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Association Between Nonmedical Use of Prescription Drugs and Suicidal Behavior Among Adolescents.

Identifieur interne : 000F66 ( Main/Exploration ); précédent : 000F65; suivant : 000F67

Association Between Nonmedical Use of Prescription Drugs and Suicidal Behavior Among Adolescents.

Auteurs : Lan Guo [Belgique] ; Yan Xu [République populaire de Chine] ; Jianxiong Deng [République populaire de Chine] ; Jinghui Huang [République populaire de Chine] ; Guoliang Huang [République populaire de Chine] ; Xue Gao [République populaire de Chine] ; Hong Wu [République populaire de Chine] ; Siyuan Pan [République populaire de Chine] ; Wei-Hong Zhang [Belgique] ; Ciyong Lu [République populaire de Chine]

Source :

RBID : pubmed:27533915

Descripteurs français

English descriptors

Abstract

Importance

Suicidal behavior is a leading cause of injury and death worldwide, and previous cross-sectional studies have demonstrated that nonmedical use of prescription drugs (NMUPD) was associated with suicidality. However, there is not any study in China having examined the longitudinal relationships between NMUPD, suicidal ideation, and suicidal attempts, as well as explored the potential mediating effects of depressive symptoms.

Objective

To determine whether baseline NMUPD was associated with subsequent suicidal ideation and attempts while controlling for depressive symptoms and to determine whether the increased risks were mediated by depressive symptoms.

Design, Setting, and Participants

In this longitudinal study, a total of 3273 students in randomly selected schools in Guangzhou were surveyed from 2009 to 2010 (response rate, 96.8%) and followed up at 1 year (2011-2012; retention rate, 96.1%). The dates of data analysis were October 9, 2015, to October 15, 2015; additional data analysis occurred March 23, 2016, to March 29, 2016.

Main Outcomes and Measures

Suicidal ideation, suicidal attempts, NMUPD, depressive symptoms, and alcohol-related problems.

Results

Overall, 3273 adolescents (mean [SD] age, 13.7 [1.0] years) were recruited for this study. The final results showed that after controlling for sociodemographic information (including sex, age, household socioeconomic status, and living arrangements), baseline depressive symptoms, baseline alcohol-related problems, baseline suicidal ideation, and baseline suicidal attempts, baseline opioids misuse (adjusted odds ratio [AOR], 2.31; 95% CI, 1.30-4.11), sedatives misuse (AOR, 4.46; 95% CI, 1.54-7.94), and nonmedical use of any prescription drug (AOR, 1.97; 95% CI, 1.21-3.23) were positively associated with suicidal ideation at follow-up. Additionally, baseline opioid misuse (AOR, 3.39; 95% CI, 1.33-5.63) and nonmedical use of any prescription drug (AOR, 2.91; 95% CI, 1.26-3.71) were also associated with subsequent suicidal attempts after controlling for sex, age, household socioeconomic status, living arrangements, depressive symptoms, alcohol-related problems, suicidal ideation, and suicidal attempts at baseline. There were significant standardized indirect effects of baseline opioids misuse on subsequent suicidal ideation (standardized β estimate = 0.020; 95% CI, 0.010-0.030) and suicidal attempts (standardized β estimate = 0.009; 95% CI, 0.004-0.015) through depressive symptoms; the standardized indirect effect of baseline sedatives misuse on subsequent suicidal ideation through depressive symptoms was also significant (standardized β estimate = 0.016; 95% CI, 0.005-0.026).

Conclusions and Relevance

In this study, NMUPD at baseline was associated with subsequent suicidal ideation and attempts. These findings support that proper surveillance systems with the potential to reduce adolescent suicidality should be established to control and supervise suicidality and NMUPD among Chinese adolescents.


