在美国,可改变的健康行为与过早死亡之间的县一级关联

IF 2.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Abdul Mannan Khan Minhas , Kashvi Gupta , Erin D. Michos , Andrew J. Sauer , Laurence Sperling , Vijay Nambi , Layla Abushamat , Christie M. Ballantyne , Dmitry Abramov
{"title":"在美国,可改变的健康行为与过早死亡之间的县一级关联","authors":"Abdul Mannan Khan Minhas ,&nbsp;Kashvi Gupta ,&nbsp;Erin D. Michos ,&nbsp;Andrew J. Sauer ,&nbsp;Laurence Sperling ,&nbsp;Vijay Nambi ,&nbsp;Layla Abushamat ,&nbsp;Christie M. Ballantyne ,&nbsp;Dmitry Abramov","doi":"10.1016/j.pmedr.2025.103003","DOIUrl":null,"url":null,"abstract":"<div><div>Objective: Unhealthy lifestyle habits are associated with increased morbidity and mortality. This study aims to examine the county-level association of physical inactivity, insufficient sleep, and current smoking, three elements of the American Heart Association's Life's Essential 8, with premature mortality.</div><div>Methods: Premature country-level age-adjusted death rate (AADR) in 2018–2020 were obtained from National Center for Health Statistics Mortality Files. County-level data were included from County Health Rankings data set for 2022. Counties were divided into deciles based on the percentage of adults with physical inactivity, insufficient sleep, and current smoking (separate decile for each metric) from Behavioral Risk Factor Surveillance System in 2019. Multivariable linear regression were used to evaluate the association of premature AADR with physical inactivity, insufficient sleep, and current smoking (lowest deciles as reference), controlling for median county income as a social determinant of health.</div><div>Results: A total of 3082 counties were included in the analysis. Mean physical inactivity, current smoking, and insufficient sleep ranged from 20.7 % to 41 %, 13.4 % to 28.2 %, and 30.3 % to 43.7 % from 1st to 10th decile, respectively. There was a stepwise increase in premature mortality in each progressive decile with an increase in county-level physical inactivity, insufficient sleep, and current smoking, which remained significant in the adjusted analyses.</div><div>Conclusion: We demonstrate an independent association of county-level physical inactivity, insufficient sleep, and current smoking with premature mortality. Further research and public health efforts are needed to understand and mitigate these risk factors at the county level to improve health outcomes.</div></div>","PeriodicalId":38066,"journal":{"name":"Preventive Medicine Reports","volume":"51 ","pages":"Article 103003"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"County-level association between modifiable health behaviors and premature mortality in the United States\",\"authors\":\"Abdul Mannan Khan Minhas ,&nbsp;Kashvi Gupta ,&nbsp;Erin D. Michos ,&nbsp;Andrew J. Sauer ,&nbsp;Laurence Sperling ,&nbsp;Vijay Nambi ,&nbsp;Layla Abushamat ,&nbsp;Christie M. Ballantyne ,&nbsp;Dmitry Abramov\",\"doi\":\"10.1016/j.pmedr.2025.103003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Objective: Unhealthy lifestyle habits are associated with increased morbidity and mortality. This study aims to examine the county-level association of physical inactivity, insufficient sleep, and current smoking, three elements of the American Heart Association's Life's Essential 8, with premature mortality.</div><div>Methods: Premature country-level age-adjusted death rate (AADR) in 2018–2020 were obtained from National Center for Health Statistics Mortality Files. County-level data were included from County Health Rankings data set for 2022. Counties were divided into deciles based on the percentage of adults with physical inactivity, insufficient sleep, and current smoking (separate decile for each metric) from Behavioral Risk Factor Surveillance System in 2019. Multivariable linear regression were used to evaluate the association of premature AADR with physical inactivity, insufficient sleep, and current smoking (lowest deciles as reference), controlling for median county income as a social determinant of health.</div><div>Results: A total of 3082 counties were included in the analysis. Mean physical inactivity, current smoking, and insufficient sleep ranged from 20.7 % to 41 %, 13.4 % to 28.2 %, and 30.3 % to 43.7 % from 1st to 10th decile, respectively. There was a stepwise increase in premature mortality in each progressive decile with an increase in county-level physical inactivity, insufficient sleep, and current smoking, which remained significant in the adjusted analyses.</div><div>Conclusion: We demonstrate an independent association of county-level physical inactivity, insufficient sleep, and current smoking with premature mortality. Further research and public health efforts are needed to understand and mitigate these risk factors at the county level to improve health outcomes.</div></div>\",\"PeriodicalId\":38066,\"journal\":{\"name\":\"Preventive Medicine Reports\",\"volume\":\"51 \",\"pages\":\"Article 103003\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Preventive Medicine Reports\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211335525000427\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive Medicine Reports","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211335525000427","RegionNum":3,"RegionCategory":"医学","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

