Incorporating reproductive system history data into cardiovascular nursing research to advance women’s health

Author:

Roberts Davis Mary1ORCID,Hiatt Shirin O1ORCID,Gupta Nandita2,Dieckmann Nathan F1,Hansen Lissi1ORCID,Denfeld Quin E1ORCID

Affiliation:

1. School of Nursing, Oregon Health & Science University , 3455 S.W. U.S. Veterans Hospital Road, Portland, OR 97239 , USA

2. Knight Cardiovascular Institute, Oregon Health & Science University , 3303 S. Bond Avenue, Building 1, Portland, OR 97239 , USA

Abstract

Abstract The lack of sex-specific variables, such as reproductive system history (RSH), in cardiovascular research studies is a missed opportunity to address the cardiovascular disease (CVD) burden, especially among women who face sex-specific risks of developing CVD. Collecting RSH data from women enrolled in research studies is an important step towards improving women’s cardiovascular health. In this paper, we describe two approaches to collecting RSH in CVD research: extracting RSH from the medical record and participant self-report of RSH. We provide specific examples from our own research and address common data management and statistical analysis problems when dealing with RSH data in research.

Funder

Office of Research on Women’s Health

Eunice Kennedy Shriver National Institute of Child Health & Human Development

NIH

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

Reference46 articles.

1. The integration of sex and gender considerations into biomedical research: lessons from international funding agencies;White;J Clin Endocrinol Metab,2021

2. Reinforcing rigor and reproducibility expectations for use of sex and gender in cardiovascular research;Lindsey;Am J Physiol Heart Circ Physiol,2021

3. Are we moving the dial? Canadian health research funding trends for women’s health, 2S/LGBTQ + health, sex, or gender considerations;Stranges;Biol Sex Differ,2023

4. Sixth annual go red for women issue;Bozkurt;Circulation,2022

5. Mind the gap: reporting and analysis of sex and gender in health research in Australia, a cross-sectional study;Merone;Womens Health Rep (New Rochelle),2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3