Evidence map›Paper›PMID 35558535›Full record

ArticleFrontiers in public health2022

Latina Women in Academia: Challenges and Opportunities.

Ana F Abraído-Lanza, Sandra E Echeverria, Karen R Flórez, Sonia Mendoza-Grey

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ana F Abraído-LanzaDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, United States.
Sandra E EcheverriaDepartment of Public Health Education, School of Health and Human Sciences, The University of North Carolina at Greensboro, Greensboro, NC, United States.
Karen R FlórezDepartment of Environmental, Occupational and Geospatial Sciences, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY, United States.
Sonia Mendoza-GreyDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latina women and other ethnic and racial groups continue to be underrepresented in science, technology, engineering, and mathematics (STEM) fields, including public health. This underrepresentation of people from diverse backgrounds and lived experiences in academic public health and other scientific disciplines is a form of epistemic oppression, exclusion that hinders contribution to knowledge production and advancement. Our analysis of 2021 data from the Association of Schools and Programs of Public Health indicates that Latinos/as represented only 6.0% of all instructional faculty and 6.1% of all tenured faculty at schools and programs of public health. We discuss the ways in which sociopolitical contexts, family-level dynamics and gendered norms, and institutional contexts hamper Latinas' full participation in academia. We propose solutions such as redefining metrics for success, leadership accountability, equity analyses, cluster hiring initiatives, and instituting structured mentoring and leadership programs. Bold actions are needed if we are to advance the scientific enterprise and address the diversity and equity problem in public health.

Indexed as

FacultyHispanic or LatinoFemaleHumansLeadershipPublic HealthacademiaLatinas in higher educationoppressed grouppublic healthracism

Identifiers

PMID35558535
PMCPMC9087036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.