Evidence map›Paper›PMID 37698801›Full record

ArticleJournal of behavioral medicine2024

Impact of social connectedness on weight loss outcomes in an online program.

Carnisha M Gilder, Amy A Gorin, Tania Huedo-Medina, Kristen Cooksey-Stowers, Jeanne M McCaffery, Zeely Denmat, Christiana Field, Emily Wyckoff, Jessica LaRose, Kayla O'Connor and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of behavioral medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Carnisha M GilderInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.
Amy A GorinInstitute for Collaboration on Health, Intervention, and Policy, Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Tania Huedo-MedinaInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.
Kristen Cooksey-StowersInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.
Jeanne M McCafferyInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.
Zeely DenmatInstitute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, Connecticut, USA.
Christiana FieldInstitute for Collaboration on Health, Intervention, and Policy, Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Emily WyckoffInstitute for Collaboration on Health, Intervention, and Policy, Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Jessica LaRoseDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, USA.
Kayla O'ConnorInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA.
Nana MarfoInstitute for Collaboration on Health, Intervention, and Policy, Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Tricia M LeaheyInstitute for Collaboration on Health, Intervention, and Policy, Department of Allied Health Sciences, University of Connecticut, Storrs, Connecticut, USA. tricia.leahey@uconn.edu.
University of Connecticut · USVirginia Commonwealth University · US

Funding

Peer Support for Weight Loss MaintenanceR01DK111232 · NIDDK · UNIVERSITY OF CONNECTICUT STORRS · PI LEAHEY, TRICIA M · 2017 to 2021
$3.2M
NIDDK NIH HHS R01DK111232
6 · The paper itself

Abstract

Obesity is linked to many negative health consequences. While online behavioral weight loss programs (BWL) are an effective treatment for obesity, weight losses are modest. Social connectedness has been found to improve weight loss outcomes and previous findings suggests that it may be especially important for people of color. The present study investigated the impact of social connectedness (structural connectedness, or network size; relationship quality, and functional connectedness, or social support) on weight loss outcomes in an online BWL program and whether Black race or Hispanic ethnicity moderates the relationship between social connectedness and weight loss. Participants (N = 387) enrolled in a 16-week online BWL program and completed measures of social connectedness before treatment and had their weight measured. Individuals with less structural connectedness (smaller social networks) had greater weight losses. Further, higher levels of functional connectedness (affectionate support, positive support, and relationship quality) mediated the relationship between smaller network size and better weight loss outcomes. Black race / Hispanic ethnicity did not moderate the relationship between social connectedness and weight loss. These findings suggest that the quality of one's relationships, not the size of one's social network, is important for weight loss. Future studies may examine whether online BWL programs that build relationship quality and affectionate and positive support in participants' existing social networks improve overall weight loss outcomes.

Indexed as

Behavior TherapyObesityHumansSocial SupportTreatment OutcomeWeight LossInternet-based interventionInterpersonal relationsSocial supportWeight loss

Identifiers

PMID37698801
OpenAlexW4386623552

What OpenQuestion holds

Textmetadata
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.