INTRODUCTION: Obsessive compulsive disorder (OCD) is a chronic disease that affects social relationships, and occupational and academic performance of patients and their relatives due to cognitive, emotional, and behavioural aspects of the disease. Quality of life (QoL) in relatives of patients with OCD has previously been reported and compared with caregivers of patients with other psychiatric conditions. However, there are few studies available in the literature regarding the causality of QoL in caregivers of patients with OCD. OBJECTIVE: The aim of this study was to evaluate QoL of caregivers of patients with OCD and predictors of QoL of the family caregivers. METHODS: The study population comprised of 68 patients with OCD and their caregivers. The dependent variable of this study is "QoL of caregivers" as assessed by the short version of the World Health Organization Quality of Life questionnaire (WHOQOL-BREF-TR). The Structured Clinical Interview for DSM-IV/Clinical Version (SCID-I/CV), Yale-Brown obsessive-compulsive scale (Y-BOCS), Y-BOCS symptom checklist, Hamilton Depression Rating Scale (HAM-D), and WHOQOL-BREF-TR were completed by the patients, whereas the SCID-I/CV, WHOQOL-BREF-TR, and Burden Assessment Scale (BAS) were completed by the caregivers. Student's t-test, MWU, ANOVA, Kruskal-Wallis ANOVA, and Spearman's correlations were used in univariate analyses, and multiple linear regression tests were run in multivariate analyses. Critical VIF values were taken as 5.0 for detecting collinearity among independent variables in the regression analyses. Type 1 error was taken as 0.05 in the analyses. RESULTS: Linear regression analysis showed that caregivers' sex, education level, occupational status, disease burden, and patients' sex, physical QoL, and disease severity were predictors of caregivers' QoL. Moreover, disease burden was the only common predictor that affected all four dimensions (physical, psychological, social relations, environmental) of the caregiver's QoL, and as the perceived disease burden increased, the caregiver's QoL deteriorated.

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Background: Although excessive use of social networking site (SNS) is related to undesired effects on healthy individual’s psychological well-being, there is a huge gap in studies performed with individuals who suffer from various mental disorders. Aim: The main goal of this study is to examine the association between problematic utilization of SNSs and depressive symptoms across patients diagnosed with major depressive disorder (MDD). Methods: 111 patients diagnosed with MDD (diagnoses confirmed via the Structured Clinical Interview for DSM-5–Clinician Version (SCID-5/CV)) and 108 healthy controls (HCs) were recruited for the study. Montgomery–Asberg Depression Rating Scale (MADRS) and Bergen Social Media Addiction Scale (BSMAS) were administered by both MDD and HC groups. Group comparisons were estimated with multivariate analysis of covariance (MANCOVA) analyses. To identify the relationship between SNS addiction and depressive symptoms, the Pearson correlations were performed, and finally, we computed the multiple linear regression analyses to determine whether SNS addiction predicts depressive symptoms. Results: The results revealed that MDD group is more addicted to SNS relative to HC. In addition, depressive symptoms were significantly predicted by ‘relapse’ subdimension and the overall score of SNS addiction in the MDD group. Conclusion: Our study illustrated the detrimental effects of excessive SNSs usage on depressive symptoms in MDD particularly for the individuals in ‘relapse’ state of SNS addiction. The mental health workers should consider the usage patterns of SNSs in patients diagnosed with MDD during their clinical observation and management.

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