Muscle inactivity is adversely associated with biomarkers in physically active adults.

Authors:
Arto J Pesola
Arto J Pesola
University of Jyväskylä
Finland
Arto Laukkanen
Arto Laukkanen
Neuromuscular Research Center
Olli Tikkanen
Olli Tikkanen
University of Jyväskylä
Finland
Heikki Kainulainen
Heikki Kainulainen
University of Jyväskylä
Finland
Taija Finni
Taija Finni
University of Jyväskylä
Finland

Med Sci Sports Exerc 2015 Jun;47(6):1188-96

1Department of Biology of Physical Activity, Neuromuscular Research Center, University of Jyväskylä, FINLAND; 2Department of Sport Sciences, University of Jyväskylä, FINLAND; and 3Department of Health Sciences, Gerontology Research Center, University of Jyväskylä, FINLAND.

Purpose: While the lack of muscular activity is a proposed trigger for metabolic alterations, this association has not been directly measured. We examined the associations between EMG-derived muscle inactivity and activity patterns and cardiometabolic biomarkers in healthy, physically active adults.

Methods: Data for this cross-sectional study were pooled from two studies (EMG24 and InPact), resulting in a sample of 150 individuals without known chronic diseases and with high-quality EMG data (female n = 85, male n = 65, age = 38.8 ± 10.6 yr, body mass index = 23.8 ± 3.1 kg·m⁻²). EMG was measured during one to three typical weekdays using EMG shorts, measuring quadriceps and hamstring muscle EMG. Muscle inactivity time and moderate- to vigorous-intensity muscle activity were defined as EMG amplitude below that of standing still and above that of walking 5 km·h⁻¹, respectively. Blood pressure index, waist circumference, fasting plasma glucose, HDL cholesterol, and triglycerides were measured, and long-term exercise behaviors were assessed by questionnaire.

Results: In a group of physically active participants, muscles were inactive for 65.2% ± 12.9% of the measurement time in an average of 24.1 ± 9.8-s periods. Compared to those in the lowest muscle inactivity quartile (<55.5% of measurement time), those in the highest quartile (≥74.8% of measurement time) had 0.32 mmol·L⁻¹ lower HDL cholesterol (P < 0.05) and 0.30 mM higher triglycerides (P < 0.05) independent of muscle's moderate- to vigorous-intensity activity.

Conclusions: Clinically significant differences in HDL cholesterol and triglycerides were found, favoring participants having low muscle inactivity time, independent of moderate- to vigorous-intensity muscle activity. Even physically active individuals may benefit from light-intensity activities that reduce ubiquitous muscle inactivity time.

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http://dx.doi.org/10.1249/MSS.0000000000000527DOI Listing

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June 2015
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