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The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighbourhood of residence on depression

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  • Vallée, Julie
  • Cadot, Emmanuelle
  • Roustit, Christelle
  • Parizot, Isabelle
  • Chauvin, Pierre

Abstract

The literature reports an association between neighbourhood deprivation and individual depression after adjustment for individual factors. The present paper investigates whether vulnerability to neighbourhood features is influenced by individual “activity space” (i.e., the space within which people move about or travel in the course of their daily activities). It can be assumed that a deprived residential environment can exert a stronger influence on the mental health of people whose activity space is limited to their neighbourhood of residence, since their exposure to their neighbourhood would be greater. Moreover, we studied the relationship between activity space size and depression. A limited activity space could indeed reflect spatial and social confinement and thus be associated with a higher risk of being depressed, or, conversely, it could be linked to a deep attachment to the neighbourhood of residence and thus be associated with a lower risk of being depressed.

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  • Vallée, Julie & Cadot, Emmanuelle & Roustit, Christelle & Parizot, Isabelle & Chauvin, Pierre, 2011. "The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighbourhood of residence on depression," Social Science & Medicine, Elsevier, vol. 73(8), pages 1133-1144.
  • Handle: RePEc:eee:socmed:v:73:y:2011:i:8:p:1133-1144
    DOI: 10.1016/j.socscimed.2011.08.009
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    3. Shareck, Martine & Kestens, Yan & Frohlich, Katherine L., 2014. "Moving beyond the residential neighborhood to explore social inequalities in exposure to area-level disadvantage: Results from the Interdisciplinary Study on Inequalities in Smoking," Social Science & Medicine, Elsevier, vol. 108(C), pages 106-114.
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    5. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    6. Julie Vallée & Guillaume Le Roux & Basile Chaix & Yan Kestens & Pierre Chauvin, 2015. "The ‘constant size neighbourhood trap’ in accessibility and health studies," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 338-357, February.
    7. Graif, Corina & Arcaya, Mariana C. & Diez Roux, Ana V., 2016. "Moving to opportunity and mental health: Exploring the spatial context of neighborhood effects," Social Science & Medicine, Elsevier, vol. 162(C), pages 50-58.
    8. 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.
    9. Roberts, Hannah & van Lissa, Caspar & Helbich, Marco, 2021. "Perceived neighbourhood characteristics and depressive symptoms: Potential mediators and the moderating role of employment status," Social Science & Medicine, Elsevier, vol. 268(C).
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    11. Sharp, Gregory & Denney, Justin T. & Kimbro, Rachel T., 2015. "Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health," Social Science & Medicine, Elsevier, vol. 146(C), pages 204-213.
    12. Wen Zhong & Jian Suo & Xinxin Ren & Guopeng Li, 2021. "The Influence of Emotional Health on the Activity Characteristics of the Elderly and the Selection of Environmental Quality Factors in Residential Areas," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    13. Nina Rautio & Svetlana Filatova & Heli Lehtiniemi & Jouko Miettunen, 2018. "Living environment and its relationship to depressive mood: A systematic review," International Journal of Social Psychiatry, , vol. 64(1), pages 92-103, February.
    14. Nanath, Krishnadas & Balasubramanian, Sreejith & Shukla, Vinaya & Islam, Nazrul & Kaitheri, Supriya, 2022. "Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

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