Problematic internet and cell-phone use: Psychological, behavioral, and health correlates

By C. Jenaro, Noelia Flores, María Gómez-Vela, Francisca González-Gil, C. Caballo. 2007

533 citations recorded by the source corpus.

This study aimed to assess pathological Internet and cell-phone use in college students, and to identify psychological, health, and behavioral correlates. A cross-sectional design was utilized to gather data from 337 students. We developed two measures, termed the Internet Over-use Scale (IOS), and the Cell-Phone Over-Use Scale (COS). Additional measures utilized were the Beck Anxiety Inventory, the Beck Depression Inventory, and the General Health Questionnaire-28. Results provide support for internal consistency of the IOS and the COS (α = 0.88 and α = 0.87, respectively) as well as for construct validity. Logistic regression analyses indicated that heavy Internet use is associated with high anxiety; high cell-phone use is associated to being female, and having high anxiety and insomnia. The developed measures seem to be promising tools for assessing these new behavioral addictions.

Subfields: Communication, Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7edacdf26830a06ee0702a699da7af8583c53504

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Citations in the corpus

Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender (2015, background): “Women furthermore experience more social anxiety related to speaking in public, speaking to strangers, speaking in groups, and presenting themselves (Jenaro et al., 2007).”
The role of stress and motivation in problematic smartphone use among college students (2015, background): “Additionally, previous studies have suggested that gender (Jenaro et al., 2007; Martinotti et al., 2011; Takao, Takahashi, & Kitamura, 2009) and age (e.g., Walsh et al., 2011) may influence mobile phone usage.”
The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress (2014, background): “Compulsive usage of mobile phones Ehrenberg et al. (2008), Jenaro et al. (2007), Koo (2009), Meerkerk et al. (2009) 1.”
Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users (2014, background): “The consensus reiterated throughout previous research, however, is the need to develop an appropriate measure to assess behaviors that exist outside the traditional concept of addiction (Boca & Brown, 1996; Jenaro et al., 2007).”
Needing to connect: The effect of self and others on young people's involvement with their mobile phones (2010, background): “More recently, Jenaro et al. (2007) assessed the effect of depression, anxiety, and unhealthy behavioural patterns, such as not sleeping well, on cellphone (mobile) over use.”
Dial D for Distraction: The Making and Breaking of Cell Phone Policies in the College Classroom (2015, background): “Studies from a broad array of disciplines have examined the myriad ways that cell phones have transformed society, business, communication, health, and numerous other facets of daily life, including education (Campbell 2006; Gilroy 2004; Jenaro et al. 2007; Katz 2005; Wei and Leung 1999).”
Psychological Factors Associated With Smartphone Addiction in South Korean Adolescents (2018, background): “Also, its correlation with depression, anxiety, and sleep disturbance has been demonstrated (Jenaro et al., 2007).”
Prevalence of Problematic Mobile Phone Use in British Adolescents (2014, unknown): “30 Several studies have been conducted in countries such as Thailand, 31 China, 12,21 Korea, 19 Turkey, 10,17 Spain, 15,20,22,32 Italy, 33 and Australia.”
The measurement of Internet addiction: A critical review of existing scales and their psychometric properties (2014, unknown): “192 S.Laconi et al./Com puters in H um an Behavior 41 (2014) 190– 202 10 2 Shek et al., 2008 China .75 6121 ado 1.0 8 2 Dowling & Quirk, 2009 Australia .72 424 22.2 .4 8 2 Frangos et al., 2010 Greece .71 1876 19.5 .8 8 2 Osada, 2013 Japan .72 299 19.4 1.6 Internet Addiction Disorder – Diagnostic Cri”
Impact of mobile phone addiction on adolescent’s life: A literature review (2016, background): “(2007) [22] found that high cell-phone use is”