Evidence map›Paper›PMID 41877451›Full record

ReviewBehavioral medicine (Washington, D.C.)2026

Game, Set, and Match: A Scoping Review of Matching Characteristics for Control and Intervention Groups in Adaptive Behavioral Interventions for Physical Activity or Healthy Eating Designs for Populations with Overweight and Obesity.

Jamie Whitney, Victoria A Suhy, Abigail M Pauley, Danying Shao, Owais Khan, Amy M Moore, Sy-Miin Chow, Daniel E Rivera, Danielle Symons Downs

Abstract readReview
In one paragraph

Review in Behavioral medicine (Washington, D.C.), 2026. 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

9 authors.

Jamie WhitneyExercise Psychology Laboratory, Department of Kinesiology, College of Healthy and Human Development, The Pennsylvania State University.ORCID 0009-0002-0314-6382
Victoria A SuhyExercise Psychology Laboratory, Department of Kinesiology, College of Healthy and Human Development, The Pennsylvania State University.ORCID 0009-0006-8738-4351
Abigail M PauleyExercise Psychology Laboratory, Department of Kinesiology, College of Healthy and Human Development, The Pennsylvania State University.ORCID 0000-0003-0644-0181
Danying ShaoInstitute for Computational and Data Sciences, The Pennsylvania State University.ORCID 0000-0002-1920-3081
Owais KhanControl Systems Engineering Laboratory, School for Engineering of Matter, Transport and Energy in the Ira A. Fulton Schools of Engineering, Arizona State University.ORCID 0000-0002-6804-4275
Amy M MooreDepartment of Nutritional Science, College of Healthy and Human Development, The Pennsylvania State University.ORCID 0000-0001-6935-2379
Sy-Miin ChowDepartment of Human Development and Family Studies, Quantitative Developmental Systems Methodology Core, College of Health and Human Development, The Pennsylvania State University.ORCID 0000-0003-1938-027X
Daniel E RiveraControl Systems Engineering Laboratory, School for Engineering of Matter, Transport and Energy in the Ira A. Fulton Schools of Engineering, Arizona State University.ORCID 0000-0002-3141-0577
Danielle Symons DownsExercise Psychology Laboratory, Department of Kinesiology, College of Healthy and Human Development, The Pennsylvania State University.ORCID 0000-0003-1294-9742

Funding

Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems MethodologyR01DK134863 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI Danielle Symons Downs · 2023 to 2026
$2.6M
NIDDK NIH HHS R01 DK134863
6 · The paper itself

Abstract

Behavioral interventions targeting physical activity and/or healthy eating are often used for weight regulation, and adaptive intervention designs that personalize the dosage based on individuals' responses to the intervention components may optimize impact. However, little research has examined how best to design/optimize non-pharmacological adaptive weight regulation trials, and decisions regarding selection/use of control groups in these trials are less clear. This scoping review aimed to identify and describe study and participant characteristics reported and/or used to match intervention and control groups within non-pharmacological, adaptive behavioral weight regulation interventions. Systematic search of adaptive interventions targeting physical activity/healthy eating for weight regulation was conducted following PRISMA-ScR guidelines. Study and participant characteristics reported and/or matched between groups were independently extracted and coded. Of 1,431 articles screened, 4.4% met the inclusion criteria. Study designs were protocol/rationale/design papers (43%), randomized control trials (40%), and pilot/feasibility trials (17%). Most (73%) had a control/comparison condition; 100% matched measurement protocols and dosage exposure. Many (51%) reported participant characteristics (e.g., age, body mass index [BMI]), but only 35% of studies used these as matching factors. Some studies (35%) matched groups on content. These findings illustrate that most adaptive weight control interventions matched the groups based on study characteristics (e.g., measures) but few used participant characteristics (e.g., BMI) despite potential moderating influences on weight regulation. This is an important gap in the literature, and future research is needed to explore the extent to which individual participant characteristics in non-pharmacological adaptive weight control interventions impact dosage efficacy/effectiveness.

Indexed as

Adaptive behavioral interventionhealthy eatingmatching controlphysical activityscoping review

Identifiers

PMID41877451
PMCPMC13123276

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.