Activities Contributing to Total Energy Expenditure in the United States: Results from the NHAPS Study.

Activities Contributing to Total Energy Expenditure in the United States: Results from the NHAPS Study.
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DOI:
10.1186/1479-5868-1-4
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发表时间:
2004-02-12
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Mandel, Shelly
Mandel, Shelly
中科院分区:
其他
文献类型:
--
作者:
Dong, Linda;Block, Gladys;Mandel, Shelly

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背景:体力活动日益被认为是影响健康和疾病状况的重要因素。总能量消耗,无论是低强度还是高强度,都有助于保持健康的体重。本文介绍了一种定量方法来确定对美国总能源支出有贡献的活动的结果。方法:采用全国人类活动模式调查(NHAPS)数据。在1992-1994年间,NHAPS抽样了4185名女性和3330名男性,年龄在18岁及以上,加权后代表了毗邻的48个美国。获得了在过去24小时内进行的每项活动的详细报告。通过将每个人的持续时间和强度相乘,并对每个人进行求和,为每项活动创建一个分数。然后用这个分数根据每项活动对总样本和每个性别、种族、年龄、地区和季节的总能量消耗的贡献对每项活动进行排名。结果:这项分析显示,我们的社会主要是久坐不动;休闲时间身体活动仅占人口总能量消耗的约5%。不包括睡眠,对能量消耗贡献最大的是“开车”,其次是“办公室工作”和“看电视”。家庭活动分别占男性和女性能量消耗的20.1%和33.3%。结论:本文提供的信息可能有助于确定可作为增加体力活动的行为干预的适当目标的常见活动。
BACKGROUND: Physical activity is increasingly recognized as an important factor influencing health and disease status. Total energy expenditure, both low-intensity and high-intensity, contributes to maintenance of healthy body weight. This paper presents the results of a quantitative approach to determining the activities that contribute to total energy expenditure in the United States. METHODS: Data from the National Human Activity Pattern Survey (NHAPS) were used. In 1992-1994 the NHAPS sampled 4,185 females and 3,330 males, aged 18 years and over, weighted to be representative of the 48 contiguous United States. A detailed report of each activity performed in the previous 24 hours was obtained. A score was created for each activity, by multiplying duration and intensity for each individual and summing across individuals. This score was then used to rank each activity according to its contribution to total population energy expenditure, for the total sample and separately for each gender, race, age, region, and season. RESULTS: This analysis reveals our society to be primarily sedentary; leisure time physical activity contributed only approximately 5% of the population's total energy expenditure. Not counting sleeping, the largest contributor to energy expenditure was "Driving a car", followed by "Office work" and "Watching TV". Household activities accounted for 20.1% and 33.3% of energy expenditure for males and females respectively. CONCLUSION: The information presented in this paper may be useful in identifying common activities that could be appropriate targets for behavioral interventions to increase physical activity.