Evidence map›Paper›PMID 38559225›Full record

ArticleResearch square2024

Primary outcomes from Partner2Lose: A randomized controlled trial to evaluate partner involvement on long-term weight loss.

Corrine Voils, Ryan Shaw, Kara Gavin, Scott Hetzel, Megan Lewis, Samantha Pabich, Heather Johnson, Felix Elwert, Lu Mao, Kristen Gray and 4 more

Registry-linked trialOpen access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03801174 (Using Partners to Enhance Long-Term Weight Loss), which is not on this 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.

NCT03801174 nacompletednot on this map

Using Partners to Enhance Long-Term Weight Loss

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2019 to 2023Enrolled346ConditionsObesityArmsPartner-assisted intervention, Patient-only intervention
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

Corrine VoilsUniversity of Wisconsin-Madison School of Medicine & Public Health.
Ryan ShawDuke University School of Nursing.
Kara GavinMedical College of Wisconsin.
Scott HetzelUniversity of Wisconsin-Madison School of Medicine & Public Health.
Megan LewisRTI International.
Samantha PabichUniversity of Wisconsin-Madison School of Medicine & Public Health.
Heather JohnsonBaptist Health South Florida/Charles E. Schmidt College of Medicine, Florida Atlantic University.
Felix ElwertUniversity of Wisconsin-Madison.
Lu MaoUniversity of Wisconsin School of Medicine and Public Health.
Kristen GrayUniversity of Washington.
Alice YuroffUniversity of Wisconsin-Madison School of Medicine & Public Health.
Katya GarzaUniversity of Wisconsin-Madison School of Medicine & Public Health.
William YancyDuke University School of Medicine.
Laura PorterDuke University School of Medicine.
University of Wisconsin–Madison · USDuke University · USBaptist Health South Florida · USMedical College of Wisconsin · USRTI International · USUniversity of Washington · US

Funding

Using partners to enhance long-term weight lossR01DK111491 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI VOILS, CORRINE IONE · 2018 to 2022
$3.0M
NIDDK NIH HHS R01 DK111491
6 · The paper itself

Abstract

Background: Partner support is associated with better weight loss outcomes in observational studies, but randomized trials show mixed results for including partners. Unclear is whether teaching communication skills to couples will improve weight loss in index participants. Purpose: To compare the efficacy of a partner-assisted intervention versus participant-only weight management program on long-term weight loss. Methods: This community-based study took place in Madison, WI. Index participants were eligible if they met obesity guideline criteria to receive weight loss counseling, were aged 74 years or younger, lived with a partner, and had no medical contraindications to weight loss; partners were aged 74 years or younger and not underweight. Couples were randomized 1:1 to a partner-assisted or participant-only intervention. Index participants in both arms received an evidence-based weight management program. In the partner-assisted arm, partners attended half of the intervention sessions, and couples were trained in communication skills. The primary outcome was index participant weight at 24 months, assessed by masked personnel; secondary outcomes were 24-month self-reported caloric intake and average daily steps assessed by an activity tracker. General linear mixed models were used to compare group differences in these outcomes following intent-to-treat principles. Results: Among couples assigned to partner-assisted (n=115) or participant-only intervention (n=116), most index participants identified as female (67%) and non-Hispanic White (87%). Average baseline age was 47.27 years (SD 11.51 years) and weight was 106.55 kg (SD 19.41 kg). The estimated mean 24-month weight loss was similar in the partner-assisted (2.66 kg) and participant-only arms (2.89 kg) (estimated mean difference, 0.23 kg [95% CI, -1.58, 2.04 kg]). There were no differences in 24-month average daily caloric intake (50 cal [95% CI: -233, 132 cal]) or steps (806 steps [95% CI: -1675, 64 steps]). The percentage of participants reporting an adverse event with at least possible attribution to the intervention did not differ by arm (partner-assisted: 9%, participant-only, 3%, p=0.11). Conclusions: Partner-assisted and individual weight management interventions led to similar outcomes in index participants. Trial registration: Clinicaltrials.gov NCT03801174.

Indexed as

behavior therapiesobesityrandomized controlled trialsocial support

Identifiers

PMID38559225
PMCPMC10980155
OpenAlexW4392639283

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.