Childhood obesity is strongly associated with the development of cardiovascular disease (CVD). Exercise interventions have been used for obese children and adolescents to prevent the manifestation of CVD risks, such as hypertension and insulin resistance (IR). Additionally, obesity has been shown to be linked to low self-efficacy in adolescents, which has been shown to negatively impact academic performance. Therefore, the purpose of this study was to examine the effects of a 12-week jump rope exercise program on body composition, CVD risk factors, and academic self-efficacy (ASE) in obese adolescent girls with prehypertension.
Adolescent girls with prehypertension and obesity (n = 48, age 14–16 years) were randomly assigned to either the jump rope exercise group (EX, n = 24) or the control group (CON, n = 24). Body composition, blood pressure (BP), blood glucose, insulin levels, homeostatic model assessment of insulin resistance (HOMA-IR) (marker of IR), and ASE were assessed before and after 12 weeks of exercise training or control.
There were significant group × time interactions following the 12-week exercise program for body fat percent, waist circumference (WC), systolic blood pressure (SBP), blood glucose, insulin levels, and HOMA-IR, which were all significantly reduced (p < 0.05). A significant improvement (p <0.05) was observed in task difficulty preference (TDP) and self-regulatory efficacy (SRE) following exercise training. Additionally, ASE was strongly correlated (r = −0.58) with body composition.
This study provides evidence that jump rope exercise intervention can be a useful therapeutic treatment to improve CVD risk factors and ASE in obese adolescent girls with prehypertension.
We are grateful to our participants and the hard work of all individuals involved in the development of this manuscript.
Author contributions: JK and WMS conceived and designed research. JK and WMS conducted all data collections. JK, WMS, and SYP completed all data analysis. RJH and EJP wrote the manuscript and SYP was the primary editor. WMS generated Table 1. EJP generated Table 2. RJH generated all figures. JMN served as an editor for all social sciences-related content and aided extensively during the revision process after receiving reviewer comments. All authors read and approved the manuscript.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Conflicts of interest: The authors declare that they have no conflict of interest.
1. Chorin E, Hassidim A, Hartal M, Havakuk O, Flint N, et al. Trends in adolescents obesity and the association between BMI and blood pressure: a cross-sectional study in 714,922 healthy teenagers. Am J Hypertens 2015;28:1157–63.10.1093/ajh/hpv007Search in Google Scholar
2. Akil L, Ahmad HA. Relationships between obesity and cardiovascular diseases in four southern states and Colorado. J Health Care Poor Undeserved 2011;22:61–72.10.1353/hpu.2011.0166Search in Google Scholar
3. Colman E, Katzel LI, Rogus E, Coon P, Muller D, et al. Weight loss reduces abdominal fat and improves insulin action in middle-aged and older men with impaired glucose tolerance. Metabolism 1995;44:1502–8.10.1016/0026-0495(95)90153-1Search in Google Scholar
4. Strasser B, Arvandi M, Pasha EP, Haley AP, Stanforth P, et al. Abdominal obesity is associated with arterial stiffness in middle-aged adults. Nutr Metab Cardiovasc 2015;25:495–502.10.1016/j.numecd.2015.01.002Search in Google Scholar
5. Jansen MA, Uiterwaal CS, Visseren FL, van der Ent CK, Grobbee DE, et al. Abdominal fat and blood pressure in healthy young children. J Hypertens 2016;34:1796–803.10.1097/HJH.0000000000000996Search in Google Scholar
6. Saijo Y, Kiyota N, Kawasaki Y, Miyazaki Y, Kashimura J, et al. Relationship between C-reactive protein and visceral adipose tissue in healthy Japanese subjects. Diabetes Obes Metab 2004;6:249–58.10.1111/j.1462-8902.2003.0342.xSearch in Google Scholar
7. Banis HT, Varni JW, Wallander JL, Korsch BM, Jay SM, et al. Psychological and social adjustment of obese children and their families. Child Care Health Dev 1988;14:157–73.10.1111/j.1365-2214.1988.tb00572.xSearch in Google Scholar
8. Datar A, Sturm R, Magnabosco JL. Childhood overweight and academic performance: national study of kindergartners and first-graders. Obes Res 2004;12:58–68.10.1038/oby.2004.9Search in Google Scholar
10. Moksnes UK, Eilertsen MB, Ringdal R, Bjornsen HN, Rannestad T. Life satisfaction in association with self-efficacy and stressor experience in adolescents – self-efficacy as a potential moderator. Scand J Caring Sci 2019;33:222–30.10.1111/scs.12624Search in Google Scholar
