Is inadequate sleep a potential risk factor for periodontitis?

Association of lifestyle behaviors and oral health care needs: Mediating effects of inflammatory markers

OBJECTIVE

Mounting evidence indicates that modifiable risk factors such as lifestyle behaviors may be involved in the occurrence of oral diseases. However, existing research doesn't come to a unanimous consent. This study aims to evaluate the association between lifestyle behaviors and oral health care needs.

METHODS

This study used the nationally representative dataset from the National Health and Nutrition Examination Survey (NHANES) from March 2017 to 2020 pre-pandemic. Binary logistic regression analysis was used to evaluate lifestyle behavioral factors that influence oral health care needs. Mediation analysis was performed to explore the roles of inflammatory markers in the relationship between physical activities and oral problems.

RESULTS

After adjusting for covariates, multivariate analysis indicated that flossing (OR = 0.590, 95% CI, 0.510-0.682, P < 0.001), moderate alcohol consumption (per week: OR = 0.717, 95% CI, 0.588-0.873, P < 0.001; per month/year: OR = 0.794, 95% CI, 0.669-0.942, P = 0.008) and participation in recreational activities (vigorous recreational activities: OR = 0.548, 95% CI, 0.462-0.648, P < 0.001; moderate recreational activities: OR = 0.629, 95% CI, 0.549-0.721, P < 0.001) significantly reduced oral health care needs. In addition, sleep duration of 7-9 h was associated with lower oral health care needs compared to less or more sleep duration (<7 h or > 9 h) (OR = 0.851, 95% CI, 0.741-0.976, P = 0.021). Mediation analysis suggested that white blood cell (WBC) counts and high-sensitivity C-reactive protein (hs-CRP) concentrations acted significant mediating roles in the association between recreational activities and oral problems.

CONCLUSIONS

The possible beneficial effects of healthy lifestyle behaviors on oral health will guide individuals to develop good habits, thereby reducing the burden of oral diseases.

Sleep Duration and Risk of Periodontitis-A Systematic Review and Meta-Analysis

Periodontitis, with a high prevalence in the whole population, is the main cause of tooth loss. Some studies have revealed that sleep duration may be related to periodontitis, however, the opinions are not consistent. This meta-analysis was carried out to study the potential relationship between sleep duration and periodontitis. A search of relevant articles was conducted on Embase, PubMed, Cochrane Library, and Web of Science. Papers published until the end of November 2022 reporting associations between sleep duration and periodontitis were considered. The pooled odds ratio (OR) with a 95% confidence interval (CI) was calculated to assess the association. Software STATA 14.0 was employed to conduct this analysis. A total of 11 cross-sectional studies were included. Our study showed neither short sleep duration (SSD) nor long sleep duration (LSD) were associated with periodontitis (SSD: OR = 1.04, 95% CI: 0.83, 1.29; LSD: OR = 1.12, 95% CI: 0.94, 1.23), while higher prevalence was observed when sleep duration ≤5 h (OR = 1.41, 95% CI: 1.33, 1.51). In addition, both SSD and LSD were not associated with severe periodontitis (SSD: OR = 0.94, 95% CI: 0.75, 1.16; LSD: OR = 1.19, 95% CI: 0.80, 1.76). In conclusion, the present review indicated that too little sleep duration (≤5 h) significantly increased the risk of periodontitis. However, the evidence is limited due to cross-sectional design of most studies, Hence longitudinal studies should be conducted to support this finding.

Association of Sleep Duration with Tooth Loss and Periodontitis: Insights from the National Health and Nutrition Examination Surveys (2005-2020)

OBJECTIVE

Sleep disorders such as insomnia, apnea, and restless leg syndrome can negatively affect a person's overall health and may cause hypertension, heart failure, and coronary heart disease. Likewise, periodontitis, a gum disease, can lead to both physical and psychological health issues, exerting a considerable effect on one's overall well-being-periodontitis stands as a primary cause of tooth loss. Nevertheless, there has been insufficient research on the correlation between the amount of sleep individuals get and the occurrence of periodontitis/tooth loss among Americans. Therefore, this study aimed to assess the influence of sleep length on periodontitis in the American population.

METHODS

Periodontitis severity was classified (none, mild, moderate, and severe) using American Periodontal Association criteria. Sleep duration was assessed by self-reported data and categorized into three groups (deficient, adequate, and excessive). Tooth loss was assessed by the oral examination. To establish a connection between the duration of sleep and periodontitis/tooth loss, a weighted multivariable logistic regression analysis was employed. A GAM analysis and smooth curve fitting assessment were conducted to identify non-linear relationships. Subgroup, interaction, and mediation analyses were also performed.

