Evidence map›Paper›PMID 40071980›Full record

ArticleWomen's health (London, England)

Associations between social-network characteristics and postpartum health behaviors and weight among a sample of women who were overweight/obese pre-pregnancy.

Jacqueline Kent-Marvick, Bob Wong, Sara E Simonsen, Kristin G Cloyes, Michelle Precourt Debbink, Cristina Creal, Kayla de la Haye

Abstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jacqueline Kent-MarvickCollege of Nursing, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0001-8850-2539
Bob WongCollege of Nursing, University of Utah, Salt Lake City, UT, USA.
Sara E SimonsenCollege of Nursing, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-0681-7671
Kristin G CloyesSchool of Nursing, Oregon Health and Science University, Portland, OR, USA.ORCID 0000-0003-2139-7716
Michelle Precourt DebbinkSchool of Medicine, University of Utah, Salt Lake City, UT, USA.
Cristina CrealCollege of Nursing, University of Utah, Salt Lake City, UT, USA.
Kayla de la HayeCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-2536-7701

Funding

Examining associations between social network characteristics, obesity-related health behaviors, and weight retention among racially/ethnically diverse postpartum womenF31NR020431 · NINR · UNIVERSITY OF UTAH · PI KENT-MARVICK, JACQUELINE MARIE · 2022 to 2023
$75k
NINR NIH HHS F31 NR020431
6 · The paper itself

Abstract

backgroundRetention of weight postpartum increases risk for long-term morbidity, including cardiometabolic disease. Although retained weight postpartum is a complex problem, interventions generally address individual diet and activity behaviors.

objectivesWe investigated the impact of social-network factors on postpartum health behaviors and weight.

designWe used an explanatory-sequential mixed-methods approach. This article reports our quantitative findings.

methodsChildbearing people receiving care at university-based clinics were eligible if aged 18+, 12-15 months postpartum, with a pre-pregnancy BMI ⩾ 25 kg/m

resultsOne hundred women completed both surveys; 62% did not return to pre-pregnancy weight. Multivariable models found: (a) participants with lower postpartum weight ate meals with more people in their network (β = -0.173,

conclusionResults revealed evidence for the role of social-network norms, support, and structure in postpartum health behaviors and weight. Understanding social environments' impact on postpartum health behaviors and weight is essential in approaching the problem from a multilevel/domain approach.

Indexed as

Health BehaviorObesityOverweightPostpartum PeriodSocial NetworkingSocial SupportAdultBody Mass IndexDietExerciseFemaleHumansPregnancySurveys and QuestionnairesYoung Adultpostpartum health behaviorspostpartum social networkspostpartum weightpostpartum weight retention

Identifiers

PMID40071980
PMCPMC11905029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.