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Instituto Nacional de Salud Pública

2024, Number 4

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salud publica mex 2024; 66 (4)

Promotion of physical activity in schoolchildren and adolescents

Medina C, Jáuregui A, Blas N, Campos I, Macías N, López-Ridaura R, Barquera S

Language: Spanish
References: 49
Page: 437-447
PDF size: 293.86 Kb.


ABSTRACT

Objective. To examine the correlates of non-compliance with the movement behaviors (MB) recommendations, and the association with nutritional status in Mexican schoolchildren and adolescents. Materials and methods. Cross-sectional study with data from the National Health and Nutrition Survey 2022-2023 (Ensanut 2022-2023), including MB (physical activity, sedentary behavior and sleep), sociodemographic characteristics (sex, well-being index, educational level, and rural/urban area) and nutritional status (body mass index). Univariate and multivariate logistic regressions were used. Results. Being female, living in urban areas, and having a higher well-being index were associated with not meeting any of the three MB recommendations (schoolchildren) or some individual MBs (schoolchildren and adolescents). Not meeting any of the three MB recommendations was associated with higher odds of being overweight or obesity in adolescents. Conclusions. Strategies to promote healthy MB with a gender perspective, especially in urban areas and among those with a higher well-being index, should be prioritized.


REFERENCES

  1. Rhodes RE, Janssen I, Bredin SSD, Warburton DER, Bauman A. Physicalactivity: Health impact, prevalence, correlates and interventions. PsycholHealth. 2017;32(8):942-75. https://doi.org/10.1080/08870446.2017.1325486

  2. Trott M, Driscoll R, Irlado E, Pardhan S. Changes and correlates ofscreen time in adults and children during the COVID-19 pandemic: Asystematic review and meta-analysis. EClinicalMedicine. 2022;48:101452.https://doi.org/10.1016/j.eclinm.2022.101452

  3. Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, et al. Systematicreview of sedentary behaviour and health indicators in school-agedchildren and youth: an update. Appl Physiol Nutr Metab. 2016;41(6 Suppl3):S240-65. https://doi.org/10.1139/apnm-2015-0630

  4. Dutil C, Podinic I, Sadler CM, da Costa BG, Janssen I, Ross-White A, etal. Sleep timing and health indicators in children and adolescents: a systematicreview. Health Promot Chronic Dis Prev Can. 2022;42(4):150-69.https://doi.org/10.24095/hpcdp.42.4.04

  5. Chaput JP, Carson V, Gray CE, Tremblay MS. Importance of all movementbehaviors in a 24 hour period for overall health. Int J Environ Res PublicHealth. 2014;11(12):12575-81. https://doi.org/10.3390/ijerph111212575

  6. Tremblay MS, Carson V, Chaput JP, Connor-Gorber S, Dinh T, DugganM, et al. Canadian 24-hour movement guidelines for children and youth:An integration of physical activity, sedentary behaviour, and sleep. ApplPhysiol Nutr Metab. 2016;41(6 Suppl 3):S311-27. https://doi.org/10.1139/apnm-2016-0151

  7. Tapia-Serrano MA, Sevil-Serrano J, Sánchez-Miguel PA, López-Gil JF,Tremblay MS, García-Hermoso A. Prevalence of meeting 24-Hour MovementGuidelines from pre-school to adolescence: A systematic reviewand meta-analysis including 387,437 participants and 23 countries. J SportHealth Sci. 2022;11(4):427-37. https://doi.org/10.1016/j.jshs.2022.01.005

  8. Medina C, Jáuregui A, Hernández C, González C, Olvera AG, Blas N,et al. Prevalencia de comportamientos del movimiento en poblaciónmexicana. Salud Publica Mex. 2023;65(supl 1):s259-s67. https://doi.org/10.21149/14754

  9. Chen ST, Yan J. Prevalence and selected sociodemographic of movementbehaviors in schoolchildren from low- and middle-income families in Nanjing,China: A cross-sectional questionnaire survey. Children. 2020;7(2):13.https://doi.org/10.3390/children7020013

  10. Fairclough SJ, Dumuid D, Taylor S, Curry W, McGrane B, Stratton G,et al. Fitness, fatness and the reallocation of time between children’s dailymovement behaviours: an analysis of compositional data. Int J Behav NutrPhys Act. 2017;14(1):64. https://doi.org/10.1186/s12966-017-0521-z

  11. Chastin SF, Palarea-Albaladejo J, Dontje ML, Skelton DA. Combinedeffects of time spent in physical activity, sedentary behaviors and sleepon obesity and cardio-metabolic health markers: a novel compositionaldata analysis approach. PLoS One. 2015;10(10):e0139984. https://doi.org/10.1371/journal.pone.0139984

  12. Rollo S, Antsygina O, Tremblay MS. The whole day matters: Understanding24-hour movement guideline adherence and relationships withhealth indicators across the lifespan. J Sport Health Sci. 2020;9(6):493-510.https://doi.org/10.1016/j.jshs.2020.07.004

