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| 中年健康人群体力活动与血脂水平关系的横断面研究 |
| 胡泊1*,刘晓宇2,郭春月1,许春杰1,范红敏1,尹素凤1,冯福民1,袁聚祥1 |
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(1. 华北理工大学公共卫生学院, 河北省煤炭行业职业健康与安全重点实验室, 唐山 063000;
2. 华北理工大学附属开滦总医院呼吸内科, 唐山 063000
*通信作者) |
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| 摘要: |
| 目的 探讨体力活动对血脂水平的影响, 寻找有益于改善血脂紊乱的运动水平。 方法 采用整群抽样的方法收集40~60岁的个体进入研究。体力活动的测量采用国际体力活动问卷。将资料定性分成低、中、高3个等级。在空腹血样中检测血脂水平, 并收集影响血脂的其他因素。应用非条件logistic回归探讨体力活动与血脂的关系。 结果 共5 664例(男性38.37%)个体进入研究。低、中、高体力活动所占比例分别为9.99%(566/5 664)、44.79%(2 537/5 664)和45.22%(2 561/5 664)。与低体力活动相比, 高体力活动可降低血脂紊乱的风险, 风险比及95%可信区间为0.83 (0.71, 0.98)。未发现中体力活动对血脂的影响。高体力活动主要影响高密度脂蛋白胆固醇和三酰甘油的改变。 结论 在中年人群中, 与低体力活动相比, 高体力活动可降低血脂紊乱的风险。 |
| 关键词: 体力活动 血脂异常 横断面研究 logistic模型 |
| DOI：10.16781/j.0258-879x.2016.03.0383 |
| 投稿时间：2015-10-16修订日期：2015-12-18 |
| 基金项目:华北理工大学培育基金(SP201505). |
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| Relationship between physical activity and lipid profile in healthy middle-aged Chinese population: a cross-sectional study |
| HU Bo1*,LIU Xiao-yu2,GUO Chun-yue1,XU Chun-jie1,FAN Hong-min1,YIN Su-feng1,FENG Fu-min1,YUAN Ju-xiang1 |
(1. School of Public Health, North China University of Sicence and Technology, Key Laboratory of Occupational Health and Safety for Coal Industry of Hebei Province, Tangshan 063000, Hebei, China;
2. Department of Respiratory Diseases, Kailuan General Hospital Affiliated to North China University of Sicence and Technology, Tangshan 063000, Hebei, China
*Corresponding author) |
| Abstract: |
| Objective To explore the effects of physical activity (PA) on lipid profile and identify the optimal intensity of PA that improves dyslipidemia. Methods Community-based individuals aged 40-60 years old were recruited by a cluster sampling method. PA was estimated using the International Physical Activity Questionnaire, and PA levels of individuals were classified as low, moderate, or high. Lipid profiles were measured by using fasting blood samples, and the potential confounding variables related to lipid profiles were comprehensively collected. Unconditional logistic regression method was used to investigate the relationship of PA with lipid profiles. Results A total of 5 664 subjects (38.37% men) were included in this study. The percentages of individuals with low, moderate and high PA levels were 9.99% (566/5 664), 44.79%(2 537/5 664) and 45.22%(2 561/5 664), respectively. High PA could reduce the risk of dyslipidemia, with an odds ratio (OR) of 0.83 (95% confidence interval [CI]: 0.71-0.98) for dyslipidemia compared to low PA, while the association was not found for moderate PA. High level PA mainly influenced the high-density lipoprotein cholesterol and triglycerides. Conclusion High level PA, compared with low level, can reduce the risk of dyslipidemia in middle-aged Chinese population. |
| Key words: physical activity dyslipidemias cross-sectional studies logistic models |
