Self-harm in primary school-aged children: Prospective cohort study

No prospective studies have examined the prevalence, antecedents or concurrent characteristics associated with self-harm in non-treatment-seeking primary school-aged children. In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8-9 years (wave 1) to 11-12 years...

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Veröffentlicht in:PloS one 2020-11, Vol.15 (11), p.e0242802-e0242802
Hauptverfasser: Borschmann, Rohan, Mundy, Lisa K, Canterford, Louise, Moreno-Betancur, Margarita, Moran, Paul A, Allen, Nicholas B, Viner, Russell M, Degenhardt, Louisa, Kosola, Silja, Fedyszyn, Izabela, Patton, George C
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container_issue 11
container_start_page e0242802
container_title PloS one
container_volume 15
creator Borschmann, Rohan
Mundy, Lisa K
Canterford, Louise
Moreno-Betancur, Margarita
Moran, Paul A
Allen, Nicholas B
Viner, Russell M
Degenhardt, Louisa
Kosola, Silja
Fedyszyn, Izabela
Patton, George C
description No prospective studies have examined the prevalence, antecedents or concurrent characteristics associated with self-harm in non-treatment-seeking primary school-aged children. In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8-9 years (wave 1) to 11-12 years (wave 4) on a range of health, social, educational and family measures. Past-year self-harm was assessed at wave 4. We estimated the prevalence of self-harm and used multivariable logistic regression to examine associations with concurrent and antecedent factors. 28 participants (3% of the 1059 with self-harm data; 18 girls [3%], 10 boys [2%]) reported self-harm at age 11-12 years. Antecedent (waves 1-3) predictors of self-harm were: persistent symptoms of depression (sex-age-socioeconomic status adjusted odds ratio [aOR]: 7.8; 95% confidence intervals [CI] 2.6 to 24) or anxiety (aOR: 5.1; 95%CI 2.1 to 12), frequent bullying victimisation (aOR: 24.6; 95%CI 3.8 to 158), and recent alcohol consumption (aOR: 2.9; 95%CI 1.2 to 7.1). Concurrent (wave 4) associations with self-harm were: having few friends (aOR: 8.7; 95%CI 3.2 to 24), poor emotional control (aOR: 4.2; 95%CI 1.9 to 9.6), antisocial behaviour (theft-aOR: 3.1; 95%CI 1.2 to 7.9; carrying a weapon-aOR: 6.9; 95%CI 3.1 to 15), and being in mid-puberty (aOR: 6.5; 95%CI 1.5 to 28) or late/post-puberty (aOR: 14.4; 95%CI 2.9 to 70). The focus of intervention efforts aimed at preventing and reducing adolescent self-harm should extend to primary school-aged children, with a focus on mental health and peer relationships during the pubertal transition.
doi_str_mv 10.1371/journal.pone.0242802
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In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8-9 years (wave 1) to 11-12 years (wave 4) on a range of health, social, educational and family measures. Past-year self-harm was assessed at wave 4. We estimated the prevalence of self-harm and used multivariable logistic regression to examine associations with concurrent and antecedent factors. 28 participants (3% of the 1059 with self-harm data; 18 girls [3%], 10 boys [2%]) reported self-harm at age 11-12 years. Antecedent (waves 1-3) predictors of self-harm were: persistent symptoms of depression (sex-age-socioeconomic status adjusted odds ratio [aOR]: 7.8; 95% confidence intervals [CI] 2.6 to 24) or anxiety (aOR: 5.1; 95%CI 2.1 to 12), frequent bullying victimisation (aOR: 24.6; 95%CI 3.8 to 158), and recent alcohol consumption (aOR: 2.9; 95%CI 1.2 to 7.1). Concurrent (wave 4) associations with self-harm were: having few friends (aOR: 8.7; 95%CI 3.2 to 24), poor emotional control (aOR: 4.2; 95%CI 1.9 to 9.6), antisocial behaviour (theft-aOR: 3.1; 95%CI 1.2 to 7.9; carrying a weapon-aOR: 6.9; 95%CI 3.1 to 15), and being in mid-puberty (aOR: 6.5; 95%CI 1.5 to 28) or late/post-puberty (aOR: 14.4; 95%CI 2.9 to 70). 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The focus of intervention efforts aimed at preventing and reducing adolescent self-harm should extend to primary school-aged children, with a focus on mental health and peer relationships during the pubertal transition.