| Literature DB >> 32208466 |
Hélène Pichot1,2, Bruno Pereira3, Elodie Magnat2, Martine Hennequin1,4, Stéphanie Tubert-Jeannin1,4.
Abstract
BACKGROUND: The objective of this retrospective survey was to evaluate after one year, the conditions and impacts of a dental sealant intervention conducted in New Caledonia, within a health promotion program. A greater or at least equivalent quality and impact of the intervention was expected for children living in socially deprived regions with the greatest health needs.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32208466 PMCID: PMC7093001 DOI: 10.1371/journal.pone.0230639
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Description of the study variables, for the whole sample and per region.
| Total n = 459 | North n = 132 | Islands n = 43 | South n = 284 | P | |
|---|---|---|---|---|---|
| RETENTION RATES | |||||
| Partial retention rate | 0.52 (0.35) | 0.59 (0.38) | 0.45 (0.32) | 0.50 (0.34) | 0.004 |
| Complete retention rate | 0.31 (0.36) | 0.30 (0.36) | 0.42 (0.37) | 0.30 (0.36) | NS |
| Global retention rate | 0.83 (0.35) | 0.89 (0.31) | 0.87 (0.45) | 0.80 (0.34) | 0.02 |
| CONDITIONS: SEALANT APPLICATION | |||||
| % of sealants placed at school | 69.1% | 44.7% | 25.6% | 87.0% | <0.001 |
| Presence of a dental assistant (n = 444) | 84.9% | 64.7% | 73.2% | 95.1% | <0.001 |
| SOCIODEMOGRAPHIC PROFILE | |||||
| % in private schools | 15.9% | 19.7% | 41.9% | 10.2% | P<0001 |
| % of girls | 48.0% | 40.2% | 55.8% | 50.4% | NS |
| INITIAL DENTAL STATUS | |||||
| Number of First molars present in 2016 | 3.63 (0.81) | 3.64 (0.76) | 3.47 (0.88) | 3.64 (0.82) | NS |
| % of children with caries in 2016 | 63.6% | 69.7% | 79.0% | 58.5% | 0.007 |
| Number of carious first molars in 2016 | 0.19 (0.54) | 0.20 (0.57) | 0.14 (0.41) | 0.19 (0.53) | NS |
| Number of sealants applied in 2016 | 3.34 (1.01) | 3.41 (0.92) | 3.21 (1.06) | 3.32 (1.03) | NS |
| 2017 DENTAL STATUS | |||||
| Number of carious first molars in 2017 | 0.35 (0.84) | 0.32 (0.81) | 0.65 (0.90) | 0.37 (0.84) | 0.06 |
| Number of sealants remaining in 2017 | 2.82 (1.26) | 3.08 (1.23) | 2.74 (1.36) | 2.72 (1.25) | 0.03 |
| % of children with caries in 2017 | 63.0% | 68.9% | 88.4% | 56.4% | <0.001 |
| ONE-YEAR CARIES INCREMENT | |||||
| Caries increment: ΔDT1st molars | 0.18 (0.76) | 0.12 (0.59) | 0.51 (0.83) | 0.15 (0.81) | <0.001 |
n: number of subjects,
* mean (standard deviation) for the proportion of sealants remaining per child,
p: p value for Chi square test or ANOVA.
£ permanent and temporary teeth,
! the South region differed from the North region (Tukey-Cramer).
§ the Islands differed from the North and from the South (Tukey-Cramer).
Fig 1Complete and global retention rates and caries increment (ΔDT1st molars) depending on the region and setting of sealant placement.
Significant regression coefficients derived from the mixed multiple random-effects regression with one-year carious increment (ΔDT1st molars) as dependent variable.
| ΔDT1st molars | |||
|---|---|---|---|
| RC | 95% CI | ||
| North | -0.30 | (-0.61; -0.01) | |
| South | -0.38 | (-0.71; -0.05) | |
| Islands = reference | |||
| -0.28 | (-0.48; -0.08) | ||
RC: Regression coefficient, 95%CI: Confidence Interval, p: p value,
Explanatory variables integrated in the model: Child’s gender, type of school (private vs public), region (Islands, North, South), dental status in 2016 (number of first molars and % with carious lesions), conditions of sealant placement (school vs dental office, with or without dental assistant), examiner effect, p = 0.002
Fig 2Mediation analysis of caries increment (Model B).
Tested mediator: Global retention rate. Independent variable: Region (Model B: the Islands compared to the North and South). Baseline risk co-variates: gender, type of school (private vs public), dental status in 2016 (number of first molars and % with carious lesions), conditions of sealant placement (school vs dental office, with or without dental assistant), examiner effect (as random effect). Step 1: The first step in our mediational analysis was the finding that belonging to the Islands region as compared to the North and South regions had a measurable impact on caries increment after accounting for baseline risk covariates. Step 2: Second, we checked if the retention rate (mediator) was related with the region, after accounting for baseline risk covariates. Step 3: Finally, a multilinear regression (mixed model) calculated the influence of the region on the tested mediator (retention rate). Subsequently, we jointly calculated the influence of the mediator and the direct effect of the independent variable on caries increment after accounting for baseline risk covariates. This last step shows that retention rate partially mediates [38%. P = for the average causal mediation effect (ACME)] the original effect of the region on caries increment and consequently remains directly associated with caries increment in an independent manner. The mediator (retention rate) and the main independent variable (Region) are assessed as binary variables.