Evidence map›Paper›PMID 35956184›Full record

ArticleJournal of clinical medicine2022

Association between Parkinson's Disease and Psychosocial Factors: Results of the Nationally Representative German Ageing Survey.

Regina Vardanyan, Hans-Helmut König, André Hajek

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers 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

3 authors.

Regina VardanyanDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, 20246 Hamburg, Germany.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, 20246 Hamburg, Germany.ORCID 0000-0001-5711-6862
André HajekDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, 20246 Hamburg, Germany.ORCID 0000-0002-6886-2745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to clarify the link between Parkinson’s disease (i.e., comparing individuals with Parkinson’s disease and individuals without Parkinson’s disease) and psychosocial outcomes (in terms of life satisfaction, optimism, loneliness, perceived social isolation and perceived autonomy). Methods: Cross-sectional data (wave 5) were used from the nationally representative German Ageing Survey (with n = 7832). Life satisfaction was quantified using the Satisfaction with Life Scale. Optimism was measured using the Brandstädter and Wentura tool. Perceived autonomy was quantified using the Schwarzer tool. Loneliness was quantified using the De Jong Gierveld tool. Perceived social isolation was quantified using the Bude and Lantermann tool. Physician-diagnosed Parkinson’s disease served as the key independent variable. Results: Multiple linear regressions showed that individuals with Parkinson’s disease reported significantly lower perceived autonomy (β = −0.30, p < 0.01) compared to individuals without Parkinson’s disease. In contrast, they did not report worse psychosocial outcomes (in terms of life satisfaction, optimism, loneliness and perceived social isolation). Conclusion: Study findings showed a quite strong association between Parkinson’s disease and perceived autonomy. Future research could elucidate the underlying mechanisms.

Indexed as

life satisfactionlonelinessoptimismParkinson’s diseaseperceived autonomyperceived social isolation

Identifiers

PMID35956184
PMCPMC9369499

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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.