Psychiatric Comorbidity of Internet Addiction in College Students: An Interview Study

CNS Spectrums ◽  
2008 ◽  
Vol 13 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Chih-Hung Ko ◽  
Ju-Yu Yen ◽  
Cheng-Sheng Chen ◽  
Cheng-Chung Chen ◽  
Cheng-Fang Yen

ABSTRACTObjective:This study was aimed to evaluate the association between Internet addiction and depressive disorder, social phobia and adult attention-deficit/hyperactivity disorder (ADHD) in a sample of Taiwanese college students; and examine gender differences in the psychiatric comorbidity of Internet addiction in this student population.Methods:Two hundred sixteen college students (132 males, 84 females) were recruited. Internet addiction, major depressive disorder, dysthymic disorder, social phobia, and adult ADHD of all participants were diagnosed based on psychiatric diagnostic interview.Results:This study revealed that adult ADHD and depressive disorders were associated with Internet addiction among college students. However, depressive disorders were associated with Internet addiction in the males but not the females.Conclusion:With these results, it seems reasonable to suggest that effective evaluation of, and treatment for, adult ADHD and depressive disorders is required for college students with Internet addiction.

2020 ◽  
Vol 1 (2) ◽  
pp. 44-53
Author(s):  
Jose Luis ◽  
Marco Antonio

The objective of the study was to test the influence of Attention-Deficit/Hyperactivity Disorder (ADHD) and its associated problems. The focus of the study was college students in the city of Mexico. The methodology was quantitative and survey based. Data is collected from two selected college students and sample size was 327. Correlation results shows that there is positive and significant relationship between ADHD and psychological problems. Accordingly, attention deficit is positively associated with internet addiction (r=.33, P<.05); depression (r=.29, P<.05); anxiety (r=.26, P<.05); stress (r=.41, P<.05); and social phobia (r=.27, P<.05). The other variable is hyperactivity/impulsivity which is also positively associated with internet addiction (r=.34, P<.05); depression (r=.29, P<.05); anxiety (r=.29, P<.05); stress (r=.27, P<.05); and social phobia (r=.26, P<.05). The canonical correlation results shows that attention deficit disorder is associated with dependent variables including internet addiction (Fstat=6.09, P<.05); depression (Fstat=4.78, P<.05); anxiety (Fstat=2.89, P<.05); stress (Fstat=7.92, P<.05); and social phobia (Fstat=4.94, P<.05). Similarly, hyperactivity/impulsivity is positively associated with internet addiction (Fstat=8.27, P<.05); depression (Fstat=5.30, P<.05); anxiety (Fstat=6.69, P<.05); stress (Fstat=20.61, P<.05); and social phobia (Fstat=3.51, P<.05). Overall, our results implies that ADHD is positively leading to other psychological problems among the college students and hence need suitable intervention


CNS Spectrums ◽  
2008 ◽  
Vol 13 (S8) ◽  
pp. 11-13 ◽  
Author(s):  
Timothy E. Wilens

There is a complex overlap between major depressive disorder (MDD) and attention-deficit/hyperactivity disorder (ADHD). The different therapeutic options for adult ADHD mirror those used for children with ADHD. Both stimulant and nonstimulant medications are used to treat the disorder.


1996 ◽  
Vol 19 (4) ◽  
pp. 252-261 ◽  
Author(s):  
Stephanie K. San Miguel ◽  
Steven R. Forness ◽  
Kenneth A. Kavale

The hypothesis that social skills deficits in learning disabilities may reflect the comorbidity of learning disabilities with psychiatric diagnoses is partially supported by prevalence rates of learning disabilities within samples of individuals with attention deficit hyperactivity disorder (ADHD) and depressive or dysthymic disorder. The maladaptive social skills patterns of children with specific subtypes of learning disabilities appear to mimic the symptom patterns of children with ADHD, depression or dysthymia, thus providing additional support for the psychiatric comorbidity hypothesis. This article includes a discussion of the implications of a psychiatric comorbidity hypothesis for increased special education support, further delineation of subtypes of learning disabilities, therapeutic, psychological or psychopharmacologic treatment, and collaborative efforts between professionals in mental health and learning disabilities.


