Compensatory mechanisms from different exercise intensities in type 2 diabetes: a secondary analysis of a 1-year randomized controlled trial.

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    • Source:
      Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9200299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-5233 (Electronic) Linking ISSN: 09405429 NLM ISO Abbreviation: Acta Diabetol Subsets: MEDLINE
    • Publication Information:
      Publication: Berlin : Springer Verlag
      Original Publication: Berlin : Springer International, c1991-
    • Subject Terms:
    • Abstract:
      Aims: This investigation aimed to determine the effect of different intensities of training on non-exercise physical activity (NEPA) and estimated thermogenesis (NEAT) from a 1-year exercise randomized controlled trial (RCT) in individuals with type 2 diabetes mellitus (T2DM) on non-training days. Additionally, changes in NEPA and estimated NEAT in those who failed (low-responders) or succeeded (high-responders) in attaining exercise-derived clinically meaningful reductions in body weight (BW) and fat mass (FM) (i.e., 6% for FM and 3% for BW) was assessed.
      Methods: Individuals with T2DM (n = 80) were enrolled in a RCT with three groups: resistance training combined with moderate-intensity continuous training (MICT) or high-intensity interval training (HIIT) and a control group. Of the 80 participants, 56 (completed data) were considered for this secondary analysis. NEPA and estimated NEAT were obtained by accelerometry and body composition through dual-energy X-ray absorptiometry.
      Results: After adjustments, no time*group interactions were found for estimated NEAT in the MICT (β = - 5.33, p = 0.366) and HIIT (β = - 5.70, p = 0.283), as well as for NEPA in the MICT (β = - 452.83, p = 0.833) and HIIT (β = - 2770.76, p = 0.201), when compared to controls. No compensatory changes in NEPA and estimated NEAT were observed when considering both low-responders and high-responders to FM and BW when compared to controls.
      Conclusions: Both MICT and HIIT did not result in any compensatory changes in estimated NEAT and NEPA with the intervention on non-training days. Moreover, no changes in estimated NEAT and NEPA were found when categorizing our participants as low-responders and high-responders to FM and BW when compared to controls. Trial registration clinicaltrials.gov ID. NCT03144505.
      (© 2023. The Author(s).)
    • References:
      Goedecke JH, Micklesfield LK (2014) The effect of exercise on obesity, body fat distribution and risk for type 2 diabetes. Med Sport Sci 60:82–93. https://doi.org/10.1159/000357338. (PMID: 10.1159/00035733825226803)
      King NA, Caudwell P, Hopkins M, et al. (2007) Metabolic and behavioral compensatory responses to exercise interventions: barriers to weight loss. Obesity (Silver Spring, Md) 15(6):1373–1383. https://doi.org/10.1038/oby.2007.164. (PMID: 10.1038/oby.2007.16417557973)
      Blundell JE, Stubbs RJ, Hughes DA, Whybrow S, King NA (2003) Cross talk between physical activity and appetite control: does physical activity stimulate appetite? Proc Nutr Soc 62(3):651–661. https://doi.org/10.1079/pns2003286. (PMID: 10.1079/pns200328614692601)
      Martin CK, Johnson WD, Myers CA, et al. (2019) Effect of different doses of supervised exercise on food intake, metabolism, and non-exercise physical activity: The E-MECHANIC randomized controlled trial. Am J Clin Nutr 110(3):583–592. https://doi.org/10.1093/ajcn/nqz054. (PMID: 10.1093/ajcn/nqz054311721756735935)
      Villablanca PA, Alegria JR, Mookadam F, Holmes DR Jr, Wright RS, Levine JA (2015) Nonexercise activity thermogenesis in obesity management. Mayo Clin Proc 90(4):509–519. https://doi.org/10.1016/j.mayocp.2015.02.001. (PMID: 10.1016/j.mayocp.2015.02.00125841254)
