The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the Assessment of Multiple Addictions in a High-School Population: Prevalence and Related Disability

Department of Psychiatry, Institute for Neuroscience, Florence University of Medicine, Florence, Italy.
CNS spectrums (Impact Factor: 2.71). 01/2007; 11(12):966-74. DOI: 10.1017/S1092852900015157
Source: PubMed


Taking into account the importance of act prevention on the development of addictions, we assessed the presence of multiple addictions in an adolescent high-school population, also assessing the prevalence of Internet abuse and the impact on disability.
Adolescence seems to be a critical period of addiction vulnerability, based on social but also neurobiological factors. The earlier onset of behavioral/substance dependence seems to predict greater addiction severity, morbidity, and multiple addictive disorders.
Data were collected from a sample of 275 students in Florence, Italy, high schools through surveys distributed in classes. The sample had an average age of 16.67+/-1.85 years (52.4% males, 47.6% females). To assess multiple addiction we used the 16 subscales of the Shorter PROMIS Questionnaire, to assess Internet addiction prevalence we used the Internet Addiction Scale, and to quantify disability symptoms, we used the Sheehan Disability Scale.
Caffeine abuse, sex, relationship submissive, gambling, food starving, and food bingeing have raised highest scores. 5.4% of the students were found to be Internet addicted similar to other countries. Disability seemed strongly correlated to the subscale of alcohol, gambling, sex, tobacco, food starving and food bingeing, shopping, exercise, and Internet addiction. Gambling, sex, caffeine abuse, compulsive help dominant, work, Internet addiction, relationship dominant, and relationship submissive in this sample were strongly related to substance dependence.
Level of concerns unexpected compared to the level reported in other countries for the behavioral compulsions, have been highlighted. Behavioral addictions are multiple, a source of disability, and they are related to substance abuse. It has yet to be clarified if they are a temporary phenomenon occurring in adolescents or if they are a stable trait, accounting as marker for the development of substance abuse.

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Available from: Stefano Pallanti, Nov 05, 2015
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    • "The distribution of respondents by their levels of Internet addiction is none 21.8%, mild 39.2%, moderate 34.9%, and severe 4.2% (see Table 1). The latter percentage is lower than that of adolescents in Florence, Italy in 2006, which was 5.4% (Pallanti et al., 2006), and in mainland China in 2011, which was 8.1% (Cao et al., 2011). However, it is higher than that of Changsha, China, in 2007, which was 2.4% (Cao & Su, 2007). "

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    • "Note: Values above the diagonal in the shaded cells correspond to males; those below the diagonal in the clear cells correspond to females; GPIU = Generalized Problematic Internet Use; SPIU = Specific Problematic Internet Use; All variables significant at p < .01 were reported. diagnosis criteria, similar psychopathology) and joins the ''multiple dependencies'' models (Pallanti et al., 2006; Shaffer et al., 2004). However, in our study, regression analyses highlighted a greater impact of certain SPIU on GPIU (i.e., SPIU com , SPIU gaming , SPIU info , SPIU video ) and a smaller of others (i.e., SPIU work , SPIU shopping , SPIU sex , SPIU gambling ), suggesting the important effect of some less evaluated problematic behaviors. "
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    ABSTRACT: Internet Addiction has been the subject of numerous studies, but definitions, classification and terminologies for this phenomenon diverge. Thus, it appears important to distinguish Generalized Problematic Internet Use (GPIU) and Specific Problematic Internet Uses (SPIU). Our main objective was to explore the relationships between GPIU, SPIU and psychopathological symptoms according to gender and age category. A sample of 378 participants aged between 18 and 65 years old (M = 24.4, SD = 8.3) completed a set of questionnaires measuring GPIU, SPIU related to communication, video and music, information seeking, work, sex, gaming, gambling, shopping, and time spent online, depressive symptoms, self-esteem and satisfaction with life. Correlations and regressions analysis revealed significant relationships between GPIU and our variables, except for SPIUgambling, with many differences between males and females and between adults and young adults. SPIUcom was a significant predictor of GPIU among our four groups, SPIUinfo, SPIUgaming and depressive symptoms were significant among women, men and young adults, and SPIUvideo and time spent online were also significant among women and young adults. To our knowledge, this study is the first to explore so many SPIU, particularly in a sample of French adults. More important, our results contribute to the advance of the field of PIU by highlighting differences between each PIU, variables that should be seriously considered in future research.
    Computers in Human Behavior 07/2015; 48. DOI:10.1016/j.chb.2015.02.006 · 2.69 Impact Factor
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    • "ναφορικά με τον επιπολασμό του διαδικτυακού εθισμού, ανάλογα ευρήματα εντοπίζουμε και στη βιβλιογραφία (Demetrovics, Szeredi & Rozsa, 2008. Pallanti, Bernardi & Quercioli 2006. Chou & Hsiao, 2000. "
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    ABSTRACT: The purpose of this study is to investigate the attitudes of adolescents toward internet addiction. Cross-sectional study of 92 high school students aged 15–17 (M=15.96 years old, SD = 0,82) completed the following self-reported measures: YDQ for internet addiction, Crowne and Marlowe social desirability scale and the Attitudes Towards Internet Addicted User scale. Adolescents represent internet addicted user as a person who spent most of his time surfing on the internet, as well as a person who sleep less because of his compulsive internet addiction. Adolescents make a distinction between daily uses of the internet (e.g. seeking information on the internet) and behaviors associated with internet addiction. From the exploratory factor analysis four factors emerged. The scale of social desirability was not associated systematically with the items of the scale Attitudes Towards Internet Addicted User and the YDQ scale of internet addiction. The U test showed significant gender differences regarding attitudes towards internet addicted user, with girls showing higher levels in items referring to compulsive use and decreased functionality, while boys showed higher level in recommendations relating to self- awareness of dependency and the protection of privacy in the internet. The examination of attitudes toward internet addicted user revealed some interesting findings for adolescents beliefs and attitudes toward problematic internet use. Furthermore, these findings provide guidance for the designation of an intervention program about internet addiction in Greece or for an adaptation in the Greek context of an already implemented program in other countries.
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