Evidence map›Paper›PMID 38071165›Full record

ArticleObesity research & clinical practice

What matters for weight loss in behavioral trials in the Latinx community: Learnings from three randomized controlled trials.

Patricia Rodriguez Espinosa, Lan Xiao, Jun Ma, Lisa G Rosas

Open access · greenAbstract read
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Article in Obesity research & clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 65% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
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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

4 authors at 3 institutions in 1 country.

Patricia Rodriguez EspinosaDepartment of Epidemiology and Population Health, Stanford University School of Medicine, California, US; Office of Community Engagement, Stanford School of Medicine, California, US.
Lan XiaoDepartment of Epidemiology and Population Health, Stanford University School of Medicine, California, US.
Jun MaCenter for Health Behavior Research, University of Illinois Chicago, US.
Lisa G RosasDepartment of Epidemiology and Population Health, Stanford University School of Medicine, California, US; Office of Community Engagement, Stanford School of Medicine, California, US. Electronic address: lgrosas@stanford.edu.
Stanford Medicine · USStanford University · USUniversity of Illinois Urbana-Champaign · US

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
Case-Management & Environmental Support to Sustain Weight Loss & Reduce CHD RiskR01HL089448 · NHLBI · STANFORD UNIVERSITY · PI STAFFORD, RANDALL SCOTT · 2008 to 2012
$3.7M
The ADELANTE Trial: Testing a multi-level approach for improving household food insecurity and glycemic control among Latinos with diabetesR01MD016738 · NIMHD · STANFORD UNIVERSITY · PI ROSAS, LISA GOLDMAN, TESTER, JUNE M · 2021 to 2025
$3.3M
Culturally-adapted DPP intervention for Mexican Americans in primary care: An RCTR01HS022702 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MA, JUN · 2014 to 2018
$1.2M
Optimizing self-monitoring in a digital health intervention for weight lossK23DK129805 · NIDDK · STANFORD UNIVERSITY · PI Michele Lanpher Patel · 2022 to 2026
$970k
AHRQ HHS R01 HS022702NCATS NIH HHS UL1 TR003142NHLBI NIH HHS R01 HL089448NHLBI NIH HHS T32 HL007034NIMHD NIH HHS R01 MD016738
6 · The paper itself

Abstract

backgroundNearly half of Latinx adults in the US are obese, making effective weight loss interventions crucial to prevent associated chronic conditions.

objectiveTo identify factors associated with increased session attendance and clinically significant weight loss among Latinx adults.

participantsLatinx participants from the Vivamos Activos (n = 207), Vida Sana (n = 191), and HOMBRE (n = 424 Latinx men) randomized clinical trials.

designPost-hoc analysis of randomized controlled trial data.

interventionCulturally-adapted behavioral weight loss interventions based on the Diabetes Prevention Program among Latinx adults over 12 months.

main outcome measureDemographic, clinical, and psychosocial predictors of session attendance and 5% weight loss at 12-months. STATISTICAL ANALYSIS PERFORMED: Bi-variable associations between baseline characteristics and outcomes were tested with chi-square and t-tests. Those with p-value< 0.15 were then included in stepwise logistic regressions.

resultsParticipants (N = 822) were middle age with diverse socioeconomic backgrounds. Older age in the Vivamos Activos and Vida Sana trials, and lower acculturation in the HOMBRE trial were significant predictors of increased session attendance. Factors associated with 5% weight loss varied by trials. These included younger age (OR 0.96 95% CI 0.92, 0.99) in Vivamos Activos, higher acculturation (OR 1.88 95% CI 1.05, 3.37) in Vida Sana, and higher education (OR 3.20 95% CI 1.3, 7.03) and greater body image dissatisfaction (OR 1.29, 95% CI 1.04, 1.6), and lower acculturation (0.69 95% CI 0.5, 0.96) in HOMBRE.

conclusionsFew and conflicting baseline characteristics were associated with session attendance and clinically significant weight loss, suggesting that alternative approaches to optimizing interventions are needed.

Indexed as

ObesityWeight Reduction ProgramsAdultHispanic or LatinoHumansMaleMiddle AgedRandomized Controlled Trials as TopicWeight LossBehavioral lifestyle interventionLatino/x/HispanicObesityRandomized controlled trialsWeight-loss intervention

Identifiers

PMID38071165
PMCPMC10810045
OpenAlexW4389508538

What OpenQuestion holds

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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.