RESULTS

The prevalence of tooth loss was significantly high, affecting 96.4% of the individuals, whereas 46.6% of the study sample experienced moderate to severe periodontitis. The average age of participants was 52.7 years. After adjusting for potential confounding factors, the analysis of weighted multivariable logistic regression revealed a significant association between sleep insufficiency and moderate/severe periodontitis (OR 1.15, 95% CI 1.01-1.30, P = 0.0298), as well as tooth loss (OR 1.16, 95% CI 1.01-1.33, P = 0.0371). Additionally, the research showed a correlation between the length of sleep and periodontitis that followed a U-shaped pattern. In addition, the analysis of mediation revealed that high blood pressure explained 7.0% (95% CI 4.0% to 12.9%; P < 0.0001) of the link between the amount of sleep and the likelihood of losing teeth.

CONCLUSION

Sleep duration was independently correlated with moderate/severe periodontitis/tooth loss and had a non-linear relationship.

Association Between `Life's Essential 8` and Periodontitis: A Cross-Sectional Study From the NHANES Database

BACKGROUND

Periodontitis is a chronic inflammatory disease, and the persistent inflammatory state it confers may lead to cardiovascular disease. Studies have shown that `Life's Essential 8 (LE8)`, an indicator of cardiovascular health, was associated with the risk of several inflammatory diseases. This study aimed to assess the association between LE8 and its subsets and the risk of periodontitis.

METHODS

Data of participants who consented to periodontitis examinations were extracted from the National Health and Nutrition Examination Surveys (NHANES) database (2009-2014). LE8 contains 4 health behaviours (diet, physical activity, nicotine exposure, sleep health) and 4 health factors (body mass index, blood lipids, blood glucose, and blood pressure) and was categorised into low (0-49), moderate (50-79), and high (80-100) levels. Covariates included demographic information, laboratory values, disease history, and medication history. Weighted univariate and multivariate logistic regression models were performed to assess the association between LE8 and periodontitis, with odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses based on age, gender, and cardiovascular disease (CVD) history were further assessed the association.

RESULTS

A total of 5106 adults were included, of whom 2606 (51.04%) had periodontitis. After adjustment for age, gender, race, poverty-to-income ratio, education level, marital status, drinking, CVD, nonsteroidal anti-inflammatory agents, waist circumference (WC), vitamin D, and dental floss using, a high LE8 score (odds ratio [OR], 0.48; 95% confidence interval [CI], 0.32-0.73), a higher health behaviours score (OR, 0.56; 95% CI, 0.42-0.73), and a higher health factors score (OR, 0.71; 95% CI, 0.51-0.99) were associated with a lower occurrence of periodontitis, especially in adults who were male, younger than 60 years, and without a history of CVD. Moreover, the occurrence of periodontitis decreased when scores of total LE8, health factors, and health behaviours increased every 10 scores.

CONCLUSIONS

LE8 score and its subscale scores were associated with lower odds of periodontitis. Promoting improved cardiovascular health may be beneficial to reduce the burden of periodontitis.

The relationship between oral health and sleep quality in community-dwelling older adults

Introduction

The assessment of the sleep status of older adults and its relationship to oral health can help determine their well-being and quality of life. In accordance with this purpose, we aimed to evaluate the relationship between oral health and sleep quality in community-dwelling older adults in an urban area.

Materials and Methods

The data of this study were taken from the Kayseri Elderly Health Study. The study group was administered a questionnaire form and the Pittsburgh Sleep Quality Index. A specialist dentist examined the oral health conditions (dentures use; caries; deficient, filled, natural teeth numbers; periodontal health) using the Community Periodontal Index and the Oral Health Impact Profile-14 (OHIP-14-TR).

Results

One hundred forty (38.1%) of the study group were female, and 227 (61.9%) were male. When evaluated in terms of oral hygiene, there was a statistically significant difference between those with good sleep quality and poor sleep quality in terms of mechanical interventions such as using toothpaste and an inter-dental brush, and also, OHIP-14-TR was significant. In the binary logistic regression analysis, OHIP-14-TR was found to be a significant risk factor, reflecting only the subjective interpretation of the older adults in terms of oral health-related quality of life (odds ratio: 1.069, 95.0% confidence interval: 1.043-1.096).

Conclusion

This is the first epidemiologic study to examine the relationship between oral health status and sleep quality, in which many oral health indicators are evaluated together in Turkish community-dwelling older adults. OHIP-14-TR may be a useful tool to employ in sleep disorder clinics for older people.

