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Dive into the research topics where Maddalena Paolini is active.

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Featured researches published by Maddalena Paolini.


Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity | 2009

Multidisciplinary approach to obesity

M. L. Donini; C. Savina; E. Castellaneta; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; C. Civale; P. Ceccarelli; S. Zaninotto; M. Tineri; G. Grossi; M. R. De Felice; Carlo Cannella

Obesity, associated with morbidity and mortality, is a complex disorder, characterised by an increase in fat mass (FM). Most authors agree in considering essential an integrated treatment made up of nutritional intervention, physical reconditioning programme and cognitive-behavioural psychotherapy. However, the feasibility is problematic and data in literature confirming the validity of this approach are poor. AIM: To verify the efficacy of a multidimensional approach (Nutritional Psycho-Physical Reconditioning — NPPR) in obesity treatment. METHODS: All patients admitted from June 2002 to June 2004 (464 subjects) ranged from 18 to 65 years old, with a body mass index (BMI) <30 kg/m2 were included in the programme. After the nutritional status evaluation a standard dietetic treatment (group N) or an integrated and multidisciplinary obesity treatment (group NPPR) was proposed. RESULTS: In group NPPR treatment duration was significantly higher (142.6±26 vs 48.6±55 days − p=0.000), while the drop-out amount was definitely lower (5.5 vs 54.4%; p=0.000). Weight loss compared to the initial weight and the difference between initial and final FM resulted significantly higher in group NNPR. Subjects in NPPR obtained a higher increase in the distance covered in a 6-minute walk test (59.9±19 vs 40.5±17 m; p=0.04) and in muscular strength. State and trait anxiety, mood and quality of life scores improved in NPPR subjects while remained substantially stable in group N. CONCLUSIONS: An integrated approach to obesity is the way to be pursued in order to obtain important and at least short-term results.


Nutrition | 2009

Predicting the outcome of artificial nutrition by clinical and functional indices.

Lorenzo M. Donini; C. Savina; Laura Maria Ricciardi; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; Maria Rosaria De Felice; Alessandro Laviano; Filippo Rossi Fanelli; Carlo Cannella

OBJECTIVE Artificial nutrition (AN) is now considered medical therapy and has progressively become one of the mainstays of the different therapeutic options available for home or hospitalized patients, including surgical, medical, and critically ill patients. The clinical relevance of any therapy is based on its efficacy and effectiveness and thus on the improvement of its cost efficiency, i.e., the ability to provide benefits to the patients with minimal wasting of human and financial resources. The aim of the present study was to identify those indices, clinical, functional, or nutritional, that may reliably predict, before the start of AN, those patients who are likely not to benefit from nutritional support. METHODS Three hundred twelve clinical charts of patients receiving AN between January 1999 and September 2006 were retrospectively examined. Data registered before starting AN were collected and analyzed: general data (age, sex), clinical conditions (comorbidity, quality of life, frailty), anthropometric and biochemical indices, type of AN treatment (total enteral nutrition, total parenteral nutrition, mixed AN), and outcome of treatment. RESULTS The percentage of negative outcomes (death or interruption of AN due to worsening clinical conditions within 10 d after starting AN) was meaningfully higher in subjects >80 y of age and with reduced social functions, higher comorbidity and/or frailty, reduced level of albumin, prealbumin, lymphocyte count, and cholinesterase and a higher level of C-reactive protein. The multivariate analysis showed that prealbumin and comorbidity were the best predictors of AN outcome. The logistic regression model with these variables showed a predictive value equal to 84.2%. CONCLUSION Proper prognostic instruments are necessary to perform optimal evaluations. The present study showed that a patients general status (i.e., comorbidity, social quality of life, frailty) and nutritional and inflammatory statuses (i.e., lymphocyte count, albumin, prealbumin, C-reactive protein) have good predictive value on the effectiveness of AN.


