Daily metabolic expenditures: estimates from US, UK and Polish time-use data
Daily metabolic expenditures: estimates from US, UK and Polish time-use data
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DOI：
10.1186/s12889-019-6762-9
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发表时间：
2019-06-03
影响因子：
4.5
通讯作者：
Gershuny, Jonathan
中科院分区：
文献类型：
--
作者：
Harms, Teresa;Berrigan, David;Gershuny, Jonathan
背景行为具有不同的经济、社会和健康后果。链接的时间花费在不同的日常活动的能量消耗（EE）是一种方式，调查的健康和生理后果的行为和确定目标，以改善人口的健康和welling.MethodsWe估计的行为相关EE的受访者时间使用调查（TUS）从三个国家：英国2001年，波兰2012年和美国2003-13。协调的多国时间使用调查（MTUS）活动类别与2011年体育活动简编中的MET估计数相匹配。我们将MET值与TUS中的每个连续活动以及英国、波兰和美国的原始活动分类和68类MTUS活动分类相结合。我们使用TUS估计的活动持续时间在24小时内估计的体力活动水平（PAL）的受访者从这三个国家和平均花费的时间和MET值为不同的活动category.ResultsPAL值范围从1.59在美国到1.74在波兰。巴勒斯坦权力机构每日能源效率的主要来源是有偿和无偿工作活动。自主性PA仅占成人每日能量消耗的很小一部分（约3%）。使用协调的MTUS 68-活动分类将总PAEE测量的变异性降低了20%，但关键人口统计学（年龄，性别，教育程度）之间的关联模式不受影响。TUS数据进一步用于（1）确定每日PA的来源，以及（2）评估单日对身体活动指南（PAG）的遵守情况。估计的遵守水平是类似的报告从其他TUS以及频率为基础的estimation.ConclusionsComparative研究的能量消耗的基础上协调的时间使用活动类别可以提供洞察不同的活动，在不同的国家和人口群体的能量消耗的相对重要性。然而，需要进行新的观察性研究，将TUS数据与加速度计、直接观察和其他活动强度测量相结合，以便更准确地将MET分配给TUS中的活动类别。
BackgroundBehaviour has diverse economic, social and health consequences. Linking time spent in different daily activities to energy expenditure (EE) is one way of investigating the health and physiological consequences of behaviour and identifying targets to improve population health and well-being.MethodsWe estimated behaviour-related EE for respondents to time use surveys (TUS) from three countries: UK 2001, Poland 2012 and US 2003-13. The Harmonised Multinational Time Use Survey (MTUS) activity categories were matched to MET estimates from the 2011 Compendium of Physical Activities. We attach METs values to each successive activity in the TUS, together with both the original UK, Polish and US activity classifications and the 68-category MTUS activity classification. We used TUS estimates of activity durations across 24-h to estimate the Physical Activity Level (PAL) for respondents from the three countries and the average time spent and MET values for different activity categories.ResultsPAL values ranged from 1.59 in the US to 1.74 in Poland. The main sources of daily EE from PA were paid and unpaid work activities. Discretionary PA accounted for only a very small part (similar to 3%) of adult daily energy expenditures. Using the harmonised MTUS 68-activity classification reduced the variability of the aggregate PAEE measure by similar to 20%, but the patterns of association between key demographics (age, sex, educational attainment) were unaffected. TUS data were further used to (1) identify sources of daily PA, and (2) assess adherence to physical activity guidelines (PAG) on a single-day basis. Estimated adherence levels were similar to those reported from other TUS as well as frequency based estimates.ConclusionsComparative studies of energy expenditure based on harmonised time use activity categories could provide insight into the relative importance of different activities for energy expenditure across different countries and demographic groups. However, new observational studies combining TUS data with accelerometer, direct observation and other measures of activity intensity are required for more accurate MET assignments to activity categories in TUS.