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Enregistrement W2982191764 · doi:10.5539/jmbr.v9n1p82

Dental Caries among Tasters and Non-Tasters of PTC Substance in Students of Qurna Population

2019· article· en· W2982191764 sur OpenAlexvenueno aff
Hasna Amir Mohaus

Notice bibliographique

RevueJournal of Molecular Biology Research · 2019
Typearticle
Langueen
DomaineNursing
ThématiqueBiochemical Analysis and Sensing Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineTasteDentistryPopulationEnvironmental healthFood scienceBiology

Résumé

récupéré en direct d'OpenAlex

Objective: Dental caries is one of the most common diseases found in human populations and it is still prevalent and widespread in all around the world. newer strategies emphasize disease prevention as a model of disease management. For early detection and monitoring of caries rather than treatment Taste has valuable roles in our lives in health and disease. genetic markers such as PTC substance taste ability may represent a useful tool to predict the susceptibility to caries. This study aims to investigate the relationship between the taste ability of phenylthiocarbamide (PTC) substance and dental caries. Materials and Methods: The current study was conducted from November 2017 to April 2018 in Qurna and Madiana population/Basrah/Iraq, PTC taste sensitivity was determined among random sample of (406) student from primary and secondary schools; 216 males and 190 females, their ages ranging from (6-17) years old. For dental caries assessment, dmft/DMFT scores were recorded. Individuals were divided into three groups (low, high and very high) according to their dental caries severity in addition to the free caries individuals. Results: The proportion of tasters were higher as compared to non-tasters in this sample. The results showed an increase in the prevalence of caries among primary(68%) and secondary (57.6%) school’s students respectively and for both of them (64.03%). In primary school; females had an elevated percentage of caries (73.1%) compared to their counterpart males (65%). The results of this study did not show a significant relationship between the taste of PTC substance and dental caries, with equal proportions of caries prevalence among tasters and non-tasters (P > 0.05). However, the results showed significant differences in age effect in the prevalence of dental caries among primary and secondary students as it increased in individuals of the age group (6-12) years compared to the age group (13-17) years. Conclusion: The results of this study did not show a significant relationship between the taste of PTC substance and dental caries. In other hand age have a significant influence especially in primary age school and females were more affected than males. The appearance of the two phenotypes of PTC taste may be due to the involvement of other genes, rather than the PTC gene only, including CA6 gene and its variation , which in turn affects the pH capacity of the saliva, a factor associated with tooth decay. Due to the multifactorial nature of dental caries, the individual’s vulnerability may differ from one to another. In addition, particularly regarding diet, part of the strategy to be adopted can be defined as health promotion by preventing the occurrence of the disease rather than treatment. Integrating a healthy dietary regimen into the daily routine can have a real influence on oral health and can be regarded as a primary step towards caries prevention. future research efforts should continue to emphasize early detection and caries prevention strategies.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,229

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
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)0,0000,000

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 Opus0,018
Tête enseignante GPT0,379
Écart entre enseignants0,361 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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