Sex differences in pain in 2 large and diverse US databases.

IF 4.3 Q2 NEUROSCIENCES
Pain Reports Pub Date : 2025-12-12 eCollection Date: 2026-02-01 DOI:10.1097/PR9.0000000000001371
Soyoung Han, Ariadne Letra, Anna Alessandri-Bonetti, Davis Thomas, Flavia P Kapos, Linda Sangalli
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引用次数: 0

Abstract

Introduction: Sex differences have been recognized as significant influences on disease suceptibility and progression.

Objectives: This study aimed to assess sex differences in pain prevalence using 2 large and diverse US data sources, All of Us and Epic Cosmos.

Methods: Pain concepts, labels used to describe type, chronicity, and body locations in electronic health records, were identified from 254,639 individuals in All of Us and 292,549,808 in Epic Cosmos data. Prevalence ratios (PRs) and 95% confidence intervals comparing the prevalence between females and males were computed to determine sex differences in each pain concept, in each data set. Ratios >1 and <1 denoted higher prevalence among females and males, respectively.

Results: The search yielded 195 pain concepts available in both All of Us and Epic Cosmos. Of these, 72.9% in All of Us and 82.6% in Epic Cosmos showed higher prevalence among females. Higher prevalence among men was observed in 8.9% (All of Us) and 13.3% (Epic Cosmos) of pain concepts, mainly involving the chest, lower limbs, and inguinal region. Between 4.1% and 18.2% of the concepts did not show evidence of differences in prevalence by sex. Only one conditions displayed opposing direction in PRs, possibly due to differences in sample composition and/or variation in clinical assignment criteria for pain concepts.

Conclusion: Higher pain prevalence among females in the United States was observed for most pain concepts in 2 large and diverse databases. These results underscore the importance of pain research, prevention, and management approaches stratified by sex.

Abstract Image

美国两大数据库中疼痛的性别差异。
性别差异已被认为对疾病的易感性和进展有重要影响。目的:本研究旨在通过美国两大数据来源(All of US和Epic Cosmos)评估疼痛患病率的性别差异。方法:从《All of Us》中的254,639名个体和《Epic Cosmos》中的292,549,808名个体中确定疼痛概念、用于描述电子健康记录中类型、慢性和身体位置的标签。计算患病率比(pr)和比较男女患病率的95%置信区间,以确定每个数据集中每种疼痛概念的性别差异。比率>1和结果:搜索产生了195个疼痛概念,在我们所有人和史诗宇宙中都可用。其中,《All Of Us》中的72.9%和《Epic Cosmos》中的82.6%的女性患病率更高。男性中较高的患病率为8.9% (All of Us)和13.3% (Epic Cosmos),疼痛概念主要涉及胸部、下肢和腹股沟区域。4.1%至18.2%的概念没有显示出性别流行率差异的证据。只有一种情况在pr中显示相反的方向,可能是由于样本组成的差异和/或疼痛概念的临床分配标准的变化。结论:在2个大型和多样化的数据库中,大多数疼痛概念在美国女性中都有较高的疼痛患病率。这些结果强调了疼痛研究、预防和管理方法按性别分层的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pain Reports
Pain Reports Medicine-Anesthesiology and Pain Medicine
CiteScore
7.50
自引率
2.10%
发文量
93
审稿时长
8 weeks
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