Exposure to residential traffic and trajectories of unhealthy ageing: results from a nationally-representative cohort of older adults
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. Meth...
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Published in | Environmental health Vol. 23; no. 1; pp. 15 - 10 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
01.02.2024
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1476-069X 1476-069X |
DOI | 10.1186/s12940-024-01057-3 |
Cover
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.
Key message
No previous study has evaluated the influence of traffic exposure on ageing trajectories.
Our results suggest that higher residential exposure to traffic is associated with increased functional deterioration in older adults.
Diminishing traffic pollution should become a priority intervention for adding healthy years to life in the old age. |
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AbstractList | 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. 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.BACKGROUNDTraffic 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.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.METHODSNationally 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.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.RESULTSAt 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.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.CONCLUSIONSExposure 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. 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. Key message No previous study has evaluated the influence of traffic exposure on ageing trajectories. Our results suggest that higher residential exposure to traffic is associated with increased functional deterioration in older adults. Diminishing traffic pollution should become a priority intervention for adding healthy years to life in the old age. BackgroundTraffic 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.MethodsNationally 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.ResultsAt 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.ConclusionsExposure 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. 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. Nationally representative population-based cohort with 3,126 community-dwelling individuals aged [greater than or equal to]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. 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. 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. 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 [greater than or equal to]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. Keywords: Traffic pollution, Unhealthy ageing, Frailty 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. 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. 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. 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. No previous study has evaluated the influence of traffic exposure on ageing trajectories. Our results suggest that higher residential exposure to traffic is associated with increased functional deterioration in older adults. Diminishing traffic pollution should become a priority intervention for adding healthy years to life in the old age. |
ArticleNumber | 15 |
Audience | Academic |
Author | Miret, Marta Mateos, Jose Luis Ayuso Castelló, Adela Plans-Beriso, Elena Moleón, José Juan Jiménez Fernández-Navarro, Pablo Requena, Rocío Olmedo del Río, Sergio Gómez Sotos-Prieto, Mercedes Choi, Yoon-Hyeong Ramis, Rebeca García-Esquinas, Esther Rodríguez-Artalejo, Fernando Ortolá, Rosario Pastor, Roberto Félix, Borja María Fernández Muriel, Alfonso |
Author_xml | – sequence: 1 givenname: Sergio Gómez surname: del Río fullname: del Río, Sergio Gómez organization: Department of Preventive Medicine, Hospital Central de la Cruz Roja San José y Santa Adela – sequence: 2 givenname: Elena surname: Plans-Beriso fullname: Plans-Beriso, Elena organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health – sequence: 3 givenname: Rebeca surname: Ramis fullname: Ramis, Rebeca organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP) – sequence: 4 givenname: Rosario surname: Ortolá fullname: Ortolá, Rosario organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid – sequence: 5 givenname: Roberto surname: Pastor fullname: Pastor, Roberto organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP) – sequence: 6 givenname: Mercedes surname: