Latent class analysis to evaluate performance of plasma cortisol, plasma catecholamines, and SHSQ-25 for early recognition of suboptimal health status

The EPMA Journal
Yu-Xiang YanWei Wang

Abstract

Chronic stress is associated with suboptimal health status (SHS) which is a new public health challenge in China and worldwide. Plasma stress hormones may act as potential objective biomarkers for SHS measure. This study was aimed to evaluate the diagnostic performance of plasma cortisol, catecholamine adrenaline/noradrenaline, and SHS questionnaires (SHSQ) for SHS using latent class analysis (LCA) in the absence of a gold standard. A cross-sectional study was conducted among 868 employees in Beijing. The SHS questionnaires-25 (SHSQ-25) was distributed, and plasma cortisol, adrenaline, and noradrenaline were measured in the survey. LCA was used to assess the performance of both subjective and objective measures for SHS recognition. Akaike information criterion (AIC) and consistent AIC (CAIC) was 14.11 and 54.48 respectively, indicating that the model was well fitted. The sensitivity and specificity of plasma cortisol were 0.836 (95% CI 0.811-0.861) and 0.840 (95% CI 0.816-0.864), respectively. The area under curve (AUC) of receiver operating characteristic (ROC) of SHSQ-25 was 0.743 (95% CI 0.709-777), while the AUC of plasma adrenaline was 0.688 (95% CI 0.651-0.725). The prevalence of SHS in the investigated population was 34....Continue Reading

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Citations

Dec 7, 2019·Journal of Cellular and Molecular Medicine·Qi SunYouxin Wang
May 18, 2021·Journal of Multidisciplinary Healthcare·Gehendra MaharaJinxin Zhang

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