Unhealthy behavior clustering and mental health status in United States college students
Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering...
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| Veröffentlicht in: | Journal of American college health 2019-11, Vol.67 (8), p.790-800 |
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| container_title | Journal of American college health |
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| creator | Jao, Nancy C. Robinson, Laura D. Kelly, Peter J. Ciecierski, Christina C. Hitsman, Brian |
| description | Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health. |
| doi_str_mv | 10.1080/07448481.2018.1515744 |
| format | Article |
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Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.</description><identifier>ISSN: 0744-8481</identifier><identifier>EISSN: 1940-3208</identifier><identifier>DOI: 10.1080/07448481.2018.1515744</identifier><identifier>PMID: 30485154</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Adolescent ; Adult ; Alcohol ; Alcohol Abuse ; Alcohol use ; At Risk Students ; Behavior ; Chi-square test ; Cluster Analysis ; Clustering ; College Students ; Correlation ; Drinking ; Drinking behavior ; Eating Habits ; Exercise - psychology ; Female ; Food ; Fruit ; Health Behavior ; Health Conditions ; Health risk assessment ; Health Status ; Healthy food ; Humans ; Latent class analysis ; Male ; Marijuana ; Mental Disorders ; Mental Health ; Mental Health - statistics & numerical data ; Physical activity ; Physical Activity Level ; Psychological Patterns ; Psychological problems ; Risk behavior ; Risk-Taking ; Self Destructive Behavior ; Smoking ; Student Behavior ; Student Characteristics ; Students - psychology ; Students - statistics & numerical data ; Substance Abuse ; Substance-Related Disorders - epidemiology ; Symptoms (Individual Disorders) ; tobacco ; United States - epidemiology ; Universities - statistics & numerical data ; Young Adult</subject><ispartof>Journal of American college health, 2019-11, Vol.67 (8), p.790-800</ispartof><rights>2018 Taylor & Francis Group, LLC 2018</rights><rights>2018 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c584t-4e331cf5ee12a787e436911c3364b08f4317461aab7b5c009aaeb446ea2e58a33</citedby><cites>FETCH-LOGICAL-c584t-4e331cf5ee12a787e436911c3364b08f4317461aab7b5c009aaeb446ea2e58a33</cites><orcidid>0000-0002-3409-475X ; 0000-0003-2346-4521 ; 0000-0001-6773-1295</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27926,27927,31001</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1234552$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30485154$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jao, Nancy C.</creatorcontrib><creatorcontrib>Robinson, Laura D.</creatorcontrib><creatorcontrib>Kelly, Peter J.</creatorcontrib><creatorcontrib>Ciecierski, Christina C.</creatorcontrib><creatorcontrib>Hitsman, Brian</creatorcontrib><title>Unhealthy behavior clustering and mental health status in United States college students</title><title>Journal of American college health</title><addtitle>J Am Coll Health</addtitle><description>Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Alcohol</subject><subject>Alcohol Abuse</subject><subject>Alcohol use</subject><subject>At Risk Students</subject><subject>Behavior</subject><subject>Chi-square test</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>College Students</subject><subject>Correlation</subject><subject>Drinking</subject><subject>Drinking behavior</subject><subject>Eating Habits</subject><subject>Exercise - psychology</subject><subject>Female</subject><subject>Food</subject><subject>Fruit</subject><subject>Health Behavior</subject><subject>Health Conditions</subject><subject>Health risk assessment</subject><subject>Health Status</subject><subject>Healthy food</subject><subject>Humans</subject><subject>Latent class analysis</subject><subject>Male</subject><subject>Marijuana</subject><subject>Mental Disorders</subject><subject>Mental Health</subject><subject>Mental Health - statistics & numerical data</subject><subject>Physical activity</subject><subject>Physical Activity Level</subject><subject>Psychological Patterns</subject><subject>Psychological problems</subject><subject>Risk behavior</subject><subject>Risk-Taking</subject><subject>Self Destructive Behavior</subject><subject>Smoking</subject><subject>Student Behavior</subject><subject>Student Characteristics</subject><subject>Students - psychology</subject><subject>Students - statistics & numerical data</subject><subject>Substance Abuse</subject><subject>Substance-Related Disorders - epidemiology</subject><subject>Symptoms (Individual Disorders)</subject><subject>tobacco</subject><subject>United States - epidemiology</subject><subject>Universities - statistics & numerical data</subject><subject>Young Adult</subject><issn>0744-8481</issn><issn>1940-3208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp9kU9v1DAQxS0EokvhIxRF4sIlix3biXNBoKq0oEocYCVu1sSZ7Lry2sVOivbb4yjbFXDgNNK835s_eoRcMLpmVNF3tBFCCcXWFWVqzSSTufGErFgraMkrqp6S1cyUM3RGXqR0RylllWqfkzNOhcoOsSI_Nn6H4MbdoehwBw82xMK4KY0Yrd8W4Ptij34EVyxYkUYYp1RYX2y8HbEvvuUGpsIE53CLWZ_6bEgvybMBXMJXx3pONp-uvl_elLdfrz9ffrwtjVRiLAVyzswgEVkFjWpQ8LplzHBei46qQXDWiJoBdE0nDaUtAHZC1AgVSgWcn5P3y9z7qdtjb_LuCE7fR7uHeNABrP5b8Xant-FB15Ir0dI84O1xQAw_J0yj3ttk0DnwGKakK8bbfCqn8643_6B3YYo-v6crznIesmmbTMmFMjGkFHE4HcOonrPTj9npOTt9zC77Xv_5ycn1GFYGLhYgZ2NO8tUXVnEhZZX1D4tu_RDiHn6F6Ho9wsGFOETwxibN_3_Db_Eusvc</recordid><startdate>20191117</startdate><enddate>20191117</enddate><creator>Jao, Nancy C.