Risk and protective factors for childhood suicidality: a US population-based study
Childhood suicidal ideation and behaviours are poorly understood. We examined correlates of suicidality in a US population-based sample of children participating in the Adolescent Brain and Cognitive Development (ABCD) study. The ABCD study aims to examine trajectories of mental health from childhoo...
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| Veröffentlicht in: | The Lancet. Psychiatry 2020-04, Vol.7 (4), p.317-326 |
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| creator | Janiri, Delfina Doucet, Gaelle E Pompili, Maurizio Sani, Gabriele Luna, Beatriz Brent, David A Frangou, Sophia |
| description | Childhood suicidal ideation and behaviours are poorly understood. We examined correlates of suicidality in a US population-based sample of children participating in the Adolescent Brain and Cognitive Development (ABCD) study. The ABCD study aims to examine trajectories of mental health from childhood to adulthood and collects information on multiple domains, including mental and physical wellbeing, brain imaging, behavioural and cognitive characteristics, and social and family environment. We sought to identify and rank risk and protective factors for childhood suicidal thoughts and behaviours across these multiple domains and evaluate their association with self-agreement and caregiver agreement in reporting suicidality.
The ABCD sample comprises a cohort of 11 875 children aged 9–10 years. The sociodemographic factors on which the sample was recruited were age, sex, race, socioeconomic status, and urbanicity. Participants were enrolled at 22 sites, the catchment area of which encompassed over 20% of the entire US population in this age group. Multistage sampling was used to ensure both local randomisation and representativeness of sociodemographic variation of the ABCD sample. The data used in this study were accessed from the ABCD Study Curated Annual Release 2.0. Suicidal thoughts and behaviours (suicidality) in each child were evaluated through independent child and caregiver reports based on the computerized Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5 (KSADS-5). We used bootstrapped logistic regression to quantify the association between suicidal ideation and behaviours, with measures of mental and physical wellbeing, behaviour, cognition, and social and family environment in participants from the ABCD study.
Our study sample comprised 7994 unrelated children (mean age 9·9 years [SD 0·5]; 4234 [53%] male participants) with complete data on child-reported and caregiver-reported suicidal ideas and behaviours. Overall, 673 (8·4%) children reported any past or current suicidal ideation, 75 (0·9%) had any past or current suicidal plans, and 107 (1·3%) had any past or current suicidal attempts. According to caregivers, 650 (8·1%) of the children reported any past or current suicidal ideation, 46 (0·6%) reported any past or current suicidal plans, and 39 (0·5%) reported past or current suicidal attempts. However, inter-informant agreement was low (Cohen's κ range 0·0–0·2). Regardless of informant, child psychopathology (odds ratio [O |
| doi_str_mv | 10.1016/S2215-0366(20)30049-3 |
| format | Article |
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The ABCD sample comprises a cohort of 11 875 children aged 9–10 years. The sociodemographic factors on which the sample was recruited were age, sex, race, socioeconomic status, and urbanicity. Participants were enrolled at 22 sites, the catchment area of which encompassed over 20% of the entire US population in this age group. Multistage sampling was used to ensure both local randomisation and representativeness of sociodemographic variation of the ABCD sample. The data used in this study were accessed from the ABCD Study Curated Annual Release 2.0. Suicidal thoughts and behaviours (suicidality) in each child were evaluated through independent child and caregiver reports based on the computerized Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5 (KSADS-5). We used bootstrapped logistic regression to quantify the association between suicidal ideation and behaviours, with measures of mental and physical wellbeing, behaviour, cognition, and social and family environment in participants from the ABCD study.
