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The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis.利用移动技术促进中东和北非地区的身体活动和减少久坐行为:系统评价和荟萃分析。
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The impact of technology on promoting physical activities and mental health: a gender-based study.技术对促进身体活动和心理健康的影响:基于性别的研究。
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Physical activity and health-related quality of life among adults living in Jeddah city Saudi Arabia.沙特阿拉伯吉达市成年人的身体活动与健康相关生活质量。
PeerJ. 2023 Sep 11;11:e16059. doi: 10.7717/peerj.16059. eCollection 2023.

沙特阿拉伯吉达市关于采用技术促进身体活动的身体活动及公共安全认知的预测因素

Predictors of physical activity and public safety perception regarding technology adoption for promoting physical activity in Jeddah, Saudi Arabia.

作者信息

Alshahrani Najim Z

机构信息

Department of Family and Community Medicine, Faculty of Medicine, University of Jeddah, Jeddah, Saudi Arabia.

出版信息

Prev Med Rep. 2024 May 10;43:102753. doi: 10.1016/j.pmedr.2024.102753. eCollection 2024 Jul.

DOI:10.1016/j.pmedr.2024.102753
PMID:38798910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11127561/
Abstract

BACKGROUND

This study aims to identify the predictors of levels of physical activity among the residents of Jeddah, Saudi Arabia. Additionally, it seeks to understand the public's safety perception regarding the adoption of technology for promoting physical activity.

METHOD

This is an analytical cross-sectional study using self-administered web-based survey. A stratified sampling technique was used to select participants from adult population in Jeddah and data collection took place from May 2023 to December 2023. Multivariable logistic regression models were applied to identify predictors of low-intensity (walking steps) and high-intensity physical activities.

RESULT

A total of 462 participated in the study. Gender significantly influenced walking habits, with males more likely to walk than females (AOR = 2.37; 95 % CI: 1.55-3.62; P < 0.001). Smoking status was also a predictor, with smokers more inclined to walk compared to non-smokers (AOR = 2.15; 95 % CI: 1.20-3.82; P = 0.010). High-intensity physical activity strongly correlated with increased walking, especially among those active 3-7 days per week (AOR = 3.03; 95 % CI: 1.91-4.78; P < 0.001). Chronic diseases negatively impacted walking frequency (AOR = 0.57; 95 % CI: 0.34-0.95; P = 0.031). Furthermore, males were likelier to engage in high-intensity activities compared to females (AOR = 1.61; 95 % CI: 1.04-2.50; P = 0.033). Those walking ≥ 10,000 steps weekly were more likely to participate in high-intensity activities (AOR = 3.07; 95 % CI: 1.95-4.82; P < 0.001). Excellent self-rated health was associated with higher participation in such activities (AOR = 2.00; 95 % CI: 1.30-3.06; P = 0.002). Most respondents (84.9 %) felt safe on public walkways, and 78.1 % indicated safety perceptions influenced their walkway use. Technology use was divided, with about half (49.1 %) using apps for tracking physical activity. The majority (90.9 %) supported adding motivational features to the 'Sehhaty' app, and 73.6 % favored financial rewards for walking. However, only 45.5 % believed that public walkways are designed to encourage walking.

CONCLUSION

The study highlights significant predictors of physical activity among general population in Jeddah. The study also revealed the impact of safety perceptions and technology use on physical activity, with strong support for motivational features in health apps. However, there is a need for improved design of public walkways to encourage walking.

摘要

背景

本研究旨在确定沙特阿拉伯吉达居民身体活动水平的预测因素。此外,它还试图了解公众对采用技术促进身体活动的安全认知。

方法

这是一项采用基于网络的自填式调查问卷的分析性横断面研究。采用分层抽样技术从吉达的成年人口中选取参与者,数据收集于2023年5月至2023年12月进行。应用多变量逻辑回归模型来确定低强度(步行步数)和高强度身体活动的预测因素。

结果

共有462人参与了该研究。性别对步行习惯有显著影响,男性比女性更有可能步行(调整后比值比[AOR]=2.37;95%置信区间[CI]:1.55 - 3.62;P<0.001)。吸烟状况也是一个预测因素,吸烟者比非吸烟者更倾向于步行(AOR = 2.15;95% CI:1.20 - 3.82;P = 0.010)。高强度身体活动与步行增加密切相关,尤其是在每周活动3 - 7天的人群中(AOR = 3.03;95% CI:1.91 - 4.78;P<0.001)。慢性病对步行频率有负面影响(AOR = 0.57;95% CI:0.34 - 0.95;P = 0.031)。此外,男性比女性更有可能参与高强度活动(AOR = 1.61;95% CI:1.04 - 2.50;P = 0.033)。每周步行≥10000步的人更有可能参与高强度活动(AOR = 3.07;95% CI:1.95 - 4.82;P<0.001)。自我评定健康状况良好与更高的此类活动参与度相关(AOR = 2.00;95% CI:1.30 - 3.06;P = 0.002)。大多数受访者(84.9%)在公共人行道上感到安全,78.1%表示安全认知影响了他们对人行道的使用。技术使用情况不一,约一半(49.1%)的人使用应用程序来跟踪身体活动。大多数人(90.9%)支持在“Sehhaty”应用程序中添加激励功能,73.6%的人赞成对步行给予经济奖励。然而,只有45.5%的人认为公共人行道的设计是为了鼓励步行。

结论

该研究突出了吉达普通人群身体活动的重要预测因素。该研究还揭示了安全认知和技术使用对身体活动的影响,人们对健康应用程序中的激励功能有强烈支持。然而,需要改进公共人行道的设计以鼓励步行。