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Enregistrement W2621844397 · doi:10.1016/s2542-5196(17)30042-6

Air pollution and urbanicity: common risk factors for dementia and schizophrenia?

2017· letter· en· W2621844397 sur OpenAlexaboutno aff
Luigi Attademo, Francesco Bernardini

Notice bibliographique

RevueThe Lancet Planetary Health · 2017
Typeletter
Langueen
DomaineEnvironmental Science
ThématiqueAir Quality and Health Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnvironmental healthAir pollutionMedicineDementiaDiseasePopulationCohortSchizophrenia (object-oriented programming)Air quality indexPollutionGerontologyPsychiatryGeographyPathology

Résumé

récupéré en direct d'OpenAlex

Environmental pollution is a global problem and the subject of increasing worldwide public health concern.1WHOWHO global urban ambient air pollution database (update 2016). 2016http://www.who.int/phe/health_topics/outdoorair/databases/cities/en/Google Scholar In particular, air pollution is regarded as the largest single environmental risk to health. More than 80% of people living in urban areas that monitor air pollution are exposed to air quality levels that exceed the WHO limits, and all regions of the world are affected. Declines in urban air quality increase the risk of cerebrovascular accidents, coronary artery disease, lung carcinoma, and chronic and acute respiratory diseases (eg, asthma, obstructive lung disease, and acute lower respiratory infections). Associations between air pollution and central nervous system diseases have also been shown,2Block ML Elder A Auten RL et al.The outdoor air pollution and brain health workshop.Neurotoxicology. 2012; 33: 972-984Crossref PubMed Scopus (373) Google Scholar but we believe that relatively little attention has been given to the possible role of pollution as a risk factor for neurodevelopmental (eg, schizophrenia) and neurodegenerative (eg, dementia) diseases. Therefore, we read with great interest the articles by Chen and colleagues3Chen H Kwong JC Copes R et al.Living near major roads and the incidence of dementia, Parkinson's disease, and multiple sclerosis: a population-based cohort study.Lancet. 2017; 389: 718-726Summary Full Text Full Text PDF PubMed Scopus (498) Google Scholar in The Lancet and by Gao and colleagues in European Psychiatry.4Gao Q Xu Q Guo X Fan H Zhu H Particulate matter air pollution associated with hospital admissions for mental disorders: a time-series study in Beijing, China.Eur Psychiatry. 2017; (published online April 7.)http://doi.org/10.1016/j.eurpsy.2017.02.492Google Scholar The former was a large population-based cohort study conducted in Ontario, Canada, whose findings showed that urban residents, especially individuals living close to heavy traffic roads had an increased incidence of dementia. Notably, long-term exposure to fine particulate matter (≤2·5 μm in diameter; PM2·5) and nitrogen dioxide was positively associated with dementia. The latter study was a time-series analysis done in Beijing, China, investigating the acute effects of particulate matter on hospital admissions for mental disorders. The authors reported that elevated levels of PM10 (particulate matter ≤10 μm in diameter), PM2·5, and PMC (2·5–10 μm in diameter), were significantly associated with a small increase in hospital admissions for schizophrenia. Schizophrenia evidently has a multifactorial (genetic and environmental) aetiology, and is a complex, and clinically heterogeneous neurodevelopmental syndrome, associated with variable functional impairments in social, emotional, perceptual, and cognitive domains.5Owen MJ Sawa A Mortensen PB Schizophrenia.Lancet. 2016; 388: 86-97Summary Full Text Full Text PDF PubMed Scopus (957) Google Scholar A biological association between schizophrenia and dementia has been debated for a long time, since Emil Kraepelin named schizophrenia as dementia praecox (premature dementia). The question of whether cognitive impairment is a core feature of schizophrenia is still a matter of debate. Evidence of deficits in multiple cognitive domains such as memory, attention, and visuospatial orientation, is noted in individuals with schizophrenia.6Ribe AR Laursen TM Charles M et al.Long-term risk of dementia in persons with schizophrenia. A Danish population-based cohort study.JAMA Psychiatry. 2015; 72: 1095-1101Crossref PubMed Scopus (77) Google Scholar, 7Green MF Cognitive impairment and functional outcome in schizophrenia and bipolar disorder.J Clin Psychiatry. 2006; 67: 3-8PubMed Google Scholar Patients with schizophrenia show different degrees of cognitive impairment, and have poorer performance than healthy counterparts. Not infrequently, impairments in cognition can manifest years before the first psychotic episode, and usually cognitive dysfunctions are chronic.5Owen MJ Sawa A Mortensen PB Schizophrenia.Lancet. 2016; 388: 86-97Summary Full Text Full Text PDF PubMed Scopus (957) Google Scholar More recently, it has been proposed that schizophrenia could be a syndrome of accelerated ageing, suggesting that physiological abnormalities associated with schizophrenia could contribute to the increased mortality of individuals affected by this disorder.8Kirkpatrick B Messias E Harvey PD Fernandez-Egea E Bowie CR Is schizophrenia a syndrome of accelerated aging?.Schizophr Bull. 2008; 34: 1024-1032Crossref PubMed Scopus (212) Google Scholar It has been furthermore shown that patients with schizophrenia have a substantially increased relative risk of dementia that could not be explained by established dementia risk factors, such as cardiovascular disease and diabetes.6Ribe AR Laursen TM Charles M et al.Long-term risk of dementia in persons with schizophrenia. A Danish population-based cohort study.JAMA Psychiatry. 2015; 72: 1095-1101Crossref PubMed Scopus (77) Google Scholar A comprehensive hypothetical model may be explained by the presence of a progressive, neurodegenerative component in addition to a neurodevelopmental component in subjects with schizophrenia.5Owen MJ Sawa A Mortensen PB Schizophrenia.Lancet. 2016; 388: 86-97Summary Full Text Full Text PDF PubMed Scopus (957) Google Scholar The pathophysiological factors of the link between schizophrenia and dementia remain unclear. Urbanicity (being born or raised in cities) has been commonly described as one of the risk factors for schizophrenia and other non-affective psychosis, and pollution exposure (eg, exposure to xenobiotic heavy metals such as lead and cadmium, constituents of air pollution such as particulate matter, and nitrogen and sulphur oxides, organic solvents, and other constituents of environmental pollution) could potentially mediate the association between urbanicity and elevated risk, at least in part.9Attademo L Bernardini F Garinella R Compton MT Environmental pollution and risk of psychotic disorders: a review of the science to date.Schizophr Res. 2017; 181: 55-59Summary Full Text Full Text PDF PubMed Scopus (95) Google Scholar In our opinion, environmental pollution should be considered as a common risk factor for both dementia and schizophrenia. Studies are warranted to test this hypothesis, and if confirmed, the clinical implications could be of great importance for public and mental health. Future research, including large population-based studies, is likely to focus on investigation of the effects of specific components of environmental pollution on increased risk for mental, neurodevelopmental, and neurodegenerative diseases in human beings, with the aim to plan possible prevention strategies. Policy measures, regulatory interventions, and aggressive air quality management programmes are needed to reduce current air pollution levels and the associated burden of disease, so bringing substantial health benefits across a broad spectrum of disease.10Cohen AJ Brauer M Burnett R et al.Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015.Lancet. 2017; (published online April 10.)http://dx.doi.org/10.1016/S0140-6736(17)30505-6Google Scholar We declare no competing interests.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,348
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,059
Tête enseignante GPT0,304
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations34
Publié2017
Routes d'admission1
Résumé présentoui

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