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    Internet addiction and the psychometric properties of the nine-item internet disorder scale-short form: An application of rasch analysis
    (Vesnu Publication, 2019) Bener, Abdulbari; Griffiths, Mark D.; Güler Baysoy, Nüket; Çatan, Funda; Yurtseven, Eray
    Background: The aim of the present study was to determine the prevalence of disordered internet use among adolescent university students and its association with various health complaints and behaviours, and most importantly to examine the psychometric properties of 9-item Internet Disorder Scale-Short Form (IDS9-SF) using factor analyses and Rasch analysis.Methods: A total of 1988 university students aged 18 to 25 years were selected via a multi-stage stratified random sampling technique among university students in Istanbul, Turkey (September 2017 to February 2018). Data collected included socio-demographics, lifestyle and dietary habits, and the 9-item IDS9-SF. Statistical analysis included descriptive statistics, multivariate analyses, factor analyses, path analysis, and Rasch analysis.Findings: Using confirmatory factor analysis (CFA), the study investigated the latent structure of the IDS9-SF instrument and results supported its reliability and validity. The prevalence of disordered internet use was 18.3% in the sample. There were significant differences between those who had disordered internet use and those who did not in gender, family income, school performance, number of bedrooms at home, and number of people living at home, as well as internet use duration. Using multivariate regression analysis, key predictors of disordered internet use included (among others): gender, body mass index (BMI), household income, number of people living at home, having a computer at home, internet facilities, duration of internet use, sleeping hours, frequency of eating fast food, watching television, headache, hurting eyes, tired eyes, and hearing problems. Rash analysis demonstrated that four of the nine items (2, 3, 6, and 7) were more difficult for individuals to endorse compared to other items.Conclusion: Problems arising from excessive internet use were apparent among the study sample and the IDS9-SF is a valid and reliable measure for assessing disordered internet use among Turkish adolescent population.
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    Internet addiction, fatigue, and sleep problems among adolescent students: A large-scale study
    (Springer New York LLC, 2019) Bener, Abdulbari; Yıldırım, Erol; Torun, Perihan; Çatan, Funda; Bolat, Erkut; Alıç, Sümmani; Akyel, Salih; Griffiths, Mark D.
    The aim of the present study was to examine the association between Internet addiction (IA), fatigue, and sleep problems among university students. A total of 3000 Turkish students aged 18 to 25 years were approached and 2350 students (78.3%) participated in this cross-sectional study from April 2017 to September 2017 in public and private universities in Istanbul. Data were collected via a structured questionnaire including socio-demographic details, lifestyle and dietary habits, Internet Addiction Test (IAT), Fatigue Scale, and Epworth Sleepiness Scale (ESS). Descriptive statistics, multivariate, and factorial analyses were performed. The overall prevalence of IA among the studied population was 17.7%. There were significant differences between gender, family income, father’s occupation, school performance, frequency and duration of watching television, physical activity, Internet use duration, and sleep duration (all p <0.001). Significant differences were also found between participants with IA and those without IA in having headaches, blurred vision, double vision, hurting eyes, hearing problems, and eating fast food frequently (all p <0.001). Using multivariate regression analysis, the duration of Internet use, physical and mental symptoms, headache, hurting eyes, tired eyes, hearing problems, and ESS scores were significantly associated with (and primary predictors of) IA. The present study demonstrated that IA was associated with poor dietary habits, sleep problems, and fatigue symptoms.
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    The impact of cigarette smoking, water-pipe use on hearing loss/hearing impairment: A cross-sectional study
    (Asian Pacific Organization for Cancer Prevention, 2024) Bener, Abdulbari; Erdoğan, Ahmet; Griffiths, Mark D.
    OBJECTIVE: The aim of the present study was to determine the association between cigarette smoking, waterpipe smoking, and co-morbidity diseases on hearing loss. METHODS: A cross-sectional study was conducted among 1015 patients [386 males (38%) and 629 females (62%)] who were aged are between 25 and 65 years. The study used clinical, physical examinations and Pure-Tone Audiometry (PTA) to assess hearing. Univariate and multivariate stepwise logistic regression analyses were used for the statistical analysis. RESULTS: Out of 1015 patients assessed, 199 were cigarette smokers with hearing loss (21.6%) and 111 waterpipe smokers with hearing loss (12%). There were statistically significant differences between cigarette smokers with hearing loss regarding (p<0.001), gender (p<0.001), BMI (p<0.001), hypertension (p<0.001), tinnitus (p<0.001), vertigo and/or dizziness (p<0.001), and migraine/headaches (p<0.001). Also there were statistically significant differences between waterpipe smokers with hearing loss, none smokers concerning age groups (p<0.001), BMI (p<0.001), using MP3 players (p=0.004), family history of hypertension (p=0.026), ATP III metabolic syndrome (p=0.010), IDF metabolic syndrome (p=0.012), tinnitus (p<0.001), vertigo/dizziness (p<0.001), and migraine/headaches (p=0.025). Multivariate stepwise logistic regression analysis indicated that tinnitus (p<0.001), dizziness (p<0.001), nausea (p=0.001), headaches and migraine (p<=0.003), fatigue (p=0.004), and vertigo (p=0.022) were considered as risk predictors risk hearing loss related cigarette smokers. Also, analysis revealed that tinnitus (p<0.001), nausea (p=0.001), headaches and migraines (p<0.001), Type 2 diabetes mellitus (p[removed]