Cardiovascular disease, bone fracture, and all-cause mortality risks among postmenopausal women by arthritis and veteran status: A multistate Markov transition analysis

IF 5.4 2区 医学 Q1 GERIATRICS & GERONTOLOGY GeroScience Pub Date : 2025-01-29 DOI:10.1007/s11357-025-01527-7
Hind A. Beydoun, May A. Beydoun, Jordan Weiss, Robert Brunner, Nishant K. Mishra, Ming Ding, Jean Wactawski-Wende, Philippe Jean-Luc Gradidge, Simin Liu, Jack Tsai
{"title":"Cardiovascular disease, bone fracture, and all-cause mortality risks among postmenopausal women by arthritis and veteran status: A multistate Markov transition analysis","authors":"Hind A. Beydoun, May A. Beydoun, Jordan Weiss, Robert Brunner, Nishant K. Mishra, Ming Ding, Jean Wactawski-Wende, Philippe Jean-Luc Gradidge, Simin Liu, Jack Tsai","doi":"10.1007/s11357-025-01527-7","DOIUrl":null,"url":null,"abstract":"<p>Arthritis, a chronic inflammatory condition linked to cardiovascular disease (CVD) and bone fracture, is more frequent among military veterans and postmenopausal women. This study examined correlates of arthritis and relationships of arthritis with risks of developing CVD, bone fractures, and mortality among postmenopausal veteran and non-veteran women. We analyzed longitudinal data on 135,790 (3,436 veteran and 132,354 non-veteran) postmenopausal women from the Women’s Health Initiative who were followed-up for an average of 16 years between enrollment (1993–1998) and February 17, 2024. Regression and multistate Markov modeling were applied to meet study objectives. The prevalence of arthritis at enrollment (1993–1998) did not differ by veteran status in a fully adjusted logistic model. Variable selection yielded 5 key predictors of prevalent arthritis among veterans and 15 key predictors among non-veterans. In fully-adjusted Cox models, prevalent arthritis was associated with CVD (hazard ratio [HR] = 1.08, 95% confidence interval [CI]: 1.05, 1.10) and all-cause mortality (HR = 1.03, 95% CI: 1.01, 1.05) risks among non-veterans only, but was not associated with bone fracture risk irrespective of veteran status. Transition probabilities between health and CVD and between bone fracture and death were higher among women with <i>vs.</i> without arthritis. The latter transition was more strongly related to arthritis among non-veteran <i>vs.</i> veteran women. In conclusion, among postmenopausal women, prevalent arthritis was associated with greater probabilities of transitioning from a healthy state to CVD and from bone fracture to death, with worse prognosis after bone fracture among those who did not serve in the military.</p>","PeriodicalId":12730,"journal":{"name":"GeroScience","volume":"3 1","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GeroScience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11357-025-01527-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Arthritis, a chronic inflammatory condition linked to cardiovascular disease (CVD) and bone fracture, is more frequent among military veterans and postmenopausal women. This study examined correlates of arthritis and relationships of arthritis with risks of developing CVD, bone fractures, and mortality among postmenopausal veteran and non-veteran women. We analyzed longitudinal data on 135,790 (3,436 veteran and 132,354 non-veteran) postmenopausal women from the Women’s Health Initiative who were followed-up for an average of 16 years between enrollment (1993–1998) and February 17, 2024. Regression and multistate Markov modeling were applied to meet study objectives. The prevalence of arthritis at enrollment (1993–1998) did not differ by veteran status in a fully adjusted logistic model. Variable selection yielded 5 key predictors of prevalent arthritis among veterans and 15 key predictors among non-veterans. In fully-adjusted Cox models, prevalent arthritis was associated with CVD (hazard ratio [HR] = 1.08, 95% confidence interval [CI]: 1.05, 1.10) and all-cause mortality (HR = 1.03, 95% CI: 1.01, 1.05) risks among non-veterans only, but was not associated with bone fracture risk irrespective of veteran status. Transition probabilities between health and CVD and between bone fracture and death were higher among women with vs. without arthritis. The latter transition was more strongly related to arthritis among non-veteran vs. veteran women. In conclusion, among postmenopausal women, prevalent arthritis was associated with greater probabilities of transitioning from a healthy state to CVD and from bone fracture to death, with worse prognosis after bone fracture among those who did not serve in the military.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
心血管疾病、骨折和绝经后妇女由关节炎和退伍军人身份引起的全因死亡率风险:一项多州马尔可夫转换分析
关节炎是一种与心血管疾病(CVD)和骨折有关的慢性炎症,在退伍军人和绝经后妇女中更为常见。本研究调查了绝经后退伍军人和非退伍军人妇女中关节炎的相关性以及关节炎与心血管疾病、骨折和死亡率风险的关系。我们分析了来自妇女健康倡议的135,790名绝经后妇女(3,436名退伍军人和132,354名非退伍军人)的纵向数据,这些妇女在入组(1993-1998)至2024年2月17日期间平均随访16年。采用回归和多状态马尔可夫模型来实现研究目标。在一个完全调整的logistic模型中,入组时(1993-1998)关节炎的患病率没有因退伍军人身份而异。变量选择产生了退伍军人中流行关节炎的5个关键预测因子和非退伍军人中的15个关键预测因子。在全校正Cox模型中,仅在非退伍军人中,流行关节炎与心血管疾病(风险比[HR] = 1.08, 95%可信区间[CI]: 1.05, 1.10)和全因死亡率(HR = 1.03, 95% CI: 1.01, 1.05)风险相关,但与骨折风险无关,与退伍军人身份无关。有关节炎的女性与无关节炎的女性相比,健康与心血管疾病、骨折与死亡之间的过渡概率更高。在非退伍妇女和退伍妇女中,后一种转变与关节炎的关系更为密切。总之,在绝经后妇女中,普遍的关节炎与从健康状态过渡到心血管疾病和从骨折到死亡的可能性更大有关,而那些没有在军队服役的妇女在骨折后的预后更差。
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 去求助
来源期刊
GeroScience
GeroScience Medicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍: GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.
期刊最新文献
Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea. Increased genetic protection against Alzheimer's disease in centenarians. Factor analysis of multimodal MRI, biofluid, and vascular biomarkers reveals latent constructs of brain health. Epigenetic information loss is a common feature of multiple diseases and aging. Quality of life in end of life.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1