Objective This study examines distinct types of caregiving experience, each formed by varied combinations of caregiving burden and benefits, and their association with caregiver depressive symptoms and quality of life. Methods: We apply latent profile analysis and multivariable regression to data on 278 caregivers participating in the Caregiving Transitions among Family Caregivers of Elderly Singaporeans (TraCE) study in 2019–2020. Results: We identify four caregiving experience types: (1) balanced (low burden and moderate benefits, 40% of caregivers), (2) satisfied (low burden and high benefits, 33%), (3) intensive (high burden and high benefits, 17%), and (4) dissatisfied (moderate burden and low benefits, 10%). Caregivers with dissatisfied and intensive caregiving experience tend to report higher depressive symptoms and lower quality of life compared to those with satisfied caregiving experience. Discussion: A person-centered approach helps capture the heterogeneity in caregiving experience. Policymakers should develop tailored interventions by caregiving experience types for promoting caregiver well-being.

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<b><i>Objective:</i></b> Network typology studies have identified heterogeneous types of older adults’ social networks. However, little is known about stability and change in social network types over time. We investigate transitions in social network types among older adults, aged 60 years and older, and factors associated with such transitions. <b><i>Methods:</i></b> We used data on 1,305 older adults, participating in 2 waves of a national, longitudinal survey, conducted in 2016–2017 and 2019, in Singapore. Latent transition analysis identified the distinct types of social networks and their transition patterns between the waves. Multinomial logistic regression examined the association of baseline and change in physical, functional, and mental health and baseline sociodemographic characteristics with network transitions into more diverse or less diverse types. <b><i>Results:</i></b> We found 5 social network types at both waves, representing the most to the least diverse types – diverse, unmarried and diverse, extended family, immediate family, and restricted. Between waves, about 57% of respondents retained their social network type, whereas 24% transitioned into more diverse types and 19% into less diverse types. Those who were older and less educated and those with worsening functional and mental health were more likely to transition into less diverse types versus remaining in the same type. <b><i>Discussion:</i></b> The findings capture the dynamics in social network composition among older adults in the contemporary aging society. We highlight sociodemographic and health disparities contributing to later life social network diversity.

Objective Little is known about whether and the extent children’s marital dissolution deteriorates older parents’ mental health. This study examines the association of children’s marital dissolution with parents’ mental health, and whether children’s gender and intergenerational contact and support moderate such an association in South Korea, where family lives are strongly linked under the Confucian collectivistic legacy. Methods We apply fixed effects models on 15,584 parent-child dyads nested in 5,673 older parents (45–97 years in Wave 1) participating in the four waves of the Korean Longitudinal Study of Aging (KLoSA), conducted from 2006 to 2012. Results In South Korea, a son's transition to marital dissolution is associated with higher levels of parents’ depressive symptoms. Frequent parent-son contacts of at least once a week, living with a son, and increasing financial transfers from parents to a son tend to reduce the negative association of the son’s marital dissolution with parents’ depressive symptoms. Discussion The findings imply that a son’s transition to marital dissolution, as a later-life stressor, is detrimental to parents’ mental health in a patrilineal Asian cultural context. The study also highlights the importance of intergenerational bonding in mitigating the negative impact of children’s marital dissolution upwardly transmitted to their older parents.

Objectives This study identified distinct social isolation profiles among caregivers, each formed by varied combinations of social disconnectedness and loneliness, and examined if and how the profiles were associated with caregiver burden. Methods Latent class analysis and multivariable regression were applied to data from 266 caregivers of community-dwelling older Singaporeans with cognitive impairment. Results Two caregiver social isolation profiles were identified: strongly connected, not lonely (86%), and moderately connected, lonely (14%). Moderately connected and lonely caregivers tended to perceive a higher level of burden than strongly connected and not lonely caregivers. Moderately connected and lonely caregivers were also more likely to be burdened by their care recipients’ poor health than their connected and not lonely counterparts. Discussion Caregivers who feel “lonely in a crowd” are vulnerable to caregiving stress and burden. Tailored interventions, such as cognitive behavioral therapy, are needed to reduce the loneliness of moderately connected caregivers.