Evidence map›Paper›PMID 40571917›Full record

ArticleBMC public health2025

Longitudinal patterns of mental well-being over four years in a german general population sample: a growth mixture modeling approach.

Johanna Fischer, Ulrich John, Hans-Jürgen Rumpf, Andreas Staudt, Sophie Baumann

Abstract read
In one paragraph

Article in BMC public health, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

5 authors.

Johanna FischerInstitute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
Ulrich JohnDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Hans-Jürgen RumpfDepartment of Psychiatry and Psychotherapy, Research Group S:TEP, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Andreas Staudt *Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. andreas.staudt@tu-dresden.de.
Sophie Baumann *Department of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, 17475, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough mental well-being is facing growing challenges against the background of global crises such as climate change, pandemics, and social inequality, little is known about longitudinal patterns of mental well-being in the general population.

methodsThe study is based on self-report data from 1,605 adults aged 18 to 64 years who were proactively recruited at a municipal registration office (M = 31.0 years, SD = 10.8 years). Mental well-being was assessed at baseline, and 3, 6, 12, 36 and 48 months later using the five-item Mental Health Inventory (MHI-5). Covariates were smoking, alcohol consumption, fruit and vegetable intake, moderate-to-vigorous physical activity, age, sex, school education and relationship status. Growth Mixture Modeling was used to identify latent trajectory classes of mental well-being. Multinomial logistic regression was used to test whether class membership is predicted by health behaviors and sociodemographic variables.

resultsThree latent trajectory classes were found. The first class ("stable high", n = 1,251, 78%) showed the highest mental well-being throughout the study with only minor fluctuations over time. The second class (n = 192, 12%) showed a "steadily increasing" trajectory starting with the lowest MHI-5 sum score of the three classes at baseline that increased over time. The third class ("fluctuating", n = 162, 10%) reported a slight increase in mental well-being during the first six months, followed by a steep decline to 36 months, which then increased to almost baseline-level at 48 months. The odds of being classified into the "steadily increasing" or "fluctuating" compared to the "stable high" class were higher for men and younger participants. The odds of belonging to the "steadily increasing" compared to the "stable high" class were higher for participants with more than 12 years of school education and those being in a relationship. Health behaviors did not predict latent trajectory class membership.

conclusionThree different temporal patterns of mental well-being were found in a German general population sample, with the majority showing a stable level of high mental well-being over four years. Further research is needed to understand fluctuating patterns and the causal factors influencing mental well-being.

Indexed as

Mental HealthAdolescentAdultFemaleGermanyHealth BehaviorHumansLongitudinal StudiesMaleMiddle AgedSelf ReportYoung AdultLatent trajectory classLifestyle behaviorsLongitudinal patterns of mental well-beingMental healthMHI-5Mixture modeling

Identifiers

PMID40571917
PMCPMC12199513

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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.