Key result
Metabolically unhealthy obesity is linked to ~160% higher incident stroke risk versus healthy normal weight.
Why the study?
This study aimed to assess the association of BMI-based and waist circumference-based metabolic phenotypes with the risk of stroke among Chinese community residents.
Do BMI-based and waist circumference-based metabolic phenotypes affect the risk of incident stroke in Chinese community residents?
Cohort (n=34,294)
Do BMI-based and waist circumference-based metabolic phenotypes affect the risk of incident stroke in Chinese community residents?
Hazard Ratio: 2.6 (95% CI 1.91–3.55)
p-value: p=<0.001
Metabolically unhealthy phenotypes, regardless of BMI or waist circumference, are associated with a significantly increased risk of incident stroke.
Alerts clinicians to elevated stroke risk among metabolically unhealthy Chinese adults; extends phenotype stratification evidence but leaves causality open.
This study aimed to assess the association of body mass index (BMI)-based and waist circumference (WC)-based metabolic phenotypes with the risk of stroke among Chinese community residents. A total of 34,294 participants (mean ± standard deviation age: 56.05 ± 11.26 years) with no previous stroke diagnosis history were included in this cohort study. BMI-based metabolic phenotypes were classified into eight groups: metabolically healthy and normal weight (MHNW), metabolically healthy and underweight (MHUW), metabolically healthy and overweight (MHOW), metabolically healthy and obese (MHO), metabolically unhealthy and normal weight (MUNW), metabolically unhealthy and underweight (MUUW), metabolically unhealthy and overweight (MUOW), and metabolically unhealthy and obese (MUO). WC-based metabolic phenotypes were classified into four groups: metabolically healthy and normal WC (MHNWC), metabolically healthy and oversized WC (MHOWC), metabolically unhealthy and normal WC (MUNWC), and metabolically unhealthy and oversized WC (MUOWC). The association of these phenotypes with developing stroke events was examined using proportional hazards models. A total of 546 cases of first-stroke onset were recorded over a median follow-up time of 4.97 years. Compared with the reference group, the obesity phenotypes showed higher risks for stroke. The adjusted HRs (95% CIs) of MHUW, MHOW, MHO, MUNW, MUUW, MUOW, and MUO phenotypes were 1.01 (0.41, 2.49), 1.47 (1.09, 2.00), 1.33 (0.80, 2.22), 2.49 (1.87, 3.30), 3.92 (1.44, 10.72), 2.14 (1.64, 2.79), and 2.60 (1.91, 3.55), respectively. The adjusted HRs (95% CIs) of MHOWC, MUNWC, and MUOWC were 1.41 (1.02, 1.94), 2.25 (1.76, 2.87), and 2.16 (1.63, 2.87), respectively. The metabolic phenotypes defined by an alternative definition all showed significant positive associations (except for MHUW), with the adjusted HR ranging from 1.51 to 3.08 based on BMI and from 1.68 to 2.24 based on WC. The risk of stroke increased with the increase in metabolic abnormality numbers in different BMI and WC groups (all p trend < 0.001). The present study suggests that maintaining normal body weight or WC and improving metabolic health are of great significance in preventing cerebrovascular diseases.
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Tang et al. (2022) conducted a cohort in Incident stroke (n=34,294). Metabolic phenotypes of body fatness (BMI and waist circumference) vs. Metabolically healthy and normal weight/waist circumference was evaluated on First-stroke onset (HR 2.60, 95% CI 1.91-3.55, p=<0.001). Metabolically unhealthy and obese (MUO) phenotypes were associated with a significantly increased risk of incident stroke compared to metabolically healthy normal weight individuals (HR 2.60; 95% CI 1.91-3.55).
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