Family history of depression is associated with younger age of onset in patients with recurrent depression.

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Title: Family history of depression is associated with younger age of onset in patients with recurrent depression.
Authors: Tozzi F (AUTHOR), Prokopenko I (AUTHOR), Perry JD (AUTHOR), Kennedy JL (AUTHOR), McCarthy AD (AUTHOR), Holsboer F (AUTHOR), Berrettini W (AUTHOR), Middleton LT (AUTHOR), Chilcoat HD (AUTHOR), Muglia P (AUTHOR)
Source: Psychological Medicine. May2008, Vol. 38 Issue 5, p641-649. 9p.
Abstract: BACKGROUND: Genetic epidemiology data suggest that younger age of onset is associated with family history (FH) of depression. The present study tested whether the presence of FH for depression or anxiety in first-degree relatives determines younger age of onset for depression.MethodA sample of 1022 cases with recurrent major depressive disorder (MDD) was recruited at the Max Planck Institute and at two affiliated hospitals. Patients were assessed using the Schedules for Clinical Assessment in Neuropsychiatry and questionnaires including demographics, medical history, questions on the use of alcohol and tobacco, personality traits and life events. Survival analysis and the Cox proportional hazard model were used to determine whether FH of depression signals earlier age of onset of depression. RESULTS: Patients who reported positive FH had a significantly earlier age of onset than patients who did not report FH of depression (log-rank=48, df=1, p<0.0001). The magnitude of association of FH varies by age of onset, with the largest estimate for MDD onset before age 20 years (hazard ratio=2.2, p=0.0009), whereas FH is not associated with MDD for onset after age 50 years (hazard ratio=0.89, p=0.5). The presence of feelings of guilt, anxiety symptoms and functional impairment due to depressive symptoms appear to characterize individuals with positive FH of depression. CONCLUSIONS: FH of depression contributes to the onset of depression at a younger age and may affect the clinical features of the illness. [ABSTRACT FROM AUTHOR]
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  Data: Family history of depression is associated with younger age of onset in patients with recurrent depression.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Psychological+Medicine%22&quot;&gt;Psychological Medicine&lt;/searchLink&gt;. May2008, Vol. 38 Issue 5, p641-649. 9p.
– Name: Abstract
  Label: Abstract
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  Data: BACKGROUND: Genetic epidemiology data suggest that younger age of onset is associated with family history (FH) of depression. The present study tested whether the presence of FH for depression or anxiety in first-degree relatives determines younger age of onset for depression.MethodA sample of 1022 cases with recurrent major depressive disorder (MDD) was recruited at the Max Planck Institute and at two affiliated hospitals. Patients were assessed using the Schedules for Clinical Assessment in Neuropsychiatry and questionnaires including demographics, medical history, questions on the use of alcohol and tobacco, personality traits and life events. Survival analysis and the Cox proportional hazard model were used to determine whether FH of depression signals earlier age of onset of depression. RESULTS: Patients who reported positive FH had a significantly earlier age of onset than patients who did not report FH of depression (log-rank=48, df=1, p&lt;0.0001). The magnitude of association of FH varies by age of onset, with the largest estimate for MDD onset before age 20 years (hazard ratio=2.2, p=0.0009), whereas FH is not associated with MDD for onset after age 50 years (hazard ratio=0.89, p=0.5). The presence of feelings of guilt, anxiety symptoms and functional impairment due to depressive symptoms appear to characterize individuals with positive FH of depression. CONCLUSIONS: FH of depression contributes to the onset of depression at a younger age and may affect the clinical features of the illness. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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