2005 ◽  
Vol 50 (8) ◽  
pp. 479-489 ◽  
Author(s):  
Elisa Romano ◽  
Richard E Tremblay ◽  
Frank Vitaro ◽  
Mark Zoccolillo ◽  
Linda Pagani

Objective: To investigate sex and informant effects on comorbidity rates for anxiety disorders, depressive disorders, attention-deficit hyperactivity disorder (ADHD), and conduct–oppositional disorder (CD–ODD) in an adolescent community sample. Method: The Diagnostic Interview Schedule for Children-2.25 (DISC-2.25) was administered to 1201 adolescents and their mothers. Results: The highest comorbidity risk found was between ADHD and CD–ODD, with odds ratios (ORs) of 17.6 for adolescent reports and 12.0 for mother reports. The second-highest comorbidity risk, with ORs of 13.2 for adolescent reports and 11.0 for mother reports, was between anxiety and depressive disorders. There was not much overlap between internalizing and externalizing disorders. Adolescent girls had higher rates of coexisting anxiety and depressive disorders, whereas adolescent boys had higher rates of coexisting ADHD and CD–ODD. There was partial support for the hypothesis that adolescent-reported comorbidity rates would exceed mother-reported rates. Conclusions: There is a greater cooccurrence of within-category, compared with between-category, disorders. Adolescent girls are more likely to have coexisting internalizing disorders, while adolescent boys are more likely to have coexisting externalizing disorders. Mothers tend to report more externalizing disorders (that is, ADHD), while adolescents generally report more internalizing disorders.


2020 ◽  
pp. 108705472093081
Author(s):  
Lida Zamani ◽  
Zahra Shahrivar ◽  
Javad Alaghband-Rad ◽  
Vandad Sharifi ◽  
Elham Davoodi ◽  
...  

Objectives: This study evaluated the psychometrics of the Farsi translation of diagnostic interview for attention-deficit hyperactivity disorder (ADHD) in adults (DIVA-5) based on DSM-5 criteria. Methods: Referrals to a psychiatric outpatient clinic ( N = 120, 61.7% males, mean age 34.35 ± 9.84 years) presenting for an adult ADHD (AADHD) diagnosis, were evaluated using the structured clinical interviews for DSM-5 (SCID-5 & SCID-5-PD) and the DIVA-5. The participants completed Conner’s Adult ADHD Rating Scale-Self Report-Screening Version (CAARS-S-SV). Results: According to the SCID-5 and DIVA-5 diagnoses, 55% and 38% of the participants had ADHD, respectively. Diagnostic agreement was 81.66% between DIVA-5/SCID-5 diagnoses, 80% between SCID-5/CAARS-S-SV, and 71.66% between DIVA-5/CAARS-S-SV. Test–retest and inter-rater reliability results for the DIVA-5 were good to excellent. Conclusion: Findings support the validity and reliability of the Farsi translation of DIVA-5 among the Farsi-speaking adult outpatient population.


2017 ◽  
Vol 41 (S1) ◽  
pp. S396-S397
Author(s):  
B. Tuzun Mutluer ◽  
T.G. Yener Orum ◽  
S. Sertcelik

