Objective

The present study tested a hierarchical model of cumulative stress in a large probability sample of adults from the United States.

Methods

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) models were used to develop and test a hierarchical model of cumulative stress. Structural equation models were used to estimate concurrent associations with demographic factors, polygenic risk scores, and physical health outcomes, as well as prospective associations with physical health outcomes.

Results

A hierarchical model of cumulative stress was the best-fitting model, with a general “s-factor” capturing the tendency for subordinate dimensions of stress to correlate. Associations with demographic factors and polygenic risk scores for physical and psychological phenotypes provide evidence for the convergent validity of a general s-factor of cumulative stress. The general s-factor and subordinate factors of cumulative stress were also associated with physical health outcomes, concurrently and prospectively, including number of chronic conditions, body mass index, and difficulty with activities of daily living.

Conclusions

Like other human individual differences, the co-occurrence of social stressors can be understood using a hierarchical model.

中文翻译：

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累积应力：应力结构中的一般“s”因素

客观的

本研究在美国成年人的大概率样本中测试了累积压力的分层模型。

方法

探索性因素分析 (EFA) 和验证性因素分析 (CFA) 模型用于开发和测试累积压力的层次模型。结构方程模型用于估计与人口因素、多基因风险评分和身体健康结果的同时关联，以及与身体健康结果的前瞻性关联。

结果

累积应力的分层模型是最佳拟合模型，一般“s 因子”捕捉应力的从属维度相关的趋势。与人口因素和身体和心理表型的多基因风险评分的关联为累积压力的一般 s 因子的收敛有效性提供了证据。累积压力的一般 s 因素和从属因素也同时和前瞻性地与身体健康结果相关，包括慢性病的数量、体重指数和日常生活活动的困难。

结论

与其他人类个体差异一样，社会压力源的同时出现可以使用分层模型来理解。