“Dental Cluster” Versus “Metabolic Cluster”: Analyzing the Associations of Planned and Delivered Dental Procedures with Metabolic Syndrome, Utilizing Data from the Dental, Oral, Medical Epidemiological (DOME) Cross-Sectional Record-Based Nationwide Study

Abstract

There are conflicting results existing regarding the association between dental status and metabolic syndrome (MetS). The present research analyzed the associations of the sum of the standard dental unit (SDU) scores of planned (SDU-P) and delivered (SDU-D) dental procedures per patient with MetS components, consequences, and related conditions. The SDU score of each dental procedure represents the time and complexity of the executed procedure. This cross-sectional study analyzed data from the Dental, Oral, Medical Epidemiological (DOME) repository, which includes comprehensive socio-demographic, medical, and dental databases of a nationally representative sample of 132,529 military personnel. Univariate analyses revealed that SDU-P had statistically significant positive associations with all systemic morbidities related to MetS, while the SDU-D exhibited positive associations with some of the systemic morbidities and with lower ORs. SDU-P and SDU-D were associated with worse scores of auxiliary examinations used in the assessment of MetS components. SDU-P retained significant positive associations in the multivariate analysis with impaired glucose tolerance (IGT) (OR = 7.40 (1.91–28.57)), deep vein thrombosis (DVT) (OR = 5.61 (1.53–20.83)), obstructive sleep apnea (OSA) (OR = 5.05 (2.40–10.63)), and fatty liver (OR = 1.82 (1.17–2.84)). In contrast, obesity was the only systemic parameter retaining a significant association with SDU-D following multivariate analysis (OR = 1.47 (1.23–1.76)). It can be concluded that SDU-P, but not SDU-D, is a better predictor of systemic morbidities related to MetS. In other words, MetS is associated with a higher dental treatment needs burden, rather than with dental treatments performed de facto. Dental and general health authorities should collaborate and share information and focus on reducing common health-related risk factors, such as smoking and sugar consumption, in particular among high-risk populations, such as immigrants and those with lower SES and rural locality.

Obstructive Sleep Apnea, Metabolic Dysfunction, and Periodontitis—Machine Learning and Statistical Analyses of the Dental, Oral, Medical Epidemiological (DOME) Big Data Study

“…This study is a part of the Dental, Oral, Medical Epidemiological (DOME) record-based big data study [ 25 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ]. These previous publications have used and described the DOME study, including a paper dedicated to the describe the protocol and study methods of the DOME [ 28 ].…”

Body Mass Index and Caries: Machine Learning and Statistical Analytics of the Dental, Oral, Medical Epidemiological (DOME) Nationwide Big Data Study

“…This study is a records-based cross-sectional study. The study is a part of the dental, oral, and medical epidemiological (DOME) study [ 27 , 28 , 29 , 30 , 31 ]. Complete information on the methods of the DOME has been depicted in our previous publication [ 27 ].…”

“…Complete information on the methods of the DOME has been depicted in our previous publication [ 27 ]. The DOME is a structured comprehensive study based on big data, including the demographics, dental, and medical profiles of military personnel ranging from young to middle-aged [ 27 , 28 , 29 , 30 , 31 ]. Thus, the DOME is a powerful tool that provides an exceptional opportunity to cross-reference dental outcomes with BMI measurements to investigate the associations between BMI categories and caries, whilst also adjusting for socio-demographics, health-associated practices, and systemic conditions related to metabolic syndrome.…”

Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study

“…This investigation forms a part of the Dental, Oral, Medical Epidemiological (DOME) big data record-based research project [23][24][25][26][27][28][29][30]. Previous publications have extensively utilized and elucidated the DOME initiative, with a singular paper devoted to outlining the procedural framework and research methodologies of the DOME project [23].…”

“…The IDF Medical Information Department furnished the data sourced simultaneously from three IDF electronic systems, specifically, dental patient records (DPRs), medical patient records (computerized patient records (CPRs)), and the socio-demographic electronic systems housing the socio-demographic characteristics of individuals from the military, as elaborated upon in our previous publication [28]. The process of data mining was executed in an anonymized manner by the Medical Corps' Department of Medical Information, as described previously [23].…”