Key result
Highest cumulative conicity index tertile linked to ~72% higher risk of incident stroke.
Why the study?
The conicity index is an anthropometric indicator of body fat distribution, and this study aimed to explore the associations of cumulative conicity index and its trajectories with self-reported stroke among Chinese adults.
Does a higher cumulative conicity index or persistently high conicity index trajectory increase the risk of self-reported incident stroke in middle-aged and older Chinese adults?
Cohort (n=6,179)
Does a higher cumulative conicity index or persistently high conicity index trajectory increase the risk of self-reported incident stroke in middle-aged and older Chinese adults?
Higher cumulative conicity index and persistently high conicity index trajectories are associated with a significantly increased risk of incident self-reported stroke in middle-aged and older Chinese adults.
Answers are grounded in this paper and cite their sources.
High cumulative conicity index was associated with stroke; hypothesis-generating for adiposity measures in Chinese adults and requires prospective validation.
Background: The conicity index (C-index) is an anthropometric indicator of body fat distribution. This study aimed to explore the associations of cumulative C-index and its trajectories with self-reported stroke among Chinese adults. Methods: Data were obtained from the China Health and Retirement Longitudinal Study. Exposures included cumulative C-index and C-index trajectories during 2011–2015. The outcome was self-reported incident stroke. Cumulative C-index was categorized by tertiles, and group-based trajectory modeling was used to identify distinct C-index trajectories. We used Cox proportional hazards regression models to investigate the associations of cumulative C-index and C-index trajectories with stroke. Results: A total of 6179 participants were included in this study. During a median follow-up of 4.6 years, incident stroke occurred in 489 (7.91%) participants. After adjusting for demographic characteristics and lifestyle-related factors, participants in the highest tertile of cumulative C-index (T3) had a 72% higher risk of stroke than those in the lowest tertile (T1) (HR = 1.72, 95% CI: 1.37–2.16, p < 0.001). Across C-index trajectory groups, individuals with a persistently high C-index had an 80% higher risk of stroke (HR = 1.80, 95% CI: 1.36–2.39, p < 0.001) than those with a persistently low C-index. After further adjustment for metabolic comorbidities and laboratory markers, the associations were somewhat attenuated but remained statistically significant. Conclusions: A higher cumulative C-index and persistently high C-index were associated with a significantly elevated risk of self-reported incident stroke among middle-aged and older Chinese adults.
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Li et al. (2026) conducted a cohort in Self-reported incident stroke (n=6,179). Cumulative conicity index (C-index) in the highest tertile (T3) and persistently high C-index trajectory vs. Lowest tertile of cumulative C-index (T1) and persistently low C-index trajectory was evaluated on Self-reported incident stroke (HR 1.72, 95% CI 1.37-2.16, p=< 0.001). Highest tertile cumulative conicity index (C-index) was associated with a 72% higher risk of incident stroke vs the lowest tertile (HR 1.72; 95% CI 1.37–2.16; p<0.001).
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