Measuring Resilience in the Adolescent Population: A Succinct Tool for Outpatient Adolescent Health
To create a valid tool to measure adolescent resilience, and to determine if this tool correlates with current participation in risk behaviors and prior adverse childhood events. One hundred adolescents were recruited from primary care clinics in New Jersey for this cross-sectional study. A “7Cs too...
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| Veröffentlicht in: | The Journal of pediatrics 2017-10, Vol.189, p.201-206.e3 |
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| container_title | The Journal of pediatrics |
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| creator | Barger, Jordan Vitale, Patty Gaughan, John P. Feldman-Winter, Lori |
| description | To create a valid tool to measure adolescent resilience, and to determine if this tool correlates with current participation in risk behaviors and prior adverse childhood events.
One hundred adolescents were recruited from primary care clinics in New Jersey for this cross-sectional study. A “7Cs tool” was developed to measure resilience using the 7Cs model of resilience. All participants completed the 7Cs tool, the Adverse Childhood Events Survey, and the Health Survey for Adolescents to identify current risk behaviors. Demographic and background data were also collected. To assess the validity of the 7Cs tool, Cronbach alpha, principal factor analysis, Spearman coefficients, and sensitivity analyses were conducted. The χ2 test and ORs were used to determine if any relationships exist between resilience and prior adverse childhood events and risk taking behaviors.
Participants ranged from 13 to 21 years old (65% female). Internal consistency was established using Cronbach alpha (0.7). Lower resilience correlated with higher adverse childhood events (P = .008) and Health Survey for Adolescents scores (P |
| doi_str_mv | 10.1016/j.jpeds.2017.06.030 |
| format | Article |
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One hundred adolescents were recruited from primary care clinics in New Jersey for this cross-sectional study. A “7Cs tool” was developed to measure resilience using the 7Cs model of resilience. All participants completed the 7Cs tool, the Adverse Childhood Events Survey, and the Health Survey for Adolescents to identify current risk behaviors. Demographic and background data were also collected. To assess the validity of the 7Cs tool, Cronbach alpha, principal factor analysis, Spearman coefficients, and sensitivity analyses were conducted. The χ2 test and ORs were used to determine if any relationships exist between resilience and prior adverse childhood events and risk taking behaviors.
Participants ranged from 13 to 21 years old (65% female). Internal consistency was established using Cronbach alpha (0.7). Lower resilience correlated with higher adverse childhood events (P = .008) and Health Survey for Adolescents scores (P < .001). Lower resilience was associated with increased problems in school (OR 2.6; P = .021), drug use (OR 4.0; P = .004), violent behavior (OR 3.7; P = .002), recent depression (OR 5.0; P < .001), and suicidality (OR 4.1; P = .009). Higher resilience was associated with participation in exercise (P = .001) and activities (P = .01).
The 7Cs tool is an internally validated tool that may be used to screen adolescent resilience and guide pediatricians' counseling against risk behaviors. Further studies will evaluate resilience-building interventions based on results from this study.</description><identifier>ISSN: 0022-3476</identifier><identifier>EISSN: 1097-6833</identifier><identifier>DOI: 10.1016/j.jpeds.2017.06.030</identifier><identifier>PMID: 28705652</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adolescent Behavior - psychology ; Adolescent Health ; adolescent resilience ; adverse childhood event ; Cross-Sectional Studies ; Female ; Health Behavior ; Health Surveys ; Humans ; Male ; New Jersey ; Outpatients ; Reproducibility of Results ; Resilience, Psychological ; risk behaviors ; Risk-Taking ; Young Adult</subject><ispartof>The Journal of pediatrics, 2017-10, Vol.189, p.201-206.e3</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-e785da0c885bcf70b7cf8ce41b3b885c7e63b9c5b9dc12a828ea71aef002f7e93</citedby><cites>FETCH-LOGICAL-c359t-e785da0c885bcf70b7cf8ce41b3b885c7e63b9c5b9dc12a828ea71aef002f7e93</cites><orcidid>0000-0002-1049-6068</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022347617308132$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28705652$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barger, Jordan</creatorcontrib><creatorcontrib>Vitale, Patty</creatorcontrib><creatorcontrib>Gaughan, John P.</creatorcontrib><creatorcontrib>Feldman-Winter, Lori</creatorcontrib><title>Measuring Resilience in the Adolescent Population: A Succinct Tool for Outpatient Adolescent Health</title><title>The Journal of pediatrics</title><addtitle>J Pediatr</addtitle><description>To create a valid tool to measure adolescent resilience, and to determine if this tool correlates with current participation in risk behaviors and prior adverse childhood events.
One hundred adolescents were recruited from primary care clinics in New Jersey for this cross-sectional study. A “7Cs tool” was developed to measure resilience using the 7Cs model of resilience. All participants completed the 7Cs tool, the Adverse Childhood Events Survey, and the Health Survey for Adolescents to identify current risk behaviors. Demographic and background data were also collected. To assess the validity of the 7Cs tool, Cronbach alpha, principal factor analysis, Spearman coefficients, and sensitivity analyses were conducted. The χ2 test and ORs were used to determine if any relationships exist between resilience and prior adverse childhood events and risk taking behaviors.
Participants ranged from 13 to 21 years old (65% female). Internal consistency was established using Cronbach alpha (0.7). Lower resilience correlated with higher adverse childhood events (P = .008) and Health Survey for Adolescents scores (P < .001). Lower resilience was associated with increased problems in school (OR 2.6; P = .021), drug use (OR 4.0; P = .004), violent behavior (OR 3.7; P = .002), recent depression (OR 5.0; P < .001), and suicidality (OR 4.1; P = .009). Higher resilience was associated with participation in exercise (P = .001) and activities (P = .01).
