Rural–Urban Differences in Physical Activity Tracking and Engagement in a Web-Based Platform

Author:

Pickett Andrew C.12ORCID,Bowie Maria34,Berg Alison5,Towne Samuel D.678910,Hollifield Stephanie11,Smith Matthew Lee810

Affiliation:

1. Division of Kinesiology & Sport Management, University of South Dakota, Vermillion, SD, USA

2. School of Education Research Center, University of South Dakota, Vermillion, SD, USA

3. Office of the Associate Dean, Cooperative Extension Service, University of Georgia, Athens, GA, USA

4. Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA

5. Department of Nutritional Sciences, College of Family and Consumer Sciences, University of Georgia, Athens, GA, USA

6. School of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA

7. Disability, Aging, and Technology Cluster, University of Central Florida, Orlando, FL, USA

8. Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX, USA

9. Southwest Rural Health Research Center, Texas A&M University, College Station, TX, USA

10. Center for Population Health and Aging, Texas A&M University, College Station, TX, USA

11. Southwest District Extension, University of Georgia, Tifton, GA, USA

Abstract

Objectives: Despite the well-established health benefits of regular participation in physical activity, most adults do not meet recommended exercise guidelines. In rural communities, limited local resources and geographic dispersion make engaging in regular activity particularly difficult. Web-based solutions offer a potential solution for addressing physical activity disparities between rural and urban areas. Methods: This study examined the physical activity logs of users (n = 6695) of a web-based platform called Walk Georgia, comparing residents of metropolitan and nonmetropolitan areas. We tabulated descriptive statistics for variables of interest, cross-tabulated for metropolitan and nonmetropolitan groups. We then used independent-samples t tests to compare logged activity between metropolitan and nonmetropolitan residing user groups. Results: In the analysis of group type (n = 6654), users were more likely to enroll in the program as part of a group than as individuals (n = 4391; 65.9%), particularly for users in metropolitan areas (3558 of 5192; 68.5%). Although the groups shared certain activities, nonmetropolitan residents were more likely than metropolitan residents to engage in maintenance-based activities. Nonmetropolitan residents earned fewer program points for their activity than metropolitan users ( P = .007), largely because of lower average exercise difficulty ( P < .001). Conclusions: The web-based platform was effective in helping individuals track physical activity. Despite engaging in similar amounts of physical activity by time, on average, users in nonmetropolitan areas engaged in less rigorous and more maintenance-based tasks than users in metropolitan areas. One strategy for increasing physical activity among rural populations may be to leverage social support provided by group enrollment in such programming.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3