A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: Disaggregation of Within-Person and Between-Person Effects
Based on 4 annual waves of data from a large sample of Chinese college students (N = 2,329, Mage = 18.40 years old, SD = .85; 63.10% females), this study examines the within-person and between-person effects in the association between problematic Internet use (PIU) and mental health issues. Results...
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Veröffentlicht in: | Developmental psychology 2020-05, Vol.56 (5), p.1009-1021 |
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creator | Zhou, Nan Cao, Hongjian Liu, Fenge Wu, Lulu Liang, Yue Xu, Jianjie Meng, Haoran Zang, Ning Hao, Ruining An, Ye Ma, Shanshan Fang, Xiaoyi Zhang, Jintao |
description | Based on 4 annual waves of data from a large sample of Chinese college students (N = 2,329, Mage = 18.40 years old, SD = .85; 63.10% females), this study examines the within-person and between-person effects in the association between problematic Internet use (PIU) and mental health issues. Results of analyses using the developmental equilibrium model (i.e., an autoregressive, cross-lagged panel model) demonstrate a reciprocal positive association between PIU and mental health issues consistently across waves. In contrast, results of analyses utilizing the random intercept, cross-lagged panel model (i.e., a model that can disaggregate within-person and between-person effects) indicate a unidirectional positive within-person effect from PIU to mental health issues (rather than the reverse) consistently over time, while controlling for the between-person effects that exist when comparing different individuals. Such findings highlight the importance of disaggregating within-person and between-person effects in understanding the nature of the temporal dynamics of the association between PIU and mental health. |
doi_str_mv | 10.1037/dev0000907 |
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Results of analyses using the developmental equilibrium model (i.e., an autoregressive, cross-lagged panel model) demonstrate a reciprocal positive association between PIU and mental health issues consistently across waves. In contrast, results of analyses utilizing the random intercept, cross-lagged panel model (i.e., a model that can disaggregate within-person and between-person effects) indicate a unidirectional positive within-person effect from PIU to mental health issues (rather than the reverse) consistently over time, while controlling for the between-person effects that exist when comparing different individuals. Such findings highlight the importance of disaggregating within-person and between-person effects in understanding the nature of the temporal dynamics of the association between PIU and mental health.</description><identifier>ISSN: 0012-1649</identifier><identifier>EISSN: 1939-0599</identifier><identifier>DOI: 10.1037/dev0000907</identifier><identifier>PMID: 32105117</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Addictive Behavior ; Behavior Problems ; College Freshmen ; College Students ; Developmental Stages ; Equilibrium ; Female ; Foreign Countries ; Human ; Incidence ; Internet ; Internet Addiction ; Male ; Mental Disorders ; Mental Health ; Predictor Variables</subject><ispartof>Developmental psychology, 2020-05, Vol.56 (5), p.1009-1021</ispartof><rights>2020 American Psychological Association</rights><rights>2020, American Psychological Association</rights><rights>Copyright American Psychological Association May 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a468t-4ae6993cc1b378f64cbf05134e11fef79c38ea50e3d44d932ccd60b632a7eca73</citedby><orcidid>0000-0002-2032-1368 ; 0000-0003-3826-9438</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,30976</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1249878$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32105117$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Dubow, Eric