Abstract：
OBJECTIVE: Noncarious 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.
METHODS: Cone-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.
RESULTS: Significant 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).
CONCLUSIONS: The 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.
METHODS: Cone-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.
RESULTS: Significant 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).
CONCLUSIONS: The 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.
摘要：
目的：非龋齿宫颈病变（NCCL）是多因素的，可由牙齿的解剖结构引起，侵蚀,磨损和异常闭塞。本病例对照研究的目的是探讨NCCL的危险因素。
方法：锥束计算机断层扫描用于确定牙釉质交界处是否存在楔形缺损。我们比较了63名有NCCL的参与者和63名无NCCL的对照，匹配性别，年龄(±1岁)和刷牙相关因素(例如，刷毛类型和刷牙模式，频率和强度)。所有参与者都被要求填写一份关于自我管理的日常饮食习惯和健康状况的问卷。进行单因素和多因素logistic回归分析以确定NCCL的危险因素。
结果：单变量分析中的重要变量（即，p<2)包括碳酸饮料消费频率，鞍区-下颌点B角(SNB)和法兰克福-下颌平面角(FMA)。多变量逻辑回归表明碳酸饮料的消费频率(比值比[OR]=3.147;95%置信区间[CI],1.039-9.532),FMA(OR=1.100;95%CI,1.004~1.204)和SNB(OR=0.896;95%CI,0.813~0.988)是独立影响因素。回归模型1的接受者工作特性曲线下面积(AUC)值(建立了与碳酸饮料消费频率、FMA,SNB和睡眠磨牙症)为0.700(95%CI，0.607-0.792；p<.001)，和回归模型2(使用碳酸饮料消费频率建立，FMA和SNB）为0.704（95%CI，0.612-0.796；p<.001）。
结论：碳酸饮料和FMA的消费频率是NCCL的危险因素；碳酸饮料和FMA的消费频率越高，NCCL的概率越高。SNB是NCCL发生的保护因素；SNB越大，NCCL发生的概率越低.这些发现进一步阐明了NCCL的病因，并为临床医生提供了预防牙齿组织丢失的有价值的见解。
方法：锥束计算机断层扫描用于确定牙釉质交界处是否存在楔形缺损。我们比较了63名有NCCL的参与者和63名无NCCL的对照，匹配性别，年龄(±1岁)和刷牙相关因素(例如，刷毛类型和刷牙模式，频率和强度)。所有参与者都被要求填写一份关于自我管理的日常饮食习惯和健康状况的问卷。进行单因素和多因素logistic回归分析以确定NCCL的危险因素。
结果：单变量分析中的重要变量（即，p<2)包括碳酸饮料消费频率，鞍区-下颌点B角(SNB)和法兰克福-下颌平面角(FMA)。多变量逻辑回归表明碳酸饮料的消费频率(比值比[OR]=3.147;95%置信区间[CI],1.039-9.532),FMA(OR=1.100;95%CI,1.004~1.204)和SNB(OR=0.896;95%CI,0.813~0.988)是独立影响因素。回归模型1的接受者工作特性曲线下面积(AUC)值(建立了与碳酸饮料消费频率、FMA,SNB和睡眠磨牙症)为0.700(95%CI，0.607-0.792；p<.001)，和回归模型2(使用碳酸饮料消费频率建立，FMA和SNB）为0.704（95%CI，0.612-0.796；p<.001）。
结论：碳酸饮料和FMA的消费频率是NCCL的危险因素；碳酸饮料和FMA的消费频率越高，NCCL的概率越高。SNB是NCCL发生的保护因素；SNB越大，NCCL发生的概率越低.这些发现进一步阐明了NCCL的病因，并为临床医生提供了预防牙齿组织丢失的有价值的见解。
