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The Relationship Between Lifetime Suicide Attempts, Serum Lipid Levels, and Metabolic Syndrome in Patients With Bipolar Disorders Publisher Pubmed



Shakeri J1 ; Farnia V1 ; Valinia K2 ; Hashemian AH3 ; Bajoghli H4, 5 ; Holsboertrachsler E6 ; Brand S6, 7
Authors
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Authors Affiliations
  1. 1. Department of Psychiatry, Behavioral Sciences Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
  2. 2. Stdnt. Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
  3. 3. Department of Biostatistics and Epidemiology, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
  4. 4. Iranian National Center for Addiction Studies (INCAS), Iranian Institute for Reduction of High-Risk Behaviours, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. ASEAN Institute for Health Development, Mahidol University, Nakhornpathom, Thailand
  6. 6. Center for Affective, Stress and Sleep-Disorders, Psychiatric Clinics of the University of Basel, Wilhelm Klein-Strasse 27, Basel, 4012, Switzerland
  7. 7. Department of Exercise and Health Sciences, Faculty of Medicine, University of Basel, Basel, Switzerland

Source: International Journal of Psychiatry in Clinical Practice Published:2015


Abstract

Objectives. To assess the relationship between lifetime suicide attempts (SAs), serum lipid values, and metabolic syndrome (MetS) in patients with bipolar disorders (BPD). Methods. Eighty patients with BPD took part in the study (M = 40.60 years). After psychiatric diagnosis, demographic data, SAs, and serum lipids were measured and MetS was calculated. Results. 70% reported at least one suicide attempt. 52.5% suffered from MetS. Suicide attempters had higher cholesterol values. SAs were associated with a family history of suicide, current mood state, and lower educational level. SAs were unrelated to MetS. Conclusions. In patients with BPD, against expectations, the occurrence of SAs was associated with higher cholesterol values. Serum lipid values are not suitable as a biological trait marker to predict SAs. © 2014 Informa Healthcare.
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