1 Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center , Nashville, Tennessee.
J Womens Health (Larchmt). 2014 Feb;23(2):159-67. doi: 10.1089/jwh.2013.4456. Epub 2013 Oct 29.
Leisure time exercise has been linked to lower circulating levels of inflammatory markers. Few studies have examined the association of nonexercise physical activity with markers of inflammation and oxidative stress.
This cross-sectional analysis included 1005 Chinese women aged 40-70 years. Usual physical activity was assessed through in-person interviews using a validated physical activity questionnaire. Plasma proinflammatory cytokines and urinary F2-isoprostanes were measured. Multivariable linear models were used to evaluate the association of inflammatory and oxidative stress markers with nonexercise physical activity and its major components.
Nonexercise physical activity accounted for 93.8% of overall physical activity energy expenditure. Levels of nonexercise physical activity were inversely associated with circulating concentrations of interleukin (IL)-6 (Ptrend=0.004), IL-1β (Ptrend=0.03) and tumor necrosis factor-alpha (TNF-α) (Ptrend=0.01). Multivariable-adjusted concentrations of these cytokines were 28.2% for IL-6, 22.1% for IL-1β, and 15.9% for TNF-α lower in the highest quartile of nonexercise physical activity compared with the lowest quartile. Similar inverse associations were found for two major components of nonexercise physical activity, walking and biking for transportation, and household activity. No significant associations were observed between nonexercise physical activity and oxidative stress markers.
Daily nonexercise physical activity is associated with lower levels of systemic inflammation. This finding may have important public health implications because this type of activity is the main contributor to overall physical activity among middle-aged and elderly women.
休闲时间运动与循环中炎症标志物水平降低有关。很少有研究检查非运动身体活动与炎症和氧化应激标志物的关联。
本横断面分析包括 1005 名年龄在 40-70 岁的中国女性。通过使用经过验证的体力活动问卷进行面对面访谈来评估习惯性体力活动。测量血浆促炎细胞因子和尿 F2-异前列腺素。使用多变量线性模型评估炎症和氧化应激标志物与非运动身体活动及其主要成分的关联。
非运动身体活动占总身体活动能量消耗的 93.8%。非运动身体活动水平与循环中白细胞介素(IL)-6(Ptrend=0.004)、IL-1β(Ptrend=0.03)和肿瘤坏死因子-α(TNF-α)(Ptrend=0.01)的浓度呈负相关。多变量调整后的这些细胞因子浓度在非运动身体活动最高四分位数与最低四分位相比,分别降低了 28.2%、22.1%和 15.9%。非运动身体活动的两个主要成分,步行和骑自行车作为交通工具,以及家庭活动,也发现了类似的负相关关系。非运动身体活动与氧化应激标志物之间没有显著关联。
日常非运动身体活动与全身炎症水平降低有关。这一发现可能具有重要的公共卫生意义,因为这种类型的活动是中年和老年女性总体身体活动的主要贡献者。