World Journal of Experimental Medicine | 2012

Indirect calorimetry in obese female subjects: Factors influencing the resting metabolic rate

Theresa Hagedorn; Eleonora Poggiogalle; C. Savina; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; Barbara Neri; Lorenzo M. Donini

AIM To evaluate selected factors influencing resting energy expenditure (REE) in obese female subjects. METHODS Seventy seven 61 obese Caucasian women [mean age of 52.93 ± 13.45 years, and mean body mass index (BMI) of 41.78 ± 11.54 kg/m(2)] were enrolled; measurements of resting metabolic rate (RMR) by a ventilated, open-circuit system, indirect calorimeter were performed after an overnight fast. Body composition as well as medications, physical parameters, blood samples, disease pattern, and smoking were considered. RESULTS RMR was significantly associated with body weight (r = 0.732, P < 0.001), body height (r = 0.401, P = 0.008), BMI (r = 0.504, P < 0.001), waist circumference (r = 0.602, P < 0.001), mid-upper arm circumference (r = 0.417, P = 0.006), mid-upper arm muscle circumference (r = 0.344, P = 0.028), total body water (r = 0.339, P = 0.035), body temperature (r = 0.409, P = 0.007), smoking (P = 0.031), serum T4 levels (r = 0.331, P = 0.036), obstructive sleep apnoea syndrome (OSAS; P = 0.023), impaired glucose tolerance (IGT; P = 0.017) and impaired glycaemic status, including hyperinsulinism, IGT and diabetes mellitus (P = 0.003). CONCLUSION Future research should be prompted to optimize the procedure of indirect calorimetry to achieve clinical benefits in obese subjects.


Clinical Nutrition | 2008

Improvement in the quality of the catering service of a rehabilitation hospital

Lorenzo M. Donini; E. Castellaneta; S. De Guglielmi; M.R. De Felice; C. Savina; Cecilia Coletti; Maddalena Paolini; Carlo Cannella


Journal of Nutrition Health & Aging | 2011

Predicting the outcome of long-term care by clinical and functional indices: The role of nutritional status

Lorenzo M. Donini; M. R. De Felice; C. Savina; Cecilia Coletti; Maddalena Paolini; Alessandro Laviano; Luciano Scavone; Barbara Neri; Carlo Cannella


Endocrine | 2013

Improvement in insulin resistance and favourable changes in plasma inflammatory adipokines after weight loss associated with two months’ consumption of a combination of bioactive food ingredients in overweight subjects

Mariangela Rondanelli; Annalisa Opizzi; Simone Perna; Milena Anna Faliva; Sebastiano Bruno Solerte; Marisa Fioravanti; Catherine Klersy; Edda Cava; Maddalena Paolini; Luciano Scavone; Paola Ceccarelli; Emanuela Castellaneta; C. Savina; Lorenzo M. Donini


Mediterranean Journal of Nutrition and Metabolism | 2011

Calorimetry in obese women: comparison of two different operating indirect calorimeters together with the predictive equation of Harris and Benedict

Theresa Hagedorn; C. Savina; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; Barbara Neri; Lorenzo M. Donini; Carlo Cannella


Endocrine | 2013

Erratum: Improvement in insulin resistance and favourable changes in plasma inflammatory adipokines after weight loss associated with two months' consumption of a combination of bioactive food ingredients in overweight subjects (Endocrine DOI: 10.1007/s12020-012-9863-0)

Mariangela Rondanelli; Annalisa Opizzi; Simone Perna; Milena Anna Faliva; Sebastiano Bruno Solerte; Marisa Fioravanti; Catherine Klersy; Edda Cava; Maddalena Paolini; Luciano Scavone; Paola Ceccarelli; Emanuela Castellaneta; C. Savina; Lorenzo M. Donini


Mediterranean Journal of Nutrition and Metabolism | 2009

Sagittal abdominal diameter: comparison with waist circumference and its prediction of metabolic syndrome

Lorenzo M. Donini; Luciano Scavone; C. Savina; Cecilia Coletti; Maddalena Paolini; Settimio Tempera; Barbara Neri; Maria Rosaria De Felice; Alessandro Pinto; Carlo Cannella


Nutritional therapy & metabolism | 2012

Predicting enteral nutrition-associated diarrhea with easily available clinical and biochemical parameters

Laura Maria Ricciardi; C. Savina; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; Maria Rosaria De Felice; Alessandro Laviano; Filippo Rossi Fanelli; Lorenzo M. Donini; Carlo Cannella

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C. Savina

Sapienza University of Rome

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Cecilia Coletti

Sapienza University of Rome

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Luciano Scavone

Sapienza University of Rome

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Carlo Cannella

Sapienza University of Rome

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Lorenzo M. Donini

Sapienza University of Rome

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Barbara Neri

Sapienza University of Rome

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Alessandro Laviano

Sapienza University of Rome

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