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Del Río SG, Plans-Beriso E, Ramis R, Ortolá R, Pastor R, Sotos-Prieto M, Castelló A, Requena RO, Moleón JJJ, Félix BMF, Muriel A, Miret M, Mateos JLA, Choi YH, Rodríguez-Artalejo F, Fernández-Navarro P, García-Esquinas E. Exposure to residential traffic and trajectories of unhealthy ageing: results from a nationally-representative cohort of older adults. Environ Health 2024; 23:15. [PMID: 38303067 PMCID: PMC10832178 DOI: 10.1186/s12940-024-01057-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 01/22/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory, cardiovascular, and all-cause mortality. Whether it is associated with functional impairments and unhealthy ageing trajectories is unknown. METHODS Nationally representative population-based cohort with 3,126 community-dwelling individuals aged ≥60 years who contributed 8,291 biannual visits over a 10 year period. Unhealthy ageing was estimated with a deficit accumulation index (DAI) based on the number and severity of 52 health deficits, including 22 objectively-measured impairments in physical and cognitive functioning. Differences in DAI at each follow-up across quintiles of residential traffic density (RTD) at 50 and 100 meters, and closest distance to a petrol station, were estimated using flexible marginal structural models with inverse probability of censoring weights. Models were adjusted for sociodemographic and time-varying lifestyle factors, social deprivation index at the census tract and residential exposure to natural spaces. RESULTS At baseline, the mean (SD) age and DAI score of the participants were 69.0 (6.6) years and 17.02 (11.0) %, and 54.0% were women. The median (IQR) RTD at 50 and 100 meters were 77 (31-467) and 509 (182-1802) vehicles/day, and the mean (SD) distance to the nearest petrol station of 962 (1317) meters. The average increase in DAI (95%CI) for participants in quintiles Q2-Q5 (vs Q1) of RTD at 50 meters was of 1.51 (0.50, 2.53), 0.98 (-0.05, 2.01), 2.20 (1.18, 3.21) and 1.98 (0.90, 3.05), respectively. Consistent findings were observed at 100 meters. By domains, most of the deficits accumulated with increased RTD were of a functional nature, although RTD at 50 meters was also associated with worse self-reported health, increased vitality problems and higher incidence of chronic morbidities. Living closer to a petrol station was associated with a higher incidence of functional impairments and chronic morbidities. CONCLUSIONS Exposure to nearby residential traffic is associated with accelerated trajectories of unhealthy ageing. Diminishing traffic pollution should become a priority intervention for adding healthy years to life in the old age.
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Affiliation(s)
- Sergio Gómez Del Río
- Department of Preventive Medicine, Hospital Central de la Cruz Roja San José y Santa Adela, Madrid, Spain
| | - Elena Plans-Beriso
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Rebeca Ramis
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
| | - Rosario Ortolá
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Roberto Pastor
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
| | - Mercedes Sotos-Prieto
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- IMDEA-Food Institute (CEI UAM+CSIC), Madrid, Spain
| | - Adela Castelló
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
| | - Rocío Olmedo Requena
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, Granada, Spain
| | - José Juan Jiménez Moleón
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, Granada, Spain
| | - Borja María Fernández Félix
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Alfonso Muriel
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS), Madrid, Spain
- Department of Nursery and Physiotherapy, Universidad de Alcalá, Madrid, Spain
| | - Marta Miret
- Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain
- Consortium for Biomedical Research in Mental Health (CIBER en Salud Mental - CIBERSAM), Madrid, Spain
| | - Jose Luis Ayuso Mateos
- Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain
- Consortium for Biomedical Research in Mental Health (CIBER en Salud Mental - CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitario de La Princesa, Madrid, Spain
| | - Yoon-Hyeong Choi
- School of Health and Environmental Science, College of Health Science, Korea University, Seoul, Korea
| | - Fernando Rodríguez-Artalejo
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- IMDEA-Food Institute (CEI UAM+CSIC), Madrid, Spain
| | - Pablo Fernández-Navarro
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.
| | - Esther García-Esquinas
- Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
- Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.