F</contributor><creatorcontrib>Zhou, Nan</creatorcontrib><creatorcontrib>Cao, Hongjian</creatorcontrib><creatorcontrib>Liu, Fenge</creatorcontrib><creatorcontrib>Wu, Lulu</creatorcontrib><creatorcontrib>Liang, Yue</creatorcontrib><creatorcontrib>Xu, Jianjie</creatorcontrib><creatorcontrib>Meng, Haoran</creatorcontrib><creatorcontrib>Zang, Ning</creatorcontrib><creatorcontrib>Hao, Ruining</creatorcontrib><creatorcontrib>An, Ye</creatorcontrib><creatorcontrib>Ma, Shanshan</creatorcontrib><creatorcontrib>Fang, Xiaoyi</creatorcontrib><creatorcontrib>Zhang, Jintao</creatorcontrib><title>A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: Disaggregation of Within-Person and Between-Person Effects</title><title>Developmental psychology</title><addtitle>Dev Psychol</addtitle><description>Based on 4 annual waves of data from a large sample of Chinese college students (N = 2,329, Mage = 18.40 years old, SD = .85; 63.10% females), this study examines the within-person and between-person effects in the association between problematic Internet use (PIU) and mental health issues. Results of analyses using the developmental equilibrium model (i.e., an autoregressive, cross-lagged panel model) demonstrate a reciprocal positive association between PIU and mental health issues consistently across waves. In contrast, results of analyses utilizing the random intercept, cross-lagged panel model (i.e., a model that can disaggregate within-person and between-person effects) indicate a unidirectional positive within-person effect from PIU to mental health issues (rather than the reverse) consistently over time, while controlling for the between-person effects that exist when comparing different individuals. Such findings highlight the importance of disaggregating within-person and between-person effects in understanding the nature of the temporal dynamics of the association between PIU and mental health.</description><subject>Addictive Behavior</subject><subject>Behavior Problems</subject><subject>College Freshmen</subject><subject>College Students</subject><subject>Developmental Stages</subject><subject>Equilibrium</subject><subject>Female</subject><subject>Foreign Countries</subject><subject>Human</subject><subject>Incidence</subject><subject>Internet</subject><subject>Internet Addiction</subject><subject>Male</subject><subject>Mental Disorders</subject><subject>Mental Health</subject><subject>Predictor Variables</subject><issn>0012-1649</issn><issn>1939-0599</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kUFv1DAQhSMEokvhwh1kiQtCDdix48TclrClRYuoBFWPkeNM0lROvNhOUf8RP5OJtiwSB3yxPO_Tm_G8JHnO6FtGefGuhVuKR9HiQbJiiquU5ko9TFaUsixlUqij5EkIN_gUXOWPkyOeMZozVqySX2ty6mafXulbOCGVdyGkW9330JIvrgVLXEcuvGssjDoOhpxPEfwEkVwGIHpCCqaoLTkDbeM1WY9u6kl1PUyAeuWshR7Itzi3iIX35OMQ0NxDj2ZuWsyvhoh0egE-YGFx_ADxJ8ChtOk6MDE8TR512gZ4dn8fJ5enm-_VWbr9-um8Wm9TLWQZU6FBKsWNYQ0vyk4K03T4VS6AsQ66Qhlegs4p8FaIVvHMmFbSRvJMF2B0wY-T13vfnXc_ZgixHodgwFo9gZtDnXEp5bLGBX31D3qDq5xwOqRKVWSSIvlfSuZ5Vop8od7sKbNE4KGrd34Ytb-rGa2XlOu_KSP88t5ybkZoD-ifWBF4sQfAD-Ygbz6zTKiyKFE_2et6p-tduDPaY7gWgpm9x6SWZnUu6xxbU8V_A1Jsu3M</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Zhou, Nan</creator><creator>Cao, Hongjian</creator><creator>Liu, Fenge</creator><creator>Wu, Lulu</creator><creator>Liang, Yue</creator><creator>Xu, Jianjie</creator><creator>Meng, Haoran</creator><creator>Zang, Ning</creator><creator>Hao, Ruining</creator><creator>An, Ye</creator><creator>Ma, Shanshan</creator><creator>Fang, Xiaoyi</creator><creator>Zhang, Jintao</creator><general>American Psychological Association</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>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7RZ</scope><scope>PSYQQ</scope><scope>7QJ</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>K7.