Effect of Exercise Intensity on Spontaneous Physical Activity Energy Expenditure in Overweight Boys: A Crossover Study

Vitor Barreto Paravidino, Mauro Felippe Felix Mediano, Daniel J Hoffman, Rosely Sichieri, Vitor Barreto Paravidino, Mauro Felippe Felix Mediano, Daniel J Hoffman, Rosely Sichieri

Abstract

Objective: Evaluate the effect of different exercise intensities on spontaneous physical activity energy expenditure in overweight adolescents.

Methods: A crossover study was developed with a control session, followed by moderate and vigorous exercise sessions, with six days of monitoring each. Twenty-four adolescents, 11-13 years old, male and overweight were selected. Spontaneous physical activity energy expenditure was assessed by accelerometers. Linear mixed effects models were used to evaluate the differences per session across time.

Results: Energy expenditure during the 1st hour was different between all three sessions, with averages of 82, 286 and 343 kcal to the control, moderate and vigorous sessions, respectively (p <0.001). The same pattern of difference in energy expenditure between the sessions remained after 24 hours (704 vs 970 vs 1056 kcal, p <0.001). However, energy expenditure during the six days indicates compensation from second to the sixth day, although small differences remained at the end of the 6-day period (5102 vs 5193 vs 5271 kcal, p <0.001).

Conclusions: A single aerobic session seems to modify the spontaneous physical activities in overweight adolescents but still keeping the vigorous session with higher total energy expenditure during the follow-up period. Despite the observed compensatory effect, the greater energy expenditure observed in both moderate and vigorous exercise sessions indicates that physical activity should be recommended to promote an increased energy expenditure in adolescents.

Trial registration: ClinicalTrials.gov NCT 02272088.

Trial registration: ClinicalTrials.gov NCT02272088.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1. Flow diagram of participants through…
Fig 1. Flow diagram of participants through the study.
Fig 2. Estimated mean values of the…
Fig 2. Estimated mean values of the cumulative energy expenditure in 24 hours (A) and 144 hours (B) monitoring.
‡ moderate vs. control; # moderate vs. vigorous; * vigorous vs. control.
Fig 3. Estimated mean values of energy…
Fig 3. Estimated mean values of energy expenditure per day for 6 days monitoring.
Linear mixed model with time, group * time, time*time, group * time * time, adjusted for EE for the 1st hour. ‡ moderate vs. control; # moderate vs. vigorous; * vigorous vs. control.

