IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p1958-d333369.html
   My bibliography  Save this article

Influence of Individual and Contextual Perceptions and of Multiple Neighborhoods on Depression

Author

Listed:
  • Médicoulé Traoré

    (INSERM, Sorbonne Université, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, Department of social epidemiology, F75012 Paris, France)

  • Cécile Vuillermoz

    (INSERM, Sorbonne Université, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, Department of social epidemiology, F75012 Paris, France)

  • Pierre Chauvin

    (INSERM, Sorbonne Université, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, Department of social epidemiology, F75012 Paris, France)

  • Séverine Deguen

    (INSERM, Sorbonne Université, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, Department of social epidemiology, F75012 Paris, France
    EHESP School of Public Health, F35043 Rennes, France)

Abstract

The risk of depression is related to multiple various determinants. The consideration of multiple neighborhoods daily frequented by individuals has led to increased interest in analyzing socio-territorial inequalities in health. In this context, the main objective of this study was (i) to describe and analyze the spatial distribution of depression and (ii) to investigate the role of the perception of the different frequented spaces in the risk of depression in the overall population and in the population stratified by gender. Data were extracted from the 2010 SIRS (a French acronym for “health, inequalities and social ruptures”) cohort survey. In addition to the classic individual characteristics, the participants reported their residential neighborhoods, their workplace neighborhoods and a third one: a daily frequented neighborhood. A new approach was developed to simultaneously consider the three reported neighborhoods to better quantify the level of neighborhood socioeconomic deprivation. Multiple simple and cross-classified multilevel logistic regression models were used to analyze the data. Depression was reported more frequently in low-income (OR = 1.89; CI = [1.07–3.35]) or middle-income (OR = 1.91; CI = [1.09–3.36]) neighborhoods and those with cumulative poverty (OR = 1.64; CI = [1.10–2.45]). In conclusion, a cumulative exposure score, such as the one presented here, may be an appropriate innovative approach to analyzing their effects in the investigation of socio-territorial inequalities in health.

Suggested Citation

  • Médicoulé Traoré & Cécile Vuillermoz & Pierre Chauvin & Séverine Deguen, 2020. "Influence of Individual and Contextual Perceptions and of Multiple Neighborhoods on Depression," IJERPH, MDPI, vol. 17(6), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1958-:d:333369
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/1958/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/1958/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weden, Margaret M. & Carpiano, Richard M. & Robert, Stephanie A., 2008. "Subjective and objective neighborhood characteristics and adult health," Social Science & Medicine, Elsevier, vol. 66(6), pages 1256-1270, March.
    2. Augustin, T. & Glass, T.A. & James, B.D. & Schwartz, B.S., 2008. "Neighborhood psychosocial hazards and cardiovascular disease: The Baltimore Memory Study," American Journal of Public Health, American Public Health Association, vol. 98(9), pages 1664-1670.
    3. Wen, Ming & Hawkley, Louise C. & Cacioppo, John T., 2006. "Objective and perceived neighborhood environment, individual SES and psychosocial factors, and self-rated health: An analysis of older adults in Cook County, Illinois," Social Science & Medicine, Elsevier, vol. 63(10), pages 2575-2590, November.
    4. Chaix, Basile & Merlo, Juan & Evans, David & Leal, Cinira & Havard, Sabrina, 2009. "Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur," Social Science & Medicine, Elsevier, vol. 69(9), pages 1306-1310, November.
    5. 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.
    6. Katherine King & Christin Ogle, 2014. "Negative Life Events Vary by Neighborhood and Mediate the Relation between Neighborhood Context and Psychological Well-Being," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-10, April.
    7. Scott, Stacey B. & Munoz, Elizabeth & Mogle, Jacqueline A. & Gamaldo, Alyssa A. & Smyth, Joshua M. & Almeida, David M. & Sliwinski, Martin J., 2018. "Perceived neighborhood characteristics predict severity and emotional response to daily stressors," Social Science & Medicine, Elsevier, vol. 200(C), pages 262-270.
    8. Peter James & Jaime E. Hart & Mariana C. Arcaya & Diane Feskanich & Francine Laden & S.V. Subramanian, 2015. "Neighborhood Self-Selection: The Role of Pre-Move Health Factors on the Built and Socioeconomic Environment," IJERPH, MDPI, vol. 12(10), pages 1-16, October.
    9. Won, Jaewoong & Lee, Chanam & Forjuoh, Samuel N. & Ory, Marcia G., 2016. "Neighborhood safety factors associated with older adults' health-related outcomes: A systematic literature review," Social Science & Medicine, Elsevier, vol. 165(C), pages 177-186.
    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. Young-Shin Park & Barbara J. McMorris & Lisiane Pruinelli & Ying Song & Merrie J. Kaas & Jean F. Wyman, 2021. "Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review," IJERPH, MDPI, vol. 18(16), pages 1-28, August.

