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 inEnvironmental health Vol. 23; no. 1; pp. 15 - 10
Main Authors del Río, Sergio Gómez, Plans-Beriso, Elena, Ramis, Rebeca, Ortolá, Rosario, Pastor, Roberto, Sotos-Prieto, Mercedes, Castelló, Adela, Requena, Rocío Olmedo, Moleón, José Juan Jiménez, Félix, Borja María Fernández, Muriel, Alfonso, Miret, Marta, Mateos, Jose Luis Ayuso, Choi, Yoon-Hyeong, Rodríguez-Artalejo, Fernando, Fernández-Navarro, Pablo, García-Esquinas, Esther
Format Journal Article
LanguageEnglish
Published London BioMed Central 01.02.2024
BioMed Central Ltd
BMC
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ISSN1476-069X
1476-069X
DOI10.1186/s12940-024-01057-3

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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.
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)
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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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Issue 1
Keywords Traffic pollution, Unhealthy ageing, Frailty
Language English
License 2024. The Author(s).
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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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Snippet Background 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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StartPage 15
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
URI https://link.springer.com/article/10.1186/s12940-024-01057-3
https://www.ncbi.nlm.nih.gov/pubmed/38303067
https://www.proquest.com/docview/2925636811
https://www.proquest.com/docview/2922453002
https://pubmed.ncbi.nlm.nih.gov/PMC10832178
https://doaj.org/article/3bee8eff4fd3484e8aad7cfa2d684136
Volume 23
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