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Details

Research article
Authors

Lucchini RG, Guazzetti S, Renzetti S, Conversano M, Cagna G, Fedrighi C, Giorgino A, Peli M, Placidi D, Zoni S, Forte G, Majorani C, Pino A, Senofonte O, Petrucci F, Alimonti A

Journal

Environmental Health: A Global Access Science Source

Summary
This research article studied the impact co-exposure to metal and socio-economic stressors has on children aged 6-12 years old. The authors collected hair, blood, and urine samples to test metal concentrations. They also collected socioeconomic information and performed the Wechsler Intelligence Scale for Children (WISC) and the Cambridge Neuropsychological Test Automated Battery (CANTAB) to test for cognitive outcomes. When the data was collected, the authors ran linear mixed models to assess the association between metal exposure, socio-economic status, and neurocognitive outcomes. They found that subjects with higher socio-economic status showed better neurocognitive scores compared to thier lower SES counterparts. Significant correlation between metal exposure and SES was also observed.
Population

Children aged 6-12 years residing at incremental distance from industrial emissions

Health Outcomes

  • Reduced cognitive abilities

Health Outcome List:

  • Not available

Environmental Agents

List of Environmental Agents:

  • Metals (arsenic, cadmium, manganese, mercury, lead, and selenium)

Source of Environmental Agents:

  • Adverse home and family environment

Economic Evaluation / Methods and Source

Type:

  • Cost analysis (CA)

Cost Measures:

  • Decrease in intellectual abilities due to co-exposure of metals and socio-economic stressors.

Potential Cost Measures:

  • Not available

Benefits Measures:

  • Not available

Potential Benefits Measures:

  • Not available

Location:

  • Taranto, Italy

Models Used:

  • Linear regression models
  • generalized additive models (GAMS)
  • non-parametric Kruskal Wallis rank-sum test.

Models References:

  • Not available

Methods Used:

  • The authors — 1) collected whole blood, urine and hair to measure metals; 2) administered an individual assessment of sociodemographic and lifestyle information; 3) collected information about the home environment through the Home Observation for Measurement of the Environment (HOME) Questionnaire; and 4) once all of the information was collected, generalized additive models (GAMs) were used to assses the data.

Sources Used:

  • Wechsler Intelligence Scale for Children (WISC); Environmental Agency (ARPA) of the Puglia Region (Valutazione del Danno Sanitario, 2012); Cambridge Neuropyschological Test Automated Battery (CANTAB, 2015); Home Observation for Measurement of the Environment (HOME) questionnaire (Bradley et al., 1998); The WHO MONICA project (Cesana et al., 1995); German Environmental Survey (GerES IV)(Schulz et al., 2009); US National Health and Nutrition Examination Survey (NHAMES, 2017); Additional sources cited in the publication.

Economic Citation / Fundings

Citation:

  • Lucchini RG, Guazzetti S, Renzetti S, Conversano M, Cagna G, Fedrighi C, Giorgino A, Peli M, Placidi D, Zoni S, Forte G, Majorani C, Pino A, Senofonte O, Petrucci F, Alimonti A. Neurocognitive Impact of Metal Exposure and Social Stressors Among Schoolchildren in Taranto, Italy. Environmental Health: A Global Access Science Source. 2019. 18; 1.
  • Pubmed
  • DOI

NIEHS Funding:

  • R01ES019222, R56ES019222

Other Funding:

  • Not available