Dept. of Community Health and Epidemiology, Dalhousie University, Canada.
Dept. of Medicine, Dalhousie University, Canada.
Respir Med. 2017 Oct;131:199-204. doi: 10.1016/j.rmed.2017.08.030. Epub 2017 Sep 1.
Decreased lung function has health impacts beyond diagnosable lung disease. It is therefore important to understand the factors that may influence even small changes in lung function including obesity, physical fitness and physical activity. The aim of this study was to determine the anthropometric measure most useful in examining the association with lung function and to determine how physical activity and physical fitness influence this association.
The current study used cross-sectional data on 4662 adults aged 40-79 years from the Canadian Health Measures Survey Cycles 1 and 2. Linear regression models were used to examine the association between the anthropometric and lung function measures (forced expiratory volume in 1 s [FEV] and forced vital capacity [FVC]); R values were compared among models. Physical fitness and physical activity terms were added to the models and potential confounding was assessed.
Models using sum of 5 skinfolds and waist circumference consistently had the highest R values for FEV and FVC, while models using body mass index consistently had among the lowest R values for FEV and FVC and for men and women. Physical activity and physical fitness were confounders of the relationships between waist circumference and the lung function measures. Waist circumference remained a significant predictor of FVC but not FEV after adjustment for physical activity or physical fitness.
Waist circumference is an important predictor of lung function. Physical activity and physical fitness should be considered as potential confounders of the relationship between anthropometric measures and lung function.
肺功能下降除了与可诊断的肺部疾病有关外,还会对健康产生影响。因此,了解可能影响肺功能微小变化的因素很重要,这些因素包括肥胖、身体健康和身体活动。本研究的目的是确定在检查与肺功能的关联中最有用的人体测量指标,并确定身体活动和身体健康如何影响这种关联。
本研究使用了来自加拿大健康测量调查周期 1 和 2 的 4662 名 40-79 岁成年人的横断面数据。线性回归模型用于检查人体测量和肺功能指标(1 秒用力呼气量 [FEV]和用力肺活量 [FVC])之间的关联;比较了模型之间的 R 值。向模型中添加了身体健身和身体活动的术语,并评估了潜在的混杂因素。
使用 5 个皮褶厚度和腰围总和的模型始终具有 FEV 和 FVC 的最高 R 值,而使用身体质量指数的模型始终具有最低的 FEV 和 FVC 的 R 值,并且对男性和女性都是如此。身体活动和身体健康是腰围与肺功能指标之间关系的混杂因素。在调整身体活动或身体健身后,腰围仍然是 FVC 的重要预测因子,但不是 FEV 的预测因子。
腰围是肺功能的重要预测因子。身体活动和身体健康应被视为人体测量指标与肺功能之间关系的潜在混杂因素。