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Determinants of the Physical Activity in Mexico Raymundo Cruz Rodríguez Guajardo

Determinants of the Physical Activity in Mexico Raymundo Cruz Rodríguez Guajardo José de Jesús Salazar Cantú Ariel Alfonso Cruz Ramos ( Economics Department , Tecnológico de Monterrey). Background and Objective

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Determinants of the Physical Activity in Mexico Raymundo Cruz Rodríguez Guajardo

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  1. Determinants of thePhysicalActivity in Mexico Raymundo Cruz Rodríguez Guajardo José de Jesús Salazar Cantú Ariel Alfonso Cruz Ramos (EconomicsDepartment, Tecnológico de Monterrey)

  2. Background and Objective AccordingtotheOrganisationforEconomic Co-operation and Development (2010), Mexico has theworldnumberone position in obesity and overweight. ThePhysical Culture and Sport (Excercise) NationalProgram 2008 establishtheobjective, fortheperiod of 2008-2012, of movingfrom 6 to 35 millions of peoplephysically active. Theobjective of thisstudyisthedetection and dimensioning of thefactorsthatinterferorimpactonthe time asignedbypersonsresident in Mexicofortheirphysicalactivity.

  3. Theoreticalframework Whenstudyingtheassignationeachperson decides forhis individual time, Becker (1965) divides it in twogroups: thehoursdedicatedforincome-earning and thehoursforleisure. Cawley (2004) proposesanextension of the Becker model and therefore divides theassignation of individual time in fiveconcepts: S : Sleeping; L: Leisure; O: Work; T: Transportation; y H: Home Althoughtheassignation of time for a concept is rival totheother, the personal profilealsoinfluencethisassignationpattern. Humphreys and Ruseski (2010, 2009 and 2007), bytakingthis in consideration, complementthe SLOTH model. Thefollowingstudyadoptsthisapproach.

  4. Review of theliterature Thestudy of theassignation of time forphysicalactivity comes fromthreemainfields: Medicine, sport and economics. The medical studieshavemadeclearthehealthissues (mental and physical) associatedwithsedentarylifestyle. At thesame time, theyhaveprovideuswithclearguidelinesabouttherecommendedamount of physicalactivity, accordingtothedifferentstages of life. In thesportarea, groups (children, youth and adults) problematics, thetype of sport and theinfrastructure use forit are address and are oftendescriptivestudies. AccordingtoKwame (2009) only 2% of thepublishedworks in thisfieldcorrespondtotheeconomicaspect, basediniciallyonthestudy of thedemand and reciently, onapplications of the SLOTH model.

  5. Themodelto be estimated Followingthespecificationsprovidedby Brown and Roberts (2010); Saldaña, Rodríguez and Salazar (2003), themodelbelow (consideredfortheeconometricestimation) contemplates variables of the SLOTH approach as well as social profiles. (AF, AFH)i = α + β1GÉNEROi+ β2EDADi+ β3EDAD2i+ β4HLSEMi + β5INGRESOi + β6ESTCIVi+ β7EDUi + β8LOCi + β9TRANSPi + εi Where: The variables appear in table 1 of the complete investigation. i = 1, 2…n isthenumber of individuals in thesurvey. ε = termforspecification of error.

  6. Results a. Dependent AFH b. Dependent AF c. Calculated in the samplemeans *** Stadisticallysignificantforthe 1%. Note: Standard mistakesbracketed

  7. Interpretation Evaluating in theeducation mean, mendemonstrated a 17.3% higherprobability of performingphysicaleducation and anaverage of 1.05h more of physicalactivity per week. • Grafic 1. Probability of women (PRWEDU) and men (PRMEDU) performingphysicalactivity,accordingtotheeducationyears. • Source: Createdbytheauthors, base onthe • Probitmodelcoeficients.

  8. Interpretation Regardingage, everypassingyearmeans a loss of physicalactivity and a 0.4% lowerprobability of performinganyphysicalactivity. Theagesquaredallowsustocontemplate a threshold of 65 years, wheretherelationshipstopsbeingnegative • Grafic 2. Probability of women (PRMEDAD) and men (PRHEDAD) performingphysicalactivity, accordingtoage. • Source: Createdbytheauthors, base onthe • Probitmodelcoeficients.

  9. Interpretation Working at least 40 hours per week would lower the probability of practicing any physical activity by 6% and a percentage of 30 minutes less of thisactivity, in comparisonwithnotworking. Also, byincreasingthemonthlywagetheprobability of physicalactivitygrows 1.2 minutes per weekand theprobability of physicalactivationby 0.0044% Grafic 3. Probability of women(PRMINGRESO) and men(PRHINGRESO) performingphysicalactivity, accordingtothemonthlyincome Source: Createdbytheauthors, base onthe Probitmodelcoeficients

  10. Summary

  11. PolicyImplications Theefforttoincreasethephysicalactivity in Mexicomustprioritize theattention of peopleaccordingtothenextorder: Femalegender Workers Marriedor in consensual union Residents of the rural area Lowlevel of scholarization Children, youth and adults , beforeelderhood Long periodsbetweentransportation- household - work - household Higherincomes + -

  12. THANK YOU VERY MUCH Raymundo Rodríguez José Salazar Ariel Ramos (EconomicsDepartment, Tecnológico de Monterrey)

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