6-year change in resting heart rate is associated with incident type 2 diabetes mellitus

Zhao, Yang; Zhang, Meng; Liu, Y.; Yin, Zhaoxia; Li, H.; Sun, Hualei; Wang, C.; Ren, Yongcheng; Liu, D.; Cheng, Ching‐Li; Liu, F.; Chen, X.; Liu, L.; Zhou, Qionggui; Xiong, Yang; Xu, Qingyu; Liu, J.; Hong, Shihao; You, Zhou; Li, J.; Cao, Jie; Huang, Jianfeng; Sun, Xizhuo

doi:10.1016/j.numecd.2018.12.003

Cited by 8 publications

(6 citation statements)

References 40 publications

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“…RHR and other factors such as lifestyle, physical activity, and clinical condi-tions may change over time. However, previous studies relied on RHR measurements single points in time and have consistently linked elevated RHR with an increased risk of DM [7][8][9]. Additionally, we used a traditional Cox proportional hazards model to identify the long-term effects of fixed baseline risk factors and short-term effects of a fixed last measurement (the most recent RHR) before the index date (Supplementary Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, there is an opportunity for RHR to be used for chronic disease prevention in healthy adults if the clinical significance of RHR can be understood. Many previous studies have reported that a high RHR is associated with an increased risk of DM [7][8][9]. RHR may change over time due to environmental factors such as physical activity or clinical conditions; however, few studies have assessed serial measurements of RHR over time [10].…”

Section: Introductionmentioning

confidence: 99%

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Temporal Changes in Resting Heart Rate and Risk of Diabetes Mellitus

Son,

Lee,

Park

2024

Diabetes Metab J

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Background:To investigate the association between the time-varying resting heart rate (RHR) and change in RHR (∆RHR) over time and the risk of diabetes mellitus (DM) by sex. Methods: We assessed 8,313 participants without DM or atrial fibrillation/flutter from the Korean Genome and Epidemiology Study, a community-based prospective cohort study that was initiated in 2001 to 2002. The participants were followed up until December 31, 2018. Updating RHR with biennial in-study re-examinations, the time-varying ∆RHR was calculated by assessing the ∆RHR at the next follow-up visit. Results: Over a median follow-up of 12.3 years, 1,345 participants (16.2%) had DM. As compared with RHR of 60 to 69 bpm, for RHR of ≥80 bpm, the incidence of DM was significantly increased for both male and female. A drop of ≥5 bpm in ∆RHR when compared with the stable ∆RHR group (-5< ∆RHR <5 bpm) was associated significantly with lower risk of DM in both male and female. However, an increase of ≥5 bpm in ∆RHR was significantly associated with higher risk of DM only in female, not in male (hazard ratio for male, 1.057 [95% confidence interval, 0.869 to 1.285]; and for female, 1.218 [95% confidence interval, 1.008 to 1.471]). Conclusion:In this community-based longitudinal cohort study, a reduction in ∆RHR was associated with a decreased risk of DM, while an increase in ∆RHR was associated with an increased risk of DM only in female.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temporal Changes in Resting Heart Rate and Risk of Diabetes Mellitus

Son,

Lee,

Park

2024

Diabetes Metab J

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“…Also, we observed the RHR-MetS dose-response relationship. Some recent studies reported that higher RHR was associated with a greater risk of hypertension [29,30], elevated TG [31], and diabetes [30,32,33]. However, the clustered metabolic risk has not been fully explored.…”

Section: Discussionmentioning

confidence: 99%

Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: The China Multi-Ethnic Cohort (CMEC) Study

Zhang

Hong

Qin

et al. 2021

Preprint

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Background High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, was associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. This study aimed to explore the link between RHR and MetS and its components. Methods The study included 6,589 Dong adults (1,434 patients) from the China Multi-Ethnic Cohort (CMEC) Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose–response relationship between RHR and MetS and its components. Results A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk (OR 1.75 [95% CI 1.42–2.15]) than those in the lowest quartile. The clustered metabolic risk associated with RHR (P < 0.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG), and elevated fasting plasma glucose (FPG), the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75–2.43), 1.37 (1.17–1.62), and 2.53 (2.04–3.14), respectively. Similar results were found in sensitivity and subgroup analyses. Also, non-linear dose-response relationship existed between RHR and MetS and elevated levels of BP, TG, and FPG (P < 0.001). Conclusions RHR was related to the risk of MetS and three MetS components (elevated BP, elevated TG, and elevated FPG). RHR may be a useful indicator for MetS.

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“…Some recent studies reported that higher RHR was associated with a greater risk of hypertension, 33,34 elevated TG 35 and diabetes. 34,36,37 However, the clustered metabolic risk has not been fully explored. Additionally, as far as we know, the clustered metabolic risk, which indicated the severity of MetS based on the abnormal metabolic numbers of MetS component, associated with RHR was not investigated in previous studies.…”

Section: Discussionmentioning

confidence: 99%

“…Some recent studies reported that higher RHR was associated with a greater risk of hypertension, 33,34 elevated TG 35 and diabetes 34,36,37 . However, the clustered metabolic risk has not been fully explored.…”

Section: Discussionmentioning

confidence: 99%

Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: Cross‐sectional findings of the China Multi‐Ethnic Cohort Study

Xiao

Hong

Qin

et al. 2021

Diabetes Metabolism Res

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Aims: High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, is associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. We aimed to explore the link between these two parameters. Materials and Methods:The study included 6589 Dong adults (1434 cases of MetS) from the cross-sectional survey of the China Multi-Ethnic Cohort Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose response association. Results:A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk ) than those in the lowest quartile. The clustered metabolic risk associated with RHR (p < 0.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG) and elevated fasting plasma glucose (FPG); the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75-2.43), 1.37 (1.17-1.62) and 2.53 (2.04-3.14), respectively. Similar results were found in sensitivity and subgroup

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6-year change in resting heart rate is associated with incident type 2 diabetes mellitus

Cited by 8 publications

References 40 publications

Temporal Changes in Resting Heart Rate and Risk of Diabetes Mellitus

Temporal Changes in Resting Heart Rate and Risk of Diabetes Mellitus

Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: The China Multi-Ethnic Cohort (CMEC) Study

Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: Cross‐sectional findings of the China Multi‐Ethnic Cohort Study

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