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老年人社会网络档案的转换及其与全因死亡率的关系。

Transitions between social network profiles and their relation with all-cause mortality among older adults.

机构信息

School of Arts and Social Sciences, Hong Kong Metropolitan University, Hong Kong(1).

Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore.

出版信息

Soc Sci Med. 2022 Jan;292:114617. doi: 10.1016/j.socscimed.2021.114617. Epub 2021 Nov 30.

Abstract

BACKGROUND

The importance of social network in mortality among older adults has been acknowledged. However, existing studies typically overlook the interplay among social network indicators, and seldom consider the change in social network over time. We take a person-centered approach to identify transitions between social network profiles, and examine the linkage of such transitions with subsequent mortality risk.

METHODS

Data came from 2738 older Singaporeans enrolled in a longitudinal study. Latent transition analysis examined nine social network indicators assessed at two time points, two years apart to reveal the corresponding transitions between social network profiles. Adjusted Cox regression then associated the identified transitions with all-cause mortality risk in the subsequent four years.

RESULTS

We observed three diverse social network profiles (that featured diversified social interaction and involved both household and non-household members) and three relatively restricted social network profiles (that focused on household or non-household members). Compared to sustained diverse profiles over time, sustained restricted profiles or a transition from diverse to restricted profiles entailed increased mortality risk. The mortality risk following a restricted-to-diverse profile transition could be as low as that associated with sustained diverse profiles.

CONCLUSIONS

Dynamics of social network profiles have implications for mortality risk in later life. To promote longevity, initiatives are needed to help older people to maintain or shift to diverse social network profiles.

摘要

背景

社会网络在老年人死亡率中的重要性已得到认可。然而,现有研究通常忽略了社会网络指标之间的相互作用,很少考虑社会网络随时间的变化。我们采用以人为中心的方法来识别社会网络特征之间的转变,并研究这种转变与随后的死亡率风险之间的联系。

方法

数据来自于 2738 名参加纵向研究的新加坡老年人。潜在转变分析检查了在两年间隔的两个时间点评估的九个社会网络指标,以揭示社会网络特征之间的相应转变。然后,调整后的 Cox 回归将确定的转变与随后四年内的全因死亡率风险相关联。

结果

我们观察到三种不同的社会网络特征(具有多样化的社会互动,并涉及家庭和非家庭成员)和三种相对受限的社会网络特征(专注于家庭或非家庭成员)。与持续多样化的特征相比,持续受限的特征或从多样化到受限的特征的转变与更高的死亡率风险相关。从受限到多样化特征的转变后,死亡率风险可能与持续多样化特征相关的风险一样低。

结论

社会网络特征的动态对晚年的死亡率风险具有影响。为了促进长寿,需要采取措施帮助老年人保持或转变为多样化的社会网络特征。

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