IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v70y2010i12p2011-2018.html
   My bibliography  Save this article

Individual, social and environmental correlates of physical activity among women living in socioeconomically disadvantaged neighbourhoods

Author

Listed:
  • Cleland, Verity
  • Ball, Kylie
  • Hume, Clare
  • Timperio, Anna
  • King, Abby C.
  • Crawford, David

Abstract

Women living in socioeconomically disadvantaged neighbourhoods are at heightened risk for physical inactivity, but little is known about the correlates of physical activity among this group. Using a social-ecological framework, this study aimed to determine the individual, social and neighbourhood environmental correlates of physical activity amongst women living in such neighbourhoods. During 2007-2008 women (n = 4108) aged 18-45 years randomly selected from urban and rural neighbourhoods of low socioeconomic status in Victoria, Australia completed the International Physical Activity Questionnaire (long). They reported on individual (self-efficacy, enjoyment, intentions, outcome expectancies, skills), social (childcare, social support from family and friends/colleagues, dog ownership) and neighbourhood environmental (neighbourhood cohesion, aesthetics, personal safety, 'walking environment') factors. Multinomial logistic regression was used to examine the odds of increasing categories of leisure time physical activity (LTPA) and transport-related physical activity (TRPA) for each individual, social and environmental factor. In partially adjusted analyses, all individual, social and environmental variables were positively associated with LTPA, while all individual factors, family and friend support and the walking environment were positively associated with TRPA. In fully adjusted multivariable models, all individual and social factors remained significantly associated with LTPA, while self-efficacy, enjoyment, intentions, social support, and neighbourhood 'walking environment' variables remained significantly associated with TRPA. In conclusion, individual and social factors were most important for LTPA, while individual, social and neighbourhood environmental factors were all associated with TRPA. Acknowledging the cross-sectional design, the findings highlight the importance of different levels of potential influence on physical activity in different domains, which should be considered when developing strategies to promote physical activity amongst women living in socioeconomically disadvantaged neighbourhoods.

