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Coutinho GBF, Moreira MDFR, Fischer FM, dos Santos MCR, Feitosa LF, de Azevedo SV, Borges RM, Nascimento-Sales M, Christoffolete MA, Santa-Marinha MS, Valente D, Teixeira LR. Influence of Environmental Exposure to Steel Waste on Endocrine Dysregulation and PER3 Gene Polymorphisms. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4760. [PMID: 36981669 PMCID: PMC10049198 DOI: 10.3390/ijerph20064760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/04/2023] [Accepted: 03/05/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE To evaluate the association between environmental exposure to the following chemical substances: cadmium (Cd), lead (Pb), nickel (Ni), manganese (Mn), benzene (BZN), and toluene (TLN), and Period Circadian Regulator 3 (PER3) gene variable number of tandem repeats (VNTR) polymorphisms, according to chronotype in a population living in a steel residue-contaminated area. METHODS This assessment comprises a study conducted from 2017 to 2019 with 159 participants who completed health, work, and Pittsburgh sleep scale questionnaires. Cd, Pb, Ni, Mn, BZN, and TLN concentrations in blood and urine were determined by Graphite Furnace Atomic Absorption Spectrometry (GFAAS) and Headspace Gas Chromatography (GC), and genotyping was carried out using Polymerase Chain Reaction (PCR). RESULTS A total of 47% of the participants were afternoon chronotype, 42% were indifferent, and 11% were morning chronotype. Insomnia and excessive sleepiness were associated with the indifferent chronotype, while higher urinary manganese levels were associated with the morning chronotype (Kruskal-Wallis chi-square = 9.16; p < 0.01). In turn, the evening chronotype was associated with poorer sleep quality, higher lead levels in blood, and BZN and TLN levels in urine (χ2 = 11.20; p < 0.01) in non-occupationally exposed individuals (χ2 = 6.98; p < 0.01) as well as the highest BZN (χ2 = 9.66; p < 0.01) and TLN (χ2 = 5.71; p < 0.01) levels detected in residents from the influence zone 2 (far from the slag). CONCLUSION Mn, Pb, benzene, and toluene contaminants may have influenced the different chronotypes found in the steel residue-exposed population.
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Affiliation(s)
- Gilvania Barreto Feitosa Coutinho
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Maria de Fátima Ramos Moreira
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Frida Marina Fischer
- Department of Environmental Health, School of Public Health, University of São Paulo, São Paulo 01246-904, SP, Brazil
| | - Maria Carolina Reis dos Santos
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Lucas Ferreira Feitosa
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Sayonara Vieira de Azevedo
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Renato Marçullo Borges
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Michelle Nascimento-Sales
- Center for Natural and Human Sciences (CCNH), ABC Federal University (UFABC), Santo André 09210-580, SP, Brazil
- Centro de Ciências Biológicas e de Saúde (CBS), Universidade Cruzeiro do Sul (Unicsul), São Paulo 01506-000, SP, Brazil
| | | | - Marden Samir Santa-Marinha
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Daniel Valente
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
| | - Liliane Reis Teixeira
- Center for Studies on the Worker’s Health and Human Ecology, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, 1480 Leopoldo Bulhões St., Rio de Janeiro 21041-210, RJ, Brazil
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Wei W, Wu X, Bai Y, Li G, Meng H, Feng Y, Li H, Li M, Guan X, Fu M, Wang C, Jie J, Zhang X, He M, Guo H. Arsenic exposure and its joint effects with cigarette smoking and physical exercise on lung function impairment: Evidence from an occupational cohort study. ENVIRONMENTAL RESEARCH 2021; 196:110419. [PMID: 33137312 DOI: 10.1016/j.envres.2020.110419] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 10/20/2020] [Accepted: 10/27/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Arsenic (As) is an established toxic metal, but its effect on longitudinal lung function change among occupational workers is less conclusive. METHODS 1243 participants were recruited in a coke-oven plant and followed up from 2010 to 2014. Each individual provided 20 mL morning urine sample at baseline, which was then used for urinary levels of As (U-As) and polycyclic aromatic hydrocarbon (PAH) metabolites detecting. Lung function levels at both baseline and the end of follow-up were determined. Multiple linear regression models were used to analyze the associations between U-As with annual lung function changes, and to evaluate the joint effects of U-As with cigarette smoking and regular physical exercise. RESULTS Among all participants, each 2-fold increase in U-As was associated with -12.09 (95%CI: -19.37, -4.81) mL, -0.32% (95%CI: -0.54%, -0.10%), -15.04 (95%CI: -24.62, -5.46) mL, and -0.36% (95%CI: -0.64%, -0.08%) annual changes in reduced forced expiratory volume in 1 second (FEV1), percent predicted FEV1 (ppFEV1), forced vital capacity (FVC), and percent predicted FVC (ppFVC), respectively. These effects were more pronounced among coke-oven workers with smoking (especially heavy smoking with pack-years≥15) and without regular physical exercise. Compared to low-As-exposed (≤4.70 μg/mmol creatinine) non-smokers with regular physical exercise, the high-As-exposed (>4.70 μg/mmol creatinine) smokers without regular physical exercise had the worst annual declines in FEV1 [β (95%CI) = -69.01 (-106.67, -31.34) mL], ppFEV1 [β (95%CI) = -1.94% (-3.02%, -0.87%)], FVC [β (95%CI) = -78.66 (95%CI: -129.46, -27.86) mL], and ppFVC [β (95%CI) = -1.80% (-3.23%, -0.37%)]. CONCLUSIONS The findings in our prospective cohort study suggested the positively linear dose-response relationship of U-As with annual lung function decline. The adverse effects of As could be enhanced by cigarette smoking and attenuated by regular physical exercise. Specific emphasizes on tobacco control and physical exercise were suggested to prevent As exposure induced pulmonary impairment.
