The online version of this article (https://doi.org/10.1186/s12888-018-1588-z) contains supplementary material, which is available to authorized users.
Many studies reported the high prevalence of problematic internet use (PIU) among adolescents (13–50%), and PIU was associated with various psychiatric symptoms. In contrast, only a few studies investigated the prevalence among the adult population (6%). This study aimed to investigate the prevalence of PIU and psychiatric co-morbidity among adult psychiatric patients.
Three hundred thirty-three adult psychiatric patients were recruited over a 3-month period. Two hundred thirty-one of them completed the survey (response rate: 69.4%, 231/333; Male/Female/Transgender: 90/139/2; mean age = 42.2). We divided participants into “normal internet users” and “problematic internet users” using a combination of Young’s Internet Addiction Test (IAT) and the Compulsive Internet Use Scale (CIUS). Demographic data and comorbid psychiatric symptoms were compared between the two groups using self-rating scales measuring insomnia (Athens Insomnia Scale, AIS), depression (Beck Depression Inventory, BDI), anxiety (State-trait Anxiety Inventory, STAI), attention deficit hyperactivity disorder (ADHD) (Adult ADHD Self-report Scale, ASRS), autism (Autism Spectrum Quotient, AQ), obsessive-compulsive disorder (OCD) (Obsessive-Compulsive Inventory, OCI), social anxiety disorder (SAD) (Liebowitz Social Anxiety Scale, LSAS), alcohol abuse, and impulsivity (Barratt Impulsive Scale, BIS).
Among 231 respondents, 58 (25.1%) were defined as problematic internet users, as they scored high on the IAT (40 or more) or CIUS (21 or more). The age of problematic internet users was significantly lower than that of normal internet users (p < 0.001, Mann–Whitney U test). The problematic internet users scored significantly higher on scales measuring sleep problems (AIS, 8.8 for problematic internet users vs 6.3 for normal internet users, p < 0.001), depression (BDI, 27.4 vs 18.3, p < 0.001), trait anxiety (STAI, 61.8 vs 53.9, p < 0.001), ADHD (ASRS, part A 3.1 vs 1.8 and part B 3.5 vs 1.8, p < 0.001), autism (AQ, 25.9 vs 21.6, p < 0.001), OCD (OCI, 63.2 vs 36.3, p < 0.001), SAD (LSAS, 71.4 vs 54.0, p < 0.001), and impulsivity (BIS, 67.4 vs 63.5, p = 0.004).
The prevalence of PIU among adult psychiatric patients is relatively high. As previous studies reported in the general population, lower age and psychiatric comorbidity were associated with PIU among adult psychiatric patients. More research is needed to determine any causal relations between PIU and psychopathological illnesses.
Shaffer HJ, Hall MN, Vander Bilt J. “Computer addiction”: a critical consideration. Am J Orthop. 2000;70(2):162–8. CrossRef
American Psychiatric A, American Psychiatric Association DSMTF. Diagnostic and statistical manual of mental disorders : DSM-5. 5th ed: American Psychiatric Pub; 2013.
World Health Organization. The ICD-10 classification of mental and behavioural disorders : clinical descriptions and diagnostic guidelines. Geneva: World Health Organization; 1992.
Young KS. Caught in the net : how to recognize the signs of internet addiction, and a winning strategy for recovery: Wiley; 1998.
Yong KFR: The reliability and validity of three internet addiction instruments in the Japanese population. http://hdl.handle.net/2261/55608. 2012.
Beck AT, Steer RA, Brown G. Manual for the Beck depression inventory-II. San Antonio: Psychological Corporation; 1996.
Spielberger CD, Reheiser EC. Assessment of emotions: anxiety, anger, depression, and curiosity. Applied Psychology: Health and Well-Being. 2009;1(3):271–302.
Nakazato K, Mizuguchi T. Development and validation of Japanese version of state-trait anxiety inventory: a study with female subjects. hinshin Igaku [in Japanese]. 1982;22(s):107–12.
Foa EB, Kozak MJ, Salkovskis PM, Coles ME, Amir N. The validation of a new obsessive-compulsive disorder scale: the obsessive-compulsive inventory. Psychol Assess. 1998;10:206–2014. CrossRef
Asakura S, Inoue S, Sasaki F, Sasaki Y, Kitagawa N, Inoue T, Denda K, Koyama T. Reliability and validity of the Japanese version of the Liebowitz social anxiety scale. Seishin Igaku [in Japanese]. 2002;44(10):1077–84.
Daeppen JB, Yersin B, Landry U, Pecoud A, Decrey H. Reliability and validity of the alcohol use disorders identification test (AUDIT) imbedded within a general health risk screening questionnaire: results of a survey in 332 primary care patients. Alcohol Clin Exp Res. 2000;24(5):659–65. CrossRefPubMed
Busner J, Targum SD. The clinical global impressions scale: applying a research tool in clinical practice. Psychiatry (Edgmont). 2007;4(7):28–37.
Osaki Y, Kinjo A. Epidemiology on addictive disorders and behaviors in Japan. Nippon Rinsho [in Japanese]. 2015;73(9):1459–64.
Ministry of Internal Affairs and Communications: The survey report of smartphone-app usage and tendency of internet addiction among Japanese high school students. [in Japanese] http://www.soumu.go.jp/main_content/000302914.pdf. 2014.
- Problematic internet use and psychiatric co-morbidity in a population of Japanese adult psychiatric patients
Hille T. de Vries
- BioMed Central
Neu im Fachgebiet Psychiatrie
Meistgelesene Bücher aus dem Fachgebiet
e.Med Kampagnen-Visual, Mail Icon II