Periodontitis, Sleep Quality and Fatigue

This was a prospective survey study reporting on a convenience sample of 124 healthy subjects or patients with periodontitis reporting for care at the Periodontology Clinic, Necmettin Erbakan University. This study was approved by the Faculty of Dentistry Non-Pharmaceutical and Non-Medical Device Research Ethics Committee of Necmettin Erbakan University and was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2013. The study participants provided a written informed consent and comprehended the assessment details fully. The investigators excluded the participants who did not comprehend the questionnaire. Before the study, the number of patients required for each group was determined by calculating the power (G \* Power 3.1 software; Heinrich Heine University, Düsseldorf, Germany). According to the power analysis results for one-way ANOVA test, the study performed on 5 groups provides 90% power and 0.37 effect size for a total of 115 samples. However, considering that there may be patients who could not continue the study, it was decided to include 124 people in the study. Clinical measurements and stage diagnosis for all cases were performed by a single trained and calibrated investigator (KD) using Williams periodontal probes. Calibration exercise was performed in 10 non-study periodontitis patients. First, PD(probing pocket depth) and AL(attachment loss) were measured and the same protocol was repeated 1 hour later. Intra-examiner variabilities for PD and AL measurements were assessed after the completion of all measurements. Statistical analyzes were performed with the SPSS (Statistical Package for the Social Sciences) 26.0 package program. The normality of the distribution was checked with the Kolmogorov Smirnov test. In the study, one-way anova test and Bonferroni test were used as post hoc test for comparison according to stage, grade, age and educational status, while independent sample t test was used for comparison according to gender. Pearson correlation analysis was applied to test the relationship between the scales. Chi-square analysis was used to evaluate the classification made according to sleep quality and the relationship between stage and grade. Chi-square analysis was used to evaluate the relationship between demographic characteristics and stage and grade. Statistical significance was assessed when p \< 0.05.