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Background: About 20%-30% of persons with major depression are said to have treatment-resistant depression (TRD) when they do not respond to antidepressants. These people continue to suffer in life and have poor quality of life. Although electroconvulsive therapy (ECT) is the most successful option in treating TRD, many people refuse ECT due to various reasons (stigma, the cost involved, and medical complications). Various studies combine treatment options such as psychotherapy, repetitive trans magnetic stimulation, ketamine, and transcranial direct current stimulation (tDCS) in an attempt to reduce symptoms for those people suffering from TRD. This study aims to compare the effectiveness of ECT and tDCS in TRD. Subjects and Methods: A total of 90 persons suffering from TRD were selected for the study. 46 persons received 6 ECTs and 44 persons received 10 sessions of tDCS. Treatment response was measured using baseline and postassessment scores of Hamilton depression rating scale and clinical global impression. The scores were used to determine the effectiveness of ECT in comparison to tDCS in TRD. Statistical Analysis: The mean ± standard deviation was analyzed and paired t-test was used to find the significance of treatment outcome in a group at a 95% confidence interval. Results: ECT was found to be more effective than tDCS in the reduction of depressive symptoms. tDCS showed a significant reduction in depressive symptoms (P < 0.001). ECT has yet again been proven to be effective in the treatment of TRD. Conclusion and Discussion: tDCS is effective in reducing depressive symptoms in persons suffering from TRD. However, ECT is superior in decreasing depressive symptoms in TRD when compared to tDCS.
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BACKGROUND: The internet can cause adverse psychological issues in children whose parents show less competence because of their mental illness. This study aims to find the level of internet addiction among adolescents who have a parent with psychiatric illness and its relationship to the type and duration of their parent's illness. METHOD: This study was conducted among 283 adolescents whose parents suffered from mental illness. They were selected from the inpatient and outpatient services of a neuropsychiatric hospital in India. Informed written consent was obtained from the parent not suffering from psychiatric illness, and a semistructured interview accommodating various factors and statements from the internet addiction test was used to find the level of internet addiction. RESULT: A total of 79.5% of adolescents showed scores indicative of internet addiction, with 14.5% of the participants having mild levels of addiction, 60.8% having moderate levels of addiction, and 4.2% having severe levels of addiction. There is a significant relationship between internet addiction scores and the type and duration of psychiatric illness in a parent. CONCLUSION: The internet addiction scores in adolescents have a significant relationship to the various types of illnesses and the duration of illness of their parents.
RESUMO
BACKGROUND: COVID-19-driven pandemic has caused panic, fear, and stress among all strata of society. The study aimed to assess stress and the factors that influence it in a representative population in the state of Tamil Nadu (TN)-a state in the southern India where the levels of stress have not been measured yet. METHODS: From April 13 to April 25, 2020, we conducted an online survey among the TN population using the snowball sampling technique, collecting basic demographic data. COVID-19-perceived stress was collected through COVID-19 Peritraumatic Distress Index (CPDI). Binomial regression analysis was used to identify the extent of the relationship between CPDI and sociodemographic factors by estimating the odds of having significant stress. P ≤ 0.05 was considered significant. RESULTS: A total of 2,317 valid responses were received. Of the respondents, 830 (35.82%) were males, 1,084 (46.79%) were below 25 years of age, and 2,297 (99.14%) were native residents of TN. The mean(±SD) CPDI was 20.66±12.03. While 1,830 (77.2%) respondents had low or no stress, 478 (20.2%) had mild to moderate stress, and 63 (2.7%) had severe stress. The bivariate model included marital status, age, nativity, and income. The odds of having significant stress (mild-moderate or severe) for a 25-34 year age group as compared to >55 years group was 2.38 (P < 0.001). As compared to widowed, the married had higher odds ratio (3.41, P = 0.05). Compared to those with >10 lakh annual income, those with 2.5-5 lakhs annual income had odds ratio of 1.65 (95% CI = 1.01 to 2.7, P = 0.05). CONCLUSIONS: During the lockdown due to COVID-19, every 1 in 5 TN population had some form of stress, as measured by CPDI. Our model identified certain factors driving the stress, which would help policy framers to initiate an appropriate response.