Domenico Viola
University of Bari
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Publication
Featured researches published by Domenico Viola.
International Journal of Cardiology | 2014
Vito Leonardo Miniello; Maria Felicia Faienza; Pietro Scicchitano; Francesca Cortese; Michele Gesualdo; Annapaola Zito; Marina Basile; Pasquale Recchia; Domenico Leogrande; Domenico Viola; Paola Giordano; Marco Matteo Ciccone
AIMS Insulin resistance (IR) impairs cellular response to insulin due to a dysfunction in glucose metabolism, associated with an increased cardiovascular risk. The aim of our study was to investigate the relationship among homeostasis model assessment index (HOMA index), endothelial function and vascular morphology in order to better stratify cardiovascular risk in children and adolescents. METHODS A total of 150 children and adolescents (55 pre-pubertal, mean age 10.4 ± 3.1 years) were enrolled. Anthropometric [body mass index (BMI), waist circumference (WC)], laboratory [blood lipids, inflammatory markers, insulinemia, glycemia], HOMA index and ultrasound parameters [flow-mediated dilatation (FMD), common carotid intima-media thickness (cIMT) and antero-posterior diameter of infra-renal abdominal aorta (APAO)] were assessed. RESULTS cIMT was positively related to age (r=0.274, p<0.01), BMI (r=0.318, p<0.01), WC (r=0.315, p<0.01) and triglycerides (r=0.230, p<0.01). APAO measurements showed a linear positive correlation with age (r=0.435, p<0.01), BMI (r=0.505, p<0.01), WC (r=0.487, p<0.01), triglycerides (r=0.280, p<0.01), C-reactive protein (r=0.209, p<0.05), fasting insulin (r=0.378, p<0.01) and HOMA index (r=0.345, p<0.01). FMD was inversely related to age (r=-0.251, p<0.01), rough BMI (r=-0.318, p<0.01), WC (r=-0.340, p<0.01), fasting insulin (r=-0.281, p<0.01) and HOMA index (r=-0.282, p<0.01). Multiple regression analysis found no influence of HOMA index on APAO and cIMT. HOMA index was an independent predictor for brachial artery FMD worsening after the statistical adjustment. CONCLUSION HOMA index increase induced a worsening in endothelial function since childhood.
Journal of Atherosclerosis and Thrombosis | 2016
Marco Matteo Ciccone; Maria Felicia Faienza; Maria Altomare; Carmela Nacci; Monica Montagnani; Federica Valente; Francesca Cortese; Michele Gesualdo; Annapaola Zito; Rossana Mancarella; Domenico Leogrande; Domenico Viola; Pietro Scicchitano; Paola Giordano
AIM Although the underlined mechanisms are still unknown, metabolic/coagulation alterations related to childhood obesity can induce vascular impairments. The aim of this study was to investigate the relationship between metabolic/coagulation parameters and endothelial function/vascular morphology in overweight/obese children. METHODS Thirty-five obese/overweight children (22 pre-pubertal, mean age: 9.52±3.35 years) were enrolled. Body mass index (BMI), homeostasis model assessment index (HOMAIR), metabolic and coagulation parameters, [adiponectin, fibrinogen, high molecular weight adiponectin (HMW), endothelin-1, and vonWillebrand factor antigen] ultrasound early markers of atherosclerosis [flow-mediated dilatation (FMD), common carotid intima-media thickness (C-IMT), and anteroposterior diameter of infra-renal abdominal aorta (APAO)] were assessed. RESULTS APAO was related to anthropometric (age: r=0.520, p=0.001; height: r=0.679, p<0.001; weight: r=0.548, p=0.001; BMI: r=0.607, p<0.001; SBP: r=0.377, p=0.026) and metabolic (HOMAIR: r=0.357, p=0.035; HMW: r=-0.355, p=0.036) parameters. Age, height, and systolic blood pressure were positively related to increased C-IMT (r=0.352, p=0.038; r=0.356, p=0.036; r=0.346, p=0.042, respectively). FMD was not related to any clinical and biochemical characteristics of the pediatric population. Age, HOMAIR, fasting glucose levels, and HMW were independent predictors for APAO increase. Each unit decrease in HMW concentrations (1 μg/ml) induced a 0.065 mm increase in APAO. CONCLUSION High molecular weight adiponectin is related to cardiovascular risk in overweight/obese children.
Procedia. Economics and finance | 2014
Francesco Domenico d’Ovidio; Domenico Leogrande; Rossana Mancarella; Andrea Schinzano; Domenico Viola
Abstract The purpose of this study is to investigate what kind of observable and non-observable factors can influence passenger satisfaction on the quality of public transport services in a local context. Of course, these results can be used by the transport company in order to modify its business strategies and to improve its business performance. Relationships among latent dimensions (such as quality, satisfaction and loyalty) are first defined on the basis of a sample survey through suitable statistical measuring techniques (Factor Analysis with Categorical Principal Component Analysis). Then, multivariate methods of classification (Segmentation Analysis and Cluster Analysis), are used in order to explore the characteristics of the customers and their quality perception.
Clinical Otolaryngology | 2018
Marco Matteo Ciccone; Pietro Scicchitano; Michele Gesualdo; Francesca Cortese; Annapaola Zito; Fabio Manca; Barbara Boninfante; Pasquale Recchia; Domenico Leogrande; Domenico Viola; Marialessia Damiani; Valeria Gambacorta; Antonio Piccolo; Vincenzo De Ceglie; Nicola Quaranta
To evaluate the influence of cerebral venous drainage on the pathogenesis of idiopathic sudden sensorineural hearing loss (ISSHL) and Ménière syndrome (MD).
Archive | 2017
Laura Antonucci; Marina Basile; Corrado Crocetta; Viviana D’Addosio; Francesco Domenico d’Ovidio; Domenico Viola
Educational websites were studied from many different perspectives. In 2001, Zhang and von Dran developed a theoretical framework for evaluating website quality from a user satisfaction perspective, while Yoo and Jin in 2004 evaluated the design of university websites. In this paper, we assess the quality perceived by the users of the website of the University of Bari using factorial analysis and multiple correspondences analysis (MCA) visual maps. Latent variables resulting from this preliminary analysis were then used to evaluate the most important latent dimensions related to loyalty of the users. A segmentation analysis was performed to study how loyalty is influenced by variables and factors.
“IES 2017 – Innovation & Society - Statistical Methods for Evaluation and Quality” | 2017
Laura Antonucci; Corrado Crocetta; Francesco dOvidio; Domenico Viola
decision support systems | 2016
Sabrina Spallini; Domenico Viola; Domenico Leogrande; Valentina Anna De Maria
International Conference IES 2015 Statistical methods for service assessment | 2015
Domenico Viola; Leonardo Mariella; Fabio Manca
International Conference IES 2015 | 2015
S. Spallini; Domenico Viola; Domenico Leogrande; V. A. De Maria
INTERDISPLINARY JOURNAL OF RESEARCH AND DEVELOPMENT | 2014
Francesco Domenico D'Ovidio; Domenico Leogrande; Rossana Mancarella; Domenico Viola