| Literature DB >> 36124382 |
Madeleine Gordon1,2, Navitha Jayakumar1, Dalia Schaffer1,3, Mathavan Vije1,4, Ayal Schaffer1,5, Thomas Niederkrotenthaler6, Jane Pirkis7, Mark Sinyor1,2,5.
Abstract
Entities:
Keywords: coronavirus disease 2019; media reporting; pandemic; suicide
Year: 2022 PMID: 36124382 PMCID: PMC9486677 DOI: 10.1177/07067437221125316
Source DB: PubMed Journal: Can J Psychiatry ISSN: 0706-7437 Impact factor: 5.321
General and Suicide-Specific Characteristics of the Most Circulated Print and Online News Articles Describing the Relationship Between the COVID-19 Pandemic and Suicide and/or Mental Health for Canada (National) (1 March 1-31 July 2020).
| Article attribute | National | |
|---|---|---|
| Medium (print or online) | ||
|
|
|
|
| Increased suicidal ideation | 2 (7.1%) | 1 (3.2%) |
| Increased suicidal attempts/behaviors | 4 (14.3%) | 1 (3.2%) |
| Increased unspecified “self-harm” | 1 (3.6%) | 2 (6.5%) |
| Increased calls to suicide/crisis hotlines | 4 (14.2%) | 8 (25.8%) |
| Worsening mental health | 16 (57.1%) | 19 (61.3%) |
|
| ||
|
|
|
|
|
| ||
| Increase | 8 (66.7%) | 9 (69.2%) |
| Decrease followed by increase | 0 | 1 (7.7%) |
| Other[ | 4 (33.3%) | 3 (23.1%) |
|
| ||
| News | 9 (75.0%) | 11 (84.6%) |
| Opinion/Editorial/Letter | 3 (25.0%) | 2 (15.4%) |
|
| ||
| Journalist | 10 (83.3%) | 11 (84.6%) |
| Expert | 2 (16.7%) | 1 (7.7%) |
| Other | 0 | 1 (7.7%) |
|
| 1 (8.3%) | 3 (23.1%) |
|
| 4 (33.3%) | 8 (61.5%) |
|
| 5 (41.7%) | 3 (23.1%) |
|
| ||
| National (Canada-wide) | 2 (16.7%) | 4 (30.8%) |
| Regional (within Canada) | 1 (8.3%) | 0 |
| Outside of Canada | 3 (25%) | 4 (30.8%) |
| General population/unspecified scope | 6 (50%) | 5 (38.5%) |
|
| ||
| Definite/already occurred | 1 (8.3%) | 0 |
| Speculative | 8 (66.7%) | 11 (84.6%) |
| Definite but Contingent[ | 3 (25.0%) | 2 (15.4%) |
|
| ||
| Cautious/balanced view | 4 (33.3%) | 3 (23.1%) |
| Links pandemic mental health effects and suicides | 6 (50.0%) | 6 (46.1%) |
|
| ||
| Scientific research | 4 (33.3%) | 6 (46.2%) |
| Expert opinion | 5 (41.7%) | 2 (15.4%) |
| Non-expert opinion | 3 (25.0%) | 5 (38.5%) |
|
| ||
| Social disconnectedness | 2 (16.7%) | 5 (38.5%) |
| Financial/employment stressor | 8 (66.7%) | 13 (100%) |
| Other/unspecified lockdown effects | 2 (16.7%) | 1 (7.7%) |
| Other | 3 (25.0%) | 4 (30.8%) |
“Other” includes when multiple predictions are made within the same article (e.g., “suicide rates may increase or decrease”).
Indicates suicide deaths are predicted to increase with definite certainty under specified conditions (i.e., if physical distancing measures continue).
Some articles did not contain either of the two types of statements featured in the coding scheme (i.e., the sum of proportions of articles with either statement comprise <100% of sample).
“Source” indicates the strongest form of evidence provided in the article. From strongest to weakest, the order of strength of evidence is research, expert opinion, non-expert opinion.
Multiple mechanisms may be described in a single article and/or statement.