scholarly journals SU59. Prevalence of Psychotic Experiences and Traumatic Events in the 2013 Thai National Mental Health Survey

2017 ◽  
Vol 43 (suppl_1) ◽  
pp. S182-S182
Author(s):  
Suttha Supanya ◽  
Craig Morgan ◽  
Ulrich Reininghaus
Author(s):  
Abdulaziz S. Alangari ◽  
Sarah S. Knox ◽  
Kim E. Innes ◽  
Alfgeir L. Kristjansson ◽  
Sijin Wen ◽  
...  

Author(s):  
Zeina N. Mneimneh ◽  
Steven G. Heeringa ◽  
Yu‐Chieh Lin ◽  
Yasmin A. Altwaijri ◽  
Raphael Nishimura

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Manuela Silva ◽  
Ana Antunes ◽  
Sofia Azeredo-Lopes ◽  
Graça Cardoso ◽  
Miguel Xavier ◽  
...  

Author(s):  
Abdullah S. Al‐Subaie ◽  
AbdulHameed Al‐Habeeb ◽  
Yasmin A. Altwaijri

2005 ◽  
Vol 40 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Terry J. Lewin ◽  
Tim Slade ◽  
Gavin Andrews ◽  
Vaughan J. Carr ◽  
Charles W. Hornabrook

2018 ◽  
Vol 64 (6) ◽  
pp. 589-596 ◽  
Author(s):  
BS Chavan ◽  
Subhash Das ◽  
Rohit Garg ◽  
Sonia Puri ◽  
Aravind BA Banavaram

Background: Mental illness results in a plethora of distressing issues, has tremendous socio-economic impact and causes socio-occupational dysfunction in the individual as well as the caregivers. There is a felt need to explore the disability caused by mental illness and the associated socio-economic impact at the population level in a developing nation like India. Aims: To elucidate the disability and socio-economic impact associated with mental illness at the individual and household levels for the state of Punjab in India. Method: This was a multisite cross-sectional study carried out during 2015–2016 (as a part of the National Mental Health Survey of India) in three districts and one urban metro area of Punjab. The sample was selected using multi-stage, stratified, random cluster sampling technique, with random selection based on Probability Proportionate to Size (PPS) at different stages. A validated set of questions was used to assess the socio-economic impact of mental illness and the Sheehan Disability Scale was used to document self-perceived disability among individuals with mental morbidity. Median (IQR) and proportions were used to summarize quantitative and qualitative data, respectively Results: Subjects with any mental morbidity reported disability of varying severities across different domains of life; family life was affected the most (70.1%). One in every six persons reported that their mental illness interfered with their daily activities to a large extent. Economic burden was high and a typical family would spend about INR 1500/month (US$23) towards the treatment of its member with mental morbidity. Family members had to forego their work for at least 7 days in 3 months to take care of their relative with mental illness. Conclusion: Mental illness causes disability in the individual and has tremendous socio-economic impact on the family, incapacitating a family’s productivity to a large extent and thus affecting the society.


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