How to account for Inuit ancestry in lung function prediction.

Autor: Laustsen BH; Department of Clinical Medicine, Danish Ramazzini Centre, Aalborg University, Aalborg, Denmark.; Institute of Nursing & Health Science, Ilisimatusarfik, University of Greenland, Nuuk, Greenland., Bønløkke JH; Department of Occupational and Environmental Medicine, Danish Ramazzini Centre, Aalborg University Hospital, Aalborg, Denmark., Miller MR; Institute of Applied Birmingham Health Sciences, University of Birmingham, Birmingham, UK.
Jazyk: angličtina
Zdroj: International journal of circumpolar health [Int J Circumpolar Health] 2023 Dec; Vol. 82 (1), pp. 2151158.
DOI: 10.1080/22423982.2022.2151158
Abstrakt: Rigorous lung function prediction equations for the Inuit are lacking. We used spirometry from 351 Inuit and 29 people of other ancestry obtained during an occupational survey in Greenland to determine how to obtain valid lung function predictions for the Inuit using Global Lung Function Initiative (GLI) equations for Europeans. Standing height for the Inuit was used in the predictions as well as their height modified in line with the known differences in standing to sitting height ratio (SHR) for the Inuit. With recorded height in predicting lung function, mean±SD Inuit z-scores for FVC and FEV1 were significantly higher than predicted (0.81±1.20 and 0.53±1.36, respectively, p<0.0001) which was not true for the non-Inuit participants (-0.01±1.04 and 0.15±1.17, respectively). When using height modified for SHR the mean±SD Inuit z-scores for FVC and FEV1 were no longer significantly different from predicted (0.10±1.10 and -0.12±1.24, respectively). The mean±SD Inuit FEV1/FVC z-scores were not significantly different from the non-Inuit, being respectively -0.45±0.98 and -0.01±1.04. Modified height changed the mean±SD Inuit FEV1/FVC z-scores to -0.39±0.99. Representative lung function predictions from GLI equations can be made for Inuit by using standing height modified for the known differences in SHR between Inuit and those of European ancestry.
Databáze: MEDLINE