Sotos-Prieto fullname: Sotos-Prieto, Mercedes organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Department of Environmental Health, Harvard T.H. Chan School of Public Health, IMDEA-Food Institute (CEI UAM+CSIC) – sequence: 7 givenname: Adela surname: Castelló fullname: Castelló, Adela organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP) – sequence: 8 givenname: Rocío Olmedo surname: Requena fullname: Requena, Rocío Olmedo organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Instituto de Investigación Biosanitaria ibs. GRANADA – sequence: 9 givenname: José Juan Jiménez surname: Moleón fullname: Moleón, José Juan Jiménez organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Instituto de Investigación Biosanitaria ibs. GRANADA – sequence: 10 givenname: Borja María Fernández surname: Félix fullname: Félix, Borja María Fernández organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS) – sequence: 11 givenname: Alfonso surname: Muriel fullname: Muriel, Alfonso organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Clinical Biostatistics Unit, Hospital Ramón y Cajal (IRYCIS), Department of Nursery and Physiotherapy, Universidad de Alcalá – sequence: 12 givenname: Marta surname: Miret fullname: Miret, Marta organization: Department of Psychiatry, Universidad Autónoma de Madrid, Consortium for Biomedical Research in Mental Health (CIBER en Salud Mental - CIBERSAM) – sequence: 13 givenname: Jose Luis Ayuso surname: Mateos fullname: Mateos, Jose Luis Ayuso organization: Department of Psychiatry, Universidad Autónoma de Madrid, Consortium for Biomedical Research in Mental Health (CIBER en Salud Mental - CIBERSAM), Department of Psychiatry, Hospital Universitario de La Princesa – sequence: 14 givenname: Yoon-Hyeong surname: Choi fullname: Choi, Yoon-Hyeong organization: School of Health and Environmental Science, College of Health Science, Korea University – sequence: 15 givenname: Fernando surname: Rodríguez-Artalejo fullname: Rodríguez-Artalejo, Fernando organization: Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, IMDEA-Food Institute (CEI UAM+CSIC) – sequence: 16 givenname: Pablo surname: Fernández-Navarro fullname: Fernández-Navarro, Pablo email: pfernandezn@isciii.es organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP) – sequence: 17 givenname: Esther surname: García-Esquinas fullname: García-Esquinas, Esther email: egarciag@isciii.es organization: Department of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Consortium for Biomedical Research in Epidemiology, Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP) |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38303067$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_envint_2024_108570 |
Cites_doi | 10.1016/j.annepidem.2013.05.001 10.3389/fphar.2018.01162 10.1093/gerona/glac022 10.3233/JAD-200483 10.1016/j.envint.2020.105876 10.1016/j.jamda.2018.12.023 10.1016/S2542-5196(22)00001-8 10.1289/ehp.0800362 10.1016/S2542-5196(20)30275-8 10.18632/oncotarget.12903 10.1136/bmj.f7412 10.1007/s00420-021-01767-y 10.1289/EHP5859 10.1161/STROKEAHA.115.009913 10.1016/j.envint.2022.107262 10.1097/EDE.0000000000000267 10.1289/ehp.1509824 10.1016/j.cjca.2016.03.020 10.1016/j.healthplace.2020.102362 10.3390/ijerph16101790 10.1038/s41569-018-0064-2 10.3390/ijerph19148611 10.3233/JAD-200377 10.1289/EHP8716 10.1186/1476-069X-8-41 10.1097/EDE.0000000000001249 10.3390/ijerph15020379 10.1093/ije/dyaa228 10.1289/EHP9737 10.1016/j.envpol.2018.01.001 10.1111/j.1532-5415.2012.04195.x 10.1016/j.envres.2020.110105 10.1016/j.envres.2021.111723 10.1016/j.gaceta.2019.10.008 10.3390/ijerph19095232 10.3390/ijerph15112593 10.1093/eurheartj/ehx081 10.1016/j.envint.2015.11.007 10.1016/S2542-5196(21)00277-1 10.1161/JAHA.119.013021 10.1016/j.envint.2018.08.056 10.1007/s11356-019-06824-1 10.1016/j.envpol.2020.114707 10.1016/j.envpol.2022.120096 10.1164/rccm.200611-1627OC 10.3390/ijerph182211796 10.1289/EHP7089 |
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DOI | 10.1186/s12940-024-01057-3 |
