{"id":{"repo_id":"loma-linda","oai_identifier":"oai:scholarsrepository.llu.edu:etd-1442"},"canonical_url":"https://search.dev.ndltd.org/etd/loma-linda/oai:scholarsrepository.llu.edu:etd-1442","repository":{"repo_id":"loma-linda","name":"Loma Linda University","base_url":"https://scholarsrepository.llu.edu/do/oai/"},"display":{"title":"Smoking, ADHD, and Problematic Video Game Use: A Structural Modeling Approach","abstract":"<p>Problematic video game use (PVGU), or addiction-like use of video games, is associated with negative physical and mental health problems as well as problems in social and occupational functioning. Possible contributors to PVGU include frequency of play, cigarette smoking, and ADHD. The aim of the current study was to explore the relationships among PVGU, cigarette smoking, ADHD, and frequency of play simultaneously using a structural modeling approach. Secondary data analysis was conducted on 2,801 video game users (Mage = 22.43 years, SDage = 4.7; 93% male) who completed an online survey comprising measures of PVGU, ADHD symptomatology, smoking behavior, and hours of video game use. The full model fit the data well: χ2 (2) = 2.017, p > .05; RMSEA = 0.002 (90% CI [.000, .038]); CFI = 1.000; SRMR = .004. Absolute values of all standardized residuals were less than 0.1. All freely estimated paths were statistically significant. ADHD symptomatology, smoking behavior, and hours of video game use explained 41.8% of variance in PVGU. ADHD symptomatology, cigarette use, and video game use may all contribute to PVGU, which is consistent with past studies that examined these variables independently. Tracking these variables may be useful for PVGU prevention and assessment. The measurement model fit well, suggesting that Young’s Internet Addiction Scale, adapted for video game use, and Problem Videogame Playing Scale measure the same construct. Findings using either measures may be compared to each other, and both measures may be used as a screener of PVGU. The field of video game research may benefit from studying additional variables that help explain PVGU, specific treatment protocols for PVGU, and the effect of ADHD or smoking treatment on PVGU.</p>","abstract_html":"&lt;p&gt;Problematic video game use (PVGU), or addiction-like use of video games, is associated with negative physical and mental health problems as well as problems in social and occupational functioning. Possible contributors to PVGU include frequency of play, cigarette smoking, and ADHD. The aim of the current study was to explore the relationships among PVGU, cigarette smoking, ADHD, and frequency of play simultaneously using a structural modeling approach. Secondary data analysis was conducted on 2,801 video game users (Mage = 22.43 years, SDage = 4.7; 93% male) who completed an online survey comprising measures of PVGU, ADHD symptomatology, smoking behavior, and hours of video game use. The full model fit the data well: χ2 (2) = 2.017, p &gt; .05; RMSEA = 0.002 (90% CI [.000, .038]); CFI = 1.000; SRMR = .004. Absolute values of all standardized residuals were less than 0.1. All freely estimated paths were statistically significant. ADHD symptomatology, smoking behavior, and hours of video game use explained 41.8% of variance in PVGU. ADHD symptomatology, cigarette use, and video game use may all contribute to PVGU, which is consistent with past studies that examined these variables independently. Tracking these variables may be useful for PVGU prevention and assessment. The measurement model fit well, suggesting that Young’s Internet Addiction Scale, adapted for video game use, and Problem Videogame Playing Scale measure the same construct. Findings using either measures may be compared to each other, and both measures may be used as a screener of PVGU. The field of video game research may benefit from studying additional variables that help explain PVGU, specific treatment protocols for PVGU, and the effect of ADHD or smoking treatment on PVGU.&lt;/p&gt;","abstract_has_math":false,"creators":["Lee, Hyo Jin"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Morrell, Holly E. R.","Brenner, Colleen A.","Herbozo, Sylvia M."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-09-01T07:00:00Z","date_published":"2017-09-01T07:00:00Z","updated_at":"2026-07-24T02:52:45Z","subjects":["Clinical Psychology","Psychology","Social and Behavioral Sciences","Video Games; Smoking; Tobacco Use; Attention-deficit Hyperactivity Disorder;","Problematic Video Game Use; Structural Modeling; Addiction"],"languages":["English"],"rights":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarsrepository.llu.edu/etd/441","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Morrell, Holly E. 