Clarifying Relations Between ADHD and Functional Impairment in Adulthood: Utilization of Network and Machine Learning Approaches
Using network analysis and random forest regression, this study identified attention-deficit/hyperactivity disorder (ADHD) symptoms most important for indicating impairment in various functional domains. Participants comprised a nationally representative sample of 1249 adults in the United States. B...
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Veröffentlicht in: | Assessment (Odessa, Fla.) Fla.), 2023-03, Vol.30 (2), p.316-331 |
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creator | Goh, Patrick K. Martel, Michelle M. Jones, Payton J. Bansal, Pevitr S. Eng, Ashley G. Elkins, Anjeli R. Thaxton, Melina H. Barkley, Russell A. |
description | Using network analysis and random forest regression, this study identified attention-deficit/hyperactivity disorder (ADHD) symptoms most important for indicating impairment in various functional domains. Participants comprised a nationally representative sample of 1249 adults in the United States. Bridge symptoms were identified as those demonstrating unique relations with impairment domains that, in total, were stronger than those involving other symptoms. Results suggested three inattentive (i.e., difficulty organizing; does not follow through; makes careless mistakes) and one hyperactive (difficulty engaging in leisure activities) bridge symptoms. Random forest regression results supported bridge symptoms as most important (compared to other symptoms) for predicting global and specific impairment domains. Hyperactive/impulsive symptoms appeared more strongly related to impairment in women, whereas difficulty organizing and easily distracted appeared more related to impairment in men. Clarification of bridge symptoms may help identify core characteristics of ADHD in adulthood and specify screening and intervention targets to reduce risk for related impairment. |
doi_str_mv | 10.1177/10731911211050921 |
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Participants comprised a nationally representative sample of 1249 adults in the United States. Bridge symptoms were identified as those demonstrating unique relations with impairment domains that, in total, were stronger than those involving other symptoms. Results suggested three inattentive (i.e., difficulty organizing; does not follow through; makes careless mistakes) and one hyperactive (difficulty engaging in leisure activities) bridge symptoms. Random forest regression results supported bridge symptoms as most important (compared to other symptoms) for predicting global and specific impairment domains. Hyperactive/impulsive symptoms appeared more strongly related to impairment in women, whereas difficulty organizing and easily distracted appeared more related to impairment in men. Clarification of bridge symptoms may help identify core characteristics of ADHD in adulthood and specify screening and intervention targets to reduce risk for related impairment.</description><identifier>ISSN: 1073-1911</identifier><identifier>EISSN: 1552-3489</identifier><identifier>DOI: 10.1177/10731911211050921</identifier><identifier>PMID: 34654318</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adult ; Attention Deficit Disorder with Hyperactivity - diagnosis ; Cognition ; Female ; Humans ; Impulsive Behavior ; Male</subject><ispartof>Assessment (Odessa, Fla.), 2023-03, Vol.30 (2), p.316-331</ispartof><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-255b815cfa0b8343dbc1960445369d7bea0820d04d58fdcf01c1b5b5d1f506ae3</citedby><cites>FETCH-LOGICAL-c340t-255b815cfa0b8343dbc1960445369d7bea0820d04d58fdcf01c1b5b5d1f506ae3</cites><orcidid>0000-0002-5454-4885 ; 0000-0001-7340-4215</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/10731911211050921$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/10731911211050921$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21818,27923,27924,43620,43621</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34654318$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goh, Patrick K.</creatorcontrib><creatorcontrib>Martel, Michelle M.</creatorcontrib><creatorcontrib>Jones, Payton J.</creatorcontrib><creatorcontrib>Bansal, Pevitr S.</creatorcontrib><creatorcontrib>Eng, Ashley G.</creatorcontrib><creatorcontrib>Elkins, Anjeli R.</creatorcontrib><creatorcontrib>Thaxton, Melina H.</creatorcontrib><creatorcontrib>Barkley, Russell A.</creatorcontrib><title>Clarifying Relations Between ADHD and Functional Impairment in Adulthood: Utilization of Network and Machine Learning Approaches</title><title>Assessment (Odessa, Fla.)