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References | 1057_CR5 P Assavanopakun (1057_CR50) 2022; 312 G Cesaroni (1057_CR6) 2014; 348 I Duque (1057_CR33) 2021; 35 S Shin (1057_CR18) 2020; 9 M Hoxha (1057_CR2) 2009; 8 BL Tan (1057_CR37) 2018; 9 1057_CR1 R Nußbaum (1057_CR46) 2020; 128 A Hajat (1057_CR39) 2015; 26 H Scheers (1057_CR9) 2015; 46 H Boogaard (1057_CR16) 2022; 164 MJ Zare Sakhvidi (1057_CR12) 2022; 6 A Mazzei (1057_CR32) 2022; 95 S Zhang (1057_CR45) 2021; 5 J Dang (1057_CR44) 2018; 15 CK Ward-Caviness (1057_CR3) 2016; 7 J Shin (1057_CR25) 2021; 18 M Yang (1057_CR8) 2020; 27 Z Li (1057_CR42) 2020; 191 L Ferrucci (1057_CR36) 2018; 15 E García-Esquinas (1057_CR29) 2019; 20 B Hoffmann (1057_CR38) 2009; 117 E García-Esquinas (1057_CR27) 2021; 50 V Myers (1057_CR23) 2013; 23 C Ojeda Sánchez (1057_CR35) 2022; 19 BY Yang (1057_CR7) 2018; 235 J Weuve (1057_CR10) 2021; 129 MV Canto (1057_CR30) 2022; 19 O Raaschou-Nielsen (1057_CR4) 2016; 87 JC Chen (1057_CR48) 2017; 193 L Tzivian (1057_CR21) 2016; 124 M Stafoggia (1057_CR15) 2022; 6 K Rockwood (1057_CR28) 2016; 32 M Wang (1057_CR49) 1987; 2020 P Fu (1057_CR13) 2020; 77 E van Kempen (1057_CR17) 2018; 15 A Haghani (1057_CR47) 2020; 76 KJ Chuang (1057_CR40) 2007; 176 P Orellano (1057_CR14) 2020; 142 C Ojeda Sánchez (1057_CR34) 2021; 202 Y Yu (1057_CR20) 2020; 31 GA Wellenius (1057_CR11) 2012; 60 KB Fuks (1057_CR19) 2019; 16 S Tripathy (1057_CR41) 2021; 129 I Tamayo-Uria (1057_CR31) 2018; 121 T Münzel (1057_CR43) 2017; 38 L Glaubitz (1057_CR22) 2022; 130 K Hu (1057_CR24) 2020; 64 YF Guo (1057_CR26) 2022; 77 |
References_xml | – volume: 23 start-page: 395 issue: 7 year: 2013 ident: 1057_CR23 publication-title: Ann Epidemiol doi: 10.1016/j.annepidem.2013.05.001 – volume: 9 start-page: 1162 year: 2018 ident: 1057_CR37 publication-title: Front Pharmacol doi: 10.3389/fphar.2018.01162 – volume: 77 start-page: 970 issue: 5 year: 2022 ident: 1057_CR26 publication-title: J Gerontol Ser A doi: 10.1093/gerona/glac022 – volume: 77 start-page: 701 issue: 2 year: 2020 ident: 1057_CR13 publication-title: J Alzheimers Dis doi: 10.3233/JAD-200483 – volume: 142 start-page: 105876 year: 2020 ident: 1057_CR14 publication-title: Environ Int. doi: 10.1016/j.envint.2020.105876 – ident: 1057_CR5 – ident: 1057_CR1 – volume: 20 start-page: 710 issue: 6 year: 2019 ident: 1057_CR29 publication-title: J Am Med Dir Assoc doi: 10.1016/j.jamda.2018.12.023 – volume: 6 start-page: e219 issue: 3 year: 2022 ident: 1057_CR12 publication-title: Lancet Planet Health doi: 10.1016/S2542-5196(22)00001-8 – volume: 117 start-page: 1302 issue: 8 year: 2009 ident: 1057_CR38 publication-title: Environ Health Perspect doi: 10.1289/ehp.0800362 – volume: 5 start-page: e39 issue: 1 year: 2021 ident: 1057_CR45 publication-title: Lancet Planet Health. doi: 10.1016/S2542-5196(20)30275-8 – volume: 7 start-page: 74510 issue: 46 year: 2016 ident: 1057_CR3 publication-title: Oncotarget doi: 10.18632/oncotarget.12903 – volume: 348 start-page: f7412 issue: jan21 3 year: 2014 ident: 1057_CR6 publication-title: BMJ doi: 10.1136/bmj.f7412 – volume: 95 start-page: 927 issue: 5 year: 2022 ident: 1057_CR32 publication-title: Int Arch Occup Environ Health doi: 10.1007/s00420-021-01767-y – volume: 128 start-page: 67012 issue: 6 year: 2020 ident: 1057_CR46 publication-title: Environ Health Perspect doi: 10.1289/EHP5859 – volume: 46 start-page: 3058 issue: 11 year: 2015 ident: 1057_CR9 publication-title: Stroke doi: 10.1161/STROKEAHA.115.009913 – volume: 164 start-page: 107262 year: 2022 ident: 1057_CR16 publication-title: Environ Int doi: 10.1016/j.envint.2022.107262 – volume: 26 start-page: 310 issue: 3 year: 2015 ident: 1057_CR39 publication-title: Epidemiol Camb Mass doi: 10.1097/EDE.0000000000000267 – volume: 124 start-page: 1361 issue: 9 year: 2016 ident: 1057_CR21 publication-title: Environ Health Perspect doi: 10.1289/ehp.1509824 – volume: 32 start-page: 1046 issue: 9 year: 2016 ident: 1057_CR28 publication-title: Can J Cardiol doi: 10.1016/j.cjca.2016.03.020 – volume: 64 start-page: 102362 year: 2020 ident: 1057_CR24 publication-title: Health Place doi: 10.1016/j.healthplace.2020.102362 – volume: 16 start-page: 1790 issue: 10 year: 2019 ident: 1057_CR19 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph16101790 – volume: 15 start-page: 505 issue: 9 year: 2018 ident: 1057_CR36 publication-title: Nat Rev Cardiol doi: 10.1038/s41569-018-0064-2 – volume: 19 start-page: 8611 issue: 14 year: 2022 ident: 1057_CR30 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph19148611 – volume: 76 start-page: 773 issue: 3 year: 2020 ident: 1057_CR47 publication-title: J Alzheimers Dis doi: 10.3233/JAD-200377 – volume: 129 start-page: 096001 issue: 9 year: 2021 ident: 1057_CR10 publication-title: Environ Health Perspect doi: 10.1289/EHP8716 – volume: 8 start-page: 41 year: 2009 ident: 1057_CR2 publication-title: Environ Health Glob Access Sci Source doi: 10.1186/1476-069X-8-41 – volume: 31 start-page: 771 issue: 6 year: 2020 