Isao Saito1, Koutatsu Maruyama2, Eri Eguchi3, Tadahiro Kato4, Ryoichi Kawamura5, Yasunori Takata5, Hiroshi Onuma5, Haruhiko Osawa5, Takeshi Tanigawa2. 1. Department of Community Health Systems Nursing, Ehime University Graduate School of Medicine. 2. Department of Public Health, Juntendo University Graduate School of Medicine. 3. Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences. 4. Center for Education and Educational Research, Faculty of Education, Ehime University. 5. Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine.
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.
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.
Authors: Scott M Williams; Aikaterini Eleftheriadou; Uazman Alam; Daniel J Cuthbertson; John P H Wilding Journal: Diabetes Ther Date: 2019-09-24 Impact factor: 2.945
Authors: Kathryn E Speer; Julian Koenig; Rohan M Telford; Lisa S Olive; Jocelyn K Mara; Stuart Semple; Nenad Naumovski; Richard D Telford; Andrew J McKune Journal: Prev Med Rep Date: 2021-11-16