Dental caries and body mass index in adult and elderly lithuanians: a cross-sectional study exploring sex-specific patterns
Notice bibliographique
Résumé
BACKGROUND: WHO calls to end the global oral health crisis, as oral diseases impact more people than all other noncommunicable diseases (NCDs) combined. Obesity, a global epidemic, is the fifth leading cause of death worldwide. Both caries and obesity substantially contribute to the global NCDs burden and share common risk factors including commercial determinants of health. However, the relationship between caries and obesity has been inconsistently reported and it has been suggested that sex may play a role. Therefore, the aim of this study was to investigate the sex-specific association between body mass index (BMI) and dental caries in a national sample of Lithuanian adults and early elderly, adjusting for common risk factors. METHODS: The study was based on data from the Lithuanian National Oral Health Survey (2017–2019), comprising a stratified random sample of 1405 adults aged 34–78 from major cities and suburban/rural areas. Information on sociodemographic factors, health-related behaviors, height, and weight was collected using the WHO Oral Health Questionnaire, BMI index was calculated and categorized per WHO criteria. Caries experience was assessed at a surface level and recorded as intact, decayed, missing, or filled surfaces. The count of decayed-, missing-, and filled surfaces (D3MFS), and counts of individual components, namely, the total numbers of decayed surfaces (D3S), filled surfaces (FS) and missing teeth (MT) were also recorded. Negative binomial regression analyses were conducted. Ratios of means (RMs) with 95% confidence intervals (CI) for the associations were estimated, accounting for the natural logarithm of age and common risk factors. RESULTS: The study included 886 (67%) females, mean age 55.2 (SD 11.7) years and 441 (33%) males, mean age 54.0 (SD 12.1) years. Males with obesity had an average of 37% more missing teeth (adjusted RM 1.37; 95% CI 1.01, 1.85), and males with overweight had an average of 41% fewer D3S than normal-weight males (adjusted RM 0.59; 95% CI 0.39, 0.86). Overweight females had an average of 33% and obese 74% more missing teeth than normal-weight females (adjusted RM 1.33; 95% CI 1.10, 1.61 and adjusted RM 1.74; 95% CI 1.43, 2.15, respectively). Moreover, obese females had an average D3MFS that was 14% higher than normal-weight females (adjusted RM 1.14; 95% CI 1.05, 1.24). The crude inverse associations between obesity and FS in females disappeared after the adjustment for common risk factors. CONCLUSION: Sex-specific associations between caries and overweight/obesity were observed. The associations were stronger and more pronounced in females, with a notable BMI-related gradient in tooth loss. Some sex-specific associations diminished after adjusting for the common risk factors, partly supporting the common risk factor approach. Our findings may inform gender- and sex-responsive public health strategies simultaneously targeting overweight/obesity and caries. Future studies should confirm our findings, including a more comprehensive set of common risk factors and performing sufficiently powered age-stratified sex-specific analyses.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».