IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i11p2036-d238180.html
   My bibliography  Save this article

Metabolic Outcomes in Southern Italian Preadolescents Residing Near an Industrial Complex: The Role of Residential Location and Socioeconomic Status

Author

Listed:
  • Esha Bansal

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy
    Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Donatella Placidi

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy)

  • Shaye Carver

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy
    Department of Biology, Morrissey College of Arts and Sciences, Boston College, Chestnut Hill, PA 02467, USA)

  • Stefano Renzetti

    (Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
    Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy)

  • Augusto Giorgino

    (Department of Prevention, Local Health Authority of Taranto, 74121 Taranto, Italy)

  • Giuseppa Cagna

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy)

  • Silvia Zoni

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy)

  • Chiara Fedrighi

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy)

  • Miriana Montemurro

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy
    Department of Prevention, Local Health Authority of Taranto, 74121 Taranto, Italy)

  • Manuela Oppini

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy)

  • Michele Conversano

    (Department of Prevention, Local Health Authority of Taranto, 74121 Taranto, Italy)

  • Stefano Guazzetti

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy
    Local Health Authority of Reggio Emilia, 42122 Reggio Emilia, Italy)

  • Robert O. Wright

    (Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Donald Smith

    (Department of Microbiology and Environmental Toxicology, University of California Santa Cruz, Santa Cruz, CA 95064, USA)

  • Luz Claudio

    (Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

  • Roberto G. Lucchini

    (Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25123 Brescia, Italy
    Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA)

Abstract

Evidence suggests that environmental exposures and socioeconomic factors may interact to produce metabolic changes in children. We assessed the influence of residential location and socioeconomic status (SES) on pediatric body mass index (BMI) Z-score and fasting blood glucose (FBG) concentration. Participants included 214 children aged 6–11 years who live near a large industrial complex in Taranto, Italy. Participants were grouped into residential zones based on the distance between their home address and the complex periphery (Zone 1: 0.000–4.999 km, Zone 2: 5.000–9.999 km, Zone 3: 10.000–15.000 km). BMI Z-scores were calculated via World Health Organization (WHO) pediatric reference curves. FBG was obtained via venous blood sampling. Closer residential location to the industrial complex on the order of 5.000 km was significantly associated with worsened metabolic outcomes, particularly in female children. Zone 1 participants had higher BMI-adjusted FBG than Zone 2 and 3 participants ( p < 0.05 versus Zone 2; p < 0.01 versus Zone 3). SES did not significantly influence BMI-adjusted FBG. Moreover, BMI Z-scores indicated high rates of overweight (22.0%) and obesity (22.9%) in the cohort. BMI Z-score was not significantly associated with SES or residential zone but was negatively associated with maternal education level ( p < 0.05). These results offer new evidence that residing near industrial activity may predict adverse effects on child metabolic health.

Suggested Citation

  • Esha Bansal & Donatella Placidi & Shaye Carver & Stefano Renzetti & Augusto Giorgino & Giuseppa Cagna & Silvia Zoni & Chiara Fedrighi & Miriana Montemurro & Manuela Oppini & Michele Conversano & Stefa, 2019. "Metabolic Outcomes in Southern Italian Preadolescents Residing Near an Industrial Complex: The Role of Residential Location and Socioeconomic Status," IJERPH, MDPI, vol. 16(11), pages 1-16, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:2036-:d:238180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/11/2036/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/11/2036/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tiziana Grassi & Antonella De Donno & Francesco Bagordo & Francesca Serio & Prisco Piscitelli & Elisabetta Ceretti & Claudia Zani & Gaia C. V. Viola & Milena Villarini & Massimo Moretti & Sara Levorat, 2016. "Socio-Economic and Environmental Factors Associated with Overweight and Obesity in Children Aged 6–8 Years Living in Five Italian Cities (the MAPEC_LIFE Cohort)," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    2. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    3. Hanna-Attisha, M. & LaChance, J. & Sadler, R.C. & Schnepp, A.C., 2016. "Elevated blood lead levels in children associated with the flint drinking water crisis: A spatial analysis of risk and public health response," American Journal of Public Health, American Public Health Association, vol. 106(2), pages 283-290.
    4. Walsh, Brendan & Cullinan, John, 2015. "Decomposing socioeconomic inequalities in childhood obesity: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 16(C), pages 60-72.
    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. Kelton Mock & Anton M. Palma & Jun Wu & John Billimek & Kim D. Lu, 2022. "Breathing Room: Industrial Zoning and Asthma Incidence Using School District Health Records in the City of Santa Ana, California," IJERPH, MDPI, vol. 19(8), pages 1-12, April.

