Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study
Background: The negative gradient between socio-economic status and prevalence of non-communicable disease in adulthood has prompted investigation of potential foundations based in childhood. The objective of the present study is to examine the influence of socio-geographical variations and socioeco...
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| Formato: | Tesis de maestría (Master Thesis) |
| Lenguaje: | Español (Spanish) |
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Universidad del Rosario
2016
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| Acceso en línea: | http://repository.urosario.edu.co/handle/10336/12869 |
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ir-10336-12869 |
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EdocUR - Universidad del Rosario |
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Español (Spanish) |
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Socioeconomic status Muscular strength Cardiorespiratory fitnes Schoolchildren Epidemiology Promoción de salud Entrenamiento Salud pública Actividad motora Salud del adolescente Desarrollo del adolescente Sistema respiratorio |
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Socioeconomic status Muscular strength Cardiorespiratory fitnes Schoolchildren Epidemiology Promoción de salud Entrenamiento Salud pública Actividad motora Salud del adolescente Desarrollo del adolescente Sistema respiratorio Rodrigues-Bezerra, Diogo Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| description |
Background: The negative gradient between socio-economic status and prevalence of non-communicable disease in adulthood has prompted investigation of potential foundations based in childhood. The objective of the present study is to examine the influence of socio-geographical variations and socioeconomic status on health-related physical fitness in adolescents from a large population-based sample of Colombian ninth graders. Methods: During the 2014–2015 school years, we examined a cross-sectional component of the SER Study is a cross-sectional Body mass, height, muscular fitness (standing broad jump and handgrip tests) and cardiorespiratory fitness (20 m shuttle-run) were measured in n=52,204 14–16-year-olds. Area-level socioeconomic status was categorized from 1 to 6. A model was built by means of a step-by-step process and gradient maps were created to show physical fitness in the quartiles and the trend of physical fitness across disaggregated in Zonal Planning Units (in Spanish UPZ) in Bogotá, for each of the five health-related physical fitness variables. Results: Socioeconomic status was used as the only group-level variable and this had a significant effect on the models for all health-related physical fitness parameters except for handgrip. Cardiorespiratory fitness, standing broad jump, and body mass index increased 6.31, 2.69, and 1.45 times, respectively, on average with the maximum increase in socioeconomic status categories, when we compared two random individuals in each stratum. Conclusions: Our results suggest a significant association between health-related physical fitness variables and socio-geographical location in ninth grade adolescents from Bogotá, using a multilevel methodological approach. |
| author2 |
Ramírez-Vélez, Robinson |
| author_facet |
Ramírez-Vélez, Robinson Rodrigues-Bezerra, Diogo |
| format |
Tesis de maestría (Master Thesis) |
| author |
Rodrigues-Bezerra, Diogo |
| author_sort |
Rodrigues-Bezerra, Diogo |
| title |
Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| title_short |
Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| title_full |
Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| title_fullStr |
Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| title_full_unstemmed |
Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study |
| title_sort |
geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from bogotá, colombia: the ser study |
| publisher |
Universidad del Rosario |
| publishDate |
2016 |
| url |
http://repository.urosario.edu.co/handle/10336/12869 |
| _version_ |
1645141937501503488 |
| spelling |
ir-10336-128692019-09-19T12:37:54Z Geographical distribution, socioeconomic status and health- related physical fitness in adolescents from a large population-based sample from Bogotá, Colombia: the ser study Rodrigues-Bezerra, Diogo Ramírez-Vélez, Robinson Moreno-Montoya, Jose Correa Bautista, Jorge Enrique Tovar, Gustavo Socioeconomic status Muscular strength Cardiorespiratory fitnes Schoolchildren Epidemiology Promoción de salud Entrenamiento Salud pública Actividad motora Salud del adolescente Desarrollo del adolescente Sistema respiratorio Background: The negative gradient between socio-economic status and prevalence of non-communicable disease in adulthood has prompted investigation of potential foundations based in childhood. The objective of the present study is to examine the influence of socio-geographical variations and socioeconomic status on health-related physical fitness in adolescents