DOI: 10.1001/jamapediatrics.2016.1802
PubMed: 27533915


Affiliations:


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<term>Cross-Sectional Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Longitudinal Studies (MeSH)</term>
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<term>Prescription Drugs (adverse effects)</term>
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<term>Adolescent (MeSH)</term>
<term>Automédication (psychologie)</term>
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<term>Facteurs de risque (MeSH)</term>
<term>Femelle (MeSH)</term>
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<term>Idéation suicidaire (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Médicaments sur ordonnance (effets indésirables)</term>
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<term>Chine</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Idéation suicidaire</term>
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<div type="abstract" xml:lang="en">
<p>
<b>Importance</b>
</p>
<p>Suicidal behavior is a leading cause of injury and death worldwide, and previous cross-sectional studies have demonstrated that nonmedical use of prescription drugs (NMUPD) was associated with suicidality. However, there is not any study in China having examined the longitudinal relationships between NMUPD, suicidal ideation, and suicidal attempts, as well as explored the potential mediating effects of depressive symptoms.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>Objective</b>
</p>
<p>To determine whether baseline NMUPD was associated with subsequent suicidal ideation and attempts while controlling for depressive symptoms and to determine whether the increased risks were mediated by depressive symptoms.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>Design, Setting, and Participants</b>
</p>
<p>In this longitudinal study, a total of 3273 students in randomly selected schools in Guangzhou were surveyed from 2009 to 2010 (response rate, 96.8%) and followed up at 1 year (2011-2012; retention rate, 96.1%). The dates of data analysis were October 9, 2015, to October 15, 2015; additional data analysis occurred March 23, 2016, to March 29, 2016.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>Main Outcomes and Measures</b>
</p>
<p>Suicidal ideation, suicidal attempts, NMUPD, depressive symptoms, and alcohol-related problems.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>Results</b>
</p>
<p>Overall, 3273 adolescents (mean [SD] age, 13.7 [1.0] years) were recruited for this study. The final results showed that after controlling for sociodemographic information (including sex, age, household socioeconomic status, and living arrangements), baseline depressive symptoms, baseline alcohol-related problems, baseline suicidal ideation, and baseline suicidal attempts, baseline opioids misuse (adjusted odds ratio [AOR], 2.31; 95% CI, 1.30-4.11), sedatives misuse (AOR, 4.46; 95% CI, 1.54-7.94), and nonmedical use of any prescription drug (AOR, 1.97; 95% CI, 1.21-3.23) were positively associated with suicidal ideation at follow-up. Additionally, baseline opioid misuse (AOR, 3.39; 95% CI, 1.33-5.63) and nonmedical use of any prescription drug (AOR, 2.91; 95% CI, 1.26-3.71) were also associated with subsequent suicidal attempts after controlling for sex, age, household socioeconomic status, living arrangements, depressive symptoms, alcohol-related problems, suicidal ideation, and suicidal attempts at baseline. There were significant standardized indirect effects of baseline opioids misuse on subsequent suicidal ideation (standardized β estimate = 0.020; 95% CI, 0.010-0.030) and suicidal attempts (standardized β estimate = 0.009; 95% CI, 0.004-0.015) through depressive symptoms; the standardized indirect effect of baseline sedatives misuse on subsequent suicidal ideation through depressive symptoms was also significant (standardized β estimate = 0.016; 95% CI, 0.005-0.026).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>Conclusions and Relevance</b>
</p>
<p>In this study, NMUPD at baseline was associated with subsequent suicidal ideation and attempts. These findings support that proper surveillance systems with the potential to reduce adolescent suicidality should be established to control and supervise suicidality and NMUPD among Chinese adolescents.</p>
</div>
</front>
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<Article PubModel="Print">
<Journal>
<ISSN IssnType="Electronic">2168-6211</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>170</Volume>
