Relationship between green space near schools with physical activity and body mass index in portuguese adolescents
DOI:
https://doi.org/10.12820/rbafs.27e0291Palabras clave:
Health, Obesity, Parks, VegetationResumen
Our aim was to determine the relationship between urban green spaces (UGS) number and greenness amount close to school with physical activity (PA) and body mass index (BMI) of adolescents. Participants (n = 194, aged 13–18 years) were recruited in 75 public secondary schools in the Porto Metropolitan Area. We used a self administered questionnaire to obtain information on height, weight, age and sex. PA levels were assessed using accelerometers. UGS number and greenness amount were measured using network buffers by 300, 500, 1000 and 1500 meters around each school, through geographic information system and normalized difference vegetation index (NDVI), respectively. Multilevel regressions were fitted to each green indicator individually. Multilevel models without adjustment showed a direct relationship between PA and NDVI [B = 118.14; 95%CI: 20.71, 215.57] and inverse relationship between PA and UGS number [B = -5.95; 95%CI: -10.06, -1.83] at 300 meters. Multilevel models with adjustment for socioeconomic deprivation showed a direct relationship between BMI and NDVI [B = 83.41; 95%CI: 30.84, 135.98] at 500 meters and a direct relationship between BMI and NDVI [B = 61.68; 95%CI: 3.07, 120.29] at 1000 meters. The present investigation does not support the idea that UGS number and the NDVI close to school promote PA and metabolic health in adolescents, as the results proved to be inconsistent and dependent on the distance threshold used to define geographic proximity.
Descargas
Citas
Ribeiro AI, Launay L, Guillaume E, Launoy G, Barros H. The Portuguese version of the European Deprivation Index: Development and association with all-cause mortality. PloS one. 2018;13(12):e0208320. DOI: https://doi.org/10.1371/journal.pone.0208320
Tambalis KD, Sidossis LS. Physical Activity and Cardiometabolic Health. Cardiorespiratory Fitness in Cardiometabolic Diseases: Prevention and Management in Clinical Practice. 2019:405. DOI: https://doi.org/10.1007/978-3-030-04816-7_24
Van Sluijs EMF, Ekelund U, Crochemore-Silva I, Guthold R, Ha A, Lubans D, et al. Physical activity behaviours in adolescence: current evidence and opportunities for intervention. The Lancet. 2021;398(10298):429-42. DOI: https://doi.org/10.1016/S0140-6736(21)01259-9
Aira T, Vasankari T, Heinonen OJ, Korpelainen R, Kotkajuuri J, Parkkari J, et al. Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time. Int. J. Behav. Nutr. Phys. Act 2021;18(1):1-11. DOI: https://doi.org/10.1186/s12966-021-01130-x
Motevalli M, Drenowatz C, Tanous DR, Khan NA, Wirnitzer K. Management of childhood obesity—Time to shift from generalized to personalized intervention strategies. Nutrients. 2021;13(4):1200. DOI: https://doi.org/10.3390/nu13041200
Katzmarzyk PT, Broyles ST, Chaput JP, Fogelholm M, Hu G, Lambert EV, et al. Sources of variability in childhood obesity indicators and related behaviors. Int J Obes. 2018;42(1):108-10. DOI: https://doi.org/10.1038/ijo.2017.204
Dadvand P, Nieuwenhuijsen M. Green space and health. Integrating Human Health into Urban and Transport Planning: Springer; 2019. p. 409-23. DOI: https://doi.org/10.1007/978-3-319-74983-9_20
Islam MZ, Johnston J, Sly PD. Green space and early childhood development: a systematic review. Rev Environ Health 2020;35(2):189-200. DOI: https://doi.org/10.1515/reveh-2019-0046
Klompmaker JO. Health effects of combined exposure to surrounding green, air pollution and traffic noise: Universiteit Utrecht; 2020. DOI: https://doi.org/10.1289/isee.2020.virtual.O-OS-497
Instituto Português de Geografia. Carta Administrativa Oficial de Portugal (CAOP). 2013.
Instituto Nacional de Estatística. Censos 2011 - Quadros de apuramento por freguesia. 2012.
World Health Organization. Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee. 1995.
Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, Mora-Gonzalez J, Löf M, et al. Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations. Sports Med. 2017;47(9):1821-45. DOI: https://doi.org/10.1007/s40279-017-0716-0
Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J. Sports Sci. 2008;26(14):1557-65. DOI: https://doi.org/10.1080/02640410802334196
Ribeiro AI, Santos AC, Vieira VM, Barros H. Hotspots of childhood obesity in a large metropolitan area: does neighbourhood social and built environment play a part? Int J Epidemiol. 2020;49(3):934-43. DOI: https://doi.org/10.1093/ije/dyz205
Paciência I, Moreira A, Moreira C, Cavaleiro Rufo J, Sokhatska O, Rama T, et al. Neighbourhood green and blue spaces and allergic sensitization in children: A longitudinal study based on repeated measures from the Generation XXI cohort. Sci Total Environ. 2021;772:145394. DOI: https://doi.org/10.1016/j.scitotenv.2021.145394
Kerr J, Sallis JF, Owen N, De Bourdeaudhuij I, Cerin E, Sugiyama T, et al. Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. J Phys Act Health. 2013;10(4):581-601. DOI: https://doi.org/10.1123/jpah.10.4.581
Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155-63. DOI: https://doi.org/10.1016/j.jcm.2016.02.012
Fedak KM, Bernal A, Capshaw ZA, Gross S. Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology. Emerg Themes Epidemiol. 2015;12(1):1-9. DOI: https://doi.org/10.1186/s12982-015-0037-4
Burgoine T, Jones AP, Namenek Brouwer RJ, Benjamin Neelon SE. Associations between BMI and home, school and route environmental exposures estimated using GPS and GIS: Do we see evidence of selective daily mobility bias in children? Int J Health Geogr. 2015;14(1). DOI: https://doi.org/10.1186/1476-072X-14-8
Education for All 2000-2015: Achievements and challenges: United Nations Educational, Scientific and Cultural Organization; 2015.
Yang Y, Lu Y, Yang L, Gou Z, Zhang X. Urban greenery, active school transport, and body weight among Hong Kong children. Travel Behav Soc. 2020;20:104-13. DOI: https://doi.org/10.1016/j.tbs.2020.03.001
Bao W-W, Yang B-Y, Zou Z-Y, Ma J, Jing J, Wang H-J, et al. Greenness surrounding schools and adiposity in children and adolescents: Findings from a national population-based study in China. Environ Res. 2021;192:110289. DOI: https://doi.org/10.1016/j.envres.2020.110289
Wilhelmsen CK, Skalleberg K, Raanaas RK, Tveite H, Aamodt G. Associations between green area in school neighbourhoods and overweight and obesity among Norwegian adolescents. Prev Med Rep. 2017;7:99-105. DOI: https://doi.org/10.1016/j.pmedr.2017.05.020
Adamo KB, Prince SA, Tricco AC, Connor-Gorber S, Tremblay M. A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: A systematic review. Int J Pediatr Obes. 2009;4(1):2-27. DOI: https://doi.org/10.1080/17477160802315010
Clennin M, Brown A, Lian M, Dowda M, Colabianchi N, Pate RR. Neighborhood Socioeconomic Deprivation Associated with Fat Mass and Weight Status in Youth. Int J Environ Res Public Health. 2020;17(17):6421. DOI: https://doi.org/10.3390/ijerph17176421
Luo Y-N, Huang W-Z, Liu X-X, Markevych I, Bloom MS, Zhao T, et al. Green space with overweight and obesity: A systematic review and meta-analysis of epidemiological studies up to 2020. Obes Rev. 2020;21(11):e13078. DOI: https://doi.org/10.1111/obr.13078
He J, Cai Z, Fan X. Accuracy of using self-reported data to screen children and adolescents for overweight and obesity status: A diagnostic meta-analysis. Obes Res Clin Pract. 2017;11(3):257-67. DOI: https://doi.org/10.1016/j.orcp.2017.03.004
Taherdoost H. Determining sample size; how to calculate survey sample size. Int J of Econ Manag Syst. 2017;2.
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2023 Brazilian Journal of Physical Activity & Health
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Al enviar un manuscrito a la Revista Brasileira de Atividade Física & Saúde, los autores mantienen la titularidad de los derechos de autor sobre el artículo y autorizan a la Revista Brasileira de Atividade Física & Saúde a publicar este manuscrito bajo la Licencia Creative Commons Atribución 4.0 e identificarla como el vehículo de su publicación original.