Active commuting to and from university, obesity and metabolic syndrome among Colombian university students

A. García-Hermoso, A.P. Quintero, E. Hernández, J.E. Correa-Bautista, M. Izquierdo, A. Tordecilla-Sanders, D. Prieto-Benavides, C. Sandoval-Cuellar, K. González-Ruíz, E. Villa-González, R. Ramírez-Vélez

Research output: Contribution to journalArticle

Abstract

Background: There is limited evidence concerning how active commuting (AC) is associated with health benefits in young. The aim of the study was to analyze the relationship between AC to and from campus (walking) and obesity and metabolic syndrome (MetS) in a sample of Colombian university students. Methods: A total of 784 university students (78.6% women, mean age = 20.1 ± 2.6 years old) participated in the study. The exposure variable was categorized into AC (active walker to campus) and non-AC (non/infrequent active walker to campus: car, motorcycle, or bus) to and from the university on a typical day. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation criteria. Results: The overall prevalence of MetS was 8.7%, and it was higher in non-AC than AC to campus. The percentage of AC was 65.3%. The commuting distances in this AC from/to university were 83.1%, 13.4% and 3.5% for <2 km, 2-5 km and > 5 km, respectively. Multiple logistic regressions for predicting unhealthy profile showed that male walking commuters had a lower probability of having obesity [OR = 0.45 (CI 95% 0.25-0.93)], high blood pressure [OR = 0.26 (CI 95% 0.13-0.55)] and low HDL cholesterol [OR = 0.29 (CI 95% 0.14-0.59)] than did passive commuters. Conclusions: Our results suggest that in young adulthood, a key life-stage for the development of obesity and MetS, AC could be associated with and increasing of daily physical activity levels, thereby promoting better cardiometabolic health. © 2018 The Author(s).
LanguageEnglish
JournalBMC Public Health
Volume18
Issue number1
DOIs
Publication statusPublished - 2018

Fingerprint

Obesity
Students
Walking
Motorcycles
Motor Vehicles
Insurance Benefits
HDL Cholesterol
Logistic Models
Exercise
Hypertension
Health

Keywords

  • Active transport
  • Cardiometabolic risk
  • Physical activity
  • Young adults

Cite this

García-Hermoso, A., Quintero, A. P., Hernández, E., Correa-Bautista, J. E., Izquierdo, M., Tordecilla-Sanders, A., ... Ramírez-Vélez, R. (2018). Active commuting to and from university, obesity and metabolic syndrome among Colombian university students. BMC Public Health, 18(1). https://doi.org/10.1186/s12889-018-5450-5

Active commuting to and from university, obesity and metabolic syndrome among Colombian university students. / García-Hermoso, A.; Quintero, A.P.; Hernández, E.; Correa-Bautista, J.E.; Izquierdo, M.; Tordecilla-Sanders, A.; Prieto-Benavides, D.; Sandoval-Cuellar, C.; González-Ruíz, K.; Villa-González, E.; Ramírez-Vélez, R.

In: BMC Public Health, Vol. 18, No. 1, 2018.

