Even though most financial abuse is perpetrated by family members, older adults are less likely to perceive a financial situation as abuse when it involves a child of the victim, thus making reporting and prevention less likely. The support for a specialty Elder Abuse Court (EAC) suggests that some reluctance to report is based on misgivings about punishing the perpetrator.
Using a model of resilience, this study compared the direct and indirect associations between resilience resources (sense of mastery, openness to experience, emotion regulation, and social support) and life satisfaction among caregiving subgroups (spouses, adult-children, and parents). Participants were included from the survey of Midlife in the United States (MIDUS II). Estimates of direct and indirect relationships between the resources and life satisfaction were calculated for each subgroup, and differences in the relationships between subgroups were tested. The direct positive relationships between sense of mastery and life satisfaction were significant and stronger for spouses and parents than for adult-children. In contrast, an indirect relationship through social support between the two variables was stronger for adult-children than for spouses. Openness to experience had a direct positive link to life satisfaction among spouses, and emotion regulation was directly related to life satisfaction among parents. We suggested targeted interventions for caregiving subgroups.
These findings demonstrate that older adults showed increased elaboration of emotion, particularly when emotion cues were subtle and provide support for greater emotion differentiation in older adulthood.
Objectives
This study compared the association between social networks and
alcohol consumption among middle-aged (MA) and older adults (OA) to better
understand the nature of the relationship between those two factors among OA
and MA.
Method
We examined Wave 2 of the National Epidemiologic Survey on Alcohol
and Related Conditions. Current drinkers aged over 50 were subdivided into
two age groups: MA (50–64, n = 5214) and OA
(65 and older, n = 3070). Each age group was
stratified into drinking levels (low-risk vs. at-risk) based on alcohol
consumption. The size and diversity of social networks were measured.
Logistic regression models were used to examine age differences in the
association between the social networks (size and diversity) and the
probability of at-risk drinking among two age groups.
Results
A significant association between the social networks diversity and
lower odds of at-risk drinking was found among MA and OA. However, the
relationship between the diversity of social networks and the likelihood of
at-risk drinking was weaker for OA than for MA. The association between
social networks size and at-risk drinking was not significant among MA and
OA.
Conclusion
The current study suggests that the association between social
networks diversity and alcohol use among OA differs from the association
among MA, and few social networks were associated with alcohol use among OA.
In the future, research should consider an in-depth exploration of the
nature of social networks and alcohol consumption by using longitudinal
designs and advanced methods of exploring drinking networks.
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