Joint trajectories of physical frailty and social frailty and associations with adverse outcomes: A prospective cohort study

BACKGROUND

We examined joint trajectories of physical frailty and social frailty as well as their associations with adverse outcomes.

METHODS

We conducted a prospective cohort study by using five waves of national data from China Health and Retirement Longitudinal Study (CHARLS 2011-2020), involving 4531 participants aged ≥60 years. We identified 4-year trajectories at three examinations from 2011 to 2015 using parallel process latent class growth analysis. Adverse outcomes were obtained from 2015 to 2020 across two subsequent waves. We calculated hazard ratios (HR) using Cox proportional hazard models. We also conducted analyses by gender.

RESULTS

Three joint trajectories were identified, including persistent absence of physical and social frailty (58.5 %), no physical frailty but social frailty (28.1 %), and persistent combination of physical and social frailty (13.4 %). Compared with persistent absence of physical and social frailty, no physical frailty but social frailty and persistent combination of physical and social frailty were associated with higher risk of instrumental activities of daily living (IADL) disability (HR = 1.182-2.020, 95 % CI: 1.014-2.416) and all-cause mortality (HR = 1.440-2.486, 95 % CI: 1.211-3.009). The persistent combination of physical and social frailty was also associated with ADL disability (HR = 2.412, 95 % CI: 1.999-2.911) and falls (HR = 1.410, 95 % CI: 1.196-1.662). Gender differences were observed in relationships between joint trajectories and adverse outcomes.

CONCLUSION

Community-dwelling older adults exhibit distinct joint trajectories and those with persistent combination of physical and social frailty experience greatest risk of incident adverse outcomes. Clinical and public health measures targeting physical or social frailty should account for both and be gender-specific.

Joint trajectories of loneliness, social isolation and sarcopenia and associations with adverse outcomes: A prospective cohort study

This study aimed to examine joint trajectories of loneliness, social isolation and sarcopenia and their associations with adverse outcomes. A total of 4701 participants aged ≥60 years who had a baseline and at least one follow-up assessment of loneliness, social isolation and sarcopenia across 2011, 2013 and 2015 waves in China Health and Retirement Longitudinal Study. Adverse outcomes were obtained in 2018 wave. Joint trajectories were fit using the parallel process latent class growth analysis, and their associations with adverse outcomes were evaluated using modified Poisson regression. Joint trajectory patterns for social relationship and sarcopenia did not vary by the assessment for sarcopenia, but did vary by the assessment for social relationship. Older adults exhibit distinct joint trajectories and those with persistent combination of loneliness or social isolation and sarcopenia experience greatest risk of adverse outcomes. These findings implicate integration of health care and social care for community-dwelling older adults.

Trajectories of Screen Time across Adolescence and Their Associations with Adulthood Mental Health and Behavioral Outcomes

Excessive screen time among adolescents is discussed as a significant public health concern. Identifying adolescent longitudinal patterns of time spent on regularly-used media screens and understanding their young adulthood mental health and behavioral issue correlates may help inform strategies for improving these outcomes. This study aimed to characterize joint developmental patterns of time spent on videogames, surfing/chatting the Internet, and TV/DVDs during adolescence (at ages 11, 13, 15, 17) and their associations with mental health (i.e., depression, anxiety, suicidal ideation, and self-injury) and behavioral issues (i.e., substance use, delinquency, aggression) in early adulthood (at age 20). A parallel-process latent class growth analysis was used to model data from a diverse community-ascertained sample of youth in Zurich, Switzerland (n = 1521; 51.7% males). Results suggested that a five-class model best fitted the data: (1) low-screen use, 37.6%; (2) increasing chatting/surfing, 24.0%; (3) moderate-screen use, 18.6%; (4) early-adolescence screen use, 9.9%; and (5) increasing videogame and chatting/surfing, 9.9%. After adjusting for baseline levels of outcomes (primarily at age 11), the trajectory groups differed in their associations with adulthood outcomes of mental health and behavioral problems, indicating the importance of problematic screen usage patterns in predicting these outcomes. Future research to test the directionality of these associations will be important. These findings suggest which patterns of screen use may be a marker for later mental health and behavioral issues in different domains.