Evidence map›Paper›PMID 32144615›Full record

ArticleJournal of clinical psychology in medical settings2021

Exploring Post-traumatic Growth in Parkinson's Disease: A Mixed Method Study.

Francesca Vescovelli, Sara Minotti, Chiara Ruini

Abstract read
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In one paragraph

Article in Journal of clinical psychology in medical settings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Francesca VescovelliDepartment of Psychology, University of Bologna, Viale Berti Pichat 5, 40127, Bologna, Italy. francesca.vescovelli@unibo.it.
Sara MinottiDepartment of Psychology, University of Bologna, Viale Berti Pichat 5, 40127, Bologna, Italy.
Chiara RuiniDepartment of Psychology, University of Bologna, Viale Berti Pichat 5, 40127, Bologna, Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-traumatic growth (PTG) may favor the psychological adaptation to chronic illnesses. However, few studies investigated PTG in Parkinson's Disease (PD). This study aims to investigate PTG in patients with PD, by exploring disease-specific features and assessing its impact on distress, well-being, and quality of life. A mixed methodology with a convergent parallel design was used. 54 patients were classified according to their level of PTG (low PTG, medium PTG, and high PTG). PD patients with high PTG showed a more positive psychological adaptation and less distress when compared to patients with less PTG. Forty-nine patients were interviewed and their transcripts were analyzed using Thematic Analysis. The emerged themes confirmed the traditional dimensions of PTG model, but a specific theme connected to a new body awareness was identified. Patients with high PTG were more likely to report positive statements following PD diagnosis, particularly concerning spirituality and maintaining a good physical functioning. PTG presents peculiar characteristics in PD and it may favor a better psychological adjustment following the diagnosis.

Indexed as

Parkinson DiseasePosttraumatic Growth, PsychologicalStress Disorders, Post-TraumaticAdaptation, PsychologicalHumansQuality of LifeDistressMixed method studyParkinson’s diseasePost-traumatic growthWell-being

Identifiers

PMID32144615
OpenAlexW3010500242

What OpenQuestion holds

Textmetadata
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.