Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement

Chen, Yu‐Chih; Putnam, Michelle; Lee, Yung Soo; Morrow‐Howell, Nancy

doi:10.1093/geront/gny023

Cited by 40 publications

(37 citation statements)

References 38 publications

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“…Cognitive functioning was assessed by immediate and delayed recalls, in line with recent research using the same dataset (Chen et al, 2019). Respondents were randomly read 10 words and were asked to recall the words immediately and after a delay of about five minutes.…”

Section: Methodsmentioning

confidence: 99%

Self-perceptions of aging and domain-specific health outcomes among midlife and later-life couples

Luo

2020

J Aging Health

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Objectives: This study places the self-perceptions of aging (SPA)-health link in the couple context and examines how changes in one’s own and spouse’s SPA influence multiple health domains and how such associations differ by gender. Methods: Fixed-effects regression models were estimated. Data were drawn from the Health and Retirement Survey ( N = 5972). Results: For both husbands and wives, almost all health domains declined when their own SPA became more negative. The spouse’s SPA were associated with one’s self-rated health, regardless of gender. Gender differences existed in some cross-spousal health effects; while the husband’s SPA were associated with his wife’s depressive symptoms, the wife’s SPA were associated with her husband’s physical disability, functional limitations, and chronic diseases. Discussion: The SPA–health association extends beyond the individual in married persons, demonstrating intertwined health trajectories in older couples. The detrimental effects of ageism might be underestimated if the spillover effects were not considered.

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Section: Methodsmentioning

confidence: 99%

Self-perceptions of aging and domain-specific health outcomes among midlife and later-life couples

Luo

2020

J Aging Health

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“…In terms of data collection duration, Hahn and colleagues and Lee and colleagues took daily details for eight consecutive days of the time used to capture the type of activities and their time-use [ 33 , 38 ]. Some researchers chose to measure time-use on a weekly and monthly basis by asking the number of hours spent in a week and month for an activity [ 36 , 40 ]. Moreover, Olds and colleagues took a 2-day time-use (1 weekday and 1 weekend) [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

“…Depressive symptoms were the most common mental health outcome across all the studies ( n = 5, 45.5%) [ 31 , 36 , 38 , 39 , 40 ]. Examples of instruments used to assess depressive symptoms were the 17-item Hamilton Rating Scale for Depression [ 31 ], Center for Epidemiological Studies Depression Scale [ 36 , 40 ], and Depression, Anxiety, and Stress Scale [ 39 ]. Lee and colleagues measured depression using seven depression items and six items of anhedonia [ 38 ].…”

Section: Resultsmentioning

confidence: 99%

“…Lee and colleagues measured depression using seven depression items and six items of anhedonia [ 38 ]. Three studies (27.3%) included self-rated health as the wellbeing outcome, and all of them measured this variable using a single-item self-rated health scale [ 36 , 37 , 40 ]. Three studies (27.3%) measured life satisfaction as the mental health outcome [ 5 , 34 , 39 ].…”

Section: Resultsmentioning

confidence: 99%

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Time-Use and Mental Health in Older Adults: A Scoping Review

Foong

Lim

Koris

et al. 2021

IJERPH

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Time-use of older adults can be different than in earlier life, especially during the transition from pre- to post-retirement or after experiencing major life events, and the changes could affect their mental health. However, the extent and nature of such research in gerontology have not been examined to date. Therefore, this scoping review sought to map the literature on time-use and mental health in the older population to examine the extent and nature of those research activities. A scoping review was conducted using four databases—PubMed, Scopus, CINAHL, and EMBASE according to PRISMA guidelines. Data were extracted using a pretested tool to develop a descriptive analysis and thematic summary. A total of 11 articles met the eligibility criteria. Seven out of 11 studies involved cross-sectional design, while the remainder were longitudinal studies. The longitudinal studies mainly were secondary data analysis. Time-use data were mainly collected using daily diaries, and the most common mental health outcome included was depression. Only two studies did not evaluate the direct relationship between time-use and mental health. Our review has revealed studies evaluating time-use and mental health in older adults. Limitations of review and recommendations for future studies are discussed.

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“…Such activities can entail going out of the house and moving, and they can provide companions with whom one can do sport. Moreover, such social involvement can promote an overall active lifestyle, ultimately leading to better cognitive performance ( Chen, Putnam, Lee, & Morrow-Howell, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Pathways From Social Activities to Cognitive Functioning: The Role of Physical Activity and Mental Health

Cohn‐Schwartz

2020

Innovation in Aging

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Background and Objectives One of the greatest challenges of old age is the risk of cognitive decline. Engagement in social activities has been identified as a possible protective factor. However, it is not yet clear what are the mechanisms underlying this association. This study aims to elucidate the pathways through which social activities impact cognitive functioning, focusing on physical activity and mental health as possible mediators. Research Design and Methods The study utilized 3 waves of data—the fourth, fifth, and sixth waves of the Survey of Health, Ageing and Retirement in Europe, collected in 2011, 2013, and 2015, respectively. It focused on respondents aged 60 and older. Cognitive functioning was assessed via immediate recall, delayed recall, and fluency. Social activities were measured by volunteering and attending social clubs. Data were analyzed using a structural equation modeling approach. Results The results indicated a significant direct effect of social activities on cognitive functioning. That is, being socially active at baseline was related to better cognitive function 4 years later. The results also indicated the existence of indirect effects. Engaging in social activities was related to better mental health and more physical activities 2 years later, which were related to better subsequent cognitive performance. Discussion and Implications These findings highlight the mediating roles of physical activity and mental health in the effects of social activities on cognitive functioning. Understanding these mechanisms can help optimize social activity interventions to improve cognitive aging.

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Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement

Abstract: The nature of engagement may play a more important role than the activity itself in relation to health. Identifying the heterogeneity in activity engagement in later life is critical for tailoring interventions and designing programs that can improve the health of older adults.

Cited by 40 publications

References 38 publications

Self-perceptions of aging and domain-specific health outcomes among midlife and later-life couples

Self-perceptions of aging and domain-specific health outcomes among midlife and later-life couples

Time-Use and Mental Health in Older Adults: A Scoping Review

Pathways From Social Activities to Cognitive Functioning: The Role of Physical Activity and Mental Health

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