Study of Common Mental Disorders among-Scale Industry Workers in an Urban Slum in North East Delhi, India

Abstract

Introduction: 10% of the world’s population has mild mental disorders, and 1% suffers from severe mental disorders, while in India prevalence rates of common mental disorders range from 6 to 7% and severe mental disorders 1–2%. Mental health of workers affects the productivity of the workplace, with estimates putting these losses to be over 100 million dollars annually. Objectives • Screening of common mental disorders among workers working in small-scale industries; • To determine the socio-demographic and occupational determinants related to mental disorders in workers working in small-scale industries. Materials and Methods: The study is a cross-sectional study and was conducted among 100 workers of small-scale industries having at least 10 employees in an urban slum of north east Delhi during July to August 2016. Written informed consent was taken from each study participant. A pretested sociodemographic questionnaire and screening tool GHQ-12 (general health questionnaire) and PHQ-SADS (patient’s health questionnaire) was used in the study. Data was analyzed using SPSS version 20.0. Data of 30 cases was analyzed Results: On screening for presence of symptoms suggestive of psychological distress and mental disorder using GHQ-12, out of 100 participants almost all (98%) were found to be at risk. About 38% were having low-somatic symptoms while 14% were having symptoms suggestive of mild anxiety and 23% of moderate depression. Conclusion: The study threw light on prevalence of common mental disorders among small-scale industrial workers and various determinants associated with them.

Authors and Affiliations

Dr. Sujata Gupta,

Keywords

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  • EP ID EP268221
  • DOI 10.24321/2455.9199.201707
  • Views 102
  • Downloads 0

How To Cite

Dr. Sujata Gupta, (2017). Study of Common Mental Disorders among-Scale Industry Workers in an Urban Slum in North East Delhi, India. International Journal of Healthcare Education & Medical Informatics, 4(2), 10-14. https://europub.co.uk/articles/-A-268221