Implications of sleep disorders for periodontitis

PURPOSE

Periodontitis is a chronic inflammatory disease caused by multi-factors. Sleep is a natural physiologic process, and the sleep duration, quality, and patterns might be associated with periodontitis. Meanwhile, periodontitis might in turn induce systemic inflammation and thus impact sleep in different ways as well.

METHODS

To investigate the bidirectional relationship between sleep disorder and periodontitis, a literature search was conducted to reveal the interaction and possible mechanism between these two diseases.

RESULTS

The results show that sleep disorders can affect the progression of periodontitis via some pathomechanisms, and periodontitis also has a reverse impact on sleep.

CONCLUSION

Although the epidemiologic and clinical trials found the possible associations between sleep disorder and periodontitis, their relationship is still not that explicit. Further studies are warranted to shed light on them, to improve preventive health care.

Is insufficient sleep duration a risk indicator for periodontal disease? A systematic review

OBJECTIVES

In this study, we conducted a systematic review and meta-analysis to assess whether people who achieved <7 h of sleep were more likely to develop periodontal disease (PD).

SOURCES

We executed electronic searches in the PubMed, EMBASE and Cochrane Library, as well as a manual search of articles published by leading journals in related fields, for observational studies, published in English from 1 January 1966 to 31 March 2021.which evaluated the relationship between sleep duration and PD. The Agency for Healthcare Research and Quality (AHRQ) quality evaluation scale was used for the cross-sectional studies, and the random effects model was used to summarize the effect sizes in the included studies with a 95% confidence interval (CI).

RESULTS

A total of six cross-sectional studies met the inclusion criteria, totaling 107,777 participants, of which 69,773 had PD. The results of the present indicated that shorter sleep duration (<7 h) is significantly associated with PD (Odd ratio [OR], 1.19; 95% CI, 1.16-1.23; p < 0.001; I² , 0.0%, I² interval, 0%-75%). The strength of the sensitivity analysis and cumulative meta-analysis confirmed the reliability of the results.

CONCLUSION

Although the inclusion of only six studies makes it difficult to explore whether there is a publication bias, we found that insufficient sleep duration was closely related to PD, and we therefore speculated that getting enough sleep may help prevent PD.

Comparison of Time-Frequency Analyzes for a Sleep Staging Application with CNN

Sleep staging is the process of acquiring biological signals during sleep and marking them according to the stages of sleep. The procedure is performed by an experienced physician and takes more time. When this process is automated, the processing load will be reduced and the time required to identify disease will also be reduced. In this paper, 8 different transform methods for automatic sleep-staging based on convolutional neural networks (CNNs) were compared to classify sleep stages using single-channel electroencephalogram (EEG) signals. Five different labels were used to stage the sleep. These are Wake (W), Non Rapid Eye Movement (NonREM)-1 (N1), NonREM-2 (N2), NonREM-3 (N3), and REM (R). The classifications were done end-to-end without any hand-crafted features, ie without requiring any feature engineering. Time-Frequency components obtained by Short Time Fourier Transform, Discrete Wavelet Transform, Discrete Cosine Transform, Hilbert-Huang Transform, Discrete Gabor Transform, Fast Walsh-Hadamard Transform, Choi-Williams Distribution, and Wigner-Willie Distribution were classified with a supervised deep convolutional neural network to perform sleep staging. The discrete Cosine Transform-CNN method (DCT-CNN) showed the highest performance among the methods suggested in this paper with an F1 score of 89% and a value of 0.86 kappa. The findings of this study revealed that the transformation techniques utilized for the most accurate representation of input data are far superior to traditional approaches based on manual feature extraction, which acquires time, frequency, or nonlinear characteristics. The results of this article are expected to be useful to researchers in the development of low-cost, and easily portable devices.

Sleep duration and severe periodontitis in middle-aged Japanese workers

AIM

To evaluate the association between sleep duration and severe periodontitis in Japanese workers.

MATERIALS AND METHODS

This cross-sectional study included 1130 workers (mean age 43.0 years) who underwent full-mouth periodontal examinations and health check-ups and completed a self-administered questionnaire that included questions on sleep duration. Logistic regression and a restricted cubic spline model were used to analyse the data.

RESULTS

Severe periodontitis was identified in 6.3% of the study population. Those with <5, 5-5.9, 6-6.9, 7-7.9, and ≥8 hr of sleep were 6.7%, 17.4%, 40.3%, 26.3%, and 8.9%, respectively. After adjusting for potential confounders, study participants who slept <5 hr were more likely to have severe periodontitis (adjusted odds ratio = 2.64; 95% confidence interval = 1.06-6.60) than those who slept 7-7.9 hr. The spline model, with a reference value of 399 min (the median sleep duration), showed a non-linear association between sleep duration and severe periodontitis, where an increased prevalence of severe periodontitis was observed only among those with a shorter sleep duration. The prevalence of severe periodontitis did not increase with longer sleep duration.

