Key result
Unhealthy metabolic phenotypes linked to at least ~2.6-fold higher odds of elevated arterial stiffness.
Why the study?
Age- and sex-stratified associations between metabolic phenotypes and brachial-ankle pulse wave velocity in adults were not well characterized.
Are metabolically unhealthy phenotypes, independent of body mass index, associated with elevated brachial-ankle pulse wave velocity in adults?
Cross-Sectional (n=9,981)
No
Are metabolically unhealthy phenotypes, independent of body mass index, associated with elevated brachial-ankle pulse wave velocity in adults?
Effect estimate: adjusted OR 2.58-7.68 for MONW; 2.34-6.60 for MUO
p-value: p=<0.05
Metabolic unhealthiness, rather than obesity alone, is consistently associated with increased arterial stiffness, highlighting the importance of comprehensive metabolic assessment alongside BMI for vascular risk stratification.
Metabolic phenotypes may flag higher arterial stiffness risk independent of weight; leaves open causal inference and need for longitudinal outcome trials.
Objective To examine age- and sex-stratified associations between metabolic phenotypes and brachial-ankle pulse wave velocity (baPWV) in adults undergoing routine health examinations. Methods This cross-sectional study included 9,981 Chinese adults classified as metabolically healthy normal weight (MHNW), metabolically healthy obesity (MHO), metabolically obese normal weight (MONW), or metabolically unhealthy obesity (MUO) according to body mass index, homeostasis model assessment of insulin resistance, and metabolic syndrome status. Elevated baPWV was defined as mean bilateral baPWV >1700cm/s. Logistic regression analyses were stratified by sex and age (<50 and ≥50 years) and adjusted for age, smoking, and alcohol consumption. False discovery rate correction, phenotype-by-sex interaction testing, Firth logistic regression, and continuous-baPWV sensitivity analyses were performed. Results Elevated baPWV was present in 7.5% of participants. Compared with MHNW, MONW (adjusted OR range, 2.58–7.68) and MUO (adjusted OR range, 2.34–6.60) were associated with higher odds of elevated baPWV in all four sex-age strata, with associations remaining significant after false discovery rate correction. MHO was not significantly associated with elevated baPWV. The adjusted phenotype-by-sex interaction was not significant ( P = 0.495). Firth and continuous-baPWV sensitivity analyses yielded concordant findings, although estimates in women aged <50 years were imprecise because of sparse events. Conclusion MONW and MUO, but not MHO, were consistently associated with less favorable baPWV profiles across sex and age strata. Assessing metabolic health alongside body mass index may provide additional information for vascular risk characterization. Longitudinal multicenter studies are needed to confirm temporal and clinical significance.
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Chang et al. (2026) conducted a cross-sectional in Routine health examinations (n=9,981). Metabolically obese normal weight (MONW) and metabolically unhealthy obesity (MUO) vs. Metabolically healthy normal weight (MHNW) was evaluated on Elevated brachial-ankle pulse wave velocity (mean bilateral baPWV >1700 cm/s) (adjusted OR 2.58-7.68 for MONW; 2.34-6.60 for MUO, p=<0.05). Metabolically obese normal weight and metabolically unhealthy obesity phenotypes were consistently associated with higher odds of elevated brachial-ankle pulse wave velocity across sex and age strata compared to metabolically healthy normal weight adults.
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