Research output: Contribution to journalArticle

García-Hermoso, A, Quintero, AP, Hernández, E, Correa-Bautista, JE, Izquierdo, M, Tordecilla-Sanders, A, Prieto-Benavides, D, Sandoval-Cuellar, C, González-Ruíz, K, Villa-González, E & Ramírez-Vélez, R 2018, 'Active commuting to and from university, obesity and metabolic syndrome among Colombian university students' BMC Public Health, vol. 18, no. 1. https://doi.org/10.1186/s12889-018-5450-5
García-Hermoso, A. ; Quintero, A.P. ; Hernández, E. ; Correa-Bautista, J.E. ; Izquierdo, M. ; Tordecilla-Sanders, A. ; Prieto-Benavides, D. ; Sandoval-Cuellar, C. ; González-Ruíz, K. ; Villa-González, E. ; Ramírez-Vélez, R. / Active commuting to and from university, obesity and metabolic syndrome among Colombian university students. In: BMC Public Health. 2018 ; Vol. 18, No. 1.
@article{a789f196db084b6a8a313ea69859e24f,
title = "Active commuting to and from university, obesity and metabolic syndrome among Colombian university students",
abstract = "Background: There is limited evidence concerning how active commuting (AC) is associated with health benefits in young. The aim of the study was to analyze the relationship between AC to and from campus (walking) and obesity and metabolic syndrome (MetS) in a sample of Colombian university students. Methods: A total of 784 university students (78.6{\%} women, mean age = 20.1 ± 2.6 years old) participated in the study. The exposure variable was categorized into AC (active walker to campus) and non-AC (non/infrequent active walker to campus: car, motorcycle, or bus) to and from the university on a typical day. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation criteria. Results: The overall prevalence of MetS was 8.7{\%}, and it was higher in non-AC than AC to campus. The percentage of AC was 65.3{\%}. The commuting distances in this AC from/to university were 83.1{\%}, 13.4{\%} and 3.5{\%} for <2 km, 2-5 km and > 5 km, respectively. Multiple logistic regressions for predicting unhealthy profile showed that male walking commuters had a lower probability of having obesity [OR = 0.45 (CI 95{\%} 0.25-0.93)], high blood pressure [OR = 0.26 (CI 95{\%} 0.13-0.55)] and low HDL cholesterol [OR = 0.29 (CI 95{\%} 0.14-0.59)] than did passive commuters. Conclusions: Our results suggest that in young adulthood, a key life-stage for the development of obesity and MetS, AC could be associated with and increasing of daily physical activity levels, thereby promoting better cardiometabolic health. {\circledC} 2018 The Author(s).",
keywords = "Active transport, Cardiometabolic risk, Physical activity, Young adults",
author = "A. Garc{\'i}a-Hermoso and A.P. Quintero and E. Hern{\'a}ndez and J.E. Correa-Bautista and M. Izquierdo and A. Tordecilla-Sanders and D. Prieto-Benavides and C. Sandoval-Cuellar and K. Gonz{\'a}lez-Ru{\'i}z and E. Villa-Gonz{\'a}lez and R. Ram{\'i}rez-V{\'e}lez",
note = "Export Date: 23 May 2018 Correspondence Address: Ram{\'i}rez-V{\'e}lez, R.; Centro de Estudios Para la Medici{\'o}n de la Actividad F{\'i}sica, CEMA, Escuela de Medicina y Ciencias de la Salud, Universidad Del RosarioColombia; email: robin640@hotmail.com Funding details: RECT 60 Funding details: DN-BG001 Funding text: This study was part of the project entitled “Body Adiposity Index and Biomarkers of Endothelial and Cardiovascular Health in Adults”, which was funded by Centre for Studies on Measurement of Physical Activity, School of Medicine and Health Sciences, Universidad del Rosario (Code N° FIUR DN-BG001) and Universidad de Boyac{\'a} (Code N° RECT 60). The funder had no role in the study design, data collection, data analysis and interpretation, preparation of the manuscript, or decision to publish. References: Zimmet, P., Magliano, D., Matsuzawa, Y., Alberti, G., Shaw, J., The metabolic syndrome: A global public health problem and a new definition (2005) J Atheroscler Thromb, 12 (6), pp. 295-300. , 1:CAS:528:DC{\%}2BD28XnvVyrsL8{\%}3D 16394610; Spalding, A., Kernan, J., Lockette, W., The metabolic syndrome: A modern plague spread by modern technology (2009) J Clin Hypertens, 11 (12), pp. 755-760; Haskell, W.L., Lee, I.