IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v65y2020i5d10.1007_s00038-020-01378-3.html
   My bibliography  Save this article

Air pollution and children’s respiratory health: a scoping review of socioeconomic status as an effect modifier

Author

Listed:
  • Dalia M. Munoz-Pizza

    (Universidad Autonoma de Baja California)

  • Mariana Villada-Canela

    (Universidad Autonoma de Baja California)

  • M. A. Reyna

    (Universidad Autonoma de Baja California)

  • José Luis Texcalac-Sangrador

    (Center for Population Health Research, National Institute of Public Health)

  • Álvaro R. Osornio-Vargas

    (Faculty of Medicine & Dentistry, University of Alberta)

Abstract

Objectives Air pollution is a leading environmental risk, and socioeconomic status (SES) is postulated as an effect modifier, especially in children. There is a growing interest in exploring this modifier. The present manuscript reviews SES as an effect modifier in children’s respiratory health. Methods A search in the PubMed and SCOPUS databases was conducted in September 2017 to identify studies with the inclusion criteria of being centred on children, respiratory outcomes, air pollutants and SES measurement. Results A total of 17 studies were included. Twelve used single SES variables, and the remaining studies included composite SES indices. Household income (9) and parental education (8) were frequently evaluated. The significance of the effect modifier was found in nine studies that demonstrated a higher risk for individuals living in a lower SES. Sources of heterogeneity included SES measurement, health outcomes and geographical aggregation. Conclusions The results suggest a higher modification in the effect of SES, generally indicating greater risk for children in lower SES. Children’s characteristics need to be more carefully theorized and measured in this area, including the use of transdisciplinary approaches.

Suggested Citation

  • Dalia M. Munoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Álvaro R. Osornio-Vargas, 2020. "Air pollution and children’s respiratory health: a scoping review of socioeconomic status as an effect modifier," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(5), pages 649-660, June.
    • Handle: RePEc:spr:ijphth:v:65:y:2020:i:5:d:10.1007_s00038-020-01378-3
    DOI: 10.1007/s00038-020-01378-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-020-01378-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00038-020-01378-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Tarik Benmarhnia & Lynda Rey & Yuri Cartier & Christelle Clary & Séverine Deguen & Astrid Brousselle, 2014. "Addressing equity in interventions to reduce air pollution in urban areas: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(6), pages 933-944, December.
    2. Corvalán, C. & Amigo, H. & Bustos, P. & Rona, R.J., 2005. "Socioeconomic risk factors for asthma in Chilean young adults," American Journal of Public Health, American Public Health Association, vol. 95(8), pages 1375-1381.
    3. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    4. Yap, P.-S. & Gilbreath, S. & Garcia, C. & Jareen, N. & Goodrich, B., 2013. "The influence of socioeconomic markers on the association between fine particulate matter and hospital admissions for respiratory conditions among children," American Journal of Public Health, American Public Health Association, vol. 103(4), pages 695-702.
    5. Adam Wagstaff & Naoko Watanabe, 2003. "What difference does the choice of SES make in health inequality measurement?," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 885-890, October.
    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. Ann Marie Cheney & Gabriela Ortiz & Ashley Trinidad & Sophia Rodriguez & Ashley Moran & Andrea Gonzalez & Jaír Chavez & María Pozar, 2023. "Latinx and Indigenous Mexican Caregivers’ Perspectives of the Salton Sea Environment on Children’s Asthma, Respiratory Health, and Co-Presenting Health Conditions," IJERPH, MDPI, vol. 20(11), pages 1-15, June.
    2. Casey Mullen & Sara E. Grineski & Timothy W. Collins & Daniel L. Mendoza, 2020. "Effects of PM 2.5 on Third Grade Students’ Proficiency in Math and English Language Arts," IJERPH, MDPI, vol. 17(18), pages 1-21, September.