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The author retains all other copyrights."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarsrepository.llu.edu/etd/441"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Problematic video game use (PVGU), or addiction-like use of video games, is associated with negative physical and mental health problems as well as problems in social and occupational functioning. Possible contributors to PVGU include frequency of play, cigarette smoking, and ADHD. The aim of the current study was to explore the relationships among PVGU, cigarette smoking, ADHD, and frequency of play simultaneously using a structural modeling approach. Secondary data analysis was conducted on 2,801 video game users (Mage = 22.43 years, SDage = 4.7; 93% male) who completed an online survey comprising measures of PVGU, ADHD symptomatology, smoking behavior, and hours of video game use. The full model fit the data well: χ2 (2) = 2.017, p > .05; RMSEA = 0.002 (90% CI [.000, .038]); CFI = 1.000; SRMR = .004. Absolute values of all standardized residuals were less than 0.1. All freely estimated paths were statistically significant. ADHD symptomatology, smoking behavior, and hours of video game use explained 41.8% of variance in PVGU. ADHD symptomatology, cigarette use, and video game use may all contribute to PVGU, which is consistent with past studies that examined these variables independently. Tracking these variables may be useful for PVGU prevention and assessment. The measurement model fit well, suggesting that Young’s Internet Addiction Scale, adapted for video game use, and Problem Videogame Playing Scale measure the same construct. Findings using either measures may be compared to each other, and both measures may be used as a screener of PVGU. The field of video game research may benefit from studying additional variables that help explain PVGU, specific treatment protocols for PVGU, and the effect of ADHD or smoking treatment on PVGU.</p>"]},{"key":"dc:title","label":"Title","values":["Smoking, ADHD, and Problematic Video Game Use: A Structural Modeling Approach"]}]}],"canonical_facts":{"dc:contributor":["Morrell, Holly E. R.","Brenner, Colleen A.","Herbozo, Sylvia M."],"dc:creator":["Lee, Hyo Jin"],"dc:description.abstract":["<p>Problematic video game use (PVGU), or addiction-like use of video games, is associated with negative physical and mental health problems as well as problems in social and occupational functioning. Possible contributors to PVGU include frequency of play, cigarette smoking, and ADHD. The aim of the current study was to explore the relationships among PVGU, cigarette smoking, ADHD, and frequency of play simultaneously using a structural modeling approach. Secondary data analysis was conducted on 2,801 video game users (Mage = 22.43 years, SDage = 4.7; 93% male) who completed an online survey comprising measures of PVGU, ADHD symptomatology, smoking behavior, and hours of video game use. The full model fit the data well: χ2 (2) = 2.017, p > .05; RMSEA = 0.002 (90% CI [.000, .038]); CFI = 1.000; SRMR = .004. Absolute values of all standardized residuals were less than 0.1. All freely estimated paths were statistically significant. ADHD symptomatology, smoking behavior, and hours of video game use explained 41.8% of variance in PVGU. ADHD symptomatology, cigarette use, and video game use may all contribute to PVGU, which is consistent with past studies that examined these variables independently. Tracking these variables may be useful for PVGU prevention and assessment. The measurement model fit well, suggesting that Young’s Internet Addiction Scale, adapted for video game use, and Problem Videogame Playing Scale measure the same construct. Findings using either measures may be compared to each other, and both measures may be used as a screener of PVGU. The field of video game research may benefit from studying additional variables that help explain PVGU, specific treatment protocols for PVGU, and the effect of ADHD or smoking treatment on PVGU.</p>"],"dc:identifier":["https://scholarsrepository.llu.edu/etd/441"],"dc:language":["English"],"dc:rights":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights."],"dc:subject":["Clinical Psychology","Psychology","Social and Behavioral Sciences","Video Games; Smoking; Tobacco Use; Attention-deficit Hyperactivity Disorder;","Problematic Video Game Use; Structural Modeling; Addiction"],"dc:title":["Smoking, ADHD, and Problematic Video Game Use: A Structural Modeling Approach"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T02:52:45Z"}