We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Attenuated heart rate recovery predicts risk of incident diabetes: insights from a meta-analysis.
- Authors
Qiu, S. H.; Xue, C.; Sun, Z. L.; Steinacker, J. M.; Zügel, M.; Schumann, U.
- Abstract
Aims To assess the association between attenuated heart rate recovery, a non-invasive measure of autonomic dysfunction, and risk of diabetes in the general population. Methods Databases were searched for cohort studies up to May 2017 that reported the association of heart rate recovery with the risk of diabetes. The overall hazard ratios for slowest vs fastest heart rate recovery (the referent) and for every 10-beats-per-min decrement in heart rate recovery were calculated using a random effects meta-analysis model. Results Four cohort studies with 430 incident cases of diabetes among a total of 9113 participants during a mean follow-up period of 8.1 years were included. Results showed that the slowest heart rate recovery was associated with a higher risk of diabetes (hazard ratio 1.66, 95% CI 1.16 to 2.38) vs the fastest heart rate recovery, and the hazard ratio of risk of diabetes for every 10-beats-per-min decrement in heart rate recovery was 1.29 (95% CI 1.13 to 1.48). No significant interaction effect was observed regarding the efficacy of 1-min and 2-min heart rate recovery in predicting risk of diabetes (both Pfor interaction >0.60); however, a linear dose-response relationship existed for overall studies and for studies using 1-min heart rate recovery as the exposure (both P >0.60 for non-linearity). Conclusions Attenuated heart rate recovery is associated with an increased risk of diabetes in a dose-dependent manner, and measurement of heart rate recovery is worth recommending as part of diabetes risk assessment in clinical routines.
- Subjects
DIABETES risk factors; AUTONOMIC nervous system; CONFIDENCE intervals; DOSE-response relationship in biochemistry; HEART rate monitoring; META-analysis; PROBABILITY theory; SYSTEMATIC reviews; COOLDOWN; DESCRIPTIVE statistics
- Publication
Diabetic Medicine, 2017, Vol 34, Issue 12, p1676
- ISSN
0742-3071
- Publication type
Article
- DOI
10.1111/dme.13517