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什么导致了晚年的感知压力?递归划分方法。

What contributes to perceived stress in later life? A recursive partitioning approach.

机构信息

School of Psychology, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

Psychol Aging. 2011 Dec;26(4):830-43. doi: 10.1037/a0023180. Epub 2011 May 23.

DOI:10.1037/a0023180
PMID:21604885
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3177031/
Abstract

One possible explanation for the individual differences in outcomes of stress is the diversity of inputs that produce perceptions of being stressed. The current study examines how combinations of contextual features (e.g., social isolation, neighborhood quality, health problems, age discrimination, financial concerns, and recent life events) of later life contribute to overall feelings of stress. Recursive partitioning techniques (regression trees and random forests) were used to examine unique interrelations between predictors of perceived stress in a sample of 282 community-dwelling adults. Trees provided possible examples of equifinality (i.e., subsets of people with similar levels of perceived stress but different predictors) as well as identification both of contextual combinations that separated participants with very high and very low perceived stress. Random forest analyses aggregated across many trees based on permuted versions of the data and predictors; loneliness, financial strain, neighborhood strain, ageism, and to some extent life events emerged as important predictors. Interviews with a subsample of participants provided both thick description of the complex relationships identified in the trees, as well as additional risks not appearing in the survey results. Together, the analyses highlight what may be missed when stress is used as a simple unidimensional construct and can guide differential intervention efforts.

摘要

压力结果存在个体差异的一个可能解释是,产生压力感的输入因素存在多样性。本研究探讨了晚年生活的各种情境特征(例如,社会孤立、邻里质量、健康问题、年龄歧视、经济担忧和近期生活事件)如何共同导致整体压力感。递归分区技术(回归树和随机森林)用于检查 282 名居住在社区的成年人样本中感知压力的预测因素之间的独特相互关系。树提供了均等结果的可能示例(即,具有相似感知压力水平但不同预测因素的人群子集),以及识别将具有非常高和非常低感知压力的参与者分开的情境组合。基于数据和预测因子的置换版本,对许多树进行了随机森林分析;孤独感、经济压力、邻里压力、年龄歧视以及在某种程度上的生活事件成为重要的预测因素。对参与者的一个子样本进行的访谈不仅对树中确定的复杂关系进行了详细描述,而且还揭示了调查结果中没有出现的其他风险。总的来说,这些分析强调了在将压力作为一个简单的单一维度结构使用时可能会忽略的问题,并可以指导差异化的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a922/3177031/70b752bc4633/nihms-299090-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a922/3177031/72091ddf9942/nihms-299090-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a922/3177031/70b752bc4633/nihms-299090-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a922/3177031/72091ddf9942/nihms-299090-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a922/3177031/70b752bc4633/nihms-299090-f0002.jpg

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