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

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  • 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
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    References listed on IDEAS

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    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.
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