</description><subject>Adolescents</subject><subject>Age</subject><subject>Alcohol</subject><subject>Alcohol use</subject><subject>Anxiety</subject><subject>Anxiety Disorders - epidemiology</subject><subject>Anxiety Disorders - psychology</subject><subject>Australia - epidemiology</subject><subject>Biology and Life Sciences</subject><subject>Bullying</subject><subject>Bullying - psychology</subject><subject>Child</subject><subject>Child development</subject><subject>Children</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Crime Victims - psychology</subject><subject>Demographic aspects</subject><subject>Elementary school students</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Humans</subject><subject>Interpersonal Relations</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Men - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Borschmann, Rohan</au><au>Mundy, Lisa K</au><au>Canterford, Louise</au><au>Moreno-Betancur, Margarita</au><au>Moran, Paul A</au><au>Allen, Nicholas B</au><au>Viner, Russell M</au><au>Degenhardt, Louisa</au><au>Kosola, Silja</au><au>Fedyszyn, Izabela</au><au>Patton, George C</au><au>Wasserman, Danuta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-harm in primary school-aged children: Prospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-11-30</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0242802</spage><epage>e0242802</epage><pages>e0242802-e0242802</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>No prospective studies have examined the prevalence, antecedents or concurrent characteristics associated with self-harm in non-treatment-seeking primary school-aged children. In this cohort study from Melbourne, Australia we assessed 1239 children annually from age 8-9 years (wave 1) to 11-12 years (wave 4) on a range of health, social, educational and family measures. Past-year self-harm was assessed at wave 4. We estimated the prevalence of self-harm and used multivariable logistic regression to examine associations with concurrent and antecedent factors. 28 participants (3% of the 1059 with self-harm data; 18 girls [3%], 10 boys [2%]) reported self-harm at age 11-12 years. Antecedent (waves 1-3) predictors of self-harm were: persistent symptoms of depression (sex-age-socioeconomic status adjusted odds ratio [aOR]: 7.8; 95% confidence intervals [CI] 2.6 to 24) or anxiety (aOR: 5.1; 95%CI 2.1 to 12), frequent bullying victimisation (aOR: 24.6; 95%CI 3.8 to 158), and recent alcohol consumption (aOR: 2.9; 95%CI 1.2 to 7.1). Concurrent (wave 4) associations with self-harm were: having few friends (aOR: 8.7; 95%CI 3.2 to 24), poor emotional control (aOR: 4.2; 95%CI 1.9 to 9.6), antisocial behaviour (theft-aOR: 3.1; 95%CI 1.2 to 7.9; carrying a weapon-aOR: 6.9; 95%CI 3.1 to 15), and being in mid-puberty (aOR: 6.5; 95%CI 1.5 to 28) or late/post-puberty (aOR: 14.4; 95%CI 2.9 to 70). The focus of intervention efforts aimed at preventing and reducing adolescent self-harm should extend to primary school-aged children, with a focus on mental health and peer relationships during the pubertal transition.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33253223</pmid><doi>10.1371/journal.pone.0242802</doi><tpages>e0242802</tpages><orcidid>https://orcid.org/0000-0002-0365-7775</orcidid><orcidid>https://orcid.org/0000-0002-2881-8299</orcidid><oa>free_for_read</oa></addata></record>
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1932-6203
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source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Adolescents
Age
Alcohol
Alcohol use
Anxiety
Anxiety Disorders - epidemiology
Anxiety Disorders - psychology
Australia - epidemiology
Biology and Life Sciences
Bullying
Bullying - psychology
Child
Child development
Children
Cohort analysis
Cohort Studies
Confidence intervals
Crime Victims - psychology
Demographic aspects
Elementary school students
Epidemiology
Female
Health aspects
Health risks
Humans
Interpersonal Relations
Male
Medicine and Health Sciences
Men - psychology
Mental disorders
Mental Health
Pediatric research
Pediatrics
People and Places
Poisoning
Population
Psychological aspects
Puberty
Questionnaires
Risk Factors
Schools
Self destructive behavior
Self injurious behavior
Self-Injurious Behavior - epidemiology
Self-Injurious Behavior - psychology
Self-injury
Social behavior
Social Sciences
Socioeconomics
Statistical analysis
Statistics
Students
Teenagers
Theft
title Self-harm in primary school-aged children: Prospective cohort study
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