-M., Pate, R.R., Powell, K.E., Blair, S.N., Franklin, B.A., Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association (2007) Circulation, 116 (9), p. 1081. , 17671237; Booth, F.W., Roberts, C.K., Thyfault, J.P., Ruegsegger, G.N., Toedebusch, R.G., Role of inactivity in chronic diseases. Evolutionary insight and pathophysiological mechanisms (2017) Physiol Rev, 97 (4), pp. 1351-1402. , 28814614; (2015) Encuesta Nacional de la Situaci{\'o}n Nutricional en Colombia ENSIN, , https://www.minsalud.gov.co/salud/publica/epidemiologia/Paginas/encuesta-nacional-de-situacion-nutricional-ensin.aspx, Encuesta Nacional de Situaci{\'o}n Nutricional Accessed 15 Mar 2018; Molina-Garc{\'i}a, J., Queralt, A., Castillo, I., Sallis, J.F., Changes in physical activity domains during the transition out of high school: Psychosocial and environmental correlates (2015) J Phys Act Health, 12 (10), pp. 1414-1420. , 25599110; Clemente, F.M., Nikolaidis, P.T., Martins, F.M.L., Mendes, R.S., Physical activity patterns in university students: Do they follow the public health guidelines? (2016) PLoS One, 11 (3), p. e0152516. , 27022993 4811432; Flint, E., Cummins, S., Sacker, A., Associations between active commuting, body fat, and body mass index: Population based, cross sectional study in the United Kingdom (2014) BMJ, 349, p. g4887. , 25139861 4138353; Guti{\'e}rrez-Zornoza, M., S{\'a}nchez-L{\'o}pez, M., Garc{\'i}a-Hermoso, A., Gonz{\'a}lez-Garc{\'i}a, A., Chill{\'o}n, P., Mart{\'i}nez-Vizca{\'i}no, V., Active commuting to school, weight status, and cardiometabolic risk in children from rural areas: The Cuenca study (2015) Health Educ Behav, 42 (2), pp. 231-239. , 25228370; Ram{\'i}rez-V{\'e}lez, R., Garc{\'i}a-Hermoso, A., Agostinis-Sobrinho, C., Mota, J., Santos, R., Correa-Bautista, J.E., Cycling to school and body composition, physical fitness, and metabolic syndrome in children and adolescents (2017) J Pediatr, 188, pp. 57-63. , 28651798; Celis-Morales, C.A., Lyall, D.M., Welsh, P., Anderson, J., Steell, L., Guo, Y., Association between active commuting and incident cardiovascular disease, cancer, and mortality: Prospective cohort study (2017) BMJ, 357, p. j1456. , 28424154; Bopp, M., Behrens, T.K., Velecina, R., Associations of weight status, social factors, and active travel among college students (2014) Am J Health Educ, 45 (6), pp. 358-367; Bopp, M., Bopp, C., Schuchert, M., Active transportation to and on campus is associated with objectively measured fitness outcomes among college students (2015) J Phys Act Health, 12 (3), pp. 418-423. , 24763207; Gordon-Larsen, P., Boone-Heinonen, J., Sidney, S., Sternfeld, B., Jacobs, D.R., Lewis, C.E., Active commuting and cardiovascular disease risk: The CARDIA study (2009) Arch Intern Med, 169 (13), pp. 1216-1223. , 19597071 2736383; Ram{\'i}rez-V{\'e}lez, R., Correa-Bautista, J.E., Sanders-Tordecilla, A., Ojeda-Pardo, M.L., Cobo-Mej{\'i}a, E.A., Castellanos-Vega, R.P., Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students (2017) Nutrients, 9 (9), p. 1009. , 5622769; Marfell-Jones, M.J., Stewart, A., De Ridder, J., (2012) International Standards for Anthropometric Assessment; Rodr{\'i}guez-Rodr{\'i}guez, F., Cristi-Montero, C., Gonz{\'a}lez-Ru{\'i}z, K., Correa-Bautista, J.E., Ram{\'i}rez-V{\'e}lez, R., Bioelectrical impedance vector analysis and muscular fitness in healthy men (2016) Nutrients, 8 (7), p. 407. , 