ident: 1057_CR20 publication-title: Epidemiol Camb Mass. doi: 10.1097/EDE.0000000000001249 – volume: 15 start-page: 379 issue: 2 year: 2018 ident: 1057_CR17 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph15020379 – volume: 50 start-page: 852 issue: 3 year: 2021 ident: 1057_CR27 publication-title: Int J Epidemiol doi: 10.1093/ije/dyaa228 – volume: 130 start-page: 97007 issue: 9 year: 2022 ident: 1057_CR22 publication-title: Environ Health Perspect doi: 10.1289/EHP9737 – volume: 235 start-page: 576 year: 2018 ident: 1057_CR7 publication-title: Environ Pollut doi: 10.1016/j.envpol.2018.01.001 – volume: 60 start-page: 2075 issue: 11 year: 2012 ident: 1057_CR11 publication-title: J Am Geriatr Soc doi: 10.1111/j.1532-5415.2012.04195.x – volume: 191 start-page: 110105 year: 2020 ident: 1057_CR42 publication-title: Environ Res doi: 10.1016/j.envres.2020.110105 – volume: 202 start-page: 111723 year: 2021 ident: 1057_CR34 publication-title: Environ Res doi: 10.1016/j.envres.2021.111723 – volume: 35 start-page: 113 issue: 2 year: 2021 ident: 1057_CR33 publication-title: Gac Sanit doi: 10.1016/j.gaceta.2019.10.008 – volume: 19 start-page: 5232 issue: 9 year: 2022 ident: 1057_CR35 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph19095232 – volume: 193 start-page: 1 year: 2017 ident: 1057_CR48 publication-title: Res Rep Health Eff Inst – volume: 15 start-page: 2593 issue: 11 year: 2018 ident: 1057_CR44 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph15112593 – volume: 38 start-page: 2838 issue: 37 year: 2017 ident: 1057_CR43 publication-title: Eur Heart J doi: 10.1093/eurheartj/ehx081 – volume: 87 start-page: 66 year: 2016 ident: 1057_CR4 publication-title: Environ Int doi: 10.1016/j.envint.2015.11.007 – volume: 6 start-page: e9 issue: 1 year: 2022 ident: 1057_CR15 publication-title: Lancet Planet Health doi: 10.1016/S2542-5196(21)00277-1 – volume: 9 start-page: e013021 issue: 6 year: 2020 ident: 1057_CR18 publication-title: J Am Heart Assoc doi: 10.1161/JAHA.119.013021 – volume: 121 start-page: 332 year: 2018 ident: 1057_CR31 publication-title: Environ Int doi: 10.1016/j.envint.2018.08.056 – volume: 27 start-page: 798 issue: 1 year: 2020 ident: 1057_CR8 publication-title: Environ Sci Pollut Res doi: 10.1007/s11356-019-06824-1 – volume: 2020 start-page: 114707 issue: 264 year: 1987 ident: 1057_CR49 publication-title: Environ Pollut Barking Essex doi: 10.1016/j.envpol.2020.114707 – volume: 312 start-page: 120096 year: 2022 ident: 1057_CR50 publication-title: Environ Pollut doi: 10.1016/j.envpol.2022.120096 – volume: 176 start-page: 370 issue: 4 year: 2007 ident: 1057_CR40 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.200611-1627OC – volume: 18 start-page: 11796 issue: 22 year: 2021 ident: 1057_CR25 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph182211796 – volume: 129 start-page: 57007 issue: 5 year: 2021 ident: 1057_CR41 publication-title: Environ Health Perspect doi: 10.1289/EHP7089 |
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Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory,... Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory,... Background Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory,... BackgroundTraffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory,... No previous study has evaluated the influence of traffic exposure on ageing trajectories. Our results suggest that higher residential exposure to traffic is... Abstract Background Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased... |
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SubjectTerms | Age Aging Aging (biology) Aging (natural) Biomarkers Body mass index Cardiovascular disease Cardiovascular diseases Chronic diseases Chronic illnesses City traffic Cognitive ability Diabetes Earth and Environmental Science Environment Environmental aspects Environmental Health Exercise Exposure Gasoline Health aspects Hypertension Lifestyles Mean Measuring instruments Occupational Medicine/Industrial Medicine Older people Outdoor air quality Physiological aspects Population Probability Public Health Questionnaires Residential density Risk factors Service stations Structural models Traffic congestion Traffic pollution, Unhealthy ageing, Frailty Traffic volume Variables |
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Title | Exposure to residential traffic and trajectories of unhealthy ageing: results from a nationally-representative cohort of older adults |
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