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      Age and Birth Cohort–Adjusted Rates of Suicide Mortality Among US Male and Female Youths Aged 10 to 19 Years From 1999 to 2017

      research-article
      , MD, MPH 1 , , , MD, PhD 1
      JAMA Network Open
      American Medical Association

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          Abstract

          This cross-sectional study examines time trends and sex differences in the suicide mortality rate among US youths adjusted for birth cohort and age.

          Key Points

          Question

          Does a measure of suicide mortality calculated by adjusting for chronological age and year of birth differ from unadjusted models?

          Findings

          In this multiyear cross-sectional study using data from the US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database, age and birth cohort–adjusted suicide mortality rates were estimated after controlling for a curved age effect and a V-shaped cohort effect that also differed by sex. The adjusted rates showed a more rapid increase and a smaller sex difference in the suicide mortality rates for US youths aged 10 to 19 years from 1999 to 2017.

          Meaning

          Age and birth cohort–adjusted suicide mortality rates may be an unbiased measure of the time trend and sex pattern in suicide among US youths and may be useful for informing evidence-based suicide prevention.

          Abstract

          Importance

          Strategic planning to curb increasing suicide rate among US youths requires unbiased measures of suicide mortality, as the unadjusted suicide mortality rates conventionally used in describing time trends and sex patterns are confounded by the differences in chronological age and year of birth.

          Objective

          To measure time trends and sex differences in suicide mortality among US youths using age and birth cohort (age-cohort)–adjusted rates.

          Design, Setting, and Participants

          This population-based multiyear cross-sectional study of US youths aged 10 to 19 years was a secondary analysis of the suicide data for January 1, 1999, to December 31, 2017, derived from the Wide-Ranging Online Data for Epidemiologic Research, a database prepared by the US Centers for Disease Control and Prevention to promote research. Data analysis was conducted from May 24 to May 27, 2019.

          Main Outcomes and Measures

          Age-cohort–adjusted suicide mortality rates by year and sex were used as the main outcomes. These adjusted rates were calculated based on the period effect estimated with the age-period-cohort (APC) modeling method. Participants’ age, year of birth, and the year when suicide occurred were used as time-related risk factors.

          Results

          Age-cohort–adjusted suicide mortality rates were estimated successfully by year and by sex. The adjusted rates were obtained after controlling for a V-shaped cohort effect and a curved age effect that also differed by sex. The unadjusted suicide mortality rate for male youths increased from 7.4 per 100 000 in 1999 to 10.7 per 100 000 in 2017, while the adjusted rate increased from 4.9 per 100 000 in 1999 to 8.7 per 100 000 in 2017. The unadjusted suicide mortality rates for female youths were 1.6 per 100 000 in 1999 and 3.5 per 100 000 in 2017, while the adjusted rates were 1.7 per 100 000 in 1999 and 4.2 per 100 000 in 2017.

          Conclusions and Relevance

          Findings of this study indicate a more rapid increase and smaller male-female difference in suicide rates among US youths since 1999 than those shown by the unadjusted suicide mortality rates. The adjusted rates provide unbiased data that are needed for evidence-based decision-making and strategies to curb the increasing suicide rates among US youths.

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          Most cited references15

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          Vital Signs: Trends in State Suicide Rates — United States, 1999–2016 and Circumstances Contributing to Suicide — 27 States, 2015

          Introduction Suicide rates in the United States have risen nearly 30% since 1999, and mental health conditions are one of several factors contributing to suicide. Examining state-level trends in suicide and the multiple circumstances contributing to it can inform comprehensive state suicide prevention planning. Methods Trends in age-adjusted suicide rates among persons aged ≥10 years, by state and sex, across six consecutive 3-year periods (1999–2016), were assessed using data from the National Vital Statistics System for 50 states and the District of Columbia. Data from the National Violent Death Reporting System, covering 27 states in 2015, were used to examine contributing circumstances among decedents with and without known mental health conditions. Results During 1999–2016, suicide rates increased significantly in 44 states, with 25 states experiencing increases >30%. Rates increased significantly among males and females in 34 and 43 states, respectively. Fifty-four percent of decedents in 27 states in 2015 did not have a known mental health condition. Among decedents with available information, several circumstances were significantly more likely among those without known mental health conditions than among those with mental health conditions, including relationship problems/loss (45.1% versus 39.6%), life stressors (50.5% versus 47.2%), and recent/impending crises (32.9% versus 26.0%), but these circumstances were common across groups. Conclusions Suicide rates increased significantly across most states during 1999–2016. Various circumstances contributed to suicides among persons with and without known mental health conditions. Implications for Public Health Practice States can use a comprehensive evidence-based public health approach to prevent suicide risk before it occurs, identify and support persons at risk, prevent reattempts, and help friends and family members in the aftermath of a suicide.
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            Social media and suicide: a public health perspective.

            There is increasing evidence that the Internet and social media can influence suicide-related behavior. Important questions are whether this influence poses a significant risk to the public and how public health approaches might be used to address the issue. To address these questions, we provide an overview of ways that social media can influence suicidal behavior, both negatively and positively, and we evaluate the evidence of the risk. We also discuss the legal complexities of this important topic and propose future directions for research and prevention programs based on a public health perspective.
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              Trends in Suicide Among Youth Aged 10 to 19 Years in the United States, 1975 to 2016

              Key Points Question Does the disproportionate increase in suicide rates among female youth indicate a narrowing of the historically large gap between male and female youth in suicide? Findings This cross-sectional study of 85 051 youth suicide deaths found a significant reduction in the gap between male and female rates of suicide among youth aged 10 to 19 in the United States, with the most pronounced narrowing in younger individuals. Female suicide rates by hanging or suffocation are approaching those of male youth, and significant differences by race/ethnicity also exist. Meaning A narrowing gap between male and female youth suicide rates underscores the importance of early suicide prevention efforts that take both sex and developmental level into consideration.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                13 September 2019
                September 2019
                13 September 2019
                : 2
                : 9
                : e1911383
                Affiliations
                [1 ]Department of Epidemiology, University of Florida, Gainesville
                Author notes
                Article Information
                Accepted for Publication: July 27, 2019.
                Published: September 13, 2019. doi:10.1001/jamanetworkopen.2019.11383
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Yu B et al. JAMA Network Open.
                Corresponding Author: Bin Yu, MD, MPH, Department of Epidemiology, University of Florida, 2004 Mowry Rd, Gainesville, FL 32610 ( byu@ 123456ufl.edu ).
                Author Contributions: Drs Yu and Chen had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Yu and Chen contributed equally to this study.
                Concept and design: Both authors.
                Acquisition, analysis, or interpretation of data: Both authors.
                Drafting of the manuscript: Both authors.
                Critical revision of the manuscript for important intellectual content: Both authors.
                Statistical analysis: Both authors.
                Administrative, technical, or material support: Yu.
                Supervision: Chen.
                Conflict of Interest Disclosures: None reported.
                Additional Contributions: Carolyn Bradley, PhD (Southern HIV and Alcohol Research Consortium, University of Florida), contributed to editing the language of this article. Dr Bradley received no compensation for the contribution.
                Article
                zoi190443
                10.1001/jamanetworkopen.2019.11383
                6745055
                31517968
                aa33a12a-1601-4758-a879-b1232e1391b3
                Copyright 2019 Yu B et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 28 May 2019
                : 27 July 2019
                Categories
                Research
                Original Investigation
                Online Only
                Psychiatry

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