<Issue>10</Issue>
<PubDate>
<Year>2016</Year>
<Month>Oct</Month>
<Day>01</Day>
</PubDate>
</JournalIssue>
<Title>JAMA pediatrics</Title>
<ISOAbbreviation>JAMA Pediatr</ISOAbbreviation>
</Journal>
<ArticleTitle>Association Between Nonmedical Use of Prescription Drugs and Suicidal Behavior Among Adolescents.</ArticleTitle>
<Pagination>
<MedlinePgn>971-978</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1001/jamapediatrics.2016.1802</ELocationID>
<Abstract>
<AbstractText Label="Importance" NlmCategory="UNASSIGNED">Suicidal behavior is a leading cause of injury and death worldwide, and previous cross-sectional studies have demonstrated that nonmedical use of prescription drugs (NMUPD) was associated with suicidality. However, there is not any study in China having examined the longitudinal relationships between NMUPD, suicidal ideation, and suicidal attempts, as well as explored the potential mediating effects of depressive symptoms.</AbstractText>
<AbstractText Label="Objective" NlmCategory="UNASSIGNED">To determine whether baseline NMUPD was associated with subsequent suicidal ideation and attempts while controlling for depressive symptoms and to determine whether the increased risks were mediated by depressive symptoms.</AbstractText>
<AbstractText Label="Design, Setting, and Participants" NlmCategory="UNASSIGNED">In this longitudinal study, a total of 3273 students in randomly selected schools in Guangzhou were surveyed from 2009 to 2010 (response rate, 96.8%) and followed up at 1 year (2011-2012; retention rate, 96.1%). The dates of data analysis were October 9, 2015, to October 15, 2015; additional data analysis occurred March 23, 2016, to March 29, 2016.</AbstractText>
<AbstractText Label="Main Outcomes and Measures" NlmCategory="UNASSIGNED">Suicidal ideation, suicidal attempts, NMUPD, depressive symptoms, and alcohol-related problems.</AbstractText>
<AbstractText Label="Results" NlmCategory="UNASSIGNED">Overall, 3273 adolescents (mean [SD] age, 13.7 [1.0] years) were recruited for this study. The final results showed that after controlling for sociodemographic information (including sex, age, household socioeconomic status, and living arrangements), baseline depressive symptoms, baseline alcohol-related problems, baseline suicidal ideation, and baseline suicidal attempts, baseline opioids misuse (adjusted odds ratio [AOR], 2.31; 95% CI, 1.30-4.11), sedatives misuse (AOR, 4.46; 95% CI, 1.54-7.94), and nonmedical use of any prescription drug (AOR, 1.97; 95% CI, 1.21-3.23) were positively associated with suicidal ideation at follow-up. Additionally, baseline opioid misuse (AOR, 3.39; 95% CI, 1.33-5.63) and nonmedical use of any prescription drug (AOR, 2.91; 95% CI, 1.26-3.71) were also associated with subsequent suicidal attempts after controlling for sex, age, household socioeconomic status, living arrangements, depressive symptoms, alcohol-related problems, suicidal ideation, and suicidal attempts at baseline. There were significant standardized indirect effects of baseline opioids misuse on subsequent suicidal ideation (standardized β estimate = 0.020; 95% CI, 0.010-0.030) and suicidal attempts (standardized β estimate = 0.009; 95% CI, 0.004-0.015) through depressive symptoms; the standardized indirect effect of baseline sedatives misuse on subsequent suicidal ideation through depressive symptoms was also significant (standardized β estimate = 0.016; 95% CI, 0.005-0.026).</AbstractText>
<AbstractText Label="Conclusions and Relevance" NlmCategory="UNASSIGNED">In this study, NMUPD at baseline was associated with subsequent suicidal ideation and attempts. These findings support that proper surveillance systems with the potential to reduce adolescent suicidality should be established to control and supervise suicidality and NMUPD among Chinese adolescents.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Guo</LastName>
<ForeName>Lan</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, People's Republic of China2Epidemiology, Biostatistics and Clinical Research Center, School of Public Health, Université Libre de Bruxelles (ULB), Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Xu</LastName>
<ForeName>Yan</ForeName>
<Initials>Y</Initials>
<AffiliationInfo>
<Affiliation>Center for ADR Monitoring of Guangdong, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Deng</LastName>
<ForeName>Jianxiong</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Center for ADR Monitoring of Guangdong, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Huang</LastName>
