Overview
This project aims to investigate the relationship between periodontitis and sleep quality. Its originality lies in evaluating the association between periodontal status and sleep quality together with salivary interleukin-6 (IL-6), interleukin-6 (IL-10) IL-10, and pentraxin-3 levels. In particular, examining the relationship of sleep quality with biological, psychological, and lifestyle factors through periodontitis and salivary IL-6, IL-10, and pentraxin-3 levels has not been previously studied in the literature. Methodologically, periodontal status will be determined through clinical examination; participants' Pittsburgh Sleep Quality Index and Multidimensional Fatigue Inventory scores will be recorded; and salivary IL-6, IL-10, and pentraxin-3 levels will be measured. The obtained data will be compared using statistical analyses to determine the strength of the relationship between periodontitis severity and sleep quality. From a management perspective, the project will be conducted following approval from the ethics committee. In terms of broader impact, the results are expected to scientifically demonstrate the relationship between periodontitis and sleep quality, contribute to the adoption of a holistic health approach in clinical practice, and increase public health awareness. Additionally, the project is expected to provide a foundation for future research on the relationship between oral health and quality of life.
Description
This study is designed to investigate the relationship between periodontitis and sleep quality through clinical, questionnaire-based, and biochemical parameters. Periodontitis is a chronic inflammatory disease that may influence systemic health, while sleep quality is closely associated with inflammatory, psychological, and lifestyle-related factors. However, the combined evaluation of periodontal status, sleep quality, and salivary inflammatory biomarkers has not been sufficiently explored.
Participants will undergo a comprehensive periodontal examination, including standard clinical periodontal parameters, to determine periodontal status and disease severity. Sleep quality will be assessed using the Pittsburgh Sleep Quality Index (PSQI), and fatigue status will be evaluated with the Multidimensional Fatigue Inventory (MFI). These validated instruments will provide quantitative measures of subjective sleep quality and fatigue dimensions.
In addition to clinical and questionnaire data, unstimulated saliva samples will be collected from all participants under standardized conditions. Salivary levels of interleukin-6 (IL-6), interleukin-10 (IL-10), and pentraxin-3 will be measured using appropriate biochemical analysis methods. These biomarkers are selected to reflect inflammatory and immunoregulatory activity potentially linking periodontal disease and sleep disturbances.
The primary objective is to determine whether sleep quality is associated with periodontal disease severity. Secondary objectives include evaluating the relationship between sleep quality scores, fatigue measures, and salivary inflammatory marker levels. Statistical analyses will be performed to assess correlations and group differences among periodontal, sleep, and biomarker variables.
The study will be conducted following ethics committee approval and in accordance with relevant ethical guidelines. Findings are expected to contribute to a better understanding of the biological and behavioral links between oral health and sleep quality and to support a more holistic approach in clinical health assessment and preventive care.
Eligibility
Inclusion Criteria:
- systemically healthy,
- clinical diagnosis of periodontitis,
- clinical diagnosis of periodontal health
Exclusion Criteria:
- history of regular use of systemic antibiotics, anti-inflammatory, or antioxidant drugs (previous 6 months);
- nonsurgical periodontal treatment (previous 6 months);
- surgical periodontal treatment (previous 12 months);
- presence of \<20 teeth;
- current medications affecting gingival health (calcium channel blockers, phenytoin, cyclosporine, and hormone replacement therapy);
- diabetes diagnosis; rheumatoid arthritis diagnosis; and pregnancy, lactating, or excessive alcohol consumption.