Ronald C Kessler1, Shelli Avenevoli2, E Jane Costello2, Jennifer Greif Green2, Michael J Gruber2, Steven Heeringa2, Kathleen R Merikangas2, Beth-Ellen Pennell2, Nancy A Sampson2, Alan M Zaslavsky2. 1. Drs. Kessler, Green, and Zaslavsky and Mr. Gruber and Mrs. Sampson are with the Department of Health Care Policy, Harvard Medical School; Dr. Avenevoli is with the Division of Developmental Translational Research, National Institute of Mental Health; Dr. Costello is with the Center for Developmental Epidemiology, Department of Psychiatry and Behavioral Sciences, Duke University Medical School; Dr. Heeringa and Ms. Pennell are with the Survey Research Center, Institute for Social Research, University of Michigan; and Dr. Merikangas is with the Genetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health. Electronic address: Kessler@hcp.med.harvard.edu. 2. Drs. Kessler, Green, and Zaslavsky and Mr. Gruber and Mrs. Sampson are with the Department of Health Care Policy, Harvard Medical School; Dr. Avenevoli is with the Division of Developmental Translational Research, National Institute of Mental Health; Dr. Costello is with the Center for Developmental Epidemiology, Department of Psychiatry and Behavioral Sciences, Duke University Medical School; Dr. Heeringa and Ms. Pennell are with the Survey Research Center, Institute for Social Research, University of Michigan; and Dr. Merikangas is with the Genetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health.
Abstract
OBJECTIVE: To present an overview of the design and field procedures of the National Comorbidity Survey Replication Adolescent Supplement (NCS-A). METHOD: The NCS-A is a nationally representative face-to-face household survey of the prevalence and correlates of DSM-IV mental disorders among U.S. adolescents (aged 13-17 years) that was performed between February 2001 and January 2004 by the Survey Research Center of the Institute for Social Research at the University of Michigan. The sample was based on a dual-frame design that included 904 adolescent residents of the households that participated in the National Comorbidity Survey Replication (response rate 85.9%) and 9,244 adolescent students selected from a representative sample of 320 schools in the same nationally representative sample of counties as the National Comorbidity Survey Replication (response rate 74.7%). RESULTS: Comparisons of sample and population distributions on census sociodemographic variables and, in the school sample, school characteristics documented onlyminor differences that were corrected with poststratification weighting. Comparisons of DSM-IV disorder prevalence estimates among household versus school sample respondents in counties that differed in the use of replacement schools for originally selected schools that refused to participate showed that the use of replacement schools did not introduce bias into prevalence estimates. CONCLUSIONS: The NCS-A is a rich nationally representative dataset that will substantially increase understanding of the mental health and well-being of adolescents in the United States.
OBJECTIVE: To present an overview of the design and field procedures of the National Comorbidity Survey Replication Adolescent Supplement (NCS-A). METHOD: The NCS-A is a nationally representative face-to-face household survey of the prevalence and correlates of DSM-IV mental disorders among U.S. adolescents (aged 13-17 years) that was performed between February 2001 and January 2004 by the Survey Research Center of the Institute for Social Research at the University of Michigan. The sample was based on a dual-frame design that included 904 adolescent residents of the households that participated in the National Comorbidity Survey Replication (response rate 85.9%) and 9,244 adolescent students selected from a representative sample of 320 schools in the same nationally representative sample of counties as the National Comorbidity Survey Replication (response rate 74.7%). RESULTS: Comparisons of sample and population distributions on census sociodemographic variables and, in the school sample, school characteristics documented onlyminor differences that were corrected with poststratification weighting. Comparisons of DSM-IV disorder prevalence estimates among household versus school sample respondents in counties that differed in the use of replacement schools for originally selected schools that refused to participate showed that the use of replacement schools did not introduce bias into prevalence estimates. CONCLUSIONS: The NCS-A is a rich nationally representative dataset that will substantially increase understanding of the mental health and well-being of adolescents in the United States.
Authors: Ronald C Kessler; Patricia Berglund; Wai Tat Chiu; Olga Demler; Steven Heeringa; Eva Hiripi; Robert Jin; Beth-Ellen Pennell; Ellen E Walters; Alan Zaslavsky; Hui Zheng Journal: Int J Methods Psychiatr Res Date: 2004 Impact factor: 4.035
Authors: Ronald C Kessler; Shelli Avenevoli; E Jane Costello; Jennifer Greif Green; Michael J Gruber; Steven Heeringa; Kathleen R Merikangas; Beth-Ellen Pennell; Nancy A Sampson; Alan M Zaslavsky Journal: Int J Methods Psychiatr Res Date: 2009-06 Impact factor: 4.035
Authors: Ronald C Kessler; Shelli Avenevoli; E Jane Costello; Katholiki Georgiades; Jennifer Greif Green; Michael J Gruber; Jian-ping He; Doreen Koretz; Katie A McLaughlin; Maria Petukhova; Nancy A Sampson; Alan M Zaslavsky; Kathleen Ries Merikangas Journal: Arch Gen Psychiatry Date: 2011-12-05
Authors: Theresa S Betancourt; Julia E Rubin-Smith; William R Beardslee; Sara N Stulac; Ildephonse Fayida; Steven Safren Journal: AIDS Care Date: 2011-04
Authors: Jennifer Greif Green; Shelli Avenevoli; Michael J Gruber; Ronald C Kessler; Matthew D Lakoma; Kathleen Ries Merikangas; Nancy A Sampson; Alan M Zaslavsky Journal: Int J Methods Psychiatr Res Date: 2011-11-15 Impact factor: 4.035
Authors: Margarita Alegría; Julia Y Lin; Jennifer Greif Green; Nancy A Sampson; Michael J Gruber; Ronald C Kessler Journal: J Am Acad Child Adolesc Psychiatry Date: 2012-06-01 Impact factor: 8.829
Authors: R C Kessler; S Avenevoli; K A McLaughlin; J Greif Green; M D Lakoma; M Petukhova; D S Pine; N A Sampson; A M Zaslavsky; K Ries Merikangas Journal: Psychol Med Date: 2012-01-25 Impact factor: 7.723
Authors: R Eric Lewandowski; Mary C Acri; Kimberly E Hoagwood; Mark Olfson; Greg Clarke; William Gardner; Sarah Hudson Scholle; Sepheen Byron; Kelly Kelleher; Harold A Pincus; Samantha Frank; Sarah M Horwitz Journal: Pediatrics Date: 2013-09-16 Impact factor: 7.124