Suppr超能文献

年度全国职场计步挑战对改变计步数据的有效性:四年实施结果。

The Effectiveness of an Annual Nationally Delivered Workplace Step Count Challenge on Changing Step Counts: Findings from Four Years of Delivery.

机构信息

Physical Activity for Health Research Centre, Institute of Sport, PE and Health Sciences, University of Edinburgh, Holyrood Road, Edinburgh EH8 8AQ, UK.

Division of Sport, Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4LA, UK.

出版信息

Int J Environ Res Public Health. 2021 May 12;18(10):5140. doi: 10.3390/ijerph18105140.

Abstract

Paths for All's 8-week online Workplace Step Count Challenge (SCC) is a flagship program of Scotland's National Walking Strategy. The aim of this study was to examine changes in step counts throughout the duration of the SCC, across four years of delivery. Participants were those who registered for the 2015-2018 SCCs, and reported demographic data at registration. Participants self-reported their device-measured step count for each day of the SCC. Following data screening, mean daily steps for each week were calculated. Linear mixed models (R nlme procedure), controlling for the within subject nature of the step count measure, were used to explore changes in steps over time. Gender and age group (<45 years; ≥45 years) were entered into a subsequent model. Separate models were created for each year of the SCC and for all years combined. Participants ( = 10,183) were predominantly women (76.8%), aged <45 (54.6%) and ≥45 years. In general, steps increased each week compared to week 1 ( < 0.001), with a significant increase evident at all but seven of 28 data points. Across the four years of SCC, the increase in steps at week 8 compared to week 1 ranged from 506 to 1223 steps per day, making a substantial contribution to the recommended physical activity levels for health. There was no consistent age or gender effect. The findings provide support for the continued investment in such workplace interventions.

摘要

Paths for All 的 8 周在线工作场所步数挑战 (SCC) 是苏格兰国家步行战略的旗舰计划。本研究的目的是在 SCC 持续期间,在四年的交付过程中,检查步数的变化。参与者是那些注册了 2015-2018 年 SCC 的人,并在注册时报告了人口统计学数据。参与者自行报告 SCC 期间的每天设备测量步数。在数据筛选后,计算每周的平均每日步数。使用线性混合模型(R nlme 程序),控制步计数测量的个体内性质,来探索随时间的步数变化。性别和年龄组(<45 岁;≥45 岁)被纳入后续模型。为 SCC 的每一年和所有年份的组合创建了单独的模型。参与者(n = 10,183)主要是女性(76.8%),年龄<45 岁(54.6%)和≥45 岁。一般来说,与第 1 周相比,每周的步数都会增加(<0.001),在 28 个数据点中的 27 个点都有明显的增加。在 SCC 的四年中,与第 1 周相比,第 8 周的步数增加幅度从每天 506 步到 1223 步不等,这对健康推荐的体力活动水平有很大贡献。没有一致的年龄或性别影响。这些发现为持续投资此类工作场所干预措施提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6282/8150609/55d3ed0a0f9c/ijerph-18-05140-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验