scholarly journals Low Heart Rate Variability and Sympathetic Dominance Modifies the Association Between Insulin Resistance and Metabolic Syndrome ― The Toon Health Study ―

2017 ◽  
Vol 81 (10) ◽  
pp. 1447-1453 ◽  
Author(s):  
Isao Saito ◽  
Koutatsu Maruyama ◽  
Eri Eguchi ◽  
Tadahiro Kato ◽  
Ryoichi Kawamura ◽  
...  
2020 ◽  
Vol 17 (11) ◽  
pp. 1075-1082
Author(s):  
Isao Saito ◽  
Koutatsu Maruyama ◽  
Tadahiro Kato ◽  
Yasunori Takata ◽  
Kiyohide Tomooka ◽  
...  

Background: Autonomic activity is possibly influenced by physical activity (PA). However, it remains unclear whether this association is modified by insulin resistance. Methods: This population-based study between 2009 and 2012 included 2016 men and women aged 30–79 years. The PA was assessed using a validated questionnaire based on sleep, occupation, transportation, household characteristics, and leisure-time PA. Heart rate (HR) and heart rate variability (HRV) in the sitting position were determined from 5-minute recordings of pulse waves detected by a fingertip sensor. The HRV was calculated as frequency (standard deviation of normal-to-normal [NN] intervals [SDNN]), root mean square of successive differences (RMSSD), and percentage differences between normal NN intervals >50 milliseconds [pNN50]) and time domains. Insulin resistance was evaluated using the homeostasis model assessment index (HOMA-IR). Results: HR, RMSSD, and pNN50 were related to the total and moderate/vigorous PA tertiles in models that included HOMA-IR. The partial regression coefficient of total PA per 1-SD increase was .05 (P = .019) for log-transformed RMSSD and 1.86 (P = .001) for pNN50. No interactive associations were observed between PA and HOMA-IR. Conclusions: Low total PA was associated with increased HR and low levels of RMSSD and pNN50, reflecting parasympathetic modulation that was not modified by insulin resistance.


2013 ◽  
Vol 29 (10) ◽  
pp. S320-S321
Author(s):  
M.I. Stuckey ◽  
A. Kiviniemi ◽  
D.P. Gill ◽  
R.J. Petrella

2015 ◽  
Vol 40 (7) ◽  
pp. 734-740 ◽  
Author(s):  
Melanie I. Stuckey ◽  
Antti Kiviniemi ◽  
Dawn P. Gill ◽  
J. Kevin Shoemaker ◽  
Robert J. Petrella

The purpose of this study was to examine differences in heart rate variability (HRV) in metabolic syndrome (MetS) and to determine associations between HRV parameters, MetS risk factors, and insulin resistance (homeostasis model assessment for insulin resistance (HOMA-IR)). Participants (n = 220; aged 23–70 years) were assessed for MetS risk factors (waist circumference, blood pressure, fasting plasma glucose, triglycerides, and high-density lipoprotein cholesterol) and 5-min supine HRV (time and frequency domain and nonlinear). HRV was compared between those with 3 or more (MetS+) and those with 2 or fewer MetS risk factors (MetS–). Multiple linear regression models were built for each HRV parameter to investigate associations with MetS risk factors and HOMA-IR. Data with normal distribution are presented as means ± SD and those without as median [interquartile range]. In women, standard deviation of R–R intervals 38.0 [27.0] ms, 44.5 [29.3] ms; p = 0.020), low-frequency power (5.73 ± 1.06 ln ms2, 6.13 ± 1.05 ln ms2; p = 0.022), and the standard deviation of the length of the Poincaré plot (46.8 [31.6] ms, 58.4 [29.9] ms; p = 0.014) were lower and heart rate was higher (68 [13] beats/min, 64 [12] beats/min; p = 0. 018) in MetS+ compared with MetS–, with no differences in men. Waist circumference was most commonly associated with HRV, especially frequency domain parameters. HOMA-IR was associated with heart rate. In conclusion, MetS+ women had a less favourable HRV profile than MetS– women, but there were no differences in men. HOMA-IR was associated with heart rate, not HRV.


