Why the study?
Does a higher resting heart rate predict the development of diabetes in a general population cohort?
Does a higher resting heart rate predict the development of diabetes in a general population cohort?
A resting heart rate ≥ 80 bpm is independently associated with an increased risk of developing diabetes over 5 years, particularly in non-obese men, suggesting sympathetic overactivity may contribute to diabetes pathogenesis.
Answers are grounded in this paper and cite their sources.
Does not support using resting heart rate for diabetes risk stratification; leaves open its predictive value pending prospective validation.
AIMS: A very limited number of prospective studies have reported conflicting data on the relation between heart rate and diabetes risk. Our aim therefore was to determine in a large, national, population-based cohort if heart rate predicts the development of diabetes. METHODS: The Australian Diabetes Obesity and Lifestyle study followed up 6537 people over 5 years. Baseline measurements included questionnaires, anthropometrics and blood and urine collection. Heart rate was recorded in beats per min (Dinamap). An oral glucose tolerance test was performed at baseline and follow-up, and diabetes was defined using World Health Organization criteria. RESULTS: A total of 5817 participants were eligible for analysis, 221 of whom developed diabetes. Compared with participants with a heart rate < 60 b min(-1), those with a heart rate ≥ 80 b min(-1) were more likely to develop diabetes (odds ratio 1.89, 95% CI 1.07-3.35) over 5 years, independent of traditional risk factors. This relationship was highly significant, particularly in non-obese men (odds ratio 5.61, 95% CI 1.75-17.98), but not in their obese counterparts or in women. CONCLUSIONS: Resting heart rate is associated with an increased risk of diabetes over a 5-year period, particularly among non-obese men. This suggests that sympathetic overactivity may be a contributing factor to the development of diabetes, and that resting heart rate may be useful in predicting risk of Type 2 diabetes in non-obese men.
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Grantham et al. (2012) studied this question.
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