A. Sidana, Sonali Aggarwal, Arshdeep Jhalli, Kampila Kardam
{"title":"Extent and Severity of Internet Addiction in Persons with Common Mental Disorders","authors":"A. Sidana, Sonali Aggarwal, Arshdeep Jhalli, Kampila Kardam","doi":"10.4103/ijsp.ijsp_192_22","DOIUrl":null,"url":null,"abstract":"\n \n \n There is a scarcity of literature about Internet addiction (IA) in common mental disorders (CMDs) such as depression, anxiety, obsessive-compulsive disorder, and substance use disorders. Early identification of IA in CMDs can help in better management of both disorders.\n \n \n \n To assess the extent and severity of IA in persons with CMDs.\n \n \n \n This was a cross-sectional, single-group, exploratory study conducted at the Department of Psychiatry of tertiary care teaching hospital in North India. Patients aged 18 years and above and diagnosed with CMDs (Neurotic and stress-related disorders, Depressive Disorder, and substance use disorder) as per the ICD-11 criteria were included in the study after taking written informed consent. The severity of CMDs was assessed on Hamilton Anxiety Rating Scale (HAM-A), Hamilton Depression Rating Scale (HAM-D), Yale-Brown Obsessive-compulsive Scale, Severity of Alcohol Dependence Questionnaire and Severity of Opioid Dependence Questionnaire. The level of IA was assessed using Young’s IA Test.\n \n \n \n A total of 150 patients diagnosed with CMDs were included. Males were slightly more than females (56% v/s 44%), most were younger than 40 years of age (55.3%), married (66.7%) and from urban (65.3%) background. Out of 150, 84 (56%) had depressive disorder, 45 (30%) had anxiety disorder, 15 (10%) had OCD and only 6 (4%) had substance use disorders. 69 (46%) participants had IA (36 mild and 33 moderate) and none had severe IA. A significant association was found between IA and CMDs (P < 0.05). Age, marital status, and type of residence were independent predictors or risk factors for IA.\n \n \n \n The index study concludes that there is a strong association between CMDs and IA. About half of persons with CMDs have IA.\n","PeriodicalId":55693,"journal":{"name":"Indian Journal of Social Psychiatry","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Social Psychiatry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijsp.ijsp_192_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
There is a scarcity of literature about Internet addiction (IA) in common mental disorders (CMDs) such as depression, anxiety, obsessive-compulsive disorder, and substance use disorders. Early identification of IA in CMDs can help in better management of both disorders.
To assess the extent and severity of IA in persons with CMDs.
This was a cross-sectional, single-group, exploratory study conducted at the Department of Psychiatry of tertiary care teaching hospital in North India. Patients aged 18 years and above and diagnosed with CMDs (Neurotic and stress-related disorders, Depressive Disorder, and substance use disorder) as per the ICD-11 criteria were included in the study after taking written informed consent. The severity of CMDs was assessed on Hamilton Anxiety Rating Scale (HAM-A), Hamilton Depression Rating Scale (HAM-D), Yale-Brown Obsessive-compulsive Scale, Severity of Alcohol Dependence Questionnaire and Severity of Opioid Dependence Questionnaire. The level of IA was assessed using Young’s IA Test.
A total of 150 patients diagnosed with CMDs were included. Males were slightly more than females (56% v/s 44%), most were younger than 40 years of age (55.3%), married (66.7%) and from urban (65.3%) background. Out of 150, 84 (56%) had depressive disorder, 45 (30%) had anxiety disorder, 15 (10%) had OCD and only 6 (4%) had substance use disorders. 69 (46%) participants had IA (36 mild and 33 moderate) and none had severe IA. A significant association was found between IA and CMDs (P < 0.05). Age, marital status, and type of residence were independent predictors or risk factors for IA.
The index study concludes that there is a strong association between CMDs and IA. About half of persons with CMDs have IA.