2015 ◽  
Vol 25 (9) ◽  
pp. 583-591 ◽  
Author(s):  
Isao Saito ◽  
Shinichi Hitsumoto ◽  
Koutatsu Maruyama ◽  
Wataru Nishida ◽  
Eri Eguchi ◽  
...  

2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i186-i186
Author(s):  
I. Saito ◽  
K. Maruyama ◽  
W. Nishida ◽  
E. Eguchi ◽  
T. Kato ◽  
...  

2021 ◽  
Vol 13 (5) ◽  
pp. e7200
Author(s):  
Aline Fonseca de Oliveira Costa ◽  
Thalita Thereza Menezes Carneiro ◽  
Antônio da Silva Menezes Junior ◽  
Ana Luisa Adorno de Lima

Objetivo: Construir uma revisão sistemática de literatura acerca das associações entre a variabilidade da frequência cardíaca e a síndrome metabólica. Métodos: Foram buscados artigos de forma sistemática nas bases de dados PubMed, Google Acadêmico, Lilacs e Cochrane, com os descritores “metabolic syndrome” AND “heart rate variability” AND “insulin resistance” Critérios de inclusão utilizados foram: 1. Estudo em humanos; 2. Pacientes acima de 18 anos; 3. Que possuam critérios diagnósticos de síndrome metabólica da OMS, NCEP-ATPIII ou IDF; 4. Com grupo controle; 5. Pacientes não possuírem outras comorbidades; 6. Que correlacionem síndrome metabólica e variabilidade da frequência cardíaca. Idiomas escolhidos foram inglês, português e espanhol. Resultados: Oito estudos cumpriram os critérios de inclusão. Em pacientes com síndrome metabólica, a variabilidade da frequência cardíaca estava mais frequentemente reduzida, acentuando em mulheres e em pacientes com mais critérios diagnósticos, e está diretamente associada à resistência insulínica. Considerações finais: A variabilidade da frequência cardíaca é afetada de forma heterogênea entre homens e mulheres com síndrome metabólica. Além disso, a análise da VFC se mostrou uma ferramenta simples e eficaz que proporciona uma avaliação e identificação de comprometimentos da saúde e, por isso, estudos sobre o tema são de suma importância.


Author(s):  
Sei Jin Chang ◽  
Sang Baek Koh ◽  
Hong Ryul Choi ◽  
Jong Min Woo ◽  
Bong Suk Cha ◽  
...  

Author(s):  
Kyoung Bok Min ◽  
Jin Young Min ◽  
Kyung Hee Jung-Choi ◽  
Hyung Joon Jhun ◽  
Sung Il Cho ◽  
...  

2017 ◽  
Vol 95 (4) ◽  
pp. 349-355 ◽  
Author(s):  
Luke Anthony Rannelli ◽  
Jennifer M. MacRae ◽  
Michelle C. Mann ◽  
Sharanya Ramesh ◽  
Brenda R. Hemmelgarn ◽  
...  

Diabetes confers greater cardiovascular risk to women than to men. Whether insulin-resistance-mediated risk extends to the healthy population is unknown. Measures of insulin resistance (fasting insulin, homeostatic model assessment, hemoglobin A1c, quantitative insulin sensitivity check index, glucose) were determined in 48 (56% female) healthy subjects. Heart rate variability (HRV) was calculated by spectral power analysis and arterial stiffness was determined using noninvasive applanation tonometry. Both were measured at baseline and in response to angiotensin II infusion. In women, there was a non-statistically significant trend towards increasing insulin resistance being associated with an overall unfavourable HRV response and increased arterial stiffness to the stressor, while men demonstrated the opposite response. Significant differences in the associations between insulin resistance and cardiovascular physiological profile exist between healthy women and men. Further studies investigating the sex differences in the pathophysiology of insulin resistance in cardiovascular disease are warranted.


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