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Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder.

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Title: Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder.
Authors: Bot, M., Middeldorp, C. M., de Geus, E. J. C., Lau, H. M., Sinke, M., van Nieuwenhuizen, B., Smit, J. H., Boomsma, D. I., Penninx, B. W. J. H.
Source: Psychological Medicine. Jan2017, Vol. 47 Issue 2, p279-289. 11p.
Subjects: Diagnosis of mental depression, Questionnaires, Comparative studies, Confidence intervals, Mental depression, Internet, Research methodology, Classification of mental disorders, Self-evaluation, Disease prevalence, Research methodology evaluation
Geographic Terms: Netherlands
Abstract: BackgroundThere is a paucity of valid, brief instruments for the assessment of lifetime major depressive disorder (MDD) that can be used in, for example, large-scale genomics, imaging or biomarker studies on depression. We developed the LIfetime Depression Assessment Self-report (LIDAS), which assesses lifetime MDD diagnosis according to DSM criteria, and is largely based on the widely used Composite International Diagnostic Interview (CIDI). Here, we tested the feasibility and determined the sensitivity and specificity for measuring lifetime MDD with this new questionnaire, with a regular CIDI as reference.MethodSensitivity and specificity analyses of the online lifetime MDD questionnaire were performed in adults with (n = 177) and without (n = 87) lifetime MDD according to regular index CIDIs, selected from the Netherlands Study of Depression and Anxiety (NESDA) and Netherlands Twin Register (NTR). Feasibility was tested in an additional non-selective, population-based sample of NTR participants (n = 245).ResultsOf the 753 invited persons, 509 (68%) completed the LIDAS, of which 419 (82%) did this online. User-friendliness of the instrument was rated high. Median completion time was 6.2 min. Sensitivity and specificity for lifetime MDD were 85% [95% confidence interval (CI) 80–91%] and 80% (95% CI 72–89%), respectively. This LIDAS instrument gave a lifetime MDD prevalence of 20.8% in the population-based sample.ConclusionsMeasuring lifetime MDD with an online instrument was feasible. Sensitivity and specificity were adequate. The instrument gave a prevalence of lifetime MDD in line with reported population prevalences. LIDAS is a promising tool for rapid determination of lifetime MDD status in large samples, such as needed for genomics studies. [ABSTRACT FROM AUTHOR]
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'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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder.
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  Data: <searchLink fieldCode="AR" term="%22Bot%2C+M%2E%22">Bot, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Middeldorp%2C+C%2E+M%2E%22">Middeldorp, C. M.</searchLink><br /><searchLink fieldCode="AR" term="%22de+Geus%2C+E%2E+J%2E+C%2E%22">de Geus, E. J. C.</searchLink><br /><searchLink fieldCode="AR" term="%22Lau%2C+H%2E+M%2E%22">Lau, H. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Sinke%2C+M%2E%22">Sinke, M.</searchLink><br /><searchLink fieldCode="AR" term="%22van+Nieuwenhuizen%2C+B%2E%22">van Nieuwenhuizen, B.</searchLink><br /><searchLink fieldCode="AR" term="%22Smit%2C+J%2E+H%2E%22">Smit, J. H.</searchLink><br /><searchLink fieldCode="AR" term="%22Boomsma%2C+D%2E+I%2E%22">Boomsma, D. I.</searchLink><br /><searchLink fieldCode="AR" term="%22Penninx%2C+B%2E+W%2E+J%2E+H%2E%22">Penninx, B. W. J. H.</searchLink>
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  Data: BackgroundThere is a paucity of valid, brief instruments for the assessment of lifetime major depressive disorder (MDD) that can be used in, for example, large-scale genomics, imaging or biomarker studies on depression. We developed the LIfetime Depression Assessment Self-report (LIDAS), which assesses lifetime MDD diagnosis according to DSM criteria, and is largely based on the widely used Composite International Diagnostic Interview (CIDI). Here, we tested the feasibility and determined the sensitivity and specificity for measuring lifetime MDD with this new questionnaire, with a regular CIDI as reference.MethodSensitivity and specificity analyses of the online lifetime MDD questionnaire were performed in adults with (n = 177) and without (n = 87) lifetime MDD according to regular index CIDIs, selected from the Netherlands Study of Depression and Anxiety (NESDA) and Netherlands Twin Register (NTR). Feasibility was tested in an additional non-selective, population-based sample of NTR participants (n = 245).ResultsOf the 753 invited persons, 509 (68%) completed the LIDAS, of which 419 (82%) did this online. User-friendliness of the instrument was rated high. Median completion time was 6.2 min. Sensitivity and specificity for lifetime MDD were 85% [95% confidence interval (CI) 80–91%] and 80% (95% CI 72–89%), respectively. This LIDAS instrument gave a lifetime MDD prevalence of 20.8% in the population-based sample.ConclusionsMeasuring lifetime MDD with an online instrument was feasible. Sensitivity and specificity were adequate. The instrument gave a prevalence of lifetime MDD in line with reported population prevalences. LIDAS is a promising tool for rapid determination of lifetime MDD status in large samples, such as needed for genomics studies. [ABSTRACT FROM AUTHOR]
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  Data: <i>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'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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        Value: 10.1017/S0033291716002312
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        Text: English
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      – SubjectFull: Diagnosis of mental depression
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      – SubjectFull: Questionnaires
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      – SubjectFull: Comparative studies
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      – SubjectFull: Confidence intervals
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              Text: Jan2017
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