  13. López-Gil JF, Tapia-Serrano MA, Sevil-Serrano J, Sánchez-MiguelPA, García-Hermoso A. Are 24-hour movement recommendationsassociated with obesity-related indicators in the young population? Ameta-analysis. Obesity. 2023;31(11):2727-39. https://doi.org/10.1002/oby.23848

  14. Marques A, Ramirez-Campillo R, Gouveia ER, Ferrari G, Tesler R,Marconcin P, et al. 24-h movement guidelines and overweight and obesityindicators in toddlers, children and adolescents: A systematic review andmeta-analysis. Sports Med Open. 2023;9(1):30. https://doi.org/10.1186/s40798-023-00569-5

  15. Medina C, Jáuregui A, Hernández C, González C, Blas N, Campos I,et al. Factores asociados con el cumplimiento de los comportamientosdel movimiento en adultos mexicanos: Ensanut 2022. Salud Publica Mex.2023;65(6):674-84. https://doi.org/10.21149/15204

  16. Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arrendondo S, Colchero MA, Gaona-Pineda EB, et al. Metodología de laEncuesta Nacional de Salud y Nutrición 2022 y Planeación y diseño de laEnsanut Continua 2020-2024. Salud Publica Mex. 2022;64(5):522-9. https://doi.org/10.21149/14186

  17. Roberts C, Freeman J, Samdal O, Schnohr CW, de Looze ME, GabhainnNS, et al. The Health Behaviour in School-aged Children (HBSC) study:methodological developments and current tensions. Int J Public Health.2009;54(Suppl 2):140-50. https://doi.org/10.1007/s00038-009-5405-9

  18. Aubert S, Barnes JD, Demchenko I, Hawthorne M, Abdeta C, Abi-NaderP, et al. Global Matrix 4.0 physical activity report card grades for childrenand adolescents: Results and analyses from 57 countries. J Phys Act Health.2022;19(11):700-28. https://doi.org/10.1123/jpah.2022-0456

  19. Medina C, Barquera S, Janssen I. Validity and reliability of the InternationalPhysical Activity Questionnaire among adults in Mexico. Rev PanamSalud Publica. 2013;34(1):21-8.

  20. Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the InternationalPhysical Activity Questionnaire Short Form (IPAQ-SF): asystematic review. Int J Behav Nutr Phys Act. 2011;8:115. https://doi.org/10.1186/1479-5868-8-115

  21. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G,et al. World Health Organization 2020 guidelines on physical activityand sedentary behaviour. Br J Sports Med. 2020;54:1451-62. https://doi.org/10.1136/bjsports-2020-102955

  22. Hernández B, Gortmaker SL, Laird NM, Colditz GA, Parra-CabreraS, Peterson KE. Validity and reproducibility of a questionnaire on physicalactivity and non-activity for school children in Mexico City. Salud PublicaMex. 2000;42(4):315-23.

  23. American Academy of Pediatrics. Committee on Public Education.American Academy of Pediatrics: Children, adolescents, and television.Pediatrics. 2001;107(2):423-6.

  24. Canadian Society for Exercise Physiology. 24-Hour Movement Guidelines.Ottawa: CSEP [citado marzo 2024]. Disponible en: Disponible en:https://csepguidelines.ca/

  25. Lohman TG, Roche, AF, Martorell R. Anthropometric standardizationreference manual. Chicago: Human Kinetics Books, 1988.

  26. Habicht JP. Standardization of anthropometric methods in the field.PAHO Bull. 1974;76(5):375-84.

  27. De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, SiekmannJ. Development of a WHO growth reference for school-aged childrenand adolescents. Bull World Health Organ. 2007;85(9):660-7. https://doi.org/10.2471/blt.07.043497

  28. Gutiérrez JP. Clasificación socioeconómica de los hogares en laEnsanut 2012. Salud Publica Mex. 2013;55(Supl 2):S342-S6. https://doi.org/10.21149/spm.v55s2.5133

  29. Instituto Nacional de Estadística y Geografía. Censo de Población yVivienda (2020). Síntesis metodológica y conceptual. Características de laslocalidades 2020. México: Inegi, 2021 [citado marzo 2024]. Disponible en:https://www.inegi.org.mx/contenidos/productos/prod_serv/contenidos/espanol/bvinegi/productos/nueva_estruc/702825197605.pdf

  30. Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficientphysical activity among adolescents: a pooled analysis of 298 populationbasedsurveys with 1.6 million participants. Lancet Child Adolesc Health.2020;4(1):23-35. https://doi.org/10.1016/S2352-4642(19)30323-2

  31. López-Gil JF, Roman-Vinas B, Aznar S, Tremblay MS. Meeting 24-hmovement guidelines: Prevalence, correlates, and associations withsocioemotional behavior in Spanish minors. Scand J Med Sci Sports.2022;32(5):881-91. https://doi.org/10.1111/sms.14132

