{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T15:40:13Z","timestamp":1791214813670,"version":"4.1.0"},"reference-count":38,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Med Insights Circ Respir Pulm Med"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To identify the correlations and possible predicted equations of maximal inspiratory (MIP) and expiratory mouth pressure (MEP) values from pulmonary function test (PFT), demographics, and anthropometrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This study involved 217 healthy participants (91 males and 126 females) aged 19 to 50\u2009years. The PFT (forced vital capacity; FVC, forced expiratory volume in 1\u2009second; FEV1, maximal mid-expiratory flow; MMEF, and peak expiratory flow; PEF) was performed by spirometry, whereas MIP and MEP were evaluated by a respiratory pressure meter. Pearson correlation and multiple linear regression, with the stepwise method, were used for statistical analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The MIP and MEP had a significant positive correlation with weight, height, body mass index (BMI), and waist circumference. MIP had a significant positive correlation with FVC (%) and PEF (L\/s and %), as well as a negative correlation with FEV1\/FVC (ratio and %) and MMEF (%). Whereas, MEP showed a significant positive correlation with PEF (L\/s and %) and negative correlation with FEV1\/FVC (ratio and %) and MMEF (L\/s). Finally, the predicted MIP and MEP equations were 103.988\u221297.70\u2009\u00d7\u2009FEV1\/FVC\u2009+\u200931.292\u2009\u00d7\u2009Sex (male\u2009=\u20091 and female\u2009=\u20090)\u2009+\u20090.662 \u00d7 PEF (%) and 47.384\u2009+\u20093.603\u2009\u00d7\u2009PEF (L\/s)\u22129.514\u2009\u00d7\u2009MMEF(L\/s)\u2009+\u200930.458\u2009\u00d7\u2009Sex (male\u2009=\u20091 and female\u2009=\u20090)\u2009+\u20090.534\u2009\u00d7\u2009PEF (%), respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The respiratory muscle strengths can be predicted from the pulmonary function test, and gender data.<\/jats:p>\n                  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