4963883; Mancia, G., Fagard, R., Narkiewicz, K., Red{\'a}n, J., Zanchetti, A., B{\"o}hm, M., 2013 practice guidelines for the management of arterial hypertension of the European Society of Hypertension (ESH) and the European Society of Cardiology (ESC): ESH/ESC task force for the Management of Arterial Hypertension (2013) J Hypertens, 31 (10), pp. 1925-1938. , 1:CAS:528:DC{\%}2BC3sXhs1Sisb7P; Friedewald, W.T., Levy, R.I., Fredrickson, D.S., Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge (1972) Clin Chem, 18 (6), pp. 499-502. , 1:CAS:528:DyaE38Xkslagsbw{\%}3D 4337382; Alberti, K., Eckel, R., Grundy, S., Zimmet, P., Cleeman, J., Donato, K., Harmonizing the metabolic syndrome. A joint interim statement of the IDF task force on epidemiology and prevention; NHL and Blood Institute; AHA; WHF; IAS; and IA for the study of obesity (2009) Circulation, 120 (16), pp. 1640-1645. , 1:CAS:528:DC{\%}2BD1MXht1OrtrrK 19805654; Chill{\'o}n, P., Herrador-Colmenero, M., Migueles, J.H., Cabanas-S{\'a}nchez, V., Fern{\'a}ndez-Santos, J.R., Veiga, {\'O}., Convergent validation of a questionnaire to assess the mode and frequency of commuting to and from school (2017) Scand J Public Health, 45 (6), pp. 612-620; Herrador-Colmenero, M., P{\'e}rez-Garc{\'i}a, M., Ruiz, J.R., Chill{\'o}n, P., Assessing modes and frequency of commuting to school in youngsters: A systematic review (2014) Pediatr Exerc Sci, 26 (3), pp. 291-341. , 24722834; Molina-Garc{\'i}a, J., Sallis, J.F., Castillo, I., Active commuting and sociodemographic factors among university students in Spain (2014) J Phys Act Health, 11 (2), pp. 359-363. , 23359296; Ram{\'i}rez-V{\'e}lez, R., Agredo, R.A., The Fantastic instrument's validity and reliability for measuring Colombian adults' life-style (2012) Rev Salud Publica, 14 (2), pp. 226-237. , 23250366; Thanopoulou, A., Karamanos, B., Angelico, F., Assaad-Khalil, S., Djordjevic, P., Katsilambros, N., Epidemiological evidence for the non-random clustering of the components of the metabolic syndrome: Multicentre study of the Mediterranean Group for the study of diabetes (2006) Eur J Clin Nutr, 60 (12), pp. 1376-1383. , 1:STN:280:DC{\%}2BD28jgvVWhtg{\%}3D{\%}3D 16823407; Hu, G., Pekkarinen, H., H{\"a}nninen, O., Yu, Z., Guo, Z., Tian, H., Commuting, leisure-time physical activity, and cardiovascular risk factors in China (2002) Med Sci Sports Exerc, 34 (2), pp. 234-238. , 11828231; Lindstr{\"o}m, M., Means of transportation to work and overweight and obesity: A population-based study in southern Sweden (2008) Prev Med, 46 (1), pp. 22-28. , 17706273; Flint, E., Cummins, S., Active commuting and obesity in mid-life: Cross-sectional, observational evidence from UK Biobank (2016) Lancet Diabetes Endocrinol, 4 (5), pp. 420-435. , 26995106; Zhang, D., Liu, X., Liu, Y., Sun, X., Wang, B., Ren, Y., Leisure-time physical activity and incident metabolic syndrome: A systematic review and dose-response meta-analysis of cohort studies (2017) Metabolism, 75, pp. 36-44. , 1:CAS:528:DC{\%}2BC2sXhsFemsr{\%}2FP 28927737; Hamer, M., Chida, Y., Active commuting and cardiovascular risk: A meta-analytic review (2008) Prev Med, 46 (1), pp. 9-13. , 17475317; Steell, L.G., Active commuting is associated with a lower risk of obesity, diabetes and metabolic syndrome in Chilean adults (2017) J Public Health, pp. 1-9; Hu, G., Pekkarinen, H., H{\"a}nninen, O., Tian, H., Guo, Z., Relation between commuting, leisure time physical activity and serum lipids in a Chinese urban population (2001) Ann Hum Biol, 28 (4), pp. 412-421. , 1:STN:280:DC{\%}2BD38{\%}2Fit1WqtQ{\%}3D{\%}3D 11459239",
year = "2018",
doi = "10.1186/s12889-018-5450-5",
language = "English",
volume = "18",
journal = "BMC Public Health",
issn = "1471-2458",
publisher = "BioMed Central Ltd.",
number = "1",

