Patterns of health behaviour associated with active travel: a compositional data analysis.

Patterns of health behaviour associated with active travel: a compositional data analysis.
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DOI:
10.1186/s12966-018-0662-8
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发表时间:
2018-03-21
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Ogilvie D
Ogilvie D
中科院分区:
其他
文献类型:
--
作者:
Foley L;Dumuid D;Atkin AJ;Olds T;Ogilvie D

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积极的旅行(步行或骑自行车)与成年人的良好健康结果相关。然而,很少有人知道与积极的旅行相关的健康行为的并发模式。我们使用成分数据分析来探索进行一些积极旅行的人与不进行积极旅行的人相比如何利用他们的时间的差异,包括身体活动,久坐行为和睡眠。我们分析了2014/15英国协调欧洲时间使用调查的横截面数据。参与者记录了两天的活动,我们从16岁或以上的参与者中随机选择了一天。活动分为六个相互排斥的集合,占整个24小时:(1)睡眠;(2)休闲中度到剧烈的身体活动(MVPA);(3)休闲久坐屏幕时间;(4)非自由支配时间(工作,学习,家务和照顾责任);(5)旅行和(6)其他。这种活动的混合被定义为时间使用组合。创建了一个二元变量,指示参与者是否在其选定的日记日报告任何活动旅行。我们使用成分的多变量方差分析(MANOVA),以测试是否平均时间使用的组成不同的个人报告一些积极的旅行和那些报告没有积极的旅行,调整协变量。然后,我们使用调整后的线性回归模型和自举置信区间来确定六个活动集中的哪一个在组间存在差异。6143名参与者(平均年龄48岁; 53%为女性)提供了有效的日记日。有一个统计上显着的差异之间的时间使用的组成报告一些积极的旅行和那些报告没有积极的旅行。那些进行主动旅行的人报告说,他们在休闲MVPA和旅行方面的时间相对较多,而在休闲久坐屏幕时间和睡眠方面的时间相对较少。与那些没有进行积极旅行的人相比,那些进行积极旅行的人每天的休闲MVPA时间多11分钟,屏幕时间少18分钟,睡眠时间较低。从健康的角度来看,较高的MVPA和较短的屏幕时间是有利的,但睡眠模式更复杂。总体而言,积极旅行与多个行为领域的广泛健康促进时间组成相关,这支持了积极旅行的公共卫生案例。本文的在线版本(10.1186/s12966-018-0662-8)包含补充材料,可供授权用户使用。
Active travel (walking or cycling for transport) is associated with favourable health outcomes in adults. However, little is known about the concurrent patterns of health behaviour associated with active travel. We used compositional data analysis to explore differences in how people doing some active travel used their time compared to those doing no active travel, incorporating physical activity, sedentary behaviour and sleep. We analysed cross-sectional data from the 2014/15 United Kingdom Harmonised European Time Use Survey. Participants recorded two diary days of activity, and we randomly selected one day from participants aged 16 years or over. Activities were categorised into six mutually exclusive sets, accounting for the entire 24 h: (1) sleep; (2) leisure moderate to vigorous physical activity (MVPA); (3) leisure sedentary screen time; (4) non-discretionary time (work, study, chores and caring duties); (5) travel and (6) other. This mixture of activities was defined as a time-use composition. A binary variable was created indicating whether participants reported any active travel on their selected diary day. We used compositional multivariate analysis of variance (MANOVA) to test whether mean time-use composition differed between individuals reporting some active travel and those reporting no active travel, adjusted for covariates. We then used adjusted linear regression models and bootstrap confidence intervals to identify which of the six activity sets differed between groups. 6143 participants (mean age 48 years; 53% female) provided a valid diary day. There was a statistically significant difference in time-use composition between those reporting some active travel and those reporting no active travel. Those undertaking active travel reported a relatively greater amount of time in leisure MVPA and travel, and a relatively lower amount of time in leisure sedentary screen time and sleep. Compared to those not undertaking active travel, those who did active travel reported 11 min more in leisure MVPA and 18 min less in screen time per day, and reported lower sleep. From a health perspective, higher MVPA and lower screen time is favourable, but the pattern of sleep is more complex. Overall, active travel was associated with a broadly health-promoting composition of time across multiple behavioural domains, which supports the public health case for active travel. The online version of this article (10.1186/s12966-018-0662-8) contains supplementary material, which is available to authorized users.
系统的审查和荟萃分析对步行,骑自行车以及剂量反应关系的全因死亡率的降低和荟萃分析。
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发表时间: 2014-10-24
期刊: The international journal of behavioral nutrition and physical activity
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