对 "我们所有人 "研究计划数据库进行评估,以检查累积压力。

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shawna Beese, Demetrius A Abshire, Trey L DeJong, Jason T Carbone
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引用次数: 0

摘要

目的:评估美国国立卫生研究院(NIH)"我们所有人 "研究计划数据库作为研究美国成年人异质负荷和压力的潜在数据源的价值:评估美国国立卫生研究院(NIH)"我们所有人 "研究计划数据库,将其作为研究美国成年人的静态负荷和压力的潜在数据源:我们对 "我们所有人 "数据库进行了评估,以确定原有的 10 个静态负荷生物标志物、静态负荷指数-5 (ALI-5)、静态负荷五项和 Cohen 感知压力量表 (PSS) 的样本大小。我们进行了先验、事后和敏感性功率分析,以确定进行虚假假设显著性检验的样本量:结果:对于最初的 10 种静态负荷生物标志物,每种测量方法的最大响应人数为 21 人;对于 ALI-5 测量方法,最大响应人数为 150 人;对于 Allostatic Load Five 测量方法,最大响应人数为 22 476 人;对于 PSS 测量方法,最大响应人数为 90 583 人:讨论:美国国立卫生研究院的 "我们所有人 "研究计划非常适合使用 "静态负荷五项 "来研究静态负荷,使用 PSS 来研究心理压力:结论:改进 "我们所有人 "项目的生物标志物数据收集工作将有助于对美国成年人的静态负荷进行更细致的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of the All of Us Research Program database to examine cumulative stress.

Objectives: To evaluate the NIH All of Us Research Program database as a potential data source for studying allostatic load and stress among adults in the United States (US).

Materials and methods: We evaluated the All of Us database to determine sample size significance for original-10 allostatic load biomarkers, Allostatic Load Index-5 (ALI-5), Allostatic Load Five, and Cohen's Perceived Stress Scale (PSS). We conducted a priori, post hoc, and sensitivity power analyses to determine sample sizes for conducting null hypothesis significance tests.

Results: The maximum number of responses available for each measure is 21 participants for the original-10 allostatic load biomarkers, 150 for the ALI-5, 22 476 for Allostatic Load Five, and n = 90 583 for the PSS.

Discussion: The NIH All of Us Research Program is well-suited for studying allostatic load using the Allostatic Load Five and psychological stress using PSS.

Conclusion: Improving biomarker data collection in All of Us will facilitate more nuanced examinations of allostatic load among US adults.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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