Abstract
Background
Very little information on the potential mechanisms of the physical activity interventions effects on adiposity is available. We evaluated the possible mediating factors of a physical activity school‐based intervention on the sum of skinfolds in children.
Methods
This is a cluster randomized trial, secondary analysis of the KISS study. Children (n = 499) from the first and fifth grades were randomly assigned to intervention or control group. Adiposity was estimated by four skinfolds, aerobic fitness assessed by the shuttle run test, and insulin, triglycerides, total cholesterol, high‐density lipoprotein (HDL), and glucose collected via fasting blood samples.
Results
The intervention affected aerobic fitness (0.140 SD, 95% CI 0.011 to 0.270), triglycerides (0.217 SD, 95% CI −0.409 to −0.025), cholesterol/HDL ratio (−0.191 SD, 95% CI −0.334 to −0.047), glucose (−0.330 SD, 95% CI −0.538 to −0.121), and skinfolds (−0.122 SD, 95% CI −0.189 to −0.056). No intervention effect on insulin was found. We observed that changes in aerobic fitness impacted children's triglycerides and cholesterol/HDL ratio and consecutively the glucose levels mediating 30% of the intervention effect on skinfolds.
Conclusions
Our findings provided evidence of the positive metabolic distress caused by a physical activity intervention on adiposity levels in children.
Keywords: children, exercise, metabolism, obesity, physiology
1. INTRODUCTION
The increasing rates and the health‐related consequences of overweight and obesity during childhood 1 have stimulated researchers on conducting interventions targeting adiposity in children. 2 Although small randomized controlled studies have demonstrated the beneficial effects of physical activity programs on adiposity in children, 3 large epidemiological school‐based interventions have mostly failed in changing adiposity in children. 4 , 5 , 6 , 7 Nevertheless, the World Health Organization considers schools to be an ideal setting for promoting physical activity in children and targeting overweight and obesity. 8
Analyzing well‐successful school‐based interventions might support the development of improved and more comprehensive protocols to be tested in other settings, cultures, and in larger scales. 9 , 10 A school‐based study conducted in Switzerland reported positive effects of a physical activity program on several health outcomes in children, including the effects on sum of skinfolds. 11 Kriemler et al 11 reported differences between groups by 0.12 z‐score units, which corresponded to an approximate 2 mm (or 6% in relative values) of the children's mean sum of skinfolds at baseline. Although the results reported are encouraging, further aspects can still be investigated.
It is not clear which mechanisms mediated the intervention effects on adiposity in the study conducted by Kriemler et al. 11 Examining the factors that mediate physical activity interventions effects on adiposity will enable researchers to understand which mechanisms are related to intervention effects on adiposity in children and support the design of more successful interventions. Very little information on the potential mechanisms of the physical activity interventions effects on adiposity is available. 12 To the best of our knowledge, no study has evaluated the mechanistic pathway between physical activity intervention and adiposity in a school‐based study conducted with children. The randomized design in the study conducted by Kriemler et al 11 reduces potential confounding, supporting a more appropriate analysis of the possible mediating factors accounting for the intervention effects on the outcome. 13 Besides intervention effects on adiposity, Kriemler et al 11 reported intervention effects on aerobic fitness, triglycerides, HDL cholesterol, and glucose levels 11 ; thus, it is possible to evaluate whether any of those parameters mediated the intervention effects on adiposity. 13 Therefore, we evaluated the possible mediating factors of a physical activity school‐based intervention on the sum of skinfolds in the same group of children evaluated by Kriemler et al. 11
2. MATERIAL AND METHODS
2.1. Design and study population
This is a secondary analysis of the cluster randomized trial: “Effect of school based physical activity programme (KISS study).” The study took place in two of the 26 provinces of Switzerland (Aargau and Baselland), comprising about 10% of the Swiss population. Recruitment started in autumn 2004, and the actual study took place between August 2005 and July 2006. The design of the study has been previously described in detail. 14 Supplementary material presents a summarized description of the sample selection and randomization, and Supplementary Figure S1, reproduced from Zahner et al 2006, 14 details the flowchart of participants. All participating children and their parents gave informed consent. The study was approved by the ethics committees of the University of Basel and the ETH of Zürich, as well as by the Cantonal Ethical Committee of Aargau, Switzerland (159/04). Trial registration Current Controlled Trials: ISRCTN15360785.