      Levine JA, Vander Weg MW, Hill JO, Klesges RC (2006) Non-exercise activity thermogenesis: the crouching tiger hidden dragon of societal weight gain. Arterioscler Thromb Vasc Biol 26(4):729–736. https://doi.org/10.1161/01.atv.0000205848.83210.73. (PMID: 10.1161/01.atv.0000205848.83210.7316439708)
      Levine JA (2004) Nonexercise activity thermogenesis (NEAT): environment and biology. Am J Physiol Endocrinol Metab 286(5):E675-685. https://doi.org/10.1152/ajpendo.00562.2003. (PMID: 10.1152/ajpendo.00562.200315102614)
      Dauncey MJ (1990) Activity and energy expenditure. Can J Physiol Pharmacol 68(1):17–27. https://doi.org/10.1139/y90-002. (PMID: 10.1139/y90-0022183917)
      Livingstone MB, Strain JJ, Prentice AM, et al. (1991) Potential contribution of leisure activity to the energy expenditure patterns of sedentary populations. Br J Nutr 65(2):145–155. https://doi.org/10.1079/bjn19910076. (PMID: 10.1079/bjn199100762043600)
      Ravussin E, Lillioja S, Anderson TE, Christin L, Bogardus C (1986) Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber. J Clin Invest 78(6):1568–1578. https://doi.org/10.1172/jci112749. (PMID: 10.1172/jci1127493782471423919)
      Dent R, McPherson R, Harper ME (2020) Factors affecting weight loss variability in obesity. Metabolism 113:154388. https://doi.org/10.1016/j.metabol.2020.154388. (PMID: 10.1016/j.metabol.2020.15438833035570)
      Wilding JP (2014) The importance of weight management in type 2 diabetes mellitus. Int J Clin Pract 68(6):682–691. https://doi.org/10.1111/ijcp.12384. (PMID: 10.1111/ijcp.1238424548654)
      Silva AM, Júdice PB, Carraça EV, King N, Teixeira PJ, Sardinha LB (2018) What is the effect of diet and/or exercise interventions on behavioural compensation in non-exercise physical activity and related energy expenditure of free-living adults? A systematic review. Br J Nutr 119(12):1327–1345. https://doi.org/10.1017/s000711451800096x. (PMID: 10.1017/s000711451800096x29845903)
      Schutz Y, Nguyen DM, Byrne NM, Hills AP (2014) Effectiveness of three different walking prescription durations on total physical activity in normal- and overweight women. Obes Facts 7(4):264–273. https://doi.org/10.1159/000365833. (PMID: 10.1159/000365833251372215644830)
      Paravidino VB, Mediano MFF, Crochemore-Silva I, et al. (2020) The compensatory effect of exercise on physical activity and energy intake in young men with overweight: the EFECT randomised controlled trial. Physiol Behav. https://doi.org/10.1016/j.physbeh.2020.113249. (PMID: 10.1016/j.physbeh.2020.11324933221391)
      Willis EA, Herrmann SD, Honas JJ, Lee J, Donnelly JE, Washburn RA (2014) Nonexercise energy expenditure and physical activity in the Midwest Exercise Trial 2. Med Sci Sports Exerc 46(12):2286–2294. https://doi.org/10.1249/mss.0000000000000354. (PMID: 10.1249/mss.0000000000000354246947464182343)
      Hollowell RP, Willis LH, Slentz CA, Topping JD, Bhakpar M, Kraus WE (2009) Effects of exercise training amount on physical activity energy expenditure. Med Sci Sports Exerc 41(8):1640–1644. https://doi.org/10.1249/MSS.0b013e31819c71a4. (PMID: 10.1249/MSS.0b013e31819c71a419568195)
      Boulé NG, Haddad E, Kenny GP, Wells GA, Sigal RJ (2001) Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: a meta-analysis of controlled clinical trials. JAMA 286(10):1218–1227. https://doi.org/10.1001/jama.286.10.1218. (PMID: 10.1001/jama.286.10.121811559268)
      Magalhaes JP, Judice PB, Ribeiro R, et al. (2019) Effectiveness of high-intensity interval training combined with resistance training versus continuous moderate-intensity training combined with resistance training in patients with type 2 diabetes: a one-year randomized controlled trial. Diabetes Obes Metab 21(3):550–559. https://doi.org/10.1111/dom.13551. (PMID: 10.1111/dom.1355130284352)
      Lohman T, Roche A, Martorell R (1988) Anthropometric standardization reference manual. Human Kinetics, Champaign, IL.
      Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M (2008) Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40(1):181–188. https://doi.org/10.1249/mss.0b013e31815a51b3. (PMID: 10.1249/mss.0b013e31815a51b318091006)
      Sardinha LB, Júdice PB (2017) Usefulness of motion sensors to estimate energy expenditure in children and adults: a narrative review of studies using DLW. Eur J Clin Nutr 71(3):331–339. https://doi.org/10.1038/ejcn.2017.2. (PMID: 10.1038/ejcn.2017.228145419)
      Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR Jr (2010) Refined two-regression model for the ActiGraph accelerometer. Med Sci Sports Exerc 42(5):1029–1037. https://doi.org/10.1249/MSS.0b013e3181c37458. (PMID: 10.1249/MSS.0b013e3181c37458204008822891855)
      Aguilar-Farias N, Peeters GMEE, Brychta RJ, Chen KY, Brown WJ (2019) Comparing ActiGraph equations for estimating energy expenditure in older adults. J Sports Sci 37(2):188–195. https://doi.org/10.1080/02640414.2018.1488437. (PMID: 10.1080/02640414.2018.148843729912666)
      Bonafiglia JT, Nelms MW, Preobrazenski N, et al. (2018) Moving beyond threshold-based dichotomous classification to improve the accuracy in classifying non-responders. Physiol Rep 6(22):13928. https://doi.org/10.14814/phy2.13928. (PMID: 10.14814/phy2.13928)
      Brennan AM, Day AG, Cowan TE, Clarke GJ, Lamarche B, Ross R (2020) Individual response to standardized exercise: total and abdominal adipose tissue. Med Sci Sports Exerc 52(2):490–497. https://doi.org/10.1249/MSS.0000000000002140. (PMID: 10.1249/MSS.000000000000214031479006)
      Walsh JJ, Bonafiglia JT, Goldfield GS, et al. (2020) Interindividual variability and individual responses to exercise training in adolescents with obesity. Appl Physiol Nutr Metab 45(1):45–54. https://doi.org/10.1139/apnm-2019-0088. (PMID: 10.1139/apnm-2019-008831121100)
      Washburn RA, Lambourne K, Szabo AN, Herrmann SD, Honas JJ, Donnelly JE (2014) Does increased prescribed exercise alter non-exercise physical activity/energy expenditure in healthy adults? A systematic review. Clin Obesity 4(1):1–20. https://doi.org/10.1111/cob.12040. (PMID: 10.1111/cob.12040)
      US (2018) Department of Health and Human Services. Physical activity guidelines advisory committee. 2018 physical activity guidelines advisory committee scientific report.
      Fedewa MV, Hathaway ED, Williams TD, Schmidt MD (2017) Effect of exercise training on non-exercise physical activity: a systematic review and meta-analysis of randomized controlled trials. Sports Med 47(6):1171–1182. https://doi.org/10.1007/s40279-016-0649-z. (PMID: 10.1007/s40279-016-0649-z27873191)
      Drenowatz C, Grieve G, Demello M (2015) Change in energy expenditure and physical activity in response to aerobic and resistance exercise programs. Springerplus 4:798. https://doi.org/10.1186/s40064-015-1594-2. (PMID: 10.1186/s40064-015-1594-2267023874688292)
      Herrmann SD, Willis EA, Honas JJ, Lee J, Washburn RA, Donnelly JE (2015) Energy intake, nonexercise physical activity, and weight loss in responders and nonresponders: the Midwest Exercise Trial 2. Obesity 23(8):1539–1549. https://doi.org/10.1002/oby.21073. (PMID: 10.1002/oby.2107326193059)
      Mathie MJ, Coster AC, Lovell NH, Celler BG (2004) Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol Meas 25(2):R1-20. https://doi.org/10.1088/0967-3334/25/2/r01. (PMID: 10.1088/0967-3334/25/2/r0115132305)
      Caron N, Peyrot N, Caderby T, Verkindt C, Dalleau G (2020) Estimating energy expenditure from accelerometer data in healthy adults and patients with type 2 diabetes. Exp Gerontol 134:110894. https://doi.org/10.1016/j.exger.2020.110894. (PMID: 10.1016/j.exger.2020.11089432142737)
      ADA (2013) Standards of medical care in diabetes--2013. Diabetes Care 36(Suppl 1):S11–66. https://doi.org/10.2337/dc13-S011.
    • Grant Information:
      UIDB/00447/2020 Fundação para a Ciência e a Tecnologia; SFRH/BD/149394/2019 Fundação para a Ciência e a Tecnologia; SFRH/BD/ 85742/2012 Fundação para a Ciência e a Tecnologia; SFRH/BPD/115977/2016 Fundação para a Ciência e a Tecnologia; 2020.07856.BD Fundação para a Ciência e a Tecnologia; 2020 Fundação para a Ciência e a Tecnologia
    • Contributed Indexing:
      Keywords: Compensation; Diabetes mellitus; HIIT; NEAT; NEPA; Spontaneous activity
    • Molecular Sequence:
      ClinicalTrials.gov NCT03144505
    • Publication Date:
      Date Created: 20230202 Date Completed: 20230403 Latest Revision: 20230421
    • Publication Date:
      20231215
    • Accession Number:
      PMC10063485
    • Accession Number:
      10.1007/s00592-023-02038-7
    • Accession Number:
      36729308