Dose-response association between physical activity and clustering of modifiable cardiovascular risk factors among 26,093 Chinese adults
Dose-response association between physical activity and clustering of modifiable cardiovascular risk factors among 26,093 Chinese adults
复制标题
26,093 名中国成年人体力活动与可改变心血管危险因素聚类之间的剂量反应关系
DOI：
10.1186/s12872-020-01627-6
复制
发表时间：
2020-07-25
影响因子：
2.1
通讯作者：
Yu, Dahai
中科院分区：
文献类型：
--
作者：
Shi, Rui;Cai, Yamei;Yu, Dahai
背景
在中国成年人中，总体体力活动水平与心血管疾病可改变危险因素（CVDMRF）聚集之间的剂量-反应关系尚不确定。本研究检验了中国成年人总体体力活动水平与CVDMRF聚集性之间是否存在反向剂量反应相关性的假设。
方法
2011年至2013年期间，在南京和合肥进行了两项独立调查，从随机选择的家庭中招募了26093名中国成年参与者，提供了吸烟，血糖，血脂，人体测量和血压测量。应用逻辑回归模型检查总体体力活动（通过代谢当量任务（MET）-每周分钟数测量）与≥1、≥2和≥ 3 CVDMRF（血脂异常、高血压、糖尿病、吸烟和超重）之间的剂量-反应相关性。
结果
确定了体力活动与CVDMRF聚集之间的反向线性剂量-反应关系，因为体力活动水平增加与CVDMRF聚集几率降低相关。经校正的比值比中度体力活动组和高体力活动组CVRF ≥1、≥2和≥ 3的95%置信区间为0.88（0.79 ~ 0.98）和0.88（0.79 ~ 0.99）、0.85（0.78 ~ 0.92）和0.85（0.78 ~ 0.92）、0.84（0.76 ~ 0.91）和0.81（0.74 ~ 0.89）。
结论
在中国成年人中，体力活动水平与CVDMRF聚集性呈负相关，尤其是在35-54岁的人群中。应提倡健康促进，包括增加体力活动。体力活动在CVDMRF聚集中的潜在作用需要进一步验证。
Background
There is uncertain evidence in the dose-response association between overall physical activity levels and clustering of cardiovascular diseases modifiable risk factors (CVDMRF) in Chinese adults. This study examined the hypothesis whether inverse dose-response association between overall physical activity levels and clustering of CVDMRF in Chinese adults exist.
Methods
Twenty-six thousand ninety-three Chinese adult participants were recruited by two independent surveys in Nanjing and Hefei during 2011 to 2013, from random selected households provided smoking, glucose, lipids, anthropometric, and blood pressure measurements. Logistic regression model was applied to examine the dose-response association between overall physical activity (measured by metabolic equivalent task (MET)- minutes per week) and having ≥1, ≥2, and ≥ 3 CVDMRF (dyslipidemia, hypertension, diabetes, cigarette smoking, and overweight).
Results
An inverse linear dose-response relationship between physical activity and clustering of CVDMRF was identified, as increased physical activity levels are associated with lower odds of having clustering of CVDMRF. The adjusted odds ratio (95% confidence interval) of having ≥1, ≥2, and ≥ 3 CVRF for moderate physical activity group and high physical activity group was 0.88 (0.79 to 0.98) and 0.88 (0.79 to 0.99), 0.85 (0.78 to 0.92) and 0.85 (0.78 to 0.92), 0.84 (0.76 to 0.91) and 0.81 (0.74 to 0.89), respectively, with low physical activity as reference group.
Conclusions
Among Chinese adults, physical activity level inversely associates with clustering of CVDMRF, especially in those aged 35–54 years. Health promotion including improve physical activity should be advocated. The potential role of physical activity in the clustering of CVDMRF warrants further validation.