2.2. Intervention
The intervention was targeted at both the cluster and the individual levels and was based on a socio‐ecological conceptual model focusing on increasing daily physical activity. 11 , 14 , 15 Briefly, children in both groups had three physical education lessons each week, which are compulsory by law. The intervention group had two additional physical education lessons on the remaining school days. A team of expert physical education teachers prepared all five physical education lessons for the children in the intervention group. All intervention classes received the same curriculum. The three compulsory weekly physical education lessons (45 minutes each) were given by the usual classroom teachers according to the specified curriculum, whereas the two additional weekly lessons (45 minutes each) were taught mostly outdoors by physical education teachers. In addition, three to five short activity breaks (2‐5 minutes each) during academic lessons—comprising motor skill tasks such as jumping or balancing on one leg, power games, or coordinative tasks—were introduced every day. The children received daily physical activity homework of about 10 minutes' duration prepared by the physical education teachers. This included aerobic, strength, or motor skill tasks such as brushing their teeth while standing on one leg, hopping up and down the stairs, rope jumping, or comparable activities. Children and parents in the control group were not informed about the existence of the intervention program in other schools. The teachers in the control group knew about the intervention arm but were not informed about its content. No incentives for participating in the study were offered to the children.
2.3. Measurements
Baseline (August 2005) and follow‐up (June 2006) measurements took place at school within the same 3‐week period for all children; the intervention period lasted 9 months. All assessors were trained in a pilot study 2 months before the main study. Assessors responsible for the measurements were blinded to the group allocation for all measurements except skinfold and waist circumference measures. School laws prescribed that the last two measurements were made by designated physicians who knew the group allocation.
In this study, the primary outcome was the sum of four skinfolds, whereas glucose, cholesterol and HDL ratio (cholesterol/HDL ratio), triglycerides, insulin, and aerobic fitness were tested as mediators of the intervention effect on the sum of skinfolds. Skinfold thickness was measured in triplicate to the nearest 0.5 mm with Harpenden calipers (HSK‐BI, British Indicators). We calculated the sum of four sites (triceps, biceps, subscapular, and suprailiacal). 16 Blood was drawn in the morning, while the child was fasting for measurement of glucose and lipids as previously described. 14 We used the 20‐m shuttle run test to determine aerobic fitness. 17 Ten children did the test together, but each child had a researcher assigned who was checking adequate test procedures. Table 1 describes the number of children in the intervention and control groups with complete data in each variable before and after the intervention.
Table 1.
Number of children with complete data in the control and intervention groups before and after the intervention
| Health parameters | Control | Intervention | ||
|---|---|---|---|---|
| Before | After | Before | After | |
| Skinfolds | 185 | 206 | 284 | 293 |
| Glucose | 97 | 100 | 234 | 198 |
| Chol/HDL ratio | 109 | 120 | 242 | 238 |
| Triglycerides | 99 | 109 | 236 | 216 |
| Insulin | 97 | 100 | 234 | 199 |
| Shuttle run | 187 | 190 | 285 | 270 |
Chol/HDL ratio is the ratio between total cholesterol and HDL‐cholesterol
2.4. Statistical analyses
We used Stata 16 for windows (StataCorp LP). Descriptive analyses are shown in means and standard deviations. For the main analysis, we z‐transformed the variables for each time point (baseline and post‐intervention) by grade, sex, and intervention group‐specific means and standard deviations. Although Kriemler et al 11 already reported intervention effects on the primary outcome and on the mediators, except for insulin, we decided to rerun the analysis evaluating the intervention effects on adiposity and on each possible mediator before estimating the factors that mediated the intervention effects on adiposity, which is the primary aim of this investigation. All the analyses were conducted as follows.