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Sanchez-Rodriguez L, Galvez-Fernandez M, Rojas-Benedicto A, Domingo-Relloso A, Amigo N, Redon J, Monleon D, Saez G, Tellez-Plaza M, Martin-Escudero JC, Ramis R. Traffic Density Exposure, Oxidative Stress Biomarkers and Plasma Metabolomics in a Population-Based Sample: The Hortega Study. Antioxidants (Basel) 2023; 12:2122. [PMID: 38136241 PMCID: PMC10740723 DOI: 10.3390/antiox12122122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Exposure to traffic-related air pollution (TRAP) generates oxidative stress, with downstream effects at the metabolic level. Human studies of traffic density and metabolomic markers, however, are rare. The main objective of this study was to evaluate the cross-sectional association between traffic density in the street of residence with oxidative stress and metabolomic profiles measured in a population-based sample from Spain. We also explored in silico the potential biological implications of the findings. Secondarily, we assessed the contribution of oxidative stress to the association between exposure to traffic density and variation in plasma metabolite levels. Traffic density was defined as the average daily traffic volume over an entire year within a buffer of 50 m around the participants' residence. Plasma metabolomic profiles and urine oxidative stress biomarkers were measured in samples from 1181 Hortega Study participants by nuclear magnetic resonance spectroscopy and high-performance liquid chromatography, respectively. Traffic density was associated with 7 (out of 49) plasma metabolites, including amino acids, fatty acids, products of bacterial and energy metabolism and fluid balance metabolites. Regarding urine oxidative stress biomarkers, traffic associations were positive for GSSG/GSH% and negative for MDA. A total of 12 KEGG pathways were linked to traffic-related metabolites. In a protein network from genes included in over-represented pathways and 63 redox-related candidate genes, we observed relevant proteins from the glutathione cycle. GSSG/GSH% and MDA accounted for 14.6% and 12.2% of changes in isobutyrate and the CH2CH2CO fatty acid moiety, respectively, which is attributable to traffic exposure. At the population level, exposure to traffic density was associated with specific urine oxidative stress and plasma metabolites. Although our results support a role of oxidative stress as a biological intermediary of traffic-related metabolic alterations, with potential implications for the co-bacterial and lipid metabolism, additional mechanistic and prospective studies are needed to confirm our findings.
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Affiliation(s)
- Laura Sanchez-Rodriguez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- Joint Research Institute-National School of Health (IMIENS), National Distance Education University, 28029 Madrid, Spain
| | - Marta Galvez-Fernandez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
| | - Ayelén Rojas-Benedicto
- Joint Research Institute-National School of Health (IMIENS), National Distance Education University, 28029 Madrid, Spain
- Department of Communicable Diseases, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain
- CIBER on Epidemiology and Public Health, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Nuria Amigo
- Biosfer Teslab, 43201 Reus, Spain;
- Department of Basic Medical Sciences, Universidad de Rovira i Virgili, 43007 Tarragona, Spain
| | - Josep Redon
- Institute for Biomedical Research, Hospital Clinic de Valencia (INCLIVA), 46010 Valencia, Spain
| | - Daniel Monleon
- Institute for Biomedical Research, Hospital Clinic de Valencia (INCLIVA), 46010 Valencia, Spain
| | - Guillermo Saez
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Dentistry, Clinical Analysis Service, Hospital Universitario Dr. Peset-FISABIO, Universitat de Valencia, 46020 Valencia, Spain;
| | - Maria Tellez-Plaza
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
| | - Juan Carlos Martin-Escudero
- Department of Internal Medicine, Hospital Universitario Rio Hortega, University of Valladolid, 47012 Valladolid, Spain;
| | - Rebeca Ramis
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- CIBER on Epidemiology and Public Health, Instituto de Salud Carlos III, 28029 Madrid, Spain
