Early chronotype with metabolic syndrome favours resting and exercise fat oxidation in relation to insulin‐stimulated non‐oxidative glucose disposal
Open accessAbstract
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. 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% , 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 (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% (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% correlated with (r = 0.425, P = 0.004) whereas FOX at 85% 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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The evening chronotype has been linked to greater risk of depression and anxiety, greater dietary energy density, reduced physical activity, and lower cardiorespiratory fitness.
“Importantly, the evening chronotype has been linked to greater risk of depression and anxiety, 25 greater dietary energy density, 26 as well as reduced physical activity and lower cardiorespiratory fitness, 27”
From The effects of sleep disruption on metabolism, hunger, and satiety, and the influence of psychosocial stress and exercise: A narrative review (2024) · cites this paper as [27]
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Cites
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526 · see citing works
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638 · see citing works
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825 · see citing works
Metabolic Flexibility in Health and Disease
Goodpaster, B. H., & Sparks, L. M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.015 · Cited by 995 · see citing works
Circadian regulation of glucose, lipid, and energy metabolism in humans
Poggiogalle, E., Jamshed, H., & Peterson, C. M. (2017) · Metabolism · doi:10.1016/j.metabol.2017.11.017 · Cited by 716 · see citing works
Carey, D., Jenkins, A. B., Campbell, L. V., Freund, J., & Chisholm, D. J. (1996) · Diabetes · doi:10.2337/diab.45.5.633 · Cited by 659 · see citing works
Sherman, W., Costill, D., Fink, W., & Miller, J. (1981) · International Journal of Sports Medicine · doi:10.1055/s-2008-1034594 · Cited by 325 · see citing works
Insulin resistance, inflammation, and the prediabetic state
Haffner, S. M. (2003) · The American Journal of Cardiology · doi:10.1016/s0002-9149(03)00612-x · Cited by 268 · see citing works
Muscle Oxidative Capacity Is a Better Predictor of Insulin Sensitivity than Lipid Status
Bruce, C. R., Anderson, M. J., Carey, A. L., Newman, D. G., Bonen, A., Kriketos, A. D., Cooney, G. J., & Hawley, J. A. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030791 · Cited by 234 · see citing works
Training-induced alterations of carbohydrate metabolism in women: women respond differently from men
Friedlander, A. L., Casazza, G. A., Horning, M. A., Huie, M. J., Piacentini, M. F., Trimmer, J. K., & Brooks, G. A. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.3.1175 · Cited by 216 · see citing works
Circadian Rhythm Abnormalities
Zee, P. C., Attarian, H. P., & Videnović, A. (2013) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/01.con.0000427209.21177.aa · Cited by 205 · see citing works
Atlas of exercise metabolism reveals time-dependent signatures of metabolic homeostasis
Sato, S., Dyar, K. A., Treebak, J. T., Jepsen, S. L., Ehrlich, A. M., Ashcroft, S. P., Trost, K., Kunzke, T., Prade, V. M., Small, L., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2021.12.016 · Cited by 203 · see citing works
Endurance Training and Obesity
Venables, M., & Jeukendrup, A. E. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815f256f · Cited by 189 · see citing works
Effects of exercise intensity and training on lipid metabolism in young women.
Friedlander, A., Casazza, G., Horning, M., Buddinger, T. F., & Brooks, G. (1998) · American Journal of Physiology. Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.275.5.e853 · Cited by 182 · see citing works
Morning Circadian Misalignment during Short Sleep Duration Impacts Insulin Sensitivity
Eckel, R. H., Depner, C. M., Perreault, L., Markwald, R. R., Smith, M. R., McHill, A. W., HIGGINS, J. A., Melanson, E. L., & Wright, K. P. (2015) · Current Biology · doi:10.1016/j.cub.2015.10.011 · Cited by 173 · see citing works
Effects of Obesity on Substrate Utilization during Exercise
Goodpaster, B. H., Wolfe, R. R., & Kelley, D. E. (2002) · Obesity Research · doi:10.1038/oby.2002.78 · Cited by 169 · see citing works
Regulation of skeletal muscle mitochondrial fatty acid metabolism in lean and obese individuals
