Evidence map›Paper›PMID 39841362›Full record

ArticleJournal of racial and ethnic health disparities2026

Social Networks, Health Support, and Dietary Intake in Mothers Receiving Home Visiting Services.

Sydney Miller, Sarah-Jeanne Salvy, Nenette Caceres, Trevor Pickering, Wandi Bruine de Bruin, Tom W Valente, John P Wilson, Kayla de la Haye

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 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

8 authors.

Sydney MillerKeck School of Medicine, University of Southern California, Los Angeles, USA. sm4866@drexel.edu.
Sarah-Jeanne SalvyResearch Center for Health Equity, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Nenette CaceresResearch Center for Health Equity, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Trevor PickeringKeck School of Medicine, University of Southern California, Los Angeles, USA.
Wandi Bruine de BruinCenter for Economic and Social Research, Arts and Sciences, Dornsife College of Letters, University of Southern California, Los Angeles, USA.
Tom W ValenteKeck School of Medicine, University of Southern California, Los Angeles, USA.
John P WilsonKeck School of Medicine, University of Southern California, Los Angeles, USA.
Kayla de la HayeCenter for Economic and Social Research, Arts and Sciences, Dornsife College of Letters, University of Southern California, Los Angeles, USA.

Funding

Evaluating environmental control (AVOID) and inhibitory control (RESIST) strategies to improve weight management outcomesR01DK130851 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI Sarah-Jeanne Salvy · 2022 to 2026
$3.5M
Impact of Built, Social, and Housing Environments on Obesity in Low-Income ChildrenR01HD096293 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASHLESHA DATAR · 2018 to 2026
$3.4M
In-home obesity prevention to reach low-income infants through maternal and social transmissionR01HD092483 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DE LA HAYE, KAYLA, SALVY, SARAH-JEANNE · 2017 to 2021
$2.7M
Social networks, neighborhood food environments, diet, and obesity risk in low-income adultsF31HL160131 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILLER, SYDNEY NICOLE · 2021 to 2022
$70k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD092483-01Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD096293National Science Foundation S&CC-IRG Award 2125616NHLBI NIH HHS F31 HL160131NICHD NIH HHS R01 HD092483NICHD NIH HHS R01 HD096293NIDDK NIH HHS R01 DK130851
6 · The paper itself

Abstract

Home visiting programs (HVPs) provide services to pregnant individuals and parents of young children to improve families' health and well-being. However, little is known about these families' social contexts. This study explores the social networks and dietary intake of mothers enrolled in a HVP, focusing on health support and health undermining. Cross-sectional data from 76 mothers enrolled in a HVP in Los Angeles County were collected by interview, using validated measures. Almost all mothers (95.7%) had one or more health supporters, while 55.1% had one or more health underminers. Some key findings related to health support were that mothers with higher income had more health supporters in their network (b = 1.36, p = 0.03), and network members were more likely to be health supporters if they were a romantic partner (OR = 3.41, p < 0.001), a resource-based connection (OR = 3.46, p < 0.01), or if they lived in the same neighborhood as the mother (OR = 1.68, p < 0.05). Further, having a health supporter who lived in the same neighborhood was associated with consuming more (1 + daily servings) vegetables (OR = 3.0, p < 0.05) and no sugar-sweetened beverages (OR = 0.29, p < 0.05). There were fewer findings related to health undermining: network members more likely to be underminers were romantic partners (OR = 8.93, p < .0001), and those perceived as having overweight or obesity (OR = 3.98, p < 0.001), but health undermining did not predict dietary intake. Overall, a broad set of network features were linked with health support, and given that some types of support were linked with better diet, network-based diet interventions leveraging health support may be effective in this priority population.

Indexed as

DietHouse CallsMothersSocial SupportAdultCross-Sectional StudiesFemaleHumansLos AngelesPregnancyYoung AdultDiet disparitiesHealth supportHealth underminingMaternal healthSocial networks

Identifiers

PMID39841362
PMCPMC12863036

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.