Using admixture analysis to examine birth-cohort effects on age at onset of bipolar disorder.

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Title: Using admixture analysis to examine birth-cohort effects on age at onset of bipolar disorder.
Authors: Golmard, J.‐L., Scott, J., Etain, B., Preisig, M., Aubry, J.‐M., Henry, C., Jamain, S., Azorin, J.‐M., Leboyer, M., Bellivier, F.
Source: Acta Psychiatrica Scandinavica. Mar2016, Vol. 133 Issue 3, p205-213. 9p. 2 Charts, 1 Graph.
Subjects: Psychiatric research, Age of onset, Age factors in disease, Bipolar disorder, Mania
Abstract: Objective It is suggested that age at onset ( AAO) of bipolar I disorder ( BP-I) is decreasing. We tested for a birth-cohort effect on AAO using admixture analysis. Method A clinical sample of 3896 BP-I cases was analysed using two approaches: (i) in a subsample with untruncated AAO × birth year distribution ( n = 1865), we compared the best-fitting model for the observed AAO in patients born ≤1960 and >1960, (ii) to control for potential confounders, two separate subsamples born ≤1960 and >1960 were matched for age at interview ( n = 250), and a further admixture analysis was undertaken. Results The two approaches indicated that the proportion of cases in the early AAO category was significantly greater in cases born >1960; manic onsets were also more frequent in the early onset BP-I cases born >1960. Conclusion The decrease in AAO of BP-I in recent birth-cohorts appears to be associated with an increase in the proportion of cases in the early onset subgroup; not with a decrease in the mean AAO in each putative subgroup. This could indicate temporal changes in exposure to risk factors for mania. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Mar2016, Vol. 133 Issue 3, p205-213. 9p. 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Psychiatric+research%22">Psychiatric research</searchLink><br /><searchLink fieldCode="DE" term="%22Age+of+onset%22">Age of onset</searchLink><br /><searchLink fieldCode="DE" term="%22Age+factors+in+disease%22">Age factors in disease</searchLink><br /><searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Mania%22">Mania</searchLink>
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  Data: Objective It is suggested that age at onset ( AAO) of bipolar I disorder ( BP-I) is decreasing. We tested for a birth-cohort effect on AAO using admixture analysis. Method A clinical sample of 3896 BP-I cases was analysed using two approaches: (i) in a subsample with untruncated AAO × birth year distribution ( n = 1865), we compared the best-fitting model for the observed AAO in patients born ≤1960 and >1960, (ii) to control for potential confounders, two separate subsamples born ≤1960 and >1960 were matched for age at interview ( n = 250), and a further admixture analysis was undertaken. Results The two approaches indicated that the proportion of cases in the early AAO category was significantly greater in cases born >1960; manic onsets were also more frequent in the early onset BP-I cases born >1960. Conclusion The decrease in AAO of BP-I in recent birth-cohorts appears to be associated with an increase in the proportion of cases in the early onset subgroup; not with a decrease in the mean AAO in each putative subgroup. This could indicate temporal changes in exposure to risk factors for mania. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Mar2016
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