Structural equation modeling was used to evaluate the effects of the intervention on each of the primary outcomes and on the mediators. We used the maximum likelihood for missing values, which does not exclude a participant in the analysis because of a missing value in one of the variables. Thus, we avoided selection bias in our analysis. Our proposed model is shown in Supplementary Figure S2. All mediators that were influenced by the intervention remained in the model to estimate the indirect effect of the intervention on the sum of skinfolds. Direct effect refers to the direct relationship between two variables. Indirect effects refer to the relationship between two variables that is mediated by a third variable or a group of variables on the pathway, and total effect is the sum of the direct and indirect effects. More details on the final diagram that estimated the indirect effects of the intervention on the sum of skinfolds are presented in the Results section. The diagram will be considered with a good fit to the data if the following parameters are meet: Comparative Fit Index (CFI)> 0.95, and the root mean square error of approximation (RMSEA) <0.08. 18
3. RESULTS
Among the 499 children who had complete data and were included in the main analysis, 226 were enrolled in the first grade (mean age of 6.89 ± 0.32) and 273 in the fifth grade (mean age of 11.12 ± 0.58). Children from intervention (n = 293) and control groups (n = 206) did not differ regarding their age (P = .71). In the control group, 51.5% were girls, whereas in the intervention group, 52.6% of girls were included (P = .81). Moreover, children with a baseline assessment but no follow‐up assessment did not differ from the remaining children in terms of age, sex, and the variables at baseline (data not shown).
Table 2 presents descriptive information on aerobic fitness, insulin, triglycerides, cholesterol/HDL ratio, glucose, and the sum of skinfolds at baseline and follow‐up by intervention group. It also reports the effect of the intervention in each variable of interest. In summary, the intervention affected the sum of skinfolds and all the mediators with the exception of insulin (P = .878).
Table 2.
Health parameters in children according to group
| Health parameters | Control | Intervention | Adjusted difference at follow‐up a | |||
|---|---|---|---|---|---|---|
| Before | After | Before | After | Std. β | (95% CI) | |
| Aerobic fitness (stages) | 5.81 (2.05) | 6.69 (1.89) | 5.65 (2.26) | 6.83 (2.17) | 0.140 | (0.011 to 0.270) |
| Insulin (mmol/L) | 7.48 (3.42) | 8.03 (5.84) | 7.06 (3.83) | 7.33 (3.94) | −0.016 | (−0.216 to 0.185) |
| Triglycerides (mmol/L) | 0.64 (0.31) | 0.67 (0.31) | 0.59 (0.24) | 0.60 (0.25) | −0.217 | (−0.409 to −0.025) |
| Chol/HDL ratio | 2.52 (0.51) | 2.47 (0.51) | 2.63 (0.58) | 2.46 (0.56) | −0.191 | (−0.334 to −0.047) |
| Glucose (mmol/L) | 4.60 (0.45) | 4.71 (0.38) | 4.56 (0.39) | 4.58 (0.34) | −0.330 | (−0.538 to −0.121) |
| Skinfolds (mm) | 31.88 (14.08) | 34.89 (18.98) | 32.25 (13.32) | 32.19 (14.54) | −0.122 | (−0.189 to −0.056) |
Values are means and standard deviations (SD) unless stated otherwise.
Adjusted difference, in standard deviations, between intervention and control groups in relation to each health parameter; analysis adjusted for sex, school class, and the respective health parameter at baseline. Chol/HDL ratio is the ratio between total cholesterol and HDL‐cholesterol.
Since insulin was not affected by the intervention, the diagram shown in Supplementary Figure S2 for analyzing the mediation effects of the intervention on the sum of skinfolds was modified. Figure 1 shows the final diagram used for the mediation analysis and the direct, indirect, and the total effects of the intervention on the sum of skinfolds. Changes in aerobic fitness, triglycerides, cholesterol/HDL ratio, and glucose levels mediated 30% of the intervention effects on skinfolds. More specifically, our diagram suggests that the intervention increased the aerobic fitness, which affected children's triglycerides and cholesterol/HDL ratio and consecutively the glucose levels. The combination of those changes resulted in lower sum of skinfolds in the intervention group compared to the control group by 0.037 SD (−0.063 to −0.011) (indirect effect of the intervention). Our model presented good fit to the data: CFI: 0.986 and RMSEA: 0.046 (Figure 1).
Figure 1.