Holloway, G. P., Bonen, A., & Spriet, L. L. (2008) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26717b · Cited by 140 · see citing works
Intramuscular lipid oxidation and obesity
Houmard, J. A. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00396.2007 · Cited by 118 · see citing works
Crook, S., Sievi, N. A., Bloch, K. E., Stradling, J. R., Frei, A. L., Puhan, M. A., & Kohler, M. (2018) · Thorax · doi:10.1136/thoraxjnl-2018-211959 · Cited by 104 · see citing works
The Big Breakfast Study: Chrono‐nutrition influence on energy expenditure and bodyweight
Ruddick-Collins, L. C., Johnston, J. D., Morgan, P. J., & Johnstone, A. M. (2018) · Nutrition Bulletin · doi:10.1111/nbu.12323 · Cited by 87 · see citing works
Simon, S. L., McWhirter, L., Diniz Behn, C., Bubar, K. M., Kaar, J. L., Pyle, L., Rahat, H., Garcia-Reyes, Y., Carreau, A.-M., Wright, K. P., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02385 · Cited by 87 · see citing works
Colberg, S. R., Hagberg, J. M., McCole, S. D., Zmuda, J. M., Thompson, P. D., & Kelley, D. E. (1996) · Journal of Applied Physiology · doi:10.1152/jappl.1996.81.5.2027 · Cited by 85 · see citing works
Effects of insulin resistance on substrate utilization during exercise in overweight women
Braun, B., Sharoff, C., Chipkin, S. R., & Beaudoin, F. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00231.2004 · Cited by 84 · see citing works
Kanaley, J. A., Cryer, P. E., & Jensen, M. D. (1993) · Journal of Clinical Investigation · doi:10.1172/jci116559 · Cited by 77 · see citing works
Qian, J., Walkup, M. P., Chen, S., Brubaker, P. H., Bond, D. S., Richey, P. A., Jakicic, J. M., Hu, K., Scheer, F. A. J. L., & Middelbeek, R. J. W. (2021) · Diabetes Care · doi:10.2337/dc20-2178 · Cited by 75 · see citing works
Osonoi, Y., Mita, T., Osonoi, T., Saito, M., Tamasawa, A., Nakayama, S., Someya, Y., Ishida, H., Kanazawa, A., Gosho, M., et al. (2014) · Chronobiology International · doi:10.3109/07420528.2014.943843 · Cited by 68 · see citing works
Friedlander, A. L., Jacobs, K. A., Fattor, J. A., Horning, M. A., Hagobian, T. A., Bauer, T. A., Wolfel, E. E., & Brooks, G. A. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00148.2006 · Cited by 67 · see citing works
Shechter, A., & St-Onge, M.-P. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2014.07.010 · Cited by 63 · see citing works
Physical behaviors and chronotype in people with type 2 diabetes
Henson, J. J., Rowlands, A. V., Baldry, E. L., Brady, E. M., Davies, M. J., Edwardson, C. L., Yates, T. E., & Hall, A. P. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001375 · Cited by 54 · see citing works
Færch, K., & Vaag, A. (2011) · Acta Diabetologica · doi:10.1007/s00592-010-0245-x · Cited by 52 · see citing works
Glucose Tolerance is Linked to Postprandial Fuel Use Independent of Exercise Dose
Gilbertson, N. M., Eichner, N. Z. M., François, M. E., Gaitán, J. M., Heiston, E. M., WELTMAN, A. L., & Malin, S. K. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001667 · Cited by 42 · see citing works
Self-citationRemchak, M. E., Heiston, E. M., Ballantyne, A. C., Dotson, B. L., Stewart, N. R., Spaeth, A. M., & Malin, S. K. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac233 · Cited by 31 · see citing works
Self-citationCabrera, J. R., Garaulet, M., Torres, J., Díaz, J. F. A., Navarro, G. M. Q., Piedra, L., Peńa, J., Cantalejo, F. R., Rangel-Zúñiga, O., Yubero-Serrano, E., et al. (2021) · Translational Research: The Journal of Laboratory and Clinical Medicine · doi:10.1016/j.trsl.2021.11.001 · Cited by 27 · see citing works
Gaitán, J. M., Eichner, N. Z. M., Gilbertson, N. M., Heiston, E. M., WELTMAN, A. L., & Malin, S. K. (2019) · PubMed Central · Cited by 22 · see citing works
Self-citationMalin, S. K., Viskochil, R. H., Oliver, C., & Braun, B. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00084.2013 · Cited by 17 · see citing works
Self-citationRemchak, M. E., Piersol, K. L., Bhatti, S., Spaeth, A. M., Buckman, J. F., & Malin, S. K. (2021) · Nutrients · doi:10.3390/nu13051708 · Cited by 17 · see citing works
Self-citationYuan, R. K., Zitting, K.-M., Duffy, J., Vujović, N., Wang, W., Quan, S. F., Klerman, E., Scheer, F., Buxton, O., Williams, J. S., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.764737 · Cited by 17 · see citing works
Do Acute Exercise and Diet Reveal the Molecular Basis for Metabolic Flexibility in Skeletal Muscle?
Goodpaster, B. H., & Coen, P. M. (2012) · Diabetes · doi:10.2337/db12-0152 · Cited by 5 · see citing works
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2 of the 40 references couldn’t be matched to a known paper.
