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Abstract Accurate determination of the prevalence of erosive tooth wear (ETW) and associated risk factors in adolescents can inform clinical management guidelines. The aim of this analytical cross-sectional study was to estimate the prevalence, severity, and risk factors of ETW in adolescents aged 12–15 years in the municipality of Usaquén in Bogotá, Colombia. Two calibrated examiners clinically assessed ETW using Basic Erosive Wear Examination (BEWE) Index (range: 0–3). All tooth surfaces (excluding proximal) were scored to allow estimation of the Highest (0–3) and Total BEWE (sum of Highest BEWE score per sextant: 0–18) scores per patient. Sociodemographic characteristics, ETW risk factors, and caries severity (ICDAS-epi-merged) were evaluated, and their association with the presence of ETW (indicated by a Highest BEWE score of 2–3) was examined using preliminary analyses and logistic regression models. The study sample included 454 adolescents (mean age: 13.5±1.1 years; female: 61.7%), and the prevalence of ETW was 71.6%. The majority of participants exhibited a Highest BEWE score of 3 (58.0%) and a Total BEWE score ≤8 (84.3%). The preliminary analysis showed an association between the presence of ETW and age, caries, and brushing teeth before eating (p-value < 0.05). Risk factors for ETW included always brushing teeth before eating [adjusted Prevalence Ratio (PRa) 1.31, p-value=0.014], presence of extensive carious lesions (PRa 1.23, p-value = 0.024), male gender (PRa 1.14, p-value = 0.028), and age > 14 years (PRa 1.17, p-value = 0.009). Although ETW was highly prevalent, most Colombian adolescents exhibited low Total BEWE scores. ETW was associated with frequent fruit intake, age, toothbrushing habits, caries lesions, and sex. (ETW guidelines crosssectional cross sectional 1215 12 15 12–1 Bogotá Colombia (BEWE range (range 0–3. 03 0–3 . 0 0–3) excluding proximal (0–3 sum sextant 0–18 018 18 patient characteristics ICDASepimerged ICDAS epi merged (ICDAS-epi-merged evaluated indicated 2–3 23 2 models 45 mean 13511 13 5 1 13.5±1. female 61.7%, 617 61.7% , 61 7 61.7%) 716 71 6 71.6% 58.0% 580 58 (58.0% 8 ≤ 84.3%. 843 84.3% 84 (84.3%) pvalue p value 0.05. 005 0.05 05 0.05) adjusted PRa 131 31 1.31 pvalue=0.014, pvalue0014 value=0.014 014 p-value=0.014] 123 1.23 0.024, 0024 0.024 024 0.024) 114 1.14 0.028, 0028 0.028 028 0.028) 117 17 1.17 0.009. 0009 0.009 009 0.009) prevalent intake habits sex 121 12– 0– (0– 0–1 01 2– 4 1351 13.5±1 61.7 71.6 58.0 (58.0 84.3 (84.3% 00 0.0 1.3 pvalue=0.014 pvalue001 value0014 value=0.01 p-value=0.014 1.2 002 0.02 02 11 1.1 000 0.00 (0 135 13.5± 61. 71. 58. (58. 84. (84.3 0. 1. pvalue=0.01 pvalue00 value001 value=0.0 p-value=0.01 ( 13.5 (58 (84. pvalue=0.0 pvalue0 value00 value=0. p-value=0.0 13. (5 (84 pvalue=0. value0 value=0 p-value=0. (8 pvalue=0 value= p-value=0 pvalue= p-value=