Standardized path coefficients of the direct, indirect, and total effects of the intervention on the sum of skinfolds. CFI refers to the Comparative Fit Index; RMSEA refers to the root mean square error of approximation. Adjusted for sex, school class, and the respective outcome at baseline
4. DISCUSSION
As demonstrated previously, 11 the intervention affected the sum of skinfolds of the children attending the intervention schools. Moreover, our proposed framework observed that 30% of the intervention effect on skinfolds was mediated via changes in aerobic fitness, triglycerides, cholesterol/HDL ratio, and glucose levels. Our framework highlights the importance of higher physical activity intensities in targeting adiposity in children, since increases in aerobic fitness led to changes in metabolic parameters culminating with reduced adiposity. To the best of our knowledge, this is the first study to disentangle the biological pathways that affected adiposity in a large‐scale epidemiological study with children.
There are few physiological mechanisms that can explain the indirect effects of the intervention on adiposity in the current study.
4.1. Intervention effect on the aerobic capacity
Increased mitochondrial density might have had a twofold impact on the intervention effects in our study. 19 Firstly, in combination to the enhanced heart capacity and blood flow stimulated by the maintenance of physical activity level, higher mitochondrial density diminishes the metabolic stress to homeostasis caused by each bout of physical activity, which in turn increases the efficacy in energy utilization and the aerobic capacity. 20 Those changes might explain the effects of the intervention on aerobic fitness in our study. Secondly, physical activity has been shown to induce mitochondrial biogenesis in the adipose tissue, 21 , 22 increasing the metabolic demand in the adipose tissue caused by the intervention. 20
4.2. Intervention effects on triglycerides and glucose levels
Adenosine triphosphate (ATP) synthesis might underlie some of the other metabolic changes related to the effects of the intervention in adiposity observed in our study. Since intramuscular ATP is relatively small, prolonged physical activity stimulates ATP resynthesizes. In physical activities lasting less than 1 minute, ATP resynthesizes occurs mainly by the substrate‐level phosphorylation via the breakdown of creatine phosphate and during the conversion of glucose units, derived essentially from breakdown of intramuscular glycogen to lactate. 23 , 24 Additional substrates are essential to maintain skeletal muscle metabolism during prolonged physical activity. 25 , 26 Initially from glycogenolysis and subsequently from gluconeogenesis, the liver releases glucose into the circulation. 12 In addition, in the adipocyte, the hydrolysis of its triglycerides is increased, releasing long‐chain non‐esterified fatty acids into the bloodstream. 12 This chain of events might be related to the indirect effects of the intervention on adiposity via triglycerides and glucose levels.
4.3. Intervention effects on lipids and cholesterol
The indirect impact of the intervention on adiposity via HDL/cholesterol might be due to the positive relationship between aerobic capacity and lipid profile regulation. This relationship is associated with the enzymatic modulation of lecithin‐cholesterol acyltransferase (L‐CAT), which is involved in the esterification of cholesterol. 27 In addition, cholesteryl ester transfer protein (CETP) is one of the facilitators of the transport of cholesterol ester particles of HDL‐c to other lipoproteins, 28 , 29 since both L‐CAT and CETP are part of the mechanism in which the excess of cholesterol is removed from the peripheral tissues and both pathways are stimulated by physical activity. 27 Moreover, aerobic exercise has been shown to activate the hydrolysis of the triacylglycerols (TAG) from very low‐density lipoprotein (VLDL) by lipoprotein lipase (LPL), which partly results, in the production of beneficial HDL‐c particles. 30 , 31 LPL is situated on the inside of capillaries and is closely associated with aerobic fitness. 19
4.4. The non‐significant intervention effects on insulin
The intervention did not affect fasting insulin levels in this sample of children, although previous investigations have reported effects of physical activity interventions on insulin and on insulin resistance. 32 , 33 Physical activity is believed to increase microvascular recruitment, enhancing glucose delivery to the cells. 34 In addition, physical activity stimulates the GLUT4‐mediated glucose transport, which can be an additional pathway for increasing insulin sensibility caused by higher physical activity level. A study conducted with type 2 diabetic and obese participants observed that physical exercise led to increased expression and function of several proteins involved in insulin‐signal transduction, specially the insulin receptor substrates 1 and 2 (IRS‐1 and IRS‐2). 35 It is possible that the statistically non‐significant impact of the intervention on insulin is due to a measurement bias. Insulin is very sensitive to even a few non‐fasted individuals within a group. 36 , 37 Even when all are fasting the variation is high. 36 , 37 Moreover, insulin depends on the physical activity level of preceding days 37 , 38 ; acutely, physical activity empties glycogen from the muscle cell, 39 , 40 which could also partly explain the non‐significant results.