from a large population-based sample of Colombian ninth graders. Methods: During the 2014–2015 school years, we examined a cross-sectional component of the SER Study is a cross-sectional Body mass, height, muscular fitness (standing broad jump and handgrip tests) and cardiorespiratory fitness (20 m shuttle-run) were measured in n=52,204 14–16-year-olds. Area-level socioeconomic status was categorized from 1 to 6. A model was built by means of a step-by-step process and gradient maps were created to show physical fitness in the quartiles and the trend of physical fitness across disaggregated in Zonal Planning Units (in Spanish UPZ) in Bogotá, for each of the five health-related physical fitness variables. Results: Socioeconomic status was used as the only group-level variable and this had a significant effect on the models for all health-related physical fitness parameters except for handgrip. Cardiorespiratory fitness, standing broad jump, and body mass index increased 6.31, 2.69, and 1.45 times, respectively, on average with the maximum increase in socioeconomic status categories, when we compared two random individuals in each stratum. Conclusions: Our results suggest a significant association between health-related physical fitness variables and socio-geographical location in ninth grade adolescents from Bogotá, using a multilevel methodological approach. 2016-11-18 2017-02-06T14:52:30Z info:eu-repo/semantics/masterThesis info:eu-repo/semantics/acceptedVersion http://repository.urosario.edu.co/handle/10336/12869 spa http://creativecommons.org/licenses/by-nc-nd/2.5/co/ info:eu-repo/semantics/openAccess application/pdf Universidad del Rosario Maestría en Actividad Física y Salud Facultad de medicina instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR Ortega F, Ruiz J, Castillo M, Sjöström M. Physical fitness in childhood and adolescence: a powerful marker of health. International journal of obesity. 2008;32(1):1-11. Bebcakova V, Vadasova B, Kacur P, Junger J, Borzikova I, Zvonar M, et al. Distribution of health-related physical fitness in Slovak population. SpringerPlus. 2015;4(1):1. Ganley KJ, Paterno MV, Miles C, Stout J, Brawner L, Girolami G, et al. Health-related fitness in children and adolescents. Pediatric physical therapy. 2011;23(3):208-20. Hian TC, Mahmud ZF, Choong TY. Physical fitness level between urban and rural students-case study. Procedia-Social and Behavioral Sciences. 2013;90:847-52. Pate R, Oria M, Pillsbury L. Fitness measures and health outcomes in youth: National Academies Press; 2013. Lobelo F, Pate RR, Dowda M, Liese AD, Daniels SR. Cardiorespiratory fitness and clustered cardiovascular disease risk in US adolescents. Journal of Adolescent Health. 2010;47(4):352-9. Sénéchal M, Wicklow B, Wittmeier K, Hay J, MacIntosh AC, Eskicioglu P, et al. Cardiorespiratory fitness and adiposity in metabolically healthy overweight and obese youth. Pediatrics. 2013;132(1):e85-e92. Zhang Y, Ren J. Epigenetics and obesity cardiomyopathy: from pathophysiology to prevention and management. Pharmacology & therapeutics. 2016;161:52-66. Tsimeas P, Tsiokanos A, Koutedakis Y, Tsigilis N, Kellis S. Does living in urban or rural settings affect aspects of physical fitness in children? An allometric approach. British journal of sports medicine. 2005;39(9):671-4. Petroski EL, Fernandes da Silva A, Bispo Rodrigues A, Pelegrini A. Health-related physical fitness in Brazilian adolescents from areas having a medium/low Human Development Index. Revista de salud publica. 2011;13(2):219-28. Brug J, Stralen M, ChinAPaw MJ, De Bourdeaudhuij I, Lien N, Bere E, et al. Differences in weight status and energy‐balance related behaviours according to ethnic background among adolescents in seven countries in Europe: the ENERGY‐project. Pediatric obesity. 2012;7(5):399-411. Joens‐Matre RR, Welk GJ, Calabro MA, Russell DW, Nicklay E, Hensley LD. Rural–urban differences in physical activity, physical fitness, and overweight prevalence of children. The Journal of rural health. 2008;24(1):49-54. Garber MD, Sajuria M, Lobelo F. Geographical variation in health-related physical fitness and body composition among Chilean 8th graders: a nationally representative cross-sectional study. PloS one. 2014;9(9):e108053. Parra DC, Iannotti L, Gomez LF, Pachón H, Haire-Joshu D, Sarmiento OL, et al. The nutrition transition in Colombia over a decade: a novel household classification system of anthropometric measures. Archives of Public Health. 2015;73(1):1. Ramírez-Vélez R, Rodrigues-Bezerra D, Correa-Bautista JE, Izquierdo M, Lobelo F. Reliability of health-related physical fitness tests among Colombian children and adolescents: the FUPRECOL study. PloS one. 2015;10(10):e0140875. Andrade S, Ochoa-Avilés A, Lachat C, Escobar P, Verstraeten R, Van Camp J, et al. Physical fitness among urban and rural Ecuadorian adolescents and its association with blood lipids: a cross sectional study. BMC pediatrics. 2014;14(1):1. Carvajal G, Castro H, Garcia M, Prieto F. Perspectiva desde el enfoque humanista al Plan de desarrollo de Bogotá DC 2012–2016. ISOCUANTA. 