AIM: To generate reference values for respiratory muscle strength in healthy children aged three to twelve years. METHODS: Participants were recruited from three schools and selected after a respiratory disease questionnaire analysis and written informed consent by parents or guardians. All participants included in the study had normal spirometry, height and weight were measured on the same day. Respiratory muscle strength was evaluated by a single examiner following the guidelines for pulmonary function tests. The association between MIP and MEP values with the potential predictive variables was analyzed using a multiple linear regression model. RESULTS: A total of 171 participants were selected and distributed evenly by age. The age, height, weight and forced vital capacity showed moderate to strong correlations with both respiratory pressures. However, the regression model showed that height and weight were the best variables to predict MIP in both sexes, and age and weight to predict MEP. The power of prediction (R²) ranged from 46 to 58%. The intraclass correlation coefficient was used in a subgroup and demonstrated excellent reproducibility between tests. CONCLUSION: The results of this study demonstrate that the behavior of respiratory muscle strength in healthy preschool and school children can be explained by age, height and weight.
AIM: To generate reference values for respiratory muscle strength in healthy children aged three to twelve years. METHODS:Participants were recruited from three schools and selected after a respiratory disease questionnaire analysis and written informed consent by parents or guardians. All participants included in the study had normal spirometry, height and weight were measured on the same day. Respiratory muscle strength was evaluated by a single examiner following the guidelines for pulmonary function tests. The association between MIP and MEP values with the potential predictive variables was analyzed using a multiple linear regression model. RESULTS: A total of 171 participants were selected and distributed evenly by age. The age, height, weight and forced vital capacity showed moderate to strong correlations with both respiratory pressures. However, the regression model showed that height and weight were the best variables to predict MIP in both sexes, and age and weight to predict MEP. The power of prediction (R²) ranged from 46 to 58%. The intraclass correlation coefficient was used in a subgroup and demonstrated excellent reproducibility between tests. CONCLUSION: The results of this study demonstrate that the behavior of respiratory muscle strength in healthy preschool and school children can be explained by age, height and weight.
Authors: Bruce A Ong; Jason Caboot; Abbas Jawad; Joseph McDonough; Tannoa Jackson; Raanan Arens; Carole L Marcus; Kim Smith-Whitley; Thornton B A Mason; Kwaku Ohene-Frempong; Julian L Allen Journal: Br J Haematol Date: 2013-07-20 Impact factor: 6.998
Authors: Fernanda Cordoba Lanza; Mara Lisiane de Moraes Santos; Jessyca Pachi Rodrigues Selman; Jaksoel Cunha Silva; Natalia Marcolin; Jeniffer Santos; Cilmery M G Oliveira; Pedro Dal Lago; Simone Dal Corso Journal: PLoS One Date: 2015-08-20 Impact factor: 3.240
Authors: George J da Rosa; André M Morcillo; Maíra S de Assumpção; Camila I S Schivinski Journal: Braz J Phys Ther Date: 2017-01-14 Impact factor: 3.377
Authors: Woo Hyuk Choi; Myung Jun Shin; Myung Hun Jang; Je Sang Lee; Soo-Yeon Kim; Hye-Young Kim; Younghee Hong; Choongrak Kim; Yong Beom Shin Journal: Ann Rehabil Med Date: 2017-04-27