Chelsea N Wong, Michael P Wilczek, Louisa H Smith, Jordon D Bosse, Erin L Richard, Robert Cavanaugh, Justin Manjourides, Ariela R Orkaby, Brianne Olivieri-Mui
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Regression was used to assess the association between frailty, age, and gender. Validation of the AoU-FI used Cox proportional hazard models to test the association between frailty categories (robust <0.15, 0.15 ≤ pre-frail ≤ 0.25, frail >0.25) and mortality.</p><p><strong>Results: </strong>There were 9 110 OSGM and 67 420 non-OSGM with sufficient data to calculate AoU-FI; 41% OSGM versus 50% non-OSGM were robust, whereas 34% versus 32% were pre-frail, and 26% versus 19% were frail. Mean AoU-FI was 0.19 (95% confidence interval [CI]: 0.187, 0.191) for OSGM and 0.168 (95% CI: 0.167, 0.169) for non-OSGM. Compared to robust, odds of mortality were higher among frail OSGM (odds ratio [OR] 6.40; 95% CI: 1.84, 22.23) and non-OSGM (OR 3.96; 95% CI: 2.96, 5.29).</p><p><strong>Conclusions: </strong>The AoU-FI identified a higher burden of frailty, increased risk of mortality, and an attenuated impact of age on frailty among OSGM compared to non-OSGM. 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引用次数: 0
摘要
背景:尽管已知老年性和性别少数成年人(OSGM)的健康状况存在差异,但虚弱的患病率尚不清楚。本研究的目的是为All of Us数据库开发和验证缺陷累积虚弱指数(AoU-FI),以描述和比较OSGM和非OSGM参与者之间的虚弱。方法:使用标准化方法开发的AoU FI由50岁以上成年人的基线调查结果中的33个缺陷组成。OSGM自我报告为“不直”或出生时性别和性别不一致。AoU FI的描述性统计特征。回归用于评估虚弱、年龄和性别之间的相关性。AoU FI的验证使用Cox比例风险模型来测试虚弱类别(稳健0.25)与死亡率之间的相关性。结果:OSGM有9 110例,非OSGM有67 420例,有足够的数据计算AoU FI;41%的OSGM与50%的非OSGM是稳健的,34%与32%是前期脆弱的,26%与19%是脆弱的。OSGM的平均AoU FI为0.19(95%置信区间[CI]:0.1870.191),非OSGM的为0.168(95%可信区间:0.167,0.169)。与稳健型相比,脆弱型OSGM的死亡率更高(比值比[OR]6.40;95%CI:1.84,22.23)和非OSGM(比值比3.96;95%CI:2.96,5.29)。未来的工作需要了解虚弱是如何影响OSGM人群的。
Frailty Among Sexual and Gender Minority Older Adults: The All of Us Database.
Background: Despite known disparities in health status among older sexual and gender minority adults (OSGM), the prevalence of frailty is unknown. The aim of this study was to develop and validate a deficit-accumulation frailty index (AoU-FI) for the All of Us database to describe and compare frailty between OSGM and non-OSGM participants.
Methods: Developed using a standardized approach, the AoU-FI consists of 33 deficits from baseline survey responses of adults aged 50+. OSGM were self-reported as "not straight" or as having discordant gender and sex assigned at birth. Descriptive statistics characterized the AoU-FI. Regression was used to assess the association between frailty, age, and gender. Validation of the AoU-FI used Cox proportional hazard models to test the association between frailty categories (robust <0.15, 0.15 ≤ pre-frail ≤ 0.25, frail >0.25) and mortality.
Results: There were 9 110 OSGM and 67 420 non-OSGM with sufficient data to calculate AoU-FI; 41% OSGM versus 50% non-OSGM were robust, whereas 34% versus 32% were pre-frail, and 26% versus 19% were frail. Mean AoU-FI was 0.19 (95% confidence interval [CI]: 0.187, 0.191) for OSGM and 0.168 (95% CI: 0.167, 0.169) for non-OSGM. Compared to robust, odds of mortality were higher among frail OSGM (odds ratio [OR] 6.40; 95% CI: 1.84, 22.23) and non-OSGM (OR 3.96; 95% CI: 2.96, 5.29).
Conclusions: The AoU-FI identified a higher burden of frailty, increased risk of mortality, and an attenuated impact of age on frailty among OSGM compared to non-OSGM. Future work is needed to understand how frailty affects the OSGM population.
期刊介绍:
Publishes articles representing the full range of medical sciences pertaining to aging. Appropriate areas include, but are not limited to, basic medical science, clinical epidemiology, clinical research, and health services research for professions such as medicine, dentistry, allied health sciences, and nursing. It publishes articles on research pertinent to human biology and disease.