Evidence map›Paper›PMID 32203569›Full record

Trial reportTranslational behavioral medicine2021

Understanding mechanisms of integrated behavioral therapy for co-occurring obesity and depression in primary care: a mediation analysis in the RAINBOW trial.

Lisa G Rosas, Lan Xiao, Nan Lv, Phillip W Lavori, Elizabeth M Venditti, Mark B Snowden, Joshua M Smyth, Megan A Lewis, Leanne M Williams, Trisha Suppes and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Sex Moderates Treatment Effects of Integrated Collaborative Care for Comorbid Obesity and Depression: The RAINBOW RCT.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021
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  5. Review
  6. 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

12 authors.

Lisa G RosasEpidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA.
Lan XiaoEpidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA.
Nan LvInstitute of Health Research and Policy, University of Illinois at Chicago, Chicago, IL.
Phillip W LavoriDepartment of Biomedical Data Science, Stanford University, Stanford, CA.
Elizabeth M VendittiDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Mark B SnowdenDepartment of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA.
Joshua M SmythDepartments of Biobehavioral Health and of Medicine, The Pennsylvania State University, University Park, PA.
Megan A LewisCenter for Communication Science, RTI International, Seattle, WA.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Trisha SuppesDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Andrea N Goldstein-PiekarskiSierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC) VA Palo Alto Health Care System, Palo Alto, CA.
Jun MaDepartment of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL.

Funding

RCT on comanagement of obesity, depression, and elevated CVD risk in primary careR01HL119453 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MA, JUN · 2014 to 2018
$3.6M
Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomesUH3HL132368 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MA, JUN, WILLIAMS, LEANNE · 2018 to 2019
$2.6M
NHLBI NIH HHS R01 HL119453NHLBI NIH HHS UH3 HL132368
6 · The paper itself

Abstract

The RAINBOW trial demonstrated that an integrated collaborative care intervention was effective for improving weight and depression. This study examined mediation of the treatment effect by a priori specified lifestyle behaviors and cognitive functioning. Participants were randomized to a 12-month integrated intervention (n = 204) or usual care (n = 205). Body mass index (BMI) and 20-item Depression Symptom Check List (SCL-20) were co-primary outcomes (Y). To examine mediation, we assessed (a) the effect of the integrated intervention (X) on lifestyle behaviors (diet and physical activity) and cognitive functioning (problem-solving; M, X→M path a) and (b) the association of these behaviors with BMI and SCL-20 (M→Y path b). Mediation existed if paths a and b were significant or if path a and the product of coefficients test (paths a and b) were significant. Compared with usual care, the intervention led to significant improvements in leisure time physical activity (201.3 MET minutes/week [SD, 1,457.6]) and total calorie intake (337.4 kcal/day [818.3]) at 6 months but not 12 months (path a). These improvements were not significantly associated with improvements in BMI or SCL-20 (path b). However, avoidant problem-solving style score and increased fruit and vegetable intake significantly correlated with improvements in BMI at 6 and 12 months, respectively. Also, increased fruit and vegetable intake, higher dietary quality, and better problem-solving abilities significantly correlated with improvements in SCL-20 at 6 and 12 months. These findings did not support the hypothesized mediation, but suggest lifestyle behaviors and cognitive functioning to target in future intervention optimization.

Indexed as

DepressionMediation AnalysisBehavior TherapyHumansObesityPrimary Health Caredepressionhealth behaviormediationObesity

Identifiers

PMID32203569
PMCPMC7963297

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.