University of Palermo

About: University of Palermo is a education organization based out in Palermo, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 15621 authors who have published 40250 publications receiving 964384 citations. The organization is also known as: Università degli Studi di Palermo & Universita degli Studi di Palermo.

Booms and Busts in Housing Markets: Determinants and Implications

Abstract: This study looks at real estate price booms and busts in industrialised countries. It identifies major and persistent deviations from long term trends for 18 countries and estimates the probabilities of their occurrence using a Random Effects Panel Probit model over the period 1980-2007. It finds that 1) most recent housing booms have been very persistent and of a significant magnitude; 2) there appears to be a strong correlation between the persistence and magnitude of booms and subsequent busts; 3) economic costs (in terms of GDP losses during the post-boom phase) depend significantly on the magnitude and duration of the boom and money and credit developments during that period; 4) a number of policy variables, including short term interest rates, local and global money and credit developments, and the incidence of mortgage market deregulation affect significantly the probability of experiencing booms and busts; and 5) the model is quite successful in identifying booms and busts early on.

Predictors of progression from mild cognitive impairment to alzheimer disease

Abstract: Objective: To determine the occurrence of neuropsychiatric symptomatology and the relation to future development of Alzheimer disease (AD) in persons with and without mild cognitive impairment (MCI). Method: We followed 185 persons with no cognitive impairment and 47 with MCI (amnestic and multidomain), ages 75 to 95, from the population-based Kungsholmen Project, Stockholm, Sweden, for 3 years. Three types of neuropsychiatric symptoms were assessed at baseline: mood-related depressive symptoms, motivation-related depressive symptoms, and anxiety-related symptomatology. AD at 3-year follow-up was diagnosed according to Diagnostic and Statistical Manual for Mental Disorders-III-R criteria. Results: Psychiatric symptoms occurred more frequently in persons with MCI (36.2% mood, 36.2% motivation, and 46.8% anxiety symptoms) than in cognitively intact elderly individuals (18.4% mood, 13.0% motivation, and 24.9% anxiety). Of persons with both MCI and anxiety symptoms, 83.3% developed AD over follow-up vs 6.1% of cognitively intact persons and 40.9% persons who had MCI without anxiety. Among persons with MCI, the 3-year risk of progressing to AD almost doubled with each anxiety symptom (relative risk [RR] = 1.8 [1.2 to 2.7] per symptom). Conversely, among cognitively intact subjects, only symptoms of depressive mood were related to AD development (RR = 1.9 [1.0 to 3.6] per symptom). Conclusions: The predictive validity of mild cognitive impairment (MCI) for identifying future Alzheimer disease (AD) cases is improved in the presence of anxiety symptoms. Mood-related depressive symptoms (dysphoria, suicidal ideation, etc.) in preclinical AD might be related to the neuropathologic mechanism, as they appear preclinically in persons both with and without MCI.