Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, United States of America.
Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, United States of America.
Prog Cardiovasc Dis. 2020 Mar-Apr;63(2):170-177. doi: 10.1016/j.pcad.2020.02.005. Epub 2020 Feb 12.
Despite its potential to improve metabolic health outcomes, longitudinal physical activity (PA) patterns and their association with cardiometabolic disease among people living with HIV (PLWH) have not been well characterized. We investigated this relationship among PLWH in the Centers for AIDS Research Network of Integrated Clinical Systems with at least one PA self-report between 2008 and 2015. The 4-item Lipid Research Clinics PA instrument was used to categorize habitual PA levels as: Very Low, Low, Moderate, or High. We analyzed demographic differences in PA patterns. Multivariable generalized estimating equation regression models were fit to assess longitudinal associations of PA with blood pressure, lipid, and glucose levels. Logistic regression modeling was used to assess the odds of being diagnosed with obesity, cardiovascular disease (CVD), cerebrovascular disease, hypertension, diabetes, or multimorbidity. A total of 40,462 unique PA assessments were provided by 11,719 participants. Only 13% of PLWH reported High PA, while 68% reported Very Low/Low PA at baseline and did not increase PA levels during the study period. Compared to those reporting High PA, participants with Very Low PA had almost 2-fold increased risk for CVD. Very Low PA was also associated with several risk factors associated with CVD, most notably elevated triglycerides (odds ratio 25.4), obesity (odds ratio 1.9), hypertension (odds ratio 1.4), and diabetes (odds ratio 2.3; all p < 0.01). Low levels of PA over time among PLWH are associated with increased cardiometabolic disease risk.
尽管身体活动(PA)有可能改善代谢健康结果,但 HIV 感染者(PLWH)的纵向 PA 模式及其与心血管代谢疾病的关系尚未得到充分描述。我们在至少有一项 2008 年至 2015 年期间的 PA 自我报告的 AIDS 研究网络综合临床系统中心的 PLWH 中调查了这种关系。使用 4 项脂质研究诊所 PA 仪器将习惯性 PA 水平分类为:非常低、低、中或高。我们分析了 PA 模式的人口统计学差异。多变量广义估计方程回归模型用于评估 PA 与血压、血脂和血糖水平的纵向关联。逻辑回归模型用于评估肥胖、心血管疾病(CVD)、脑血管疾病、高血压、糖尿病或多种疾病的诊断几率。11719 名参与者共提供了 40462 项独特的 PA 评估。只有 13%的 PLWH 报告有高 PA,而 68%的人在基线时报告有非常低/低 PA,并且在研究期间没有增加 PA 水平。与报告高 PA 的参与者相比,报告非常低 PA 的参与者 CVD 的风险几乎增加了两倍。非常低的 PA 也与 CVD 相关的几个风险因素有关,最显著的是甘油三酯升高(比值比 25.4)、肥胖(比值比 1.9)、高血压(比值比 1.4)和糖尿病(比值比 2.3;所有 p<0.01)。PLWH 随着时间的推移,PA 水平低与增加的心血管代谢疾病风险相关。