The risk factors for MS pain and their impact on dental work should widely be disseminated among dentists. Importantly, proper implementation in everyday life of adequate preventive measures is essential for preventing MS pain and development of WMSDs.

SummaryAim: The purpose was to assess ergonomic risk level in dentistry, which may contribute to manifestation of musculoskeletal disorders (MSD). Methods and Materials: The study included ten dentists, postgraduate students, mean age (33 ± 3.4). Participants were asked to perform typical dental examination in standing and sitting positions. The surface electromyography (EMG) was recorded during dental work from both left and right shoulder muscles: descendent trapezius muscle (T); back muscles: erector spinae muscle (ES); and neck muscles: sternocleidomastoid muscle (SCM) and splenius capitis muscle (SC). Results: High muscles forces, greater than 21% of the maximal voluntary contraction (MVC), which could be indicative of high risk, particularly occurred in muscles SC on both sides of the body in the sitting position. The medium risk level occurred in the same muscles on both sides in standing position. Left and right T muscles were under medium ergonomic risk level in both, sitting and standing working positions. SCM muscles on the left and right side of the body in both working positions were under low risk level, lower than 10% of the MVC. In sitting position, medium risk level occurred in ES muscles on both body sides, while in standing position the risk was low. Conclusion: Dentists are exposed to ergonomic risk. By combining both sitting and standing position the risk can be reduced.

Introduction Dentistry is a high‐risk profession for the development of work‐related disorders. Dental students are also exposed to several risk factors. The goal of the study was to determine and localise musculoskeletal pain during dental work, afterwards to measure electromyography signals from the muscles groups mostly affected by the musculoskeletal pain. Study was done in order to provide possible suggestions for the most effective preventive measures of MS pain among dental students. Materials and Methods In order to solve the objectives, the research was realised in two segments. In the first part of the study, specially designed questionnaires were used to determine the frequency of musculoskeletal pain, risk factors and preventive measures among students. The second part of the study included electromyography analyses of muscular activity of students during dental work. Inclinometers also were set up in the purpose of monitoring inclination of the spine. Results Results of the questionnaire study indicated that pain during work was frequent, 81.8% of all the subjects reported pain during work. The recorded muscle activity of the neck muscles indicated a high ergonomic risk, while the muscle activity of the shoulders and back muscles indicated a medium risk. Work with a back flexion of 20 degrees and more indicates that students are at risk. Conclusion Dental students used to work in unnatural working position. High ergonomic risk occurred in neck muscles. Students should be aware of the potential risks during work and to learn how to prevent it. Regular physical activity is strongly suggested to the students in order to avoid ergonomic problems.

These findings show that risk for increased fatigue and possible injures can be reduced by combining the sitting and standing occupational postures.

Periodontitis is among the most common health conditions and represents a major public health issue related to increasing prevalence and seriously negative socioeconomic impacts. Periodontitis-associated low-grade systemic inflammation and its pathological interplay with systemic conditions additionally raises awareness on the necessity for highly performant strategies for the prevention and management of periodontitis. Periodontal diagnosis is the backbone of a successful periodontal strategy, since prevention and treatment plans depend on the accuracy and precision of the respective diagnostics. Periodontal diagnostics is still founded on clinical and radiological parameters that provide limited therapeutic guidance due to the multifactorial complexity of periodontal pathology, which is why biomarkers have been introduced for the first time in the new classification of periodontal and peri-implant conditions as a first step towards precision periodontics. Since the driving forces of precision medicine are represented by biomarkers and machine learning algorithms, with the lack of periodontal markers validated for diagnostic use, the implementation of a precision medicine approach in periodontology remains in the very initial stage. This narrative review elaborates the unmet diagnostic needs in periodontal diagnostics, the concept of precision periodontics, periodontal biomarkers, and a roadmap toward the implementation of a precision medicine approach in periodontal practice.