Analytical study of adult attention deficit hyperactivity disorder symptoms and internet addiction among medical students

Kandre, Dhiraj; Patel, Ankita; Mehta, Prakash

doi:10.5114/nan.2020.97398

Cited by 4 publications

(4 citation statements)

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“…Current literature shows that ADHD symptoms are related with forms of technology addiction (e.g., Andreassen et al, 2016;Hussain & Griffiths, 2021;Hussain & Wegmann, 2021) as was shown in this study. Although it has been found that the inattention symptom is the most related symptom for many forms of TA (Panagiotidi & Overton, 2020;Wang et al, 2017), most of the explanations such as a reduced ability to react to punishment (Kandre et al, 2020) or seeking immediate rewards (Wang et al, 2017) are related to the features of impulsivity (Salehinejad et al, 2021). Therefore, the role of the symptom of inattention in forming TAs needs to be confirmed and further investigated experimentally.…”

Section: Discussionmentioning

confidence: 98%

“…People with ADHD have inhibition and cognitive control problems (Panagiotidi & Overton, 2018;Wang et al, 2017), exhibit a reduced ability to react to punishment (Kandre et al, 2020) and tend to seek immediate rewards (Wang et al, 2017). Furthermore, they display sensation-seeking personality traits, a need for new, varied, and complicated experiences and sensations, as well as a readiness to take risks to fulfil this need (Panagiotidi & Overton, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

Aydin,

Parris,

Arabaci

et al. 2023

Curr Psychol

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An increasing number of studies have reported the existence of ADHD symptoms to be risk factors for technology addictions among young adults. In contrast to previous studies, the aim of the present study was to examine different dimensions of technology addiction in a community sample of adults and to examine their association with the individual trait-level ADHD symptoms of inattention and hyperactivity-impulsivity. A community sample of one hundred and fifty adults were recruited to participate in this study via convenience sampling. Participants completed the Adult ADHD Self-Report Scale Symptom Checklist, the Bergen Social Media Addiction Scale, the Smartphone Addiction Scale, Young’s Internet Addiction Test, the Compulsive Online Shopping Scale, and a Demographic Information Form. Composite ADHD score, inattention and hyperactivity/impulsivity were positively associated with technology addictions (internet, social media, smartphone, and online shopping addiction). Hierarchical regression analysis revealed inattention and hyperactivity-impulsivity were predictors of social media addiction and smartphone addiction, whereas they were not for online shopping addiction. Furthermore, inattention was the only predictor of internet addiction. People with non-clinical, trait-level ADHD, especially those showing a preponderance of inattention symptoms appear to be more vulnerable to developing some forms of technology addiction.

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Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

Aydin,

Parris,

Arabaci

et al. 2023

Curr Psychol

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“…A total of 50 studies were included in the systematic review based on Young's criteria cut-off scores of 50 (Y-IAT ≥50; n=20 901, k=42) and 40 (Y-IAT ≥40; n=2816, k=8). [59][60][61][62][63][64][65][66] The included studies' characteristics are summarised in tables 1 and 2. The sample population covered young adults in the age group 17 to 35 who were pursuing their careers in the medical and engineering science stream (n=15 262, k=39) and allied courses such as basic Science and arts stream (n=8455, k=11).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis

Joseph

Varghese

et al. 2021

Gen Psych

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BackgroundThe internet is an integral part of everyone’s life. College going adolescents are highly vulnerable to the misuse of the internet.AimsTo estimate the pooled prevalence of internet addiction (IA) among college students in India.MethodsLiterature databases (PubMed, Web of Science, Scopus, EMBASE, PsycINFO and Google Scholar) were searched for studies assessing IA using the Young Internet Addiction Test (Y-IAT) among adolescents from India, published in the English language up to December 2020. We included studies from 2010 to 2020 as this is the marked era of momentum in wireless internet connectivity in India. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the fixed-effects model. Publication bias was evaluated using Egger’s test and visual inspection of the symmetry in funnel plots.ResultsFifty studies conducted in 19 states of India estimated the prevalence of IA and the overall prevalence of IA as 19.9% (95% CI: 19.3% to 20.5%) and 40.7% (95% CI: 38.7% to 42.8%) based on the Y-IAT cut-off scores of 50 and 40, respectively. The estimated prevalence of severe IA was significantly higher in the Y-IAT cut-off points of 70 than 80 (12.7% (95% CI: 11.2% to 14.3%) vs 4.6% (95% CI: 4.1% to 5.2%)). The sampling method and quality of included studies had a significant effect on the estimation of prevalence in which studies using non-probability sampling and low risk of bias (total quality score ≥7) reported lower prevalence. The overall quality of evidence was rated as ‘moderate’ based on the Grading of Recommendations Assessment, Development and Evaluation criteria.ConclusionsOur nationally representative data suggest that about 20% to 40% of college students in India are at risk for IA. There is a need for further research in the reconsideration of Y-IAT cut-off points among Indian college students.PROSPERO registration numberCRD42020219511.

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“…Some confirmation with respect to the age trend involved in such issues comes from studies that have recently focused on the Internet addiction of workers and professionals ( 108 – 111 ). Other studies also point out the association between Internet addiction (in both adults and young adults) with depression ( 43 , 112 – 114 ), hyperactivity and attention deficit ( 115 – 119 ).…”

Section: Discussionmentioning

confidence: 99%

Internet addiction in young adults: The role of impulsivity and codependency

et al. 2022

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Excessive Internet use has demonstrated comorbidity with other psychological symptoms and psychiatric disorders, as well as impairments in the management of daily life, relationships and emotional stability. Recent findings in the literature have consistently supported the relationship between impulsivity and Internet addiction. The present study hypothesized that, in addition to impulsivity, a further predictor of Internet addiction might be relational co-dependency, which is also associated in the literature with addiction phenomena, but mainly substance addiction. This paper investigates the role and predictive weight of impulsivity and codependency on Internet addiction on a sample of young adult university students (n = 481) by using a hierarchical regression analysis. The participants were administered the UADI-2, the BIS-11 and the SFCDS. In terms of percentage distribution, 38 % of the participants were in the dependency range, while 37.7 % demonstrated Internet abuse behavior. The results confirmed the role of impulsiveness (β = 0.312) and added to the literature by showing the significant role of relational codependency (β = 0.275), gender (β = 0.174) and age (β = 0.196). Thus, male participants were more dependent, more impulsive and more co-dependent, with increasing age in the given range (18–30). The present study shed light to the presence of this issue among young adults and that, as a preventive and restraining measure, there is a need not only for targeted awareness-raising programmes but also for interventions to promote greater emotional control and a more balanced management of personal relationships.

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Analytical study of adult attention deficit hyperactivity disorder symptoms and internet addiction among medical students

Cited by 4 publications

References 24 publications

Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis

Internet addiction in young adults: The role of impulsivity and codependency

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