Research on Aging

This study focuses on the identification of multiple latent trajectories of pain intensity, and it examines how religiousness is related to different classes of pain trajectory. Participants were 720 community-dwelling older adults who were interviewed at four time points over a 3-year period. Overall, intensity of pain decreased over 3 years. Analysis using latent growth mixture modeling (GMM) identified three classes of pain: (1) increasing (n = 47); (2) consistently unchanging (n = 292); and (3) decreasing (n = 381). Higher levels of intrinsic religiousness (IR) at baseline were associated with higher levels of pain at baseline, although it attenuated the slope of pain trajectories in the increasing pain group. Higher service attendance at baseline was associated with a higher probability of being in the decreasing pain group. The increasing pain group and the consistently unchanging group reported more negative physical and mental health outcomes than the decreasing pain group.

Residential proximity is an important indicator of family members’ availability to provide assistance to each other. We investigate proximity-enhancing moves by older parents and their children and the reasons for such moves. Using the 2000–2004 waves of the Health and Retirement Study, we fit multinomial logit models examining 2-year residential transitions for parents and children living 10 or more miles apart at baseline. Our results show that family members collectively adjust intergenerational proximity to facilitate mutual support. Despite the common assumption that older parents move closer to their children to receive assistance, more than two thirds of all proximity-enhancing moves are made by adult children. While greater anticipated longevity raises the probability that older parents will move closer to their children, parents’ anticipated longevity does not influence children’s moving decisions. Including individual variability in anticipated longevity in the life course framework helps account for relocation that precedes declines in health or increases in the need for support.

The advent of online communication is transforming how older adults find social support with a community of peers who cope with similar health issues. This article explores whether participation in virtual health support groups demonstrates a significant interaction with users’ appraisal of their illness experience and predicts self-reappraisal among adults 50 years of age and older (N = 157). Hierarchical multiple regressions demonstrate the significance of the combined effect of virtual health support and its interaction with illness appraisal measures to predict the outcome variable of self-reappraisal. The results indicate that even though appraisal of cancer as a traumatic experience reduces positive self-reappraisal, those who appraised their illness to have been a traumatic experience perceived virtual support to be more influential on their sense of positive change after cancer. In contrast, perceived benefit of virtual support on positive self-appraisal is reduced if illness is appraised as an opportunity for personal growth.

The article aims to identify differences in motivation between working and nonworking older volunteers, in order to contribute to knowledge on the relationship between work status and volunteering in later life. The study also contributes a cross-European view, given that most literature emanates from the United States. It was conducted utilizing a database of 955 working and nonworking older volunteers in three European countries: the Netherlands, Germany, and Italy. Results showed that work status has a significant impact on the motivation to volunteer, suggesting that voluntary organizations need to consider responding to different motivations between older volunteers still in paid employment and those who are retired. Specifically, those in paid work may be more driven by the desire to improve their career or knowledge, whereas older retired volunteers and those employed part time may consider volunteering as a response to challenges associated with retirement and later life or an unsatisfactory working situation.

The main purpose of current research was to investigate the impact of self-rated metacognitive measures and depressive symptoms in predicting psychological well-being in different aged healthy adults. A further goal was to explore the effect of genre and age on metacognition and depression scores. Ninety-six healthy adults were, respectively, assigned to young (i.e., 20–30 years), old (i.e., 65–74 years), very old (i.e., 75–84 years), and oldest old (i.e., >85 years) groups. Participants were administered self-referent social desirability, cognitive efficiency, subjective wellness, and psychological distress questionnaires. It was found that social desirability, depression, cognitive functioning, and metamnestic scores represent the best predictors of well-being. Moreover, a significant main effect of age and genre was found on measures of depression and metamemory. Finally, personal satisfaction, coping strategies, emotional control, and general well-being levels of the very old group did not reach critical cutoff for the Italian octogenarian population.

This study aimed to identify differences in individual, social, and physical environmental factors across the stages of physical activity and explore the effect of those variables on physical activity among older adults. Two hundred and ninety adults aged over 65 years were recruited from the Seodaemun district of Seoul. Standardized scales were used to measure physical activity, stage of change, self-efficacy, decisional balance, social support, and the physical environment. The results indicated that 70.7% of older adults engaged in regular physical activity. Based on the multivariate analysis of variance, only the psychological variables of self-efficacy and perceived benefits and the environmental variables of family support and the physical environment increased significantly across the stages of physical activity change. Based on the regression analysis, the most important predictors of physical activity in a descending order of significance were self-efficacy, perceived benefits, family support, and the physical environment. The total variance in physical activity explained by these variables was 40%.