Literature DB >> 27702414

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

M Bot1, C M Middeldorp2, E J C de Geus3, H M Lau1, M Sinke3, B van Nieuwenhuizen3, J H Smit1, D I Boomsma2, B W J H Penninx1.   

Abstract

BACKGROUND: There 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.
METHOD: Sensitivity 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).
RESULTS: Of 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.
CONCLUSIONS: Measuring 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.

Entities:  

Keywords:  Composite International Diagnostic Interview; lifetime depression; major depressive disorder; online questionnaires

Mesh:

Year:  2016        PMID: 27702414     DOI: 10.1017/S0033291716002312

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  11 in total

1.  Measurement and genetic architecture of lifetime depression in the Netherlands as assessed by LIDAS (Lifetime Depression Assessment Self-report).

Authors:  Iryna O Fedko; Jouke-Jan Hottenga; Quinta Helmer; Hamdi Mbarek; Floris Huider; Najaf Amin; Joline W Beulens; Marijke A Bremmer; Petra J Elders; Tessel E Galesloot; Lambertus A Kiemeney; Hanna M van Loo; H Susan J Picavet; Femke Rutters; Ashley van der Spek; Anne M van de Wiel; Cornelia van Duijn; Eco J C de Geus; Edith J M Feskens; Catharina A Hartman; Albertine J Oldehinkel; Jan H Smit; W M Monique Verschuren; Brenda W J H Penninx; Dorret I Boomsma; Mariska Bot
Journal:  Psychol Med       Date:  2020-02-27       Impact factor: 7.723

2.  Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system.

Authors:  Miruna C Barbu; Floris Huider; Archie Campbell; Carmen Amador; Mark J Adams; Mary-Ellen Lynall; David M Howard; Rosie M Walker; Stewart W Morris; Jenny Van Dongen; David J Porteous; Kathryn L Evans; Edward Bullmore; Gonneke Willemsen; Dorret I Boomsma; Heather C Whalley; Andrew M McIntosh
Journal:  Mol Psychiatry       Date:  2021-12-08       Impact factor: 13.437

3.  Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study.

Authors:  Marco Helbich
Journal:  BMJ Open       Date:  2019-08-10       Impact factor: 2.692

4.  Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol.

Authors:  F Matcham; C Barattieri di San Pietro; V Bulgari; G de Girolamo; R Dobson; H Eriksson; A A Folarin; J M Haro; M Kerz; F Lamers; Q Li; N V Manyakov; D C Mohr; I Myin-Germeys; V Narayan; Penninx Bwjh; Y Ranjan; Z Rashid; A Rintala; S Siddi; S K Simblett; T Wykes; M Hotopf
Journal:  BMC Psychiatry       Date:  2019-02-18       Impact factor: 3.630

5.  Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies.

Authors:  I Schwabe; Y Milaneschi; Z Gerring; P F Sullivan; E Schulte; N P Suppli; J G Thorp; E M Derks; C M Middeldorp
Journal:  Psychol Med       Date:  2019-09-27       Impact factor: 7.723

6.  Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial.

Authors:  Katie M White; Faith Matcham; Daniel Leightley; Ewan Carr; Pauline Conde; Erin Dawe-Lane; Yatharth Ranjan; Sara Simblett; Claire Henderson; Matthew Hotopf
Journal:  JMIR Res Protoc       Date:  2021-12-21

7.  Major Depressive Disorder and Lifestyle: Correlated Genetic Effects in Extended Twin Pedigrees.

Authors:  Floris Huider; Yuri Milaneschi; Matthijs D van der Zee; Eco J C de Geus; Quinta Helmer; Brenda W J H Penninx; Dorret I Boomsma
Journal:  Genes (Basel)       Date:  2021-09-26       Impact factor: 4.096

8.  The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones.

Authors:  Petroula Laiou; Dzmitry A Kaliukhovich; Amos A Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Shaoxiong Sun; Yuezhou Zhang; Faith Matcham; Alina Ivan; Grace Lavelle; Sara Siddi; Femke Lamers; Brenda Wjh Penninx; Josep Maria Haro; Peter Annas; Nicholas Cummins; Srinivasan Vairavan; Nikolay V Manyakov; Vaibhav A Narayan; Richard Jb Dobson; Matthew Hotopf
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-28       Impact factor: 4.773

9.  Association between adolescent oral contraceptive use and future major depressive disorder: a prospective cohort study.

Authors:  Christine Anderl; Anouk E de Wit; Erik J Giltay; Albertine J Oldehinkel; Frances S Chen
Journal:  J Child Psychol Psychiatry       Date:  2021-07-12       Impact factor: 8.265

10.  Promotion of mental health in young adults via mobile phone app: study protocol of the ECoWeB (emotional competence for well-being in Young adults) cohort multiple randomised trials.

Authors:  A Newbold; F C Warren; R S Taylor; C Hulme; S Burnett; B Aas; C Botella; F Burkhardt; T Ehring; J R J Fontaine; M Frost; A Garcia-Palacios; E Greimel; C Hoessle; A Hovasapian; Vei Huyghe; J Lochner; G Molinari; R Pekrun; B Platt; T Rosenkranz; K R Scherer; K Schlegel; G Schulte-Korne; C Suso; V Voigt; E R Watkins
Journal:  BMC Psychiatry       Date:  2020-09-22       Impact factor: 3.630

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