How Spouses Influence Each Other's Health in Same- and Different-Sex Marriages: A Dyadic and Longitudinal Assessment from Mid to Later Life

同性和异性婚姻中配偶如何影响彼此的健康：从中年到晚年的双向和纵向评估

• 批准号: 10382688
• 负责人: DEBRA J. UMBERSON
• 金额: $ 57.97万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10382688
• 关键词: Affect; Age; Aging; Alcohol consumption; American; Baseline Surveys; Behavior; Behavioral; Biological; Couples; Data; Data Analyses; Data Collection; Data Scientist; Data Set; Distress; Elderly; Emotional; Exploratory/Developmental Grant; Gays; Gender; Goals; Health; Health Status; Health behavior; Heterosexuals; Individual; Knowledge; Lead; Legal; Lesbian; Link; Long-Term Effects; Marriage; Mediating; Mental Depression; Mental Health; Obesity; Outcome; Pathway interactions; Pattern; Personal Satisfaction; Policies; Population Research; Process; Publications; Recording of previous events; Research; Risk; Same-sex; Scientific Advances and Accomplishments; Scientist; Shapes; Spouses; Stress; Surveys; Thinking; Time; Unmarried; Variant; Woman; age related; base; caregiving; diaries; emotion regulation; evidence base; experience; follow-up; gender difference; health difference; innovation; longitudinal design; men; middle age; novel; peer; physical conditioning; physical symptom; psychologic; psychological symptom; resilience; response; same-sex partnership; sex; social; transmission process

Abstract Decades of population research show that married Americans are in better health and live longer than their unmarried peers and that there are gender differences in how spouses influence each other’s health. Until recently, however, this research was entirely based on marriages between women and men. In 2015, with NIA support (R21 AG0445850), we collected dyadic data to conduct the first in-depth analysis of marital processes and health comparing legally married midlife spouses in same-sex and different-sex marriages. Findings have highlighted differences in health-related marital dynamics for women and men in same- and different-sex unions. These dynamics likely impact both spouses’ long-term health, but due to a lack of longitudinal and dyadic data, scientists know little about how they do so. The major goal of this project is to construct a novel, longitudinal, dyadic data set to compare how same-sex and different-sex married partners influence each other’s health behaviors and mental and physical health from mid- to later life. In 2015, we collected survey data on relationship dynamics, relationship and health histories, and multiple health outcomes from both spouses (ages 35–65) in legally married same- and different-sex marriages (N=838 individuals, 419 dyads; 124 same-sex men couples, 171 same-sex women couples; 124 different-sex couples). We also collected 10 days of daily diary data to assess daily fluctuation in partner dynamics, stress exposure, health behaviors, and psychological and physical symptoms. We propose a Time 2 and Time 3 longitudinal follow-up to: (1) Advance scientific understanding of how relationship dynamics that influence long-term health trajectories may vary for women and men in same- and different-sex marriages; (2) Elucidate how patterns in daily experiences of health-related marital dynamics change across 3 occasions spanning 8 years and how these dynamics vary for women and men in same- and different-sex marriages; and (3) Link the daily diary and survey data to consider how short-term fluctuations in relationship processes affect longer-term change in multiple health outcomes. Based on results from the 2015 baseline survey and diary data, we expect that over time, women and men in same- and different- sex marriages will develop unique patterns of risk (e.g., health-damaging behaviors, stress and distress transmission) and resilience (e.g., emotional support, caregiving, emotion regulation) that affect health. Many of the most important questions about the cumulative effects of marital dynamics on health and how those dynamics change as spouses age require longitudinal data—data that do not currently exist for same-sex couples. The novel cross-sectional dyadic data collected through NIA R21 AG044585 provide a unique opportunity for a longitudinal data collection on aging same- and different-sex married couples. Analysis of these data will provide evidence-based knowledge about the processes that link marital dynamics to health as spouses age and how these processes vary for women and men in same- and different-sex marriages.

抽象的 数十年的人口研究表明，已婚美国人的健康状况更好，寿命也更长 未婚同龄人以及配偶对彼此健康的影响存在性别差异。 然而，最近，这项研究完全基于 2015 年 NIA 的女性和男性之间的婚姻。 支持（R21 AG0445850），我们收集了二元数据，对婚姻过程进行了首次深入分析 比较同性和异性婚姻中合法结婚的中年配偶的健康状况。 强调了同性和异性中女性和男性与健康相关的婚姻动态的差异 这些动态可能会影响配偶双方的长期健康，但由于缺乏纵向和长期的联系。 科学家们对二元数据知之甚少，这个项目的主要目标是构建一个新颖的、 纵向二元数据集，用于比较同性和异性已婚伴侣如何影响彼此 2015年，我们收集了中晚年健康行为和身心健康的调查数据。 关系动态、关系和健康史以及配偶双方的多种健康结果（年龄 35-65）合法结婚的同性和异性婚姻（N = 838 人，419 人；124 名同性男子 夫妇，171对同性女性夫妇；124对异性夫妇）我们还收集了10天的日常日记数据。 评估伴侣动态、压力暴露、健康行为以及心理和行为的日常波动 我们建议进行第 2 期和第 3 期纵向随访，以： (1) 推进科学发展。 了解影响女性长期健康轨迹的关系动态如何变化 以及同性和异性婚姻中的男性；(2) 阐明与健康相关的日常经历的模式如何 婚姻动态在 8 年内发生了 3 次变化，以及这些动态对于女性和男性有何不同 在同性和异性婚姻中；(3) 将日常日记和调查数据联系起来，以考虑短期的影响 根据结果​​，关系过程的波动会影响多种健康结果的长期变化。 根据 2015 年基线调查和日记数据，我们预计随着时间的推移，女性和男性在相同和不同的情况下 性婚姻会产生独特的风险模式（例如损害健康的行为、压力和痛苦） 传播）和恢复力（例如情感支持、照顾、情绪调节）会影响健康。 关于婚姻动态对健康的累积影响的最重要问题以及这些影响如何 随着配偶年龄的变化，动态变化需要纵向数据——目前同性数据不存在 通过 NIA R21 AG044585 收集的新颖的横截面二元数据提供了独特的结果。 对老年同性和异性已婚夫妇进行纵向数据收集的机会。 这些数据将提供有关将婚姻动态与健康联系起来的过程的循证知识，例如 配偶的年龄以及同性和异性婚姻中女性和男性的这些过程有何不同。