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Heterozygous β-thalassaemia as a susceptibility factor in mood disorders: excessive prevalence in bipolar patients

Overview of attention for article published in Clinical Practice and Epidemiology in Mental Health, June 2005
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Title
Heterozygous β-thalassaemia as a susceptibility factor in mood disorders: excessive prevalence in bipolar patients
Published in
Clinical Practice and Epidemiology in Mental Health, June 2005
DOI 10.1186/1745-0179-1-6
Pubmed ID
Authors

Alberto Bocchetta

Abstract

BACKGROUND: Previous preliminary reports have suggested potential interactions between microcytic anaemia and mood disorders. In particular, heterozygous beta-thalassaemia has been implicated in the bipolar spectrum. This study surveyed relevant haematological parameters in a large sample of psychiatric outpatients with the aim of clarifying previous observations. METHODS: Mean Corpuscular Volume (MCV) was analysed in 1014 consecutive patients diagnosed according to modified Research Diagnostic Criteria (RDC). Haemoglobin electrophoresis and/or chromatography was performed in blood samples from 143 patients with reduced MCV. Prevalence of heterozygous beta-thalassaemia was estimated based on the rates of patients with reduced MCV and increased haemoglobin A2 concentration. RESULTS: MCV lower than 80 mu3 was found in greater proportions among bipolar compared with the remaining RDC subgroups (183/732 = 25.0% versus 51/282 = 18.1%; p = 0.02; relative risk = 1.38; Fisher's exact test). This difference can mainly be attributed to heterozygous beta-thalassaemia, the estimated prevalence of which was 16.4% among bipolar and 9.9% among non-bipolar subgroups (p = 0.01; relative risk = 1.65). CONCLUSION: The results are consistent with the hypothesis that heterozygous beta-thalassaemia might play a role as a susceptibility factor in bipolar spectrum disorders in specific populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 13%
Tunisia 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Professor > Associate Professor 2 25%
Student > Ph. D. Student 1 13%
Other 1 13%
Researcher 1 13%
Other 1 13%
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Nursing and Health Professions 1 13%
Social Sciences 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 1 13%