ArticleRespiratory medicine2025
Two-week heart rate variability measurements and lung health: a cross-sectional analysis in the ARIC study.
Article in Respiratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundHeart rate variability (HRV) is a measure of autonomic function that has been associated with worse lung function and worse respiratory health. Using data from a community-based cohort, we aimed to test if HRV is associated with lung function and self-reported chronic lung disease (CLD).
methodsThe Atherosclerosis Risk in Communities (ARIC) study is a community-based cohort that collected HRV measurements from 14-day continuous ECG patches and self-reported CLD at visit 6 (2016-2017). Pulmonary function testing was performed a prior visit (visit 5; 2011-2013). We used multivariate linear regression to test cross-sectional associations between HRV and lung function, and logistic regression to test associations between HRV and self-reported CLD. All analyses were adjusted for important confounders including smoking, demographics, and medications.
resultsHRV and lung function measurements were available for 1456 participants. Included participants had a mean ± standard deviation (SD) age of 78.7 ± 4.5 years, 59.6 % were female, and 30.1 % were African American. Higher HRV reflective of overall HRV (standard deviation of normal RR intervals) and sympathetic activity [low frequency (LF) to high frequency (HF) ratio (LF/HF)] were associated with better lung function and lower odds of self-reported CLD. Higher HRV reflective of parasympathetic function (HF) was associated with worse lung function and higher odds of self-reported CLD.
conclusionsWe confirmed associations between HRV and respiratory health outcomes. Our data from a community-based cohort demonstrate the importance of utilizing several HRV measurements to capture multiple components of autonomic function when analyzing respiratory health outcomes.
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