References

    1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014; 384: 766–781. 10.1016/S0140-6736(14)60460-8
    1. World Health Organization. WHO Global strategy on diet, physical activity and health France: World Health Organization, 2009.
    1. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001; 357: 505–508.
    1. Sichieri R. Consumo alimentar no Brasil e o desafio da alimentação saudável. ComCiência. 2013; 145.
    1. Saris WH, Blair SN, van Baak MA et al. How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO 1st Stock Conference and consensus statement. Obes Ver. 2003; 4: 101–114.
    1. Institute of Medicine, Panel on Macronutrients, Standing Committee on the Scientific Evaluation of Dietary Reference Intakes. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Natl Academy Press: Washington DC; 2005.
    1. Donnelly JE, Blair SN, Jakicic JM et al. American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc. 2009; 41: 459–471. 10.1249/MSS.0b013e3181949333
    1. Tremblay A, Simoneau JA, Bouchard C. Impact of exercise intensity on body fatness and skeletal muscle metabolism. Metabolism. 1994; 43: 814–818.
    1. Landry BW, Driscoll SW. Physical activity in children and adolescents. PM R. 2012; 4: 826–832. 10.1016/j.pmrj.2012.09.585
    1. Harris KC, Kuramoto LK, Schulzer M, Retallack JE. Effect of school-based physical activity interventions on body mass index in children: a meta-analysis. CMAJ. 2009; 180:719–726. 10.1503/cmaj.080966
    1. Dobbins M, Husson H, DeCorby K, LaRocca RL. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev. 2013; 2: CDOO7651.
    1. Vasconcellos F, Seabra A, Katzmarzyk PT, Kraemer-Aguiar LG, Bouskela E, Farinatti P. Physical Activity in Overweight and Obese Adolescents: Systematic Review of the Effects on Physical Fitness Components and Cardiovascular Risk Factors. Sports Med. 2014; 44: 1139–1152. 10.1007/s40279-014-0193-7
    1. Church TS, Martin CK, Thompson AM et al. Changes in weight, waist circumference and compensatory responses with different doses of exercise among sedentary, overweight postmenopausal women. Plos One. 2009; 4: e4515 10.1371/journal.pone.0004515
    1. King NA, Caudwell P, Hopkins M et al. Metabolic and behavioral compensatory responses to exercise interventions: barriers to weight loss. Obesity. 2007; 15: 1373–1383.
    1. Westerterp K. Pattern and intensity of physical activity. Nature. 2001; 410: 539.
    1. Manthou E, Gill JMR, Wright A, Malkova D. Behavioral compensatory adjustments to exercise training in overweight women. Med Sci Sports Exerc. 2010; 42: 1221–1228.
    1. Epstein LH, Wing RR. Aerobic exercise and weight. Addict Behav. 1980; 5:371–388.
    1. Rowland TW. The biological basis of physical activity. Med Sci Sports Exerc. 1998; 30: 392–399.
    1. Kriemler S, Hebestreit H, Mikami S, Bar-Or T, Ayub BV, Bar-Or O. Impact of a single exercise bout on energy expenditure and spontaneous physical activity of obese boys. Pediatr Res. 1999; 46: 40–44.
    1. Thivel D, Aucouturier J, Metz L, Morio B, Duche P. Is there spontaneous energy expenditure compensation in response to intensive exercise in obese youth? Pediatr Obes. 2014; 9:147–154. 10.1111/j.2047-6310.2013.00148.x
    1. Washburn RA, Lambourne K, Szabo AN, Herrmann SD, Honas JJ, Donnelly JE. Does increased prescribed exercise alter non-exercise physical activity/energy expenditure in healthy adults? A systematic review. Clin Obes. 2014; 4: 1–20. 10.1111/cob.12040
    1. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007; 85: 660–667.
    1. Shephard RJ, Cox MH, Simper K. An analysis of "PAR-Q" responses in an office population. Can J Public Health. 1981; 72: 37–40.
    1. Leger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. 1988; 6: 93–101.
    1. Veses AM, Martinez-Gomez D, Gomez-Martinez S, Vicente-Rodriguez G, Castillo R, Ortega FB, et al. Physical fitness, overweight and the risk of eating disorders in adolescents. The AVENA and AFINOS studies. Pediatr Obes. 2014; 9:1–9. 10.1111/j.2047-6310.2012.00138.x
    1. American College of Sports Medicine. ACSM’ Guidelines for exercise testing and prescription 8th ed. Philadelphia: Lippincott Willians & Wilkins; 2009.
    1. Heil DP. Predicting activity energy expenditure using the Actical activity monitor. Res Q Exerc Sport. 2006; 77: 64–80.
    1. Wolff-Hughes DL, Bassett DR, Fitzhugh EC. Population-referenced percentiles for waist-worn accelerometer derived total activity counts in U.S. youth: 2003–2006 NHANES. Plos One. 2014; 9: 1–14.
    1. Wang YC, Gortmaker SL, Sobol AM, Kuntz KM. Estimating the energy gap among US children: a counterfactual approach. Pediatrics. 2006; 118: e1721–1733.
    1. van Belle G. Statistical rules of thumb 2nd ed. John Wiley and Sons: New York, 2008.
    1. Julious SA. Sample size for clinical trials Boca Raton: CRC Press; 2010.
    1. Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis 2nd ed. New Jersey: Hoboken; 2011.
    1. Fremeaux AE, Mallam KM, Metcalf BS, Hosking J, Voss LD, Wilkin TJ. The impact of school-time activity on total physical activity: the activitystat hypothesis (EarlyBird 46). Int J Obes (Lond). 2011; 35:1277–1283.
    1. Wilkin TJ, Mallam KM, Metcalf BS, Jeffery AN, Voss LD. Variation in physical activity lies with the child, not his environment: evidence for an 'activitystat' in young children (EarlyBird 16). Int J Obes. 2006; 30: 1050–1055.
    1. Gomersall SR, Rowlands AV, English C, Maher C, Olds TS. The ActivityStat hypothesis: the concept, the evidence and the methodologies. Sports Med. 2013; 43:135–149. 10.1007/s40279-012-0008-7
    1. Harris KC, Kuramoto LK, Schulzer M, Retallack JE. Effect of school-based physical activity interventions on body mass index in children: a meta-analysis. CMAJ. 2009; 180: 719–726. 10.1503/cmaj.080966
    1. Blaak EE, Westerterp KR, Bar-Or O, Wouters LJ, Saris WH. Total energy expenditure and spontaneous activity in relation to training in obese boys. Am J Clin Nutr. 1992; 55: 777–782.
    1. Wickel EE, Eisenmann JC. Contribution of youth sport to total daily physical activity among 6- to 12-yr-old boys. Med Sci Sports Exerc. 2007; 39:1493–1500.
    1. Dale D, Corbin CB, Dale KS. Restricting opportunities to be active during school time: do children compensate by increasing physical activity levels after school? Res Q Exerc Sport. 2000; 71: 240–248.

Source: PubMed

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