Evidence map›Paper›PMID 40553509›Full record

Trial reportJMIR mHealth and uHealth2025

Prevention Needs and Target Behavior Preferences in an App-Based Addiction Prevention Program for German Vocational School Students: Cluster Randomized Controlled Trial.

Diana Guertler, Elaine Kraft, Dominic Bläsing, Anne Möhring, Christian Meyer, Hannah Schmidt, Florian Rehbein, Merten Neumann, Arne Dreißigacker, Anja Bischof and 7 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Trial
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

17 authors.

Diana GuertlerDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-2533-5347
Elaine KraftDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0009-0007-6922-2874
Dominic BläsingHelmholtz Institute for One Health, Greifswald, Germany.ORCID 0000-0003-0326-8574
Anne MöhringDZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.ORCID 0000-0002-5063-0479
Christian MeyerDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0003-4722-7109
Hannah SchmidtDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-9393-5862
Florian RehbeinDepartment of Social Work, FH Münster University of Applied Sciences, Münster, Germany.ORCID 0009-0007-2330-0937
Merten NeumannCriminological Research Institute of Lower Saxony (KFN), Hannover, Germany.ORCID 0000-0003-2761-4152
Arne DreißigackerCriminological Research Institute of Lower Saxony (KFN), Hannover, Germany.ORCID 0000-0003-4393-0171
Anja BischofDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0003-3176-3329
Gallus BischofDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0003-0432-5497
Svenja SürigDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0001-7006-5502
Lisa HohlsDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0009-0008-6091-2374
Susanne WurmDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0001-6924-8299
Stefan BorgwardtDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-5792-3987
Severin HaugSwiss Research Institute for Public Health and Addiction, University of Zürich, Zürich, Switzerland.ORCID 0000-0002-6539-5045
Hans-Jürgen RumpfDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.ORCID 0000-0001-6848-920X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVocational school students exhibit a high prevalence of addictive behaviors. Mobile phone-based prevention programs targeting multiple addictive behaviors and promoting life skills are promising. Tailoring intervention content to participants' preferences, such as allowing them to choose behavior modules, may increase engagement and efficacy. There is limited understanding of how personal characteristics relate to module choices.

objectiveThis study examined the prevention needs of German vocational school students as well as their prevention preferences through self-determined module choice in the multibehavior app-based addiction prevention program ready4life.

methodsA 2-arm cluster randomized controlled trial recruited German vocational school students aged ≥16 years. Among 376 classes from 35 schools, ready4life was introduced during a school lesson. Students were invited to download the ready4life app and completed an anonymous screening with individualized risk and competence feedback in the form of a traffic light system. Informed consent was provided by 2568 students. Intervention classes received individual app-based coaching with weekly chat contacts with a conversational agent over 4 months. They could choose 2 of 6 modules: alcohol, tobacco, cannabis, social media and gaming, stress, and social competencies. Control group classes received a link to health behavior information and could access coaching after 12 months.

resultsPrevention need was high. For 86.2% (2213/2568), ≥2 risks were reported based on yellow or red traffic light feedback. Within the intervention group, stress (818/1236, 66.2%) and social media and gaming (625/1236, 50.6%) were the most chosen topics, followed by alcohol (360/1236, 29.1%), social competencies (306/1236, 24.8%), tobacco (232/1236, 18.8%), and cannabis (131/1236, 10.6%). Module choices closely aligned with received traffic light feedback among those with 1 or 2 risks. Multilevel regression models showed that women were significantly more likely to choose the stress module (odds ratio [OR] 2.38, 95% CI 1.69-3.33; P<.001); men preferred social media and gaming (OR 0.52, 95% CI 0.40-0.69; P<.001), alcohol (OR 0.50, 95% CI 0.37-0.67; P<.001), and cannabis (OR 0.37, 95% CI 0.21-0.63; P<.001) when holding age, educational track, and prevention need for the corresponding behavior constant. Younger students were significantly more likely to choose the cannabis module (OR 0.81, 95% CI 0.74-0.90; P<.001). Educational track also influenced module choice (eg, those with a lower educational level were more likely to choose alcohol and cannabis, suggesting a positive equity impact). Students' prevention needs significantly influenced choice of the module (eg, higher alcohol consumption increased the likelihood of choosing the alcohol module; OR 1.31, 95% CI 1.20-1.43; P<.001).

conclusionsOur study confirms vocational school students' high prevention needs regarding addictive behaviors. Students' module choices were highly congruent to their demonstrated needs, with most students being interested in the stress module. Module choice also differed by age, gender, and educational track.

trial registrationGerman Clinical Trials Register DRKS00022328; https://drks.de/search/en/trial/DRKS00022328. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1024/0939-5911/a000811.

Indexed as

Behavior, AddictiveMobile ApplicationsStudentsAdolescentFemaleGermanyHumansMaleSchoolsSurveys and QuestionnairesVocational Educationcomputer tailoringeHealthmodule choicemultiple addictive behaviorsvocational school students

Identifiers

PMID40553509
PMCPMC12238790

What OpenQuestion holds

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LicenceCC BY
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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.