The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Preventing suicide in rural communities during the COVID-19 pandemic
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“Rural living LGBTQ+ youth are at compound risk for perceived isolation, depression, and other mental health concerns (Holt-Lunstad, 2020; Monteith et al., 2021).”
From A chatbot-delivered intervention for optimizing social media use and reducing perceived isolation among rural-living LGBTQ+ youth: Development, acceptability, usability, satisfaction, and utility (2023) · cites this paper as Monteith et al., 2021
Citations
Cites
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“Helping individuals to derive a sense of purpose is also critical to offsetting the perceived burdensomeness that can accompany major financial stressors and health concerns.(17,29,30) “Pulling together” by collectively engaging into meaningful, value-driven activity during crises can attenuate the impact of perceived…”
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“First and foremost, interpersonal factors are wellestablished risk factors for suicide, including social isolation,(5,6) loneliness,(6) lack of belonging,(7) and perceived burdensomeness.(7,8) Residents of rural communities are more likely to experience social isolation, relative to those living in urban communities.”
BackgroundInteracting with nature improves cognition and affect for individuals with depression
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Cited by
Sorted by citations
Escobar-Viera, C. G., Porta, G., Coulter, R. W. S., Martina, J., Goldbach, J., & Rollman, B. L. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100668 · Cited by 34
Metadata
- Authors
- Monteith, L. L., Holliday, R., Brown, T. L., Brenner, L. A., & Mohatt, N. V.
- Affiliations
- Department of Veterans Affairs Rocky Mountain Mental Illness Research Education and Clinical Center for Suicide Prevention Aurora Colorado
- ORCID
- Monteith, Lindsey L.
- Venue
- The Journal of Rural Health
- Publisher
- Wiley
- Published
- 2020-05-30
- Volume
- 37
- Issue
- 1
- Pages
- 179-184
- ISSN
- 0890-765X
- 1748-0361
- Cited by
- 62
- References
- 14
- Language
- en
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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.
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