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This study aims to examine the association of assets with life satisfaction patterns among Korean older adults aged 50 and above. This study used the first two panel data sets (2005 and 2007) from the Korean Retirement and Income Study, which collected information from a nationally representative sample. Key independent variables include financial assets, real assets, and debts. This study classifies overall patterns of life satisfaction using seven multi-dimensional items via Latent Class Analysis. Multinomial regression models were used to determine factors related to estimated life satisfaction patterns after the data were adjusted by weighting and multiple imputation. This study found three classes of life satisfaction at both waves: low, moderate, and high. During the 2-year study period, significant portions of older adults moved upward (23%) and downward (22%) in their life satisfaction patterns. Consistent with the asset effect theory, this study found that assets and debts are significantly associated with life satisfaction patterns and longitudinal changes in these patterns. The study findings suggest that older adults' life satisfaction can be maintained or promoted through economic security. Financial planning programs combined with asset accumulation may help older adults to achieve economic security and associated life satisfaction.

Purpose: The article seeks to identify patterns of service utilization among informal caregivers of frail older adults. In particular, the study examined determinants that explain heterogeneous variations in caregivers' service use patterns. Methods: Using a latent class analysis (LCA) on the 2004 National Long-Term Care Survey and Informal Caregiver data (n = 1,908), this study classifies overall patterns of caregiver service utilization: financial information, support group, respite service, day care or senior center, personal or nursing care, housework, meal delivery, transportation, house modification, and assistive devices. With an emphasis on caregivers' service use patterns and social network derived from the Network Episode Model, the modified Andersen model guides determinants of these patterns. Results: The LCA classified a hierarchical structure of service use patterns: multiple service users, selective in-home service users, and light service users. Caregivers' network compositions signified heterogeneity in service use patterns. Care recipient- and caregiver-related needs contributed to distinguishing service use patterns. Implications: Differentiation of services may be important for meeting caregivers' needs and distributing program resources by identifying target populations for intervention. This typology process may tailor specific interventions to better support caregivers.

Purpose: This study examines the structural relationships between social activities and trajectories of late-life depression. Design and Methods: Latent class analysis was used with a nationally representative sample of older adults (N = 5,294) from the Longitudinal Study on Aging II to classify patterns of social activities. A latent growth curve model captured longitudinal changes in depression and tested the impact of social activities while controlling for residential relocation, health status, insurance, and sociodemographics. Results: We found 3 different patterns of participation across 8 social activities. Specific activities of volunteering and exercise, self-perception of social activity level as "enough," and a higher participation level pattern were associated with lower initial status and longitudinal changes in depression. Implications: Assessing involvement in multiple social activities is important when using social activities to prevent and treat depression. Future work with improved measures can further clarify how specific activities may reduce risk for depression.

Purpose: The purpose of this study was to document the benefits of volunteering perceived by older adults and to explain variation in these self-perceived benefits. Design and Methods: This is a quantitative study of 13 volunteer programs and 401 older adults serving in those programs. Program directors completed telephone interviews, and older volunteers completed mailed surveys. Volunteer-level and program-level data were merged. Results: Older volunteers reported a wide variety of benefits to the people they served, themselves, their families, and communities. More than 30% reported that they were "a great deal better off" because of volunteering, and almost 60% identified a benefit to their families. When considering only individual characteristics, lower-income and lower-educated volunteers reported more benefit. Yet, aspects of the volunteer experience, like amount of involvement, adequacy of training and ongoing support, and stipends, were more important in understanding who benefits from volunteering. Implications: These findings suggest that characteristics of volunteer programs can be strengthened to maximize the benefits of volunteering to older adults. These characteristics are more mutable by public policies and organizational procedures than individual characteristics. Focusing on the recruitment of lower socioeconomic status older adults may result in an increase in benefits from the growth of volunteering.

This article aims to examine factors associated with falls in older adults residing in apartments designed with age-friendly features in Singapore. A cross-sectional study was conducted with 925 older adults aged 55 years and older, residing in studio apartments in Singapore. Multivariable backward logistic regression and independent factors associated with falls include older age, cataracts, urinary-tract disorders, general weakness, participation in family gatherings, and functional difficulty in dressing. Interaction effects were found for gender and walking long distances. Environmental factors were not independent factors for falls, although they were associated on bivariate analysis. Findings have implications on the importance of age-friendly design setting on fall prevention. Fall prevention efforts should be multidimensional and target modifiable risk factors for falls. [ABSTRACT FROM AUTHOR]

This study explores the possibility of implementing a saving program for military soldiers in Korea. Over the past decade, asset-based programs have been expanded in Korea. Using a vignette method describing a military matched savings program and logistic regression, this study examines soldiers' attitudes toward a matched savings program. This study with a final sample of 224 soldiers in a Brigade in Korea found that 67% of survey participants are willing to join a savings program. In addition, most soldiers expect the program to have a positive impact on their military life, saving habits, and life after army service. A logistic regression analysis found that family relationship, duty type, rank, and age are significantly related to a soldier's willingness to join the program. The study provides policy and practice implications in that a military savings program may help soldiers to adapt to army service and prepare for life after army service. This study concludes with possibilities for future research when examining soldiers' attitudes toward a military savings program. [ABSTRACT FROM PUBLISHER]

By combining stakeholder theory and activity theory, this study examines the dynamic relationships among wealth, volunteering, and self-esteem of older adults. This study uses latent growth curve modeling (LGCM) to capture the longitudinal patterns of self-esteem across four waves of data from the Americans’ Changing Lives (ACL) Study. As time-varying variables, the longitudinal trajectories of volunteering hours and self-esteem are analyzed. As time-invariant independent variables, the authors consider two types of wealth measurements: homeownership and the amount of total liquid assets at Wave 1. The authors find that the intercept of volunteering hours is positively associated with the intercept of self-esteem. This study also finds that volunteering hours partially mediates the relationship between wealth and self-esteem. This study sheds lights on dynamic mechanisms of wealth, volunteering, and self-esteem among older adults. [ABSTRACT FROM PUBLISHER]

Purpose: To explore changes in daily activities associated with high-intensity volunteering, this study assessed activities in a sample of 180 new Experience Corps (EC) volunteers serving low reading students in urban schools.Methods: Level of activity in 15 areas (visiting friends, reading, watching TV, etc.) was obtained at the beginning of this high-commitment volunteer experience and after 9 months of service. Latent class analyses were used to identify activity patterns, and regression analyses were used to identify factors associated with changes in activities.Results: At pre-test, 37% were classified in the low-activity group and were more likely to be first time volunteers, older, non-White, and have less education. At post-test, only 17% were classified as low activity. An increase in activity was more likely to occur for those who were low activity before joining the volunteer program.Implications: These findings demonstrate that increase in activity does occur for less active older adults who join a volunteer program. [ABSTRACT FROM PUBLISHER]

Research on activities overlooks the possibility that older adults engage in different activities contemporaneously. To address this gap, we used latent class analyses to identify activity patterns and then examined demographic and health correlates of these patterns among a nationally representative sample of older adults in Singapore. We identified four classes of activities: the family-focused instrumental activity (FIA) class, the social leisure activity (SLA) class, the multidynamic activity (MDA) class, and the passive activity (PA) class. Furthermore, the MDA members showed higher scores in their mental health. Worse physical functioning and higher depression scores also increased the likelihood of being in the FIA and PA groups. Significant demographics such as gender, ethnicity, marital status, education, employment, house type, and income were related to heterogeneity in older adults' activity patterns. Service providers might consider the impact of certain significant demographic and health-related correlates when planning programs to ensure greater reach and access.