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2032-1368</orcidid><orcidid>https://orcid.org/0000-0003-3826-9438</orcidid></search><sort><creationdate>202005</creationdate><title>A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: Disaggregation of Within-Person and Between-Person Effects</title><author>Zhou, Nan ; Cao, Hongjian ; Liu, Fenge ; Wu, Lulu ; Liang, Yue ; Xu, Jianjie ; Meng, Haoran ; Zang, Ning ; Hao, Ruining ; An, Ye ; Ma, Shanshan ; Fang, Xiaoyi ; Zhang, Jintao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a468t-4ae6993cc1b378f64cbf05134e11fef79c38ea50e3d44d932ccd60b632a7eca73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Addictive Behavior</topic><topic>Behavior Problems</topic><topic>College Freshmen</topic><topic>College Students</topic><topic>Developmental Stages</topic><topic>Equilibrium</topic><topic>Female</topic><topic>Foreign Countries</topic><topic>Human</topic><topic>Incidence</topic><topic>Internet</topic><topic>Internet Addiction</topic><topic>Male</topic><topic>Mental Disorders</topic><topic>Mental Health</topic><topic>Predictor Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Nan</creatorcontrib><creatorcontrib>Cao, Hongjian</creatorcontrib><creatorcontrib>Liu, Fenge</creatorcontrib><creatorcontrib>Wu, Lulu</creatorcontrib><creatorcontrib>Liang, Yue</creatorcontrib><creatorcontrib>Xu, Jianjie</creatorcontrib><creatorcontrib>Meng, Haoran</creatorcontrib><creatorcontrib>Zang, Ning</creatorcontrib><creatorcontrib>Hao, Ruining</creatorcontrib><creatorcontrib>An, Ye</creatorcontrib><creatorcontrib>Ma, Shanshan</creatorcontrib><creatorcontrib>Fang, Xiaoyi</creatorcontrib><creatorcontrib>Zhang, Jintao</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>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Developmental psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Nan</au><au>Cao, Hongjian</au><au>Liu, Fenge</au><au>Wu, Lulu</au><au>Liang, Yue</au><au>Xu, Jianjie</au><au>Meng, Haoran</au><au>Zang, Ning</au><au>Hao, Ruining</au><au>An, Ye</au><au>Ma, Shanshan</au><au>Fang, Xiaoyi</au><au>Zhang, Jintao</au><au>Dubow, Eric F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1249878</ericid><atitle>A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: Disaggregation of Within-Person and Between-Person Effects</atitle><jtitle>Developmental psychology</jtitle><addtitle>Dev Psychol</addtitle><date>2020-05</date><risdate>2020</risdate><volume>56</volume><issue>5</issue><spage>1009</spage><epage>1021</epage><pages>1009-1021</pages><issn>0012-1649</issn><eissn>1939-0599</eissn><abstract>Based on 4 annual waves of data from a large sample of Chinese college students (N = 2,329, Mage = 18.40 years old, SD = .85; 63.10% females), this study examines the within-person and between-person effects in the association between problematic Internet use (PIU) and mental health issues. Results of analyses using the developmental equilibrium model (i.e., an autoregressive, cross-lagged panel model) demonstrate a reciprocal positive association between PIU and mental health issues consistently across waves. In contrast, results of analyses utilizing the random intercept, cross-lagged panel model (i.e., a model that can disaggregate within-person and between-person effects) indicate a unidirectional positive within-person effect from PIU to mental health issues (rather than the reverse) consistently over time, while controlling for the between-person effects that exist when comparing different individuals. Such findings highlight the importance of disaggregating within-person and between-person effects in understanding the nature of the temporal dynamics of the association between PIU and mental health.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>32105117</pmid><doi>10.1037/dev0000907</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-2032-1368</orcidid><orcidid>https://orcid.org/0000-0003-3826-9438</orcidid></addata></record> |
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subjects | Addictive Behavior Behavior Problems College Freshmen College Students Developmental Stages Equilibrium Female Foreign Countries Human Incidence Internet Internet Addiction Male Mental Disorders Mental Health Predictor Variables |
title | A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: Disaggregation of Within-Person and Between-Person Effects |
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