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身体活动与久坐时间与血细胞计数的关系:2003-2006 年国家健康与营养调查。

Association of physical activity and sedentary time with blood cell counts: National Health and Nutrition Survey 2003-2006.

机构信息

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.

Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America.

出版信息

PLoS One. 2018 Sep 25;13(9):e0204277. doi: 10.1371/journal.pone.0204277. eCollection 2018.

DOI:10.1371/journal.pone.0204277
PMID:30252884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6155506/
Abstract

OBJECTIVE

To assess the association of objectively measured levels of physical activity and sedentary time with major blood cell counts (e.g. white blood cells, red blood cells, platelets) among adults.

METHODS

Data collected from the 2003-2004 and 2005-2006 cycles of the National Health and Nutrition Examination Survey (NHANES) was used to assess blood cell counts in relation to objectively measured physical activity and sedentary time (accelerometer). A series of linear regressions modes were used to assess these associations adjusting for a range of factors known to be associated with blood cell counts, including age, body mass index, dietary factors, and previous infections.

RESULTS

Higher levels of moderate-vigorous physical activity (ptrend<0.001) and lower sedentary time (ptrend = 0.040) were associated with lower white blood cell counts.

CONCLUSION

These results suggest that modifiable health behaviors, such as physical activity and sedentary time, may be associated with inflammatory status through white blood cell counts, which may be important for future disease risk.

摘要

目的

评估成年人中身体活动和久坐时间的客观测量水平与主要血细胞计数(如白细胞、红细胞、血小板)之间的关系。

方法

使用 2003-2004 年和 2005-2006 年全国健康和营养调查(NHANES)的数据,评估与客观测量的身体活动和久坐时间(加速度计)相关的血细胞计数。使用一系列线性回归模型,在调整了与血细胞计数相关的一系列已知因素(包括年龄、体重指数、饮食因素和既往感染)后,评估这些关联。

结果

较高水平的中高强度体力活动(ptrend<0.001)和较低的久坐时间(ptrend=0.040)与较低的白细胞计数相关。

结论

这些结果表明,可改变的健康行为,如身体活动和久坐时间,可能通过白细胞计数与炎症状态相关,这对于未来的疾病风险可能很重要。

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