Prevalence and risk indicators of pain-related temporomandibular disorders among Indonesian children and adolescents

2018 ◽  
Vol 46 (4) ◽  
pp. 400-406 ◽  
Author(s):  
Carolina Marpaung ◽  
Maurits K.A. van Selms ◽  
Frank Lobbezoo
2021 ◽  
Vol 9 (1) ◽  
pp. 01-10
Author(s):  
Natisha Dukhi ◽  
Ronel Sewpaul ◽  
Machoene Derrick Sekgala ◽  
Olushina Olawale Awe

Anemia prevalence, especially among children and adolescents, is a serious public health burden in the BRICS countries. This article gives an overview of the current anaemia status in children and adolescents in three BRICS countries, as part of a study that utilizes an artificial intelligence approach for analyzing anaemia prevalence in children and adolescents in South Africa, India and Russia. It posits that the use of machine learning in this area of health research is still novel. The weightage assessment of the crosslink between anaemia risk indicators using a machine learning approach will assist policy makers in identifying the areas of priority to intervene in the BRICS participating countries. Health interventions utilizing artificial intelligence and more specifically, machine learning techniques, remains nascent in LMICs but could lead to improved health outcomes.


2016 ◽  
Vol 147 (1) ◽  
pp. 10-18.e8 ◽  
Author(s):  
Cristhiani Giane da Silva ◽  
Camila Pachêco-Pereira ◽  
André Luís Porporatti ◽  
Maria Gorete Savi ◽  
Marco A. Peres ◽  
...  

2021 ◽  
Vol 11 (3) ◽  
pp. 108
Author(s):  
MarceloSoares Correa ◽  
KarinaMaria Salvatore de Freitas ◽  
MarcosRoberto de Freitas ◽  
AntônioSergio Guimaraes ◽  
Guilherme Janson

2019 ◽  
Vol 46 (3) ◽  
pp. 291-301 ◽  
Author(s):  
Nikolaos Christidis ◽  
Elisande Lindström Ndanshau ◽  
Amanda Sandberg ◽  
Georgios Tsilingaridis

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Carolina Marpaung ◽  
Frank Lobbezoo ◽  
Maurits K. A. van Selms

Aims. To assess the prevalence rates of pain-related temporomandibular disorders (TMDs) and temporomandibular joint (TMJ) sounds in a large group of Dutch adolescents, aged between 12 and 18 years and to determine if the same biological, psychological, and social risk indicators are related to both TMD pain and TMJ sounds. Methods. In this cross-sectional questionnaire survey, 4,235 questionnaires were analyzed, with an about equal gender distribution. Results. The overall prevalence of pain-related TMDs was 21.6% (26.1% for girls and 17.6% for boys) and that of TMJ sounds was 15.5% (19.3% for girls and 11.7% for boys). Logistic regression analyses revealed that the following variables appeared to be the strongest predictors of TMD pain: female gender, increasing age, sleep bruxism, biting on lips and/or cheeks, stress, and feeling sad. Regarding self-reported TMJ sounds, the multiple regression model revealed that female gender, increasing age, awake bruxism, and biting on lips and/or cheeks were the strongest predictors. Conclusions. TMDs are a common finding among Dutch adolescents. Except for the psychological factors that appeared to be associated with TMD pain only, pain-related TMDs and TMJ sounds shared similar biological risk indicators.


2013 ◽  
Vol 31 (4) ◽  
pp. 538-545 ◽  
Author(s):  
Marina Fernandes de Sena ◽  
Késsia Suênia F. de Mesquita ◽  
Fernanda Regina R. Santos ◽  
Francisco Wanderley G. P. Silva ◽  
Kranya Victoria D. Serrano

OBJECTIVE: To review the prevalence of temporomandibular disorders (TMD) in children and adolescents, verifying the methodological variations. DATA SOURCES: Research conducted in Medline, PubMed, Lilacs and BBO databases, including manuscripts (except reviews and case reports) published from 1990 to 2012. The descriptors were "temporomandibular joint syndrome", "temporomandibular joint dysfunction syndrome", "temporomandibular joint disorders", "prevalence studies", and "cross-sectional studies"; the words "dysfunction", "disorder", "temporomandibular", "children", "adolescents", "prevalence", "frequency", and "transversal" were used. DATA SYNTHESIS: Seventeen articles were selected, and the TMD frequency varied from 16 to 68%. Regarding the methodological criteria, only three articles (18%) reported sample size determination, three (18%) clearly described the sample selection process by stratified selection technique, and nine studies (53%) carried out the calibration of the examiners. The diagnostic criteria used in the studies were: Helkimo index (n=2; 12%), Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) (n=4; 24%), the jaw index (n=1; 6%), clinical protocols (n=10; 59%), and anamnestic questionnaires (n=6; 35%). CONCLUSIONS: The TMD prevalence in children and adolescents varies in the literature. Appropriate and standardized methods are needed to identify, with greater validity, the presence of TMD in this population, allowing a better understanding of the pathological aspects in order to address more effective preventive and therapeutic procedures.


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