Evidence map›Paper›PMID 41802225›Full record

Trial reportJournal of medical Internet research2026

Effectiveness of the Components of a Digital Multiple Health Behavior Intervention Among University Students (Buddy): Factorial Randomized Trial.

Katarina Åsberg, Oskar Lundgren, Hanna Henriksson, Pontus Henriksson, Ann Catrine Eldh, Preben Bendtsen, Marie Löf, Marcus Bendtsen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 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

8 authors.

Katarina ÅsbergDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0003-2194-6789
Oskar LundgrenDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0001-7883-3895
Hanna HenrikssonDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0003-3571-1497
Pontus HenrikssonDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0003-2482-7048
Ann Catrine EldhDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0002-7737-169X
Preben BendtsenDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0001-5913-2903
Marie LöfDepartment of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2273-4430
Marcus BendtsenDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Östergötland, Sweden.ORCID https://orcid.org/0000-0002-8678-1164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital interventions have shown promise in supporting healthy behaviors among university students; however, few interventions support simultaneous change across multiple health behaviors. Moreover, behavioral interventions are typically evaluated as a whole, making it challenging to disentangle the contribution of individual components to the overall effects.

objectiveThis study estimated the effects of the components of a digital behavior intervention on alcohol, diet, physical activity, and smoking outcomes among university students in Sweden.

methodsA double-blind randomized factorial trial with 6 two-level factors was conducted. University students in Sweden were proactively recruited through student health care centers and social media. Participants were eligible if they were aged 18 years or older and had at least one health behavior classified as unhealthy. The effects of 6 components were estimated: screening and feedback; goal-setting and planning; motivation; skills and know-how; mindfulness; and self-authored SMS text messages. Primary outcomes were weekly alcohol consumption and frequency of heavy episodic drinking, average daily fruit and vegetable consumption, weekly sugary drink consumption, weekly moderate-to-vigorous physical activity (MVPA), and 4-week point prevalence of smoking.

resultsA total of 1704 students were randomized. The effectiveness of individual and pairwise components was estimated using available data from 1118 (65.61%) participants at 2 months and 874 (51.29%) at 4 months, with sensitivity analyses conducted using imputed missing data. Most consistently, the evidence indicated that screening and feedback affected fruit and vegetable consumption (2-month mean difference 0.11, compatibility interval [CoI] -0.02 to 0.24; probability of effect [POE] 94.7% and 4-month mean difference 0.12, CoI -0.03 to 0.26; POE 94.4%), as did skills and know-how (2-month mean difference 0.19, CoI 0.06-0.33; POE 99.8% and 4-month mean difference 0.14, CoI 0.01-0.28; POE 96.9%). The combination of these 2 components was even more effective (2-month mean difference 0.30, CoI 0.11-0.48; POE 99.9% and 4-month mean difference 0.26, CoI 0.05-0.46; POE 99.4%). The motivation and mindfulness components, both individually and in combination, increased MVPA at 2 months (combined mean difference 78.0, CoI 28.3-128.2; POE 99.9%); however, this effect was not observed at 4 months. Combining screening and feedback with skills and know-how increased MVPA at 4 months (mean difference 60.1, CoI 3.6-116.5; POE 98.2%). Heavy episodic drinking was reduced at 2 months by screening and feedback (incidence rate ratio 0.87, CoI 0.74-1.02; POE 95.2%), and the effect was greater when combined with goal-setting and mindfulness. There was some evidence that the motivation component was harmful with respect to heavy episodic drinking and that self-authored SMS text messages were harmful with respect to sugary drink consumption.

conclusionsWe dismantled a complex digital multiple behavior intervention and examined it using a factorial design to provide novel insights into the effectiveness of the intervention's different components. Both marginal and synergistic effects were observed across multiple behaviors, providing evidence regarding which components are most promising in complex interventions. These findings should be considered in light of the risk of bias introduced by attrition to follow-up, which was high in this effectiveness trial with low barriers to participation.

trial registrationInternational Standard Randomised Controlled Trial Number (ISRCTN) ISRCTN23310640; https://www.isrctn.com/ISRCTN23310640. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2021-051044.

Indexed as

Health BehaviorHealth PromotionStudentsAdultAlcohol DrinkingDietDigital HealthDigital MediaDouble-Blind MethodExerciseFemaleHumansMaleSmokingSwedenText Messagingbehavior changedigital interventionsmHealth interventionmultiple lifestylepublic health

Identifiers

PMID41802225
PMCPMC13010081

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.