Prevalence of loneliness and its correlates among patients with schizophrenia.

BACKGROUND: There are limited data on loneliness and its correlates in patients with schizophrenia. OBJECTIVE: To evaluate prevalence and correlates of loneliness in patients with schizophrenia, currently in clinical remission. METHODOLOGY: A total of 160 patients of schizophrenia in clinical remission were assessed on UCLA Loneliness Scale, Positive and Negative syndrome scale, Calgary Depression Scale for Schizophrenia (CDSS), Internalized Stigma of Mental Illness Scale, Rosenberg Self-esteem Scale, Brief COPE, Beck's Hopelessness Scale, Brief Dyadic Scale of Expressed Emotions, and Self-report Quality of Life Measure. RESULTS: The mean age of the study sample was 34.99 (SD = 9.13) years. The prevalence of loneliness in the study sample was 80%, with mean total UCLA-loneliness scale score of 30.04 (16.9).Compared to participants without loneliness, those with loneliness had had higher CDSS score, had poor quality of life, lower self-esteem, experienced higher level of stigma, more often used maladaptive coping strategies such as self-blaming and reported a higher level of hopelessness. In the correlation analysis, higher level of loneliness was associated higher severity of depression, higher level of stigma (except for stigma resistance) and discrimination, poorer quality of life, lower self-esteem, perception of a higher level of expressed emotions, higher use of maladaptive coping in the domains of behavioral disengagement, and self-blaming, and a higher level of hopelessness. In regression analysis, the maximum variance of loneliness was explained by quality of life score (29%), followed by hopelessness score (8.8%) and discrimination score (2%). CONCLUSION: There is a high prevalence of loneliness in patients with schizophrenia, and there is a need to routinely evaluate the patients of schizophrenia for loneliness and address the same.

Fatigue, perceived stigma, self-reported cognitive deficits and psychological morbidity in patients recovered from COVID-19 infection.

BACKGROUND: Few studies have highlighted multiple psychosocial and physical outcomes in patients with COVID-19 infection after recovery. However, the data from developing countries is limited. AIM: To evaluate psychological morbidity, post-traumatic stress disorder (PTSD), fatigue, and perceived stigma among patients with COVID-19 after recovery from the acute phase of COVID-19 infection. METHODS: In a cross-sectional online survey, 206 adult patients (age>18 years), recovered from COVID-19 infection completed the Patient Health Questionnaire-4 (PHQ-4), the Impact of Events Scale-Revised (IES-R), Fatigue Severity Scale (FSS), 4 items self-designed questionnaire evaluating cognitive deficits and self-designed questionnaire to evaluate perceived stigma. Additionally, they completed the information about demographic and clinical information. RESULTS: The prevalence of anxiety, depressive symptoms, and PTSD in the study sample was 24.8 %, 23.8 %, and 30 % respectively. About three-fifths of the participants (61.2 %) had at least one fatigue symptom as per the FSS with the mean FSS score being 32.10 ± 15.28. About one-fourth of the participants (23.7 %) reported "feeling confused and always feeling mentally foggy", and 38 % of patients reported experiencing at least one cognitive problem. The level of felt stigma related to self was seen in 31.1 %, 20 % reported stigma related to family, and 50 % reported stigma in relation to neighbors and society. Those reporting higher PTSD scores had higher anxiety and depressive scores, reported more fatigue and stigma, and had a higher level of cognitive deficits. A higher fatigue score was also associated with higher anxiety, depression, and cognitive deficits. CONCLUSIONS: Our study reveals that a significant proportion of patients after recovery from COVID-19 experience psychological morbidities, fatigue, cognitive problems, and stigma. Efforts should be made to take care of these issues in routine post-COVID follow-up care.

Proactive case finding for severe mental illness in a rural area in the Indian Punjab: findings and lessons.

People with severe mental illnesses may experience barriers in accessing community mental health services. We used the key informant method to detect people with untreated severe mental illness in seven villages in the Indian state of Punjab. The key informant was a local community leader. We were able to contact 11 patients who were identified as suffering from severe mental illness by the key informants. On assessment, eight of them had intellectual disability and three had psychotic and affective illness. We discuss the barriers and opportunities for providing mental health services in the community.