Suggested Citation

  • Cleland, Verity & Ball, Kylie & Hume, Clare & Timperio, Anna & King, Abby C. & Crawford, David, 2010. "Individual, social and environmental correlates of physical activity among women living in socioeconomically disadvantaged neighbourhoods," Social Science & Medicine, Elsevier, vol. 70(12), pages 2011-2018, June.
  • Handle: RePEc:eee:socmed:v:70:y:2010:i:12:p:2011-2018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(10)00191-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    2. Giles-Corti, B. & Donovan, R.J., 2003. "Relative Influences of Individual, Social Environmental, and Physical Environmental Correlates of Walking," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1583-1589.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivory, Vivienne C. & Blakely, Tony & Pearce, Jamie & Witten, Karen & Bagheri, Nasser & Badland, Hannah & Schofield, Grant, 2015. "Could strength of exposure to the residential neighbourhood modify associations between walkability and physical activity?," Social Science & Medicine, Elsevier, vol. 147(C), pages 232-241.
    2. Cleland, Verity & Ball, Kylie & Crawford, David, 2012. "Socioeconomic position and physical activity among women in Melbourne, Australia: Does the use of different socioeconomic indicators matter?," Social Science & Medicine, Elsevier, vol. 74(10), pages 1578-1583.
    3. Rind, Esther & Jones, Andy & Southall, Humphrey, 2014. "How is post-industrial decline associated with the geography of physical activity? Evidence from the Health Survey for England," Social Science & Medicine, Elsevier, vol. 104(C), pages 88-97.
    4. Rowe, Katie & Shilbury, David & Ferkins, Lesley & Hinckson, Erica, 2016. "Challenges for sport development: Women's entry level cycling participation," Sport Management Review, Elsevier, vol. 19(4), pages 417-430.
    5. Arianne C Reis & Komla Lokpo & Matthew Bojanic & Sandro Sperandei, 2020. "In search of a “vocabulary for recreation”: Leisure-time physical activity among humanitarian migrants in regional Australia," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    6. José Antonio Serrano-Sanchez & Angela Lera-Navarro & Cecilia Dorado-García & Juan José González-Henriquez & Joaquin Sanchis-Moysi, 2012. "Contribution of Individual and Environmental Factors to Physical Activity Level among Spanish Adults," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-10, June.
    7. Clark, Andrew F. & Scott, Darren M., 2013. "Does the social environment influence active travel? An investigation of walking in Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 31(C), pages 278-285.
    8. Ladan Golestaneh & Eran Bellin & Joel Neugarten & Yungtai Lo, 2018. "Avoidable visits to the emergency department(ED) and their association with sex, age and race in a cohort of low socio-economic status patients on hemodialysis in the Bronx," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-13, August.
    9. Arlie Adkins & Carrie Makarewicz & Michele Scanze & Maia Ingram & Gretchen Luhr, 2017. "Contextualizing Walkability: Do Relationships Between Built Environments and Walking Vary by Socioeconomic Context?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(3), pages 296-314, July.
    10. Barber, Sharrelle & Hickson, DeMarc A. & Kawachi, Ichiro & Subramanian, S.V. & Earls, Felton, 2016. "Double-jeopardy: The joint impact of neighborhood disadvantage and low social cohesion on cumulative risk of disease among African American men and women in the Jackson Heart Study," Social Science & Medicine, Elsevier, vol. 153(C), pages 107-115.
    11. Li, Shengxiao & Zhao, Pengjun & Zhang, He & Quan, Jing, 2019. "Walking behavior in the old downtown Beijing: The impact of perceptions and attitudes and social variations," Transport Policy, Elsevier, vol. 73(C), pages 1-11.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bentley, Rebecca & Jolley, Damien & Kavanagh, Anne Marie, 2010. "Local environments as determinants of walking in Melbourne, Australia," Social Science & Medicine, Elsevier, vol. 70(11), pages 1806-1815, June.
    2. Feuillet, T. & Commenges, H. & Menai, M. & Salze, P. & Perchoux, C. & Reuillon, R. & Kesse-Guyot, E. & Enaux, C. & Nazare, J.-A. & Hercberg, S. & Simon, C. & Charreire, H. & Oppert, J.M., 2018. "A massive geographically weighted regression model of walking-environment relationships," Journal of Transport Geography, Elsevier, vol. 68(C), pages 118-129.
    3. Giles-Corti, Billie & Bull, Fiona & Knuiman, Matthew & McCormack, Gavin & Van Niel, Kimberly & Timperio, Anna & Christian, Hayley & Foster, Sarah & Divitini, Mark & Middleton, Nick & Boruff, Bryan, 2013. "The influence of urban design on neighbourhood walking following residential relocation: Longitudinal results from the RESIDE study," Social Science & Medicine, Elsevier, vol. 77(C), pages 20-30.
    4. Hamdi Lemamsha & Chris Papadopoulos & Gurch Randhawa, 2018. "Perceived Environmental Factors Associated with Obesity in Libyan Men and Women," IJERPH, MDPI, vol. 15(2), pages 1-16, February.
    5. Bettina Bringolf-Isler & Christian Schindler & Kees Hoogh & Bengt Kayser & L. Suzanne Suggs & Alain Dössegger & Nicole Probst-Hensch, 2019. "Association of objectively measured and perceived environment with accelerometer-based physical activity and cycling: a Swiss population-based cross-sectional study of children," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 499-510, May.
    6. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    7. Francis, Jacinta & Wood, Lisa J. & Knuiman, Matthew & Giles-Corti, Billie, 2012. "Quality or quantity? Exploring the relationship between Public Open Space attributes and mental health in Perth, Western Australia," Social Science & Medicine, Elsevier, vol. 74(10), pages 1570-1577.
    8. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    9. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    10. Emily Talen, 2011. "Sprawl Retrofit: Sustainable Urban Form in Unsustainable Places," Environment and Planning B, , vol. 38(6), pages 952-978, December.
    11. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    12. Jun-Hyun Kim & Chanam Lee & Wonmin Sohn, 2016. "Urban Natural Environments, Obesity, and Health-Related Quality of Life among Hispanic Children Living in Inner-City Neighborhoods," IJERPH, MDPI, vol. 13(1), pages 1-15, January.
    13. Natalia Arias & María Dolores Calvo & José Alberto Benítez-Andrades & María José Álvarez & Beatriz Alonso-Cortés & Carmen Benavides, 2018. "Socioeconomic Status in Adolescents: A Study of Its Relationship with Overweight and Obesity and Influence on Social Network Configuration," IJERPH, MDPI, vol. 15(9), pages 1-17, September.
    14. Collins, Damian C. A. & Kearns, Robin A., 2005. "Geographies of inequality: Child pedestrian injury and walking school buses in Auckland, New Zealand," Social Science & Medicine, Elsevier, vol. 60(1), pages 61-69, January.
    15. Colette Cunningham-Myrie & Katherine P Theall & Novie Younger-Coleman & Lisa-Gaye Greene & Parris Lyew-Ayee & Rainford Wilks, 2021. "Associations of neighborhood physical and crime environments with obesity-related outcomes in Jamaica," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-19, April.
    16. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    17. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    18. Grazia Salvo & Bonnie M. Lashewicz & Patricia K. Doyle-Baker & Gavin R. McCormack, 2018. "Neighbourhood Built Environment Influences on Physical Activity among Adults: A Systematized Review of Qualitative Evidence," IJERPH, MDPI, vol. 15(5), pages 1-21, May.
    19. Wang, Fenglong & Mao, Zidan & Wang, Donggen, 2020. "Residential relocation and travel satisfaction change: An empirical study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 341-353.
    20. Yuval Arbel & Chaim Fialkoff & Amichai Kerner, 2020. "The Chicken and Egg Problem: Obesity and the Urban Monocentric Model," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 576-606, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:70:y:2010:i:12:p:2011-2018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.