Evidence map›Paper›PMID 39251767›Full record

ArticleInternational journal of obesity (2005)2025

Recruitment and retention of participants with obesity into a longitudinal birth cohort: the Breastfeeding and Early Child Health (BEACH) study.

Faith Anne N Heeren, Michele Himadi, Elizabeth Flood-Grady, Ke Xu, Matthew Shane Loop, Magda Francois, Adetola F Louis-Jacques, Lindsay Thompson, Michelle I Cardel, Yasmine Gillespie and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of obesity (2005), 2025. 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

12 authors.

Faith Anne N HeerenDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.ORCID 0000-0002-6819-8258
Michele HimadiDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Elizabeth Flood-GradySTEM Translational Communication Center, University of Florida, Gainesville, FL, USA.
Ke XuDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Matthew Shane LoopDepartment of Health Outcomes Research and Policy, Harrison College of Pharmacy, Auburn University, Auburn, AL, USA.
Magda FrancoisDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Adetola F Louis-JacquesDepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA.
Lindsay ThompsonDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Michelle I CardelDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Yasmine GillespieDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Lewis DeCiccoDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
Dominick J LemasDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA. djlemas@ufl.edu.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Human milk metabolomics and microbe-host interactions associated with pediatric obesityK01DK115632 · NIDDK · UNIVERSITY OF FLORIDA · PI LEMAS, DOMINICK JOSEPH · 2019 to 2023
$831k
NCATS NIH HHS UL1 TR001427NIDDK NIH HHS K01 DK115632
6 · The paper itself

Abstract

backgroundThe study aimed to evaluate how maternal pre-pregnant body mass index (BMI) impacts participant recruitment and retention.

methodsParticipants were enrolled in a longitudinal study between 30 and 36 weeks of pregnancy as having normal weight (pre-pregnant BMI ≥ 18.5 and <25 kg/m

resultsRecruitment yielded 2770 total prospective participants. After screening, 141 individuals were eligible, 83 consented, and 60 completed the study. Facebook was the most successful method for identifying eligible pregnant patients with obesity, while a higher percentage of participants recruited through word-of-mouth and flyers consented to the study. Pre-pregnant BMI was significantly associated with the stage of recruitment completed by the participant (p = 0.04), whereby individuals eligible for the study with obesity were less likely to consent and complete study visits.

conclusionWe demonstrated that maternal obesity was significantly associated with enrollment outcomes in a longitudinal birth cohort study. This study showed that pre-pregnancy BMI influenced study participation. Therefore, tailored recruitment strategies to enhance the recruitment and enrollment of individuals with obesity in maternal-infant health research may be necessary.

Indexed as

Birth CohortBody Mass IndexPatient SelectionAdultBreast FeedingFemaleHumansLongitudinal StudiesObesityPregnancyPregnancy in ObesityProspective Studies

Identifiers

PMID39251767
PMCPMC12005089

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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.