摘要

目的:不健康的生活习惯与发病率和死亡率增加有关。这项研究旨在调查缺乏体育锻炼、睡眠不足和当前吸烟这三个美国心脏协会的生活要素与过早死亡之间的关系。方法:从国家卫生统计中心死亡率档案中获取2018-2020年国家级过早年龄调整死亡率(AADR)。县级数据来自2022年的县健康排名数据集。根据2019年行为风险因素监测系统中缺乏身体活动、睡眠不足和目前吸烟的成年人的百分比(每个指标单独一个十分位数),将各县分为十分位数。采用多变量线性回归来评估过早AADR与缺乏运动、睡眠不足和当前吸烟(最低十分位数作为参考)之间的关系,并控制县收入中位数作为健康的社会决定因素。结果:共纳入3082个县。在第1至第10十分位数,平均缺乏身体活动、目前吸烟和睡眠不足的比例分别为20.7%至41%、13.4%至28.2%和30.3%至43.7%。随着县内缺乏体育活动、睡眠不足和当前吸烟的增加,每一个进展十分位数的过早死亡率逐步增加,这在调整后的分析中仍然很重要。结论:我们证明了县级缺乏运动、睡眠不足和当前吸烟与过早死亡之间的独立关联。需要进一步的研究和公共卫生努力,在县一级了解和减轻这些风险因素,以改善健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
County-level association between modifiable health behaviors and premature mortality in the United States
Objective: Unhealthy lifestyle habits are associated with increased morbidity and mortality. This study aims to examine the county-level association of physical inactivity, insufficient sleep, and current smoking, three elements of the American Heart Association's Life's Essential 8, with premature mortality.
Methods: Premature country-level age-adjusted death rate (AADR) in 2018–2020 were obtained from National Center for Health Statistics Mortality Files. County-level data were included from County Health Rankings data set for 2022. Counties were divided into deciles based on the percentage of adults with physical inactivity, insufficient sleep, and current smoking (separate decile for each metric) from Behavioral Risk Factor Surveillance System in 2019. Multivariable linear regression were used to evaluate the association of premature AADR with physical inactivity, insufficient sleep, and current smoking (lowest deciles as reference), controlling for median county income as a social determinant of health.
Results: A total of 3082 counties were included in the analysis. Mean physical inactivity, current smoking, and insufficient sleep ranged from 20.7 % to 41 %, 13.4 % to 28.2 %, and 30.3 % to 43.7 % from 1st to 10th decile, respectively. There was a stepwise increase in premature mortality in each progressive decile with an increase in county-level physical inactivity, insufficient sleep, and current smoking, which remained significant in the adjusted analyses.
Conclusion: We demonstrate an independent association of county-level physical inactivity, insufficient sleep, and current smoking with premature mortality. Further research and public health efforts are needed to understand and mitigate these risk factors at the county level to improve health outcomes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Preventive Medicine Reports
Preventive Medicine Reports Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
0.00%
发文量
353
×
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