Selective Narrowing of Social Networks Across Adulthood is Associated With Improved Emotional Experience in Daily Life.

Selective Narrowing of Social Networks Across Adulthood is Associated With Improved Emotional Experience in Daily Life.
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DOI:
10.1177/0165025413515404
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发表时间:
2014-03-01
影响因子:
3.7
通讯作者:
Carstensen LL
Carstensen LL
中科院分区:
心理学3区
文献类型:
--
作者:
English T;Carstensen LL

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以往的研究已经记录了社交网络规模和构成方面的年龄差异,这些差异表明社交网络随着年龄的增长而变小,并且包含越来越大比例的熟知的社交伙伴。根据社会情感选择理论,社交网络构成的这种变化具有一种先行的情绪调节功能,它支持人们对情感幸福的重视程度随着年龄增长而增加。本研究采用了纵向设计,样本涵盖了整个成年年龄范围,以检验社交网络中是否存在个体内部(发展性)变化的证据,以及人际关系的特征是否能预测日常生活中的情感体验。通过增长曲线分析发现,社交网络在成年早期规模增大,然后在整个晚年持续稳定下降。正如社会情感选择理论所假定的,减少主要出现在外围伙伴的数量上;亲密伙伴的数量随着时间的推移相对稳定。此外,横断面分析显示,老年人报告说社交网络成员引发的负面情绪更少,正面情绪更多。社交网络的情感基调,特别是当负面情绪与网络成员相关联时,也能预测参与者的情感体验。总体而言,在考虑了人口统计学变量和身体健康因素后,研究结果是可靠的。这些研究结果的意义在社会情感选择理论及相关理论模型的背景下进行了讨论。
Past research has documented age differences in the size and composition of social networks that suggest that networks grow smaller with age and include an increasingly greater proportion of well-known social partners. According to socioemotional selectivity theory, such changes in social network composition serve an antecedent emotion regulatory function that supports an age-related increase in the priority that people place on emotional well-being. The present study employed a longitudinal design with a sample that spanned the full adult age range to examine whether there is evidence of within-individual (developmental) change in social networks and whether the characteristics of relationships predict emotional experiences in daily life. Using growth curve analyses, social networks were found to increase in size in young adulthood and then decline steadily throughout later life. As postulated by socioemotional selectivity theory, reductions were observed primarily in the number of peripheral partners; the number of close partners was relatively stable over time. In addition, cross-sectional analyses revealed that older adults reported that social network members elicited less negative emotion and more positive emotion. The emotional tone of social networks, particularly when negative emotions were associated with network members, also predicted experienced emotion of participants. Overall, findings were robust after taking into account demographic variables and physical health. The implications of these findings are discussed in the context of socioemotional selectivity theory and related theoretical models.
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