美国 POINTER 试验中赤字累积性虚弱与生活方式基线标志物之间的关系。

Mark A Espeland, Yitbarek N Demesie, Kay Loni Olson, Samuel N Lockhart, Sarah E Tomaszewski Farias, Maryjo L Cleveland, Christy C Tangney, Lucia Crivelli, Heather M Snyder, Michele K York, Laura D Baker, Rachel A Whitmer, Rena R Wing, Katelyn R Garcia, Kathryn E Callahan
{"title":"美国 POINTER 试验中赤字累积性虚弱与生活方式基线标志物之间的关系。","authors":"Mark A Espeland, Yitbarek N Demesie, Kay Loni Olson, Samuel N Lockhart, Sarah E Tomaszewski Farias, Maryjo L Cleveland, Christy C Tangney, Lucia Crivelli, Heather M Snyder, Michele K York, Laura D Baker, Rachel A Whitmer, Rena R Wing, Katelyn R Garcia, Kathryn E Callahan","doi":"10.1093/gerona/glae279","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Multidomain lifestyle interventions may have the potential to slow biological aging as captured by deficit accumulation frailty indices. We describe the distribution and composition of the 49-component frailty index (FI) developed by the U.S. POINTER clinical trial team of investigators and assess its cross-sectional associations with sociodemographic factors and markers chosen to be representative of behaviors targeted by the trial's multidomain interventions.</p><p><strong>Methods: </strong>We draw baseline data from the 2111 volunteers enrolled in U.S. POINTER who were ages 60-79 years and at increased risk for cognitive decline. Frailty components were grouped into nine domains. Associations that FI scores and their domains had with behavioral markers were described with correlations and canonical correlation.</p><p><strong>Results: </strong>The 25th, 50th, and 75th percentiles of the frailty index score distribution were 0.153, 0.189, and 0.235. Higher frailty scores tended to occur among individuals who were older, male, and living in areas of greater deprivation (all p<0.001). They were also associated with poorer self-reported diet, less physical activity, and higher Framingham risk scores (all p<0.001). Associations were diffusely distributed among the frailty component domains, indicating that no individual domain was dominating associations.</p><p><strong>Conclusions: </strong>The U.S. POINTER deficit accumulation frailty index had expected relationships with sociodemographic factors and sensitivity to the behaviors targeted by the trial's interventions. Our analysis supports its use as a secondary outcome to assess whether the multidomain interventions differentially impact an established marker of biological aging.</p>","PeriodicalId":94243,"journal":{"name":"The journals of gerontology. Series A, Biological sciences and medical sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations Between Deficit Accumulation Frailty and Baseline Markers of Lifestyle in the US POINTER Trial.\",\"authors\":\"Mark A Espeland, Yitbarek N Demesie, Kay Loni Olson, Samuel N Lockhart, Sarah E Tomaszewski Farias, Maryjo L Cleveland, Christy C Tangney, Lucia Crivelli, Heather M Snyder, Michele K York, Laura D Baker, Rachel A Whitmer, Rena R Wing, Katelyn R Garcia, Kathryn E Callahan\",\"doi\":\"10.1093/gerona/glae279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Multidomain lifestyle interventions may have the potential to slow biological aging as captured by deficit accumulation frailty indices. We describe the distribution and composition of the 49-component frailty index (FI) developed by the U.S. POINTER clinical trial team of investigators and assess its cross-sectional associations with sociodemographic factors and markers chosen to be representative of behaviors targeted by the trial's multidomain interventions.</p><p><strong>Methods: </strong>We draw baseline data from the 2111 volunteers enrolled in U.S. POINTER who were ages 60-79 years and at increased risk for cognitive decline. Frailty components were grouped into nine domains. Associations that FI scores and their domains had with behavioral markers were described with correlations and canonical correlation.</p><p><strong>Results: </strong>The 25th, 50th, and 75th percentiles of the frailty index score distribution were 0.153, 0.189, and 0.235. Higher frailty scores tended to occur among individuals who were older, male, and living in areas of greater deprivation (all p<0.001). They were also associated with poorer self-reported diet, less physical activity, and higher Framingham risk scores (all p<0.001). Associations were diffusely distributed among the frailty component domains, indicating that no individual domain was dominating associations.</p><p><strong>Conclusions: </strong>The U.S. POINTER deficit accumulation frailty index had expected relationships with sociodemographic factors and sensitivity to the behaviors targeted by the trial's interventions. Our analysis supports its use as a secondary outcome to assess whether the multidomain interventions differentially impact an established marker of biological aging.</p>\",\"PeriodicalId\":94243,\"journal\":{\"name\":\"The journals of gerontology. Series A, Biological sciences and medical sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The journals of gerontology. Series A, Biological sciences and medical sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/gerona/glae279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The journals of gerontology. Series A, Biological sciences and medical sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glae279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:多领域的生活方式干预可能会减缓生物衰老,这一点可以通过虚弱指数的赤字累积来反映。我们描述了由美国 POINTER 临床试验研究小组开发的 49 个成分的虚弱指数(FI)的分布和组成,并评估了其与社会人口学因素和标记物的横断面关联,这些标记物被选作试验的多领域干预措施所针对的行为的代表:我们从参加美国 POINTER 项目的 2111 名志愿者中提取了基线数据,这些志愿者的年龄在 60-79 岁之间,认知能力下降的风险较高。虚弱成分被分为九个领域。用相关性和典型相关性描述了 FI 分数及其领域与行为标记的关系:虚弱指数得分分布的第 25、50 和 75 百分位数分别为 0.153、0.189 和 0.235。年龄较大、男性和生活在贫困地区的人的虚弱指数得分往往较高(均为 0.153、0.189 和 0.235):美国 POINTER 赤字累积虚弱指数与社会人口因素和试验干预目标行为的敏感性之间存在预期的关系。我们的分析支持将其作为次要结果,以评估多领域干预措施是否会对生物衰老的既定标志产生不同影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations Between Deficit Accumulation Frailty and Baseline Markers of Lifestyle in the US POINTER Trial.

Background: Multidomain lifestyle interventions may have the potential to slow biological aging as captured by deficit accumulation frailty indices. We describe the distribution and composition of the 49-component frailty index (FI) developed by the U.S. POINTER clinical trial team of investigators and assess its cross-sectional associations with sociodemographic factors and markers chosen to be representative of behaviors targeted by the trial's multidomain interventions.

Methods: We draw baseline data from the 2111 volunteers enrolled in U.S. POINTER who were ages 60-79 years and at increased risk for cognitive decline. Frailty components were grouped into nine domains. Associations that FI scores and their domains had with behavioral markers were described with correlations and canonical correlation.

Results: The 25th, 50th, and 75th percentiles of the frailty index score distribution were 0.153, 0.189, and 0.235. Higher frailty scores tended to occur among individuals who were older, male, and living in areas of greater deprivation (all p<0.001). They were also associated with poorer self-reported diet, less physical activity, and higher Framingham risk scores (all p<0.001). Associations were diffusely distributed among the frailty component domains, indicating that no individual domain was dominating associations.

Conclusions: The U.S. POINTER deficit accumulation frailty index had expected relationships with sociodemographic factors and sensitivity to the behaviors targeted by the trial's interventions. Our analysis supports its use as a secondary outcome to assess whether the multidomain interventions differentially impact an established marker of biological aging.

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
自引率
0.00%
发文量
0
×
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