Knowledge, Attitudes, and Practices to Periodontal Health of the Northeast Chinese Public: Cross-Sectional Study
Notice bibliographique
Résumé
BACKGROUND: Periodontitis affects approximately 50% of adults in China and is a leading cause of tooth loss in this population. However, there is a notable paucity of research on knowledge, attitudes, and practices (KAP) related to periodontitis among patients in Northeast China. OBJECTIVE: This study aimed to investigate the KAP regarding periodontitis among populations in Northeast China, focusing on five demographic factors: gender, age, income, education level, and region. METHODS: A cross-sectional survey was conducted by convenience sampling over a period of one week. A structured questionnaire was used to collect detailed responses on periodontitis-related KAP. Descriptive statistics (means, standard deviations, frequencies, percentages) were employed. Normality was assessed by Shapiro-Wilk tests. Non-parametric Kruskal-Wallis and multivariate regression analyses were conducted to examine demographic influences and interactions on periodontal knowledge, attitudes, and practices (KAP) scores. Statistical significance was defined at p < 0.05. RESULTS: A total of 619 questionnaires were distributed, resulting in 562 valid responses comprising 242 males (43.06%) and 320 females (56.94%), with a mean participant age of 41.27 years (95% CI: 37.4-45.1). The overall awareness of periodontal disease was relatively low in Northeast China, with the mean KAP scores being 3.88/8, 5.28/7, and 5.19/11. Age and educational level were both significantly associated with individuals' knowledge, attitudes, and practices (KAP) regarding periodontitis (p < 0.05), whereas gender showed a significant association with knowledge only (p < 0.05). Regional and income-related differences were generally significant, with only a variable showing marginal effects (p ＝ 0.05). Multiple regression analysis indicated that both knowledge and attitude scores tended to increase with age. The increase in knowledge was most pronounced in the 41-50 age group (coefficient = 1.58, 95% CI: 0.83-2.33, p < 0.01). Attitude scores exhibited a more consistent upward trend across all age groups. In contrast, practice scores declined with age. In terms of interactions, young females exhibited significantly higher awareness than males, whereas no significant gender differences were observed among older populations. Additionally, higher education levels and economic status were strongly associated with improved awareness. Notably, the presence of gingival bleeding significantly enhanced public awareness of periodontitis, especially knowledge score (coefficient = 1.07, 95% CI: 0.69-1.44, p < 0.01). CONCLUSIONS: This study provides a comprehensive understanding of the KAP regarding periodontitis among populations in Northeast China. The findings offer valuable insights for the formulation of targeted policies and underscore the importance of improving periodontal KAP in the region.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».