Low heart rate variability and sympathetic dominance modifies the association between insulin resistance and metabolic syndrome: ― The Toon Health Study ―

Isao Saito, Koutatsu Maruyama, Eri Eguchi, Tadahiro Kato, Ryoichi Kawamura, Yasunori Takata, Hiroshi Onuma, Haruhiko Osawa, Takeshi Tanigawa

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Background: Insulin resistance is strongly associated with metabolic syndrome (MetS), but it is not known how this association is influenced by the autonomic nervous system, which controls insulin secretion. Methods and Results: The subjects were 2,016 individuals aged 30-79 years enrolled between 2009 and 2012. MetS was determined using the harmonized MetS definition, which includes waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting glucose. The homeostasis model assessment index for insulin resistance (HOMA-IR) and Gutt’s insulin sensitivity index (ISI) were calculated based on fasting and 2 h-post-load glucose and insulin concentrations in a 75-g oral glucose tolerance test. The 5-min heart rate variability (HRV) was evaluated using time-domain indices of standard deviations of NN intervals (SDNN) and root mean square of successive differences (RMSSD). Power spectral analysis yielded frequency-domain measures for HRV: high-frequency (HF) power, low-frequency (LF) power and LF/HF. Multivariable adjusted logistic models showed that the highest quartiles for SDNN, RMSSD, LF, and HF vs. the lowest quartiles had a significant association with MetS. RMSSD, HF, and LF/HF remained significantly associated with MetS after adjustment for HOMA-IR (or ISI). Additive interactions between the levels of high LF/HF and high HOMA-IR (or low ISI) were significantly positive. Conclusions: Sympathovagal imbalance as evidenced by low HF and high LF/HF modified the association of insulin resistance or low insulin sensitivity with MetS.

Original languageEnglish
Pages (from-to)1447-1453
Number of pages7
JournalCirculation Journal
Volume81
Issue number10
DOIs
Publication statusPublished - 2017

Fingerprint

Insulin Resistance
Heart Rate
Health
Homeostasis
Fasting
Insulin
Glucose
Autonomic Nervous System
Waist Circumference
Glucose Tolerance Test
HDL Cholesterol
Triglycerides
Logistic Models
Blood Pressure
Power (Psychology)

Keywords

  • Epidemiology
  • Heart rate variability
  • Insulin sensitivity
  • Metabolic syndrome

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Low heart rate variability and sympathetic dominance modifies the association between insulin resistance and metabolic syndrome : ― The Toon Health Study ―. / Saito, Isao; Maruyama, Koutatsu; Eguchi, Eri; Kato, Tadahiro; Kawamura, Ryoichi; Takata, Yasunori; Onuma, Hiroshi; Osawa, Haruhiko; Tanigawa, Takeshi.

In: Circulation Journal, Vol. 81, No. 10, 2017, p. 1447-1453.

Research output: Contribution to journalArticle

Saito, Isao ; Maruyama, Koutatsu ; Eguchi, Eri ; Kato, Tadahiro ; Kawamura, Ryoichi ; Takata, Yasunori ; Onuma, Hiroshi ; Osawa, Haruhiko ; Tanigawa, Takeshi. / Low heart rate variability and sympathetic dominance modifies the association between insulin resistance and metabolic syndrome : ― The Toon Health Study ―. In: Circulation Journal. 2017 ; Vol. 81, No. 10. pp. 1447-1453.
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T1 - Low heart rate variability and sympathetic dominance modifies the association between insulin resistance and metabolic syndrome

T2 - ― The Toon Health Study ―

AU - Saito, Isao

AU - Maruyama, Koutatsu

AU - Eguchi, Eri

AU - Kato, Tadahiro

AU - Kawamura, Ryoichi

AU - Takata, Yasunori

AU - Onuma, Hiroshi

AU - Osawa, Haruhiko

AU - Tanigawa, Takeshi

PY - 2017

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N2 - Background: Insulin resistance is strongly associated with metabolic syndrome (MetS), but it is not known how this association is influenced by the autonomic nervous system, which controls insulin secretion. Methods and Results: The subjects were 2,016 individuals aged 30-79 years enrolled between 2009 and 2012. MetS was determined using the harmonized MetS definition, which includes waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting glucose. The homeostasis model assessment index for insulin resistance (HOMA-IR) and Gutt’s insulin sensitivity index (ISI) were calculated based on fasting and 2 h-post-load glucose and insulin concentrations in a 75-g oral glucose tolerance test. The 5-min heart rate variability (HRV) was evaluated using time-domain indices of standard deviations of NN intervals (SDNN) and root mean square of successive differences (RMSSD). Power spectral analysis yielded frequency-domain measures for HRV: high-frequency (HF) power, low-frequency (LF) power and LF/HF. Multivariable adjusted logistic models showed that the highest quartiles for SDNN, RMSSD, LF, and HF vs. the lowest quartiles had a significant association with MetS. RMSSD, HF, and LF/HF remained significantly associated with MetS after adjustment for HOMA-IR (or ISI). Additive interactions between the levels of high LF/HF and high HOMA-IR (or low ISI) were significantly positive. Conclusions: Sympathovagal imbalance as evidenced by low HF and high LF/HF modified the association of insulin resistance or low insulin sensitivity with MetS.

AB - Background: Insulin resistance is strongly associated with metabolic syndrome (MetS), but it is not known how this association is influenced by the autonomic nervous system, which controls insulin secretion. Methods and Results: The subjects were 2,016 individuals aged 30-79 years enrolled between 2009 and 2012. MetS was determined using the harmonized MetS definition, which includes waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting glucose. The homeostasis model assessment index for insulin resistance (HOMA-IR) and Gutt’s insulin sensitivity index (ISI) were calculated based on fasting and 2 h-post-load glucose and insulin concentrations in a 75-g oral glucose tolerance test. The 5-min heart rate variability (HRV) was evaluated using time-domain indices of standard deviations of NN intervals (SDNN) and root mean square of successive differences (RMSSD). Power spectral analysis yielded frequency-domain measures for HRV: high-frequency (HF) power, low-frequency (LF) power and LF/HF. Multivariable adjusted logistic models showed that the highest quartiles for SDNN, RMSSD, LF, and HF vs. the lowest quartiles had a significant association with MetS. RMSSD, HF, and LF/HF remained significantly associated with MetS after adjustment for HOMA-IR (or ISI). Additive interactions between the levels of high LF/HF and high HOMA-IR (or low ISI) were significantly positive. Conclusions: Sympathovagal imbalance as evidenced by low HF and high LF/HF modified the association of insulin resistance or low insulin sensitivity with MetS.

KW - Epidemiology

KW - Heart rate variability

KW - Insulin sensitivity

KW - Metabolic syndrome

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