Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study
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 coll...
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| Format: | Article |
| Language: | English |
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Springer
2024-03-01
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| Series: | Saudi Dental Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1013905223002742 |
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| author | Anas Alibrahim Hamza Al Salieti Mohammad Alrawashdeh Hisham Darweesh Hussein Alsaleh |
| author_facet | Anas Alibrahim Hamza Al Salieti Mohammad Alrawashdeh Hisham Darweesh Hussein Alsaleh |
| author_sort | Anas Alibrahim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-32d0d00a4a5d48008f26adac2d1e2f4b |
| institution | DOAJ |
| issn | 1013-9052 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Saudi Dental Journal |
| spelling | doaj-art-32d0d00a4a5d48008f26adac2d1e2f4b2025-08-20T03:18:44ZengSpringerSaudi Dental Journal1013-90522024-03-0136348649110.1016/j.sdentj.2023.12.010Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional studyAnas Alibrahim0Hamza Al Salieti1Mohammad Alrawashdeh2Hisham Darweesh3Hussein Alsaleh4Jordan University of Science and Technology, Faculty of Dentistry, Department of prosthodontics, Irbid, JordanJordan University of Science and Technology, Faculty of Dentistry, Irbid, Jordan; Corresponding author at: Jordan University of Science and Technology, Faculty of Dentistry, Irbid, Jordan.Jordan University of Science and Technology, Faculty of Nursing, Irbid, JordanJordan University of Science and Technology, Faculty of Dentistry, Irbid, JordanJordan University of Science and Technology, Faculty of Dentistry, Irbid, JordanAim: 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.http://www.sciencedirect.com/science/article/pii/S1013905223002742Tooth lossJawEdentulousPartialEpidemiology |
| spellingShingle | Anas Alibrahim Hamza Al Salieti Mohammad Alrawashdeh Hisham Darweesh Hussein Alsaleh Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study Saudi Dental Journal Tooth loss Jaw Edentulous Partial Epidemiology |
| title | Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study |
| title_full | Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study |
| title_fullStr | Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study |
| title_full_unstemmed | Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study |
| title_short | Patterns and predictors of tooth loss among partially dentate individuals in Jordan: A cross-sectional study |
| title_sort | patterns and predictors of tooth loss among partially dentate individuals in jordan a cross sectional study |
| topic | Tooth loss Jaw Edentulous Partial Epidemiology |
| url | http://www.sciencedirect.com/science/article/pii/S1013905223002742 |
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