Evidence map›Paper›PMID 39506315›Full record

ArticleScandinavian journal of public health2025

Exploring variations in subjective well-being among Norwegian retirees: A growth mixture modelling approach.

Lars Bauger

Abstract read
In one paragraph

Article in Scandinavian journal of 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

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. Article
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

1 author.

Lars BaugerDepartment of Health, Social and Welfare Studies, University of South-Eastern Norway, Norway.ORCID 0000-0001-7993-3281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to identify subgroups of Norwegian retirees with similar trajectories of subjective well-being (SWB) across the retirement transition and to explore how various factors influence these SWB trajectories.

methodsThe study employed growth mixture modelling to analyze longitudinal data, exploring the trajectories of life satisfaction, positive affect and negative affect in retirement transition. It also examined the influence of factors such as demographic, living arrangement, pre-retirement work conditions, individual characteristics and available resources on these SWB trajectories.

resultsContrary to the hypothesised three distinct SWB trajectories in retirement, the results more strongly support a single group solution for life satisfaction and positive affect. For negative affect, a two-group solution, consisting of one group with stable low and another with stable high negative affect, was preferred. The study identified several predictors of SWB trajectories.

conclusions

Indexed as

Personal SatisfactionRetirementAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedModels, StatisticalNorwaygrowth mixture model (GMM)latent growth curve modelnegative affectpositive affectRetirementsubjective well-being

Identifiers

PMID39506315
PMCPMC11951370

What OpenQuestion holds

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LicenceCC BY-NC
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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.