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Environmental perceptions and its associations with physical fitness and body composition in adolescents: longitudinal results from the LabMed Physical Activity Study

  • André Oliveira EMAIL logo , Luis Lopes , Sandra Abreu , Carla Moreira , Pedro Silva , César Agostinis-Sobrinho , José Oliveira-Santos , Jorge Mota and Rute Santos
Published/Copyright: April 10, 2018

Abstract

Background

The environmental correlates have been extensively studied in the last years, but most associations with physical fitness (PF) and body composition have been cross-sectional in nature.

Objective

This study aimed to determine if adolescents’ environmental perceptions associated with PF and body composition in a 2-year follow-up.

Subjects

Participants were 583 adolescents aged 12–18 years (299 girls) from the LabMed Physical Activity Study.

Methods

PF and body composition were assessed with the protocols of the ALPHA health-related fitness battery and environmental perceptions with the ALPHA environmental questionnaire. Linear regression models were used to determine the associations between environmental perceptions at baseline and PF and anthropometric measures at follow-up.

Results

Results showed that perceptions of distant facilities at baseline were associated with lower fitness at follow-up in boys. Also, boys’ lower study environment perceptions at baseline were associated with higher body composition at follow-up. Positive perceptions of a pleasant environment at baseline were associated with better fitness at follow-up in boys. Additionally, girls’ positive bike lanes availability and esthetics perceptions at baseline were associated with better body composition at follow-up.

Conclusion

Positive environmental perceptions at baseline are associated with better PF and body composition at follow-up.

Acknowledgments

The authors gratefully acknowledged the participation of all adolescents and their parents, teachers and schools of the LabMed Study. They also acknowledge the cooperation of volunteers’ subjects and the Research Centre in Physical Activity, Health and Leisure (University of Porto) for sponsoring the LabMed Study.

  1. Conflicts of interest: No conflicts of interest were reported by the authors of this paper.

  2. Funding source: This study was supported by FCT grant: BPD/102381/2014. The Research Centre on Physical Activity, Health and Leisure (CIAFEL) is supported by UID/DTP/00617/2013.

References

[1] USDHHS. Physical activity guidelines for Americans. In: USDHHS. Washington, DC 2008.Search in Google Scholar

[2] Francis SL, Morrissey JL, Letuchy EM, Levy SM, Janz KF. Ten-year objective physical activity tracking: Iowa Bone Development Study. Med Sci Sports Exerc. 2013;45(8):1508–14.10.1249/MSS.0b013e31828b2f3aSearch in Google Scholar

[3] Telama R, Yang X, Leskinen E, Kankaanpaa A, Hirvensalo M, Tammelin T, et al. Tracking of physical activity from early childhood through youth into adulthood. Med Sci Sports Exerc. 2014;46(5):955–62.10.1249/MSS.0000000000000181Search in Google Scholar

[4] Bugge A, El-Naaman B, McMurray RG, Froberg K, Andersen LB. Tracking of clustered cardiovascular disease risk factors from childhood to adolescence. Pediatr Res. 2013;73(2):245–9.10.1038/pr.2012.158Search in Google Scholar

[5] Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.10.1016/S0140-6736(12)60735-1Search in Google Scholar

[6] Ding D, Sallis JF, Kerr J, Lee S, Rosenberg DE. Neighborhood environment and physical activity among youth a review. Am J Prev Med. 2011;41(4):442–55.10.1016/j.amepre.2011.06.036Search in Google Scholar PubMed

[7] Van Dyck D, De Meester F, Cardon G, Deforche B, De Bourdeaudhuij I. Physical environmental attributes and active transportation in Belgium: what about adults and adolescents living in the same neighborhoods? Am J Health Promot. 2013;27(5):330–8.10.4278/ajhp.120316-QUAN-146Search in Google Scholar PubMed

[8] Gilliland JA, Rangel CY, Healy MA, Tucker P, Loebach JE, Hess PM, et al. Linking childhood obesity to the built environment: a multi-level analysis of home and school neighbourhood factors associated with body mass index. Can J Public Health. 2012;103(9 Suppl 3):eS15–21.10.1007/BF03403830Search in Google Scholar

[9] Hsieh S, Klassen AC, Curriero FC, Caulfield LE, Cheskin LJ, Davis JN, et al. Built environment associations with adiposity parameters among overweight and obese hispanic youth. Prev Med Rep. 2015;2:406–12.10.1016/j.pmedr.2015.05.005Search in Google Scholar PubMed PubMed Central

[10] Miller LJ, Joyce S, Carter S, Yun G. Associations between childhood obesity and the availability of food outlets in the local environment: a retrospective cross-sectional study. Am J Health Promot. 2014;28(6):e137–45.10.4278/ajhp.130214-QUAN-70Search in Google Scholar PubMed

