Evidence map›Paper›PMID 41039443›Full record

Trial reportBMC public health2025

Educational inequalities in trajectories of co-occurring behavioral health risk factors over four years: a latent class growth analysis.

Sophie Baumann, Andreas Staudt, Maria Zeiser, Jennis Freyer-Adam, Diana Guertler, Henriette Markwart, Anne Moehring, Ulrich John

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2025. 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.

Sophie BaumannDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, Greifswald, 17475, Germany. sophie.baumann@med.uni-greifswald.de.
Andreas StaudtInstitute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Fetscherstr. 74, Dresden, 01307, Germany.
Maria ZeiserInstitute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Fetscherstr. 74, Dresden, 01307, Germany.
Jennis Freyer-AdamDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau- Str. 48, Greifswald, 17475, Germany.
Diana GuertlerDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, Greifswald, 17475, Germany.
Henriette MarkwartDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, Greifswald, 17475, Germany.
Anne MoehringDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, Greifswald, 17475, Germany.
Ulrich JohnDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau- Str. 48, Greifswald, 17475, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify unobserved subgroups of persons with similar trajectories of co-occurring behavioral health risk factors (BRFs) over 4 years in an adult general population sample and to examine their relation to education.

methodsData of 831 control group participants of a randomized controlled trial was analyzed. Participants aged 18-64 years who had consumed alcohol in the past 12 months were recruited at a registry office. Alcohol consumption, tobacco smoking, body mass index, and physical inactivity were assessed at baseline via self-report and 1, 3, and 4 years later. Latent class growth analysis was used to identify BRF trajectories and to test their association with school education, adjusted for sex, age, marital status, and self-rated health.

resultsEight BRF trajectory classes were identified, with the largest class (31% of participants) being characterized by stable low-to-moderate alcohol consumption and an otherwise healthy lifestyle. Higher-educated compared to lower-educated participants were more likely in this class than in other classes, including, among others, a class combining stable alcohol consumption, tobacco smoking, and increasing excess weight (Odds ratio, OR = 7.41, p < 0.001) and a class maintaining absence of BRFs over time (OR = 3.89, p < 0.001).

conclusionsThis study demonstrates heterogeneity in BRF trajectories and their relation to education. Although higher-educated persons were more likely in classes with fewer BRFs and favorable BRF changes, alcohol consumption remained a common BRF in several of these trajectories. Trajectories of multiple co-occurring BRFs, particularly those involving tobacco smoking and unfavorable BRF changes, seem to disproportionately affect lower-educated persons.

Indexed as

Educational StatusAdolescentAdultAlcohol DrinkingFemaleHumansLatent Class AnalysisMaleMiddle AgedRisk FactorsYoung AdultAlcoholBehavioral health risk factorsEducationLatent class growth curve analysisOverweightPhysical activitySmokingTrajectories

Identifiers

PMID41039443
PMCPMC12492804

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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 OpenQuestion graph.