Behavioural Addictions in Adolescents and Young Adults: Results from a Prevalence Study

Institute of Psychiatry and Psychology, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, Rome, Italy.
Journal of Gambling Behavior (Impact Factor: 1.28). 06/2011; 27(2):203-14. DOI: 10.1007/s10899-010-9206-0
Source: PubMed


Our study aims to assess the prevalence of behavioural addictions in an adolescent population, evaluating the effects of gender and age, and to assess the correlations among different behavioural addictions. 2853 high school students were assessed in order to evaluate the prevalence of behavioural addictions such as Pathological Gambling (PG), Compulsive Buying (CB), Exercise Addiction (EA), Internet Addiction (IA), and Work Addiction (WA), in a population of Italian adolescents. The South Oaks Gambling Screen-Revised Adolescent (SOGS-RA), the Compulsive Buying Scale (CBS), the Exercise Addiction Inventory (EAI), the Internet Addiction Test (IAT), and the Work Addiction Risk Test (WART), were compiled anonymously by the students. Overall prevalence was 7.0% for PG, 11.3% for CB, 1.2% for IA, 7.6% for WA, 8.5% for EA. PG and EA were more common among boys, while gender had no effect on the other conditions. CB was more common among younger (<18 years old) students. The scores of all of these scales were significantly correlated. The strong correlation among different addictive behaviours is in line with the hypothesis of a common psychopathological dimension underlying these phenomena. Further studies are needed to assess personality traits and other clinical disorders associated with these problems behaviours.

Download full-text


Available from: Giovanni Martinotti, Jan 08, 2014
  • Source
    • "(aged 15-54) to 8% (aged 14-40). Research generally indicates that CIU is more prevalent among males than females in both Eastern (Bener & Bhugra, 2013; Cao & Su, 2007; Ha et al., 2007; Lam, Peng, Mai, & Jing, 2009b) and Western countries (Johansson & Götestam, 2004; Morrison & Gore, 2010; Siomos, Dafouli, Braimioties, Mouzas, & Angelopoulos, 2008; Villella et al., 2011). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Is compulsive Internet use (CIU) an antecedent to poor mental health, a consequence, or both? Study 1 used a longitudinal design to track the development of CIU and mental health in Grade 8 (N = 1030 males, 1038 females, Mage = 13.7), 9, 10, and 11. Study 2 extended Study 1 by examining the kinds of Internet behaviors most strongly associated with CIU within males and females. Structural equation modeling revealed that CIU predicted the development of poor mental health, whereas poor mental health did not predict CIU development. Latent growth analyses showed that both females and males increased in CIU and mental health problems across the high school years. Females had higher CIU and worse mental health than males, and tended to engage in more social forms of Internet use. We discuss future directions for CIU intervention research. (PsycINFO Database Record
    Full-text · Article · Nov 2015 · Developmental Psychology
  • Source
    • "Over the last two decades the incidence of gambling has increased dramatically, partly because of increased accessibility (Derevensky 2009; Volberg 2001), with an estimated 1–3 % of general population developing pathological gambling (Beconia 1996; Ladouceur et al. 2005; Shaffer et al. 1999). In Italy, pathological and problem gambling are rapidly growing phenomena in both adult and adolescent populations (Bastiani et al. 2013; Donati et al. 2013; Villella et al. 2011). Moreover they correlate with major addictive behaviours that has also been increasing in the Italian population—e.g. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The aim of this study was to explore the relations between gambling, brain emotion systems, personality, self/other perception, and hopelessness in an Italian community. Dimensions of gambling, positive and negative emotions, self/other perception, personality and hopelessness were assessed in a community sample of 235 adults aged 19-59 years. Two structural models were tested. We found a significant correlation between problem gambling and impulsivity, which in association with aggressivity and negative personality dimensions may help explain the psychopathology factor, i.e. a latent variable involving neurotic personality, hopelessness, high sensation seeking, low metacognitive responsiveness, and disorganized patterns of interpersonal relationships. These results contribute to develop a theoretical framework of gambling in relation with personality factors and provide a new approach for clinical intervention of problem gambling that relies on a solid multidimensional perspective.
    Full-text · Article · Apr 2015 · Journal of Gambling Studies
  • Source
    • ") assesses CBB as an impulse control problem as well as an obsessive–compulsive disorder. The lifetime prevalence rates of compulsive buying in representative studies are estimated to be between 1% (former East Germany) and 11.3% (Brazil) (Faber and O'Guinn, 1992; Koran et al., 2006; Mueller et al., 2010a; Neuner et al., 2005; Villella et al., 2011). The reported prevalence rates show wide variation despite the fact that most of the above studies have used the same instrument for screening CBB (i.e., Compulsive Buying Scale (Faber and O'Guinn, 1989)). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Due to the problems of measurement and the lack of nationally representative data, the extent of compulsive buying behaviour (CBB) is relatively unknown. The validity of three different instruments was tested: Edwards Compulsive Buying Scale (ECBS; Edwards, E.A., 1993. Development of a new scale for measuring compulsive buying behaviour. Financial Counseling and Planning. 4, 67-85), Questionnaire About Buying Behavior (QABB; Lejoyeux, M., Ades, J., 1994. Les achats pathologiques: une addiction comportementale. Neuro-Psy. 9, 25-32.) and Richmond Compulsive Buying Scale (RCBS; Ridgway, N.M., Kukar-Kinney, M., Monroe, K.B., 2008. An expanded conceptualization and a new measure of compulsive buying. Journal of Consumer Research. 35, 622-639.) using two independent samples. One was nationally representative of the Hungarian population (N=2710) while the other comprised shopping mall customers (N=1447). As a result, a new, four-factor solution for the ECBS was developed (Edwards Compulsive Buying Scale Revised (ECBS-R)), and confirmed the other two measures. Additionally, cut-off scores were defined for all measures. Results showed that the prevalence of CBB is 1.85% (with QABB) in the general population but significantly higher in shopping mall customers (8.7% with ECBS-R, 13.3% with QABB and 2.5% with RCBS-R). Conclusively, due to the diversity of content, each measure identifies a somewhat different CBB group. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
    Full-text · Article · Dec 2014 · Psychiatry Research
Show more