A. Sidana, Sonali Aggarwal, Arshdeep Jhalli, Kampila Kardam
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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":"{\"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. 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引用次数: 0
摘要
关于网络成瘾(IA)在抑郁症、焦虑症、强迫症和物质使用障碍等常见精神障碍(cmd)中的研究文献很少。早期识别慢性阻塞性肺病患者的IA有助于更好地管理这两种疾病。评估慢性阻塞性肺病患者IA的程度和严重程度。这是一项横断面、单组、探索性研究,在印度北部三级护理教学医院精神科进行。年龄在18岁及以上,根据ICD-11标准诊断为CMDs(神经症和压力相关障碍、抑郁症和物质使用障碍)的患者在获得书面知情同意书后纳入研究。采用汉密尔顿焦虑量表(HAM-A)、汉密尔顿抑郁量表(HAM-D)、耶鲁-布朗强迫症量表、酒精依赖严重程度问卷和阿片类药物依赖严重程度问卷对慢性阻塞性肺病的严重程度进行评估。采用Young 's IA测试评估IA水平。共纳入了150例诊断为慢性阻塞性肺病的患者。男性略高于女性(56% vs . 44%),大多数年龄在40岁以下(55.3%),已婚(66.7%),城市背景(65.3%)。在150人中,84人(56%)患有抑郁症,45人(30%)患有焦虑症,15人(10%)患有强迫症,只有6人(4%)患有物质使用障碍。69名(46%)参与者患有IA(36名轻度和33名中度),没有人患有严重IA。IA与CMDs有显著相关性(P < 0.05)。年龄、婚姻状况和居住类型是IA的独立预测因素或危险因素。该指数研究得出结论,CMDs和IA之间存在很强的相关性。大约一半患有慢性阻塞性肺病的人患有内源性疾病。
Extent and Severity of Internet Addiction in Persons with Common Mental Disorders
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.