    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. Petteway, Ryan J. & Mujahid, Mahasin & Allen, Amani & Morello-Frosch, Rachel, 2019. "The body language of place: A new method for mapping intergenerational “geographies of embodiment” in place-health research," Social Science & Medicine, Elsevier, vol. 223(C), pages 51-63.
    2. Oshio, Takashi & 小塩, 隆士 & オシオ, タカシ & Urakawa, Kunio, 2011. "Neighborhood Perceptions, Self-rated Health, and Personality Traits: Evidence from Japan," CIS Discussion paper series 531, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    3. Eva Anna Christina Hart & Jeroen Lakerveld & Martin McKee & Jean-Michel Oppert & Harry Rutter & Hélène Charreire & Ruut Veenhoven & Helga Bárdos & Sofie Compernolle & Ilse De Bourdeaudhuij & Johannes , 2018. "Contextual correlates of happiness in European adults," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-17, January.
    4. Samuel, Laura J. & Glass, Thomas A. & Thorpe, Roland J. & Szanton, Sarah L. & Roth, David L., 2015. "Household and neighborhood conditions partially account for associations between education and physical capacity in the National Health and Aging Trends Study," Social Science & Medicine, Elsevier, vol. 128(C), pages 67-75.
    5. Robert F. Valois & Jelani C. Kerr & Michael P. Carey & Larry K. Brown & Daniel Romer & Ralph J. DiClemente & Peter A. Vanable, 2020. "Neighborhood Stress and Life Satisfaction: Is there a Relationship for African American Adolescents?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(1), pages 273-296, March.
    6. Wilson-Genderson, Maureen & Pruchno, Rachel, 2013. "Effects of neighborhood violence and perceptions of neighborhood safety on depressive symptoms of older adults," Social Science & Medicine, Elsevier, vol. 85(C), pages 43-49.
    7. Danan Gu & Haiyan Zhu & Ming Wen, 2015. "Neighborhood-health links: Differences between rural-to-urban migrants and natives in Shanghai," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(17), pages 499-524.
    8. O'Brien, Daniel T. & Farrell, Chelsea & Welsh, Brandon C., 2019. "Broken (windows) theory: A meta-analysis of the evidence for the pathways from neighborhood disorder to resident health outcomes and behaviors," Social Science & Medicine, Elsevier, vol. 228(C), pages 272-292.
    9. Petrović, Ana & Manley, David & van Ham, Maarten, 2018. "Freedom from the Tyranny of Neighbourhood: Rethinking Socio-Spatial Context Effects," IZA Discussion Papers 11416, Institute of Labor Economics (IZA).
    10. Liang Ma & Jennifer Dill & Cynthia Mohr, 2014. "The objective versus the perceived environment: what matters for bicycling?," Transportation, Springer, vol. 41(6), pages 1135-1152, November.
    11. Scott, Stacey B. & Munoz, Elizabeth & Mogle, Jacqueline A. & Gamaldo, Alyssa A. & Smyth, Joshua M. & Almeida, David M. & Sliwinski, Martin J., 2018. "Perceived neighborhood characteristics predict severity and emotional response to daily stressors," Social Science & Medicine, Elsevier, vol. 200(C), pages 262-270.
    12. Dustin T. Duncan & Julie Méline & Yan Kestens & Kristen Day & Brian Elbel & Leonardo Trasande & Basile Chaix, 2016. "Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study," IJERPH, MDPI, vol. 13(6), pages 1-14, June.
    13. Liang En Wee & Yun Ying Tammy Tsang & Sook Muay Tay & Andre Cheah & Mark Puhaindran & Jaime Yee & Shannon Lee & Kellynn Oen & Choon Huat Gerald Koh, 2019. "Perceived Neighborhood Environment and Its Association with Health Screening and Exercise Participation amongst Low-Income Public Rental Flat Residents in Singapore," IJERPH, MDPI, vol. 16(8), pages 1-16, April.
    14. Jae Seung Lee & Sungjin Park & Sanghoon Jung, 2016. "Effect of Crime Prevention through Environmental Design (CPTED) Measures on Active Living and Fear of Crime," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    15. Sékou Samadoulougou & Laurence Letarte & Alexandre Lebel, 2022. "Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    16. J Padmaka Silva & Ankur Singh & Brian Oldenburg & Wasantha Gunathunga & A M A A P Alagiyawanna & Suzanne Mavoa, 2021. "Associations between residential greenness and self-reported heart disease in Sri Lankan men: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-12, May.
    17. Oshio, Takashi & Urakawa, Kunio, 2013. "The association between perceived income inequality and subjective well-being: Evidence from a social survey in Japan," CIS Discussion paper series 579, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    18. Masood Gheasi & Noriko Ishikawa & Karima Kourtit & Peter Nijkamp, 2019. "A meta-analysis of human health differences in urban and rural environments," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 167-186, December.
    19. Meffert, Susan M. & McCulloch, Charles E. & Neylan, Thomas C. & Gandhi, Monica & Lund, Crick, 2015. "Increase of perceived frequency of neighborhood domestic violence is associated with increase of women's depression symptoms in a nationally representative longitudinal study in South Africa," Social Science & Medicine, Elsevier, vol. 131(C), pages 89-97.
    20. Razieh Zandieh & Javier Martinez & Johannes Flacke & Phil Jones & Martin Van Maarseveen, 2016. "Older Adults’ Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics," IJERPH, MDPI, vol. 13(12), pages 1-24, 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:gam:jijerp:v:17:y:2020:i:6:p:1958-:d:333369. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.