Evidence map›Paper›PMID 36250480›Full record

ArticleThe Australian and New Zealand journal of psychiatry2023

What happened to the predicted COVID-19-induced suicide epidemic, and why?

Nick Glozier, Richard Morris, Stefanie Schurer

Open access · greenAbstract read
In one paragraph

Article in The Australian and New Zealand journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Unpeeling the onion: Digital triage and monitoring of general practice, private psychiatry, and psychology.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2024
    Article
  4. Generational differences in mental health trends in the twenty-first century.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Nick GlozierCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-0476-9146
Richard MorrisCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-5018-1239
Stefanie SchurerARC Centre of Excellence for Children and Families over the Life Course, Indooroopilly, QLD, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two years ago, in the early stages of the COVID-19 pandemic, there were widespread and grim predictions of an ensuing suicide epidemic. Not only has this not happened but also by the end of 2021 in the majority of countries and regions with available data, the suicide rates had, if anything, declined. We discuss four reasons why the predictions of suicide models were exaggerated: (1) government intervention reduced the economic and mental costs of lockdowns, (2) the pandemic itself and lockdowns had less of an effect on mental health than assumed, (3) the evidence for a link between economic downturns, distress and suicide is weaker and less consistent than the models assumed and (4) predicting suicide is generally hard. Predictive models have an important place, but their strong modelling assumptions need to acknowledge the inherent high degree of uncertainty which has been further augmented by behavioural responses of pandemic management.

Indexed as

COVID-19SuicideCommunicable Disease ControlHumansPandemicsUnemploymentCOVID-19predictionSuicideunemployment

Identifiers

PMID36250480
PMCPMC9574530
OpenAlexW4306385995

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.