1999
DOI: 10.1007/s004310051133
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The necessity of building population specific prediction equations for clinical assessment of pulmonary function tests

Abstract: The development of population specific prediction equations for PFT parameters is necessary. Such equations should be used both in clinical assessment to minimize misclassification (healthy/sick child) and in epidemiological studies.

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Cited by 12 publications
(10 citation statements)
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“…When compared with published equations, our R 2 values are similar or even higher than whatever other groups have presented. For example, in equations for FVC and FEV 1 the R 2 was between 66 and 74% (Hellmann & Goren, 1999), 60 and 65% (Pistelli et al ., 1992), and 62 and 65% (Haby et al ., 1994). The last two papers used one equation for boys and girls, with sex as a dummy variable.…”
Section: Discussionmentioning
confidence: 99%
“…When compared with published equations, our R 2 values are similar or even higher than whatever other groups have presented. For example, in equations for FVC and FEV 1 the R 2 was between 66 and 74% (Hellmann & Goren, 1999), 60 and 65% (Pistelli et al ., 1992), and 62 and 65% (Haby et al ., 1994). The last two papers used one equation for boys and girls, with sex as a dummy variable.…”
Section: Discussionmentioning
confidence: 99%
“…It can be easily measured and correlates well with other lung function measurements. However, for the meaningful interpretation of PEFR results, it is necessary to establish the normal range of observations specific to a population, since there are wide variations of PEFR with geographic, racial, genetic and nutritional background [1,2,3] It is defined as "The largest expiratory flow rate achieved with a maximally forced effort from a position of maximal inspiration, expressed in liters/min" [4] Besides fulfilling the need of assessing the ventilatory function peak flow meter is a reliable and safe instrument. It is suitable for studies of respiratory function due to its portability and simplicity [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…Lung function differs from one population to other, depending on multiple factors including size and shape of the rib cage, respiratory muscles' strength and possibly parenchymal lung development (5). There are also other influences such as environmental pollution, socioeconomic conditions, nutritional status and exercise, which have direct and indirect effects on lung function (6)(7)(8).…”
mentioning
confidence: 99%