Journal Of Clinical Periodontology · 2021 · 25 citations · 14 references
DentistryPeriodonticsPeriodontologyOccupational HealthPeriodontal EpidemiologyPeriodontal MedicinePeriodontal DiseasePeriodontal Disease Risk AssessmentPeriodontal Risk AssessmentShift WorkShift Work Health EffectsWorking HoursCommunity Periodontal IndexInteraction Effect AnalysisNight Shift WorkOdds Ratio ModelingPeriodontal PocketingSleep-wake Patterns
AIM: This study aimed to investigate the association between work patterns and periodontal disease. MATERIALS AND METHODS: Data were collected from the Korea National Health and Nutrition Examination Survey between 2007 and 2012, and data from 22,508 subjects aged ≥19 years were included. An individual's work pattern was classified as either daytime or shift work. Sleep duration was categorized into three ranges: ≤5, 6-8, and ≥9 h/day. A multivariate logistic regression model was used to determine the adjusted odds ratio (OR) for CPI (Community Periodontal Index) ≥3. The CONTRAST statement was used to show the interaction effect of work patterns and sleep duration. RESULTS: The adjusted OR of shift work was 2.168 (CI: 1.929-2.438, p < .0001). Participants who sleep ≤5 or ≥9 h/day showed ORs 0.735 and 0.663, respectively (p = .0181). Interaction effect analysis revealed that the work pattern had a strong influence on periodontal condition when combined with the sleep amount. Shift workers with ≤5 or ≥ 9 h of sleep showed significantly increased ORs for CPI ≥3 (2.1406 and 2.3251, respectively, p < .0001). The ORs for daytime workers were comparable to the original values (≤5: 0.7348, p = .0292; ≥9: 0.6633, p = .0428). CONCLUSION: Altered sleep patterns caused by shift work have more influence on periodontal disease than sleep duration.
14
A circadian clock in macrophages controls inflammatory immune responses
Maren Keller, J Mazùch, Ute Abraham et al. · Proceedings of the National Academy of Sciences · 2009 · 843 citations · Full text