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3
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Calderon-Hernandez J, Jarquin-Yañez L, Reyes-Arreguin L, Diaz-Padilla LA, Gonzalez-Compean JL, Gonzalez-Montalvo P, Rivera-Gomez R, Villanueva-Toledo JR, Pech K, Arrieta O, Leal YA. Childhood acute lymphoblastic leukemia survival and spatial analysis of socio-environmental risks in Mexico. Front Oncol 2023; 13:1236942. [PMID: 37901312 PMCID: PMC10603203 DOI: 10.3389/fonc.2023.1236942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/22/2023] [Indexed: 10/31/2023] Open
Abstract
Background Acute lymphoblastic leukemia (ALL) etiology remains largely unknown; incidence patterns by age, sex, and geographical distribution suggest a potential environmental role. Aim To identify ALL clusters from four contrasting urban areas of Mexico and to characterize the sources of environmental carcinogens. Methods Hospital-based ALL cases (n = 443) diagnosed in children <19 years old from the Metropolitan Zones of Merida and San Luis Potosi, the State of Mexico, and Tijuana were analyzed (2015-2020). ALL cases were coded according to the International Classification of Diseases for Oncology. ALL clusters were identified by Kernel Density, and excess risk was estimated. Data of particulate matter ≤2.5 µm (PM2.5) concentrations measured by community-monitoring stations were analyzed. Geocoded datasets of benzene, polycyclic aromatic hydrocarbons, and PM2.5 sources were analyzed to characterize patterns of exposure in ALL clusters. Results The survival rate for ALL ranged from 61.5% to 78.6%. Seven ALL clusters with excess risk (RR 1.4-2.3, p < 0.05) were identified. The carcinogen sources included artisanal brick kilns, gas stations, cement works, carpentry, paint, and chemical manufacturing establishments. PM2.5 levels ranged from 15 µg/m3 to 37 µg/m3 among study areas. Conclusion ALL clusters were identified at the community level; the excess risk could be explained by small-scale carcinogen sources. The levels of PM2.5 in outdoor air ranged from 3 to 6 times above the World Health Organization (WHO) air quality guidelines. Healthcare providers must raise awareness of the increased risk of ALL in children living near sources of environmental carcinogens; cancer control and prevention strategies must be steered from a multi-sectoral and multi-action perspective to protect children's health.
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Affiliation(s)
- Jaqueline Calderon-Hernandez
- Facultad de Medicina/CIAAS, Universidad Autónoma de San Luis Potosi, San Luis Potosi, Mexico
- Global Public Health Program, Boston College, Boston, MA, United States
| | - Lizet Jarquin-Yañez
- Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT), Ciudad de México, Mexico
| | - Luis Reyes-Arreguin
- Facultad de Medicina/CIAAS, Universidad Autónoma de San Luis Potosi, San Luis Potosi, Mexico
| | - Luis A Diaz-Padilla
- Servicio de Oncología Pediátrica de la Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Ignacio García Téllez", Instituto Mexicano de Seguro Social (IMSS), Mérida, Yucatán, Mexico
| | - Jose Luis Gonzalez-Compean
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Unidad Tamaulipas, Victoria, Tamaulipas, Mexico
| | - Pablo Gonzalez-Montalvo
- Servicio de Oncología Pediátrica, Hospital O'Horán, Servicios de Salud de Yucatán/Facultad de Medicina, Universidad Autónoma de Yucatán, Yucatán, Mexico
| | - Rebeca Rivera-Gomez
- Facultad de Ciencias de la Salud, Universidad Autónoma de Baja California, Tijuana, Baja California, Mexico
- Comisión de Salud Fronteriza Mexico-Estados, Registro Poblacional de Cáncer de Tijuana BajaREG, Tijuana, Baja California, Mexico
| | - Jairo R Villanueva-Toledo
- Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT) - Fundación IMSS, A.C., Ciudad de México, Mexico
| | - Kristal Pech
- Departamento de Epidemiología del Instituto Nacional de Cancerología, Ciudad de México, Mexico
| | - Oscar Arrieta
- Coordinación del Registro Nacional de Cáncer del Instituto Nacional de Cancerología, Ciudad de México, Mexico
| | - Yelda A Leal
- Coordinación del Registro Nacional de Cáncer del Instituto Nacional de Cancerología, Ciudad de México, Mexico
