Intergenerational Solidarity and Mental Health in Chinese American Families: A Dyadic Approach

亲密度 心理健康 团结 孤独 心理学 发展心理学 心理干预 焦虑 社会支持 联想(心理学) 临床心理学 社会心理学 精神科 政治学 政治 数学分析 法学 数学 心理治疗师
作者
Mengting Li,Qun Le,Man Guo,Changmin Peng,Fengyan Tang,Wendi Da,Yanping Jiang
出处
期刊:The Journals of Gerontology: Series B [Oxford University Press]
卷期号:80 (7) 被引量:3
标识
DOI:10.1093/geronb/gbaf079
摘要

Abstract Objectives Existing family and caregiving studies have primarily focused on the mental health of either older adults or adult children. Less is known about the effect of intergenerational relations on the mental health of both generations. This study examined the association between intergenerational solidarity and mental health among older Chinese Americans and their adult children using a dyadic analysis, considering the gendered nature of these relationships. Methods This study included 214 father–child and 339 mother–child dyads. Intergenerational solidarity (emotional closeness, contact frequency, upward emotional support, upward financial support) and mental health (anxiety, depression, loneliness) were assessed in both generations. Actor–Partner Interdependence Models were used. Results Greater emotional closeness with their adult children reported by mothers was associated with better mental health in mothers, whereas children’s reported emotional closeness with fathers, but not with mothers, was associated with better mental health in children. Daily contact reported by fathers and adult children showed a positive association with their respective mental health. Higher upward emotional support reported by fathers, mothers, and children was associated with mental health in each respective group. Higher upward financial support reported by fathers and mothers was linked to better mental health in each respective group. Discussion These findings enrich the intergenerational solidarity model by showing how intergenerational solidarity shapes well-being across generations in immigration contexts, varying by solidarity dimension and parental gender. The results suggest that targeted mental health interventions, such as fostering emotional support within immigrant families, may promote well-being for both generations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SWY1022发布了新的文献求助10
刚刚
刚刚
刚刚
clyhg完成签到,获得积分10
1秒前
1秒前
xuan发布了新的文献求助10
1秒前
2秒前
烟花应助风中诺言采纳,获得10
2秒前
年轻的鸡翅完成签到,获得积分10
2秒前
4秒前
6秒前
无糖果粒橙应助Zero采纳,获得10
6秒前
Willpower发布了新的文献求助30
6秒前
richadowei发布了新的文献求助10
6秒前
6秒前
xuan发布了新的文献求助10
7秒前
8秒前
专注飞薇关注了科研通微信公众号
8秒前
英姑应助尘落埃采纳,获得30
9秒前
9秒前
xyx完成签到 ,获得积分10
11秒前
diu发布了新的文献求助10
11秒前
12秒前
13秒前
安详冰夏完成签到,获得积分10
13秒前
Tqs发布了新的文献求助10
13秒前
xxxx_00应助故意采纳,获得10
13秒前
糜灭龙发布了新的文献求助10
14秒前
xuan发布了新的文献求助10
14秒前
乐乐应助richadowei采纳,获得10
15秒前
科研通AI6.2应助xyx采纳,获得10
18秒前
18秒前
18秒前
烟花应助White Night采纳,获得10
18秒前
打打应助汪进辉_Will采纳,获得10
19秒前
千寻完成签到 ,获得积分10
19秒前
优美的小猫咪完成签到,获得积分10
19秒前
20秒前
dudu发布了新的文献求助10
20秒前
20秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583903
求助须知:如何正确求助?哪些是违规求助? 9162659
关于积分的说明 19607512
捐赠科研通 7165840
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431276
邀请新用户注册赠送积分活动 2257837