McCann Stewart Jh
Cape Breton University, Canada.
J Health Psychol. 2025 Sep;30(11):3153-3168. doi: 10.1177/13591053241306564. Epub 2025 Jan 2.
Structural equation modeling (SEM) tested the of a model with neuroticism, openness to experience, socioeconomic status (SES), and race as predictors of a composite of six health risks and age-adjusted all-cause mortality in 2020 using the 48 contiguous American states as analytic units. In the final model, neuroticism, openness, and SES accounted for 80% of the health risk composite variance. These three variables and composite health risk accounted for 85% of the death rate variance. Neuroticism, openness, and SES had direct impacts on the health risk composite and indirect impacts on death rates through the health risk composite. SES and composite health risk also had direct impacts on death rates. Spatial autocorrelation and multicollinearity were not problematic. These SEM results underline the importance of state resident personality and SES in this context and support the of the that the demonstrated relations may be in nature.
结构方程模型（SEM）以神经质、经验开放性、社会经济地位（SES）和种族作为预测因素，以2020年美国48个相邻州作为分析单位，对一个包含六种健康风险和年龄调整后的全因死亡率的综合模型进行了检验。在最终模型中，神经质、开放性和社会经济地位解释了健康风险综合方差的80%。这三个变量和综合健康风险解释了死亡率方差的85%。神经质、开放性和社会经济地位对健康风险综合指标有直接影响，并通过健康风险综合指标对死亡率有间接影响。社会经济地位和综合健康风险也对死亡率有直接影响。空间自相关和多重共线性不存在问题。这些结构方程模型的结果强调了在这种背景下州居民个性和社会经济地位的重要性，并支持了所证明的关系可能具有因果性质这一假设。