  32. Da Costa BGG, Chaput JP, Lopes MVV, Malheiros LEA, Tremblay MS, SilvaKS. Prevalence and sociodemographic factors associated with meeting the24-hour movement guidelines in a sample of Brazilian adolescents. PLoSOne. 2020;15(9):e0239833. https://doi.org/10.1371/journal.pone.0239833

  33. Medina C, Barquera S, Katzmarzyk PT, Janssen I. Physical activity duringrecess among 13-14 year old Mexican girls. BMC Pediatr. 2015;15:17.https://doi.org/10.1186/s12887-015-0329-4

  34. Janssen I, Medina C, Pedroza A, Barquera S. Screen time in Mexicanchildren: findings from the 2012 National Health and Nutrition Survey(Ensanut 2012). Salud Publica Mex. 2013;55(5):484-91. https://doi.org/10.21149/spm.v55i5.7248

  35. Mielke GI, Brown WJ, Nunes BP, Silva ICM, Hallal PC. Socioeconomiccorrelates of sedentary behavior in adolescents: Systematic review andmeta-analysis. Sports Med. 2017;47(1):61-75. https://doi.org/10.1007/s40279-016-0555-4

  36. Mayne SL, Mitchell JA, Virudachalam S, Fiks AG, Williamson AA. Neighborhoodenvironments and sleep among children and adolescents: A systematicreview. Sleep Med Rev. 2021;57:101465. https://doi.org/10.1016/j.smrv.2021.101465

  37. Morton KL, Atkin AJ, Corder K, Suhrcke M, van Sluijs EMF. The schoolenvironment and adolescent physical activity and sedentary behaviour: amixed-studies systematic review. Obes Rev. 2016;17(2):142-58. https://doi.org/10.1111/obr.12352

  38. Etindele-Sosso FA, Holmes SD, Weinstein AA. Influence of socioeconomicstatus on objective sleep measurement: A systematic review andmeta-analysis of actigraphy studies. Sleep Health. 2021;7(4):417-28. https://doi.org/10.1016/j.sleh.2021.05.005

  39. Etindele-Sosso FA, Khoury T. Socioeconomic status and sleepdisturbances among pediatric population: a continental systematicreview of empirical research. Sleep Sci. 2021;14(3):245-56. https://doi.org/10.5935/1984-0063.20200082

  40. Hale L, Guan S. Screen time and sleep among school-aged children andadolescents: A systematic literature review. Sleep Med Rev. 2015;21:50-8.https://doi.org/10.1016/j.smrv.2014.07.007

  41. Belmon LS, van Stralen MM, Busch V, Harmsen IA, Chinapaw MJM.What are the determinants of children’s sleep behavior? A systematicreview of longitudinal studies. Sleep Med Rev. 2019;43:60-70. https://doi.org/10.1016/j.smrv.2018.09.007

  42. Johnson DA, Billings ME, Hale L. Environmental determinants ofinsufficient sleep and sleep disorders: implications for population health.Curr Epidemiol Rep. 2018;5:61-9. https://doi.org/10.1007/s40471-018-0139-y

  43. Fatima Y, Doi SAR, Mamun AA. Sleep quality and obesity in youngsubjects: a meta-analysis. Obes Rev. 2016;17(11):1154-66. https://doi.org/10.1111/obr.12444

  44. Deng X, He M, He D, Zhu Y, Zhang Z, Niu W. Sleep duration and obesityin children and adolescents: evidence from an updated and dose-responsemeta-analysis. Sleep Med. 2021;78:169-81. https://doi.org/10.1016/j.sleep.2020.12.027

  45. Shi Y, Huang WY, Sit CHP, Wong SHS. Compliance With 24-Hour MovementGuidelines in Hong Kong Adolescents: Associations With WeightStatus. J Phys Act Health. 2020;17(3):287-92. https://doi.org/10.1123/jpah.2019-0230

  46. Laurson KR, Lee JA, Gentile DA, Walsh DA, Eisenmann JC. Concurrentassociations between physical activity, screen time, and sleep durationwith childhood obesity. ISRN Obes. 2014;2014:204540. https://doi.org/10.1155/2014/204540

  47. Carson V, Chaput JP, Janssen I, Tremblay MS. Health associationswith meeting new 24-hour movement guidelines for Canadian childrenand youth. Prev Med. 2017;95:7-13. https://doi.org/10.1016/j.ypmed.2016.12.005

  48. Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adultobesity from childhood obesity: a systematic review and meta-analysis.Obes Rev. 2016;17(2):95-107. https://doi.org/10.1111/obr.12334

  49. Milton K, Gale J, Stamatakis E, Bauman A. Trends in prolonged sittingtime among European adults: 27 country analysis. Prev Med. 2015;77:11 6.https://doi.org/10.1016/j.ypmed.2015.04.016




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