体重指数对长期血压变异性的影响：一项对中国成年人队列的横断面研究。
Impact of body mass index on long-term blood pressure variability: a cross-sectional study in a cohort of Chinese adults.
机构信息
Shantou University Medical College, Shantou, Guangdong, China.
Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
出版信息
BMC Public Health. 2018 Oct 22;18(1):1193. doi: 10.1186/s12889-018-6083-4.
BACKGROUND
Obesity and overweight are related to changes in blood pressure, but existing research has mainly focused on the impact of body mass index (BMI) on short-term blood pressure variability (BPV). The study aimed to examine the impact of BMI on long-term BPV.
METHODS
Participants in the Kailuan study who attended all five annual physical examinations in 2006, 2008, 2010, 2012, and 2014 were selected as observation subjects. In total, 32,482 cases were included in the statistical analysis. According to the definition of obesity in China, BMI was divided into four groups: underweight (BMI < 18.5 kg/m), normal weight (18.5 ≤ BMI < 24.0 kg/m), overweight (24.0 ≤ BMI < 28.0 kg/m), and obese (BMI ≥ 28.0 kg/m). We used average real variability to evaluate long-term systolic BPV. The average real variability of systolic blood pressure (ARV) was calculated as (|sbp2 - sbp1| + |sbp3 - sbp2 | + |sbp4 - sbp3| + |sbp5 - sbp4|)/4. Differences in ARV by BMI group were analyzed using analysis of variance. Stepwise multivariate linear regression and multiple logistic regression analyses were used to assess the impact of BMI on ARV.
RESULTS
Participants' average age was 46.6 ± 11.3 years, 24,502 were men, and 7980 were women. As BMI increases, the mean value of ARVSBP gradually increases. After adjusting for other confounding factors, stepwise multivariate linear regression analysis showed that ARVSBP increased by 0.077 for every one-unit increase in BMI. Multiple logistic regression analysis indicated that being obese or overweight, compared with being normal-weight, were risk factors for an increase in ARVSBP. The corresponding odds ratios of being obese or overweight were 1.23 (1.15-1.37) and 1.10 (1.04-1.15), respectively.
CONCLUSIONS
There was a positive correlation between BMI and ARVSBP, with ARVSBP increasing with a rise in BMI. BMI is a risk factor for an increase in ARVSBP.
TRIAL REGISTRATION
Registration No.: CHiCTR-TNC1100 1489 ; Registration Date: June 01, 2006.
背景
肥胖和超重与血压变化有关，但现有研究主要集中在体重指数（BMI）对短期血压变异性（BPV）的影响上。本研究旨在探讨 BMI 对长期 BPV 的影响。
方法
选择 2006 年、2008 年、2010 年、2012 年和 2014 年参加全部 5 次年度体检的开滦研究参与者作为观察对象。共纳入 32482 例进行统计分析。根据中国肥胖定义，BMI 分为四组：体重不足（BMI<18.5kg/m）、正常体重（18.5≤BMI<24.0kg/m）、超重（24.0≤BMI<28.0kg/m）和肥胖（BMI≥28.0kg/m）。我们使用平均真实变异性来评估长期收缩压 BPV。收缩压的平均真实变异性（ARV）计算为（|sbp2-sbp1|+|sbp3-sbp2|+|sbp4-sbp3|+|sbp5-sbp4|）/4。采用方差分析比较 BMI 组 ARV 的差异。采用逐步多元线性回归和多元逻辑回归分析评估 BMI 对 ARV 的影响。
结果
参与者的平均年龄为 46.6±11.3 岁，其中 24502 名男性，7980 名女性。随着 BMI 的增加，ARVSBP 的平均值逐渐增加。在调整其他混杂因素后，逐步多元线性回归分析显示，BMI 每增加一个单位，ARVSBP 增加 0.077。多元逻辑回归分析表明，肥胖或超重与正常体重相比，是 ARVSBP 增加的危险因素。肥胖或超重的相应比值比分别为 1.23（1.15-1.37）和 1.10（1.04-1.15）。
结论
BMI 与 ARVSBP 呈正相关，随着 BMI 的增加，ARVSBP 也随之增加。BMI 是 ARVSBP 增加的危险因素。
试验注册
注册号：CHiCTR-TNC11001489；注册日期：2006 年 6 月 1 日。
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