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Enregistrement W1514067790 · doi:10.1111/j.1532-5415.2011.03397.x

ARE YOU CONSCIOUS OF ANY AGE‐RELATED TASTE IMPAIRMENT? PREVALENCE OF AND FACTORS ASSOCIATED WITH TASTE IMPAIRMENT IN JAPAN

2011· letter· en· W1514067790 sur OpenAlexfundno aff
Takehiro Michikawa, Yuji Nishiwaki, Toru Takebayashi

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2011
Typeletter
Langueen
DomaineNeuroscience
ThématiqueOlfactory and Sensory Function Studies
Établissements canadiensnon disponible
Organismes subventionnairesCanadian Institutes of Health ResearchMinistry of Education, Culture, Sports, Science and TechnologyPhysicians' Services Incorporated Foundation
Mots-clésTasteMedicineSensory systemVisual impairmentPopulationEpidemiologyAudiologyGerontologyEnvironmental healthPsychologyPsychiatryInternal medicineNeuroscience

Résumé

récupéré en direct d'OpenAlex

To the Editor: The aging of the world's population has increased public interest in age-related sensory impairments, because various studies have shown that they are associated with poor quality of life.1–4 As with visual, hearing, and olfactory functions, age-related impairment is also reported in the sense of taste.5 Taste impairment negatively affects the well-being of older adults, because this sense is directly related to food intake,1 but few community-based epidemiological studies of age-related taste impairment have been conducted, and even such basic statistical data as its prevalence in the general population are sparse.2,6 Sensory impairments are thought to overlap frequently,3,6,7 but the prevalence of taste impairment in association with other sensory impairments is undetermined. Additionally, if overlaps occur, the various sensory impairments are likely to share some risk factors. Revealing the modifiable common risk factors should help in the development of preventive strategies for taste impairment, as well as other sensory impairments. The prevalence of age-related taste impairment and its proportion of occurrence in combination with other sensory impairments was investigated; the factors associated with taste impairment in Japanese adults was also investigated. This cross-sectional study was conducted in February and March 2010 in a rural mountainous area (Koumi Town, Nagano Prefecture) approximately 120 km northwest of Tokyo. A self-administered questionnaire was distributed to all residents aged 40 and older, 2,791 of whom responded (response proportion 85%). Those who did not answer the questions on sensory impairments were excluded, leaving 2,741 subjects (1,255 men; 1,486 women) for analysis. The institutional review board of Keio University School of Medicine approved the study protocol. Internationally accepted tools to assess taste impairment are scarce,7 so the questionnaire simply asked: “Are you conscious of any age-related taste impairment?” Response options were yes and no. Vision, hearing, and olfactory impairments were evaluated in the same way. Information on smoking habits (never, past, current), alcohol consumption (never, past, current), and educational level (junior high, high, college or higher) was also collected. Body mass index (categorized as <18.5, 18.5–24.9, ≥25.0 kg/m2) was calculated from self-reported height and weight. History of hypertension, diabetes mellitus (DM), stroke, myocardial infarction or angina pectoris, and cancer was ascertained using yes-or-no questions in the following format: “Have you ever been told by a physician(s) that you had …?” The prevalence of taste and other sensory impairments was calculated according to age (5-year intervals) and sex. To clarify the factors associated with taste impairment, a logistic regression model was used, adjusting for age and sex. Odds ratios (ORs) with 95% confidence intervals (CIs) of taste impairment were calculated after adjustment for all factors identified as being associated with taste impairment in the age- and sex-adjusted analyses (P<.20). All analyses were performed using Stata version 11 software (Stata Corp., College Station, TX). The most prevalent impairment, regardless of age or sex, was vision, followed in order by hearing, olfaction, and taste (Figure 1). The overall prevalence of taste impairment was 13.3%, with no significant difference according to sex; prevalence increased with age (from 4.6% in those aged 40–44 to 30.4% in those aged ≥85; P for trend <.001, Cochran-Armitage trend test). Most subjects with taste impairment had comorbid impairments (vision, hearing, and olfaction, 65.9%; vision and hearing, 10.1%; vision and olfaction, 6.1%; hearing and olfaction, 2.5%; vision, 8.9%; hearing, 0.3%; olfaction, 0.8%). Thus, only 5.4% of subjects had taste impairment alone, whereas 75.3% had concomitant impairment of the other “chemical” sense,1 olfaction. Prevalence of taste and other sensory impairments according to age (5-year-intervals) and sex in Japan. After adjusting for age, sex, and all factors associated with taste impairment (history of hypertension, DM, myocardial infarction or angina pectoris, and alcohol consumption), age (OR for 1-year increase=1.05, 95% CI=1.04–1.06) and history of DM (OR=1.61, 95% CI=1.13–2.30) were found to be independently associated with taste impairment. This finding is compatible with those of clinical studies that have frequently associated taste impairment with DM.8 Recent evidence also suggests that DM is associated with hearing, olfactory, and vision impairments.9,10 Taken together, aging and DM might be the major factors in the overlapping of sensory impairments. A clear association between DM and multisensory impairment, defined as three or more sensory impairments, was observed in this study (multiadjusted OR=1.48, 95% CI=1.04–2.11). It is possible that such complications of DM as microvascular disease (retinopathy, neuropathy) are the etiological mechanisms of multisensory impairment. Another possible mechanism is the side effects of anti-DM agents. In conclusion, age-related taste impairment is not uncommon in Japanese men and women and frequently occurs in combination with other sensory impairments. Our results suggest that DM is strongly associated with taste impairment. We would like to acknowledge Hiroe Ide, Noriko Kikuchi, Kenta Endo, Mieko Koike, and Megumu Arai from the Division of Townsperson, Koumi Town Office, Nagano, Japan, for their valuable help. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Funding Sources: A grant-in-aid from the Ministry of Education, Culture, Sports, Science and Technology, Japan (No. 21390193). Author Contributions: All authors took various roles in study concept, design, data analysis, interpretation of data, and the writing of the letter. Sponsor's Role: The funding agencies had no role in the design or conduct of the study; in the collection, management, analysis, or interpretation of the data; or in the preparation, review, or approval of the manuscript.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,136
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
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 Opus0,061
Tête enseignante GPT0,246
Écart entre enseignants0,184 · 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'étudeObservationnel
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

Citations16
Publié2011
Routes d'admission1
Résumé présentoui

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