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Association between urbanicity and physical activity in Mexican adolescents: The use of a composite urbanicity measure

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  • Maria E Hermosillo-Gallardo
  • Russell Jago
  • Simon J Sebire

Abstract

Purpose: In Mexico, 39.5% of adolescents do not meet the World Health Organisation’s physical activity guidelines. Urbanicity is a potential correlate of physical activity. The aim of this study was to examine the associations between different aspects of urbanicity and adolescents’ physical activity. Methods: Participants were 4,079 Mexican adolescents aged 15–18 from Mexico City and Oaxaca, Mexico. Data was collected between February and June 2016. Multiple imputation of missing data was implemented after confirming values were missing at random. Multivariable regression models examined associations between five domains of self-reported physical activity: 1) moderate-to-vigorous physical activity, 2) sports activities, 3) leisure time activities, 4) Physical Education class at school, 5) active commuting to school; and a composite measure of urbanicity and its seven sub-scores: 1) demographic, 2) economic activity, 3) built environment, 4) communication, 5) education, 6) diversity and 7) health services. Multivariable regression models were adjusted for parents’ education and participants’ age. Results: Urbanicity was positively associated with activity spent in Physical Education class. The association between urbanicity and sport activities depended on state context. Communication-based urbanicity was negatively associated with leisure physical activity and active commuting. Population density was positively associated with active commuting. Conclusion: Urbanicity is associated with adolescents’ physical activity in Mexico. Findings were largely consistent between Mexico City and Oaxaca and highlight the value of examining urbanicity as a multidimensional construct.

Suggested Citation

  • Maria E Hermosillo-Gallardo & Russell Jago & Simon J Sebire, 2018. "Association between urbanicity and physical activity in Mexican adolescents: The use of a composite urbanicity measure," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0204739
    DOI: 10.1371/journal.pone.0204739
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    References listed on IDEAS

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    1. Dahly, Darren L. & Adair, Linda S., 2007. "Quantifying the urban environment: A scale measure of urbanicity outperforms the urban-rural dichotomy," Social Science & Medicine, Elsevier, vol. 64(7), pages 1407-1419, April.
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    3. Stella R. Harden & Nadine Schuurman & Peter Keller & Scott A. Lear, 2022. "Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
    4. Zihan Tong & Zhenxing Kong & Xiao Jia & Hanyue Zhang & Yimin Zhang, 2022. "Multiscale Impact of Environmental and Socio-Economic Factors on Low Physical Fitness among Chinese Adolescents and Regionalized Coping Strategies," IJERPH, MDPI, vol. 19(20), pages 1-24, October.
    5. Sarah Elshahat & Michael O’Rorke & Deepti Adlakha, 2020. "Built environment correlates of physical activity in low- and middle-income countries: A systematic review," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-19, March.
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    7. Tiejun Zhang & Huarong Liu & Yi Lu & Qinglei Wang, 2023. "The Nexus of Sports-Based Development and Education of Mental Health and Physical Fitness," IJERPH, MDPI, vol. 20(4), pages 1-13, February.

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