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Enregistrement W4399869311 · doi:10.2196/59379

Mothers’ Knowledge of and Practices Toward Oral Hygiene of Children Aged 5-9 Years in Bangladesh: Cross-Sectional Study

2024· article· en· W4399869311 sur OpenAlexvenueno aff
Tahazid Tamannur, Sadhan Kumar Das, Arifatun Nesa, Foijun Nahar, Nadia Nowshin, Tasnim Haque Binty, Shafiul Azam Shakil, Shuvojit Kumar Kundu, Md Abu Bakkar Siddik, Shafkat Mahmud Rafsun, Umme Habiba, Zaki Farhana, Hafiza Sultana, Anton Abdulbasah Kamil, Mohammad Meshbahur Rahman

Notice bibliographique

RevueJMIRx Med · 2024
Typearticle
Langueen
DomaineDentistry
ThématiqueDental Health and Care Utilization
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPreprintHygieneCross-sectional studyMedicineOral hygieneDentistryFamily medicineEnvironmental healthDemographySociology

Résumé

récupéré en direct d'OpenAlex

Background: Healthy oral hygiene is crucial for overall health and well-being. Parents' dental care knowledge and practices affect their children's oral health. Objective: This study examined mothers' knowledge and practices regarding their children's oral hygiene through a cross-sectional survey. Methods: This cross-sectional survey was conducted from January 1 to December 31, 2022, in Dhaka, Bangladesh. Mothers' knowledge and practices regarding their children's oral hygiene were assessed through a semistructured questionnaire. Statistical analyses, including the χ2 test and Pearson correlation test, were performed. The Mann-Whitney U and Kruskal-Wallis 1-way ANOVA tests were also used to show the average variations in knowledge and practices among different sociodemographic groups. Results: Of 400 participants, the mean age of mothers was 30.94 (SD 5.15) years, and 388 (97%) were of the Muslim faith, 347 (86.8%) were housewives, and 272 (68%) came from nuclear families. A total of 165 (41.3%) participants showed good knowledge of their children's oral hygiene, followed by 86 (21.5%) showing moderately average knowledge, 75 (18.8%) showing average knowledge, and 74 (18.5%) showing poor knowledge. A total of 182 (45.5%) mothers had children with good oral hygiene practices, followed by mothers with children who had average (n=78, 19.5%), moderately average (n=75, 18.8%), and poor (n=65, 16.3%) oral hygiene practices. The mother's knowledge level was significantly associated with age (P=.01), education (P<.001), family size (P=.03), and monthly income (P<.001). On the other hand, educational status (P=.002) and income (P=.04) were significantly associated with the mother's practices regarding their children's oral hygiene. Nonparametric analysis revealed that mothers who were older (mean knowledge score: 12.13, 95% CI 10.73-13.54 vs 11.21, 95% CI 10.85-11.58; P=.01), with a bachelor's degree or higher (mean knowledge score: 12.93, 95% CI 12.55-13.31 vs 9.66, 95% CI 8.95-10.37; P<.001), who were working mothers (mean knowledge score: 12.30, 95% CI 11.72-12.89 vs 11.45, 95% CI 11.17-11.73; P=.03), and who had a higher family income (mean knowledge score: 12.49, 95% CI 12.0-12.98 vs 10.92, 95% CI 10.48-11.36; P<.001) demonstrated significantly higher levels of oral health knowledge. Conversely, good oral hygiene practices were significantly associated with higher maternal education (mean practice score: 6.88, 95% CI 6.54-7.22 vs 6.01, 95% CI 5.63-6.40; P<.001) and family income (mean practice score: 6.77, 95% CI 6.40-7.14 vs 5.96, 95% CI 5.68-6.24; P=.002). The mother's knowledge was also significantly and positively correlated (Pearson correlation coefficient r=0.301; P<.001) with their children's oral hygiene practices, shown by both the Pearson chi-square (χ2=25.2; P<.001) test and correlation coefficient. Conclusions: The mothers' knowledge and their children's oral hygiene practices were inadequate. The mother's age, education level, family size, and monthly income significantly influenced their knowledge level. Children's oral hygiene habits were significantly associated with family income and the mother's educational status. This underscores the need for educational programs, accessible dental care services, oral health education in the curriculum, media and technology involvement in oral health educational campaigns, and proper research and monitoring.

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 candidatesaucune
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 enseignants0,005
Score d'incertitude au seuil0,294

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
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 Opus0,044
Tête enseignante GPT0,403
Écart entre enseignants0,359 · 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

Citations5
Publié2024
Routes d'admission1
Résumé présentoui

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