Hostname: page-component-7479d7b7d-t6hkb Total loading time: 0 Render date: 2024-07-11T15:02:28.740Z Has data issue: false hasContentIssue false

Educational level influenced the gold standard diagnosis of late-life depression in the GreatAGE study

Published online by Cambridge University Press:  23 March 2020

M. Lozupone
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
F. Veneziani
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
L. Lofano
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
I. Galizia
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
E. Stella
Affiliation:
University of Foggia, Department of Clinical and Experimental Medicine, Foggia, Italy
M. Copetti
Affiliation:
IIRCCS “Casa Sollievo della Sofferenza”, Unit of Biostatistics, San Giovanni Rotondo, Foggia, Italy
S. Arcuti
Affiliation:
IIRCCS “Casa Sollievo della Sofferenza”, Unit of Biostatistics, San Giovanni Rotondo, Foggia, Italy
A. Leo
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
R. Sardone
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
A. Grasso
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
M. Tursi
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
M.R. Barulli
Affiliation:
Pia Fondazione Cardinale G. Panico”, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Tricase, Lecce, Italy
R. Tortelli
Affiliation:
Pia Fondazione Cardinale G. Panico”, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Tricase, Lecce, Italy
R. Capozzo
Affiliation:
Pia Fondazione Cardinale G. Panico”, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Tricase, Lecce, Italy
F. Panza
Affiliation:
University of Bari, Department of Basic Medicine, Neuroscience, Sense Organs, Bari, Italy
D. Seripa
Affiliation:
IIRCCS “Casa Sollievo della Sofferenza”, Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, San Giovanni Rotondo, Foggia, Italy
C. Bonfiglio
Affiliation:
IRCCS “S. De Bellis”, Laboratory of Epidemiology and Biostatistics, Castellana Grotte, Bari, Italy
A.R. Osella
Affiliation:
IRCCS “S. De Bellis”, Laboratory of Epidemiology and Biostatistics, Castellana Grotte, Bari, Italy
G. Logroscino
Affiliation:
Pia Fondazione Cardinale G. Panico”, Department of Clinical Research in Neurology, University of Bari Aldo Moro, Tricase, Lecce, Italy

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

The validity of the 30-item Geriatric Depression Scale (GDS-30) in detecting late-life depression (LLD) requires a certain level of cognitive functioning. Further research is needed in population-based setting on other socio-demographic and cognitive variables that could potentially influence the accuracy of clinician rated depression.

Objective

To compare the diagnostic accuracy of two instruments used to assess depressive disorders [(GDS-30) and the Semi-structured Clinical Diagnostic Interview for DSM-IV-TR Axis I Disorders (SCID)] among three groups with different levels of cognitive functioning (normal, Mild Cognitive Impairment – MCI, Subjective Memory Complain – SMC) in a random sampling of the general population 65+ years.

Methods

The sample, collected in a population-based study (GreatAGE Study) among the older residents of Castellana Grotte, South-East Italy, included 844 subjects (54.50% males). A standardized neuropsychological battery was used to assess MCI, SMC and depressive symptoms (GDS-30). Depressive syndromes were diagnosed through the SCID IV-TR. Socio-demographic and cognitive variables were taken into account in influencing SCID performance.

Results

According to the SCID, the rate of depressive disorders was 12.56%. At the optimal cut-off score (≥ 4), GDS-30 had 65.1% sensitivity and 68.4% specificity in diagnosing depressive symptoms. Using a more conservative cut-off (≥ 10), the GDS-30 specificity reached 91.1% while sensitivity dropped to 37,7%. The three cognitive subgroups did not differ in the rate of depression diagnosis. Educational level is the only variable associated to the SCID diagnostic performance (P = 0.015).

Conclusions

At the optimal cut-off, GDS-30 identified lower levels of screening accuracy for subjects with normal cognition rather than for SMC (AUC 0.792 vs. 0.692); educational attainment possibly may modulate diagnostic clinician performance.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
e-Poster walk: Old-age psychiatry
Copyright
Copyright © European Psychiatric Association 2017
Submit a response

Comments

No Comments have been published for this article.