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小于胎龄儿与幼儿龋病:BRISA 队列研究。

Small for gestational age and early childhood caries: the BRISA cohort study.

机构信息

Programa de Pós-graduação em Saúde Coletiva, Universidade Federal do Maranhão, São Luís, MA, Brazil.

Departamento de Odontologia, Universidade CEUMA, São Luís, MA, Brazil.

出版信息

Sci Rep. 2023 Sep 1;13(1):14343. doi: 10.1038/s41598-023-41411-y.

Abstract

This study tests the hypothesis that children 12-30 months born small for gestational age (SGA) aged are more susceptible to severe early childhood caries (S-ECC). We used data on 865 children aged 12-30 months from a prospective cohort study conducted in a city in the northeast of Brazil. The study outcome was S-ECC, defined based on the proportion of decayed tooth surfaces (cavitated or not). The main exposure variable was SGA, defined according to the Kramer criterion and the INTERGROWTH-21st standard. Direct (SGA → S-ECC) and indirect effects were estimated using structural equation modeling, calculating standardized factor loadings (SFL) and P-values (alpha = 5%). The final models showed a good fit. SGA influenced S-ECC in the direct and indirect paths. In the group of SGA children with 12 or more erupted teeth defined according to the Kramer criterion, the direct effect was positive (SFL = 0.163; P = 0.019); while among all SGA children defined according to the INTERGROWTH-21st standard, the direct effect was negative (SFL =  - 0.711; P < 0.001). Age and number of erupted teeth may influence the occurrence of S-ECC in SGA children, as the number of teeth affects the time of exposure to disease risk factors.

摘要

本研究检验了以下假设

胎龄小的儿童(SGA)在 12-30 个月时更容易受到严重婴幼儿龋(S-ECC)的影响。我们使用了巴西东北部一个城市进行的前瞻性队列研究中 865 名 12-30 个月大的儿童的数据。研究结果为 S-ECC,基于龋齿牙面比例(是否有龋洞)来定义。主要暴露变量是 SGA,根据 Kramer 标准和 INTERGROWTH-21 标准来定义。使用结构方程模型估计直接(SGA→S-ECC)和间接效应,计算标准化因子负荷(SFL)和 P 值(alpha=5%)。最终模型拟合良好。SGA 通过直接和间接途径影响 S-ECC。在根据 Kramer 标准定义的有 12 颗或更多萌出牙齿的 SGA 儿童组中,直接效应为正(SFL=0.163;P=0.019);而在根据 INTERGROWTH-21 标准定义的所有 SGA 儿童中,直接效应为负(SFL=-0.711;P<0.001)。年龄和萌出牙齿数量可能会影响 SGA 儿童发生 S-ECC 的情况,因为牙齿数量会影响暴露于疾病风险因素的时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cbc/10474029/6d0da1e2ee82/41598_2023_41411_Fig1_HTML.jpg

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