Relationship between diabetes mellitus and heart rate variability in community-dwelling elders

Ribeiro, Ícaro José Santos; Pereira, Rafael; Neto, Paulo da Fonseca Valença; Freire, Ivna Vidal; Casotti, Cézar Augusto; Reis, Mitermayer Galvão dos

doi:10.1016/j.medici.2017.12.001

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…Importantly, common chronic diseases, including cancer, rheumatoid arthritis, myocardial infarctions, obesity and metabolic syndrome, hypertension and depression, are related to elevated sympathetic activity and reduced parasympathetic activity ( 21 – 26 ). Previous studies have also shown that diabetes has an adverse effect on HRV ( 5 , 27 ). One study reported that elderly individuals with DM may have worse parasympathetic control ( 27 ).…”

Section: Discussionmentioning

confidence: 92%

“…Previous studies have also shown that diabetes has an adverse effect on HRV ( 5 , 27 ). One study reported that elderly individuals with DM may have worse parasympathetic control ( 27 ). Another meta-analysis involving 25 case-control studies with 2,932 type 2 diabetes patients suggested that blood glucose and HbA1c were associated with several HRV parameters ( 5 ).…”

Section: Discussionmentioning

confidence: 92%

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Blood hemoglobin A1c might predict adverse differences in heart rate variability in a diabetic population: Evidence from the Midlife in the United States (MIDUS) study

Huang

Chen²,

D³

et al. 2022

Front. Endocrinol.

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BackgroundCardiac autonomic neuropathy in population with diabetes mellitus (DM) is frequent and linked with high risk of cardiovascular mortality. However, studies on whether blood hemoglobin A1c (HbA1c) levels are related to adverse differences in heart rate variability (HRV) in individuals with DM are scarce.AimWe aimed to investigate the association of blood HbA1c levels with adverse differences in HRV, which is an indicator of cardiac autonomic control, in adult individuals with and without DM.MethodsData were collected from the Midlife in the United States (MIDUS) study, and 928 individuals were analyzed for the relationship between blood HbA1c levels and HRV through a cross-sectional analysis.ResultsParticipants with DM had significantly higher HRV than those without DM. The smooth curve suggested inverse relationships between blood HbA1c levels and HF- and LF-HRV seen in participants with DM but not in those without DM after controlling for all covariates (age, sex, BMI, smoking, number of drinking years and exercise). Furthermore, linear regression analysis demonstrated that elevated blood HbA1c levels did contribute to adverse differences in HF-HRV (Sβ= -0.118; 95% CI -0.208, -0.027; P=0.012) and LF-HRV (Sβ= -0.097; 95% CI -0.177, -0.017; P=0.019) after controlling for these covariates in participants with DM, while in participants without DM, blood HbA1c was not significantly related to adverse differences in HF-HRV (Sβ=0.095; 95% CI -0.059, 0.248; P=0.228) or LF-HRV (Sβ=0.043; 95% CI -0.103, 0.189; P=0.565). DM has a significant modifying effect on associations between blood HbA1c and adverse differences in HF-HRV (P for interaction=0.019) and LF-HRV (P for interaction=0.029).ConclusionsWe reported strong evidence that elevated blood levels of HbA1c were associated with adverse differences in HRV in the diabetic population but not in the nondiabetic population. This finding supported that long-term hyperglycemia is related to autonomic nerve injury in the diabetic population. Blood HbA1c might be a good indicator of cardiac autonomic neuropathy.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 92%

Blood hemoglobin A1c might predict adverse differences in heart rate variability in a diabetic population: Evidence from the Midlife in the United States (MIDUS) study

Huang

Chen²,

D³

et al. 2022

Front. Endocrinol.

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show abstract

Prediction of atrial fibrillation based on nonlinear modeling of heart rate variability signal and SVM classifier

Mandal

Sinha

2021

Res. Biomed. Eng.

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Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine

Aggarwal

Das

Mazumder

et al. 2020

Biocybernetics and Biomedical Engineering

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Relationship between diabetes mellitus and heart rate variability in community-dwelling elders

Abstract: There is a difference between the studied groups principally in what concerns the time domain, which reflects the parasympathetic activity, suggesting that elders with diabetes mellitus may have a worse parasympathetic control.

Cited by 5 publications

References 27 publications

Blood hemoglobin A1c might predict adverse differences in heart rate variability in a diabetic population: Evidence from the Midlife in the United States (MIDUS) study

Blood hemoglobin A1c might predict adverse differences in heart rate variability in a diabetic population: Evidence from the Midlife in the United States (MIDUS) study

Prediction of atrial fibrillation based on nonlinear modeling of heart rate variability signal and SVM classifier

Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine

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