Cited by 56Digital Mental Health InterventionsAgriculture and Farm SafetyHealth Literacy and Information Accessibility

What farmers want from mental health and wellbeing-focused websites and online interventions

Open access
Gunn, Kate M., Barrett, Alison, Hughes-Barton, Donna, Turnbull, Deborah, Short, Camille E., Brumby, Susan, Skaczkowski, Gemma, Dollman, James·2021·Journal of Rural Studies

Integrity signals

Registry

Crossref · 10.1016/j.jrurstud.2021.06.016

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References 42 · Cited by 56

Authors
Gunn, K. M., Barrett, A., Hughes-Barton, D., Turnbull, D., Short, C. E., Brumby, S., Skaczkowski, G., & Dollman, J.
Affiliations
  • University of South Australia (AU)
  • Freemasons Foundation Centre for Men's Health (AU)
  • The University of Melbourne (AU)
  • Deakin University (AU)
Corresponding author
Gunn, Kate M.
Venue
Journal of Rural Studies
Publisher
Elsevier BV
Published
2021-08
Volume
86
Pages
298-308
ISSN
0743-0167 (ISSN-L)
OpenAlex
W3174952321
Cited by
56
References
42
Citations by year
2026: 8 · 2025: 13 · 2024: 13 · 2023: 10 · 2022: 9 · 2021: 1 · 2012: 1
FWCI
7.04
Type
journal article
Language
en
Open access
Locations
  • Journal of Rural Studies (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Agriculture and Farm Safety
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
Keywords
farmer mental health, farmer well-being, online intervention, mental health websites, internet use, user preferences, web design, mental health stigma, social isolation, social media, early intervention, help-seeking, mental health promotion, rural health, barriers to mental health care, engagement strategies, Australia, grain producers, time poverty

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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