• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

2003年至2019年美国退伍军人与非退伍军人健康结果对比研究

Exploring Health Outcomes for U.S. Veterans Compared to Non-Veterans from 2003 to 2019.

作者信息

Betancourt Jose A, Granados Paula Stigler, Pacheco Gerardo J, Reagan Julie, Shanmugam Ramalingam, Topinka Joseph B, Beauvais Bradley M, Ramamonjiarivelo Zo H, Fulton Lawrence V

机构信息

School of Health Administration, Texas State University, San Marcos, TX 78666-4684, USA.

出版信息

Healthcare (Basel). 2021 May 18;9(5):604. doi: 10.3390/healthcare9050604.

DOI:10.3390/healthcare9050604
PMID:34070037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8158130/
Abstract

The physical demands on U.S. service members have increased significantly over the past several decades as the number of military operations requiring overseas deployment have expanded in frequency, duration, and intensity. These elevated demands from military operations placed upon a small subset of the population may be resulting in a group of individuals more at-risk for a variety of debilitating health conditions. To better understand how the U.S Veterans health outcomes compared to non-Veterans, this study utilized the U.S. Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System (BRFSS) dataset to examine 10 different self-reported morbidities. Yearly age-adjusted, population estimates from 2003 to 2019 were used for Veteran vs. non-Veteran. Complex weights were used to evaluate the panel series for each morbidity overweight/obesity, heart disease, stroke, skin cancer, cancer, COPD, arthritis, mental health, kidney disease, and diabetes. General linear models (GLM's) were created using 2019 data only to investigate any possible explanatory variables associated with these morbidities. The time series analysis showed that Veterans have disproportionately higher self-reported rates of each morbidity with the exception of mental health issues and heart disease. The GLM showed that when taking into account all the variables, Veterans disproportionately self-reported a higher amount of every morbidity with the exception of mental health. These data present an overall poor state of the health of the average U.S. Veteran. Our study findings suggest that when taken as a whole, these morbidities among Veterans could prompt the U.S. Department of Veteran Affairs (VA) to help develop more effective health interventions aimed at improving the overall health of the Veterans.

摘要

在过去几十年里,随着需要海外部署的军事行动在频率、持续时间和强度上不断增加,美国现役军人面临的身体需求显著提高。这些军事行动对一小部分人群提出的更高要求,可能导致这部分人更容易患上各种使人衰弱的健康问题。为了更好地了解美国退伍军人与非退伍军人的健康状况对比情况,本研究利用美国疾病控制与预防中心(CDC)的行为风险因素监测系统(BRFSS)数据集,对10种不同的自我报告疾病进行了研究。使用了2003年至2019年按年龄调整的年度人口估计数据来对比退伍军人和非退伍军人。采用复杂权重来评估每种疾病(超重/肥胖、心脏病、中风、皮肤癌、癌症、慢性阻塞性肺疾病、关节炎、心理健康、肾脏疾病和糖尿病)的面板系列。仅使用2019年的数据创建了一般线性模型(GLM),以调查与这些疾病相关的任何可能的解释变量。时间序列分析表明,除了心理健康问题和心脏病外,退伍军人自我报告的每种疾病发生率都高得不成比例。GLM显示,在考虑所有变量时,除心理健康外,退伍军人自我报告的每种疾病数量都高得不成比例。这些数据表明美国退伍军人的整体健康状况不佳。我们的研究结果表明,总体而言,退伍军人中的这些疾病可能促使美国退伍军人事务部(VA)帮助制定更有效的健康干预措施,以改善退伍军人的整体健康状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/50ea4c937d36/healthcare-09-00604-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/25d147d0bdfd/healthcare-09-00604-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/89928b20c996/healthcare-09-00604-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/50ea4c937d36/healthcare-09-00604-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/25d147d0bdfd/healthcare-09-00604-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/89928b20c996/healthcare-09-00604-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0506/8158130/50ea4c937d36/healthcare-09-00604-g003.jpg

