Evidence map›Paper›PMID 31660926›Full record

ArticleBMC public health2019

Are young female suicides increasing? A comparison of sex-specific rates and characteristics of youth suicides in Australia over 2004-2014.

Nina Stefanac, Sarah Hetrick, Carol Hulbert, Matthew J Spittal, Katrina Witt, Jo Robinson

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Interventions for self-harm in children and adolescents.The Cochrane database of systematic reviews · 2021
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Age, period and cohort analysis of suicide trends in Australia, 1907-2020.The Lancet regional health. Western Pacific · 2024
    Article
  10. Article
  11. Suicide mortality rates in Japan before and beyond the COVID-19 pandemic era.PCN reports : psychiatry and clinical neurosciences · 2024
    Review
  12. Temporal Fluctuations of Suicide Mortality in Japan from 2009 to 2023 Using Government Databases.European journal of investigation in health, psychology and education · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Designing and scaling up integrated youth mental health care.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nina StefanacThe University of Melbourne, Parkville, Australia.
Sarah HetrickOrygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, VIC, 3052, Australia.
Carol HulbertThe University of Melbourne, Parkville, Australia.
Matthew J SpittalThe University of Melbourne, Parkville, Australia.
Katrina WittThe University of Melbourne, Parkville, Australia.
Jo RobinsonOrygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, VIC, 3052, Australia. jo.robinson@orygen.org.au.

Funding

American Foundation for Suicide Prevention PDF-0-145-16
6 · The paper itself

Abstract

backgroundAustralian mortality statistics suggest that young female suicides have increased since 2004 in comparison to young males, a pattern documented across other Western high-income countries. This may indicate a need for more targeted and multifaceted youth suicide prevention efforts. However, sex-based time trends are yet to be tested empirically within a comprehensive Australian sample. The aim of this study was to examine changes over time in sex-based rates and characteristics of all suicides among young people in Australia (2004-2014).

methodsNational Coronial Information System and Australian Bureau of Statistics data provided annual suicide counts and rates for 10-24-year-olds in Australia (2004-2014), stratified by sex, age group, Indigenous status and methods. Negative binomial regressions estimated time trends in population-stratified rates, and multinomial logistic regressions estimated time trends by major suicide methods (i.e., hanging, drug poisoning).

resultsBetween 2004 and 2014, 3709 young Australians aged 10-24 years died by suicide. Whilst, overall, youth suicide rates did not increase significantly in Australia between 2004 and 2014, there was a significant increase in suicide rates for females (incident rate ratio [IRR] 1.03, 95% confidence interval [CI] 1.01 to 1.06), but not males. Rates were consistently higher among Aboriginal/Torres Strait Islander youth, males, and in older (20-24-years) as compared to younger (15-19 years) age groups. Overall, the odds of using hanging as a method of suicide increased over time among both males and females, whilst the odds of using drug-poisoning did not change over this period.

conclusionsWe showed that suicide rates among young females, but not young males, increased over the study period. Patterns were observed in the use of major suicide methods with hanging the most frequently used method among both sexes and more likely among younger and Aboriginal/Torres Strait Islander groups. Findings highlight the need to broaden current conceptualizations of youth suicide to one increasingly involving young females, and strengthen the case for a multifaceted prevention approach that capitalize on young females' greater help-seeking propensity.

Indexed as

AdolescentAge DistributionAustraliaChildFemaleHumansMaleRetrospective StudiesSex DistributionSuicideYoung AdultAustraliaEpidemiologyFemalesRisk factorsSuicideYoung peopleYouth

Identifiers

PMID31660926
PMCPMC6819336

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Registered trials

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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.