4.5. Strengths and limitations
The representativeness of the sample and the relatively simple intervention protocol are probably the biggest strengths of this study, increasing the probability of reproducing the findings in other cultures. Although this is the first large school‐based study to estimate the indirect effects of a physical activity intervention on adiposity in children, our model explained only 30% of the intervention effects. Thus, around 70% of the effects were due to changes in other factors not measured in this study or measurement error. We encourage future studies to investigate other markers that might underlie the impact of a physical activity intervention on adiposity in children. A better understanding of the physiological pathways will support the design of more effective interventions targeting adiposity in children.
This large school‐based physical activity intervention effectively targeted adiposity in children, and importantly, changes in aerobic fitness, triglycerides, cholesterol/HDL ratio, and glucose mediated 30% of the intervention effects. Our findings provided evidence of the positive metabolic distress caused by a physical activity intervention, which resulted in lower levels of adiposity in children exposed to the intervention.
5. PERSPECTIVE
Our findings support the premise that physical activity impacts adiposity in children via changes in aerobic fitness, triglycerides, cholesterol/HDL ratio, and glucose levels. This biological pathway accounted for 30.0% of the intervention effects on adiposity, demonstrating a physiological distress responsible for decreased adiposity in children. Moreover, our findings suggest that higher physical activity intensities might be preferable to target adiposity in children, since increases in aerobic fitness were in the beginning of the chain of relationships leading to a reduction in adiposity. Future studies should test the possible mediation role of insulin in the impact of a physical activity intervention on adiposity in children despite the non‐significant result reported in the current investigation. Since there is a reasonable body of evidence suggesting the importance of insulin sensitivity in the physical activity‐adiposity relationship 33 . Moreover, there are other biological pathways accounting for the reduction in adiposity in children that we did not account in this study. Deeper understanding on the biological causal effect related to adiposity loss is pivotal to target childhood obesity and should be evaluated in future studies.
CONFLICT OF INTERESTS
None of the authors declares a conflict of interest.
AUTHOR CONTRIBUTIONS
RL and LA designed this study. RL and FS conducted the statistical analysis. All authors contributed to the interpretation of the results and drafted the manuscript. SK made substantial contribution to the conception of the KISS study and acquisition of data. All authors revised the manuscript and contributed to the content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
Supporting information
Fig S1
Fig S2
Supplementary Material
ACKNOWLEDGEMENTS
This study was funded by the Swiss Federal Office of Sports (grant number SWI05‐013), the Swiss National Science Foundation (grant number PMPDB‐114401), and the Diabetes Foundation of the Region of Basel.
Lima RA, Andersen LB, Soares FC, Kriemler S. The causal pathway effects of a physical activity intervention on adiposity in children: The KISS Study cluster randomized clinical trial. Scand J Med Sci Sports. 2020;30:1685–1691. 10.1111/sms.13741
Trial Registration: ISRCTN15360785 (http://www.isrctn.com/ISRCTN15360785)
REFERENCES
- 1. Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatt SB. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Curr Obes Rep. 2015;4:363‐370. [DOI] [PubMed] [Google Scholar]
- 2. Kobes A, Kretschmer T, Timmerman G, Schreuder P. Interventions aimed at preventing and reducing overweight/obesity among children and adolescents: a meta‐synthesis. Obes Rev. 2018;19:1065‐1079. [DOI] [PubMed] [Google Scholar]
- 3. Kelley GA, Kelley KS, Pate RR. Exercise and adiposity in overweight and obese children and adolescents: protocol for a systematic review and network meta‐analysis of randomised trials. BMJ Open. 2017;7:e019512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Harris KC, Kuramoto LK, Schulzer M, Retallack JE. Effect of school‐based physical activity interventions on body mass index in children: a meta‐analysis. Can Med Assoc J. 2009;180:719‐726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Guerra P, Nobre M, Silveira J, Taddei J. The effect of school‐based physical activity interventions on body mass index: a meta‐analysis of randomized trials. Clinics. 2013;68:1263‐1273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Sun C, Pezic A, Tikellis G, et al. Effects of school‐based interventions for direct delivery of physical activity on fitness and cardiometabolic markers in children and adolescents: a systematic review of randomized controlled trials. Obes Rev. 2013;14:818‐838. [DOI] [PubMed] [Google Scholar]
- 7. Hung L‐S, Tidwell DK, Hall ME, Lee ML, Briley CA, Hunt BP. A meta‐analysis of school‐based obesity prevention programs demonstrates limited efficacy of decreasing childhood obesity. Nutr Res. 2015;35:229‐240. [DOI] [PubMed] [Google Scholar]
- 8. World Health Organization (WHO) . Global Strategy on Diet, Physical Activity and Health [Internet]. 2006. Available from http://apps.who.int/gb/archive/pdf_files/WHA59/A59_23‐en.pdf?ua=1. Accessed July 12, 2019.
