Caregiver burden among caregivers of mentally ill individuals and their coping mechanisms

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28 Citations (Scopus)


Background: During a given year, almost 30% of the people around the world are affected by mentally ill health. In India, it accounts for about 20%. Caregivers face a lot of strain, ill health, and disrupted family life, with literature suggesting an increasing concern about their ability to cope up. The needs of caregivers of the mentally ill are given low priority in the current health-care setting in India. Aim: The aim of the study was to assess the burden of caregivers of mentally ill individuals and their coping mechanisms. Methods: A cross-sectional study was employed with a quantitative approach. A convenient sample of 320 caregivers was taken from two private tertiary care centers and one public secondary care center in Udupi taluk. This study was conducted using the Burden Assessment Schedule (BAS) and Brief Cope Scale (BCS). Statistical analysis was done on categorical variables, and they were expressed as frequencies and percentages. Continuous variables were measured using mean and standard deviation. Univariate and multivariate analysis using binomial logistic regression was done. SPSS version 15 was used to analyze the data. Results: According to BAS, severe burden accounted for 40.9% and moderate for 59.1%. The highest amount of burden was seen in the areas of physical and mental health, spouse related, and in areas of external support. The BCS showed that the most frequently used coping styles were practicing religion, active coping, and planning. Conclusion: This study concluded that caregivers of the mentally ill individuals do undergo a lot of burden. Hence, there is a need to develop strategies that can help them such as providing them with a support structure as well as counseling services.

Original languageEnglish
Pages (from-to)180-185
Number of pages6
JournalJournal of Neurosciences in Rural Practice
Issue number2
Publication statusPublished - 01-04-2018

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Clinical Neurology


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