Evidence map›Paper›PMID 36574430›Full record

ArticlePloS one2022

Risks to mental health of higher degree by research (HDR) students during a global pandemic.

Charlotte Brownlow, Douglas Eacersall, Charles W Nelson, Renée L Parsons-Smith, Peter C Terry

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Review
  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

5 authors.

Charlotte BrownlowGraduate Research School, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0001-8497-5021
Douglas EacersallLibrary Services, University of Southern Queensland, Toowoomba, Australia.
Charles W NelsonGraduate Research School, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0002-9706-614X
Renée L Parsons-SmithSchool of Psychology and Wellbeing, University of Southern Queensland, Toowoomba, Australia.
Peter C TerryGraduate Research School, University of Southern Queensland, Toowoomba, Australia.ORCID 0000-0002-7018-4533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has affected university students globally. Our study investigated mental health indicators among higher degree by research (HDR) students at a regional university in Queensland, Australia. A total of 231 HDR students (female = 137, male = 94) completed the Brunel Mood Scale to assess the constructs of Tension, Depression, Anger, Vigor, Fatigue, and Confusion. A subset of 11 students participated in three focus groups to explore their experiences. Results showed that reported mood among HDR students was generally more negative than population norms, although more positive than moods reported previously during the pandemic. A total of 52 participants (22.5%) reported mood profiles that indicated elevated risk of mental ill-health. Mood profiles varied significantly by gender, age, study mode (full-time/part-time), location (on-campus/online), and citizenship (domestic/international). Quantitative data were supported by focus group findings, which identified mental health and wellbeing as key themes of concern to HDR students. Our findings indicate that support mechanisms to safeguard the mental health and wellbeing of HDR students should be a priority for universities.

Indexed as

COVID-19Mental HealthAffectFemaleHumansMalePandemicsStudentsUniversities

Identifiers

PMID36574430
PMCPMC9794097

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.