Avaliação das pressões respiratórias máximas em crianças e adolescentes da grande Natal: elaboração de uma equação preditiva
The human respiratory system was so designed that would allow efficient ventilation, regardless of variations in the external environment that may hinder the act of breathing, such an act involves dozens of variables, among them we find the respiratory depression, which is nothing more than respi...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/13076 |
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| Resumo: | The human respiratory system was so designed that would allow efficient
ventilation, regardless of variations in the external environment that may hinder
the act of breathing, such an act involves dozens of variables, among them we
find the respiratory depression, which is nothing more than respiratory muscle
strength. The pressures are widely used in several cases: Neuro-muscular;
evolution of pulmonary dysfunction and a predictor for discontinuation of
mechanical ventilation. Therefore it was proposed to carry out evaluations of
these respiratory pressures for children and adolescents aged 10 to 16 years
and propose a predictive equation that involves the anthropometric variables
age (A, years), body mass (BM, kilograms) and height (H, meters) with maximal
respiratory pressures (maximum inspiratory and expiratory pressure).
Evaluations were performed in this age group of students in public and
private schools of the Grande Natal , measurements were performed using the
analogue manometer, were children and adolescents and their parents gave
informed consent. 517 samples were taken, and 250 for males (M), 255 for
females (F) and 12 were excluded according to our exclusion criteria. The
sample was subdivided into three age groups (10-11, 12-13 and 14 to 16 years
old). It was found through the student s t test (p ≤ 0.05) for all variables studied,
children and male adolescents had higher means than females, except for the
MC. For the correlation between the variables found significant correlation (p
<0.05) among all the variables when analyzed as pairs except between MIP
and height for females. The development of predictive equations (for p ≤ 0.05)
based on three types of strategies adopted were restricted to two association between anthropometric variables isolated, resulting in: for males: MIP = -32.29
+ (-2.11*A) + (-0.52*BM), MIP = 9.99 + (-0.36*BM) + (-49.40*H); MEP = 18.54 +
3.53*A + 0, 42*BM, MEP = -33.37 + 2.78*A + 52.18* H, MEP = -17.39 +
0.33*BM + 55.04*H; and, for females we find: MEP = 24.32 + 2.59 * A +
0.24*BM |
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