Department of Medicine, Weill Cornell Medical College, New York.
Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
AIDS. 2018 Jul 31;32(12):1643-1650. doi: 10.1097/QAD.0000000000001873.
The aim of this study was to determine the associations between visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT) mass with homeostatic model assessment-insulin resistance (HOMA-IR) and incidence of diabetes mellitus in women with and without HIV infection.
Cross-sectional design for associations between abdominal fat and HOMA-IR; longitudinal design for associations between abdominal fat and incident diabetes.
We assessed associations between dual X-ray absorptiometry scan-derived VAT and SAT with HOMA-IR in a subsample from the Women's Interagency HIV Study (n = 226 with and n = 100 without HIV) using linear regression. We evaluated associations of VAT, SAT and HOMA-IR with incident diabetes mellitus using Cox proportional hazards models.
VAT mass was positively associated with log HOMA-IR in fully adjusted linear regression models stratified by HIV serostatus, including adjustment for SAT. During median follow-up of 10.6 years, incidence of diabetes was 1.63 [95% confidence interval (95% CI) 1.15-2.31] and 1.32 [95% CI 0.77-2.28] cases per 100 person-years in women with and without HIV (P = 0.52). In a fully adjusted model, baseline VAT (hazard ratio 2.64 per kg; 95% CI 1.14-6.12; P = 0.023) and SAT (hazard ratio 1.34 per kg; 95% CI 0.73-2.45; P = 0.35) were associated with incident diabetes, but the latter was not statistically significant.
VAT mass was independently associated with HOMA-IR in women with and without HIV and was independently associated with future development of diabetes.
本研究旨在确定内脏脂肪组织(VAT)和腹部皮下脂肪组织(SAT)与稳态模型评估-胰岛素抵抗(HOMA-IR)以及 HIV 感染者和非感染者发生糖尿病之间的关联。
腹部脂肪与 HOMA-IR 之间关联的横截面设计;腹部脂肪与新发糖尿病之间关联的纵向设计。
我们使用线性回归评估了女性艾滋病病毒研究机构间(Women's Interagency HIV Study,WISN)子样本中双能 X 线吸收法(dual X-ray absorptiometry scan)扫描得出的 VAT 和 SAT 与 HOMA-IR 之间的关联(n=226 例 HIV 感染者和 n=100 例非 HIV 感染者)。我们使用 Cox 比例风险模型评估了 VAT、SAT 和 HOMA-IR 与新发糖尿病之间的关联。
在按 HIV 血清学状况分层的完全调整线性回归模型中,VAT 质量与 log HOMA-IR 呈正相关,包括对 SAT 的调整。在中位随访 10.6 年期间,HIV 感染者和非感染者的糖尿病发病率分别为每 100 人年 1.63 例(95%置信区间 95%CI 1.15-2.31)和 1.32 例(95%CI 0.77-2.28)(P=0.52)。在完全调整模型中,基线 VAT(风险比 2.64 每 kg;95%CI 1.14-6.12;P=0.023)和 SAT(风险比 1.34 每 kg;95%CI 0.73-2.45;P=0.35)与新发糖尿病相关,但后者无统计学意义。
VAT 质量与 HIV 感染者和非感染者的 HOMA-IR 独立相关,并且与未来发生糖尿病独立相关。