Department of Cardiology, the First Hospital of Hebei Medical University, No.89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Peking University Health Science Center, Peking University, Beijing, 100191, China.
Lipids Health Dis. 2024 Nov 19;23(1):383. doi: 10.1186/s12944-024-02370-z.
Obesity and overweight, as determined by the body mass index (BMI), are harmful to metabolic health. However, the BMI can not reflect body composition or fat distribution. The fat-free mass index (FFMI) and the fat mass index (FMI) can provide more information on body composition. The aim of the observational research was to determine whether the FMI and the FFMI are significantly associated with the risk of developing diabetes and prediabetes.
The investigators included data for 10,085 National Health and Nutrition Examination Survey (2011-2018) participants aged over 20 years who underwent dual-energy X-ray absorptiometry (DXA). The FFMI and the FMI were determined based on total fat mass and lean mass measured by DXA. Diabetes and prediabetes status were determined by medical history and laboratory examination. Logistic regression analyses were performed to explore the correlations between the FMI/FFMI and the risk of developing diabetes/prediabetes. Restricted cubic spline analysis was used to explore underlying nonlinear associations.
In the present study, 1,135 patients were diagnosed with diabetes, 3,258 had prediabetes, and 5,692 were classified as control participants. The FFMI (odds ratio (OR) = 1.10, 95% confidence interval (CI) = 1.04-1.16) and the FMI (OR = 1.08, 95% CI = 1.04-1.12) were independently related to an increased risk of developing diabetes. Moreover, the FFMI (OR 1.08, 95% CI 1.02-1.16) and the FMI (OR 1.07, 95% CI 1.02-1.13) also independently correlated with a rising risk of developing prediabetes. The restricted cubic spline (RCS) outcomes suggested that the associations are approximately linear.
Both the FMI and the FFMI significantly correlated with the danger of developing diabetes and prediabetes, and the correlations are approximately linear.
体重指数（BMI）所确定的肥胖和超重对代谢健康有害。然而，BMI 并不能反映身体成分或脂肪分布。去脂体重指数（FFMI）和脂肪质量指数（FMI）可以提供更多有关身体成分的信息。本观察性研究旨在确定 FMI 和 FFMI 是否与糖尿病和糖尿病前期的发病风险显著相关。
研究人员纳入了参加 2011-2018 年全国健康和营养调查（NHANES）且年龄超过 20 岁的 10085 名参与者的数据，这些参与者均接受了双能 X 射线吸收法（DXA）检查。FFMI 和 FMI 是根据 DXA 测量的总脂肪量和瘦体重确定的。糖尿病和糖尿病前期的状况通过病史和实验室检查确定。采用 logistic 回归分析探讨 FMI/FFMI 与发生糖尿病/糖尿病前期风险之间的相关性。采用受限立方样条分析探讨潜在的非线性关联。
本研究中，有 1135 例患者被诊断为糖尿病，3258 例患有糖尿病前期，5692 例为对照组。FFMI（比值比（OR）=1.10，95%置信区间（CI）=1.04-1.16）和 FMI（OR=1.08，95%CI=1.04-1.12）与发生糖尿病的风险增加独立相关。此外，FFMI（OR 1.08，95%CI 1.02-1.16）和 FMI（OR 1.07，95%CI 1.02-1.13）也与发生糖尿病前期的风险增加独立相关。受限立方样条（RCS）结果表明，这些关联大致呈线性。
FMI 和 FFMI 与发生糖尿病和糖尿病前期的危险显著相关，且相关性大致呈线性。
