Determinants of dynamic inspiratory muscle strength in healthy trained elderly
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Otros documentos de la autoría: Roldán, Ainoa; Forte, A.; Monteagudo, Pablo; Cordellat, Ana; Monferrer-Marín, Jordi; Blasco-Lafarga, Cristina
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https://doi.org/10.1080/00325481.2021.1945761 |
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Título
Determinants of dynamic inspiratory muscle strength in healthy trained elderlyAutoría
Fecha de publicación
2021-07-20Editor
Taylor & FrancisISSN
0032-5481; 1941-9260Cita bibliográfica
A Roldán, A Forte, P Monteagudo, A Cordellat, J Monferrer-Marín & C BlascoLafarga (2021) Determinants of dynamic inspiratory muscle strength in healthy trained elderly, Postgraduate Medicine, 133:7, 807-816Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Background:
The S-Index assessed by means of electronic devices is a measure of Inspiratory Muscle Strength (IMS) that highly correlates with the maximal inspiratory pressure (MIP). The variables involved when using ... [+]
Background:
The S-Index assessed by means of electronic devices is a measure of Inspiratory Muscle Strength (IMS) that highly correlates with the maximal inspiratory pressure (MIP). The variables involved when using regression models for the prediction of IMS/MIP depend on both the sample characteristics and the device or protocol used. In light of the scarce information on the influence of physical activity (PA) on IMS in healthy older adults (OA), together with the incorporation of new assessment devices, the objectives of this research are: 1) to determine which factors influence the IMS in a group of trained OA, using a portable electronic device; and 2) to propose a regression model to improve its assessment and training.
Methods:
One hundred and fifty-nine individuals were assessed for body composition, lung capacity, IMS, and PA. A total of 92 individuals (72.73 ± 4.99 years) were considered for the final sample.
Results:
Using age, sex, and weight as control variables, forced expiratory volume in the first second (FEV1) is the variable which is most likely to be included in the model (80%), without physical fitness appearing to be decisive. In the absence of spirometric variables, cardiorespiratory fitness (6MWT) takes on this role in a predictive model (16%).
Conclusions:
This is the first study proposing IMS predictive formulas considering spirometry and/or physical fitness results for a Spanish, healthy, and trained OAs population. A predictive formula including also the spirometric variables (mainly the FEV1) might better predict the inspiratory muscle strength. In addition, physical and respiratory functions confirm to be different, so it is necessary for the inspiratory muscles to be trained in a specific way. [-]
Publicado en
Postgraduate Medicine 2021, VOL. 133, NO. 7Entidad financiadora
Ministerio de Ciencia e Innovación (MICI)
Código del proyecto o subvención
PID2019-104790GB-I00
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