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[Spirometric reference values in black females].

F Boutros-Toni, B Pigearias, P Konate

    Bulletin Europeen De Physiopathologie Respiratoire
    |July 1, 1983
    PubMed
    Summary

    This study provides spirometric reference values for West African females, revealing reduced Forced Vital Capacity (FVC) and Forced Expiratory Volume in 1 second (FEV1) compared to European white females and Ivorian males.

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    Area of Science:

    • Pulmonary Medicine
    • Anthropometry
    • African Health

    Background:

    • Spirometric reference values are crucial for diagnosing respiratory diseases.
    • Existing spirometric data often lacks representation from diverse ethnic populations, particularly black females.
    • West African populations may exhibit unique physiological characteristics affecting lung function.

    Purpose of the Study:

    • To establish normative spirometric reference values for black females from West Africa.
    • To compare lung function parameters (FVC, FEV1) between black females, European white females, and Ivorian males.
    • To develop regression equations for predicting FVC and FEV1 based on height and age.

    Main Methods:

    • A cross-sectional study involving 298 black females (aged 10-70 years) from West Africa (Ivory Coast and bordering countries).
    • Exclusion criteria included abnormal hemoglobin levels.
    • Spirometry was performed, and Forced Vital Capacity (FVC) and Forced Expiratory Volume in 1 second (FEV1) were measured.

    Main Results:

    • Black females exhibited significantly lower FVC and FEV1 compared to European white females.
    • Lung function values in black females were also lower than those observed in Ivorian males.
    • Linear regression equations were derived to predict FVC and FEV1 as functions of height and age for two age groups (10-25 and 25-70 years).

    Conclusions:

    • The study provides essential spirometric reference values specific to West African black females.
    • These findings highlight ethnic and sex-based variations in lung function, necessitating population-specific reference standards.
    • The developed regression equations can aid in the clinical assessment of respiratory health in this demographic.

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