Early childhood growth trajectories and periodontal health among 8-10 year-old Quebec children at risk of obesity
Notice bibliographique
Résumé
Background: Anthropometric measures including birth weight and body mass index have been associated with adult periodontal disease. However, there is limited evidence regarding the role of childhood growth in subsequent periodontal inflammation. Objectives: We estimate the extent to which childhood growth trajectories between age 0 to 2 years are associated with indicators of periodontal health among 8-10 year old children participating in the QUALITY Cohort.Methods: We used baseline data from an ongoing prospective study, the QUALITY (Quebec Adipose Lifestyle Investigation in Youth) cohort investigating the natural history of obesity among 8-10-year-old Caucasian children living in Quebec, Canada. This analysis included 244 boys and 186 girls for whom data were available on anthropometric measures and periodontal health, namely concentration levels of TNFα-GCF and gingival bleeding on probing. Anthropometric measures at birth and up to 2 years of age were collected retrospectively from the Quebec health booklets. GCF samples were collected from the gingival sulcus using a paper strip and the concentration of TNFα-GCF was determined by enzyme-linked immunosorbent assay and the presence of gingival bleeding was measured in buccal and lingual surfaces of the Community Periodontal Index (CPI). Growth analysis of weight-for-length z-score by age was done using the ‘lcmm’ (Latent Class Mixed Model) package in R and the indicators of periodontal health were regressed on the resultant growth trajectories using a regression analysis adjusting for body mass index (BMI) of the child and mother, parental income, education status of mother, maternal age, child’s age, breastfed.Results: The mean age of the children was 9.1 years (SD=0.9) and majority of them were males (n= 244, 56.7%). Most children did not have excess weight (62%) and the average gestational age was around 40 weeks. The mean age of the children’s mother was 30.27 (SD=4.7) years and 18% of them had history of gestational diabetes. The mean family income was 42,727 CAD$. The median TNFα-GCF was 215 (IQR: 33, 517), and the median proportion of gingival bleeding sites was 75 (50, 83.33). We identified a three-class quadratic solution in the data analysis and defined as follows: Growth of the children that started out at a lower than average weight for length at birth but grew rapidly were named as Class 1; children who had a higher than average weight for length at birth but had a dip in growth were named as Class 2; while Class 3 denoted expected growth in a child who was born at the average weight for length and initially rose rapidly and then became steady. In the adjusted linear model, having a class 1 or class 2 type trajectory, compared to class 3, showed no association with concentration levels of TNFα-GCF on average [0.49 (95% CI:-10.80, 11.79) or 0.18(95% CI: -10.29, 10.64)], respectively. Also, another adjusted linear model having a class 1 or class 2 type trajectory, compared to class 3, showed no association with proportion of sites with gingival bleeding on probing [2.11 % (95% CI :-4.75, 8.98) or 1.13 % (95% CI: -5.23, 7.49)] respectively( table 3).Conclusions: The expected growth trajectory showed no association with either TNFα-GCF levels nor proportion of sites with gingival bleeding
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 | 0,001 |
| 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 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».