Self-reported suicide attempts by adolescents. 1997

D J Safer
Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

A thorough medical literature review of adolescent self-reported suicide attempts focused on comparing the following: (1) the prevalence of attempts in anonymous vs. face-to-face surveys; (2) the prevalence rates in the United States and Canada vs. those reported elsewhere; and (3) the prevalence of attempt findings vs. self-harm behavior in anonymous surveys. The major findings were: (1) 29 anonymous self-report questionnaire studies from nine countries revealed that a median of 7-10% of adolescent students acknowledged having made one or more suicide attempts; (2) seven structured interview studies revealed a 3-4% lifetime prevalence of attempted suicide by adolescents; (3) self-report questionnaire responses failed to reveal any overlap between deliberate self-harm behavior and suicide attempts; (4) nonanonymous studies had an unusually high rate of refusal. Thus, self-reported suicide attempts are surprisingly frequent in adolescence and are reported two to three times more often under conditions of anonymity. Furthermore, youths report self-harm behavior as distinct from suicide attempts.

UI MeSH Term Description Entries
D008297 Male Males
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012650 Self Disclosure A willingness to reveal information about oneself to others. Disclosure, Self,Disclosures, Self,Self Disclosures
D013406 Suicide, Attempted The unsuccessful attempt to kill oneself. Parasuicide,Suicide Attempt,Attempt, Suicide,Attempted Suicide,Parasuicides
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015982 Bias Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions. Aggregation Bias,Bias, Aggregation,Bias, Ecological,Bias, Statistical,Bias, Systematic,Ecological Bias,Outcome Measurement Errors,Statistical Bias,Systematic Bias,Bias, Epidemiologic,Biases,Biases, Ecological,Biases, Statistical,Ecological Biases,Ecological Fallacies,Ecological Fallacy,Epidemiologic Biases,Experimental Bias,Fallacies, Ecological,Fallacy, Ecological,Scientific Bias,Statistical Biases,Truncation Bias,Truncation Biases,Bias, Experimental,Bias, Scientific,Bias, Truncation,Biase, Epidemiologic,Biases, Epidemiologic,Biases, Truncation,Epidemiologic Biase,Error, Outcome Measurement,Errors, Outcome Measurement,Outcome Measurement Error

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