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Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population

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...

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Autores principales: Kuang, Maobin, Lu, Song, Yang, Ruijuan, Chen, Huaigang, Zhang, Shuhua, Sheng, Guotai, Zou, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203423/
https://www.ncbi.nlm.nih.gov/pubmed/37229472
http://dx.doi.org/10.3389/fnut.2023.1093438
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author Kuang, Maobin
Lu, Song
Yang, Ruijuan
Chen, Huaigang
Zhang, Shuhua
Sheng, Guotai
Zou, Yang
author_facet Kuang, Maobin
Lu, Song
Yang, Ruijuan
Chen, Huaigang
Zhang, Shuhua
Sheng, Guotai
Zou, Yang
author_sort Kuang, Maobin
collection PubMed
description 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; P < 0.05), whereas each kilogram increase in predicted FM increased the diabetes risk by 84% (HR 1.84, 95%CI 1.26, 2.69; P < 0.05). In contrast, predicted LBM and FM were non-linearly associated with diabetes risk in men (all P for non-linearity < 0.05), with an L-shaped association between predicted LBM and diabetes risk and a saturation point that minimized the risk of diabetes was 45.4 kg, while predicted FM was associated with diabetes risk in a U-shape pattern and a threshold point with the lowest predicted FM-related diabetes risk was 13.76 kg. 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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spelling pubmed-102034232023-05-24 Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population Kuang, Maobin Lu, Song Yang, Ruijuan Chen, Huaigang Zhang, Shuhua Sheng, Guotai Zou, Yang Front Nutr Nutrition 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; P < 0.05), whereas each kilogram increase in predicted FM increased the diabetes risk by 84% (HR 1.84, 95%CI 1.26, 2.69; P < 0.05). In contrast, predicted LBM and FM were non-linearly associated with diabetes risk in men (all P for non-linearity < 0.05), with an L-shaped association between predicted LBM and diabetes risk and a saturation point that minimized the risk of diabetes was 45.4 kg, while predicted FM was associated with diabetes risk in a U-shape pattern and a threshold point with the lowest predicted FM-related diabetes risk was 13.76 kg. 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. Frontiers Media S.A. 2023-05-09 /pmc/articles/PMC10203423/ /pubmed/37229472 http://dx.doi.org/10.3389/fnut.2023.1093438 Text en Copyright © 2023 Kuang, Lu, Yang, Chen, Zhang, Sheng and Zou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Kuang, Maobin
Lu, Song
Yang, Ruijuan
Chen, Huaigang
Zhang, Shuhua
Sheng, Guotai
Zou, Yang
Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title_full Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title_fullStr Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title_full_unstemmed Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title_short Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
title_sort association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an asian population
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203423/
https://www.ncbi.nlm.nih.gov/pubmed/37229472
http://dx.doi.org/10.3389/fnut.2023.1093438
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