相似文献

1
Exploring Health Outcomes for U.S. Veterans Compared to Non-Veterans from 2003 to 2019.2003年至2019年美国退伍军人与非退伍军人健康结果对比研究
Healthcare (Basel). 2021 May 18;9(5):604. doi: 10.3390/healthcare9050604.
2
Obesity and Morbidity Risk in the U.S. Veteran.美国退伍军人中的肥胖与发病风险
Healthcare (Basel). 2020 Jun 29;8(3):191. doi: 10.3390/healthcare8030191.
3
Cardiovascular Disease Risk Factors Among Male Veterans, U.S., 2009-2012.2009 - 2012年美国男性退伍军人的心血管疾病风险因素
Am J Prev Med. 2016 Jan;50(1):101-105. doi: 10.1016/j.amepre.2015.06.011. Epub 2015 Jul 29.
4
Population mental health among U.S. military veterans: results of the Veterans Health Module of the Behavioral Risk Factor Surveillance System, 2011-2012.美国退伍军人的人口心理健康状况:行为风险因素监测系统退伍军人健康模块的结果,2011-2012 年。
Ann Epidemiol. 2016 Aug;26(8):592-596. doi: 10.1016/j.annepidem.2016.06.009. Epub 2016 Jun 25.
5
CDC National Health Report: leading causes of morbidity and mortality and associated behavioral risk and protective factors--United States, 2005-2013.美国疾病控制与预防中心国家健康报告:2005 - 2013年美国发病和死亡的主要原因以及相关行为风险和保护因素
MMWR Suppl. 2014 Oct 31;63(4):3-27.
6
Health and health behavior differences: U.S. Military, veteran, and civilian men.健康和健康行为差异:美国军人、退役军人和平民男性。
Am J Prev Med. 2012 Nov;43(5):483-9. doi: 10.1016/j.amepre.2012.07.029.
7
Severe Maternal Morbidity Among a Cohort of Post-9/11 Women Veterans.9·11 后女性退伍军人队列中的严重产妇发病率。
J Womens Health (Larchmt). 2020 Apr;29(4):577-584. doi: 10.1089/jwh.2019.7948. Epub 2020 Jan 6.
8
The Health Status of the US Veterans: A Longitudinal Analysis of Surveillance Data Prior to and during the COVID-19 Pandemic.美国退伍军人的健康状况:对新冠疫情之前及期间监测数据的纵向分析。
Healthcare (Basel). 2023 Jul 17;11(14):2049. doi: 10.3390/healthcare11142049.
9
The physical and mental health burden of obesity in U.S. veterans: Results from the National Health and Resilience in Veterans Study.美国退伍军人肥胖的身心负担:来自国家健康和退伍军人适应力研究的结果。
J Psychiatr Res. 2018 Aug;103:112-119. doi: 10.1016/j.jpsychires.2018.05.016. Epub 2018 May 22.
10
Core state preconception health indicators - pregnancy risk assessment monitoring system and behavioral risk factor surveillance system, 2009.核心孕前健康指标 - 妊娠风险评估监测系统和行为危险因素监测系统,2009 年。
MMWR Surveill Summ. 2014 Apr 25;63(3):1-62.

引用本文的文献

1
The Use of Lung Cancer Screening to Increase Chronic Obstructive Pulmonary Disease Diagnosis in Veterans Affairs Primary Care.利用肺癌筛查提高退伍军人事务部初级保健中慢性阻塞性肺疾病的诊断率
Fed Pract. 2025 Jun;42(6):220-223. doi: 10.12788/fp.0594. Epub 2025 Jun 17.
2
Sociodemographic patterns of provider-to-home telehealth use within the veterans health administration between 2015 and 2023.2015年至2023年间退伍军人健康管理局内从医疗机构到家庭的远程医疗使用的社会人口学模式。
Discov Health Syst. 2025;4(1):80. doi: 10.1007/s44250-025-00256-0. Epub 2025 Jul 9.
3
Clinical and Health Care Resource Use Outcomes Associated With Resistance to Antiretroviral Therapy Among Veterans With HIV.

