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Item type:Publication, Global Perceptions and Utilization of Clinical Neurophysiology in Movement Disorders(2024)Scopus© Citations 6 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hypoglycemia and glycemic variability of people with type 1 diabetes with lower and higher physical activity loads in free-living conditions using continuous subcutaneous insulin infusion with predictive low-glucose suspend system(2023); María Teresa Onetto<jats:sec><jats:title>Introduction</jats:title><jats:p>Maintaining glycemic control during and after physical activity (PA) is a major challenge in type 1 diabetes (T1D). This study compared the glycemic variability and exercise-related diabetic management strategies of adults with T1D achieving higher and lower PA loads in nighttime–daytime and active– sedentary behavior hours in free-living conditions.</jats:p></jats:sec><jats:sec><jats:title>Research design and methods</jats:title><jats:p>Active adults (n=28) with T1D (ages: 35±10 years; diabetes duration: 21±11 years; body mass index: 24.8±3.4 kg/m<jats:sup>2</jats:sup>; glycated hemoglobin A1c: 6.9±0.6%) on continuous subcutaneous insulin delivery system with predictive low glucose suspend system and glucose monitoring, performed different types, duration and intensity of PA under free-living conditions, tracked by accelerometer over 14 days. Participants were equally divided into lower load (LL) and higher load (HL) by median of daily counts per minute (61122). Glycemic variability was studied monitoring predefined time in glycemic ranges (time in range (TIR), time above range (TAR) and time below range (TBR)), coefficient of variation (CV) and mean amplitude of glycemic excursions (MAGE). Parameters were studied in defined hours timeframes (nighttime–daytime and active–sedentary behavior). Self-reported diabetes management strategies were analysed during and post-PA.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Higher glycemic variability (CV) was observed in sedentary hours compared with active hours in the LL group (p≤0.05). HL group showed an increment in glycemic variability (MAGE) during nighttime versus daytime (p≤0.05). There were no differences in TIR and TAR across all timeframes between HL and LL groups. The HL group had significantly more TBR during night hours than the LL group (p≤0.05). Both groups showed TBR above recommended values. All participants used fewer post-PA management strategies than during PA (p≤0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Active people with T1D are able to maintain glycemic variability, TIR and TAR within recommended values regardless of PA loads. However, the high prevalence of TBR and the less use of post-PA management strategies highlights the potential need to increase awareness on actions to avoid glycemic excursions and hypoglycemia after exercise completion.</jats:p></jats:sec>2Scopus© Citations 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Electrophysiological Characterization of a <scp><i>MYH7</i></scp> Variant with Tremor Phenotype(2023); Scopus© Citations 2 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Differentiation of the motor cost associated with cognitive tasks in Parkinson's disease: A dual‐task study(2022)12Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to do an electrophysiological study of tremor(2019); Scopus© Citations 98 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How Do I Assess Tremor Using Novel Technology?(2019); 25Scopus© Citations 9