This systematic review synthesizes observational studies on the relationship between ageism and health. We searched 10 electronic databases and included 67 articles. The operationalization of ageism in these studies can be classified into three constructs: age stereotype, self-perceptions of aging, and age discrimination. Most ageism measures were used within a single study, and many lacked information about psychometric properties. Seven health domains—disease, mortality, physical/functional health, mental health, cognitive function, quality of life, and health behavior—have been used as outcomes. Evidence supports a significant association between ageism and health, particularly between self-perceptions of aging and health. Nine studies report moderators, which helps to identify those more vulnerable to negative effects of ageism and inform the development of interventions. The review suggests that the literature has examined limited dimensions of ageism, and that developing valid and reliable instruments for ageism-related concepts is a priority.
This article reports the results of a scoping review of the literature on life-course patterns of violence that span the developmental periods of childhood, adolescence, and early and middle adulthood. We also assess the evidence on elder mistreatment and its relation to earlier forms of violence. Additionally, we draw on theories and empirical studies to help explain the transmission of violence over time and relational contexts and the factors that appear to mitigate risks and promote resilience in individuals exposed to violence. Results suggest that encounters with violence beginning in childhood elevate the risk for violence in subsequent developmental periods. The strongest connections are between child maltreatment (physical abuse, emotional abuse, sexual abuse, and neglect) and violence in adolescence and between violence in adolescence and violence in early and middle adulthood. Persistence of violence into older adulthood leading to elder mistreatment is less well-documented, but probable, based on available research. We conclude that more attention should be paid to studying developmental patterns and intersecting forms of violence that extend into old age. To eradicate violence in all its forms, considerably more must be done to increase awareness of the repetition of violence; to connect research to actionable steps for prevention and intervention across the life course; and to better integrate systems that serve vulnerable children, youth, and adults. Primary prevention is essential to breaking the cycle of violence within families and to alleviating the risks to children caused by poverty and other external factors such as social disconnection within communities.
Background: Previous research has established the influence of acculturation and family cohesion on Chinese Americans’ mental health and health behavior; however, the influence of acculturation and family cohesion on self-rated health among this population has not been examined. The purpose of this study is to examine the association between family cohesion, acculturation, and self-rated health among older Chinese Americans. Method: Data came from structured interviews with 385 Chinese Americans aged 55 and older living in a large metropolitan area in Southwest. We used logistic regression to examine the association between acculturation, family cohesion, and self-rated health. Results: Acculturation was positively associated with self-rated health only among those with medium (odds ratio [OR] = 2.27, p < .05) and high (OR = 1.93, p < .05) family cohesion, but not among those with low family cohesion. Discussion: Findings highlight the significance of involving family members and strengthening family support in the acculturation and supportive services provided to older Chinese Americans.
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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