ArticleWomen's health issues : official publication of the Jacobs Institute of Women's Health2019
Gender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort.
Article in Women's health issues : official publication of the Jacobs Institute of Women's Health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 81 citations in OpenAlex.
- A contextual genomic perspective on physical activity and its relationship to health, well being and illness.Nature genetics · 2025Pooled it
- An Evidence Map of the Women Veterans' Health Literature, 2016 to 2023: A Systematic Review.JAMA network open · 2025Pooled it
- Pooled it
- Feasibility, acceptability, and effectiveness of web-based and mobile PTSD Coach: a systematic review and meta-analysis.European journal of psychotraumatology · 2023Pooled it
- Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions.Nature neuroscience · 2021Pooled it
- Discontinuation of levothyroxine therapy in patients with subclinical hypothyroidism: a pilot randomized clinical trial.Endocrine · 2025Trial
- A reduction in cigarette smoking improves health-related quality of life and does not worsen psychiatric symptoms in individuals with serious mental illness.Addictive behaviors · 2024Trial
- Enhancing recruitment methodologies: leveraging the Tailored Design Method to survey populations with varied engagement in healthcare.BMC medical research methodology · 2026Article
- The neuronal chromatin landscape in brains from individuals with schizophrenia is linked to early fetal development.Nature neuroscience · 2025Article
- Insights Into Veterans' Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025Article
- An evaluation and comparison of traumatic brain injury data sources within the VA Million Veteran Program: A descriptive epidemiological study.Journal of psychiatric research · 2025Article
- Modeling diagnostic code dropout of schizophrenia in electronic health records improves phenotypic data quality and cross-ancestry transferability of polygenic scores.medRxiv : the preprint server for health sciences · 2025Article
- Racial and Ethnic Disparities in Dietary Intake and Quality Among United States Veterans.Current developments in nutrition · 2024Article
- An extra X chromosome among adult women in the Million Veteran Program: A more benign perspective of trisomy X.American journal of medical genetics. Part C, Seminars in medical genetics · 2024Article
- Migraine Prevalence, Environmental Risk, and Comorbidities in Men and Women Veterans.JAMA network open · 2024Article
- Prevalence, Morbidity, and Mortality of Men With Sex Chromosome Aneuploidy in the Million Veteran Program Cohort.JAMA network open · 2024Article
- Prospective study design and data analysis in UK Biobank.Science translational medicine · 2024Review
- Strategies for enhancing the representation of women in clinical trials: an evidence map.Systematic reviews · 2024Article
- Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism.Nature genetics · 2023Article
- Evaluating rates of chiropractic use and utilization by patient sex within the United States Veterans Health Administration: a serial cross-sectional analysis.Chiropractic & manual therapies · 2023Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundThe Department of Veterans Affairs Million Veteran Program (MVP) is the largest ongoing cohort program of its kind, with 654,903 enrollees as of June 2018. The objectives of this study were to examine gender differences in the MVP cohort with respect to response and enrollment rates; demographic, health, and health care characteristics; and prevalence of self-reported health conditions.
methodsThe MVP Baseline Survey was completed by 415,694 veterans (8% women), providing self-report measures of demographic characteristics, health status, and medical history.
resultsRelative to men, women demonstrated a higher positive responder rate (23.0% vs. 16.0%), slightly higher enrollment rate (13.5% vs. 12.9%), and, among enrollees, a lower survey completion rate (59.7% vs. 63.8%). Women were younger, more racially diverse, had higher educational attainment, and were less likely to be married or cohabitating with a partner than men. Women were more likely to report good to excellent health status but poorer physical fitness, and less likely to report lifetime smoking and drinking than men. Compared with men, women veterans showed an increased prevalence of musculoskeletal conditions, thyroid problems, gastrointestinal conditions, migraine headaches, and mental health disorders, as well as a decreased prevalence of gout, cardiovascular diseases, high cholesterol, diabetes, and hearing problems.
conclusionsThese results revealed some substantial gender differences in the research participation rates, demographic profile, health characteristics, and prevalence of health conditions for veterans in the MVP cohort. Findings highlight the need for tailoring recruitment efforts to ensure representation of the increasing women veteran population receiving care through the Veterans Health Administration.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.