    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. Gerhard Tutz & Moritz Berger, 2018. "Tree-structured modelling of categorical predictors in generalized additive regression," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 737-758, September.
    2. Tommaso Luzzati & Angela Parenti & Tommaso Rughi, 2017. "Spatial error regressions for testing the Cancer-EKC," Discussion Papers 2017/218, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    4. Qing-Hai Gong & Si-Xuan Li & Hui Li & Jun Cui & Guo-Zhang Xu, 2018. "Insufficient Sleep Duration and Overweight/Obesity among Adolescents in a Chinese Population," IJERPH, MDPI, vol. 15(5), pages 1-9, May.
    5. Conor Waldock & Bernhard Wegscheider & Dario Josi & Bárbara Borges Calegari & Jakob Brodersen & Luiz Jardim de Queiroz & Ole Seehausen, 2024. "Deconstructing the geography of human impacts on species’ natural distribution," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    7. Rama Natarajan & Dana Aljaber & Dawn Au & Christine Thai & Angelica Sanchez & Alan Nunez & Cristal Resto & Tanya Chavez & Marta M. Jankowska & Tarik Benmarhnia & Jiue-An Yang & Veronica Jones & Jernej, 2020. "Environmental Exposures during Puberty: Window of Breast Cancer Risk and Epigenetic Damage," IJERPH, MDPI, vol. 17(2), pages 1-17, January.
    8. Sihvonen, Markus, 2021. "Yield curve momentum," Research Discussion Papers 15/2021, Bank of Finland.
    9. Roberto Basile & Luigi Benfratello & Davide Castellani, 2012. "Geoadditive models for regional count data: an application to industrial location," ERSA conference papers ersa12p83, European Regional Science Association.
    10. Dillon T. Fogarty & Caleb P. Roberts & Daniel R. Uden & Victoria M. Donovan & Craig R. Allen & David E. Naugle & Matthew O. Jones & Brady W. Allred & Dirac Twidwell, 2020. "Woody Plant Encroachment and the Sustainability of Priority Conservation Areas," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    11. Slawa Rokicki & Mark E. McGovern, 2020. "Heterogeneity in Early Life Investments: A Longitudinal Analysis of Children's Time Use," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 647-676, September.
    12. E. Zanini & E. Eastoe & M. J. Jones & D. Randell & P. Jonathan, 2020. "Flexible covariate representations for extremes," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.
    13. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    14. Ji, Shujuan & Liu, Xiaojie & Wang, Yuanqing, 2024. "The role of road infrastructures in the usage of bikeshare and private bicycle," Transport Policy, Elsevier, vol. 149(C), pages 234-246.
    15. Kunwar, Samrat B. & Khatiwada, Niraj & Rahman, Mohammad Mashiur & Liu, Menqui & Thapa, Swati & Bohara, Alok K. & Wang, Jingjing, 2023. "Reimagining Teaching Water Issues through Experiential Learning," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(3), September.
    16. Jason A. Hubbart & Kaylyn S. Gootman, 2021. "A Call to Broaden Investment in Drinking Water Testing and Community Outreach Programs," Challenges, MDPI, vol. 12(2), pages 1-10, December.
    17. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.
    18. Shan Parker & Vicki Johnson-Lawrence, 2022. "Addressing Trauma-Informed Principles in Public Health through Training and Practice," IJERPH, MDPI, vol. 19(14), pages 1-14, July.
    19. repec:grz:wpaper:2014-05 is not listed on IDEAS
    20. Tuviere Onookome-Okome & Angel Hsu & Dean G. Kilpatrick & Angela Moreland & Aaron Reuben, 2023. "Association of Public Works Disasters with Substance Use Difficulties: Evidence from Flint, Michigan, Five Years after the Water Crisis Onset," IJERPH, MDPI, vol. 20(23), pages 1-12, November.
    21. Cathrine Ulla Jensen & Toke Emil Panduro, 2016. "PanJen: A test for functional form with continuous variables," IFRO Working Paper 2016/08, University of Copenhagen, Department of Food and Resource Economics.

    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:16:y:2019:i:11:p:2036-:d:238180. 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.