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Cited by 170Mental Health Treatment and AccessStudent Stress and CopingHealthcare professionals’ stress and burnout

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Risk factors for mental disorder among university students in Australia: findings from a web-based cross-sectional survey

Said, David, Kypri, Kypros, Bowman, Jenny·2013·Social Psychiatry and Psychiatric Epidemiology
DOI 10.1007/s00127-012-0574-x
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Abstract

Purpose To identify variables associated with common mental disorders in an Australian university population.Methods We invited all Australia-based students from a large public university (N = 24,209) to participate in a web-based student mental health survey. Outcome measures included the patient health questionnaire depression, anxiety, and eating disorders modules, and the alcohol use disorders identification test. Explanatory variables of interest included gender, age, year of study, degree type, financial means, parental education, domestic/international status, and sexual orientation. Multiple logistic regression analysis was used to estimate independent associations with the four outcomes.Results Complete responses were received from 6,044 students (25 %). Proportions reporting depression, anxiety, eating disorders, and harmful drinking were 8, 13, 14, and 8 %, respectively, while 30 % had at least one of these disorders. The groups with the highest rates of disorder were women, 25-34-year-olds, students on low income, and homosexual or bisexual students. Parental education was not associated with disorder, nor was international/domestic status.Conclusion This is the first study examining mental disorders in a population-based sample of university students in Australia. Given increasing student numbers and participation of students from lower socio-economic backgrounds, policy is urgently needed to promote better mental health in this population, to routinely identify vulnerable students, and to intervene early. Groups in particular need are women, students on low incomes, and homosexual or bisexual students.

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  1. Andrews A, Chong JLY (2011) Exploring the wellbeing of students studying at an Australian university. J Aust N Z Stud Serv Assoc 37:9–39

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Metadata

Authors
Said, D., Kypri, K., & Bowman, J.
Affiliations
University of Newcastle Australia (AU)
Corresponding author
Kypri, Kypros
ORCID
Venue
Social Psychiatry and Psychiatric Epidemiology
Publisher
Springer Science and Business Media LLC
Published
2012-09-04
Volume
48
Issue
6
Pages
935-944
ISSN
  • 0933-7954 (ISSN-L)
  • 1433-9285
DOI
10.1007/s00127-012-0574-x
OpenAlex
W2059835495
Semantic Scholar
94d7a98e2b164875870f5a069b0afa4bfb1e6a47
Cited by
170
References
46
Citations by year
2026: 8 · 2025: 4 · 2024: 11 · 2023: 15 · 2022: 15 · 2021: 18 · 2020: 27 · 2019: 16 · 2018: 14 · 2017: 11 · 2016: 15 · 2015: 9 · 2014: 4 · 2013: 2 · 2012: 1
FWCI
7.70
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Social Psychiatry and Psychiatric Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
Funders
  • National Health and Medical Research Council
  • National Medical Research Council
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
  • Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
  • Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
Keywords
student mental health, university students, depression, anxiety, eating disorders, hazardous drinking, risk factors, low socioeconomic status, sexual orientation, gender differences, international students, parental education, Australia
MeSH terms
Adult, Alcohol Drinking, Australia, Mental Disorders, Cross-Sectional Studies, Female, Humans, Male, Parents, Surveys and Questionnaires, Risk Factors, Socioeconomic Factors, Students, Universities, Confounding Factors, Epidemiologic, Logistic Models, Internet

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