The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Long-Term Air Pollution and Traffic Noise Exposures and Mild Cognitive Impairment in Older Adults: A Cross-Sectional Analysis of the Heinz Nixdorf Recall Study
Open accessAbstract
BACKGROUND: Mild cognitive impairment (MCI) describes the intermediate state between normal cognitive aging and dementia. Adverse effects of air pollution (AP) on cognitive functions have been proposed, but investigations of simultaneous exposure to noise are scarce. OBJECTIVES: We analyzed the cross-sectional associations of long-term exposure to AP and traffic noise with overall MCI and amnestic (aMCI) and nonamnestic (naMCI) MCI. METHODS: At the second examination of the population-based Heinz Nixdorf Recall study, cognitive assessment was completed in 4,086 participants who were 50-80 years old. Of these, 592 participants were diagnosed as having MCI (aMCI, n = 309; naMCI, n = 283) according to previously published criteria using five neuropsychological subtests. We assessed long-term residential concentrations for size-fractioned particulate matter (PM) and nitrogen oxides with land use regression, and for traffic noise [weighted 24-hr (LDEN) and night-time (LNIGHT) means]. Logistic regression models adjusted for individual risk factors were calculated to estimate the association of environmental exposures with MCI in single- and two-exposure models. RESULTS: Most air pollutants and traffic noise were associated with overall MCI and aMCI. For example, an interquartile range increase in PM2.5 and a 10 A-weighted decibel [dB(A)] increase in LDEN were associated with overall MCI as follows [odds ratio (95% confidence interval)]: 1.16 (1.05, 1.27) and 1.40 (1.03, 1.91), respectively, and with aMCI as follows: 1.22 (1.08, 1.38) and 1.53 (1.05, 2.24), respectively. In two-exposure models, AP and noise associations were attenuated [e.g., for aMCI, PM2.5 1.13 (0.98, 1.30) and LDEN 1.46 (1.11, 1.92)]. CONCLUSIONS: Long-term exposures to air pollution and traffic noise were positively associated with MCI, mainly with the amnestic subtype. CITATION: Tzivian L, Dlugaj M, Winkler A, Weinmayr G, Hennig F, Fuks KB, Vossoughi M, Schikowski T, Weimar C, Erbel R, Jöckel KH, Moebus S, Hoffmann B, on behalf of the Heinz Nixdorf Recall study Investigative Group. 2016. Long-term air pollution and traffic noise exposures and mild cognitive impairment in older adults: a cross-sectional analysis of the Heinz Nixdorf Recall Study. Environ Health Perspect 124:1361-1368; http://dx.doi.org/10.1289/ehp.1509824.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
The global prevalence of dementia: a systematic review and metaanalysis.
Prince, M., Bryce, R., Albanese, E., Wimo, A., Ribeiro, W., & Ferri, C. P. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.11.007 · Cited by 4,941
The outdoor air pollution and brain health workshop
Block, M. L., Elder, A., Auten, R. L., Bilbo, S. D., Chen, H., Chen, J.-C., Cory-Slechta, D. A., Costa, D., Diaz-Sanchez, D., Dorman, D. C., et al. (2012) · NeuroToxicology · doi:10.1016/j.neuro.2012.08.014 · Cited by 539
Levesque, S., Taetzsch, T., Lull, M. E., Kodavanti, U., Stadler, K., Wagner, A., Johnson, J. A., Duke, L., Kodavanti, P., Surace, M. J., et al. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002986 · Cited by 371
Ultrafine Particles in the Urban Air: To the Respiratory Tract--And Beyond?
Oberdörster, G., & Utell, M. J. (2002) · Environmental Health Perspectives · doi:10.1289/ehp.110-a440 · Cited by 304
Loop, M. S., Kent, S. T., Al-Hamdan, M. Z., Crosson, W. L., Estes, S. M., Estes, M. G., Quattrochi, D. A., Hemmings, S. N., Wadley, V. G., & McClure, L. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075001 · Cited by 99
Cited by
Chen, H., Kwong, J. C., Copes, R., Tu, K., Villeneuve, P. J., van Donkelaar, A., Hystad, P., Martin, R. V., Murray, B. J., Jessiman, B., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32399-6 · Cited by 776
Crous-Bou, M., Gascon, M., Gispert, J. D., Cirach, M., Sánchez-Benavides, G., Falcon, C., Arenaza-Urquijo, E. M., Gotsens, X., Fauria, K., Sunyer, J., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.105546 · Cited by 145
Tzivian, L., Jokisch, M., Winkler, A., Weimar, C., Hennig, F., Sugiri, D., Soppa, V. J., Dragano, N., Erbel, R., Jöckel, K.-H., et al. (2017) · Environment International · doi:10.1016/j.envint.2017.03.018 · Cited by 103
Self-citationRoad traffic noise, air pollution, and risk of dementia – results from the Betula project
Andersson, J., Oudin, A., Sundström, A., Forsberg, B., Adolfsson, R., & Nordin, M. (2018) · Environmental Research · doi:10.1016/j.envres.2018.06.008 · Cited by 99
Yao, Y., Lv, X., Qiu, C., Li, J., Wu, X., Zhang, H., Yue, D., Liu, K., Eshak, E. S., Lorenz, T., et al. (2022) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(22)00004-6 · Cited by 96
Tan, J., Li, N., Wang, X., Chen, G., Yan, L., Wang, L., Zhao, Y., Li, S., & Guo, Y. (2021) · The Innovation · doi:10.1016/j.xinn.2021.100147 · Cited by 40
Tham, R., & Schikowski, T. (2021) · Journal of Alzheimer’s Disease · doi:10.3233/jad-200813 · Cited by 29
Self-citation
Metadata
- Authors
- Tzivian, L., Dlugaj, M., Winkler, A., Weinmayr, G., Hennig, F., Fuks, K. B., Vossoughi, M., Schikowski, T., Weimar, C., Erbel, R., Jöckel, K.-H., Moebus, S., Hoffmann, B., & on behalf of the Heinz Nixdorf Recall study Investigative Group
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-09
- Volume
- 124
- Issue
- 9
- Pages
- 1361-1368
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- OpenAlex
- W2404133692
- Cited by
- 207
- References
- 6
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.