Department of Biostatistics, Christian Medical College, Vellore, India.
Department of Clinical Biochemistry, Christian Medical College, Vellore, India.
Int J Obes (Lond). 2021 Nov;45(11):2490-2498. doi: 10.1038/s41366-021-00923-1. Epub 2021 Jul 30.
To examine the associations of total and regional adiposity with metabolic and cardiovascular disease (CVD) risk markers.
This cross-sectional study included 1080 (53.8% men, aged 39-44 years) individuals from South India. Anthropometry (height, weight, waist and hip circumference), body composition assessment using dual-energy X-ray absorptiometry (DXA), blood pressure (BP), and plasma glucose, insulin and lipids were measured. Regression analysis was used to examine associations of standardized fat measurements with type 2 diabetes (T2D), insulin resistance (IR), hypertension and hypertriglyceridemia and continuous measurements of BP, glucose, insulin, HOMA-IR and lipids. Contour plots were constructed to visualize the differential effect of upper and lower fat depots.
DXA-measured fat depots were positively associated with metabolic and CVD risk markers. After adjusting for fat mass index, upper body fat remained positively, while lower body fat was negatively associated with risk markers. A one standard deviation (SD) increase in android fat showed higher odds ratios (ORs) for T2D (6.59; 95% CI 3.17, 13.70), IR (4.68; 95% CI 2.31, 9.50), hypertension (2.57; 95% CI 1.56, 4.25) and hypertriglyceridemia (6.39; 95% CI 3.46, 11.90) in men. A 1 SD increase in leg fat showed a protective effect with ORs for T2D (0.42; 95% CI 0.24, 0.74), IR (0.31; 95% CI 0.17, 0.57) and hypertriglyceridemia (0.61; 95% CI 0.38, 0.98). The magnitude of the effect was greater with DXA-measured fat compared with anthropometry.
At any level of total body fat, upper and lower body fat depots demonstrate opposite risk associations with metabolic and CVD risk markers in Asian Indians.
研究全身性和局部肥胖与代谢和心血管疾病(CVD)风险标志物的相关性。
本横断面研究纳入了来自印度南部的 1080 名个体(53.8%为男性,年龄 39-44 岁)。测量人体测量学(身高、体重、腰围和臀围)、使用双能 X 射线吸收法(DXA)进行的身体成分评估、血压(BP)和血浆葡萄糖、胰岛素和脂质。回归分析用于检查标准化脂肪测量值与 2 型糖尿病(T2D)、胰岛素抵抗(IR)、高血压和高甘油三酯血症以及 BP、葡萄糖、胰岛素、HOMA-IR 和脂质的连续测量值之间的相关性。构建等高线图以可视化上下脂肪储量的差异效应。
DXA 测量的脂肪储量与代谢和 CVD 风险标志物呈正相关。在校正脂肪质量指数后,上半身脂肪仍然与风险标志物呈正相关,而下半身脂肪与风险标志物呈负相关。安卓脂肪的一个标准差(SD)增加显示出更高的 T2D(6.59;95%置信区间 3.17, 13.70)、IR(4.68;95%置信区间 2.31, 9.50)、高血压(2.57;95%置信区间 1.56, 4.25)和高甘油三酯血症(6.39;95%置信区间 3.46, 11.90)的比值比(OR)。腿部脂肪的一个 SD 增加显示出保护作用,T2D(0.42;95%置信区间 0.24, 0.74)、IR(0.31;95%置信区间 0.17, 0.57)和高甘油三酯血症(0.61;95%置信区间 0.38, 0.98)的 OR 值降低。与人体测量相比,DXA 测量的脂肪的影响幅度更大。
在全身脂肪的任何水平上,上半身和下半身脂肪储备与亚洲印度人的代谢和 CVD 风险标志物表现出相反的风险相关性。