Evidence map›Paper›PMID 35284618›Full record

ArticleSSM - population health2022

Inequalities in recovery or methodological artefact? A comparison of models across physical and mental health functioning.

Salmela Jatta, Brunton-Smith Ian, Meadows Robert

Abstract read
In one paragraph

Article in SSM - population health, 2022. 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

3 authors.

Salmela JattaDepartment of Public Health, University of Helsinki, Tukholmankatu 8 B, PO Box 20, 00014, Helsinki, Finland.
Brunton-Smith IanDepartment of Sociology, Elizabeth Fry Building (AD), University of Surrey, Guildford, Surrey, GU2 7XH, UK.
Meadows RobertDepartment of Sociology, Elizabeth Fry Building (AD), University of Surrey, Guildford, Surrey, GU2 7XH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable attention has been paid to inequalities in health. More recently, focus has also turned to inequalities in 'recovery'; with research, for example, suggesting that lower grade of employment is strongly associated with slower recovery from both poor physical and poor mental health. However, this research has tended to operationalise recovery as 'return to baseline', and we know less about patterns and predictors when recovery is situated as a 'process'. This paper seeks to address this gap. Drawing on data from the UK Household Longitudinal Study, we operationalise recovery as both an 'outcome' and as a 'process' and compare patterns and predictors across the two models. Our analysis demonstrates that the determinants of recovery from poor health, measured by the SF-12, are robust, regardless of whether recovery is operationalised as an outcome or as a process. For example, being employed and having a higher degree were found to increase the odds of recovery both from poor physical and mental health functioning, when recovery was operationalised as an outcome. These variables were also important in distinguishing health functioning trajectories following a poor health episode. At one and the same time, our analysis does suggest that understandings of inequalities in recovery will depend in part on how we define it. When recovery is operationalised as a simple transition from poor health state to good, it loses sight of the fact that there may be inequalities (i) within a 'poor health' state, (ii) in how individuals are able to step into the path of recovery, and (iii) in whether health states are maintained over time. We therefore need to remain alert to the additional nuance in understanding which comes from situating recovery as a process; as well as possible methodological artefacts in population research which come from how recovery is operationalised.

Indexed as

AMI, Acute myocardial infarctionAPP, Average posterior probabilityBIC, Bayesian information criterionCI, Confidence intervalGBTM, Group-based trajectory modellingGCSE, General Certificate of Secondary EducationHealth inequalitiesMCS, Mental component summaryOCC, Odds of correct classificationOR, Odds ratioPCS, Physical component summaryRecoverySES, Socioeconomic statusSF-12, 12-Item Short Form SurveySF-36, 36-Item Short Form SurveySocioeconomic inequalitiesTrajectory modellingUnited Kingdom

Identifiers

PMID35284618
PMCPMC8914363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.