[11] Duncan DT, Castro MC, Gortmaker SL, Aldstadt J, Melly SJ, Bennett GG. Racial differences in the built environment-body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods. Int J Health Geogr. 2012;11:11.10.1186/1476-072X-11-11Search in Google Scholar PubMed PubMed Central

[12] Duncan DT, Johnson RM, Molnar BE, Azrael D. Association between neighborhood safety and overweight status among urban adolescents. BMC Public Health. 2009;9:289.10.1186/1471-2458-9-289Search in Google Scholar PubMed PubMed Central

[13] Lange D, Wahrendorf M, Siegrist J, Plachta-Danielzik S, Landsberg B, Muller MJ. Associations between neighbourhood characteristics, body mass index and health-related behaviours of adolescents in the Kiel Obesity Prevention Study: a multilevel analysis. Eur J Clin Nutr. 2011;65(6):711–9.10.1038/ejcn.2011.21Search in Google Scholar PubMed

[14] Machado-Rodrigues AM, Coelho-e-Silva MJ, Mota J, Padez C, Ronque E, Cumming SP, et al. Cardiorespiratory fitness, weight status and objectively measured sedentary behaviour and physical activity in rural and urban Portuguese adolescents. J Child Health Care. 2012;16(2):166–77.10.1177/1367493511430676Search in Google Scholar PubMed

[15] Machado-Rodrigues AM, Coelho-e-Silva MJ, Mota J, Cumming SP, Riddoch C, Malina RM. Correlates of aerobic fitness in urban and rural Portuguese adolescents. Ann Hum Biol. 2011;38(4):479–84.10.3109/03014460.2011.554865Search in Google Scholar PubMed

[16] Madsen KA, Gosliner W, Woodward-Lopez G, Crawford PB. Physical activity opportunities associated with fitness and weight status among adolescents in low-income communities. Arch Pediatr Adolesc Med. 2009;163(11):1014–21.10.1001/archpediatrics.2009.181Search in Google Scholar PubMed PubMed Central

[17] Vanhelst J, Beghin L, Salleron J, Ruiz JR, Ortega FB, De Bourdeaudhuij I, et al. A favorable built environment is associated with better physical fitness in European adolescents. Prev Med. 2013;57(6):844–9.10.1016/j.ypmed.2013.09.015Search in Google Scholar PubMed

[18] Santos MP, Page AS, Cooper AR, Ribeiro JC, Mota J. Perceptions of the built environment in relation to physical activity in Portuguese adolescents. Health Place. 2009;15(2):548–52.10.1016/j.healthplace.2008.08.006Search in Google Scholar PubMed

[19] Mota J, Santos R, Pereira M, Teixeira L, Santos MP. Perceived neighbourhood environmental characteristics and physical activity according to socioeconomic status in adolescent girls. Ann Hum Biol. 2011;38(1):1–6.10.3109/03014460.2010.486769Search in Google Scholar PubMed

[20] Oliveira A, Mota J, Moreira C, Vale S, Abreu S, Moreira P, et al. Adolescents’ perception of environmental features and its association with physical activity: results from de Azorean Physical Activity and Health Study II. J Phys Act Health. 2014;11(5):917–21.10.1123/jpah.2012-0104Search in Google Scholar PubMed

[21] Mota J, Ribeiro JC, Santos MP. Obese girls differences in neighbourhood perceptions, screen time and socioeconomic status according to level of physical activity. Health Educ Res. 2009;24(1):98–104.10.1093/her/cyn001Search in Google Scholar PubMed

[22] Agostinis-Sobrinho C, Santos R, Moreira C, Abreu S, Lopes L, Oliveira-Santos J, et al. Association between serum adiponectin levels and muscular fitness in Portuguese adolescents: LabMed Physical Activity Study. Nutr Metab Cardiovasc Dis. 2016;26(6):517–24.10.1016/j.numecd.2016.02.011Search in Google Scholar PubMed

[23] WMA WMA. World medical association handbook of declarations. Farney Voltaire: World Medical Association; 1989.Search in Google Scholar

[24] Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign, I1: Human Kinetics Book; 1988.Search in Google Scholar

[25] Talma H, Chinapaw MJ, Bakker B, HiraSing RA, Terwee CB, Altenburg TM. Bioelectrical impedance analysis to estimate body composition in children and adolescents: a systematic review and evidence appraisal of validity, responsiveness, reliability and measurement error. Obes Rev. 2013;14(11):895–905.10.1111/obr.12061Search in Google Scholar PubMed

[26] Ruiz JR, Castro-Pinero J, Espana-Romero V, Artero EG, Ortega FB, Cuenca MM, et al. Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents. Br J Sports Med. 2011;45(6):518–24.10.1136/bjsm.2010.075341Search in Google Scholar PubMed

