ArticleHormones (Athens, Greece)2026
Associations between multiple metabolic indices and circadian syndrome: a cross-sectional study with mediation analysis of the C-reactive protein triglyceride glucose index.
Article in Hormones (Athens, Greece), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveThe aim of this study is to comprehensively investigate the independent associations between a wide array of novel metabolic indices and the prevalence of circadian syndrome (CircS), as well as to explore, within a cross‑sectional framework, whether the C‑reactive protein triglyceride glucose index (CTI) shows statistical associations consistent with mediation.
methodsA cross‑sectional analysis was conducted using data from the China Health and Retirement Longitudinal Study (CHARLS) 2015 wave, involving 6,507 participants aged ≥ 45 years. Multivariable logistic regression, restricted cubic splines, and mediation analyses were employed to assess associations, non‑linearity, and indirect effects (cross‑sectionally consistent with mediation).
resultsIn fully adjusted models, multiple metabolic indices - including dynapenic abdominal obesity, frailty, TyG‑related indices, and the cardiometabolic index (CMI) - showed significant positive associations with CircS prevalence (all P < 0.001), while CCR was inversely associated. Restricted cubic spline analyses revealed significant non‑linear relationships for all indices (log‑likelihood ratio test P < 0.001). Mediation analysis indicated that CTI had a statistically significant indirect effect (cross‑sectionally consistent with mediation), with the proportion of the total effect statistically attributable to CTI ranging from 20.8% to 86.5%.
conclusionThis large‑scale cross‑sectional study identified significant, often non‑linear, associations between multiple novel metabolic indices and CircS. CTI, a composite marker of inflammation and metabolism, showed a substantial indirect effect cross‑sectionally consistent with mediation in these associations. These hypothesis‑generating findings highlight the potential importance of the "metabolic‑inflammatory" axis in relation to CircS and offer epidemiological clues for early identification and risk stratification. Prospective studies are needed to assess temporality and causality.
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