Evidence map›Paper›PMID 36001540›Full record

ArticlePloS one2022

A latent class analysis to identify socio-economic and health risk profiles among mothers of young children predicting longitudinal risk of food insecurity.

Sajeevika Saumali Daundasekara, Brittany R Schuler, Daphne C Hernandez

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Sajeevika Saumali DaundasekaraDepartment of Research, Cizik School of Nursing, University of Texas Health Science Center, Houston, Texas, United States of America.ORCID 0000-0002-9913-1937
Brittany R SchulerSchool of Social Work, Temple University, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-2869-6260
Daphne C HernandezDepartment of Research, Cizik School of Nursing, University of Texas Health Science Center, Houston, Texas, United States of America.ORCID 0000-0002-5232-749X

Funding

Future of Families and Child Wellbeing Study Summer Data WorkshopR25HD074544 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Amanda Geller, Julien O Teitler · 2013 to 2026
$1.5M
Dimensions of Early Life Adversity and Self-Regulation: Pediatric Obesity Risk Pathways in Low Income CommunitiesK01MD015326 · NIMHD · TEMPLE UNIV OF THE COMMONWEALTH · PI SCHULER, BRITTANY R · 2020 to 2022
$385k
NICHD NIH HHS R25 HD074544NIMHD NIH HHS K01 MD015326NIMHD NIH HHS L60 MD016601
6 · The paper itself

Abstract

backgroundThe purpose of the current study was to use a social determinants of health (SDOH) framework and latent class analysis (LCA) to identify risk classes among mothers with young children. The risk classes were then used to predict food insecurity severity and stability/change of food insecurity over time.

methodThe secondary data from the Fragile Families and Child Wellbeing Study (n = 2,368; oversampled for non-marital births) was used in this study. Household food insecurity was assessed using the 18-items USDA Food Security Survey. A seventeen-item inventory of educational, economic stability, incarceration (i.e. social context), neighborhood safety (i.e. neighborhood and built environment), health and health care, and substance use behaviors at baseline/Year-1 were included to identify SDOH risk indicators in the LCA. Covariate-adjusted multinomial logistic regression models were used to examine the relation between risk classes at Year-1 and the severity of food insecurity at Year-3 and stability/change of food insecurity between Year-3 and Year -5.

resultsLCA identified five risk classes: High utility and medical hardship (Class 1), high housing and employment hardship, high substance use, and incarceration (Class 2), high housing and medical hardship, poor health, and health care (Class 3), high employment hardship and low-income (Class 4) and low-risk (Class 5). The Class 1, Class 2 and Class 3 had greater odds of low food security and very low food security at Year-3 compared to Class 4. In addition, compared to Class 4, Class 1, Class 2 and Class 3 had greater odds unstable food insecurity and persistent food insecurity over time.

conclusionsLCA could be used to identify distinctive family system risk profiles predictive of food insecurity. The generated risk profiles could be used by health care providers as an additional tool to identify families in need for resources to ensure household food security.

Indexed as

Food SupplySubstance-Related DisordersChildChild, PreschoolFamily CharacteristicsFemaleFood InsecurityHumansLatent Class AnalysisPoverty

Identifiers

PMID36001540
PMCPMC9401138

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LicenceCC BY
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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.