</title><addtitle>Assessment</addtitle><description>Using network analysis and random forest regression, this study identified attention-deficit/hyperactivity disorder (ADHD) symptoms most important for indicating impairment in various functional domains. Participants comprised a nationally representative sample of 1249 adults in the United States. Bridge symptoms were identified as those demonstrating unique relations with impairment domains that, in total, were stronger than those involving other symptoms. Results suggested three inattentive (i.e., difficulty organizing; does not follow through; makes careless mistakes) and one hyperactive (difficulty engaging in leisure activities) bridge symptoms. Random forest regression results supported bridge symptoms as most important (compared to other symptoms) for predicting global and specific impairment domains. Hyperactive/impulsive symptoms appeared more strongly related to impairment in women, whereas difficulty organizing and easily distracted appeared more related to impairment in men. Clarification of bridge symptoms may help identify core characteristics of ADHD in adulthood and specify screening and intervention targets to reduce risk for related impairment.</description><subject>Adult</subject><subject>Attention Deficit Disorder with Hyperactivity - diagnosis</subject><subject>Cognition</subject><subject>Female</subject><subject>Humans</subject><subject>Impulsive Behavior</subject><subject>Male</subject><issn>1073-1911</issn><issn>1552-3489</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtO5DAQRS0E4jV8wGxGXs4m4IrjtDO7ppuX1IA0gnXk2BUwk9iNnQjBik_HTQObkVi55Dr3lHQJ-QnsEGAyOQI24VAB5ABMsCqHDbILQuQZL2S1mea0z1bADtmL8YExEGUlt8kOL0pRcJC75HXWqWDbZ-vu6F_s1GC9i_QYhydER6fz8zlVztDT0enVSnX0ol8qG3p0A7WJMGM33Htv_tDbwXb25d1AfUuvksOHf-_xS6XvrUO6QBXc6tR0uQw-fWL8QbZa1UU8-Hj3ye3pyc3sPFtcn13MpotM84INWS5EI0HoVrFG8oKbRkNVsqIQvKzMpEHFZM4MK4yQrdEtAw2NaISBVrBSId8nv9fedPhxxDjUvY0au0459GOscyFzCZyXZUJhjergYwzY1stgexWea2D1qvj6v-JT5teHfmx6NF-Jz6YTcLgGorrD-sGPIZUZvzG-Aah-i58</recordid><startdate>202303</startdate><enddate>202303</enddate><creator>Goh, Patrick K.</creator><creator>Martel, Michelle M.</creator><creator>Jones, Payton J.</creator><creator>Bansal, Pevitr S.</creator><creator>Eng, Ashley G.</creator><creator>Elkins, Anjeli R.</creator><creator>Thaxton, Melina H.</creator><creator>Barkley, Russell A.</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5454-4885</orcidid><orcidid>https://orcid.org/0000-0001-7340-4215</orcidid></search><sort><creationdate>202303</creationdate><title>Clarifying Relations Between ADHD and Functional Impairment in Adulthood: Utilization of Network and Machine Learning Approaches</title><author>Goh, Patrick K. ; Martel, Michelle M. ; Jones, Payton J. ; Bansal, Pevitr S. ; Eng, Ashley G. ; Elkins, Anjeli R. ; Thaxton, Melina H. ; Barkley, Russell A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-255b815cfa0b8343dbc1960445369d7bea0820d04d58fdcf01c1b5b5d1f506ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Attention Deficit Disorder with Hyperactivity - diagnosis</topic><topic>Cognition</topic><topic>Female</topic><topic>Humans</topic><topic>Impulsive Behavior</topic><topic>Male</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goh, Patrick K.</creatorcontrib><creatorcontrib>Martel, Michelle M.</creatorcontrib><creatorcontrib>Jones, Payton J.</creatorcontrib><creatorcontrib>Bansal, Pevitr S.</creatorcontrib><creatorcontrib>Eng, Ashley G.</creatorcontrib><creatorcontrib>Elkins, Anjeli R.</creatorcontrib><creatorcontrib>Thaxton, Melina H.</creatorcontrib><creatorcontrib>Barkley, Russell A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Assessment (Odessa, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goh, Patrick K.</au><au>Martel, Michelle M.</au><au>Jones, Payton J.</au><au>Bansal, Pevitr S.</au><au>Eng, Ashley G.</au><au>Elkins, Anjeli R.</au><au>Thaxton, Melina H.</au><au>Barkley, Russell A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clarifying Relations Between ADHD and Functional Impairment in Adulthood: Utilization of Network and Machine Learning Approaches</atitle><jtitle>Assessment (Odessa, Fla.)</jtitle><addtitle>Assessment</addtitle><date>2023-03</date><risdate>2023</risdate><volume>30</volume><issue>2</issue><spage>316</spage><epage>331</epage><pages>316-331</pages><issn>1073-1911</issn><eissn>1552-3489</eissn><abstract>Using network analysis and random forest regression, this study identified attention-deficit/hyperactivity disorder (ADHD) symptoms most important for indicating impairment in various functional domains. Participants comprised a nationally representative sample of 1249 adults in the United States. Bridge symptoms were identified as those demonstrating unique relations with impairment domains that, in total, were stronger than those involving other symptoms. Results suggested three inattentive (i.e., difficulty organizing; does not follow through; makes careless mistakes) and one hyperactive (difficulty engaging in leisure activities) bridge symptoms. Random forest regression results supported bridge symptoms as most important (compared to other symptoms) for predicting global and specific impairment domains. Hyperactive/impulsive symptoms appeared more strongly related to impairment in women, whereas difficulty organizing and easily distracted appeared more related to impairment in men. 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subjects | Adult Attention Deficit Disorder with Hyperactivity - diagnosis Cognition Female Humans Impulsive Behavior Male |
title | Clarifying Relations Between ADHD and Functional Impairment in Adulthood: Utilization of Network and Machine Learning Approaches |
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