    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. Dalia M. Munoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Álvaro R. Osornio-Vargas, 0. "Air pollution and children’s respiratory health: a scoping review of socioeconomic status as an effect modifier," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 0, pages 1-12.
    2. Olufunke Alaba & Lumbwe Chola, 2014. "Socioeconomic Inequalities in Adult Obesity Prevalence in South Africa: A Decomposition Analysis," IJERPH, MDPI, vol. 11(3), pages 1-20, March.
    3. Steven Prus, 2007. "Age, SES, and Health: A Population Level Analysis of Health Inequalities over the Life Course," Social and Economic Dimensions of an Aging Population Research Papers 181, McMaster University.
    4. Hoeck, Sarah & François, Guido & Van der Heyden, Johan & Geerts, Joanna & Van Hal, Guido, 2011. "Healthcare utilisation among the Belgian elderly in relation to their socio-economic status," Health Policy, Elsevier, vol. 99(2), pages 174-182, February.
    5. Mohammad Abu-Zaineh & Habiba Romdhane & Bruno Ventelou & Jean-Paul Moatti & Arfa Chokri, 2013. "Appraising financial protection in health: the case of Tunisia," International Journal of Health Economics and Management, Springer, vol. 13(1), pages 73-93, March.
    6. David Yoon Kin Tong & Chau Keng Tee & Hishamuddin Ismail, 2016. "Developing the Profile of Green Consumer and Family Decision Making Model: A Review," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 282-291, September.
    7. Isabelle Roskam & Jean-Christophe Meunier & Marie Stievenart, 2015. "From Parents to Siblings and Peers," SAGE Open, , vol. 5(4), pages 21582440156, October.
    8. Aue, Katja & Roosen, Jutta, 2010. "Poverty and health behaviour: Comparing socioeconomic status and a combined poverty indicator as a determinant of health behaviour," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116401, European Association of Agricultural Economists.
    9. Shoham, David A. & Vupputuri, Suma & Kaufman, Jay S. & Kshirsagar, Abhijit V. & Diez Roux, Ana V. & Coresh, Josef & Heiss, Gerardo, 2008. "Kidney disease and the cumulative burden of life course socioeconomic conditions: The Atherosclerosis Risk in Communities (ARIC) Study," Social Science & Medicine, Elsevier, vol. 67(8), pages 1311-1320, October.
    10. N. Dardenne & B. Pétré & E. Husson & M. Guillaume & A. F. Donneau, 2020. "Assessing Quality of Life in an Obesity Observational Study: a Structural Equation Modeling Approach," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1117-1133, September.
    11. Jane Iloanya & Emmanuel Zhanda & Asitha Kodippili, 2023. "Multilevel Analysis of Student and School Variables Responsible for the Differentials in Mathematics Achievement: Evidence from the TIMMS 2015-Botswana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(7), pages 1150-1163, July.
    12. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    13. Mejía-Guevara, Iván, 2015. "Economic inequality and intergenerational transfers: Evidence from Mexico," The Journal of the Economics of Ageing, Elsevier, vol. 5(C), pages 23-32.
    14. William Boyce & Torbjorn Torsheim & Candace Currie & Alessio Zambon, 2006. "The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 78(3), pages 473-487, September.
    15. Haiyong Liu, 2008. "The China health and nutrition survey: an important database for poverty and inequality research," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(4), pages 373-376, December.
    16. Rabia Khalaila, 2016. "Depression statuses and related predictors in later life: A 10-year follow-up study in Israel," European Journal of Ageing, Springer, vol. 13(4), pages 311-321, December.
    17. Martin Korndörfer & Boris Egloff & Stefan C. Schmukle, 2015. "A Large Scale Test of the Effect of Social Class on Prosocial Behavior," Working Papers 1601, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    18. Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
    19. Jason R. D. Rarick & Carly Tubbs Dolan & Wen‐Jui Han & Jun Wen, 2018. "Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 390-405, March.
    20. Conrad Murendo & Gamuchirai Murenje & Pepukai Prince Chivenge & Rumbidzai Mtetwa, 2021. "Financial Inclusion, Nutrition and Socio‐Economic Status Among Rural Households in Guruve and Mount Darwin Districts, Zimbabwe," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(1), pages 86-108, January.

    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:spr:ijphth:v:65:y:2020:i:5:d:10.1007_s00038-020-01378-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.