Predictive equations for spirometric reference values in a healthy adult suburban population in Tanzania

Knudsen, Toril Mørkve; Mørkve, Odd; Mfinanga, Sayoki; Hardie, Jon A.

doi:10.4314/thrb.v13i3.64540

Cited by 7 publications

(15 citation statements)

References 14 publications

(16 reference statements)

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“…The application of prediction formulae developed for non‐African populations invariably overestimates the values for Black Africans (Njoku & Anah, ). Likewise, if normal ventilatory function (chest size, muscle strength, chest mobility and shape) is to be assessed by referring to European or American data, it may lead to the wrong conclusions (Knudsen et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…FEV 1 = 0Á1952*age À 0Á740 r = 0Á50 (P<0Á001) (Njoku & Anah, 2004). Likewise, if normal ventilatory function (chest size, muscle strength, chest mobility and shape) is to be assessed by referring to European or American data, it may lead to the wrong conclusions (Knudsen et al, 2011). The results above represent a relatively small group of boys and men from Tanzania that is usually selected for this type of epidemiological/screening study.…”

Section: Regression Equations R (P-value)mentioning

confidence: 99%

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The multi‐ethnic global lung initiative 2012 and Third National Health and Nutrition Examination Survey reference values do not reflect spirometric measurements in Black boys and men from Tanzania

Rębacz-Maron

2016

Clin Physio Funct Imaging

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Black people; forced expiratory volume in one second; FEV 1 /FVC; forced vital capacity; GLI2012; PEF; reference valuesThe interpretation of spirometric results of Black Africans according to reference standards based on data from outside their native environment may lead to the wrong conclusions. This article aims to characterize the ventilatory capacity of boys and men from Tanzania according to forced expiratory volume in one second (FEV 1 ), forced vital capacity (FVC), peak expiratory flow (PEF) and FEV 1 /FVC based on the collected anthropological material and to compare them to NHANES III, Third National Health and Nutrition Examination Survey (NHANES III) African American predicted values and GLI2012 equations. The analysis included spirometric measurements of n = 295 participants from Tanzania. Pearson's correlation analysis and the backward stepwise multiple regression analysis were performed. FEV 1 , FVC, PEF and FEV 1 /FVC results were compared to the NHANES III African American predicted values as well as to the GLI2012 equations. FEV 1 measurements are lower than the reference values according to NHANES III and GLI2012 equations by 22Á1% and 25Á8%. FVC results fell short of the NHANES III predicted by 29Á5% and of GLI2012 by 32Á5%. The average %FEV 1 /FVC scores for the boys and men exceeded the recommended GLI2012 predicted by 10Á5-15Á2%. All the spirometric measurements included in the analysis were statistically significantly correlated with age, body height, sitting height, trunk length and body weight. The application of prediction formulae developed for non-African populations overestimates the values for Black Africans. The results of spirometric measurements are ecosensitive and dependent on various external (environmental) factors.

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Section: Discussionmentioning

confidence: 97%

Section: Regression Equations R (P-value)mentioning

confidence: 99%

The multi‐ethnic global lung initiative 2012 and Third National Health and Nutrition Examination Survey reference values do not reflect spirometric measurements in Black boys and men from Tanzania

Rębacz-Maron

2016

Clin Physio Funct Imaging

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“…Equivalent figures were of 3.91 L (% variation: +21.8%) and 3.32 L (+27.5%) using the Global Lung Initiative equations 2012 (GLI 2012) [9] for Caucasians and 3.32 L (+3.4%) and 2.58 L (+10.7%) when applying the GLI 2012 equation for African-Americans. Values from Tanzanians equations [15] were 3.13 L (−2.5%) for men and 2.23 L (−4.3%) for women. Further comparisons for…”

Section: Model Comparisonsmentioning

confidence: 93%

“…To our knowledge, however, only few studies on spirometric reference values have been conducted in Black Africans [10][11][12][13]. Most of the available studies were conducted more than 20 years ago, with the exception of studies by Hnizdo et al in South Africa [14] and Knudsen et al [15] in Tanzania. Furthermore, Hnizdo's study [14] focused on healthy miners workers, and Knudsen's study [15] included only 52 men and 98 women.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the available studies were conducted more than 20 years ago, with the exception of studies by Hnizdo et al in South Africa [14] and Knudsen et al [15] in Tanzania. Furthermore, Hnizdo's study [14] focused on healthy miners workers, and Knudsen's study [15] included only 52 men and 98 women. The recently published multiracial references equations of the Global Lung Initiative (GLI) among the age group 3 -95 years [9], did not account for Black Africans, in the absence of specific data for this population.…”

