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预测的脂肪量和去脂体重与糖尿病的关联:一项亚洲人群的纵向队列研究

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

作者信息

Kuang Maobin, Lu Song, Yang Ruijuan, Chen Huaigang, Zhang Shuhua, Sheng Guotai, Zou Yang

机构信息

Medical College of Nanchang University, Nanchang, Jiangxi, China.

Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China.

出版信息

Front Nutr. 2023 May 9;10:1093438. doi: 10.3389/fnut.2023.1093438. eCollection 2023.

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; < 0.05), whereas each kilogram increase in predicted FM increased the diabetes risk by 84% (HR 1.84, 95%CI 1.26, 2.69; < 0.05). In contrast, predicted LBM and FM were non-linearly associated with diabetes risk in men (all 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.

摘要

目的

目前关于身体成分中脂肪量(FM)和去脂体重(LBM)与糖尿病风险之间的关系存在争议,本研究的目的是探讨预测的FM和LBM与男女糖尿病之间的关联。

方法

本研究是对来自岐阜地区非酒精性脂肪性肝病纵向分析(NAGALA)队列研究的15463名基线血糖正常参与者的数据进行的二次分析。使用基于美国国家健康与营养检查调查(NHANES)数据库为不同性别开发并验证的人体测量预测方程,为每位参与者计算预测的LBM和FM,感兴趣的结局是糖尿病(未区分类型)发病。应用多变量Cox回归分析来估计预测的FM和LBM与糖尿病风险关联的风险比(HRs)和95%置信区间(CIs),并使用受限立方样条函数进一步直观显示它们之间的关联。

结果

在平均6.13年的观察期内,糖尿病的发病密度为3.93/1000人年。在女性中,预测的LBM和FM与糖尿病风险呈线性相关,预测的LBM每增加1千克,糖尿病风险降低65%(HR 0.35,95%CI 0.17,0.71;P<0.05),而预测的FM每增加1千克,糖尿病风险增加84%(HR 1.84,95%CI 1.26,2.69;P<0.05)。相比之下,预测的LBM和FM与男性糖尿病风险呈非线性相关(所有非线性P<0.05),预测的LBM与糖尿病风险之间呈L形关联,使糖尿病风险最小化的饱和点为45.4千克,而预测的FM与糖尿病风险呈U形模式相关,预测的FM相关糖尿病风险最低的阈值点为13.76千克。

结论

在这个亚洲人群队列中,我们发现根据人体测量方程,高LBM和低FM与较低的糖尿病风险相关。基于非线性分析结果,我们认为亚洲男性将LBM保持在45.4千克以上且FM保持在13.76千克左右可能是合适的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de43/10203423/781c2b55f863/fnut-10-1093438-g001.jpg

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