Factors associated with physical activity and body mass index among schoolchildren from Arandas, Jalisco, Mexico

Lizette Miranda-Ríos; Edgar M Vásquez-Garibay; Enrique Romero-Velarde; María Eugenia Nuño-Cosío; Liliana Campos-Barrera; Erika A Caro-Sabido; Joanie Ramírez-Díaz

2017, Number 4

<< Back Next >>

Rev Med Inst Mex Seguro Soc 2017; 55 (4)

Factors associated with physical activity and body mass index among schoolchildren from Arandas, Jalisco, Mexico

Miranda-Ríos L, Vásquez-Garibay EM, Romero-Velarde E, Nuño-Cosío ME, Campos-Barrera L, Caro-Sabido EA, Ramírez-Díaz J

Full text

How to cite this article

Language: Spanish
References: 27
Page: 472-480
PDF size: 339.30 Kb.

ABSTRACT

Background: In 2015, Mexico was the top country for childhood obesity. The objective was to identify the association between physical activity and sedentary lifestyle with the social and demographic characteristics of families of schoolchildren in Arandas, Jalisco, Mexico.
Methods: In a cross-sectional study, 192 schoolchildren were randomly selected. Body mass index (BMI), active and sedentary behaviors, and socio-demographic characteristics of families were obtained. Logistic regression models with the included variables were constructed.
Results: Males living in not-crowding houses [OR 6.12 (2.17-17.25), p = 0.001], whose mothers were housewives [OR 2.44 (1.00, 5.94), p = 0.05], practiced more physical activity. Active transport to school was more common in schoolchildren whose fathers had lower income [OR 3.13 (1.27, 7.7), p = 0.013] and employment as peasant or mason [OR 5.12 (1.13, 23.3), p = 0.034]. Schoolchildren of nuclear families spent more hours watching television [OR 2.69 (1.10, 6.58), p = 0.03]. The frequency of outdoor playing was higher in males whose fathers had unstable employment [OR 2.93 (1.06, 8.1), p = 0.038] and low education [OR 2.94 (0.96, 8.98), p = 0.059].
Conclusion: Families with lower socioeconomic strata (less educated parents, unstable employment and family overcrowding) are more associated with active activities that do not require active economic spending.

REFERENCES

Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando-Hernández S, Franco A, Cuevas-Nasu L. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública (MX); 2012.
Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, et al. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006.
Hallal P, Andersen L, Bull FC, Guthold R, Haskell W, Ekelund U. Physical activity 1. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247-57.
Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3): 105-13.
McMinn A, VanSluijs E, Wedderkropp N. Sociocultural correlates of physical activity in children and adolescents: findings from the Danish arm of the European Youth Heart Study. Pediatr Exerc Sci. 2008; 20(3):319-32.
Cambio. Boleta de calificaciones mexicana sobre la actividad física de niños y jóvenes. Global Health Research Initiative; 2012.
Navarro E, Oliver T. Factores personales, familiares y académicos en niños y adolescentes con baja autoestima. Boletín de Psicología. 2006;88:7-25.
Bauman A, Ma G, Omar Z, Waganivalu T, Phingsavan P, Bhushan A. Cross-national comparisons of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pacific countries. J Epidemiol Community Health. 2011;65(1):35-43.
De Munter J, Agyemang C, Brewster L, Strinks K, Van Valkengoed I. The association of leisure-time physical activity and active commuting with measures of socioeconomic position in a multiethnic population living in the Netherlands: results from the cross-sectional SUNSET study. BMC Public Health. 2012;12:815.
De Coker K, Artero E, De Henauw S, Dietrich S, Gottrand F, Béghij L, et al. Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study. Public Health Nutr. 2012(11);15:2100-9.
Cheng L, Mendonca G, De Farias J. Physical activity in adolescents: analysis of social influence of parents and friends. J Pediatr. 2014(1);90:35-41.
Hinkley T, Teychenne M, Downing K, Ball K, Salomon J, Hesketh K. Early childhood physical activity, sedentary behaviors and psychosocial well-being: A systematic review. Preventive Medicine. 2014;62: 182-92.
Vázquez-Nava F, Treviño-García Manzo N, Vázquez-Rodríguez CF, Vázquez-Rodríguez EM. Association between family structure, maternal education level, and maternal employment with sedentary lifestyle in primary school-age children. J Pediatr (Rio J). 2013;89(2):145-50.
Habitch JP. Standardization of quantitative epidemiological methods in the field. Bol Oficina Sanit Panam. 1974;76(5):375-84.
De Onis M, Lobstein T. Defining obesity risk status in the general childhood population: which cut-offs should we use? Int J Pediatr Obes. 2010;5(6):458-60.
Romo-García L. Asociación de la actividad física y distribución energética de la dieta con la adiposidad de niños de 5 a 9 años de edad. Tesis de grado. Maestría en Nutrición Humana, Orientación Materno- Infantil. Guadalajara, Jalisco, México: Universidad de Guadalajara; Febrero de 2006.
Santoyo C, Angera A. El hacinamiento como contexto: estrategias metodológicas para su análisis. Psicothema 1992;4(2):551-69.
Lentini M, Palero D. El hacinamiento: la dimensión no visible del déficit habitacional. INVI. 1997;12(31):23-32.
Jadue G. Factores ambientales que afectan el rendimiento escolar de los niños provenientes de familias de bajo nivel socioeconómico y cultural. Estud Pedagog. 1997;23:75-80.
Cadavid C, Zapata Z, Aguirre A, Alvarez U. Coeficiente intelectual de niños escolarizados en instituciones públicas de las zonas nororiental y noroccidental de Medellín según el nivel de seguridad alimentaria del hogar y condiciones socioeconómicas. Rev Chil Nutr. 2011;38(4):392-403.
Cooper AR. Physical activity levels of children who walk, cycle or are driven to school. Am J Prev Med. 2005;29(3):179-84.
Van-Sluijs EM, Fearne VA, Mattocks C, Riddoch C, Griffin SJ. The contribution of active travel to children’s physical activity levels: cross-sectional results from the ALSPAC study. Prev Med. 2009;48 (6):519-24.
Larrouche R, Lloyd M, Knight E, Tremblay M. Relationship between active school transport and body mass index in grades 4-to-6 children. Pediatr Excer Sci. 2011;23(3):322-30.
Owen C, Nightingale C, Rudnicka A, Van Sluijs, Ekelund U, Cook D, et al. Travel to school and physical activity levels in 9–10 year-old of children of different ethnic origin; child heart and health study in England (CHASE). PLoS One. 2012;7(2):1-8.
Veitch J, Salmon J, Ball K. Individual, social and physical environmental correlates of children’s active free-play: a cross-sectional study. Int J Behav Nutr Phys Act. 2010;7:1-11.
Gottlieb N, Chen M. Sociocultural correlates of childhood sporting activities: their implications for heart health. Soc Sci Med. 1985;21(5):533-9.
Instituto Nacional de Salud Pública. Encuesta Nacional de Salud y Nutrición 2012. Resultados por entidad federativa, Jalisco. Cuernavaca, México: Instituto Nacional de Salud Pública; 2013.