Evidence map›Paper›PMID 41846433›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

Enhancing Weight Loss Programs: A Meta-Analysis of Financial Incentives and Behavior Change Techniques.

Sara M Hondmann, Milon H M van Vliet, Roxy A van Eersel, Linda D Breeman, Mike Keesman, David R de Buisonjé, George Haroon, Roderik Kraaijenhagen, Veronica R Janssen, Andrea W M Evers

Abstract readMeta-Analysis
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Enhancing Weight Loss Programs: A Meta-Analysis of Financial Incentives and Behavior Change Techniques.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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

10 authors.

Sara M HondmannHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
Milon H M van VlietDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.
Roxy A van EerselHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
Linda D BreemanHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
Mike KeesmanHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
David R de BuisonjéHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
George HaroonHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.
Roderik KraaijenhagenHearts4People Foundation, Amsterdam, the Netherlands.
Veronica R JanssenDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-4113-6716
Andrea W M EversHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.

Funding

Netherlands Organization of Scientific Research (NWO) 403.19.246ZonMw (The Netherlands Organization for Health Research and Development) CVON2016-12
6 · The paper itself

Abstract

Obesity is a risk factor for chronic illness. Financial incentives contingent on behaviors or outcomes related to weight loss can promote weight loss efforts. This meta-analysis examines the added effect of financial incentives for weight loss in health behavior change interventions, both short- and long-term, in adults. Additionally, subgroup analyses explored incentive targets (physiological outcomes, lifestyle behaviors, process behaviors, or multiple targets) and types of behavior change techniques (BCTs; interactive or passive) as moderators. Seven databases were systematically searched for (quasi-)randomized control trial studies. The meta-analysis included 29 studies with incentive and control conditions, 2396 adults in control and 3397 in incentive conditions. Using a random-effects model, results showed a small, significant, positive effect of incentives on weight loss during the incentive phase (i.e., short-term; 51 comparisons; SMD = 0.180, p < 0.001) but not in the post-incentive phase (i.e., long-term, after incentive removal; 23 comparisons; SMD = 0.032, p = 0.432). However, limited studies reported post-incentive data. In the incentive phase, subgroup analyses showed that incentivizing multiple targets and physiological outcomes has a larger effect than incentivizing lifestyle and process behaviors. Subgroup analyses showed no significant effect of type of BCTs. However, in the incentive phase, the within-group analysis showed that combining incentives with interactive BCTs had a significant effect while passive BCTs did not. Suggesting that combining incentives only with passive BCTs may not be sufficient to achieve weight loss, given its complexity. In conclusion, these findings suggest that financial incentive interventions are effective on short-term weight loss, especially when incentivizing multiple targets or physiological outcomes.

Indexed as

Behavior TherapyHealth BehaviorMotivationObesityWeight LossWeight Reduction ProgramsHumansbehavior change techniquesfinancial incentiveshealth behaviorinterventionsmeta‐analysisweight loss

Identifiers

PMID41846433
PMCPMC13551397

What Socratic 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 Socratic graph.