Beverage Consumption Patterns and Oral Health Outcomes: Do Milk and Water Confer Protective Benefits against Sugary- or Acidic-Beverage Consumption?
Notice bibliographique
Résumé
Background: \nDiseases affecting the oral cavity are the most prevalent chronic conditions in the world, and affect all ages, sexes, and nationalities. Diet is a strong predictor of oral health, and beverage consumption may affect oral health outcomes; however, there has been relatively little research on the association between the balance of beverages in the diet and oral health outcomes. \n \nMethods: \nThe current study used data from the Canadian Health Measures Survey (CHMS) to determine the impact of the type and frequency of beverage consumption on oral health, as well as the interaction between beverages. The first round of data collection for the CHMS took place between March 1, 2007 and March 31, 2009, and involved 5604 Canadians between the ages of 6 and 79 from across Canada. The sample targeted individuals in privately occupied dwellings, and is representative of 97% of the Canadian population. The CHMS consisted of two components: a household questionnaire to collect sociodemographic information, health history, and information on personal habits, and a clinical examination to collect anthropometric measures, blood and urine samples, and oral health measures. For our current analysis, age was restricted to age 12-30 inclusive, with 16 participants removed for missing responses giving a final sample size of 1534. \nThe current analysis examined a number of different types of beverages, including water, milk, regular soft drinks, diet soft drinks, fruit juices, fruit-flavoured drinks, vegetable juices, sport drinks, and alcohol; and four oral health outcomes: dental decay, periodontal health, self-rated oral health (SROH), and a general oral health index (OHX). Descriptive tests and Poisson and Ordinal Regression were used to determine whether an association existed between the variables of interest, and if so, the magnitude of this association. Four models, each consisting of three sub-models, were fitted in order to address the hypotheses and research questions. Due to the complex sampling nature of the CHMS, survey weights were used as outlined by Statistics Canada, and clustering and bootstrapped analyses were carried out in order to account for the complex nature of the data. \n \nResults: \n\tA number of the beverage variables, as well as other covariates, were associated with oral health outcomes. Soft drink consumption was associated with all of the oral health outcomes in the main effects models with increased soft drink consumption having a detrimental effect on oral health. Fruit-flavoured beverage consumption was significant with a negative impact in the dental decay main effects model, and water consumption was significant for the SROH main effects model, having a positive effect on SROH as the frequency of water consumption increased. Milk was significant and beneficial in all index models, and the milk and sugary- or acidic-beverage interaction variables were significant in all index models except for the sugary index model for dental decay. A number of the covariates were also found to be significant: age was associated with all dental decay, periodontal health and OHX models with higher age being associated with poorer oral health, sex was significant in the dental decay models as well as the index models for SROH with females having better oral health, income and frequency of dental care were significant in all of the SROH models (higher income and more frequent visits to health care professionals being associated with better SROH), frequency of flossing was associated with all of the dental decay models in a detrimental way, and fibre consumption was significant in the dental decay models as well as the index models for periodontal health and OHX and had a positive impact on oral health. All other beverage variables and covariates were not significant in any model. \n \nDiscussion: \n\tConsumption of some beverages, specifically regular soft drinks, fruit-flavoured beverages, water and milk, had a small but significant effect on oral health outcomes. It was also found that milk consumption is protective over sugary or acidic beverage interaction, but the interaction between water and sugary and acidic beverages does not seem to be significant. The small magnitude of association suggests oral health outcomes are highly multi-factorial in etiology and oral health status is the result of an accumulation of life exposures. Further investigations would benefit from the inclusion of information regarding access to fluoridated water, as well as longitudinal studies. Overall, the current findings contribute evidence on the importance of minimizing consumption of regular soft drinks and fruit-flavoured beverages, and replacing these drinks with those with more beneficial oral health effects such as milk and water.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».