Evidence map›Paper›PMID 25057259›Full record

ArticleDemographic research2013

Health and development among Mexican, black and white preschool children: An integrative approach using latent class analysis.

Nancy S Landale, Stephanie T Lanza, Marianne Hillemeier, R S Oropesa

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Article in Demographic research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Latent Class Analysis for Developmental Research.Child development perspectives · 2016
    Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nancy S LandaleThe Pennsylvania State University, Department of Sociology & Crime, Law and Justice, USA.
Stephanie T LanzaThe Pennsylvania State University, The Methodology Center, USA.
Marianne HillemeierThe Pennsylvania State University, Department of Health Policy and Administration, USA.
R S OropesaThe Pennsylvania State University, Department of Sociology & Crime, Law and Justice, USA.

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI COLLINS, LINDA M · 1996 to 2014
$24.5M
Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MATTHEWS, STEPHEN A · 2001 to 2016
$9.7M
PROJECT 3: HEALTH CARE ACCESS & UTILIZATION AMONG MEXICAN CHILDREN OF IMMIGRANTSP01HD062498 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANDALE, NANCY S · 2010 to 2015
$3.6M
NICHD NIH HHS P01 HD062498NICHD NIH HHS R24 HD041025NIDA NIH HHS P50 DA010075
6 · The paper itself

Abstract

backgroundBuilding on an emerging scientific consensus that the concept of child health should encompass chronic conditions, functional abilities, and developmental domains, we delineate the multidimensional health statuses of Mexican, non-Hispanic black, and non-Hispanic white preschool children in the United States. This integrative approach provides the foundation for an in-depth analysis of health disparities.

objectiveThe research objectives are: (1) to demonstrate a new methodological approach to identifying the major child health statuses; (2) to document differences in the prevalence of those health statuses among children in the largest ethnoracial groups in the U.S.; and (3) to assess whether key sources of disadvantage account for ethnoracial disparities in children's health.

methodsWith data from a nationally representative sample, we use latent class analysis to estimate a set of latent health statuses that capture the nature of health at age four. The latent class membership of children is predicted using multinomial logistic regression.

resultsMexican and non-Hispanic black children are more likely than non-Hispanic white children to fall into health statuses distinguished by low cognitive achievement and multiple developmental problems. Mexican children are the most likely to be classified into these problematic health statuses. This pattern persists in multivariate models that incorporate potential explanatory factors, including health at birth, socio-demographic characteristics, home environment, well-child care and center-based child care.

conclusionsLatent class analysis is a useful method for incorporating measures of physical conditions, functional problems, and development into a single analysis in order to identify key dimensions of childhood health and locate ethnoracial health disparities.

Identifiers

PMID25057259
PMCPMC4105264

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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.