CONCLUSIONS

Short sleep duration was associated with severe periodontitis in this cohort of Japanese adults.

Association of short sleep with risk of periodontal disease: A meta-analysis and Mendelian randomization study

AIM

The aim of this meta-analysis and Mendelian randomization (MR) study was to assess the association between short sleep and periodontal disease, including tooth loss and periodontitis.

MATERIALS AND METHODS

The meta-analysis of relevant studies was conducted to assess the association between short sleep and periodontal disease. MR analyses were conducted with the inverse-variance-weighted (IVW) method, weighted median method, MR-Egger method, and MR-Robust Adjusted Profile Score (RAPS) method to assess the causal effect of short sleep on tooth loss and periodontitis.

RESULTS

Seven cross-sectional studies involving 40,196 individuals were included in the meta-analysis. The association between short sleep and periodontal disease was not statistically significant (odds ratios (OR) =1.13, 95% confidence interval (CI): 0.99, 1.28; p = 0.076). In the MR analysis, we did not observe statistically significant causal associations of genetically determined short sleep with tooth loss (β: -0.056; 95% CI: -0.181 to 0.068; p = 0.376) and periodontitis (β: -0.112; 95% CI: -0.340 to 0.117; p = 0.339).

CONCLUSIONS

Short sleep is not associated with the risk of periodontal disease according to current evidence. Future studies need to pay attention to the measurement of sleep duration, the choice of statistical models, and other domains of sleep health.

Are periodontal diseases associated with sleep duration or sleep quality? A systematic review

OBJECTIVES

This study aimed to systematically review the associations between periodontal diseases/tooth loss and sleep duration/quality.

MATERIAL AND METHODS

PubMed, Scopus, and Embase databases were searched (up to May 2021) to identify studies that assessed the association between periodontal diseases or number of teeth with sleep quality and sleep duration. Two researchers independently selected the studies and extracted the data. Considering the high heterogeneity among the included studies, meta-analysis was deemed unviable. Results are presented descriptively for sleep quality (studies that have used PSQI), self-reported sleep hours, and other tools that assessed sleep patterns.

RESULTS

Twenty studies (16 cross-sectional, two case-control, and two cohort) were included. Eight studies used the Pittsburgh Sleep Quality Index (PSQI) to assess quality of sleep. Six of these studies demonstrated that individuals with worse periodontal conditions demonstrated poorer sleep quality. However, most of the included studies that performed adjusted analysis showed no statistically significant association between self-reported hours of sleep and periodontitis. The mean number of present teeth was assessed in four studies; three of them demonstrated lower numbers of present teeth in individuals with inadequate sleep.

CONCLUSION

The literature shows conflicting results for the association between sleep hours and periodontitis. However, inadequate sleep may be associated with lower number of present teeth and periodontal diseases. Further studies are necessary in order to confirm these results.

Depression is related to edentulism and lack of functional dentition: An analysis of NHANES data, 2005-2016

OBJECTIVE

Depression and tooth loss are significant health problems that affect individuals' functionality and quality of life. Comorbidity between depression and oral diseases has been reported. The aim of this study was to investigate the association between depression and tooth loss in a US representative adult sample.

METHODS

This study included data from 22,532 adults ≥18 years by combining six 2-year cross-sectional cycles of the National Health and Nutrition Examination Survey (NHANES) administered between 2005 and 2016. Data were analyzed using descriptive statistics and multinomial logistic regression adjusted for gender, age, race/ethnicity, smoking, education, socioeconomic status, body mass index, diabetes, and alcohol intake.

RESULTS

Of the total sample, 4.5 percent were edentulous, 10.3 percent were lacking functional dentition (1-19 remaining teeth) and 85.2 percent had functional dentition (≥20 remaining teeth); among whom, the prevalence of depression was 12.4, 11.7, and 5.9 percent, respectively. Compared to individuals without depression, those with depression were more likely to be edentulous or lacking functional dentition versus having functional dentition (adjusted odds ratios (95% CI): 1.48 (1.16-1.89) and 1.43 (1.18-1.75), respectively).

CONCLUSIONS

Depression was associated with edentulism and a lack of functional dentition. Further longitudinal and interventional studies are needed to elucidate the nature and direction of the relationship between depression and tooth loss.