scholarly journals Tooth loss among Saudi adolescents: social and behavioural risk factors

2008 ◽  
Vol 58 (2) ◽  
pp. 103-108 ◽  
Author(s):  
Momen A. Atieh
1996 ◽  
Vol 6 (1) ◽  
pp. 31-36 ◽  
Author(s):  
F. M. Cowan ◽  
A. M. Johnson ◽  
J. Wadsworth ◽  
M. Brennan

Author(s):  
Sonja Rahim-Wöstefeld ◽  
Dorothea Kronsteiner ◽  
Shirin ElSayed ◽  
Nihad ElSayed ◽  
Peter Eickholz ◽  
...  

Abstract Objectives The aim of this study was to develop a prognostic tool to estimate long-term tooth retention in periodontitis patients at the beginning of active periodontal therapy (APT). Material and methods Tooth-related factors (type, location, bone loss (BL), infrabony defects, furcation involvement (FI), abutment status), and patient-related factors (age, gender, smoking, diabetes, plaque control record) were investigated in patients who had completed APT 10 years before. Descriptive analysis was performed, and a generalized linear-mixed model-tree was used to identify predictors for the main outcome variable tooth loss. To evaluate goodness-of-fit, the area under the curve (AUC) was calculated using cross-validation. A bootstrap approach was used to robustly identify risk factors while avoiding overfitting. Results Only a small percentage of teeth was lost during 10 years of supportive periodontal therapy (SPT; 0.15/year/patient). The risk factors abutment function, diabetes, and the risk indicator BL, FI, and age (≤ 61 vs. > 61) were identified to predict tooth loss. The prediction model reached an AUC of 0.77. Conclusion This quantitative prognostic model supports data-driven decision-making while establishing a treatment plan in periodontitis patients. In light of this, the presented prognostic tool may be of supporting value. Clinical relevance In daily clinical practice, a quantitative prognostic tool may support dentists with data-based decision-making. However, it should be stressed that treatment planning is strongly associated with the patient’s wishes and adherence. The tool described here may support establishment of an individual treatment plan for periodontally compromised patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tomotaka Kato ◽  
Natsuki Fujiwara ◽  
Tomohisa Ogawa ◽  
Yukihiro Numabe

Abstract Background Clinical evidence indicates that there are various risk factors of tooth loss. However, the degree of this risk among other risk factors remains unclear. In this retrospective cohort study, the authors evaluated the hazard ratios of several risk factors for tooth loss. Methods Included patients had all been treated for dental disorders, were in the supportive phase of periodontal therapy by dental hygienists, and visited a Japanese dental office continually during a 10-year period. Periodontal parameters, tooth condition, and general status of all teeth (excluding third molars) at the initial visit and at least 10 years later were evaluated by using multiple classification analysis. Results The authors evaluated a total of 7584 teeth in 297 patients (average age: 45.3, mean follow-up time: 13.9 years) Non-vital pulp was the most significant predictor of tooth loss according to Cox hazards regression analysis (hazard ratio: 3.31). The 10-year survival rate was approximately 90% for teeth with non-vital pulp and 99% for teeth with vital pulp. Fracture was the most common reason for tooth loss. Conclusions Non-vital pulp had the most significant association with tooth loss among the parameters. Therefore, it is very important to minimize dental pulp extirpation.


Author(s):  
Supa Pengpid ◽  
Karl Peltzer

Abstract Objectives The study assessed the prevalence and associated factors of behavioural risk factors of non-communicable diseases (NCDs) among adolescents in four Caribbean countries. Content In all 9,143 adolescents (15 years = median age) participated in the cross-sectional “2016 Dominican Republic, 2016 Suriname, 2017 Jamaica, and 2017 Trinidad and Tobago Global School-Based Student Health Survey (GSHS)”. Eight behavioural risk factors of NCDs were assessed by a self-administered questionnaire. Summary Prevalence of each behavioural NCD risk factor was physical inactivity (84.2%), inadequate fruit and vegetable intake (82.2%), leisure-time sedentary behaviour (49.6%), daily ≥2 soft drinks intake (46.8%), ever drunk (28.6%), twice or more days a week fast food consumption (27.6%), having overweight/obesity (27.4%), and current tobacco use (13.8%). Students had on average 3.6 (SD=1.4), and 79.0% had 3–8 behavioural NCD risk factors. In multivariable linear regression, psychological distress and older age increased the odds, and attending school and parental support decreased the odds of multiple behavioural NCD risk factors. Outlook A high prevalence and co-occurrence of behavioural risk factors of NCDs was discovered and several factors independently contributing to multiple behavioural NCD risk factors were identified.


2021 ◽  
pp. 106609
Author(s):  
Parminder Raina ◽  
Muhammad Usman Ali ◽  
Divya Joshi ◽  
Anne Gilsing ◽  
Alexandra Mayhew ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Martinez-Rueda ◽  
M A Camacho ◽  
I J Díaz

Abstract Background The changes generated in the studentś lifestyle due to the academic demands, may favour the prevalence of risk factors for non-communicable diseases as well as compromise other domains of their life. The purpose of this study was to establish the prevalence of behavioural risk factors in students of the Professional in Physical Activity and Sports program of a University in Bucaramanga, Colombia. Methods A cross-sectional study with a sample of 189 students was conducted. The students were surveyed with the first step of the STEPs questionnaire, which evaluates the behavioural risk factors for non-communicable diseases. A descriptive data analysis was performed, and Pearson tests were applied to determine the correlation between the analysed variables with a level of significance α = 0.05 using STATA 13.0. Results 80% of the participants were men. The age average was 22.7 ± 3.85 years. Regarding tobacco use, 10.1% of the participants were current smokers, while 30% smoked before. The majority of the participants (92.2%) have consumed alcohol within the past 12 months, while 69.8% consumed alcohol within the last month, with 8.7% of hazardous drinking. Concerning the diet, only 24.9% met the recommended consumption of fruits and vegetables per day. When assessing physical activity levels, only 6.3% were classified as physically inactive. Additionally, an average of 6 hours of sedentary behaviour was found, with 31.2% of excessive sedentary time. A weak correlation was found between age and academic cycle with the amount of physical activity at work (r = 0.24), (r = 0.18) and with sedentary time (r = -0.28), (-0, 32). Conclusions Although the prevalence of tobacco consumption was slightly higher than the national average, the students showed a lower prevalence of behavioural risk factors than the general population. However, it is necessary to promote strategies aimed at the control and prevention of these risk factors. Key messages Being a student of a program focused on physical activity and sport, can behave as a protective factor against the most prevalent risk factors in university life. It is necessary to implement more strategies centred on making students aware of the importance of the maintenance and improvement of their lifestyles in accordance with their professional profile.


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