- 9. Reis RS, Salvo D, Ogilvie D, Lambert EV, Goenka S, Brownson RC. Scaling up physical activity interventions worldwide: stepping up to larger and smarter approaches to get people moving. Lancet. 2016;388:1337‐1348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. McKay HA, Macdonald HM, Nettlefold L, Masse LC, Day M, Naylor P‐J. Action schools! BC implementation: from efficacy to effectiveness to scale‐up. Br J Sports Med. 2015;49:210‐218. [DOI] [PubMed] [Google Scholar]
- 11. Kriemler S, Zahner L, Schindler C, et al. Effect of school based physical activity programme (KISS) on fitness and adiposity in primary schoolchildren: cluster randomised controlled trial. BMJ. 2010;340:c785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hawley JA, Hargreaves M, Joyner MJ, Zierath JR. Integrative biology of exercise. Cell. 2014;159:738‐749. [DOI] [PubMed] [Google Scholar]
- 13. Sedgwick P. Randomised controlled trials: understanding confounding. BMJ. 2015;351:h5119. [DOI] [PubMed] [Google Scholar]
- 14. Zahner L, Puder JJ, Roth R, et al. A school‐based physical activity program to improve health and fitness in children aged 6–13 years (“Kinder‐Sportstudie KISS”): study design of a randomized controlled trial [ISRCTN15360785]. BMC Public Health. 2006;6:147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Egger G, Swinburn B. An, “ecological” approach to the obesity pandemic. BMJ. 1997;315:477‐480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Lohman T, Roche A, Martorell R. Anthropometric Standardization Reference Material. Champaign, IL: Human Kinetics Books; 1988. [Google Scholar]
- 17. Léger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. 1988;6:93‐101. [DOI] [PubMed] [Google Scholar]
- 18. Hoyle RH. Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: Sage Publications; 1995;289. [Google Scholar]
- 19. Klausen K, Andersen LB, Pelle I. Adaptive changes in work capacity, skeletal muscle capillarization and enzyme levels during training and detraining. Acta Physiol Scand. 1981;113:9‐16. [DOI] [PubMed] [Google Scholar]
- 20. Picard M, Zhang J, Hancock S, et al. Progressive increase in mtDNA 3243A>G heteroplasmy causes abrupt transcriptional reprogramming. Proc Natl Acad Sci USA. 2014;111(38):E4033‐E4042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Laye MJ, Rector RS, Warner SO, et al. Changes in visceral adipose tissue mitochondrial content with type 2 diabetes and daily voluntary wheel running in OLETF rats. J Physiol. 2009;587:3729‐3739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Sutherland LN, Bomhof MR, Capozzi LC, Basaraba SAU, Wright DC. Exercise and adrenaline increase PGC‐1α mRNA expression in rat adipose tissue. J Physiol. 2009;587:1607‐1617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Gaitanos GC, Williams C, Boobis LH, Brooks S. Human muscle metabolism during intermittent maximal exercise. J Appl Physiol. 1993;75:712‐719. [DOI] [PubMed] [Google Scholar]
- 24. Parolin ML, Chesley A, Matsos MP, Spriet LL, Jones NL, Heigenhauser GJ. Regulation of skeletal muscle glycogen phosphorylase and PDH during maximal intermittent exercise. Am J Physiol. 1999;277:E890‐E900. [DOI] [PubMed] [Google Scholar]
- 25. van Loon LJC, Thomason‐Hughes M, Constantin‐Teodosiu D, et al. Inhibition of adipose tissue lipolysis increases intramuscular lipid and glycogen use in vivo in humans. Am J Physiol Endocrinol Metab. 2005;289:E482‐E493. [DOI] [PubMed] [Google Scholar]
