ArticleFrontiers in nutrition2023
Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population.
Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07452159 (Diabetes in Asians at Risk in Youth), which is not on this map. Cited by 6 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Diabetes in Asians at Risk in Youth
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Machine learning-based estimation of trunk fat percentage and its association with cardiometabolic risk leveraging two large national cohorts.Frontiers in nutrition · 2026Article
- Lean body mass index and the risk of diabetes onset: A nationwide epidemiological cohort study.Journal of diabetes investigation · 2025Article
- Associations of Urinary Cadmium with Body Composition and Fat Distribution in US Adults: Findings from NHANES 2011-2018.Biological trace element research · 2025Article
- The longitudinal association of adipose-to-lean ratio with incident cardiometabolic morbidity: The CARDIA study.Journal of diabetes and its complications · 2024Article
- Association of organ damage with predicted fat mass in a community-dwelling elderly: the Northern Shanghai study.Aging clinical and experimental research · 2024Article
- Low muscle mass index is associated with type 2 diabetes risk in a Latin-American population: a cross-sectional study.Frontiers in nutrition · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Objective: The relationship between body composition fat mass (FM) and lean body mass (LBM) and diabetes risk is currently debated, and the purpose of this study was to examine the association of predicted FM and LBM with diabetes in both sexes. Methods: The current study was a secondary analysis of data from the NAGALA (NAfld in the Gifu Area, Longitudinal Analysis) cohort study of 15,463 baseline normoglycemic participants. Predicted LBM and FM were calculated for each participant using anthropometric prediction equations developed and validated for different sexes based on the National Health and Nutrition Examination Survey (NHANES) database, and the outcome of interest was diabetes (types not distinguished) onset. Multivariate Cox regression analyses were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations of predicted FM and LBM with diabetes risk and further visualized their associations using a restricted cubic spline function. Results: The incidence density of diabetes was 3.93/1000 person-years over a mean observation period of 6.13 years. In women, predicted LBM and FM were linearly associated with diabetes risk, with each kilogram increase in predicted LBM reducing the diabetes risk by 65% (HR 0.35, 95%CI 0.17, 0.71; Conclusion: In this Asian population cohort, we found that high LBM and low FM were associated with lower diabetes risk according to anthropometric equations. Based on the results of the non-linear analysis, we believed that it may be appropriate for Asian men to keep their LBM above 45.4 kg and their FM around 13.76 kg.
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Registered trials
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