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按职业分类划分的美国成年人日常身体活动情况:2005 - 2006年美国国家健康和营养检查调查(NHANES)

Daily Physical Activity by Occupational Classification in US Adults: NHANES 2005-2006.

作者信息

Steeves Jeremy A, Tudor-Locke Catrine, Murphy Rachel A, King George A, Fitzhugh Eugene C, Bassett David R, Van Domelen Dane, Schuna John M, Harris Tamara B

出版信息

J Phys Act Health. 2018 Dec 1;15(12):900-911. doi: 10.1123/jpah.2017-0465.

DOI:10.1123/jpah.2017-0465
PMID:30453820
Abstract

BACKGROUND

Little is known about the daily physical activity (PA) levels of people employed in different occupational categories.

METHODS

Nine ActiGraph accelerometer-derived daily PA variables are presented and ranked for adults (N = 1465, 20-60 y) working in the 22 occupational categories assessed by NHANES 2005-2006. A composite score was generated for each occupational category by summing the rankings of 3 accelerometer-derived daily PA variables known to have strong associations with health outcomes (total activity counts [TAC], moderate to vigorous PA minutes per week in modified 10-minute bouts [MVPA 10], and percentage of time spent in sedentary activity [SB%]).

RESULTS

Classified as high-activity occupational categories, "farming, fishing, forestry," and "building & grounds cleaning, maintenance" occupations had the greatest TAC (461 996 and 449 452), most MVPA 10 (149.6 and 97.8), most steps per day (10 464 and 11 602), and near the lowest SB% (45.2% and 45.4%). "Community, social services" occupations, classified as low-activity occupational categories, had the second lowest TAC (242 085), least MVPA 10 (12.1), fewest steps per day (5684), and near the highest SB% (64.2%).

CONCLUSIONS

There is a strong association between occupational category and daily activity levels. Objectively measured daily PA permitted the classification of the 22 different occupational categories into 3 activity groupings.

摘要

背景

对于从事不同职业类别的人群的日常身体活动(PA)水平,我们了解甚少。

方法

针对2005 - 2006年美国国家健康与营养检查调查(NHANES)评估的22个职业类别中的成年人(N = 1465,20 - 60岁),给出并排列了9个由ActiGraph加速度计得出的每日PA变量。通过对3个已知与健康结果有强关联的由加速度计得出的每日PA变量的排名求和,为每个职业类别生成一个综合分数(总活动计数[TAC]、每周以10分钟为单位的中等至剧烈PA分钟数[MVPA 10]以及久坐活动时间占比[SB%])。

结果

被归类为高活动职业类别的“农业、渔业、林业”和“建筑及场地清洁、维护”职业,其TAC最高(分别为461996和449452),MVPA 10最多(分别为149.6和97.8),每日步数最多(分别为10464和11602),且SB%接近最低(分别为45.2%和45.4%)。被归类为低活动职业类别的“社区、社会服务”职业,其TAC第二低(242085),MVPA 10最少(12.1),每日步数最少(5684),且SB%接近最高(64.2%)。

结论

职业类别与日常活动水平之间存在很强的关联。客观测量的每日PA使得能够将22个不同职业类别分为3个活动分组。

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