- Registro Poblacional de Cáncer Mérida, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Ignacio García Téllez", Instituto Mexicano de Seguro Social (IMSS), Mérida, Yucatán, Mexico
- Centro Institucional de Capacitación y Registro de Cáncer, Coordinación de Investigación en Salud, Instituto Mexicano de Seguro Social (IMSS), Ciudad de México, Mexico
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Ojeda Sánchez C, García-Pérez J, Gómez-Barroso D, Domínguez-Castillo A, Pardo Romaguera E, Cañete A, Ortega-García JA, Ramis R. Exploring Urban Green Spaces' Effect against Traffic Exposure on Childhood Leukaemia Incidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2506. [PMID: 36767873 PMCID: PMC9915143 DOI: 10.3390/ijerph20032506] [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: 12/08/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Several environmental factors seem to be involved in childhood leukaemia incidence. Traffic exposure could increase the risk while urban green spaces (UGS) exposure could reduce it. However, there is no evidence how these two factors interact on this infant pathology. OBJECTIVES to evaluate how residential proximity to UGS could be an environmental protective factor against traffic exposure on childhood leukaemia incidence. METHODS A population-based case control study was conducted across thirty Spanish regions during the period 2000-2018. It included 2526 incident cases and 15,156, individually matched by sex, year-of-birth, and place-of-residence. Using the geographical coordinates of the participants' home residences, a 500 m proxy for exposure to UGS was built. Annual average daily traffic (AADT) was estimated for all types of roads 100 m near the children's residence. Odds ratios (ORs) and 95% confidence intervals (95% CIs), UGS, traffic exposure, and their possible interactions were calculated for overall childhood leukaemia, and the acute lymphoblastic (ALL) and acute myeloblastic leukaemia (AML) subtypes, with adjustment for socio-demographic covariates. RESULTS We found an increment of childhood leukaemia incidence related to traffic exposure, for every 100 AADT increase the incidence raised 1.1% (95% CI: 0.58-1.61%). UGS exposure showed an incidence reduction for the highest exposure level, Q5 (OR = 0.63; 95% CI = 0.54-0.72). Regression models with both traffic exposure and UGS exposure variables showed similar results but the interaction was not significant. CONCLUSIONS Despite their opposite effects on childhood leukaemia incidence individually, our results do not suggest a possible interaction between both exposures. This is the first study about the interaction of these two environmental factors; consequently, it is necessary to continue taking into account more individualized data and other possible environmental risk factors involved.
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Affiliation(s)
| | - Javier García-Pérez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), 28029 Madrid, Spain
- Centre for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain
| | - Diana Gómez-Barroso
- Centre for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain
- National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), 28029 Madrid, Spain
| | - Alejandro Domínguez-Castillo
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), 28029 Madrid, Spain
- Centre for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain
| | - Elena Pardo Romaguera
- Spanish Registry of Childhood Tumours (RETI-SEHOP), University of Valencia, 46010 Valencia, Spain
| | - Adela Cañete
- Spanish Registry of Childhood Tumours (RETI-SEHOP), University of Valencia, 46010 Valencia, Spain
| | - Juan Antonio Ortega-García
- Pediatric Environmental Health Speciality Unit, Department of Paediatrics, Environment and Human Health (EH2) Lab., Institute of Biomedical Research, IMIB-Arrixaca, Clinical University Hospital Virgen de la Arrixaca, 30120 Murcia, Spain
- European and Latin American Environment, Survival and Childhood Cancer Network (ENSUCHICA), 30120 Murcia, Spain
| | - Rebeca Ramis
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), 28029 Madrid, Spain
- Centre for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain
- European and Latin American Environment, Survival and Childhood Cancer Network (ENSUCHICA), 30120 Murcia, Spain
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