Risk factors for noncarious cervical lesions: A case–control study

Author:

Kong Weiyang1,Ma Haoran2,Qiao Feng3,Xiao Mo1,Wang Li1,Zhou Liwen1,Chen Yuxin1,Liu Juan4,Wang Yuanyuan1,Wu Ligeng1ORCID

Affiliation:

1. Department of Endodontics, School of Stomatology Tianjin Medical University Tianjin China

2. School of Stomatology Hebei Medical University Shijiazhuang China

3. Department of Oral and Maxillofacial Surgery, School of Stomatology Tianjin Medical University Tianjin China

4. Department of Prosthodontics, School of Stomatology Tianjin Medical University Tianjin China

Abstract

AbstractObjectivesNoncarious cervical lesions (NCCLs) are multifactorial and can be caused by the anatomical structure of the teeth, erosion, abrasion and abnormal occlusion. The aim of this case–control study was to explore the risk factors for NCCLs.MethodsCone‐beam computed tomography was used to determine whether a wedge‐shaped defect existed at the cementoenamel junction. We compared 63 participants with NCCLs with 63 controls without NCCLs, matched for sex, age (±1 year) and toothbrushing‐related factors (e.g., type of bristle and brushing patterns, frequency and strength). All participants were asked to complete a questionnaire about self‐administered daily diet habits and health condition. Univariate and multivariate logistic regression analyses were conducted to determine the risk factors for NCCLs.ResultsSignificant variables in the univariate analysis (i.e., p < .2) included frequency of carbonated beverage consumption, sella‐nasion‐point B angle (SNB) and Frankfort‐mandibular plane angle (FMA). Multivariate logistic regression demonstrated that the consumption frequency of carbonated beverages (odds ratio [OR] = 3.147; 95% confidence interval [CI], 1.039–9.532), FMA (OR = 1.100; 95% CI, 1.004–1.204) and SNB (OR = 0.896; 95% CI, 0.813–0.988) was independent influencing factors. The area under the receiver operating characteristic curve (AUC) value of regression Model 1 (established with the frequency of carbonated beverage consumption, FMA, SNB and sleep bruxism) was 0.700 (95% CI, 0.607–0.792; p < .001), and that of regression Model 2 (established using the frequency of carbonated beverage consumption, FMA and SNB) was 0.704 (95% CI, 0.612–0.796; p < .001).ConclusionsThe consumption frequency of carbonated beverages and FMA was risk factors for NCCLs; the higher the frequency of carbonated beverage consumption and FMA, the higher was the probability of NCCLs. SNB was a protective factor for NCCL occurrence; the larger the SNB, the lower was the probability of NCCL occurrence. These findings have further clarified the aetiology of NCCLs and provided clinicians with valuable insights into strategies for preventing the loss of dental tissue.

Publisher

Wiley

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