<ForeName>Jinghui</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Center for ADR Monitoring of Guangdong, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Huang</LastName>
<ForeName>Guoliang</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>Center for ADR Monitoring of Guangdong, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Gao</LastName>
<ForeName>Xue</ForeName>
<Initials>X</Initials>
<AffiliationInfo>
<Affiliation>Center for ADR Monitoring of Guangdong, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wu</LastName>
<ForeName>Hong</ForeName>
<Initials>H</Initials>
<AffiliationInfo>
<Affiliation>Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Pan</LastName>
<ForeName>Siyuan</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Zhang</LastName>
<ForeName>Wei-Hong</ForeName>
<Initials>WH</Initials>
<AffiliationInfo>
<Affiliation>Epidemiology, Biostatistics and Clinical Research Center, School of Public Health, Université Libre de Bruxelles (ULB), Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Lu</LastName>
<ForeName>Ciyong</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>JAMA Pediatr</MedlineTA>
<NlmUniqueID>101589544</NlmUniqueID>
<ISSNLinking>2168-6203</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D055553">Prescription Drugs</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>AIM</CitationSubset>
<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList>
<CommentsCorrections RefType="ErratumIn">
<RefSource>JAMA Pediatr. 2017 Jan 1;171(1):94</RefSource>
<PMID Version="1">27842185</PMID>
</CommentsCorrections>
</CommentsCorrectionsList>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000294" MajorTopicYN="N">Adolescent Behavior</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002681" MajorTopicYN="N">China</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D063487" MajorTopicYN="N">Prescription Drug Misuse</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D055553" MajorTopicYN="N">Prescription Drugs</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012651" MajorTopicYN="N">Self Medication</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D059020" MajorTopicYN="N">Suicidal Ideation</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013405" MajorTopicYN="N">Suicide</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="pubmed">
<Year>2016</Year>
<Month>8</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2017</Year>
<Month>5</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2016</Year>
<Month>8</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">27533915</ArticleId>
<ArticleId IdType="pii">2543282</ArticleId>
<ArticleId IdType="doi">10.1001/jamapediatrics.2016.1802</ArticleId>
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</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Belgique</li>
<li>République populaire de Chine</li>
</country>
<region>
<li>Guangdong</li>
<li>Région de Bruxelles-Capitale</li>
</region>
<settlement>
<li>Bruxelles</li>
<li>Jiangmen</li>
</settlement>
<orgName>
<li>Université libre de Bruxelles</li>
</orgName>
</list>
<tree>
<country name="Belgique">
<region name="Région de Bruxelles-Capitale">
<name sortKey="Guo, Lan" sort="Guo, Lan" uniqKey="Guo L" first="Lan" last="Guo">Lan Guo</name>
</region>
<name sortKey="Zhang, Wei Hong" sort="Zhang, Wei Hong" uniqKey="Zhang W" first="Wei-Hong" last="Zhang">Wei-Hong Zhang</name>
</country>
<country name="République populaire de Chine">
<region name="Guangdong">
<name sortKey="Xu, Yan" sort="Xu, Yan" uniqKey="Xu Y" first="Yan" last="Xu">Yan Xu</name>
</region>
<name sortKey="Deng, Jianxiong" sort="Deng, Jianxiong" uniqKey="Deng J" first="Jianxiong" last="Deng">Jianxiong Deng</name>
<name sortKey="Gao, Xue" sort="Gao, Xue" uniqKey="Gao X" first="Xue" last="Gao">Xue Gao</name>
<name sortKey="Huang, Guoliang" sort="Huang, Guoliang" uniqKey="Huang G" first="Guoliang" last="Huang">Guoliang Huang</name>
<name sortKey="Huang, Jinghui" sort="Huang, Jinghui" uniqKey="Huang J" first="Jinghui" last="Huang">Jinghui Huang</name>
<name sortKey="Lu, Ciyong" sort="Lu, Ciyong" uniqKey="Lu C" first="Ciyong" last="Lu">Ciyong Lu</name>
<name sortKey="Pan, Siyuan" sort="Pan, Siyuan" uniqKey="Pan S" first="Siyuan" last="Pan">Siyuan Pan</name>
<name sortKey="Wu, Hong" sort="Wu, Hong" uniqKey="Wu H" first="Hong" last="Wu">Hong Wu</name>
</country>
</tree>
</affiliations>
</record>

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