本文引用的文献

1
Rapid Increase in Telemental Health Within the Department of Veterans Affairs During the COVID-19 Pandemic.在 COVID-19 大流行期间,退伍军人事务部内的远程心理健康服务迅速增加。
Telemed J E Health. 2021 Apr;27(4):454-458. doi: 10.1089/tmj.2020.0233. Epub 2020 Sep 14.
2
Obesity and Morbidity Risk in the U.S. Veteran.美国退伍军人中的肥胖与发病风险
Healthcare (Basel). 2020 Jun 29;8(3):191. doi: 10.3390/healthcare8030191.
3
Smoking, obesity, and their co-occurrence in the U.S. military veterans: results from the national health and resilience in veterans study.
感染艾滋病毒退伍军人中与抗逆转录病毒疗法耐药性相关的临床及医疗保健资源使用结果
Open Forum Infect Dis. 2025 Jun 9;12(7):ofaf340. doi: 10.1093/ofid/ofaf340. eCollection 2025 Jul.
4
The Use of Complementary Health Approaches Among U.S. Veterans from 2002 to 2022: a Prevalence and Sex-Stratified Analysis.2002年至2022年美国退伍军人使用补充健康方法的情况:患病率及性别分层分析
J Gen Intern Med. 2025 May 20. doi: 10.1007/s11606-025-09620-5.
5
Prolonged Hospitalization and Adverse Events in Veterans Awaiting Guardianship: A Retrospective Cohort Analysis.等待监护的退伍军人的长期住院和不良事件:一项回顾性队列分析。
J Gen Intern Med. 2025 May 8. doi: 10.1007/s11606-025-09463-0.
6
Enrollment and Retention Outcomes from the Veterans Health Administration for a Remote Digital Health Study: Multisite Observational Study.退伍军人健康管理局远程数字健康研究的招募与留存结果:多中心观察性研究
JMIR Form Res. 2025 Aug 15;9:e68676. doi: 10.2196/68676.
7
Comparison of health measures between survey self-reports and electronic health records among Millennium Cohort Study participants receiving Veterans Health Administration care.在接受退伍军人健康管理局医疗服务的千禧队列研究参与者中,比较调查自我报告与电子健康记录之间的健康指标。
BMC Med Res Methodol. 2025 Mar 27;25(1):81. doi: 10.1186/s12874-025-02529-x.
8
Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post-COVID-19 Condition: Protocol for an Observational Study.开发一种基于多传感器的机器学习技术(艾达尔失代偿指数)用于实时自动检测新冠后状况:一项观察性研究方案
JMIR Res Protoc. 2025 Mar 27;14:e54993. doi: 10.2196/54993.
9
Mental Health Challenges and Barriers to Veterans' Adjustment to Civilian Life on the U.S.-Mexico Border.美国-墨西哥边境退伍军人适应平民生活的心理健康挑战与障碍
Healthcare (Basel). 2025 Jan 22;13(3):220. doi: 10.3390/healthcare13030220.
10
Laser Speckle Flowgraphy Reveals Widespread Reductions in Ocular Blood Flow in nonexudative Age-Related Macular Degeneration.激光散斑血流图显示非渗出性年龄相关性黄斑变性患者眼部血流普遍减少。
Am J Ophthalmol. 2025 May;273:92-106. doi: 10.1016/j.ajo.2025.01.012. Epub 2025 Jan 30.
美国退伍军人中的吸烟、肥胖及其共病现象:来自国家健康和退伍军人适应力研究的结果。
J Affect Disord. 2020 Sep 1;274:354-362. doi: 10.1016/j.jad.2020.04.005. Epub 2020 May 29.
4
A population-based measure of chronic disease severity for health planning and evaluation in the United States.一种基于人群的慢性病严重程度衡量指标,用于美国的卫生规划与评估。
AIMS Public Health. 2020 Feb 4;7(1):44-65. doi: 10.3934/publichealth.2020006. eCollection 2020.
5
"Making weight" during military service is related to binge eating and eating pathology for veterans later in life.服兵役期间“控制体重”与退伍军人晚年的暴饮暴食及饮食病理有关。
Eat Weight Disord. 2019 Dec;24(6):1063-1070. doi: 10.1007/s40519-019-00766-w. Epub 2019 Aug 30.
6
Risk Factors of Obesity in Veterans of Recent Conflicts: Need for Diabetes Prevention.近期冲突退伍军人肥胖的风险因素:糖尿病预防的必要性。
Curr Diab Rep. 2019 Jul 31;19(9):70. doi: 10.1007/s11892-019-1191-9.
7
US Military Service and Racial/Ethnic Differences in Cardiovascular Disease: An Analysis of the 2011-2016 Behavioral Risk Factor Surveillance System.美国兵役与心血管疾病的种族/民族差异:对 2011-2016 年行为风险因素监测系统的分析。
Ethn Dis. 2019 Jul 18;29(3):451-462. doi: 10.18865/ed.29.3.451. eCollection 2019 Summer.
8
The impact of key modifiable risk factors on leading chronic conditions.主要可改变风险因素对主要慢性疾病的影响。
Prev Med. 2019 Mar;120:113-118. doi: 10.1016/j.ypmed.2019.01.006. Epub 2019 Jan 15.
9
Weight Trends in Veterans With and Without Diabetes, 2000 to 2014.2000 年至 2014 年有和无糖尿病退伍军人的体重趋势。
Obesity (Silver Spring). 2018 Dec;26(12):1949-1957. doi: 10.1002/oby.22337. Epub 2018 Nov 12.
10
The physical and mental health burden of obesity in U.S. veterans: Results from the National Health and Resilience in Veterans Study.美国退伍军人肥胖的身心负担:来自国家健康和退伍军人适应力研究的结果。
J Psychiatr Res. 2018 Aug;103:112-119. doi: 10.1016/j.jpsychires.2018.05.016. Epub 2018 May 22.