Evidence map›Paper›PMID 38944757›Full record

ArticleAmerican journal of epidemiology2024

Getting precise about gender and sex measurement: a primer for epidemiologists.

Arjee J Restar, Elle Lett, Neia Prata Menezes, Andrea R Molino, Tonia C Poteat, Lorraine T Dean, Jennifer L Glick, Kellan E Baker, S Wilson Cole

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Arjee J RestarDepartment of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, United States.ORCID 0000-0003-2992-8198
Elle LettCenter for Applied Transgender Studies, Chicago, IL 60657, United States.ORCID 0000-0002-6590-7821
Neia Prata MenezesCenter for AIDS Prevention Studies, Division of Prevention Sciences, School of Medicine, University of California, San Francisco, CA 94158, United States.ORCID 0000-0001-9597-7348
Andrea R MolinoDepartment of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, United States.ORCID 0000-0002-7656-4289
Tonia C PoteatDivision of Healthcare in Adult Populations, Duke University School of Nursing, Durham, NC 27710, United States.ORCID 0000-0001-6541-3787
Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0002-2272-2755
Jennifer L GlickDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0003-3323-1983
Kellan E BakerWhitman-Walker Institute, Washington, DC 200320, United States.ORCID 0000-0002-9716-7936
S Wilson ColeDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0002-9694-3091

Funding

TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Research Education Institute for Dynamic Scholars (REIDS)R25MH087217 · NIMH · YALE UNIVERSITY · PI Jasmine Abrams, Trace S Kershaw · 2010 to 2026
$3.9M
HIV risk, PrEP disparities, and stigma among Women who use Drugs(WWUD) in the U.S. South, with attention to race and sexual orientation: A mixed-methodintersectionality studyK01DA059328 · NIDA · LSU HEALTH SCIENCES CENTER · PI Jennifer L Glick · 2023 to 2026
$790k
Preferences for PrEP in Tanzanian Women at Heightened Risk of HIV InfectionK01MH114715 · NIMH · JOHNS HOPKINS UNIVERSITY · PI COLE, SAM WILSON · 2017 to 2021
$732k
National Institute of Drug Abuse K01DA059328NIDA NIH HHS K01 DA059328NIMH NIH HHS K01 MH114715NIMH NIH HHS R25 MH087217NIMH NIH HHS R25MH087217NIMH NIH HHS T32 MH019105Research Education Institute for Diverse Scholars
6 · The paper itself

Abstract

Accurately measuring gender and sex is crucial in public health and epidemiology. Iteratively reexamining how variables-including gender and sex-are conceptualized and operationalized is necessary to achieve impactful research. Reexamining gender and sex advances epidemiology toward its goals of health promotion and disease elimination. While we cannot reduce the complexities of sex and gender to simply an issue of measurement, striving to capture these concepts and experiences accurately must be an ongoing dialogue and practice-to the benefit of the field and population health. We assert that epidemiology must counteract misconceptions and accurately measure gender and sex in epidemiology. We aim to summarize existing critiques and guiding principles in measuring gender and sex that can be applied in practice.

Indexed as

EpidemiologistsEpidemiologyFemaleHumansMalePublic HealthSex Factorsgendermeasurementnonbinarysextransgender

Identifiers

PMID38944757
PMCPMC11637520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.