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Enregistrement W2074887116 · doi:10.5415/apallergy.2013.3.1.1

Allergies in Asia: are we facing an allergy epidemic?

2013· article· en· W2074887116 sur OpenAlexaboutno aff
Meera Thalayasingam, Bee Wah Lee

Notice bibliographique

RevueAsia Pacific Allergy · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAsthmaMedicineWesternizationChinaAllergyDemographyPrevalenceEnvironmental healthPopulationGeographyImmunologyEconomic growth

Résumé

récupéré en direct d'OpenAlex

Asia is the world’s most populous region consisting of highly diverse populations with respect to ancestry and cultural background. It may not be obvious at the outset, but this region is probably an important resource for lessons in allergic disorders. With growing affluence and westernization, the global trends in allergic diseases have increased at tandem, albeit at different rates. In the 1960’s to 1990’s, several populations [1] including Asian communities [2] have documented increases in asthma prevalence, particularly in children. The International Study of Asthma and Allergies in Childhood (ISAAC), is a highly quoted research initiative that has provided us with a standardized means of comparing global asthma, allergic rhinitis and eczema prevalence. The Phase One ISAAC studies showed us that none of the Asian countries were ranked amongst the top in terms of asthma symptom prevalence [3]. Instead, the United Kingdom, New Zealand, Australia, Republic of Ireland and Canada had the highest prevalence for asthma symptoms. Japan, Thailand, Hong Kong, Philippines, Singapore and Malaysia were ranked midway. Most interestingly, China had one of the lowest prevalence and Indonesia was ranked the lowest for asthma symptom prevalence. The ISAAC Phase 3 study was a repeat of Phase 1 study performed 7 to 10 years later. The data showed that asthma prevalence had plateaued in several populations, with modest increases in some centers. Only 4 of 8 Asia Pacific countries recorded an increase in asthma symptom prevalence, and increases for Hong Kong, Japan and Taiwan were very modest (<1%) [4]. Taken together, the ISAAC Phase 1 and 3 data indicate that childhood asthma prevalence in Asia is likely to have stabilized and would not reach the proportions seen in the western world. These geographical differences in asthma prevalence in children appear to be more related to environment rather than genetics. Migration studies of Asians settling in Australia have shown that Asians born in Australia assume the rates of asthma similar to the local population [5]. Within Asia, Cantonese Chinese children born in Hong Kong have higher prevalence of asthma symptoms compared to ethnically similar children born in the nearby city of Canton China [6]. Likewise, a similar picture is emerging for food epidemiology in Asia. It does not appear likely that Asia will witness a similar surge in peanut and tree nut allergy [7] as it has been documented in North America, United Kingdom and Australia [8]. It is therefore tempting to speculate that the environmental influences in Asia are less conducive for the development of allergic diseases in general. Prospective comparative studies between populations tracking environmental exposures pari passu with serial evaluation of immunological responses may provide clues as to the protective factors in our environment, possibly similar in terms of the protective environment shown in the farming studies of Europe. However despite the relatively lower prevalence of food allergy compared to the West some peculiarities exist and warrant further exploration. Specifically the predominance of shellfish allergy and its varied presentation from isolated oral symptoms akin to pollen allergy syndrome, to life threatening anaphylaxis in certain individuals is intriguing [9]. Further, the emergence of wheat allergy in Korea, Japan and Thailand suggests unique environmental exposures through cultural and cooking practices which are country specific. With economic progress, the future for academic science in Asia is bright. It will be through innovative research that will deliver better understanding of these observations, and ultimately improved strategies for the management of allergic disorders.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,330
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,023
Tête enseignante GPT0,269
Écart entre enseignants0,246 · 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
GenreEmpirique

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

En bref

Citations8
Publié2013
Routes d'admission1
Résumé présentoui

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