Sports Science Institute, Shanxi University, Taiyuan, 030006, Shanxi, China.
School of Physical Education, Shanxi University, No. 92 Wucheng Road, Taiyuan, 030006, Shanxi, China.
Environ Sci Pollut Res Int. 2021 Jun;28(23):29742-29754. doi: 10.1007/s11356-021-12698-z. Epub 2021 Feb 10.
Hypertension is reported to be associated with air pollution and physical activity (PA), and they have different or even conflicting effects on blood pressure (BP). The study evaluated the combined effects of PM2.5 exposure duration and physical activity intensity on systolic blood pressure (SBP) and diastolic blood pressure (DBP) of hypertension. A total of 2613 patients (≥18-year-olds) at baseline who attended surveys from the China Health and Nutrition Survey (2011-2015) in Beijing were selected, as well as the PM2.5 data collected in the same period. The mixed linear effects model and multivariate analysis of variance (MANOVA) were used to explore the multiple effects of PM2.5 exposure duration and PA intensity on SBP and DBP, respectively. The correlation results indicated PM2.5 exposure duration (>15 days) occurred more significant correlations with DBP and longer PM2.5 exposures duration (>60 day) with SBP. The mixed linear effects model showed the important random terms of gender, PA levels, and BMI classification for both SBP and DBP. It also indicated the significant fixed effect from age for both SBP and DBP, and the significant fixed effects from PM2.5 and weight, as well as the interaction in DBP. The random effects of PA levels put effects on different weight people for SBP and on different age people for DBP, while the person of SBP exposed to PM2.5 environments may tend to be affected by BMI classification. The model's main effects showed PA and the interaction with gender could put significant effects on BP. The gender effects and the PA level effects were also improved by the MANOVA results. We concluded that the more PM2.5 exposure duration may lead to more significant correlation with higher BP values. The PA levels could lead to the different effects on the health showing the variations in age, gender, and BMI classification. For SBP of people who are exposed to PM2.5 environments, it may tend to be affected by BMI classification, which also may influence the DBP through weight adjusting first and then cause hypertension. The gender difference of BP may be affected by PA showing the higher PA level and the more gender difference.
高血压与空气污染和身体活动(PA)有关,它们对血压(BP)的影响不同甚至相互矛盾。本研究评估了 PM2.5 暴露时间和身体活动强度对高血压患者收缩压(SBP)和舒张压(DBP)的综合影响。从中国健康与营养调查(2011-2015 年)中选择了 2613 名基线时年龄≥18 岁的患者,以及同期收集的 PM2.5 数据。使用混合线性效应模型和多变量方差分析(MANOVA)分别探讨了 PM2.5 暴露时间和 PA 强度对 SBP 和 DBP 的多重影响。相关性结果表明,PM2.5 暴露时间(>15 天)与 DBP 的相关性更为显著,而较长的 PM2.5 暴露时间(>60 天)与 SBP 的相关性更为显著。混合线性效应模型显示了性别、PA 水平和 BMI 分类对 SBP 和 DBP 的重要随机项。它还表明年龄对 SBP 和 DBP 有显著的固定效应,PM2.5 和体重以及 DBP 的交互作用有显著的固定效应。PA 水平的随机效应对不同体重的人对 SBP 的影响,以及对不同年龄的人对 DBP 的影响,而暴露于 PM2.5 环境的 SBP 人的 BMI 分类可能更容易受到影响。模型的主要效应表明,PA 与性别之间的相互作用对 BP 有显著影响。MANOVA 结果也提高了性别效应和 PA 水平效应。我们得出结论,PM2.5 暴露时间越长,与更高的 BP 值的相关性越显著。PA 水平可能会导致不同的健康影响,表现为年龄、性别和 BMI 分类的差异。对于暴露于 PM2.5 环境的人的 SBP,它可能更容易受到 BMI 分类的影响,这可能首先通过体重调节来影响 DBP,然后导致高血压。BP 的性别差异可能受到 PA 的影响,表现为 PA 水平越高,性别差异越大。