ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study

Symptoms of ADHD are strongly associated with alcohol use disorders, and mental health symptoms attenuate this relationship. There is limited knowledge about how specific symptoms of inattentiveness and hyperactivity/impulsivity can explain this association. We aimed to identify self-reported execut...

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Autores principales: Anders Dahlen Forsmo Lauvsnes, Mette Langaas, Alexander Olsen, Jasmin Vassileva, Olav Spigset, Rolf W. Gråwe
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:fb892e3c09bb401585ee84406cedc52f2021-11-11T16:42:27ZADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study10.3390/ijerph1821116011660-46011661-7827https://doaj.org/article/fb892e3c09bb401585ee84406cedc52f2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11601https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Symptoms of ADHD are strongly associated with alcohol use disorders, and mental health symptoms attenuate this relationship. There is limited knowledge about how specific symptoms of inattentiveness and hyperactivity/impulsivity can explain this association. We aimed to identify self-reported executive cognitive functioning and mental health and variables that may help identify subjects with an elevated risk of alcohol dependence in the general population. Data included 3917 subjects between 19 and 30 years old in the 4th Trøndelag Health Study. The Adult ADHD Self report Scale—Screener, the Hospital Anxiety and Depression Scale, and demographic variables were used as input variables. The alcohol screening instrument CAGE was used as the response variable for binary alcohol dependence risk. We used logistic regression and automated model selection to arrive at our final model that identified sex, age, inattentiveness, hyperactivity/impulsivity symptoms, and anxiety as predictors of having a CAGE score ≥2, achieving an area under the receiver operating characteristic curve of 0.692. A balanced accuracy approach indicated an optimal cut-off of 0.153 with sensitivity 0.55 and specificity 0.74. Despite attrition in the data, our findings may be important in the assessment of individual risk for alcohol dependency and when developing algorithms for risk triage in public health.Anders Dahlen Forsmo LauvsnesMette LangaasAlexander OlsenJasmin VassilevaOlav SpigsetRolf W. GråweMDPI AGarticlepublic healthalcoholADHDcognitive dysfunctionmental healthclassificationMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11601, p 11601 (2021)
institution DOAJ
collection DOAJ
language EN
topic public health
alcohol
ADHD
cognitive dysfunction
mental health
classification
Medicine
R
spellingShingle public health
alcohol
ADHD
cognitive dysfunction
mental health
classification
Medicine
R
Anders Dahlen Forsmo Lauvsnes
Mette Langaas
Alexander Olsen
Jasmin Vassileva
Olav Spigset
Rolf W. Gråwe
ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
description Symptoms of ADHD are strongly associated with alcohol use disorders, and mental health symptoms attenuate this relationship. There is limited knowledge about how specific symptoms of inattentiveness and hyperactivity/impulsivity can explain this association. We aimed to identify self-reported executive cognitive functioning and mental health and variables that may help identify subjects with an elevated risk of alcohol dependence in the general population. Data included 3917 subjects between 19 and 30 years old in the 4th Trøndelag Health Study. The Adult ADHD Self report Scale—Screener, the Hospital Anxiety and Depression Scale, and demographic variables were used as input variables. The alcohol screening instrument CAGE was used as the response variable for binary alcohol dependence risk. We used logistic regression and automated model selection to arrive at our final model that identified sex, age, inattentiveness, hyperactivity/impulsivity symptoms, and anxiety as predictors of having a CAGE score ≥2, achieving an area under the receiver operating characteristic curve of 0.692. A balanced accuracy approach indicated an optimal cut-off of 0.153 with sensitivity 0.55 and specificity 0.74. Despite attrition in the data, our findings may be important in the assessment of individual risk for alcohol dependency and when developing algorithms for risk triage in public health.
format article
author Anders Dahlen Forsmo Lauvsnes
Mette Langaas
Alexander Olsen
Jasmin Vassileva
Olav Spigset
Rolf W. Gråwe
author_facet Anders Dahlen Forsmo Lauvsnes
Mette Langaas
Alexander Olsen
Jasmin Vassileva
Olav Spigset
Rolf W. Gråwe
author_sort Anders Dahlen Forsmo Lauvsnes
title ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
title_short ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
title_full ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
title_fullStr ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
title_full_unstemmed ADHD and Mental Health Symptoms in the Identification of Young Adults with Increased Risk of Alcohol Dependency in the General Population—The HUNT4 Population Study
title_sort adhd and mental health symptoms in the identification of young adults with increased risk of alcohol dependency in the general population—the hunt4 population study
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/fb892e3c09bb401585ee84406cedc52f
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