Our study sample comprised 7994 unrelated children (mean age 9·9 years [SD 0·5]; 4234 [53%] male participants) with complete data on child-reported and caregiver-reported suicidal ideas and behaviours. Overall, 673 (8·4%) children reported any past or current suicidal ideation, 75 (0·9%) had any past or current suicidal plans, and 107 (1·3%) had any past or current suicidal attempts. According to caregivers, 650 (8·1%) of the children reported any past or current suicidal ideation, 46 (0·6%) reported any past or current suicidal plans, and 39 (0·5%) reported past or current suicidal attempts. However, inter-informant agreement was low (Cohen's κ range 0·0–0·2). Regardless of informant, child psychopathology (odds ratio [OR] 1·7–4·8, 95% CI 1·5–7·4) and child-reported family conflict (OR 1·4–1·8, 95% CI 1·1–2·5) were the most robust risk factors for suicidality. The risk of child-reported suicidality increased with higher weekend screen use time (OR 1·3, 95% CI 1·2–1·7) and reduced with greater parental supervision and positive school involvement (for both OR 0·8, 95% CI 0·7–0·9). Additionally, caregiver-reported suicidality was positively associated with caregiver educational level (OR 1·3, 95% CI 1·1–1·5) and male sex in children (1·5, 1·1–2·0), and inversely associated with the number of household cohabitants (0·8, 0·7–1·0).
We identified risk and protective factors that show robust and generalisable associations with childhood suicidality. These factors provide actionable targets for optimising prevention and intervention strategies, support the need to identify and treat psychopathology in school-age children, and underscore the importance of school and family interventions for childhood suicidality.
National Institutes of Health.</description><identifier>ISSN: 2215-0366</identifier><identifier>EISSN: 2215-0374</identifier><identifier>DOI: 10.1016/S2215-0366(20)30049-3</identifier><identifier>PMID: 32171431</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Child ; Educational Status ; Family ; Female ; Humans ; Logistic Models ; Male ; Mental Health ; Protective Factors ; Risk Factors ; Screen Time ; Social Environment ; Suicidal Ideation ; Suicide, Attempted - psychology ; Suicide, Attempted - statistics & numerical data ; United States</subject><ispartof>The Lancet. Psychiatry, 2020-04, Vol.7 (4), p.317-326</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-b434bf63ae150e39cac8192a664ce766622e3cb6cbacd1e220a09fa71578674c3</citedby><cites>FETCH-LOGICAL-c467t-b434bf63ae150e39cac8192a664ce766622e3cb6cbacd1e220a09fa71578674c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32171431$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Janiri, Delfina</creatorcontrib><creatorcontrib>Doucet, Gaelle E</creatorcontrib><creatorcontrib>Pompili, Maurizio</creatorcontrib><creatorcontrib>Sani, Gabriele</creatorcontrib><creatorcontrib>Luna, Beatriz</creatorcontrib><creatorcontrib>Brent, David A</creatorcontrib><creatorcontrib>Frangou, Sophia</creatorcontrib><title>Risk and protective factors for childhood suicidality: a US population-based study</title><title>The Lancet. Psychiatry</title><addtitle>Lancet Psychiatry</addtitle><description>Childhood suicidal ideation and behaviours are poorly understood. We examined correlates of suicidality in a US population-based sample of children participating in the Adolescent Brain and Cognitive Development (ABCD) study. The ABCD study aims to examine trajectories of mental health from childhood to adulthood and collects information on multiple domains, including mental and physical wellbeing, brain imaging, behavioural and cognitive characteristics, and social and family environment. We sought to identify and rank risk and protective factors for childhood suicidal thoughts and behaviours across these multiple domains and evaluate their association with self-agreement and caregiver agreement in reporting suicidality.
The ABCD sample comprises a cohort of 11 875 children aged 9–10 years. The sociodemographic factors on which the sample was recruited were age, sex, race, socioeconomic status, and urbanicity. Participants were enrolled at 22 sites, the catchment area of which encompassed over 20% of the entire US population in this age group. Multistage sampling was used to ensure both local randomisation and representativeness of sociodemographic variation of the ABCD sample. The data used in this study were accessed from the ABCD Study Curated Annual Release 2.0. Suicidal thoughts and behaviours (suicidality) in each child were evaluated through independent child and caregiver reports based on the computerized Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5 (KSADS-5). We used bootstrapped logistic regression to quantify the association between suicidal ideation and behaviours, with measures of mental and physical wellbeing, behaviour, cognition, and social and family environment in participants from the ABCD study.
