ArticleGlobal epidemiology2025
Time-varying confounders in association between general and central obesity and coronary heart disease: Longitudinal targeted maximum likelihood estimation on atherosclerosis risk in communities study.
Article in Global epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Alcohol amount, drinking patterns, and gastric cancer risk: a nationwide study using targeted maximum likelihood estimation.European journal of epidemiology · 2026Article
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3 authors.
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Abstract
Aim: This study examines the association between general and central obesity and the risk of cardiovascular diseases, utilizing the Targeted Maximum Likelihood Estimator (TMLE) method to account for time-varying covariates and also we compares the findings with those derived from conventional regression methods in the Atherosclerosis Risk in Communities (ARIC) cohort study. Methods: We considered 15,792 participants 45-75 years of age registered in the Atherosclerosis Risk in Communities study, visit 1 and followed to visit 4. General obesity defined as body mass index and central obesity defined as Waist Circumference (WC), Waist-Hip-Ratio (WHR), Waist-Height-Ratio (WHtR), Body Shape Index (BSI) and Body Roundness Index (BRI). The effect of obesity on Coronary Heart Disease (CHD) was estimated and compared by Longitudinal Targeted Maximum Likelihood Estimation (LTMLE) and generalized linear model. Results: The effects of BMI, adjusted for baseline and time-varying confounders, was 1.15 (95 %CI =1.00, 1.34). About the gender groups, the effect of BMI for males and females was 1.17 (95 %CI =0.97,1.40) and 1.19 (95 %CI =0.94,1.52), respectively. Considering age groups, the effect of BMI was 1.21 (95 %CI =0.95, 1.53) and 1.13 (95 %CI = 0.93, 1.36) for age ≤ 54 years and age > 54 years, respectively. With regards to central obesity, the BSI and WC were shown the strongest effects, respectively. Among females and age group≤54 years, WHtR was associated with a higher incidence of CHD. Conclusions: According to the results, the appropriate index for obesity varies based on gender and age. Knowledge about this difference will help to experts to implement appropriate interventions.
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