ArticleJournal of diabetes2025
Predictive Capability of Dual Trajectories of Central Adiposity Indices Combined With Glucose for Cardiovascular Diseases.
Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Associations of visceral fat accumulation with cardiovascular disease across cardiovascular-kidney-metabolic syndrome stages 0-3: mediation effects of arterial stiffness in a prospective cohort study.BMC cardiovascular disorders · 2026Article
- Association of cumulative changes in atherogenic index of plasma and its obesity-related derivatives with cardiovascular disease: emphasis on incremental risk of diabetes status.Cardiovascular diabetology · 2025Article
- Revisiting obesity thresholds for cardiovascular disease and mortality risk in Chinese adults: Age- and gender-specific insights.Cell reports. Medicine · 2025Article
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14 authors.
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Abstract
backgroundThis aimed to quantify the association between dual trajectory patterns combining seven central adiposity (CA) indices and fasting plasma glucose (FPG) with cardiovascular disease (CVD) risk in adults, and to compare their predictive performance.
methodsThe Kailuan Study, a prospective study initiated in June 2006, included 39 772 adults without pre-existing CVD as of 2010. Dual trajectories of seven CA indices combined with FPG were recorded from 2006 to 2010 to predict CVD risk from 2010 to 2021. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CVD.
resultsDuring a median follow-up of 11.0 years, 2715 incident CVD events were recorded. Four distinct patterns of CA indices (waist circumference, waist-to-height ratio, abdominal volume index, body roundness index) and three distinct patterns of other CA indices (waist-to-hip ratio, conicity index, A body shape index) combined with FPG were identified. Compared with the lowest-risk group, the highest-risk group exhibited a significantly higher CVD risk (adjusted HRs [95% CIs]: 2.41 [2.02-2.86], 2.57 [2.18-3.05], 2.25 [1.92-2.63], 2.35 [2.01-2.73], 2.08 [1.74-2.49], 1.97 [1.72-2.26], 1.81 [1.58-2.07], respectively). Overall, the predictive capabilities were generally similar, with the combination of waist circumference and FPG showing a slightly better predictive performance compared with other patterns.
conclusionsDistinct patterns of dual trajectories involving seven CA indices combined with FPG were associated with CVD risk. The results suggest that the combination of waist circumference and FPG may have greater clinical significance in predicting CVD risk.
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