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Your search keyword '"Mangoni di Santo Stefano, Giuseppe Salvatore R. C."' showing total 3 results
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3 results on '"Mangoni di Santo Stefano, Giuseppe Salvatore R. C."'

1. Effectiveness of Smartphone App for the Treatment of Pediatric Obesity: A Randomized Controlled Trial.

Author

Umano, Giuseppina Rosaria, Masino, Mariapia, Cirillo, Grazia, Rondinelli, Giulia, Massa, Francesca, Mangoni di Santo Stefano, Giuseppe Salvatore R. C., Di Sessa, Anna, Marzuillo, Pierluigi, Miraglia del Giudice, Emanuele, and Buono, Pietro

Subjects
EDUCATION of parents, PATIENT education, MOBILE apps, WEIGHT loss, BEHAVIOR modification, BODY mass index, DATA analysis, RESEARCH funding, ACADEMIC medical centers, EDUCATIONAL outcomes, STATISTICAL sampling, FISHER exact test, MULTIPLE regression analysis, RANDOMIZED controlled trials, DESCRIPTIVE statistics, MANN Whitney U Test, CHI-squared test, TELEMEDICINE, ODDS ratio, LONGITUDINAL method, HEALTH behavior, STATISTICS, FAMILY-centered care, CHILDHOOD obesity, COUNSELING, COMPARATIVE studies, CONFIDENCE intervals, DATA analysis software, DIET, PHYSICAL activity
Abstract

Background: Pediatric obesity treatment is based on high-intensity lifestyle counseling. However, high dropout rates and low effectiveness have been reported, even in specialized centers. Mobile health technologies have been used to overcome these limits with contrasting results. This study aims at evaluating the effectiveness of a six-month intervention with a mobile app for the treatment of pediatric obesity at 6 and 12 months of follow-up. Methods: Seventy-five patients were randomly assigned to standard care or standard care plus mobile app (2:1) using an online randomizer system. The mobile app delivered high-intensity lifestyle counseling for diet and physical activity. Results: At six months of follow-up, the M-App group showed significantly lower dropout rates compared to standard care (p = 0.01). The risk of dropout was significantly higher in controls compared to the intervention group (OR 3.86, 95% C.I. 1.39–10.42, p = 0.01). After one year, we observed lower albeit non-statistically significant dropout rates in the M-App compared to the standard care group (p = 0.24). No differences were observed in z-score BMI and percentage of BMI reduction between the two groups. Conclusions: Our findings suggest that the mobile app might help in the clinical management of children and adolescents with obesity in terms of dropout reduction. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Pediatric Sleep Questionnaire Predicts Moderate-to-Severe Obstructive Sleep Apnea in Children and Adolescents with Obesity

Author

Umano, Giuseppina Rosaria, primary, Rondinelli, Giulia, additional, Luciano, Margherita, additional, Pennarella, Alessandro, additional, Aiello, Francesca, additional, Mangoni di Santo Stefano, Giuseppe Salvatore R. C., additional, Di Sessa, Anna, additional, Marzuillo, Pierluigi, additional, Papparella, Alfonso, additional, and Miraglia del Giudice, Emanuele, additional

Published
2022
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3. Pediatric Sleep Questionnaire Predicts Moderate-to-Severe Obstructive Sleep Apnea in Children and Adolescents with Obesity

Author

Giuseppina Rosaria Umano, Giulia Rondinelli, Margherita Luciano, Alessandro Pennarella, Francesca Aiello, Giuseppe Salvatore R. C. Mangoni di Santo Stefano, Anna Di Sessa, Pierluigi Marzuillo, Alfonso Papparella, Emanuele Miraglia del Giudice, Umano, Giuseppina Rosaria, Rondinelli, Giulia, Luciano, Margherita, Pennarella, Alessandro, Aiello, Francesca, Mangoni di Santo Stefano, Giuseppe Salvatore R C, Di Sessa, Anna, Marzuillo, Pierluigi, Papparella, Alfonso, and Miraglia Del Giudice, Emanuele

Subjects
OSA, pediatric sleep questionnaire, obesity, children and adolescents, screening, Pediatrics, Perinatology and Child Health, children and adolescent
Abstract

Pediatric obesity is associated with an increased risk of morbidity during childhood. Alongside the well-known metabolic syndrome, during the last decades scientific research has deeply investigated the risk of sleep breathing disorders. Among them, obstructive sleep apnea (OSA) commonly affects children with obesity. The presence of OSA heightens the risk of metabolic impairment and weight gain. Therefore, it deserves specific treatment. However, polysomnography (PSG) is not always available in clinical settings, and alternative diagnostic tools are needed. This study aimed to investigate the predictivity of the pediatric sleep questionnaire (PSQ) for moderate-to-severe OSA diagnosis. Children and adolescents with obesity and suspected OSA with available full-night cardiorespiratory PSG were retrospectively enrolled. Receiver operating curve analysis was performed to test the ability of PSQ in predicting moderate-to-severe OSA (AHI > 5 episode/h). The final sample included 60 children and adolescents. The PSQ showed a good area under the curve (AUC) of 0.88 (95% CI 0.78–0.98, p < 0.0001). Moreover, a value above or equal to 0.65 showed an 80% sensitivity and 100% specificity for moderate and severe OSA. These findings suggest that PSQ might be used in clinical settings with limited access to PSG for stratifying disease severity and for selecting children with urgent need of sleep study.

Published
2022

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