European Psychiatry - Volume 41 - April 2017

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25th European Congress of Psychiatry / European Psychiatry 41S (2017) S170–S237 S173
faster change from ‘now driving’ state to ‘driving cessation’ state
over time in the elderly (ˇ = –0.508, P < 0.001).
Conclusion In both cross-sectional and longitudinal aspects, the
degree of WMH might be one of the predictive factors for driv-
ing cessation in the elderly, reflecting both motor and cognitive
functions or independently.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0197
Swallowing disturbances and
psychiatric profile in older adults:
The GreatAGE study
M. Lozupone ∗, A. Leo , R. Sardone , F. Veneziani ,
C. Bonfiglio , I. Galizia , L. Lofano , A. Grasso , M. Tursi ,
M.R. Barulli , R. Capozzo , R. Tortelli , F. Panza , D. Seripa ,
A.R. Osella , G. Logroscino
1 University of Bari, Department of Basic Medicine, Neuroscience,
Sense Organs, Bari, Italy
2 Laboratory of Epidemiology and Biostatistics, Istituto di ricerca e
cura a carattere scientifico “S. De Bellis”, Castellana Grotte, Italy
3 Pia Fondazione Cardinale G. Panico, Department of Clinical
Research in Neurology, Tricase, Lecce, Italy
4 Geriatric Unit & Laboratory of Gerontology and Geriatrics,
Department of Medical Sciences, IRCCS “Casa Sollievo della
Sofferenza”, San Giovanni Rotondo, Foggia, Italy
∗ Corresponding author.
Introduction Several studies have reported controversial links
between swallowing disturbances (SD) and psychiatric disorders
in older age. The available data on the epidemiology of SD in the
general population are scarce and often conflicting, because of
numerous methodological factors source of possible counfounders.
Objectives We aimed to screen the presence of psychiatric and
cognitive disorders associated with SD in a random sampling of the
general population ≥ 65.
Methods A sample of 1127 elderly individuals collected in a
population-based study (GreatAGE) in Castellana Grotte (53,50%
males, mean age 74.1 ± 6.3 years), South-East Italy, were mailed a
validated self-report questionnaire to assess SD (Eating Assessment
Tool-EAT10). Psychiatric disorders and symptoms [assessed with
Semi-structured Clinical Diagnostic Interview for DSM-IV-TR Axis
I Disorders, Geriatric Depression Scale-30 (GDS-30) and Symptom
Checklist Revised-90 (SCL-90R)], cognitive functions were assessed
with a comprehensive neuropsychological battery, neurological
exam, and demographics were compared in participants with and
without SD using t-tests and Mann–Whitney U-test.
Results The prevalence rates of SDamounted at 5.97%. Psychiatric
diagnosis (24.22% of the sample) was statistically significant asso-
ciated with SD (EAT ≥ 3, P = 0.038), and a trend was found for major
depressive disorder and generalized anxiety disorder. Among SCL-
90R domains, only anxiety showed a significant association with
EAT ≥ 3 (P = 0.006). GDS-30 score was found to be higher in sub-
jects with SD (P = 0.008). Cognitive functions did not differ between
the two groups except for an increasing trend for Clinical Dementia
Rating Scale in EAT ≥ 3 (P = 0.058).
Conclusions These preliminary results showed an association
between SD in older age and late-life major depression and anxiety
disorders.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0198
Educational level influenced the gold
standard diagnosis of late-life
depression in the GreatAGE study
M. Lozupone ∗, F. Veneziani , L. Lofano , I. Galizia , E. Stella ,
M. Copetti , S. Arcuti , A. Leo , R. Sardone , A. Grasso ,
M. Tursi , M.R. Barulli , R. Tortelli , R. Capozzo , F. Panza ,
D. Seripa , C. Bonfiglio , A.R. Osella , G. Logroscino
1 University of Bari, Department of Basic Medicine, Neuroscience,
Sense Organs, Bari, Italy
2 University of Foggia, Department of Clinical and Experimental
Medicine, Foggia, Italy
3 IIRCCS “Casa Sollievo della Sofferenza”, Unit of Biostatistics, San
Giovanni Rotondo, Foggia, Italy
4 Pia Fondazione Cardinale G. Panico”, Department of Clinical
Research in Neurology, University of Bari Aldo Moro, Tricase, Lecce,
Italy
5 IIRCCS “Casa Sollievo della Sofferenza”, Geriatric Unit & Laboratory
of Gerontology and Geriatrics, Department of Medical Sciences, San
Giovanni Rotondo, Foggia, Italy
6 IRCCS “S. De Bellis”, Laboratory of Epidemiology and Biostatistics,
Castellana Grotte, Bari, Italy
∗ Corresponding author.
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 cog-
nitive variables that could potentially influence the accuracy of
clinician rated depression.
Objective To compare the diagnostic accuracy of two instru-
ments 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 standard-
ized neuropsychological battery was used to assess MCI, SMC and
depressive symptoms (GDS-30). Depressive syndromes were diag-
nosed 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 disor-
ders 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 lev-
els of screening accuracy for subjects with normal cognition rather
than for SMC (AUC 0.792 vs. 0.692); educational attainment possi-
bly may modulate diagnostic clinician performance.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.