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      Early chronotype with metabolic syndrome favours resting and exercise fat oxidation in relation to insulin‐stimulated non‐oxidative glucose disposal

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          Abstract

          New Findings

          • What is the central question of this study?

            Chronotype reflects differences in circadian‐mediated metabolic and hormonal profiles. But, does resting and/or exercise fuel use differ in early versus late chronotype as it relates to insulin sensitivity?

          • What are the main finding and its importance?

            Early chronotypes with metabolic syndrome utilized more fat during rest and exercise independent of aerobic fitness when compared with late chronotypes. Early chronotypes were also more physically active throughout the day. Greater fat use was related to non‐oxidative glucose disposal. These findings suggest that early chronotypes have differences in fuel selection that associate with type 2 diabetes risk.

          Abstract

          Early chronotypes (ECs) are often insulin‐sensitive, in part, due to physical activity behaviour. It is unclear, however, if chronotypes differ in resting and/or exercise fuel oxidation in relation to insulin action. Using the Morningness–Eveningness Questionnaire (MEQ), adults with metabolic syndrome (ATP III criteria) were classified as EC (MEQ = 63.7 ± 0.9, n = 24 (19F), 54.2 ± 1.2 years) or late chronotype (LC; MEQ = 47.2 ± 1.4, n = 27 (23F), 55.3 ± 1.5 years). Carbohydrate (CHO) and fat oxidation (FOX, indirect calorimetry) were determined at rest, 55% and 85% V ˙ O 2 max , along with heart rate and rating of perceived exertion. Physical activity patterns (accelerometers), body composition (DXA) and insulin sensitivity (clamp, 40 mU/m 2/min, 90 mg/dl) with an indirect calorimetry for non‐oxidative glucose disposal (NOGD) were also determined. While demographics were similar, ECs had higher V ˙ O 2 max ( P = 0.02), NOGD ( P < 0.001) and resting FOX ( P = 0.02) than LCs. Both groups increased CHO reliance during exercise at 55% and 85% V ˙ O 2 max (test effect, P < 0.01) from rest, although ECs used more fat (group effect, P < 0.01). ECs had lower sedentary behaviour and more physical activity during morning/midday (both, P < 0.05). FOX at 55% V ˙ O 2 max correlated with V ˙ O 2 max ( r = 0.425, P = 0.004) whereas FOX at 85% V ˙ O 2 max related to NOGD ( r = 0.392, P = 0.022). ECs with metabolic syndrome used more fat in relation to insulin‐stimulated NOGD.

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          Most cited references38

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          Physical activity in the United States measured by accelerometer.

          To describe physical activity levels of children (6-11 yr), adolescents (12-19 yr), and adults (20+ yr), using objective data obtained with accelerometers from a representative sample of the U.S. population. These results were obtained from the 2003-2004 National Health and Nutritional Examination Survey (NHANES), a cross-sectional study of a complex, multistage probability sample of the civilian, noninstitutionalized U.S. population in the United States. Data are described from 6329 participants who provided at least 1 d of accelerometer data and from 4867 participants who provided four or more days of accelerometer data. Males are more physically active than females. Physical activity declines dramatically across age groups between childhood and adolescence and continues to decline with age. For example, 42% of children ages 6-11 yr obtain the recommended 60 min x d(-1) of physical activity, whereas only 8% of adolescents achieve this goal. Among adults, adherence to the recommendation to obtain 30 min x d(-1) of physical activity is less than 5%. Objective and subjective measures of physical activity give qualitatively similar results regarding gender and age patterns of activity. However, adherence to physical activity recommendations according to accelerometer-measured activity is substantially lower than according to self-report. Great care must be taken when interpreting self-reported physical activity in clinical practice, public health program design and evaluation, and epidemiological research.
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            Calibration of the Computer Science and Applications, Inc. accelerometer.

            We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
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              Calibration of the Computer Science and Applications, Inc. accelerometer

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                Author and article information

                Contributors
                steven.malin@rutgers.edu
                Journal
                Exp Physiol
                Exp Physiol
                10.1111/(ISSN)1469-445X
                EPH
                expphysiol
                Experimental Physiology
                John Wiley and Sons Inc. (Hoboken )
                0958-0670
                1469-445X
                19 September 2022
                01 November 2022
                : 107
                : 11 ( doiID: 10.1113/eph.v107.11 )
                : 1255-1264
                Affiliations
                [ 1 ] Rutgers University New Brunswick NJ USA
                [ 2 ] University of Virginia Charlottesville VA USA
                [ 3 ] Division of Endocrinology Metabolism and Nutrition Rutgers University New Brunswick NJ USA
                [ 4 ] New Jersey Institute for Food Nutrition and Health Rutgers University New Brunswick NJ USA
                [ 5 ] Institute of Translational Medicine and Science Rutgers University New Brunswick NJ USA
                [ 6 ] Virginia Commonwealth University Richmond VA USA
                Author notes
                [*] [* ] Correspondence

                Steven K. Malin, Department of Kinesiology and Health, 70 Lipman Dr, Loree Gymnasium, New Brunswick, NJ 08091, USA.

                Email: steven.malin@ 123456rutgers.edu

                Author information
                https://orcid.org/0000-0002-7360-6711
                https://orcid.org/0000-0002-8741-2782
                Article
                EPH13235
                10.1113/EP090613
                9633545
                36123314
                eeb32956-6f0d-46f1-89eb-3370ca9084a7
                © 2022 The Authors. Experimental Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 June 2022
                : 08 August 2022
                Page count
                Figures: 2, Tables: 3, Pages: 10, Words: 6722
                Funding
                Funded by: National Institutes of Health , doi 10.13039/100000002;
                Award ID: RO1‐HL130296
                Categories
                Research Article
                Research Articles
                Environmental & Exercise
                Custom metadata
                2.0
                1 November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:08.01.2023

                Anatomy & Physiology
                exercise intensity,insulin sensitivity,metabolic syndrome,oxidative capacity,substrate utilization

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