12. Falkner NH, Neumark-Sztainer D, Story M, Jeffery RW, Beuhring T, et al. Social, educational, and psychological correlates of weight status in adolescents. Obes Res 2001;9:32–42.10.1038/oby.2001.5Search in Google Scholar
13. Witt L. Why we’re losing the war against obesity. Am Demogr 2003;25:27–31.Search in Google Scholar
15. Nemet D, Barkan S, Epstein Y, Friedland O, Kowen G, et al. Short- and long-term beneficial effects of a combined dietary-behavioral-physical activity intervention for the treatment of childhood obesity. Pediatrics 2005;115:e443–9.10.1542/peds.2004-2172Search in Google Scholar
16. Lubans DR, Aguiar EJ, Callister R. The effects of free weights and elastic tubing resistance training on physical self-perception in adolescents. Psychol Sport Exerc 2010;11:497–504.10.1016/j.psychsport.2010.06.009Search in Google Scholar
17. Sung K-D, Pekas EJ, Scott SD, Son W-M, Park S-Y. The effects of a 12-week jump rope exercise program on abdominal adiposity, vasoactive substances, inflammation, and vascular function in adolescent girls with prehypertension. Eur J Appl Physiol 2019;119:577–85.10.1007/s00421-018-4051-4Search in Google Scholar
18. Seo DY, Lee S, Figueroa A, Kim HK, Baek YH, et al. Yoga training improves metabolic parameters in obese boys. Korean J Physiol Pharmacol 2012;16:175–80.10.4196/kjpp.2012.16.3.175Search in Google Scholar
19. Annesi JJ. Relations of physical self-concept and self-efficacy with frequency of voluntary physical activity in preadolescents: implications for after-school care programming. J Psychosom Res 2006;61:515–20.10.1016/j.jpsychores.2006.04.009Search in Google Scholar
21. Annesi JJ, Faigenbaum AD, Westcott WL, Smith AE. Relations of self-appraisal and mood changes with voluntary physical activity changes in African American preadolescents in an after-school care intervention. J Sports Sci Med 2008;7:260–8.Search in Google Scholar
23. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, et al. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007;85:660–7.10.2471/BLT.07.043497Search in Google Scholar
24. Beck DT, Martin JS, Casey DP, Braith RW. Exercise training reduces peripheral arterial stiffness and myocardial oxygen demand in young prehypertensive subjects. Am J Hypertens 2013;26:1093–102.10.1093/ajh/hpt080Search in Google Scholar
25. Beato GC, Ravelli MN, Crisp AH, de Oliveira MR. Agreement between body composition assessed by bioelectrical impedance analysis and doubly labeled water in obese women submitted to bariatric surgery: body composition, BIA, and DLW (vol 29, pg 183, 2018). Obes Surg 2019;29:190.10.1007/s11695-018-3543-ySearch in Google Scholar
26. Karelis AD, Chamberland G, Aubertin-Leheudre M, Duval C, Aging EM. Validation of a portable bioelectrical impedance analyzer for the assessment of body composition. Appl Physiol Nutr Me 2013;38:27–32.10.1139/apnm-2012-0129Search in Google Scholar
27. Taylor RW, Falorni A, Jones IE, Goulding A. Identifying adolescents with high percentage body fat: a comparison of BMI cutoffs using age and stage of pubertal development compared with BMI cutoffs using age alone. Eur J Clin Nutr 2003;57:764–9.10.1038/sj.ejcn.1601608Search in Google Scholar
28. Li CY, Ford ES, Mokdad AH, Cook S. Recent trends in waist circumference and waist-height ratio among US children and adolescents. Pediatrics 2006;118:E1390–8.10.1542/peds.2006-1062Search in Google Scholar
29. Homan TD, Cichowski E. Physiology, pulse pressure. StatPearls. Treasure Island (FL); 2019.Search in Google Scholar
30. Giovannoni G, Land JM, Keir G, Thompson EJ, Heales SJ. Adaptation of the nitrate reductase and Griess reaction methods for the measurement of serum nitrate plus nitrite levels. Ann Clin Biochem 1997;34(Pt 2):193–8.10.1177/000456329703400212Search in Google Scholar
33. Kim AY, Park IY. Construction and validation of academic self-efficacy scale. Korean J Educ Res 2001;39:95–123.Search in Google Scholar
34. Bell LM, Watts K, Siafarikas A, Thompson A, Ratnam N, et al. Exercise alone reduces insulin resistance in obese children independently of changes in body composition. J Clin Endocrinol Metab 2007;92:4230–5.10.1210/jc.2007-0779Search in Google Scholar
35. Cambuli VM, Musiu MC, Incani M, Paderi M, Serpe R, et al. Assessment of adiponectin and leptin as biomarkers of positive metabolic outcomes after lifestyle intervention in overweight and obese children. J Clin Endocrinol Metab 2008;93:3051–7.10.1210/jc.2008-0476Search in Google Scholar