Section: Introductionmentioning

confidence: 99%

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Spirometric Reference Equations for Semi-Urban and Urban Bantu Cameroonians

Pefura-Yone¹,

Kanko-Nguekam²,

Kengne³

et al. 2013

OJRD

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Background: Spirometric reference values vary substantially across ethnic groups, and remain largely poorly characterized among Africans. We derived spirometric reference equations for adult Cameroonians and compared their performance with those derived from other ethnic groups. Methods: Spirometric variables according to the American Thoracic Society/European Respiratory Society 2005 guidelines were acquired in voluntary healthy non-smoker subjects in Yaounde (Capital City) and Foumbot (semi-urban area in West Region), in Cameroon during November 2011 to January 2012 (Yaounde) and August 2012 (Foumbot). Reference equations were derived separately for men and women from multiple linear regressions. Results: A total of 411 subjects (206 men) met the inclusion criteria. The mean age was 39.5 ± 16.1 years (min -max: 18 -85 years) for men and 39.2 ± 14.1 years (18 -90 years) for women. Age and height were the only variables significantly associated with spirometric values in the final linear regression models. Derived reference values were lower than those derived from Global Lung Initiative 2012 equations for different ethnic groups, except for the forced expiratory volume in 1 second/forced vital capacity ratio (FEV 1 /FVC ratio). The mean FEV 1 /FVC ratio was 0.88 ± 0.07 for Cameroonian men and 0.89 ± 0.07 for Cameroonian women. Variations in the performance of derived models in bootstrap internal validation were marginal. Conclusion: This study highlights the importance of deriving specific predictive equations for each ethnic group. The use of adjustment factors applied to Caucasian equations when compared with the values derived in our study leads to an overestimation of the values for FEV 1 and FVC.

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Establishment of Reference Norms for Lung Function Parameters of Healthy Sri Lankan Tamils

2019

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Spirometry and Peak Expiratory Flow Rate (PEFR) are important measurements in diagnosing and monitoring of COPD and asthma. Ethnic specific reference equations are necessary in interpretation of these parameters. However, equations for Sri Lankan Tamil adults are not available. This study aims to establish reference equations for lung function parameters of Sri Lankan Tamils. A descriptive cross sectional study was carried out in all 5 districts of Northern Sri Lanka. Participants were selected by cluster sampling. Base line data were obtained by a questionnaire. Height, sitting height, weight, arm span, mid arm circumference, and chest expansion were measured. Respiratory functions were assessed by a calibrated spirometer (Cosmed Micro Quark, Italy) and Wright compatible peak expiratory flow meter. Means, and standard deviations for Vital Capacity (VC), Forced Vital Capacity (FVC), Forced Expiratory Volume in the first second (FEV1), FEV1%, Peak Expiratory Flow Rate (PEFR) and for other forced expiratory parameters of 775 males and 687 females were determined. Lung function parameters have significant p<0.05 positive correlations with most of the anthropometric measures. Age had a significant p<0.05 negative correlation with lung function parameters in adults >20 years and positive correlation p<0.05 in 14–20 years group. Step wise multiple regression analysis was used to determine the prediction equations. Also equations based on age, height and age, arm span were derived. Age, height based equations were retested in the same population. Predicted values by the developed equations had better agreement than that of GLI 2012 equations. This can be useful in assessing the respiratory function in Sri Lankan Tamil population as there are no already existing equations.

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Predictive equations for spirometric reference values in a healthy adult suburban population in Tanzania

Cited by 7 publications

References 14 publications

The multi‐ethnic global lung initiative 2012 and Third National Health and Nutrition Examination Survey reference values do not reflect spirometric measurements in Black boys and men from Tanzania

The multi‐ethnic global lung initiative 2012 and Third National Health and Nutrition Examination Survey reference values do not reflect spirometric measurements in Black boys and men from Tanzania

Spirometric Reference Equations for Semi-Urban and Urban Bantu Cameroonians

Establishment of Reference Norms for Lung Function Parameters of Healthy Sri Lankan Tamils

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