Evidence map›Paper›PMID 41923023›Full record

ArticleBMC public health2026

Evaluating and shaping early childhood policy in New Mexico: using kindergarteners' developmental health as a population health measure.

Judith L Perrigo, Efren Aguilar, Joshua L Bader, Jordan Morales, Shirley Russ, Neal Halfon

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Judith L PerrigoDepartment of Social Welfare, University of California, Los Angeles (UCLA) Luskin School of Public Affairs, 337 Charles E. Young Dr. E, Los Angeles, CA, 90095, USA. jperrigo@luskin.ucla.edu.
Efren AguilarUCLA Center for Healthier Children, Families & Communities, 10990 Wilshire Blvd., Suite 260, Los Angeles, CA, 90024, USA.
Joshua L BaderUCLA Center for Healthier Children, Families & Communities, 10990 Wilshire Blvd., Suite 260, Los Angeles, CA, 90024, USA.
Jordan MoralesUCLA Center for Healthier Children, Families & Communities, 10990 Wilshire Blvd., Suite 260, Los Angeles, CA, 90024, USA.
Shirley RussUCLA Center for Healthier Children, Families & Communities, 10990 Wilshire Blvd., Suite 260, Los Angeles, CA, 90024, USA.
Neal HalfonUCLA Center for Healthier Children, Families & Communities, 10990 Wilshire Blvd., Suite 260, Los Angeles, CA, 90024, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew Mexico is the first state in the U.S. to implement a comprehensive, statewide assessment of children's developmental health in tandem with sweeping early childhood policy reforms. These reforms-including universal child care and preschool-aim to strengthen the early childhood ecosystem and improve population health. Yet, little is known about the developmental health of kindergarteners in the state or how demographic and neighborhood contexts shape readiness at school entry. This study provides the first population-level snapshot of developmental health among New Mexico's kindergarteners during a period of significant policy transformation.

methodsWe conducted a statewide cross-sectional study of kindergarteners assessed from April to May 2024. Data represents 116 school districts, 441 schools, 600 neighborhoods, and 1,380 classrooms (N = 18,974 children). Children's developmental health and school readiness was measured using the Early Development Instrument (EDI), which assesses five domains: physical health and well-being, social competence, emotional maturity, language and cognitive development, and communication skills and general knowledge. Neighborhood context was assessed using the National Neighborhood Equity Index (NNEI), which classifies neighborhoods into four levels (zero, low, medium, high inequity). Descriptive statistics were used to examine child characteristics, developmental outcomes, and neighborhood patterns. Multilevel regression models examined associations between EDI outcomes and child characteristics (sex, ethnorace, English Language Learner [ELL] status, and Individualized Education Program [IEP] status) and neighborhood context (NNEI).

resultsChildren had a mean age of 6.21 years with a 0.33 standard deviation, and 51% were boys. More than 70% of kindergarteners were overall on-track in developmental expectations across individual domains; however, fewer than 48% met expectations across all five domains simultaneously. Vulnerabilities were more pronounced among boys, African American/Black and American Indian/Alaska Native children, ELLs, and students with an IEP. 61% of children resided in neighborhoods with zero or low equity barriers. A clear social gradient was observed, with 23% of children in neighborhoods with NNEI level 'zero' demonstrated overall vulnerability in ≥ 1 domain, compared with 33% of children in neighborhoods with NNEI level 'high.'

conclusionsFindings indicate generally positive developmental health among New Mexico kindergarteners, yet significant disparities persist across demographic and neighborhood lines. The integration of bold policy reforms with a statewide developmental assessment represents a promising model for monitoring population health and identifying opportunities for targeted early childhood prevention and early intervention supports.

Indexed as

Child DevelopmentChild HealthHealth PolicyPopulation HealthChild, PreschoolCross-Sectional StudiesFemaleHumansMaleNew MexicoEarly Development Instrument (EDI)National Neighborhood Equity Index (NNEI)New MexicoPolicy reformPopulation healthPrevention and Early Intervention (PEI)

Identifiers

PMID41923023
PMCPMC13170178

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.