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Breathing pattern of restful and deep breathing

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12410%2F17%3A43899357" target="_blank" >RIV/60076658:12410/17:43899357 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.researchgate.net/publication/324654679_BREATHING_PATTERN_OF_RESTFUL_AND_DEEP_BREATHING" target="_blank" >https://www.researchgate.net/publication/324654679_BREATHING_PATTERN_OF_RESTFUL_AND_DEEP_BREATHING</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Breathing pattern of restful and deep breathing

  • Popis výsledku v původním jazyce

    Purpose: Respiration is a central aspect of our entire being. We know that every activity of the body is closely connected with breathing and the quality of breathing functions is decisive for our health. Current way of life with sedentary occupation and passive leisure result in the fact that today&apos;s civilization cannot breathe correctly (Haichová &amp; Yesudian, 2014). The aim of this work was to investigate the course of breathing waves during restful and deep breathing in healthy individuals aged 1925 who regularly engage in some sort of sports activity. Methods: To test breathing stereotype in 163 research participants, we used a muscle dynamometer to monitor the dynamics of breathing activity. During analysis of the respiratory movements was based on the concept of three sectors of the chest. In the lower chest sector, the first muscular dynamometer probe was located. The second probe was placed in the middle chest sector and the third probe was placed in the upper chest sector. The breathing dynamometry test was performed in the upright position. With the probes we recorded individual segment movements for one minute during restful breathing and for one minute during deep breathing. In this way, 600 values were recorded for each person from one sensor during breathing at rest. The same number of values was also acquired in deep breathing. The time series thus obtained were then smoothed by the robust locally weighted regression method. Separate ranges and minima (local extrema) were subsequently identified in the evened series. From the values thus obtained, the average of the maximum and minimum for each individual was determined, depending on the location of the sensor and the type of breathing. From these values, the &quot;average difference&quot; for each sensor location and respiration type was determined for each individual. To test normality, the Shapiro-Wilk&apos;s normality test was used for each variable. Results are interpreted with 95% confidence. Due to the rejection of the zero hypothesis on data normality, Wilcoxon&apos;s pairing tests were used for individual variables in case of verifying the hypothesis of median compliance (or compliance of distribution functions). Numerical results were obtained through MS Excel and R 3.3.0 software. Results: The values for restful breathing were statistically significantly lower on all sensors than those for deep breathing. During comparison of the percentage involvement of individual chest sectors the activity of breathing waves predominates in the middle and upper chest sections over the activity of the lower chest section. During deep breathing the activity is reduced by nearly 10%. Conclusion: On the basis of the results it can be concluded that the test individuals suffer from respiratory stereotype disorder.

  • Název v anglickém jazyce

    Breathing pattern of restful and deep breathing

  • Popis výsledku anglicky

    Purpose: Respiration is a central aspect of our entire being. We know that every activity of the body is closely connected with breathing and the quality of breathing functions is decisive for our health. Current way of life with sedentary occupation and passive leisure result in the fact that today&apos;s civilization cannot breathe correctly (Haichová &amp; Yesudian, 2014). The aim of this work was to investigate the course of breathing waves during restful and deep breathing in healthy individuals aged 1925 who regularly engage in some sort of sports activity. Methods: To test breathing stereotype in 163 research participants, we used a muscle dynamometer to monitor the dynamics of breathing activity. During analysis of the respiratory movements was based on the concept of three sectors of the chest. In the lower chest sector, the first muscular dynamometer probe was located. The second probe was placed in the middle chest sector and the third probe was placed in the upper chest sector. The breathing dynamometry test was performed in the upright position. With the probes we recorded individual segment movements for one minute during restful breathing and for one minute during deep breathing. In this way, 600 values were recorded for each person from one sensor during breathing at rest. The same number of values was also acquired in deep breathing. The time series thus obtained were then smoothed by the robust locally weighted regression method. Separate ranges and minima (local extrema) were subsequently identified in the evened series. From the values thus obtained, the average of the maximum and minimum for each individual was determined, depending on the location of the sensor and the type of breathing. From these values, the &quot;average difference&quot; for each sensor location and respiration type was determined for each individual. To test normality, the Shapiro-Wilk&apos;s normality test was used for each variable. Results are interpreted with 95% confidence. Due to the rejection of the zero hypothesis on data normality, Wilcoxon&apos;s pairing tests were used for individual variables in case of verifying the hypothesis of median compliance (or compliance of distribution functions). Numerical results were obtained through MS Excel and R 3.3.0 software. Results: The values for restful breathing were statistically significantly lower on all sensors than those for deep breathing. During comparison of the percentage involvement of individual chest sectors the activity of breathing waves predominates in the middle and upper chest sections over the activity of the lower chest section. During deep breathing the activity is reduced by nearly 10%. Conclusion: On the basis of the results it can be concluded that the test individuals suffer from respiratory stereotype disorder.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    30306 - Sport and fitness sciences

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    PROCEEDINGS OF THE 11th INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY Sport and Quality of Life

  • ISBN

    978-80-210-8917-4

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    12

  • Strana od-do

    199-210

  • Název nakladatele

    Masarykova univerzita v Brně, Fakulta sportovních studií

  • Místo vydání

    Brno

  • Místo konání akce

    Brno

  • Datum konání akce

    29. 11. 2017

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000467203700021