</creator><creator>Robinson, Laura D.</creator><creator>Kelly, Peter J.</creator><creator>Ciecierski, Christina C.</creator><creator>Hitsman, Brian</creator><general>Taylor & Francis</general><general>Taylor & Francis Inc</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><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>7QJ</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3409-475X</orcidid><orcidid>https://orcid.org/0000-0003-2346-4521</orcidid><orcidid>https://orcid.org/0000-0001-6773-1295</orcidid></search><sort><creationdate>20191117</creationdate><title>Unhealthy behavior clustering and mental health status in United States college students</title><author>Jao, Nancy C. ; Robinson, Laura D. ; Kelly, Peter J. ; Ciecierski, Christina C. ; Hitsman, Brian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c584t-4e331cf5ee12a787e436911c3364b08f4317461aab7b5c009aaeb446ea2e58a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Alcohol</topic><topic>Alcohol Abuse</topic><topic>Alcohol use</topic><topic>At Risk Students</topic><topic>Behavior</topic><topic>Chi-square test</topic><topic>Cluster Analysis</topic><topic>Clustering</topic><topic>College Students</topic><topic>Correlation</topic><topic>Drinking</topic><topic>Drinking behavior</topic><topic>Eating Habits</topic><topic>Exercise - psychology</topic><topic>Female</topic><topic>Food</topic><topic>Fruit</topic><topic>Health Behavior</topic><topic>Health Conditions</topic><topic>Health risk assessment</topic><topic>Health Status</topic><topic>Healthy food</topic><topic>Humans</topic><topic>Latent class analysis</topic><topic>Male</topic><topic>Marijuana</topic><topic>Mental Disorders</topic><topic>Mental Health</topic><topic>Mental Health - statistics & numerical data</topic><topic>Physical activity</topic><topic>Physical Activity Level</topic><topic>Psychological Patterns</topic><topic>Psychological problems</topic><topic>Risk behavior</topic><topic>Risk-Taking</topic><topic>Self Destructive Behavior</topic><topic>Smoking</topic><topic>Student Behavior</topic><topic>Student Characteristics</topic><topic>Students - psychology</topic><topic>Students - statistics & numerical data</topic><topic>Substance Abuse</topic><topic>Substance-Related Disorders - epidemiology</topic><topic>Symptoms (Individual Disorders)</topic><topic>tobacco</topic><topic>United States - epidemiology</topic><topic>Universities - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jao, Nancy C.</creatorcontrib><creatorcontrib>Robinson, Laura D.</creatorcontrib><creatorcontrib>Kelly, Peter J.</creatorcontrib><creatorcontrib>Ciecierski, Christina C.</creatorcontrib><creatorcontrib>Hitsman, Brian</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of American college health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jao, Nancy C.</au><au>Robinson, Laura D.</au><au>Kelly, Peter J.</au><au>Ciecierski, Christina C.</au><au>Hitsman, Brian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1234552</ericid><atitle>Unhealthy behavior clustering and mental health status in United States college students</atitle><jtitle>Journal of American college health</jtitle><addtitle>J Am Coll Health</addtitle><date>2019-11-17</date><risdate>2019</risdate><volume>67</volume><issue>8</issue><spage>790</spage><epage>800</epage><pages>790-800</pages><issn>0744-8481</issn><eissn>1940-3208</eissn><abstract>Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>30485154</pmid><doi>10.1080/07448481.2018.1515744</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3409-475X</orcidid><orcidid>https://orcid.org/0000-0003-2346-4521</orcidid><orcidid>https://orcid.org/0000-0001-6773-1295</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Alcohol Alcohol Abuse Alcohol use At Risk Students Behavior Chi-square test Cluster Analysis Clustering College Students Correlation Drinking Drinking behavior Eating Habits Exercise - psychology Female Food Fruit Health Behavior Health Conditions Health risk assessment Health Status Healthy food Humans Latent class analysis Male Marijuana Mental Disorders Mental Health Mental Health - statistics & numerical data Physical activity Physical Activity Level Psychological Patterns Psychological problems Risk behavior Risk-Taking Self Destructive Behavior Smoking Student Behavior Student Characteristics Students - psychology Students - statistics & numerical data Substance Abuse Substance-Related Disorders - epidemiology Symptoms (Individual Disorders) tobacco United States - epidemiology Universities - statistics & numerical data Young Adult |
| title | Unhealthy behavior clustering and mental health status in United States college students |
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