognitive risk (MCR) syndrome is characterized by slow gait and memory complaints that could be used to predict an increased risk of dementia. This study aims to determine the MCR syndrome and its risk factors among low-income (B40) older adults in Malaysia.MethodsData from TUA cohort study involving 1366 older adults (aged 60 years and above) categorized as low-income were analysed, for risk of MCR syndrome based on defined criteria. Chi-square analysis and independent t test were employed to examine differences in socioeconomic, demographic, chronic diseases and lifestyle factors between MCR and non-MCR groups. Risk factors of MCR syndrome were determined using hierarchical logistic regression.ResultsA total of 3.4% of participants fulfilled the criteria of MCR syndrome. Majority of them were female (74.5%, p = 0.001), single/widow/widower/divorced (55.3%, p = 0.002), living in rural area (72.3%, p = 0.011), older age (72.74 ± 7.08 year old, p < 0.001) and had lower years of education (3.26 ± 2.91 years, p = 0.001) than non-MCR group. After adjustment for age, gender and years of education, participants living in rural area (Adjusted OR = 2.19, 95% CI = 1.10–4.35, p = 0.026), with obesity (Adjusted OR = 3.82, 95% CI = 1.70–8.57, p = 0.001), diabetes (Adjusted OR = 2.04, 95% CI = 1.01–4.11, p = 0.046), heart disease (Adjusted OR = 2.50, 95% CI = 1.00–6.20, p = 0.049) and cancer (Adjusted OR = 6.57, 95% CI = 1.18–36.65, p = 0.032) were associated with increased risk of MCR syndrome.ConclusionOnly 3.4% of older adults from low-income group were identified as having MCR syndrome. Women, those living in rural areas, had obesity, diabetes, heart disease and cancer were more likely to have MCR syndrome. Further investigation on MCR as a predementia syndrome will help in development of preventive strategies and interventions to reduce the growing burden of dementia, especially among individuals with low socioeconomic status.

A Qualitative Investigation of Older Adults’ Conceptualization of Quality of Life and a Think-Aloud Content Validation of the EQ-5D-5L, SF-12v2, Warwick Edinburgh Mental Well-Being Scale, and Office of National Statistics-4.

Social support can take many forms, such as practical help, time spent socially with others, or the satisfaction with personal relationships. Social support is known to affect quality of life (QoL) in both non-autistic older and autistic young adults. QoL reflects how satisfied an individual is with their life either overall or in a certain area. We know little about middle-aged and older autistic adults' experiences of social support or QoL. In this study, 388 adults aged 40-83 years old, completed online questionnaires asking about background such as age and sex, depression and anxiety symptoms, QoL (physical, psychological, social, environmental, and autism-specific), and different types of social support. Even after taking into account background, depression, and anxiety, social support was important for individuals' QoL. To our knowledge this is the first paper to examine the relationship between social support and QoL in middle-aged and older autistic adults. Improving social support may have a significant impact on the QoL of older autistic adults. Future studies should examine whether age-related changes in social support (size, content, and arrangement of social networks) that are common in non-autistic aging, also occur among older autistic adults.