A Rossi1, L Arduini, S De Cataldo, P Stratta. 1. Dipartimento di Medicina Sperimentale, Università degli Studi de L'Aquila, Via Vetoio, Coppito 2, 67100 L'Aquila. rossi.aq@tin.it
Abstract
OBJECTIVE: Aim of the study was to investigate the psychometric properties of the Italian version of the Drug Attitude Inventory (DAI) by exploring its construct validity. SETTING: 90 voluntary admitted patients with DSM III-R Schizophrenic (n.72) and Schizoaffective (n.18) disorders, age range between 18 and 50 years, treated with typical antipsychotics, able to participate in the study, were selected. DESIGN: Exploratory factor analyses with alpha factoring and maximum-likelihood methods with Varimax Rotation were used to analyse DAI scores. RESULTS: Extraction methods found 7 factors which explained 62.5% of the total variance. The first 2 factors could be labelled as "subjective response to treatment" construct and factors 3 to 7 as "attitude to medication" construct. CONCLUSION: Although preliminarily, the Italian version of the DAI seems to maintain the original psychometric properties and it can be used easily to get a valid measurement of the patients' attitude to neuroleptic medication.
OBJECTIVE: Aim of the study was to investigate the psychometric properties of the Italian version of the Drug Attitude Inventory (DAI) by exploring its construct validity. SETTING: 90 voluntary admitted patients with DSM III-R Schizophrenic (n.72) and Schizoaffective (n.18) disorders, age range between 18 and 50 years, treated with typical antipsychotics, able to participate in the study, were selected. DESIGN: Exploratory factor analyses with alpha factoring and maximum-likelihood methods with Varimax Rotation were used to analyse DAI scores. RESULTS: Extraction methods found 7 factors which explained 62.5% of the total variance. The first 2 factors could be labelled as "subjective response to treatment" construct and factors 3 to 7 as "attitude to medication" construct. CONCLUSION: Although preliminarily, the Italian version of the DAI seems to maintain the original psychometric properties and it can be used easily to get a valid measurement of the patients' attitude to neuroleptic medication.
Authors: Andrea Aguglia; Laura Fusar-Poli; Andrea Amerio; Valeria Placenti; Carmen Concerto; Giovanni Martinotti; Giuseppe Carrà; Francesco Bartoli; Armando D'Agostino; Gianluca Serafini; Mario Amore; Eugenio Aguglia; Giovanni Ostuzzi; Corrado Barbui Journal: Front Psychiatry Date: 2021-12-16 Impact factor: 4.157
Authors: Paolo A Cortesi; Claudio Mencacci; Ferrannini Luigi; Elvezio Pirfo; Patrizia Berto; Miriam C J M Sturkenboom; Fabiana L Lopes; Maria G Giustra; Lorenzo G Mantovani; Luciana Scalone Journal: BMC Psychiatry Date: 2013-03-22 Impact factor: 3.630
Authors: Felice Iasevoli; Elisabetta F Buonaguro; Massimo Marconi; Emanuela Di Giovambattista; Maria Paola Rapagnani; Domenico De Berardis; Giovanni Martinotti; Monica Mazza; Raffaele Balletta; Nicola Serroni; Massimo Di Giannantonio; Andrea de Bartolomeis; Alessandro Valchera Journal: ISRN Pharmacol Date: 2014-01-27