Evidence map›Paper›PMID 39444829›Full record

ArticleFrontiers in psychology2024

The supervisory relationship as a predictor of mental health outcomes in doctoral students in the United Kingdom.

Alkistis P Mavrogalou-Foti, Maria A Kambouri, Soljana Çili

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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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

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Alkistis P Mavrogalou-FotiDepartment of Psychology and Human Development, Institute of Education, University College London, London, United Kingdom.
Maria A KambouriDepartment of Psychology and Human Development, Institute of Education, University College London, London, United Kingdom.
Soljana ÇiliDepartment of Psychology and Human Development, Institute of Education, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The process of a doctorate degree has been implicated in the onset and exacerbation of mental health problems among doctoral students. Previous studies have suggested that the student-supervisor relationship may predict emotional wellbeing and mental health outcomes in doctoral students in the UK. However, these studies were conducted before the COVID-19 pandemic and often used unstandardized measures to investigate supervisory styles. Methods: The present study was part of the Better Together project, a wellbeing initiative for doctoral students in the UK. It explored the predictive ability of aspects of the student-supervisor relationship with regards to doctoral students' mental health outcomes. The sample consisted of 141 students doing a research-based doctorate degree in the UK. The survey included demographic questions and questionnaires assessing supervisory styles, the discrepancy between actual and preferred supervisory relationship, depression, anxiety, and stress. Results: A large proportion of participants fell in the severe and extremely severe categories in the depression, anxiety, and stress sub-scales. Multiple regression analyses indicated that both supervisory styles and discrepancy significantly predicted students' mental health outcomes. More specifically, higher scores in the uncertain supervisory style, which is characterized by indecisiveness and ambiguity, were linked with higher scores in depression, anxiety, and stress. Discussion: The findings provided new insights concerning the aspects of the student-supervisor relationship that are related to the mental health issues of doctoral students in the UK. They have important implications for future research and supervision practice.

Indexed as

doctoral studentsmental healthpostgraduate studiessupervisionsupervisory relationship

Identifiers

PMID39444829
PMCPMC11497167

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