Relationships between physical activity and other health-related measures using state-based prevalence estimates

IF 2.4 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Peter D. Hart, Nestor Asiamah, Getu Teferi, Ivan Uher
{"title":"Relationships between physical activity and other health-related measures using state-based prevalence estimates","authors":"Peter D. Hart, Nestor Asiamah, Getu Teferi, Ivan Uher","doi":"10.34172/hpp.2023.36","DOIUrl":null,"url":null,"abstract":"Background: Both physical activity and muscle-strengthening activity have known relationships with other health-related variables such as alcohol and tobacco use, diet, and health-related quality of life (HRQOL). The purpose of this study was to explore and quantify the associations between physical activity measures and health-related variables at the higher state level. Methods: This cross-sectional study used data from the 2017 and 2019 Behavioral Risk Factor Surveillance System surveys. State-based prevalence (%) estimates were computed for meeting physical activity guidelines (PA), meeting muscle-strengthening activity guidelines (MS), both PA and MS (MB), drinking alcohol (D1), heavy alcohol drinking (HD), fruit consumption (F1), vegetable consumption (V1), good self-rated health (GH), overweight (OW), obesity (OB), current smoking (SN), and smokeless tobacco use (SL). Descriptive statistics, correlation coefficients, and data visualization methods were employed. Results: Strongest associations were seen between PA and F1 (2017: r=0.717 & 2019: r=0.695), MS and OB (2017: r=-0.781 & 2019: r=-0.599), PA and GH (2017: r=0.631 & 2019: r=0.649), PA and OB (2017: r=-0.645 & 2019: r=-0.763), and MB and SN (2017: r=-0.713 & 2019: r=-0.645). V1 was associated only with PA (2017: r=0.335 & 2019: r=0.357) whereas OW was not associated only with PA. Canonical correlation analysis showed the physical activity variables were directly related (r c=0.884, P<0.001) to the health variables. Conclusion: This study used high-level data to support the many known relationships between PA measures and health-related variables.","PeriodicalId":46588,"journal":{"name":"Health Promotion Perspectives","volume":"53 49","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Promotion Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/hpp.2023.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Both physical activity and muscle-strengthening activity have known relationships with other health-related variables such as alcohol and tobacco use, diet, and health-related quality of life (HRQOL). The purpose of this study was to explore and quantify the associations between physical activity measures and health-related variables at the higher state level. Methods: This cross-sectional study used data from the 2017 and 2019 Behavioral Risk Factor Surveillance System surveys. State-based prevalence (%) estimates were computed for meeting physical activity guidelines (PA), meeting muscle-strengthening activity guidelines (MS), both PA and MS (MB), drinking alcohol (D1), heavy alcohol drinking (HD), fruit consumption (F1), vegetable consumption (V1), good self-rated health (GH), overweight (OW), obesity (OB), current smoking (SN), and smokeless tobacco use (SL). Descriptive statistics, correlation coefficients, and data visualization methods were employed. Results: Strongest associations were seen between PA and F1 (2017: r=0.717 & 2019: r=0.695), MS and OB (2017: r=-0.781 & 2019: r=-0.599), PA and GH (2017: r=0.631 & 2019: r=0.649), PA and OB (2017: r=-0.645 & 2019: r=-0.763), and MB and SN (2017: r=-0.713 & 2019: r=-0.645). V1 was associated only with PA (2017: r=0.335 & 2019: r=0.357) whereas OW was not associated only with PA. Canonical correlation analysis showed the physical activity variables were directly related (r c=0.884, P<0.001) to the health variables. Conclusion: This study used high-level data to support the many known relationships between PA measures and health-related variables.
利用基于州的流行率估算得出的体育锻炼与其他健康相关指标之间的关系
背景:体力活动和肌肉强化活动与其他健康相关变量(如酗酒和吸烟、饮食和健康相关生活质量(HRQOL))之间存在已知的关系。本研究的目的是在更高的状态水平上探索和量化体育锻炼措施与健康相关变量之间的关系。研究方法这项横断面研究使用了 2017 年和 2019 年行为风险因素监测系统调查的数据。计算了符合体力活动指南(PA)、符合增强肌肉活动指南(MS)、同时符合体力活动指南和增强肌肉活动指南(MB)、饮酒(D1)、大量饮酒(HD)、水果消费(F1)、蔬菜消费(V1)、自评健康状况良好(GH)、超重(OW)、肥胖(OB)、当前吸烟(SN)和无烟烟草使用(SL)的基于州的流行率(%)估计值。研究采用了描述性统计、相关系数和数据可视化方法。结果显示PA与F1(2017年:r=0.717 & 2019年:r=0.695)、MS与OB(2017年:r=-0.781 & 2019年:r=-0.599)、PA与GH(2017年:r=0.631 & 2019年:r=0.649)、PA与OB(2017年:r=-0.645 & 2019年:r=-0.763)、MB与SN(2017年:r=-0.713 & 2019年:r=-0.645)之间的相关性最强。V1 仅与 PA 相关(2017 年:r=0.335 & 2019 年:r=0.357),而 OW 仅与 PA 无关。典型相关分析表明,体力活动变量与健康变量直接相关(r c=0.884,P<0.001)。结论本研究利用高层次数据支持了许多已知的体育锻炼措施与健康相关变量之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Health Promotion Perspectives
Health Promotion Perspectives PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.10
自引率
2.30%
发文量
27
审稿时长
13 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信