Dataset Information

Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study.

ABSTRACT:

Aim

This study aimed to examine the patterns of partial edentulism and the associated risk factors in Jordan.

Methods

A cross-sectional, epidemiological study was carried out across Jordan, and data was collected from adult partially dentate patients in various healthcare facilities. The data collected included sociodemographic data, dental and social history, and clinical examination findings for the jaw and teeth. Multivariate regression models were used to determine the predictors for the number of missing teeth.

Results

The sample consisted of 467 partially dentate participants. The leading cause of tooth loss was dental caries (85.4 %), followed by periodontal disease (13.7 %), and trauma (7.5 %). The mean number of missing teeth was significantly higher in the upper jaw (2.5 ± 3.1) compared to the lower jaw (2.2 ± 2.6, p = 0.02). In both jaws, the most prevalent Kennedy classification was Class 3, followed by Class 3/Modification 1 and Class 2/Modification 1. Increased age, smoking, lack of daily tooth brushing, and low education level were significantly associated with high tooth loss.

Conclusions

This study contributes to the understanding of partial edentulism in Jordan, reflecting broader oral health concerns and the factors influencing tooth loss. The findings, vital for future research and interventions, offer insights applicable to global oral health challenges, particularly for at-risk groups.

SUBMITTER: Alibrahim A

PROVIDER: S-EPMC10960125 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study.

Alibrahim Anas A Al Salieti Hamza H Alrawashdeh Mohammad M Darweesh Hisham H Alsaleh Hussein H

The Saudi dental journal 20231227 3

<h4>Aim</h4>This study aimed to examine the patterns of partial edentulism and the associated risk factors in Jordan.<h4>Methods</h4>A cross-sectional, epidemiological study was carried out across Jordan, and data was collected from adult partially dentate patients in various healthcare facilities. The data collected included sociodemographic data, dental and social history, and clinical examination findings for the jaw and teeth. Multivariate regression models were used to determine the predict ...[more]

PMID: 38525178

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Project description:BackgroundDepression and tooth loss are associated with the occurrence of systemic disease or the progression of multi-factorial disease, and both are considered important public health issues by World Health Organization (WHO). Previous research just suggested that tooth loss can generate psychological stress, low self-esteem, anxiety and other emotional disturbances. However, the precise correlation and underlying mechanisms between depression and tooth loss remains poorly understood. Consequently, we aim to explore the association between depression and tooth loss through a cross-sectional study, as well as investigate potential pathways of influence.MethodsWe analyzed data from the National Health and Nutrition Examination Survey (NHANES). Logistic regression models were employed to examine the relationship between depression and tooth loss, as well as the associations among healthy lifestyle, systemic immune-inflammation index (SII), depression and tooth loss. Through the mediating effect analysis by bootstrapping analysis, we evaluated the mediating effects of healthy lifestyle and SII between depression and tooth loss.ResultsDepressed patients were more likely to be toothless, and at the same time showed a tendency to have more missing teeth, with odds ratio (OR) = 1.305 (1.098, 1.551), p = 0.003 for 1-7 missing teeth, OR = 1.557 (1.166, 2.079), p = 0.003 for 8-14 missing teeth, and OR = 1.960 (1.476, 2.603), p<0.001 for 15-28 missing teeth. Lower healthy lifestyle scores and higher SII were both associated with more tooth loss. Healthy lifestyle and SII played a partial mediating role in this relationship, with a mediating effect ratio of 41.691% and 3.289%, respectively.ConclusionsDepression was positively associated with more severe tooth loss, which was partly mediated by lifestyle and SII. Therefore, attention should also be paid to the effects of depression as a mental disorder on physical health, such as depression and tooth loss. Adopting a healthier lifestyle and controlling systemic inflammation may be potential ways to reduce the impact of depression and tooth loss.

Project description:Missing teeth have been linked to incident cardiovascular disease, diabetes, and all-cause mortality. Our previous study revealed that signs of oral infections and inflammatory conditions (i.e., periodontal disease and dental caries) are associated with disadvantageous features of circulating metabolites. This study investigates whether missing teeth and tooth loss, the end points of these diseases, are associated with similar metabolic features. The 2 Finnish population-based studies Health-2000 (n = 6,197) and FINRISK-97 (n = 6,050) were included, as was Parogene (n = 465), a cohort of patients with an indication for coronary angiography. The number of teeth was recorded in clinical examinations. Serum concentrations of 157 metabolites were determined by a nuclear magnetic resonance spectroscopy-based method. Health-2000 participants (n = 3,371) provided follow-up serum samples, and 1,186 of them participated in a repeated oral examination 11 y after the baseline. Linear regression models adjusted for age, sex, smoking, body mass index, and diabetes were fitted to the number of teeth and metabolite measures. The results from the separate cohorts were combined in a fixed-effects meta-analysis. We also analyzed whether the number of teeth at baseline and tooth loss during follow-up were associated with changes in metabolite concentrations. Missing teeth were associated with increased very-low-density lipoprotein-related measures and triglyceride concentrations, as well as with decreased high-density lipoprotein parameters and small particle size. Missing teeth also had an association with low levels of unsaturated fatty acids (FAs), including omega-3 and omega-6 FAs, and elevated proportions of monounsaturated and saturated FAs. The number of teeth at baseline predicted changes in several concentrations, such as measures related to intermediate-density lipoprotein, low-density lipoprotein, and FAs, but no associations with tooth loss during the 11-y follow-up were observed. To conclude, missing teeth are associated with adverse metabolic features characterized by systemic inflammation and several risk factors for cardiometabolic diseases.

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Dataset Information

Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study.

Aim

Methods

Results

Conclusions

Publications

Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study.

Similar Datasets

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