Evidence map›Paper›PMID 34652771›Full record

ArticleEuropean geriatric medicine2019

Subjective well-being of geriatric patients during and after inpatient geriatric rehabilitation: a biopsychosocial prediction model.

Saskia Bordne, Christian Rietz, Ralf-Joachim Schulz, Susanne Zank

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Article in European geriatric medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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

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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.

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4 · The record

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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

4 authors.

Saskia BordneFaculty of Human Sciences, Graduate School GROW, Gerontological Research on Well-Being, University of Cologne, Aachener Str. 201, 50931, Cologne, Germany. saskia.bordne@uni-koeln.de.ORCID http://orcid.org/0000-0002-9040-6383
Christian RietzDepartment of Educational Science, Mixed Methods-Research, PH Heidelberg | University of Education, Keplerstraße 87, 69221, Heidelberg, Germany.
Ralf-Joachim SchulzClinic of Geriatric Medicine, St. Marien-Hospital Köln, Kunibertskloster 11-13, 50668, Cologne, Germany.
Susanne ZankFaculty of Human Sciences, Department of Rehabilitative Gerontology, University of Cologne, Herbert-Lewin-Str. 2, 50931, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study focused on indicators of subjective well-being (SWB) and how they developed during and after geriatric rehabilitation. Furthermore, a biopsychosocial prediction model for longer-term SWB was tested.

methodsPatients of an inpatient geriatric rehabilitation unit were assessed at admission, discharge and a three-month follow-up. Indicators of SWB comprised affect, life satisfaction, valuation of life and autonomy. Further, biomedical and psychosocial variables assessed upon admission were used to predict SWB at follow-up. Statistical analysis included repeated-measures (M)ANOVA depicting SWB development over time with Cohen's d for effect size, along with canonical correlation analyses used to test the biopsychosocial prediction model.

results78 out of 122 patients were assessed three times. Across all measurement points, different change patterns among SWB indicators were detected: Positive affect was significantly higher at follow-up than at admission (mean difference (MD) = .28, p < .01, Cohen's d = .37). Negative affect declined during rehabilitation (MD = - .29, p < .01, Cohen's d = .40) but increased again until follow-up (MD = .31, p < .01, Cohen's d = .42). Life satisfaction and valuation of life showed no change over time, while experience of autonomy gradually worsened from admission until follow-up (MD = - .29, p < .05, Cohen's d  = .32). The biopsychosocial model revealed that personality traits and control beliefs best predicted SWB at follow-up.

conclusionsAlthough geriatric rehabilitation has a positive effect on affect, it does not consistently improve other SWB indicators. Moreover, paying attention to psychological parameters such as personality in the daily geriatric routine could help to identify patients for whom longer-term SWB is particularly at risk.

Indexed as

Biopsychosocial modelGeriatric rehabilitationPersonalitySubjective well-being

Identifiers

PMID34652771

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