}

TY - JOUR

T1 - Active commuting to and from university, obesity and metabolic syndrome among Colombian university students

AU - García-Hermoso, A.

AU - Quintero, A.P.

AU - Hernández, E.

AU - Correa-Bautista, J.E.

AU - Izquierdo, M.

AU - Tordecilla-Sanders, A.

AU - Prieto-Benavides, D.

AU - Sandoval-Cuellar, C.

AU - González-Ruíz, K.

AU - Villa-González, E.

AU - Ramírez-Vélez, R.

N1 - Export Date: 23 May 2018 Correspondence Address: Ramírez-Vélez, R.; Centro de Estudios Para la Medición de la Actividad Física, CEMA, Escuela de Medicina y Ciencias de la Salud, Universidad Del RosarioColombia; email: robin640@hotmail.com Funding details: RECT 60 Funding details: DN-BG001 Funding text: This study was part of the project entitled “Body Adiposity Index and Biomarkers of Endothelial and Cardiovascular Health in Adults”, which was funded by Centre for Studies on Measurement of Physical Activity, School of Medicine and Health Sciences, Universidad del Rosario (Code N° FIUR DN-BG001) and Universidad de Boyacá (Code N° RECT 60). The funder had no role in the study design, data collection, data analysis and interpretation, preparation of the manuscript, or decision to publish. References: Zimmet, P., Magliano, D., Matsuzawa, Y., Alberti, G., Shaw, J., The metabolic syndrome: A global public health problem and a new definition (2005) J Atheroscler Thromb, 12 (6), pp. 295-300. , 1:CAS:528:DC%2BD28XnvVyrsL8%3D 16394610; Spalding, A., Kernan, J., Lockette, W., The metabolic syndrome: A modern plague spread by modern technology (2009) J Clin Hypertens, 11 (12), pp. 755-760; Haskell, W.L., Lee, I.-M., Pate, R.R., Powell, K.E., Blair, S.N., Franklin, B.A., Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association (2007) Circulation, 116 (9), p. 1081. , 17671237; Booth, F.W., Roberts, C.K., Thyfault, J.P., Ruegsegger, G.N., Toedebusch, R.G., Role of inactivity in chronic diseases. Evolutionary insight and pathophysiological mechanisms (2017) Physiol Rev, 97 (4), pp. 1351-1402. , 28814614; (2015) Encuesta Nacional de la Situación Nutricional en Colombia ENSIN, , https://www.minsalud.gov.co/salud/publica/epidemiologia/Paginas/encuesta-nacional-de-situacion-nutricional-ensin.aspx, Encuesta Nacional de Situación Nutricional Accessed 15 Mar 2018; Molina-García, J., Queralt, A., Castillo, I., Sallis, J.F., Changes in physical activity domains during the transition out of high school: Psychosocial and environmental correlates (2015) J Phys Act Health, 12 (10), pp. 1414-1420. , 25599110; Clemente, F.M., Nikolaidis, P.T., Martins, F.M.L., Mendes, R.S., Physical activity patterns in university students: Do they follow the public health guidelines? (2016) PLoS One, 11 (3), p. e0152516. , 27022993 4811432; Flint, E., Cummins, S., Sacker, A., Associations between active commuting, body fat, and body mass index: Population based, cross sectional study in the United Kingdom (2014) BMJ, 349, p. g4887. , 25139861 4138353; Gutiérrez-Zornoza, M., Sánchez-López, M., García-Hermoso, A., González-García, A., Chillón, P., Martínez-Vizcaíno, V., Active commuting to school, weight status, and cardiometabolic risk in children from rural areas: The Cuenca study (2015) Health Educ Behav, 42 (2), pp. 231-239. , 25228370; Ramírez-Vélez, R., García-Hermoso, A., Agostinis-Sobrinho, C., Mota, J., Santos, R., Correa-Bautista, J.E., Cycling to school and body composition, physical fitness, and metabolic syndrome in children and adolescents (2017) J Pediatr, 188, pp. 57-63. , 28651798; Celis-Morales, C.A., Lyall, D.M., Welsh, P., Anderson, J., Steell, L., Guo, Y., Association between active commuting and incident cardiovascular disease, cancer, and mortality: Prospective cohort study (2017) BMJ, 357, p. j1456. , 28424154; Bopp, M., Behrens, T.K., Velecina, R., Associations of weight status, social factors, and active travel among college students (2014) Am J Health Educ, 45 (6), pp. 358-367; Bopp, M., Bopp, C., Schuchert, M., Active transportation to and on campus is associated with objectively measured fitness outcomes among college students (2015) J Phys Act Health, 12 (3), pp. 418-423. , 24763207; Gordon-Larsen, P., Boone-Heinonen, J., Sidney, S., Sternfeld, B., Jacobs, D.R., Lewis, C.E., Active