[27] ALPHAProject. The ALPHA health-related fitness test battery for children and adolescents. 2009. Available from: https://sites.google.com/site/alphaprojectphysicalactivity/. Accessed on July 8, 2018.Search in Google Scholar

[28] Spittaels H, Verloigne M, Gidlow C, Gloanec J, Titze S, Foster C, et al. Measuring physical activity-related environmental factors: reliability and predictive validity of the European environmental questionnaire ALPHA. Int J Behav Nutr Phys Act. 2010;7(1):48.10.1186/1479-5868-7-48Search in Google Scholar PubMed PubMed Central

[29] Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med. 2008;66(6):1429–36.10.1016/j.socscimed.2007.11.024Search in Google Scholar PubMed

[30] Rodrigues LP, Leitao R, Lopes VP. Physical fitness predicts adiposity longitudinal changes over childhood and adolescence. J Sci Med Sport. 2013;16(2):118–23.10.1016/j.jsams.2012.06.008Search in Google Scholar PubMed

[31] Telford RM, Telford RD, Cochrane T, Cunningham RB, Olive LS, Davey R. The influence of sport club participation on physical activity, fitness and body fat during childhood and adolescence: The LOOK Longitudinal Study. J Sci Med Sport. 2016;19(5):400–6.10.1016/j.jsams.2015.04.008Search in Google Scholar PubMed

[32] Souza M, Eisenmann J, Chaves R, Santos D, Pereira S, Forjaz C, et al. A methodological approach to short-term tracking of youth physical fitness: the Oporto Growth, Health and Performance Study. J Sports Sci. 2016;34(19):1–8.10.1080/02640414.2016.1142105Search in Google Scholar PubMed

[33] Freitas D, Beunen G, Maia J, Claessens A, Thomis M, Marques A, et al. Tracking of fatness during childhood, adolescence and young adulthood: a 7-year follow-up study in Madeira Island, Portugal. Ann Hum Biol. 2012;39(1):59–67.10.3109/03014460.2011.638322Search in Google Scholar PubMed

[34] Maddison R, Hoorn SV, Jiang Y, Mhurchu CN, Exeter D, Dorey E, et al. The environment and physical activity: the influence of psychosocial, perceived and built environmental factors. Int J Behav Nutr Phys Act. 2009;6:19.10.1186/1479-5868-6-19Search in Google Scholar PubMed PubMed Central

[35] Lowry R, Lee SM, Fulton JE, Demissie Z, Kann L. Obesity and other correlates of physical activity and sedentary behaviors among US high school students. J Obes. 2013;2013:276318.10.1155/2013/276318Search in Google Scholar PubMed PubMed Central

[36] Tester JM. The built environment: designing communities to promote physical activity in children. Pediatrics. 2009;123(6):1591–8.10.1542/peds.2009-0750Search in Google Scholar PubMed

[37] Ries AV, Gittelsohn J, Voorhees CC, Roche KM, Clifton KJ, Astone NM. The environment and urban adolescents’ use of recreational facilities for physical activity: a qualitative study. Am J Health Promot. 2008;23(1):43–50.10.4278/ajhp.07043042Search in Google Scholar PubMed

[38] Giles-Corti B, Kelty SF, Zubrick SR, Villanueva KP. Encouraging walking for transport and physical activity in children and adolescents: how important is the built environment? Sports Med. 2009;39(12):995–1009.10.2165/11319620-000000000-00000Search in Google Scholar PubMed

[39] Boone-Heinonen J, Popkin BM, Song Y, Gordon-Larsen P. What neighborhood area captures built environment features related to adolescent physical activity? Health Place. 2010;16(6):1280–6.10.1016/j.healthplace.2010.06.015Search in Google Scholar PubMed PubMed Central

[40] Cohen DA, Ashwood JS, Scott MM, Overton A, Evenson KR, Staten LK, et al. Public parks and physical activity among adolescent girls. Pediatrics. 2006;118(5):e1381–9.10.1542/peds.2006-1226Search in Google Scholar PubMed PubMed Central

[41] Duncan DT, Sharifi M, Melly SJ, Marshall R, Sequist TD, Rifas-Shiman SL, et al. Characteristics of walkable built environments and BMI z-scores in children: evidence from a large electronic health record database. Environ Health Perspect. 2014;122(12):1359–65.10.1289/ehp.1307704Search in Google Scholar PubMed PubMed Central

[42] Oreskovic NM, Winickoff JP, Kuhlthau KA, Romm D, Perrin JM. Obesity and the built environment among Massachusetts children. Clin Pediatr. 2009;48(9):904–12.10.1177/0009922809336073Search in Google Scholar PubMed

Received: 2017-11-26
Accepted: 2018-01-15
Published Online: 2018-04-10

©2018 Walter de Gruyter GmbH, Berlin/Boston

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