Our study sample comprised 7994 unrelated children (mean age 9·9 years [SD 0·5]; 4234 [53%] male participants) with complete data on child-reported and caregiver-reported suicidal ideas and behaviours. Overall, 673 (8·4%) children reported any past or current suicidal ideation, 75 (0·9%) had any past or current suicidal plans, and 107 (1·3%) had any past or current suicidal attempts. According to caregivers, 650 (8·1%) of the children reported any past or current suicidal ideation, 46 (0·6%) reported any past or current suicidal plans, and 39 (0·5%) reported past or current suicidal attempts. However, inter-informant agreement was low (Cohen's κ range 0·0–0·2). Regardless of informant, child psychopathology (odds ratio [OR] 1·7–4·8, 95% CI 1·5–7·4) and child-reported family conflict (OR 1·4–1·8, 95% CI 1·1–2·5) were the most robust risk factors for suicidality. The risk of child-reported suicidality increased with higher weekend screen use time (OR 1·3, 95% CI 1·2–1·7) and reduced with greater parental supervision and positive school involvement (for both OR 0·8, 95% CI 0·7–0·9). Additionally, caregiver-reported suicidality was positively associated with caregiver educational level (OR 1·3, 95% CI 1·1–1·5) and male sex in children (1·5, 1·1–2·0), and inversely associated with the number of household cohabitants (0·8, 0·7–1·0).
We identified risk and protective factors that show robust and generalisable associations with childhood suicidality. These factors provide actionable targets for optimising prevention and intervention strategies, support the need to identify and treat psychopathology in school-age children, and underscore the importance of school and family interventions for childhood suicidality.
National Institutes of Health.</description><subject>Child</subject><subject>Educational Status</subject><subject>Family</subject><subject>Female</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Mental Health</subject><subject>Protective Factors</subject><subject>Risk Factors</subject><subject>Screen Time</subject><subject>Social Environment</subject><subject>Suicidal Ideation</subject><subject>Suicide, Attempted - psychology</subject><subject>Suicide, Attempted - statistics & numerical data</subject><subject>United States</subject><issn>2215-0366</issn><issn>2215-0374</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1P3DAQhq2qVUHAT2jlIz2k-Cv2hkOrCrWAhFQJytlyxpOuIRuntrPS_vsGdlm1J0627GfeGc1DyAfOPnPG9dmdELyumNT6VLBPkjHVVPINOdw9G_V2f9f6gJzk_MAY41Kx2qj35EAKbriS_JDc3ob8SN3g6ZhiQShhjbRzUGLKtIuJwjL0fhmjp3kKELzrQ9mcU0fv7-gYx6l3JcShal3GGSmT3xyTd53rM57sziNy_-P7r4ur6ubn5fXFt5sKlDalapVUbaelQ14zlA04WPBGOK0VoNFaC4ESWg2tA89RCOZY0znDa7PQRoE8Il-2uePUrtADDiW53o4prFza2OiC_f9nCEv7O66tUbVe8HoOON0FpPhnwlzsKmTAvncDxilbIY3RCyYaM6P1FoUUc07Y7dtwZp-U2Gcl9mnfVjD7rMTKue7jvzPuq14EzMDXLYDzptYBk80QcAD0Ic02rI_hlRZ_AYOxnHQ</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Janiri, Delfina</creator><creator>Doucet, Gaelle E</creator><creator>Pompili, Maurizio</creator><creator>Sani, Gabriele</creator><creator>Luna, Beatriz</creator><creator>Brent, David A</creator><creator>Frangou, Sophia</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200401</creationdate><title>Risk and protective factors for childhood suicidality: a US population-based study</title><author>Janiri, Delfina ; Doucet, Gaelle E ; Pompili, Maurizio ; Sani, Gabriele ; Luna, Beatriz ; Brent, David A ; Frangou, Sophia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-b434bf63ae150e39cac8192a664ce766622e3cb6cbacd1e220a09fa71578674c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Child</topic><topic>Educational Status</topic><topic>Family</topic><topic>Female</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Mental Health</topic><topic>Protective Factors</topic><topic>Risk Factors</topic><topic>Screen Time</topic><topic>Social Environment</topic><topic>Suicidal Ideation</topic><topic>Suicide, Attempted - psychology</topic><topic>Suicide, Attempted - statistics & numerical data</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Janiri, Delfina</creatorcontrib><creatorcontrib>Doucet, Gaelle E</creatorcontrib><creatorcontrib>Pompili, Maurizio</creatorcontrib><creatorcontrib>Sani, Gabriele</creatorcontrib><creatorcontrib>Luna, Beatriz</creatorcontrib><creatorcontrib>Brent, David A</creatorcontrib><creatorcontrib>Frangou, Sophia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Lancet. Psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Janiri, Delfina</au><au>Doucet, Gaelle