- 26. Wasserman DH. Four grams of glucose. Am J Physiol Endocrinol Metab. 2009;296:E11‐E21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Marques LR, Diniz TA, Antunes BM, et al. Reverse cholesterol transport: molecular mechanisms and the non‐medical approach to enhance HDL cholesterol. Front Physiol. 2018;9:1‐11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Grandjean PW, Crouse SF, Rohack JJ. Influence of cholesterol status on blood lipid and lipoprotein enzyme responses to aerobic exercise. J Appl Physiol. 2000;89:472‐480. [DOI] [PubMed] [Google Scholar]
- 29. Durstine JL, Grandjean PW, Cox CA, Thompson PD. Lipids, lipoproteins, and exercise. J Cardiopulm Rehabil. 2002;22:385‐398. [DOI] [PubMed] [Google Scholar]
- 30. Oscai LB, Caruso RA, Wergeles AC. Lipoprotein lipase hydrolyzes endogenous triacylglycerols in muscle of exercised rats. J Appl Physiol. 1982;52:1059‐1063. [DOI] [PubMed] [Google Scholar]
- 31. Butcher LR, Thomas A, Backx K, Roberts A, Webb R, Morris K. Low‐intensity exercise exerts beneficial effects on plasma lipids via PPARgamma. Med Sci Sports Exerc. 2008;40:1263‐1270. [DOI] [PubMed] [Google Scholar]
- 32. Reitman JS, Vasquez B, Klimes I, et al. Improvement of glucose homeostasis after exercise training in non‐insulin‐dependent diabetes Exercise induces rapid increases in GLUT4 expression, glucose transport capacity, and insulin‐stimulated glycogen storage in muscle. Diabetes Care. 1994;269:14396‐14401. [Google Scholar]
- 33. Bird SR, Hawley JA. Update on the effects of physical activity on insulin sensitivity in humans. BMJ Open Sport Exerc Med. 2017;2:1‐26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Wojtaszewski JFP, Richter EA. Effects of acute exercise and training on insulin action and sensitivity: focus on molecular mechanisms in muscle. Essays Biochem. 2006;42:31‐46. [DOI] [PubMed] [Google Scholar]
- 35. Chibalin AV, Yu M, Ryder JW, et al. Exercise‐induced changes in expression and activity of proteins involved in insulin signal transduction in skeletal muscle: differential effects on insulin‐receptor substrates 1 and 2. Proc Natl Acad Sci USA. 2000;97:38‐43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Holmstrup ME, Owens CM, Fairchild TJ, Kanaley JA. Effect of meal frequency on glucose and insulin excursions over the course of a day. E Spen Eur E J Clin Nutr Metab. 2010;5:e277‐e280. [Google Scholar]
- 37. Antuna‐Puente B, Disse E, Rabasa‐Lhoret R, Laville M, Capeau J, Bastard J‐P. How can we measure insulin sensitivity/resistance? Diabetes Metab. 2011;37:179‐188. [DOI] [PubMed] [Google Scholar]
- 38. Bastard J‐P, Antuna‐Puente B, Rabasa‐Lhoret R. Is it important to reduce inter‐ and intra‐individual variations to explore insulin sensitivity? Diabetes Metab. 2010;36(3):249. [DOI] [PubMed] [Google Scholar]
- 39. Hearris MA, Hammond KM, Fell JM, Morton JP. Regulation of muscle glycogen metabolism during exercise: implications for endurance performance and training adaptations. Nutrients. 2018;10:298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Jensen TE, Richter EA. Regulation of glucose and glycogen metabolism during and after exercise. J Physiol. 2012;590:1069‐1076. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Supplementary Materials
Fig S1
Fig S2
Supplementary Material