2015;4(1). de Bogotá AM. Secretaría de Gobierno. Universidad de los Andes. 2000. 19 19. para la Localización R. Departamento Administrativo Nacional de Estadística. 2010. Ruiz JR, Castro-Piñero J, España-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. British journal of sports medicine. 2011:bjsports75341. British journal of sports medicine. 2011:bjsports75341. Leger L, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. Journal of sports sciences. 1988;6(2):93-101. Pacheco-Herrera JD, Ramírez-Vélez R, Correa-Bautista JE. Índice general de fuerza y adiposidad como medida de la condición física relacionada con la salud en niños y adolescentes de Bogotá, Colombia: estudio FUPRECOL. Nutrición Hospitalaria. 2016;33(3):556-64. Ramírez-Vélez R, Morales O, Peña-Ibagon JC, Palacios-López A, Prieto-Benavides DH, Vivas A, et al. Normative Reference Values For Handgrip Strength In Colombian Schoolchildren: The Fuprecol Study. Journal of strength and conditioning research/National Strength & Conditioning Association. 2016. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. Bmj. 2000;320(7244):1240. Statistics NCfH. CDC growth charts: United States. 2000. Control CfD, Prevention. Nutrition, physical activity and obesity data, trends and maps web site. 2015. Larsen K, Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. American journal of epidemiology. 2005;161(1):81-8. Rivera JÁ, de Cossío TG, Pedraza LS, Aburto TC, Sánchez TG, Martorell R. Childhood and adolescent overweight and obesity in Latin America: a systematic review. The lancet Diabetes & endocrinology. 2014;2(4):321-32. Gualteros JA, Torres JA, Umbarila-Espinosa LM, Rodríguez-Valero FJ, Ramírez-Vélez R. A lower cardiorespiratory fitness is associated to an unhealthy status among children and adolescents from Bogotá, Colombia. Endocrinología y Nutrición (English Edition). 2015;62(9):437-46. Ramos-Sepúlveda JA, Ramírez-Vélez R, Correa-Bautista JE, Izquierdo M, García-Hermoso A. Physical fitness and anthropometric normative values among Colombian-Indian schoolchildren. BMC Public Health. 2016;16(1):962. Bohr AD, Brown DD, Laurson KR, Smith PJ, Bass RW. Relationship between socioeconomic status and physical fitness in junior high school students. Journal of school health. 2013;83(8):542-7. Esmaeilzadeh S, Kalantari H, Nakhostin-Roohi B. Cardiorespiratory fitness, activity level, health-related anthropometric variables, sedentary behaviour and socioeconomic status in a sample of Iranian 7-11 year old boys. Biol. Sport. 2013;30:67-71. Mutunga M, Gallagher A, Boreham C, Watkins D, Murray L, Cran G, et al. Socioeconomic differences in risk factors for obesity in adolescents in Northern Ireland. International Journal of Pediatric Obesity. 2006;1(2):114-9. Jiménez Pavón D, Ortega FB, Ruiz JR, España Romero V, Garcia Artero E, Moliner Urdiales D, et al. Socioeconomic status influences physical fitness in European adolescents independently of body fat and physical activity: the HELENA study. 2010 Jin Y. Associations between family income and children’s physical fitness and obesity in California, 2010-2012. Preventing chronic disease. 2015;12. Freitas D, Maia J, Beunen G, Claessens A, Thomis M, Marques A, et al. Socio-economic status, growth, physical activity and fitness: the Madeira Growth Study. Annals of human biology. 2007;34(1):107-22. Jiménez-Pavón D, Ortega FB, Ruiz JR, Chillón P, Castillo R, Artero EG, et al. Influence of socioeconomic factors on fitness and fatness in Spanish adolescents: the AVENA study. International Journal of Pediatric Obesity. 2010;5(6):467-73. McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Education & Behavior. 1988;15(4):351-77. Harrington DM, Gillison F, Broyles ST, Chaput JP, Fogelholm M, Hu G, et al. Household‐level correlates of children's physical activity levels in and across 12 countries. Obesity. 2016;24(10):2150-7. Lindgren M, Börjesson M, Ekblom Ö, Bergström G, Lappas G, Rosengren A. Physical activity pattern, cardiorespiratory fitness, and socioeconomic status in the SCAPIS pilot trial—A cross-sectional study. Preventive Medicine Reports. 2016;4:44-9. Lakka TA, Kauhanen J, T SALONEN J. Conditioning leisure time physical activity and cardiorespiratory fitness in sociodemographic groups of middle-aged men in eastern Finland. International journal of epidemiology. 1996;25(1):86-93. Shishehbor MH, Gordon-Larsen P, Kiefe CI, Litaker D. Association of neighborhood socioeconomic status with physical fitness in healthy young adults: the Coronary Artery Risk Development in Young Adults (CARDIA) study. American heart journal. 2008;155(4):699-705. Sugiyama T, Howard NJ, Paquet C, Coffee NT, Taylor AW, Daniel M. Do relationships between environmental attributes and recreational walking vary according to area-level socioeconomic status? Journal of Urban Health. 2015;92(2):253-64. Leslie E, Cerin E, Kremer P. Perceived neighborhood environment and park use as mediators of the effect of area socio-economic status on walking behaviors. Journal of physical activity & health. 2010;7(6):802-10. |
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12,111491 |