• Users Online: 376
  • Home
  • Print this page
  • Email this page
Home Current issue Archives Ahead of print Search Subscribe Instructions Submit article About us Editorial board Contacts Login 
Year : 2014  |  Volume : 35  |  Issue : 2  |  Page : 95-99

Metabolic syndrome in a sample of patients with bipolar disorder in Sharkia governorate

Psychiatry Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt

Correspondence Address:
MD Mohamed G. Negm
Psychiatry Department, Faculty of Medicine, Zagazig University, Zagazig
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1110-1105.134195

Rights and Permissions

Introduction Metabolic syndrome (MetS) is a group of metabolic abnormalities that include abnormal glucose metabolism, central obesity, dyslipidemia, reduced high-density lipoprotein-cholesterol, and hypertension. Patients and methods A random sample consisted of 50 bipolar patients recruited from psychiatric outpatient's clinics of Zagazig University Hospitals, whether or not would be admitted to the inpatients wards. The following scales were administered: Young Mania Rating Scale, Positive and Negative Syndrome Scale, and Zagazig Depression Scale. Results Our cross-sectional observation confirms that MetS is highly prevalent in patients with bipolar disorder. We found a prevalence of MetS of 64% among patients with bipolar disorder, which is approximately double (30%) the rate reported in our general population sample. Conclusion There is a need for psychoeducational programs including healthier eating habits and lifestyle advice in patients with bipolar disorder. Clinicians should be aware of the metabolic issues when treating these patients.

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 Downloaded127    
    Comments [Add]    

Recommend this journal