The 7Cs tool is an internally validated tool that may be used to screen adolescent resilience and guide pediatricians' counseling against risk behaviors. Further studies will evaluate resilience-building interventions based on results from this study.</description><subject>Adolescent</subject><subject>Adolescent Behavior - psychology</subject><subject>Adolescent Health</subject><subject>adolescent resilience</subject><subject>adverse childhood event</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Male</subject><subject>New Jersey</subject><subject>Outpatients</subject><subject>Reproducibility of Results</subject><subject>Resilience, Psychological</subject><subject>risk behaviors</subject><subject>Risk-Taking</subject><subject>Young Adult</subject><issn>0022-3476</issn><issn>1097-6833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1v1DAQhq2qqF0Kv6AS8rGXhHG8iR0kDqsVUKSiIihny5lMWq-ycbCdSvx7vN2COHGyNH7e-XgYuxRQChDN2125m6mPZQVCldCUIOGErQS0qmi0lKdsBVBVhVyr5py9jHEHAO0a4IydV1pB3dTViuEXsnEJbrrn3yi60dGExN3E0wPxTe9HikhT4l_9vIw2OT-94xv-fUF0EyZ-5_3IBx_47ZLm_H1A_0ldkx3Twyv2YrBjpNfP7wX78fHD3fa6uLn99Hm7uSlQ1m0qSOm6t4Ba1x0OCjqFg0Zai052uYaKGtm1WHdtj6KyutJklbA05DMHRa28YFfHvnPwPxeKyexd3mMc7UR-iUa0WVWrGqUzKo8oBh9joMHMwe1t-GUEmINdszNPds3BroHGZLs59eZ5wNLtqf-b-aMzA--PAOUzHx0FE_HJaO8CYTK9d_8d8BubUo2n</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Barger, Jordan</creator><creator>Vitale, Patty</creator><creator>Gaughan, John P.</creator><creator>Feldman-Winter, Lori</creator><general>Elsevier Inc</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/0000-0002-1049-6068</orcidid></search><sort><creationdate>201710</creationdate><title>Measuring Resilience in the Adolescent Population: A Succinct Tool for Outpatient Adolescent Health</title><author>Barger, Jordan ; Vitale, Patty ; Gaughan, John P. ; Feldman-Winter, Lori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-e785da0c885bcf70b7cf8ce41b3b885c7e63b9c5b9dc12a828ea71aef002f7e93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adolescent Behavior - psychology</topic><topic>Adolescent Health</topic><topic>adolescent resilience</topic><topic>adverse childhood event</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Male</topic><topic>New Jersey</topic><topic>Outpatients</topic><topic>Reproducibility of Results</topic><topic>Resilience, Psychological</topic><topic>risk behaviors</topic><topic>Risk-Taking</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barger, Jordan</creatorcontrib><creatorcontrib>Vitale, Patty</creatorcontrib><creatorcontrib>Gaughan, John P.</creatorcontrib><creatorcontrib>Feldman-Winter, Lori</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>The Journal of pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barger, Jordan</au><au>Vitale, Patty</au><au>Gaughan, John P.</au><au>Feldman-Winter, Lori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring Resilience in the Adolescent Population: A Succinct Tool for Outpatient Adolescent Health</atitle><jtitle>The Journal of pediatrics</jtitle><addtitle>J Pediatr</addtitle><date>2017-10</date><risdate>2017</risdate><volume>189</volume><spage>201</spage><epage>206.e3</epage><pages>201-206.e3</pages><issn>0022-3476</issn><eissn>1097-6833</eissn><abstract>To create a valid tool to measure adolescent resilience, and to determine if this tool correlates with current participation in risk behaviors and prior adverse childhood events.
One hundred adolescents were recruited from primary care clinics in New Jersey for this cross-sectional study. A “7Cs tool” was developed to measure resilience using the 7Cs model of resilience. All participants completed the 7Cs tool, the Adverse Childhood Events Survey, and the Health Survey for Adolescents to identify current risk behaviors. Demographic and background data were also collected. To assess the validity of the 7Cs tool, Cronbach alpha, principal factor analysis, Spearman coefficients, and sensitivity analyses were conducted. The χ2 test and ORs were used to determine if any relationships exist between resilience and prior adverse childhood events and risk taking behaviors.
Participants ranged from 13 to 21 years old (65% female). Internal consistency was established using Cronbach alpha (0.7). Lower resilience correlated with higher adverse childhood events (P = .008) and Health Survey for Adolescents scores (P < .001). Lower resilience was associated with increased problems in school (OR 2.6; P = .021), drug use (OR 4.0; P = .004), violent behavior (OR 3.7; P = .002), recent depression (OR 5.0; P < .001), and suicidality (OR 4.1; P = .009). Higher resilience was associated with participation in exercise (P = .001) and activities (P = .01).
The 7Cs tool is an internally validated tool that may be used to screen adolescent resilience and guide pediatricians' counseling against risk behaviors. Further studies will evaluate resilience-building interventions based on results from this study.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28705652</pmid><doi>10.1016/j.jpeds.2017.06.030</doi><orcidid>https://orcid.org/0000-0002-1049-6068</orcidid></addata></record> |
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| subjects | Adolescent Adolescent Behavior - psychology Adolescent Health adolescent resilience adverse childhood event Cross-Sectional Studies Female Health Behavior Health Surveys Humans Male New Jersey Outpatients Reproducibility of Results Resilience, Psychological risk behaviors Risk-Taking Young Adult |
| title | Measuring Resilience in the Adolescent Population: A Succinct Tool for Outpatient Adolescent Health |
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