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在国民健康访谈调查中估算任何损害性儿童精神障碍的患病率。

Estimating the prevalence of any impairing childhood mental disorder in the national health interview survey.

作者信息

Ringeisen Heather, Aldworth Jeremy, Colpe Lisa J, Pringle Beverly, Simile Catherine

机构信息

RTI International, Research Triangle Park, NC, USA.

National Institute of Mental Health, Bethesda, MD, USA.

出版信息

Int J Methods Psychiatr Res. 2015 Dec;24(4):266-74. doi: 10.1002/mpr.1471. Epub 2015 Jul 23.

Abstract

This study investigates whether the six-item Strengths and Difficulties Questionnaire SDQ (five symptoms and one impact item) included in the National Health Interview Survey (NHIS) can be used to construct models that accurately estimate the prevalence of any impairing mental disorder among children 4-17 years old as measured by a shortened Child/Adolescent or Preschool Age Psychiatric Assessment (CAPA or PAPA). A subsample of 217 NHIS respondents completed a follow-up CAPA or PAPA interview. Logistic regression models were developed to model presence of any child mental disorder with impairment (MDI) or with severe impairment (MDSI). Models containing only the SDQ impact item exhibited highly biased prevalence estimates. The best-performing model included information from both the five symptom SDQ items and the impact item, where absolute bias was reduced and sensitivity and concordance were increased. This study illustrates the importance of using all available information from the six-item SDQ to accurately estimate the prevalence of any impairing childhood mental disorder from the NHIS. Copyright © 2015 John Wiley & Sons, Ltd.

摘要

本研究调查了美国国家健康访谈调查(NHIS)中包含的六项优势与困难问卷(SDQ,包括五个症状项目和一个影响项目)能否用于构建模型,以准确估计4至17岁儿童中任何损害性精神障碍的患病率,该患病率通过缩短版儿童/青少年或学龄前儿童精神科评估(CAPA或PAPA)来衡量。217名NHIS受访者的子样本完成了后续的CAPA或PAPA访谈。开发了逻辑回归模型,以对存在任何伴有损害(MDI)或严重损害(MDSI)的儿童精神障碍进行建模。仅包含SDQ影响项目的模型显示出高度有偏差的患病率估计。表现最佳的模型纳入了来自五个症状SDQ项目和影响项目的信息,其中绝对偏差降低,敏感性和一致性提高。本研究说明了利用六项SDQ中的所有可用信息来准确估计NHIS中任何损害性儿童精神障碍患病率的重要性。版权所有© 2015约翰·威利父子有限公司。

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