Association of daily steps on lipid and glycaemic profiles in children: The mediator role of cardiorespiratory fitness.
cardiorespiratory fitness
children
daily steps
insulin
triglycerides
Journal
Acta paediatrica (Oslo, Norway : 1992)
ISSN: 1651-2227
Titre abrégé: Acta Paediatr
Pays: Norway
ID NLM: 9205968
Informations de publication
Date de publication:
10 Nov 2023
10 Nov 2023
Historique:
revised:
11
09
2023
received:
30
06
2023
accepted:
31
10
2023
medline:
11
11
2023
pubmed:
11
11
2023
entrez:
10
11
2023
Statut:
aheadofprint
Résumé
To analyse, in schoolchildren, the relationship between daily steps with metabolic parameters; and to examine whether this association is mediated by cardiorespiratory-fitness (CRF). A cross-sectional analysis of baseline data from a feasibility trial was performed in children from two primary schools in Cuenca, Spain. Daily steps were measured using the Xiaomi MI Band 3. Lipid and glycaemic profiles were analysed from blood samples. CRF was assessed using the 20-m shuttle run test. ANCOVA models were used to test the mean differences by daily steps quartiles. Mediation analyses were conducted to examine whether CRF mediates the association between daily steps and lipid and glycaemic parameters. A total of 159 schoolchildren (aged 9-12 years, 53% female) were included in the analysis. Schoolchildren in the highest daily steps quartiles (>10 000 steps) showed significantly lower triglycerides and insulin levels (p = 0.004 and 0.002, respectively). This association did not remain after controlling for CRF. In mediation analyses, a significant indirect effect was observed through CRF in the relationship between daily steps with triglycerides and insulin. Children who daily accumulate more than 10 000 steps have better lipid and metabolic profile, and CRF mediated their relationship in schoolchildren.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : European Social Fund
ID : 2020-PREDUCLM-16746
Organisme : Health Outcomes-Oriented Cooperative Research Networks
ID : RD21/0016/0025
Organisme : Ministry of Economy and Competitiveness-Carlos III Health Institute and FEDER funds
ID : PI19/01126
Informations de copyright
© 2023 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica.
Références
World Health Organization. Noncommunicable Diseases Country Profiles 2018. World Health Organization; 2018. https://apps.who.int/iris/handle/10665/274512. Licencia: CC BY-NC-SA 3.0 IGO
Kavey REW, Daniels SR, Lauer RM, Atkins DL, Hayman LL, Taubert K. American Heart Association guidelines for primary prevention of atherosclerotic cardiovascular disease beginning in childhood. Circulation. 2003;107:1562-1566. doi:10.1161/01.CIR.0000061521.15730.6E
Newman WP, Freedman DS, Voors AW, et al. Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis. N Engl J Med. 1986;314:138-144. doi:10.1056/NEJM198601163140302
Berenson GS, Srinivasan SR, Bao W, Newman WP 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart study. N Engl J Med. 1998;338:1650-1656. doi:10.1056/NEJM199806043382302
Mahoney L, Burns T, Stanford W, et al. Coronary Risk Factors Measured in Childhood and Young Adult Life Are Associated with Coronary Artery Calcification in Young Adults: the Muscatine Study. J Am Coll Cardiol. 1996;27(2):277-284.
McGill HC, McMahan CA. Determinants of atherosclerosis in the young. Am J Cardiol. 1998;82:30-36. doi:10.1016/S0002-9149(98)00720-6
Jacobs DRJ, Woo JG, Sinaiko AR, et al. Childhood cardiovascular risk factors and adult cardiovascular events. N Engl J Med. 2022;386:1877-1888. doi:10.1056/NEJMoa2109191
Twisk JWR. Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Cambridge University Press; 2013. doi:10.1017/CBO9781139342834
Martínez-Vizcaíno V, Solera Martínez M, Salcedo Aguilar F, et al. Validity of a single-factor model underlying the metabolic syndrome in children: a confirmatory factor analysis. Am Diabetes Assoc. 2010;33:1370-1372. doi:10.2337/dc09-2049
Jiang X, Srinivasan SR, Bao W, Berenson GS. Association of fasting insulin with blood pressure in young individuals. The Bogalusa Heart study. Arch Intern Med. 1993;153:323-328.