E</au><au>Pompili, Maurizio</au><au>Sani, Gabriele</au><au>Luna, Beatriz</au><au>Brent, David A</au><au>Frangou, Sophia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk and protective factors for childhood suicidality: a US population-based study</atitle><jtitle>The Lancet. Psychiatry</jtitle><addtitle>Lancet Psychiatry</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>7</volume><issue>4</issue><spage>317</spage><epage>326</epage><pages>317-326</pages><issn>2215-0366</issn><eissn>2215-0374</eissn><abstract>Childhood suicidal ideation and behaviours are poorly understood. We examined correlates of suicidality in a US population-based sample of children participating in the Adolescent Brain and Cognitive Development (ABCD) study. The ABCD study aims to examine trajectories of mental health from childhood to adulthood and collects information on multiple domains, including mental and physical wellbeing, brain imaging, behavioural and cognitive characteristics, and social and family environment. We sought to identify and rank risk and protective factors for childhood suicidal thoughts and behaviours across these multiple domains and evaluate their association with self-agreement and caregiver agreement in reporting suicidality.
The ABCD sample comprises a cohort of 11 875 children aged 9–10 years. The sociodemographic factors on which the sample was recruited were age, sex, race, socioeconomic status, and urbanicity. Participants were enrolled at 22 sites, the catchment area of which encompassed over 20% of the entire US population in this age group. Multistage sampling was used to ensure both local randomisation and representativeness of sociodemographic variation of the ABCD sample. The data used in this study were accessed from the ABCD Study Curated Annual Release 2.0. Suicidal thoughts and behaviours (suicidality) in each child were evaluated through independent child and caregiver reports based on the computerized Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5 (KSADS-5). We used bootstrapped logistic regression to quantify the association between suicidal ideation and behaviours, with measures of mental and physical wellbeing, behaviour, cognition, and social and family environment in participants from the ABCD study.
Our study sample comprised 7994 unrelated children (mean age 9·9 years [SD 0·5]; 4234 [53%] male participants) with complete data on child-reported and caregiver-reported suicidal ideas and behaviours. Overall, 673 (8·4%) children reported any past or current suicidal ideation, 75 (0·9%) had any past or current suicidal plans, and 107 (1·3%) had any past or current suicidal attempts. According to caregivers, 650 (8·1%) of the children reported any past or current suicidal ideation, 46 (0·6%) reported any past or current suicidal plans, and 39 (0·5%) reported past or current suicidal attempts. However, inter-informant agreement was low (Cohen's κ range 0·0–0·2). Regardless of informant, child psychopathology (odds ratio [OR] 1·7–4·8, 95% CI 1·5–7·4) and child-reported family conflict (OR 1·4–1·8, 95% CI 1·1–2·5) were the most robust risk factors for suicidality. The risk of child-reported suicidality increased with higher weekend screen use time (OR 1·3, 95% CI 1·2–1·7) and reduced with greater parental supervision and positive school involvement (for both OR 0·8, 95% CI 0·7–0·9). Additionally, caregiver-reported suicidality was positively associated with caregiver educational level (OR 1·3, 95% CI 1·1–1·5) and male sex in children (1·5, 1·1–2·0), and inversely associated with the number of household cohabitants (0·8, 0·7–1·0).
We identified risk and protective factors that show robust and generalisable associations with childhood suicidality. These factors provide actionable targets for optimising prevention and intervention strategies, support the need to identify and treat psychopathology in school-age children, and underscore the importance of school and family interventions for childhood suicidality.
National Institutes of Health.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32171431</pmid><doi>10.1016/S2215-0366(20)30049-3</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Child Educational Status Family Female Humans Logistic Models Male Mental Health Protective Factors Risk Factors Screen Time Social Environment Suicidal Ideation Suicide, Attempted - psychology Suicide, Attempted - statistics & numerical data United States |
| title | Risk and protective factors for childhood suicidality: a US population-based study |
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