Acculturation, family relations, and mental health of Chinese older adults in the United States

美国华人老年人的文化适应、家庭关系和心理健康

• 批准号: 9299162
• 负责人: Man Guo
• 金额: $ 19.99万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9299162
• 关键词: Acculturation; Address; Affect; Age; Aging; American; Anxiety; Behavior; Berry; Caring; Chinese People; Complex; Country; Data; Data Analyses; Dimensions; Economics; Effectiveness; Elderly; Emotional; Ethnic group; Family; Family Process; Family Relationship; Family Study; Frequencies; Future; Government; Heterogeneity; Immigrant; Individual; Intervention; Knowledge; Length; Linguistics; Link; Liquid substance; Loneliness; Longitudinal Studies; Measures; Mental Depression; Mental Health; Minority; Nature; Outcome; Pattern; Policy Maker; Population; Population Study; Predictive Factor; Process; Provider; Publishing; Quality of life; Research; Research Personnel; Risk; Sampling; Services; Social Environment; Social Work; Statistical Models; Stress; Structure; Subgroup; Surveys; Symptoms; Time; Typology; United States; affection; base; cohort; experience; falls; follow-up; insight; lens; migration; novel; population based; preference; research to practice; residence; safety net; social exclusion; solidarity; success; theories; tool

The overall objective of this proposed R21 application is to conduct a secondary data analysis of the largest and most comprehensive population study (PINE Study) of US Chinese older adults to identify differential clusters of aging immigrants in terms of family relation patterns and to identify family relation pattern that is associated with favorable mental health outcomes. More specifically, using latent class analysis, a statistical tool that holds great potential, yet rarely used in family studies or among immigrant populations, this proposal addresses three specific aims: 1) Identify different patterns (latent classes) of family relations based on a combination of structural, associational, functional, affectional, and normative solidary; 2) Examine acculturation factors (length of residence in the US, age at migration, reasons for migration, levels of acculturation) that predict each pattern of family relations identified in Aim 1; 3) Identify family relation pattern that is associated with favorable mental health outcomes (i.e., depression, anxiety, loneliness, stress, and quality of life) of older adults. Chinese is a rapidly growing but under-studied minority subpopulation in the U.S. with relatively high rates of mental health problems. As most aging immigrants, the well-being of Chinese older adults is intrinsically linked with their families due to cultural preferences, economic constraints, linguistic isolation, and limited access to formal services. Older immigrants and their families function in a fluid social environment. Family relations are reshaped in the acculturation process, resulting in divergent family experiences even within the same ethnic group. Our knowledge regarding such heterogeneities among older immigrants and their implications for mental health is essentially lacking. This marked research gap is further exacerbated by small, non-probability samples that have been used in most existing studies, as well as the use of a single- dimensional approach that focuses on discrete dimensions of family relations without considering underlying structures that may have shaped different dimensions. To address these gaps, we will use the two-wave panel data of the PINE (N > 2,700) to identify clusters of older adults who are at higher mental health risks by using a novel statistical model approach that provides a unified, comprehensive assessment of the multidimensional family relations, and by identifying the predictors of different family relation types, and the most “optimal” family relation type that benefits mental health in the long run. The findings from this proposal will inform researchers, clinicians, social service providers, and policy makers to a) better identify at-risk older immigrants for targeted and tailored assessment and interventions, b) better understand the nature of ethnic aging and hard-to-measure family processes among older immigrants, c) develop new ways of research/practice to enhance successful aging of rapidly increasing immigrant populations through a refined family lens.

这一拟议的R21应用程序的总体目标是对 规模最大、最全面的美国华人老年人人口研究(PINE研究)，以确定 老年移民在家庭关系模式和识别家庭关系方面的差异性聚类 与良好的心理健康结果相关的模式。更具体地说，使用潜在类 分析，一种具有巨大潜力的统计工具，但很少用于家庭研究或移民中 关于人口，这项建议涉及三个具体目标：1)确定不同的家庭模式(潜在类别) 基于结构关系、联想关系、功能关系、情感关系和规范关系的组合；2) 考察文化适应因素(在美国居住的时间长短、移民年龄、移民原因、 文化适应)预测目标1中确定的每种家庭关系模式；3)确定家庭关系模式 这与良好的心理健康结果有关(例如，抑郁、焦虑、孤独、压力和 生活质量)。 中国人在美国是一个增长迅速但研究不足的少数族裔群体，其比例相对较高 心理健康问题的比率。与大多数老年移民一样，中国老年人的福祉是 由于文化偏好、经济限制、语言孤立以及 获得正式服务的机会有限。老年移民及其家人在一个不稳定的社会环境中发挥作用。 家庭关系在文化适应过程中被重塑，甚至导致不同的家庭经历 在同一种族群体内。我们对老年移民中这种异质性的了解 它们对精神健康的影响基本上是缺乏的。这一显著的研究差距进一步加剧了 在大多数现有研究中已经使用的小的、非概率样本，以及使用单一的- 维度方法，关注家庭关系的离散维度，而不考虑潜在的 可能塑造了不同维度的结构。为了解决这些差距，我们将使用两波 松树(N&gT；2700)的面板数据，通过以下方式识别处于较高心理健康风险的老年人群体 使用新的统计模型方法，提供统一、全面的评估 多维家庭关系，并确定不同家庭关系类型的预测因素，以及 从长远来看，最有利于心理健康的“最佳”家庭关系类型。这项提案的结果是 将让研究人员、临床医生、社会服务提供商和政策制定者更好地识别高危老年人 对移民进行有针对性和有针对性的评估和干预，b)更好地了解族裔的性质 老年移民的老龄化和难以衡量的家庭进程，c)开发新的方法 研究/实践通过完善的移民政策促进快速增长的移民人口的成功老龄化 家庭镜头。