commuting and cardiovascular disease risk: The CARDIA study (2009) Arch Intern Med, 169 (13), pp. 1216-1223. , 19597071 2736383; Ramírez-Vélez, R., Correa-Bautista, J.E., Sanders-Tordecilla, A., Ojeda-Pardo, M.L., Cobo-Mejía, E.A., Castellanos-Vega, R.P., Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students (2017) Nutrients, 9 (9), p. 1009. , 5622769; Marfell-Jones, M.J., Stewart, A., De Ridder, J., (2012) International Standards for Anthropometric Assessment; Rodríguez-Rodríguez, F., Cristi-Montero, C., González-Ruíz, K., Correa-Bautista, J.E., Ramírez-Vélez, R., Bioelectrical impedance vector analysis and muscular fitness in healthy men (2016) Nutrients, 8 (7), p. 407. , 4963883; Mancia, G., Fagard, R., Narkiewicz, K., Redán, J., Zanchetti, A., Böhm, M., 2013 practice guidelines for the management of arterial hypertension of the European Society of Hypertension (ESH) and the European Society of Cardiology (ESC): ESH/ESC task force for the Management of Arterial Hypertension (2013) J Hypertens, 31 (10), pp. 1925-1938. , 1:CAS:528:DC%2BC3sXhs1Sisb7P; Friedewald, W.T., Levy, R.I., Fredrickson, D.S., Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge (1972) Clin Chem, 18 (6), pp. 499-502. , 1:CAS:528:DyaE38Xkslagsbw%3D 4337382; Alberti, K., Eckel, R., Grundy, S., Zimmet, P., Cleeman, J., Donato, K., Harmonizing the metabolic syndrome. A joint interim statement of the IDF task force on epidemiology and prevention; NHL and Blood Institute; AHA; WHF; IAS; and IA for the study of obesity (2009) Circulation, 120 (16), pp. 1640-1645. , 1:CAS:528:DC%2BD1MXht1OrtrrK 19805654; Chillón, P., Herrador-Colmenero, M., Migueles, J.H., Cabanas-Sánchez, V., Fernández-Santos, J.R., Veiga, Ó., Convergent validation of a questionnaire to assess the mode and frequency of commuting to and from school (2017) Scand J Public Health, 45 (6), pp. 612-620; Herrador-Colmenero, M., Pérez-García, M., Ruiz, J.R., Chillón, P., Assessing modes and frequency of commuting to school in youngsters: A systematic review (2014) Pediatr Exerc Sci, 26 (3), pp. 291-341. , 24722834; Molina-García, J., Sallis, J.F., Castillo, I., Active commuting and sociodemographic factors among university students in Spain (2014) J Phys Act Health, 11 (2), pp. 359-363. , 23359296; Ramírez-Vélez, R., Agredo, R.A., The Fantastic instrument's validity and reliability for measuring Colombian adults' life-style (2012) Rev Salud Publica, 14 (2), pp. 226-237. , 23250366; Thanopoulou, A., Karamanos, B., Angelico, F., Assaad-Khalil, S., Djordjevic, P., Katsilambros, N., Epidemiological evidence for the non-random clustering of the components of the metabolic syndrome: Multicentre study of the Mediterranean Group for the study of diabetes (2006) Eur J Clin Nutr, 60 (12), pp. 1376-1383. , 1:STN:280:DC%2BD28jgvVWhtg%3D%3D 16823407; Hu, G., Pekkarinen, H., Hänninen, O., Yu, Z., Guo, Z., Tian, H., Commuting, leisure-time physical activity, and cardiovascular risk factors in China (2002) Med Sci Sports Exerc, 34 (2), pp. 234-238. , 11828231; Lindström, M., Means of transportation to work and overweight and obesity: A population-based study in southern Sweden (2008) Prev Med, 46 (1), pp. 22-28. , 17706273; Flint, E., Cummins, S., Active commuting and obesity in mid-life: Cross-sectional, observational evidence from UK Biobank (2016) Lancet Diabetes Endocrinol, 4 (5), pp. 420-435. , 26995106; Zhang, D., Liu, X., Liu, Y., Sun, X., Wang, B., Ren, Y., Leisure-time physical activity and incident metabolic syndrome: A systematic review and dose-response meta-analysis of cohort studies (2017) Metabolism, 75, pp. 36-44. , 1:CAS:528:DC%2BC2sXhsFemsr%2FP 28927737; Hamer, M., Chida, Y., Active commuting and cardiovascular risk: A meta-analytic review (2008) Prev Med, 46 (1), pp. 9-13. , 17475317; Steell, L.G., Active commuting is associated with a lower risk of obesity, diabetes and metabolic syndrome in Chilean adults (2017) J Public Health, pp. 1-9; Hu, G., Pekkarinen, H., Hänninen, O., Tian, H., Guo, Z., Relation between commuting, leisure time physical activity and serum lipids in a Chinese urban population (2001) Ann Hum Biol, 28 (4), pp. 412-421. , 1:STN:280:DC%2BD38%2Fit1WqtQ%3D%3D 11459239