ObjectiveIn this study, it was aimed to determine the internet use properties of Adult Attention Deficit Hyperactivity Disorder (ADHD) patients who were followed-up at Haydarpasa Numune Research and Training Hospital, Psychiatry Department; ADHD Outpatient Clinic.MethodThirty participants who were diagnosed with adult ADHD aged between 18–31 years rated their ADHD symptoms in childhood retrospectively, using Wender Utah Rating Scale. Patients rated current adult ADHD symptoms with the Adult ADHD DSM-IV-Based Diagnostic Screening and Rating Scale (DSRS) and severity of symptoms measured by Adult ADHD Self-Report Scale (ASRS). Internet addiction (IA) was assessed with Young's Internet Addiction Scale (IAS). It was determined that, none of 30 Adult ADHD patients have been diagnosed with IA.29 of patient have moderate internet use although 1 of patients have risky internet use. The results revealed that total ASRS score (P = 0.020), total Adult ADHD DSM-IV-Based DSRS score (P = 0.036) and the Attention Deficit related properties subscale total score (P = 0.042) were significantly correlated with the IAS total score. Subscale of the self-report scales including; failing to finish schoolworks, chores, or duties at workplace, difficulty of following through on instructions (P = 0.017), restiveness; impaired inhibitory performance (P = 0.017), feeling not confident (P = 0.017), difficulty of managing time (P = 0.047), failing to give close attention to details or making careless mistakes (P = 0.037) are closely relevant to IAS total score.ResultIn conclusion, clinical features, which are characteristic of Adult ADHD could have same shared etiology with IA. Furthermore, ADHD patients are more likely to have an IA diagnosis. However, it was thought that this result had to be supported with studies including larger samples.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2016 ◽  
Vol 70 (12) ◽  
pp. 567-572 ◽  
Author(s):  
Masaru Tateno ◽  
Alan R. Teo ◽  
Tomohiro Shirasaka ◽  
Masaya Tayama ◽  
Motoki Watabe ◽  
...  

2016 ◽  
Vol 46 (7) ◽  
pp. 1449-1458 ◽  
Author(s):  
S. Young ◽  
R. A. González ◽  
L. Mutch ◽  
I. Mallet-Lambert ◽  
L. O'Rourke ◽  
...  

BackgroundAttention deficit hyperactivity disorder (ADHD) is overrepresented in prison, making it imperative to identify a screening tool that can be quickly applied to efficiently detect the disorder. We explored the discrimination ability of a widely used ADHD screen, the Barkley Adult ADHD Rating Scale (BAARS-IV), against a clinical diagnostic interview. A brief version of the screen was then developed in order to simplify its use in the prison context, and maximize its diagnostic properties.MethodA cross-sectional study of 390 male prison inmates was performed in the UK, all participants were screened and interviewed via the Diagnostic Interview for ADHD in Adults 2.0 (DIVA-2).ResultsA total of 47 (12.1%) inmates screened positive for ADHD using the full BAARS-IV, and 96 (24.6%) were clinically diagnosed, for a sensitivity of 37.9 and a specificity of 96.3. Our models identified the six items that most predicted ADHD diagnosis, with adjusted odds ratios ranging from 2.66 to 4.58. Sensitivity, specificity and accuracy were 0.82, 0.84 and 0.84, respectively, for the developed brief scale, and 0.71, 0.85 and 0.81 for its validation. Weighted probability scores produced an area under the curve of 0.89 for development, and 0.82 for validation of the brief scale.ConclusionsThe original BAARS-IV performed poorly at identifying prison inmates with ADHD. Our developed brief scale substantially improved diagnostic accuracy. The brief screening instrument has great potential to be used as an accurate and resource-effective tool to screen young people and adults for likely ADHD in the criminal justice system.


2021 ◽  
pp. 108705472110179
Author(s):  
Eyup Sabri Ercan ◽  
Gul Unsel-Bolat ◽  
Ali Evren Tufan ◽  
Sevcan Karakoc Demirkaya ◽  
Oznur Bilac ◽  
...  

Objective: This study aimed to determine the prevalence and comorbidities of attention-deficit hyperactivity disorder (ADHD) by evaluating a large-scale nation-wide sample of children. Method: The inclusion criterion was being enrolled as a 2nd, 3rd, or 4th-grade student. A semi-structured diagnostic interview (K-SADS-PL), DSM-IV-Based Screening Scale for Disruptive Behavior Disorders, and assessment of impairment (by both parents and teachers) were applied to 5,842 participants. Results: The prevalence of ADHD was 19.5% without impairment and 12.4% with impairment. Both ADHD with and without impairment groups had similar psychiatric comorbidity rates except for oppositional defiant disorder (ODD) and conduct disorder (CD) diagnoses. Impairment in the ADHD group resulted in significantly higher ODD and CD diagnoses. Conclusion: Even when impairment is not described, other psychiatric disorders accompany the diagnosis of ADHD and may cause impairment in the future. Impairment in the diagnosis of ADHD significantly increases the likelihood of ODD and CD.


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