Literature DB >> 21536002

Problematic Internet use and health in adolescents: data from a high school survey in Connecticut.

Timothy C Liu1, Rani A Desai, Suchitra Krishnan-Sarin, Dana A Cavallo, Marc N Potenza.   

Abstract

OBJECTIVE: This study aims to explore the prevalence and health correlates of problematic Internet use among high school students in the United States.
METHOD: A cross-sectional survey with a sample size of 3,560 students was conducted among high schools in Connecticut. Demographic data, characteristics of Internet use, health measures, and risk behaviors were assessed. Chi-square and logistic regression analyses were used to study the relationship between problematic Internet use and risk behaviors as well as related gender differences.
RESULTS: When problematic Internet use was diagnosed with criteria modeled after the Minnesota Impulsive Disorder Inventory that address core features of impulse-control disorder (strong urge, growing tension, and attempts to cut back), the overall prevalence was about 4%, with no significant difference between genders. Problematic Internet use was more common among Asian (7.86%) and Hispanic (6.07%) students. Even though boys spent significantly more time on the Internet (16.52% of boys spent over 20 hours per week vs 12.62% of girls; P = .0001) and more frequently missed important school or social activities as a result (8.97% of boys vs 5.85% of girls; P = .0004), girls more frequently self-reported measures of excessive use of the Internet (11.81% of girls thought that they had a problem vs 8.90% of boys; P = .0048). After adjustment of sociodemographic factors, problematic Internet use was found to associate significantly with substance use (P = .0014), depression (P < .0001), and aggression (P < .0001), with largely similar patterns of associations between genders.
CONCLUSIONS: Problematic Internet use may be present in about 4% of high school students in the United States. It may be associated with depression, substance use, and aggressive behaviors. High school boys, though, may have heavier Internet use and may be less self-aware of the related problems. © Copyright 2011 Physicians Postgraduate Press, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 21536002      PMCID: PMC3686276          DOI: 10.4088/JCP.10m06057

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  41 in total

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Review 2.  Problematic Internet use: clinical implications.

Authors:  Timothy Liu; Marc N Potenza
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3.  Predictors of problematic Internet use on Turkish university students.

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4.  Sociopsychiatric characteristics of adolescents who use computers to excess.

Authors:  C K Yang
Journal:  Acta Psychiatr Scand       Date:  2001-09       Impact factor: 6.392

5.  Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong.

Authors:  King-wa Fu; Wincy S C Chan; Paul W C Wong; Paul S F Yip
Journal:  Br J Psychiatry       Date:  2010-06       Impact factor: 9.319

6.  The intricate link between violence and mental disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Eric B Elbogen; Sally C Johnson
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7.  Behavioral risks during the transition from high school to college.

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8.  Relationship between screen time and metabolic syndrome in adolescents.

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9.  Depression like characteristics of 5HTTLPR polymorphism and temperament in excessive internet users.

Authors:  Young Sik Lee; Doug Hyun Han; Kevin C Yang; Melissa A Daniels; Chul Na; Baik Seok Kee; Perry F Renshaw
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10.  Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood.

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  48 in total

1.  Video-gaming among high school students: health correlates, gender differences, and problematic gaming.

Authors:  Rani A Desai; Suchitra Krishnan-Sarin; Dana Cavallo; Marc N Potenza
Journal:  Pediatrics       Date:  2010-11-15       Impact factor: 7.124

2.  Development and Testing of a 3-Item Screening Tool for Problematic Internet Use.

Authors:  Megan A Moreno; Alina Arseniev-Koehler; Ellen Selkie
Journal:  J Pediatr       Date:  2016-07-06       Impact factor: 4.406

Review 3.  A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications.

Authors:  Guangheng Dong; Marc N Potenza
Journal:  J Psychiatr Res       Date:  2014-07-17       Impact factor: 4.791

4.  Gambling involvement and problem gambling correlates among European adolescents: results from the European Network for Addictive Behavior study.

Authors:  Elisabeth K Andrie; Chara K Tzavara; Eleni Tzavela; Clive Richardson; Donald Greydanus; Maria Tsolia; Artemis K Tsitsika
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2019-05-06       Impact factor: 4.328

5.  Problematic Internet use, well-being, self-esteem and self-control: Data from a high-school survey in China.

Authors:  Songli Mei; Yvonne H C Yau; Jingxin Chai; Jinhua Guo; Marc N Potenza
Journal:  Addict Behav       Date:  2016-05-12       Impact factor: 3.913

6.  Non-substance addictive behaviors in the context of DSM-5.

Authors:  Marc N Potenza
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Review 7.  Neurobiology of adolescent substance use and addictive behaviors: treatment implications.

Authors:  Christopher J Hammond; Linda C Mayes; Marc N Potenza
Journal:  Adolesc Med State Art Rev       Date:  2014-04

8.  Adolescent alcohol-drinking frequency and problem-gambling severity: adolescent perceptions regarding problem-gambling prevention and parental/adult behaviors and attitudes.

Authors:  Ardeshir S Rahman; Iris M Balodis; Corey E Pilver; Robert F Leeman; Rani A Hoff; Marvin A Steinberg; Loreen Rugle; Suchitra Krishnan-Sarin; Marc N Potenza
Journal:  Subst Abus       Date:  2014       Impact factor: 3.716

9.  Are Internet use and video-game-playing addictive behaviors? Biological, clinical and public health implications for youths and adults.

Authors:  Yvonne H C Yau; Michael J Crowley; Linda C Mayes; Marc N Potenza
Journal:  Minerva Psichiatr       Date:  2012-09-01

10.  Problematic Internet Use, Mental Health and Impulse Control in an Online Survey of Adults.

Authors:  Yvonne H C Yau; Marc N Potenza; Marney A White
Journal:  J Behav Addict       Date:  2013       Impact factor: 6.756

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