PY - 2018

Y1 - 2018

N2 - Background: There is limited evidence concerning how active commuting (AC) is associated with health benefits in young. The aim of the study was to analyze the relationship between AC to and from campus (walking) and obesity and metabolic syndrome (MetS) in a sample of Colombian university students. Methods: A total of 784 university students (78.6% women, mean age = 20.1 ± 2.6 years old) participated in the study. The exposure variable was categorized into AC (active walker to campus) and non-AC (non/infrequent active walker to campus: car, motorcycle, or bus) to and from the university on a typical day. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation criteria. Results: The overall prevalence of MetS was 8.7%, and it was higher in non-AC than AC to campus. The percentage of AC was 65.3%. The commuting distances in this AC from/to university were 83.1%, 13.4% and 3.5% for <2 km, 2-5 km and > 5 km, respectively. Multiple logistic regressions for predicting unhealthy profile showed that male walking commuters had a lower probability of having obesity [OR = 0.45 (CI 95% 0.25-0.93)], high blood pressure [OR = 0.26 (CI 95% 0.13-0.55)] and low HDL cholesterol [OR = 0.29 (CI 95% 0.14-0.59)] than did passive commuters. Conclusions: Our results suggest that in young adulthood, a key life-stage for the development of obesity and MetS, AC could be associated with and increasing of daily physical activity levels, thereby promoting better cardiometabolic health. © 2018 The Author(s).

AB - Background: There is limited evidence concerning how active commuting (AC) is associated with health benefits in young. The aim of the study was to analyze the relationship between AC to and from campus (walking) and obesity and metabolic syndrome (MetS) in a sample of Colombian university students. Methods: A total of 784 university students (78.6% women, mean age = 20.1 ± 2.6 years old) participated in the study. The exposure variable was categorized into AC (active walker to campus) and non-AC (non/infrequent active walker to campus: car, motorcycle, or bus) to and from the university on a typical day. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation criteria. Results: The overall prevalence of MetS was 8.7%, and it was higher in non-AC than AC to campus. The percentage of AC was 65.3%. The commuting distances in this AC from/to university were 83.1%, 13.4% and 3.5% for <2 km, 2-5 km and > 5 km, respectively. Multiple logistic regressions for predicting unhealthy profile showed that male walking commuters had a lower probability of having obesity [OR = 0.45 (CI 95% 0.25-0.93)], high blood pressure [OR = 0.26 (CI 95% 0.13-0.55)] and low HDL cholesterol [OR = 0.29 (CI 95% 0.14-0.59)] than did passive commuters. Conclusions: Our results suggest that in young adulthood, a key life-stage for the development of obesity and MetS, AC could be associated with and increasing of daily physical activity levels, thereby promoting better cardiometabolic health. © 2018 The Author(s).

KW - Active transport

KW - Cardiometabolic risk

KW - Physical activity

KW - Young adults

U2 - 10.1186/s12889-018-5450-5

DO - 10.1186/s12889-018-5450-5

M3 - Article

VL - 18

JO - BMC Public Health

T2 - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

IS - 1

ER -