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Affiliation(s)
- Wei Wei
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xiulong Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yansen Bai
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Guyanan Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Hang Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Mengying Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jiali Jie
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Abstract
(1) Background: Particulate matter increases the risk of respiratory, allergic and oncological diseases in both exposed workers and the general population due to its toxic compounds (e.g., PAHs, gases, heavy metals, microorganisms). The aim of this review is to show the results obtained by our department regarding air pollution’s contributions to health damage in both occupationally and non-occupationally exposed people. (2) Methods: This review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searching articles on PubMed, using eligibility criteria, extracting data independently from reports to reduce bias and considering the accuracy of the statistical analyses. (3) Results: Of fifteen papers, only three respected the abovementioned criteria. A total of 453 cases (174 occupationally exposed and 279 non-occupationally exposed individuals) were included in the review. Qualitative analysis showed that among workers, occupational exposure to air pollution increased the risk of allergic and pulmonary diseases, whereas environmental exposure to PM increased heavy metal intake, the last of which was characterized by well-known carcinogenic effects. 4) Conclusion: The use of personal protective equipment, a meticulous health surveillance program and specific environmental protection policies are needed to protect public health from damages due to air pollution.
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Vimercati L, Gatti MF, Gagliardi T, Cuccaro F, De Maria L, Caputi A, Quarato M, Baldassarre A. Environmental exposure to arsenic and chromium in an industrial area. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:11528-11535. [PMID: 28321698 PMCID: PMC5393286 DOI: 10.1007/s11356-017-8827-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/13/2017] [Indexed: 05/06/2023]
Abstract
Arsenic and chromium are widespread environmental contaminants that affect global health due to their toxicity and carcinogenicity. To date, few studies have investigated exposure to arsenic and chromium in a population residing in a high-risk environmental area. The aim of this study is to evaluate the exposure to arsenic and chromium in the general population with no occupational exposure to these metals, resident in the industrial area of Taranto, Southern Italy, through biological monitoring techniques. We measured the levels of chromium, inorganic arsenic, and methylated metabolites, in the urine samples of 279 subjects residing in Taranto and neighboring areas. Qualified health staff administered a standardized structured questionnaire investigating lifestyle habits and controlling for confounding factors. The biological monitoring data showed high urinary concentrations of both the heavy metals investigated, particularly Cr. On this basis, it will be necessary to carry out an organized environmental monitoring program, taking into consideration all exposure routes so as to correlate the environmental concentrations of these metals with the biomonitoring results.
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Affiliation(s)
- Luigi Vimercati
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | - Maria F Gatti
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | - Tommaso Gagliardi
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | | | - Luigi De Maria
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | - Antonio Caputi
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | - Marco Quarato
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
| | - Antonio Baldassarre
- Interdisciplinary Department of Medicine, Occupational Medicine “B. Ramazzini”, University of Bari Medical School, Giulio Cesare Square 11, 70124 Bari, Italy
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Masuda JR, Teelucksingh C, Zupancic T, Crabtree A, Haber R, Skinner E, Poland B, Frankish J, Fridell M. Out of our inner city backyards: re-scaling urban environmental health inequity assessment. Soc Sci Med 2012; 75:1244-53. [PMID: 22749441 DOI: 10.1016/j.socscimed.2012.04.034] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Revised: 12/20/2011] [Accepted: 04/26/2012] [Indexed: 11/24/2022]
Abstract
In this paper, we report the results of a three-year research project (2008-2011) that aimed to identify urban environmental health inequities using a photography-mediated qualitative approach adapted for comparative neighbourhood-level assessment. The project took place in Vancouver, Toronto, and Winnipeg, Canada and involved a total of 49 inner city community researchers who compared environmental health conditions in numerous neighbourhoods across each city. Using the social determinants of health as a guiding framework, community researchers observed a wide range of differences in health-influencing private and public spaces, including sanitation services, housing, parks and gardens, art displays, and community services. The comparative process enabled community researchers to articulate in five distinct ways how such observable conditions represented system level inequities. The findings inform efforts to shift environmental health intervention from constricted action within derelict urban districts to more coordinated mobilization for health equity in the city.
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Affiliation(s)
- Jeffrey R Masuda
- Department of Environment and Geography, University of Manitoba, Canada.
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