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The association between spirometry measurement quality, cognitive function, and mortality.

Consuelo Quispe-Haro1, Tatyana Court2, Magdalena Kozela3

  • 1RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic. consuelo.quispe@recetox.muni.cz.

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Summary
This summary is machine-generated.

Higher cognitive function is linked to better spirometry quality, reducing selection bias in lung function studies. Excluding poor-quality spirometry may overlook vulnerable individuals but is unlikely to cause major bias in mortality risk analyses.

Keywords:
AgingCognitionLung functionMortalityQuality of spirometry

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Area of Science:

  • Pulmonary Medicine
  • Cognitive Neuroscience
  • Epidemiology

Background:

  • Population studies assessing lung function often exclude individuals with poor-quality spirometry measurements.
  • Excluding subjects with poor-quality spirometry, frequently linked to impaired cognition, may introduce selection bias.
  • This study investigates the relationship between spirometry quality, cognitive function, and mortality risk.

Purpose of the Study:

  • To examine the association between cognitive function and spirometry quality.
  • To determine if poor-quality spirometry independently predicts mortality risk.
  • To assess the potential for selection bias in lung function studies.

Main Methods:

  • Prospective cohort study of 12,087 individuals aged 45-75 years in Central and Eastern Europe.
  • Cognitive function assessed using memory, verbal fluency, and executive function tests.
  • Spirometry quality classified as good or poor; spirometry impairment assessed using FVC and FEV1.

Main Results:

  • Higher cognitive function was associated with a lower likelihood of poor-quality spirometry (OR 0.82).
  • Impaired spirometry was linked to increased mortality risk (aHR 1.63), even after adjusting for cognition.
  • No significant difference in mortality risk was observed between poor-quality and good-quality spirometry groups.

Conclusions:

  • Higher cognitive function is associated with better spirometry quality.
  • Excluding poor-quality spirometry is unlikely to introduce significant bias in mortality risk analyses.
  • Discarding poor-quality spirometry may lead to the exclusion of vulnerable populations; findings require confirmation in diverse populations.