Manolio TA, Savage PJ, Burke GL, et al. Association of fasting insulin with blood pressure and lipids in young adults: the CARDIA study. Arterioscler Thromb Vasc Biol. 1990;10:430-436. doi:10.1161/01.ATV.10.3.430
Orchard TJ, Becker DJ, Bates M, Kuller LH, Drash AL. Plasma insulin and lipoprotein concentrations: an atherogenic association? Am J Epidemiol. 1983;118:326-337. doi:10.1093/OXFORDJOURNALS.AJE.A113639
Burke GL, Webber LS, Srinivasan SR, Radhakrishnamurthy B, Freedman DS, Berenson GS. Fasting plasma glucose and insulin levels and their relationship to cardiovascular risk factors in children: Bogalusa Heart study. Metabolism. 1986;35:441-446. doi:10.1016/0026-0495(86)90135-6
Rönnemaa T, Knip M, Lautala P, et al. Serum insulin and other cardiovascular risk indicators in children, adolescents and young adults. Ann Med. 1991;23:67-72. doi:10.3109/07853899109147933
Bao WH, Srinivasan SR, Wattigney WA, Berenson GS. Persistence of multiple cardiovascular risk clustering related to syndrome-x from childhood to young adulthood - the Bogalusa-HEART-study. Arch Intern Med. 1994;154:1842-1847.
Bao W, Srinivasan SR, Berenson GS. Persistent elevation of plasma insulin levels is associated with increased cardiovascular risk in children and young adults. The Bogalusa heart study. Circulation. 1996;93:54-59. doi:10.1161/01.cir.93.1.54
Myers J, McAuley P, Lavie CJ, Despres JP, Arena R, Kokkinos P. Physical activity and cardiorespiratory fitness as major markers of cardiovascular risk: their independent and interwoven importance to health status. Prog Cardiovasc Dis. 2015;57:306-314. doi:10.1016/J.PCAD.2014.09.011
Poitras VJ, Gray CE, Borghese MM, et al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41:S197-S239.
Bull FC, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour 54.
Organization WH. Global Status Report on Physical Activity 2022: executive summary. World Health Organization; 2022.
Roman-Viñas B, Zazo F, Martínez-Martínez J, Aznar-Laín S, Serra-Majem L. Results from Spain's 2018 report card on physical activity for children and youth. J Phys Act Health. 2018;15:S411-S412. doi:10.1123/JPAH.2018-0464
Tudor-Locke C, Craig CL, Beets MW, et al. How many steps/day are enough? For children and adolescents. Int J Behav Nutr Phys Act. 2011;8:1-14. doi:10.1186/1479-5868-8-78/FIGURES/1
Nayor M, Chernofsky A, Spartano NL, et al. Physical activity and fitness in the community: the Framingham Heart study. Eur Heart J. 2021;42:4565-4575. doi:10.1093/EURHEARTJ/EHAB580
Leger L, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci. 1988;6:93-101. doi:10.1080/02640418808729800
Tanner JM, Davies PSW. Clinical longitudinal standards for height and height velocity for north American children. J Pediatr. 1985;107:317-329. doi:10.1016/S0022-3476(85)80501-1
Hayes A. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guildford Publications; 2017.
Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research. Conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173-1182. doi:10.1037/0022-3514.51.6.1173
Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:1-16. doi:10.1186/1479-5868-7-40/
Guinhouya BC, Hubert H. Insight into physical activity in combating the infantile metabolic syndrome. Environ Health Prev Med. 2011;16:144-147. doi:10.1007/s12199-010-0185-7
García-Artero E, Ortega FFB, Ruiz JRJ, et al. Lipid and metabolic profiles in adolescents are affected more by physical fitness than physical activity (AVENA study). Rev Esp Cardiol. 2007;60:581-588. doi:10.1157/13107114
Brage S, Wedderkopp N, Ekelund U, et al. Features of the Metabolic Syndrome Are Associated with Objectively Measured Physical Activity and Fitness in Danish Children: the European Youth Heart Study (EYHS). Am Diabetes Assoc. 2004;27:2141-2148. doi:10.2337/diacare.27.9.2141
Eisenmann JC, Wickel EE, Welk GJ, Blair SN. Relationship between adolescent fitness and fatness and cardiovascular disease risk factors in adulthood: the aerobics center longitudinal study (ACLS). Am Heart J. 2005;149:46-53. doi:10.1016/j.ahj.2004.07.016
Bailey DP, Boddy LM, Savory LA, Denton SJ, Kerr CJ. Associations between cardiorespiratory fitness, physical activity and clustered cardiometabolic risk in children and adolescents: the HAPPY study. Eur J Pediatr. 2012;171:1317-1323. doi:10.1007/S00431-012-1719-3
Franklin BA, Eijsvogels TMH, Pandey A, Quindry J, Toth PP. Physical activity, cardiorespiratory fitness, and cardiovascular health: a clinical practice statement of the ASPC part I: bioenergetics, contemporary physical activity recommendations, benefits, risks, extreme exercise regimens, potential maladaptations. Am J Prev Cardiol. 2022;12:100424. doi:10.1016/j.ajpc.2022.100424