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Stand by Me: Social Ties and Health in Real-Time.《与我相伴:实时的社会关系与健康》
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Random sampling of alters from networks: A promising direction in egocentric network research.从网络中随机抽取变体:自我中心网络研究的一个有前景的方向。
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US trends in social isolation, social engagement, and companionship ⎯ nationally and by age, sex, race/ethnicity, family income, and work hours, 2003-2020.2003年至2020年美国社会隔离、社交参与和陪伴的趋势——全国及按年龄、性别、种族/族裔、家庭收入和工作时长划分的趋势
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生命历程中的社会联系:认识社会联系的不同维度。

Social Connections Over the Life Course: Appreciating Distinct Dimensions of Social Connections.

作者信息

Peng Siyun, Roth Adam R, Perry Brea L

机构信息

School of Aging Studies, University of South Florida, Tampa, FL, USA.

Department of Sociology & Irsay Institute, Indiana University, Bloomington, IN, USA.

出版信息

Res Aging. 2025 Sep 5:1640275251377777. doi: 10.1177/01640275251377777.

DOI:10.1177/01640275251377777
PMID:40911374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12462710/
Abstract

Despite growing attention to the social isolation crisis in the U.S., it remains unclear whether Americans experience a decline in social connection with age. Given the complex nature of social connections, this study argues that we need to ask a different question - which domains of social connections decline with age. Using representative egocentric network data (Person-to-Person Health Interview; = 2,603) to measure core discussion networks and representative time-diary data (American Time Use Survey; = 35,900) to measure daily social interactions, we find diverging age differences across two dimensions of social connections. These results present a complex picture of social connections. Specifically, people maintain a consistent core discussion network of confidants across all ages. However, daily social interactions decline with age. Additionally, we find that social roles have a sizable impact on daily social interactions but little impact on core discussion networks across the life course.

摘要

尽管美国社会对社会隔离危机的关注日益增加,但美国人的社会联系是否会随着年龄增长而减少仍不明确。鉴于社会联系的复杂性,本研究认为我们需要提出一个不同的问题——社会联系的哪些领域会随着年龄增长而减少。利用具有代表性的以自我为中心的网络数据(个人对个人健康访谈;n = 2603)来衡量核心讨论网络,并利用具有代表性的时间日记数据(美国时间使用调查;n = 35900)来衡量日常社会互动,我们发现社会联系的两个维度存在不同的年龄差异。这些结果呈现出一幅复杂的社会联系图景。具体而言,各年龄段的人都维持着一个由知己组成的稳定核心讨论网络。然而,日常社会互动会随着年龄增长而减少。此外,我们发现社会角色对日常社会互动有相当大的影响,但在整个生命历程中对核心讨论网络的影响很小。