Home Print this page Email this page Small font size Default font size Increase font size
Users Online: 7982
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Year : 2017  |  Volume : 6  |  Issue : 2  |  Page : 351-355

A study on the prevalence of depression and its risk factors among adult population of Siliguri subdivision of Darjeeling district, West Bengal

1 Department of Community Medicine, IQ City Medical College and Hospital, Durgapur, West Bengal, India
2 Department of Community Medicine, ID and BG Hospital, Kolkata, West Bengal, India
3 Department of Community Medicine, MGM Medical College, Kishanganj, Bihar, India
4 Department of Psychiatry, Sagar Dutta Medical College, Kolkata, West Bengal, India
5 Department of Community Medicine, North Bengal Medical College, Siliguri, West Bengal, India

Correspondence Address:
Dr. Sudip Banik Chaudhuri
Shimulpur, Thakurnagar, North 24 Parganas, West Bengal
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jfmpc.jfmpc_326_16

Rights and Permissions

Introduction: Considering morbidity and mortality, depression is a burning issue in the modern civilization. Early diagnosis and treatment significantly reduces the incidence of morbidity and mortality. In this context, the present study was conducted to find the prevalence and associated factors of depression among adult population of Siliguri subdivision, Darjeeling district, West Bengal. Materials and Methods: A community-based cross-sectional study was conducted among adult population (≥18 years) of Siliguri subdivision of Darjeeling district, West Bengal. Thirty-cluster sampling method was used to identify the study participants. Beck's depression inventory–II was used as the screening tool. Binary logistic regression was done to find the associated factors of depression using IBM SPSS software Version 20.0 (Armonk, New York). Results: Overall, 36% of the study participants were depressed and 11% were significantly depressed. In binary logistic regression, female gender, rural resident, and lower educational status were found to be significantly associated with depression. Conclusion: Screening of depression and early identification of associated factors helps in reducing the adverse outcome of depression. More than one-third of the population depressed and there were some modifiable associated factors such as educational status and rural residence.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded153    
    Comments [Add]    

Recommend this journal