• Users Online: 372
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2018  |  Volume : 15  |  Issue : 1  |  Page : 23-27

Predictors of depression among patients having post traumatic brain injury


1 M Sc Nursing student, MOSC College of Nursing, Kolenchery, Ernakulam, Kerala, India
2 Associate Professor, College of nursing, AIIMS, Bhubaneswar, India
3 Associate Professor, Department of Psychiatry, MOSC Hospital, Kolenchery, Ernakulam, Kerala, India

Correspondence Address:
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2231-1505.262501

Rights and Permissions

Introduction: Traumatic Brain Injury (TBI) is associated with multiple neuropsychiatry sequelae, including problems with cognition, emotion and behaviour.The present study was undertaken to assess the cognitive dysfunction and severity of depression among patients with post Traumatic Brain Injury. Materials and Methods: The quantitative, descriptive cross sectional survey design on 154 patients with post TBI, attending followup OPD were enrolled. The Hamilton Rating Scale for Depression (HAMD) was used. Result revealed that 37.7% of subjects had mild depression, 34.4% had moderate depression whereas 27.9% didn’t report any depressive symptoms. The significant predictors of depression were gender (OR =3.80, 95% CI=1.50-9.63) nuclear family (OR=3.00, 95% CI=1.19-7.56), severity of injury (OR =7.13, 95% CI= 1.90-26.76) and job loss (OR=0.12, 95% CI=0.03- 0.41). Conclusion: Patients with TBI are at great risk for developing depression. Nurses should be trained in using standardized scales to identify depression and to refer for the treatment accordingly. Screening and early identification of depression among post TBI patients helps in the prompt treatment which ensures faster recovery and improvement in their quality of life.


[FULL TEXT] [PDF]*
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
    Viewed1122    
    Printed64    
    Emailed0    
    PDF Downloaded113    
    Comments [Add]    

Recommend this journal