Key result
Allostatic overload linked to ~31% higher morning cortisol in primary care patients.
Why the study?
The authors examined whether Psychosocial Index-informed assessment of allostatic overload identifies a clinically and biologically distinct subgroup in primary care.
Does PSI-informed assessment of allostatic overload identify a clinically and biologically distinct subgroup with altered cortisol and DHEA-S levels in primary care adults?
Cross-Sectional (n=430)
No
Does PSI-informed assessment of allostatic overload identify a clinically and biologically distinct subgroup with altered cortisol and DHEA-S levels in primary care adults?
Effect estimate: geometric mean ratio 1.31 (95% CI 1.17-1.47)
p-value: p=< .001
PSI-informed clinimetric assessment successfully identifies a primary care subgroup with a distinct psychosocial profile and higher adjusted morning cortisol.
PSI-informed AO assessment may flag distinct primary care subgroups; leaves open whether it improves outcomes or warrants routine adoption.
BACKGROUND: The Psychosocial Index (PSI) is a clinimetric instrument designed to integrate heterogeneous psychosocial information in medical practice. We examined whether PSI-informed assessment of allostatic overload (AO) identifies a clinically and biologically distinct subgroup in primary care. METHODS: This cross-sectional study included 430 adults aged 18-65 years recruited from a primary care centre in Türkiye. The full 55-item PSI was administered. AO status was determined by multidisciplinary consensus using participant interviews, PSI information, and observer ratings, without access to laboratory results. Sociodemographic, clinical, psychosocial, and biochemical characteristics were compared between AO-positive and AO-negative participants. Cortisol and dehydroepiandrosterone sulphate (DHEA-S) were evaluated using multivariate analysis of covariance and follow-up adjusted analyses. RESULTS: Overall, 265 participants (61.6%) were classified as AO positive. They had greater stress, psychological distress, sleep disturbance, and abnormal illness behaviour, together with lower well-being and quality of life. Biochemical data were available for 307 participants. After adjustment for age, sex, marital status, education, chronic disease, psychiatric diagnosis, and diastolic blood pressure, cortisol was 31% higher in AO-positive participants (geometric mean ratio 1.31, 95% confidence interval 1.17-1.47; P < .001). The adjusted DHEA-S difference was not statistically significant (P = .058), while C-reactive protein and metabolic parameters were similar between groups. CONCLUSIONS: PSI-informed clinimetric assessment identified a primary care subgroup with a coherent psychosocial profile and higher adjusted morning cortisol. These findings provide preliminary support for the clinical utility and biological correspondence of PSI-based AO assessment.
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Seven et al. (2026) conducted a cross-sectional in Allostatic overload (n=430). Allostatic overload (AO) positive vs. Allostatic overload (AO) negative was evaluated on Cortisol (geometric mean ratio 1.31, 95% CI 1.17-1.47, p=< .001). Primary care patients identified as allostatic overload positive by the Psychosocial Index had 31% higher adjusted morning cortisol compared to negative patients (geometric mean ratio 1.31; P<.001).
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