Objective: The aim: To study the effect of therapeutic intervention on the improvement of the rhythmicity of non-nutritive and nutritive sucking in premature newborns and on the suck central pattern generator.
Patients And Methods: Material and methods: Stimulation of the breast zone was performed in two premature newborns by means of the Vojta method. Intraoral pressure was measured during non-nutritive and nutritive sucking before and after this therapeutic intervention. The maximum negative pressures generated during individual sucks and the intervals between sucks were analysed.
Results: Results: The stimulation of the breast zone using the Vojta method seems to have no impact on the duration of individual sucking episodes. However, a significant improvement in the rhythmicity and regularity of sucking was observed in both newborns: the coefficient of quartile deviation for the intervals decreased from 15% and 11% to 13% and 6%, respectively, and for the maximum negative pressures it decreased from 24% and 27% to 9% and 19%, respectively. Additionally, the median value of the maximum negative pressure decreased in both newborns: from -39 and -37 mmHg to -45 and -60 mmHg, respectively.
Conclusion: Conclusions: The stimulation of the breast zone using the Vojta method seems to have a direct impact on the central pattern generator, which improves the rhythmicity as well as the regularity of both non-nutritive and nutritive sucking.
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http://dx.doi.org/10.34763/devperiodmed.20192303.178183 | DOI Listing |
Med Phys
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Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
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Ann Surg Oncol
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Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Clin Pharmacokinet
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Facultés de Médecine et de Pharmacie de Lyon, Univ Lyon, Université Claude Bernard Lyon 1, Lyon, France.
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Int J Obes (Lond)
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Department of Gastroenterology and Hepatology, University of Illinois College of Medicine, Peoria, IL, USA.
Background And Aim: Managing obesity requires a comprehensive approach that involves therapeutic lifestyle changes, medications, or metabolic surgery. Many patients seek health information from online sources and artificial intelligence models like ChatGPT, Google Gemini, and Microsoft Copilot before consulting health professionals. This study aims to evaluate the appropriateness of the responses of Google Gemini and Microsoft Copilot to questions on pharmacologic and surgical management of obesity and assess for bias in their responses to either the ADA or AACE guidelines.
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