Evidence map›Paper›PMID 39157721›Full record

ArticleJournal of psychoeducational assessment2024

Assessing and Evaluating the Perfectionism Social Disconnection Model: Social Support, Loneliness, and Distress Among Undergraduate, Law, and Medical Students.

Samantha Chen, Donald H Saklofske, Gordon L Flett, Paul L Hewitt

Abstract read
In one paragraph

Article in Journal of psychoeducational assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Samantha ChenUniversity of Western Ontario, London, ON, Canada.ORCID https://orcid.org/0009-0002-2176-6112
Donald H SaklofskeUniversity of Western Ontario, London, ON, Canada.
Gordon L FlettYork University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-4502-6285
Paul L HewittUniversity of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current research evaluates the Perfectionism Social Disconnection Model (PSDM) by considering the links between measures of trait perfectionism and perfectionistic self-presentation and measures of social support, loneliness, and distress in cross-sectional research. A particular focus is on perfectionism and levels of social support as assessed by the Social Provisions Scale. The current study also uniquely evaluates levels of perfectionism and perfectionistic self-presentation in undergraduate students, medical students, and law students. The results across samples provided evidence that loneliness mediates the link between interpersonal perfectionism and distress in keeping with the predictions of the PSDM. Correlational results found robust links between loneliness and low levels of social support. Moreover, socially prescribed perfectionism and perfectionistic self-presentation were associated negatively with social support, and this was especially evident in terms of the facet tapping the nondisclosure of imperfections. Group comparisons of perfectionism yielded few significant differences in accordance with expectations. Levels of perfectionism tended to be lower among medical students. However, the links between perfectionism and distress were clearly evident among undergraduates, medical students, and law students, thus attesting to the vulnerability of perfectionistic students in general. Overall, the results further confirm the relevance of perfectionism in distress among students and applicability of the PSDM in various types of students.

Indexed as

distresslonelinessperfectionismperfectionistic self-presentationsocial support

Identifiers

PMID39157721
PMCPMC11326981

What OpenQuestion holds

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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.