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Sorted by citations
Rogers, E. M., Banks, N. F., & Jenkins, N. D. M. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3667 · Cited by 62 · see citing works
Chronotype and Cancer: Emerging Relation Between Chrononutrition and Oncology from Human Studies
Godos, J., Currenti, W., Ferri, R., Lanza, G., Caraci, F., Frias-Toral, E., Guglielmetti, M., Ferraris, C., Lipari, V., Carvajal Altamiranda, S., et al. (2025) · Nutrients · doi:10.3390/nu17030529 · Cited by 22 · see citing works
Remchak, M. E., Dosik, J. K., Pappas, G., Gow, A. J., Shah, A. M., & Malin, S. K. (2023) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00149.2023 · Cited by 17 · see citing works
Self-citationRiddell, M. C., Turner, L. V., & Patton, S. R. (2023) · Diabetes Spectrum · doi:10.2337/dsi22-0017 · Cited by 15 · see citing works
Ma, T., Bennett, T., Lee, C., & Wicklow, M. (2023) · Obesity · doi:10.1002/oby.23851 · Cited by 13 · see citing works
Early chronotype favors appetite and reduced later day caloric intake among adults with obesity
Malin, S. K., Syeda, U. S. A., Remchak, M. E., & Heiston, E. M. (2024) · Chronobiology International · doi:10.1080/07420528.2024.2313643 · Cited by 12 · see citing works
Self-citationPelczyńska, M., Moszak, M., Wojciechowska, J., Płócienniczak, A., Potocki, J., Blok, J., Balcerzak, J., Zblewski, M., & Bogdański, P. (2024) · Nutrients · doi:10.3390/nu17010080 · Cited by 13 · see citing works
Intermediate versus morning chronotype has lower vascular insulin sensitivity in adults with obesity
Malin, S. K., Remchak, M. E., Heiston, E. M., Battillo, D. J., Gow, A. J., Shah, A. M., & Liu, Z. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15456 · Cited by 12 · see citing works
Self-citationFaiz, H., Heiston, E. M., & Malin, S. K. (2023) · Journal of Diabetes Research · doi:10.1155/2023/4618215 · Cited by 9 · see citing works
Self-citationBattillo, D. J., & Malin, S. K. (2025) · Experimental Physiology · doi:10.1113/ep092550 · Cited by 5 · see citing works
Self-citationWang, W., Liu, K., Xu, H., Zhang, C., Zhang, Y., Ding, M., Xing, C., Huang, X., Wen, Q., Lu, C., et al. (2024) · Journal of Physiology and Biochemistry · doi:10.1007/s13105-024-01024-z · Cited by 6 · see citing works
Exercise time of day and blood pressure: Considering chronotype for precision health
Malin, S. K. (2024) · Journal of Human Hypertension · doi:10.1038/s41371-024-00929-y · Cited by 4 · see citing works
Self-citationThomas, J. V., Davy, B. M., Winett, R. A., Depner, C. M., Drummond, M. J., Estabrooks, P. A., Hardikar, S. S., Ou, Z., Shen, J., & Halliday, T. M. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00507.2024 · Cited by 4 · see citing works
Gills, J. L., Napoleon, D. A., Budak, M., Fausto, B. A., Gluck, M. A., & Malin, S. K. (2024) · Physiological Reports · doi:10.14814/phy2.16084 · Cited by 2 · see citing works
Self-citationCircadian rhythms and gastrointestinal hormone-related appetite regulation
Malin, S. K. (2025) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000908 · Cited by 2 · see citing works
Self-citationJeong, S., Jang, E.-J., Jung, S., Kim, J., Jeong, M., Han, D., Park, S., & on behalf of the GOMS study group, K. S. F. T. S. O. O. (2025) · Nutrition Research and Practice · doi:10.4162/nrp.2025.19.4.591 · Cited by 1 · see citing works
Circadian rhythm disorder induced type 2 diabetes mellitus: pathogenesis and therapeutics
Shi, H. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v54i.9792
Exploring the Relationship between Chronotype and Waist Circumference: A Scoping Review
Barve, S. S., Joshi, S. G., & Duraphe, P. S. (2025) · Sleep Science · doi:10.1055/s-0044-1801337
de Kam, S. S., Reed, T. D., Rutters, F., Campbell, D. N., Raina, P. S., de Mutsert, R., Després, J., Joris Hoeks, J., Blondin, D. P., Carpentier, A. C., et al. (2026) · Diabetologia · doi:10.1007/s00125-026-06871-7
- Authors
- Malin, S. K., Remchak, M. E., Smith, A. J., Ragland, T. J., Heiston, E. M., & Cheema, U.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Virginia Commonwealth University (US)
- University of Virginia (US)
- Corresponding author
- Malin, Steven K.
- Venue
- Experimental Physiology
- Publisher
- Wiley
- Published
- 2022-09-19
- Volume
- 107
- Issue
- 11
- Pages
- 1255-1264
- ISSN
- 0958-0670 (ISSN-L)
- 1469-445X
- PMC
- PMC9633545
- OpenAlex
- W4296522606
- Cited by
- 19
- References
- 40
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 6 · 2023: 6
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Experimental Physiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (RO1‐HL130296)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- chronotype, metabolic syndrome, fat oxidation, carbohydrate oxidation, insulin sensitivity, fuel selection, physical activity patterns, sedentary behavior, type 2 diabetes risk, circadian rhythm, glucose disposal, heart rate, rating of perceived exertion, body composition, cardiorespiratory fitness
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 2, Glucose, Humans, Insulin, Insulin Resistance, Exercise, Metabolic Syndrome
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