Evidence map›Paper›PMID 40166665›Full record

ArticleSSM - population health2025

Examining variation within Hispanic ethnicity: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) of birthweight inequities in New York City, 2012-2019.

Luisa N Borrell, Christina I Nieves, Clare R Evans

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. From Averages to Heterogeneity: A Plain-Language Guide to MAIHDA in Epidemiology.International journal of social determinants of health and health services · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Variance partition that eludes intuition.SSM - population health · 2025
    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

3 authors.

Luisa N BorrellDepartment of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA.
Christina I NievesDepartment of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA.
Clare R EvansDepartment of Sociology, University of Oregon, Eugene, OR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birthweight inequities in the United States have been persistent with variations observed across maternal age, race/ethnicity, education, and nativity status. However, the Hispanic/Latino population is often treated as a monolithic category, ignoring within-group diversity and heterogeneity of health outcomes. This study employed an intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) to examine birthweight inequities among singleton births in New York City from 2012 to 2019 (n = 819,920 records of singleton births) by maternal age, race/ethnicity, education, and nativity status, with particular attention to within-group heterogeneity among Hispanic/Latino mothers. Birthweight was measured in grams and was considered continuous for analytical purposes. The analysis was conducted using both the aggregate "Hispanic" category and disaggregated into Hispanic subgroups, based on the country/region of birth as part of the racial/ethnic categories. We found that 2.7%-3.2% of the variation in birthweight means among NYC women lies between intersectional strata, suggesting both meaningful between-stratum birthweight inequities and a high-degree of between-person birthweight variation. The finding of between-stratum inequities is consistent with a difference of 384.7g. between strata with the highest and lowest predicted birthweight means. We found consistent additive inequity patterns in birthweight by maternal age, race/ethnicity, educational attainment, and nativity status. The latter explained 81.2% of the variation in birthweight inequities. While attention to subgroup differences is often limited by sample size, intersectional MAIHDA allows for the identification of between- and within-strata variations regardless of whether Hispanic ethnicity was treated as an aggregate or subgroup based on country/region of origin.

Indexed as

BirthweightHealth inequitiesIntersectionalityMAIHDAMultilevelNew York CityRace/ethnicity

Identifiers

PMID40166665
PMCPMC11956109

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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.