36. Caprio S, Hyman LD, Limb C, McCarthy S, Lange R, et al. Central adiposity and its metabolic correlates in obese adolescent girls. Am J Physiol 1995;269(1 Pt 1):E118–26.10.1152/ajpendo.1995.269.1.E118Search in Google Scholar
38. Ferreira AP, Oliveira CE, Franca NM. Metabolic syndrome and risk factors for cardiovascular disease in obese children: the relationship with insulin resistance (HOMA-IR). J Pediatr (Rio J) 2007;83:21–6.10.2223/JPED.1562Search in Google Scholar
40. Bacha F, Saad R, Gungor N, Arslanian SA. Are obesity-related metabolic risk factors modulated by the degree of insulin resistance in adolescents. Diabetes Care 2006;29:1599–604.10.2337/dc06-0581Search in Google Scholar
42. Levy-Marchal C, Arslanian S, Cutfield W, Sinaiko A, Druet C, et al. Insulin resistance in children: consensus, perspective, and future directions. J Clin Endocrinol Metab 2010;95:5189–98.10.1210/jc.2010-1047Search in Google Scholar
43. Chen X, Wang Y. Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis. Circulation 2008;117:3171–80.10.1161/CIRCULATIONAHA.107.730366Search in Google Scholar
44. Wong GW, Wright JM. Blood pressure lowering efficacy of nonselective beta-blockers for primary hypertension. Cochrane Database Syst Rev 2014:CD007452.10.1002/14651858.CD007452.pub2Search in Google Scholar
45. Newman AB, Kupelian V, Visser M, Simonsick EM, Goodpaster BH, et al. Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci 2006;61:72–7.10.1093/gerona/61.1.72Search in Google Scholar
46. Farges O, Saliba F, Farhamant H, Samuel D, Bismuth A, et al. Incidence of rejection and infection after liver transplantation as a function of the primary disease: possible influence of alcohol and polyclonal immunoglobulins. Hepatology 1996;23:240–8.10.1002/hep.510230207Search in Google Scholar
48. Di Giunta L, Alessandri G, Gerbino M, Kanacri PL, Zuffiano A, et al. The determinants of scholastic achievement: the contribution of personality traits, self-esteem, and academic self-efficacy. Learn Individ Differ 2013;27:102–8.10.1016/j.lindif.2013.07.006Search in Google Scholar
49. Mone MA, Baker DD, Jeffries F. Predictive-validity and time dependency of self-efficacy, self-esteem, personal goals, and academic-performance. Educ Psychol Meas 1995;55: 716–27.10.1177/0013164495055005002Search in Google Scholar
52. Caprara GV, Fida R, Vecchione M, Del Bove G, Vecchio GM, et al. Longitudinal analysis of the role of perceived self-efficacy for self-regulated learning in academic continuance and achievement. J Educ Psychol 2008;100:525–34.10.1037/0022-06126.96.36.1995Search in Google Scholar
54. Fiedler MF, Stone LJ. The Rorschachs of selected groups of children in comparison with published norms. II. The effect of socio-economic status on Rorschach performance. J Proj Tech 1956;20:276–9.10.1080/08853126.1956.10380705Search in Google Scholar
55. Velez A, Golem DL, Arent SM. The impact of a 12-week resistance training program on strength, body composition, and self-concept of Hispanic adolescents. J Strength Cond Res 2010;24:1065–73.10.1519/JSC.0b013e3181cc230aSearch in Google Scholar
56. Oman RF, King AC. Predicting the adoption and maintenance of exercise participation using self-efficacy and previous exercise participation rates. Am J Health Promot 1998;12:154–61.10.4278/0890-1171-12.3.154Search in Google Scholar
57. Tschop M, Weyer C, Tataranni PA, Devanarayan V, Ravussin E, et al. Circulating ghrelin levels are decreased in human obesity. Diabetes 2001;50:707–9.10.2337/diabetes.50.4.707Search in Google Scholar
58. Diano S, Farr SA, Benoit SC, McNay EC, da Silva I, et al. Ghrelin controls hippocampal spine synapse density and memory performance. Nat Neurosci 2006;9:381–8.10.1038/nn1656Search in Google Scholar
59. Correa-Burrows P, Blanco E, Reyes M, Castillo M, Peirano P, et al. Leptin status in adolescence is associated with academic performance in high school: a cross-sectional study in a Chilean birth cohort. BMJ Open 2016;6:e010972.10.1136/bmjopen-2015-010972Search in Google Scholar
60. Yau PL, Kang EH, Javier DC, Convit A. Preliminary evidence of cognitive and brain abnormalities in uncomplicated adolescent obesity. Obesity (Silver Spring) 2014;22:1865–71.10.1002/oby.20801Search in Google Scholar
62. Locke EA. Self-efficacy: the exercise of control – Bandura A. Pers Psychol 1997;50:801–4.Search in Google Scholar
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