Risk factors for temporomandibular disorder: Binary logistic regression analysis

被引:23
|
作者
Magalhaes, Bruno-Gama [1 ]
de-Sousa, Stephanie-Trajano
de Mello, Victor-Villaa-Cardoso [1 ]
da-Silva-Barbosa, Andre-Cavalcante [1 ]
de-Assis-Morais, Mariana-Pacheco-Lima [1 ]
Barbosa-Vasconcelos, Marcia-Maria-Vendiciano [2 ]
Caldas-Junior, Arnaldo-de-Franca [2 ,3 ,4 ]
机构
[1] Univ Fed Pernambuco, Postgrad Program Dent, BR-50670 90 Recife, PE, Brazil
[2] Univ Fed Pernambuco, BR-50670 90 Recife, PE, Brazil
[3] Univ London, London WC1E 7HU, England
[4] Univ Pernambuco, Recife, PE, Brazil
来源
关键词
Temporomandibular joint disorders; risk factors; prevalence; JOINT DISORDERS; PREVALENCE; SYMPTOMS; POPULATION; SIGNS; PAIN; AGE; POLYMORPHISM; DYSFUNCTION; DIAGNOSES;
D O I
10.4317/medoral.19434
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Objectives: To analyze the influence of socioeconomic and demographic factors (gender, economic class, age and marital status) on the occurrence of temporomandibular disorder. Study Design: One hundred individuals from urban areas in the city of Recife (Brazil) registered at Family Health Units was examined using Axis I of the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) which addresses myofascial pain and joint problems (disc displacement, arthralgia, osteoarthritis and oesteoarthrosis). The Brazilian Economic Classification Criteria (CCEB) was used for the collection of socioeconomic and demographic data. Then, it was categorized as Class A (high social class), Classes B/C (middle class) and Classes D/E (very poor social class). The results were analyzed using Pearson's chi-square test for proportions, Fisher's exact test, nonparametric Mann-Whitney test and Binary logistic regression analysis. Results: None of the participants belonged to Class A, 72% belonged to Classes B/C and 28% belonged to Classes D/E. The multivariate analysis revealed that participants from Classes D/E had a 4.35-fold greater chance of exhibiting myofascial pain and 11.3-fold greater chance of exhibiting joint problems. Conclusions: Poverty is a important condition to exhibit myofascial pain and joint problems.
引用
收藏
页码:E232 / E236
页数:5
相关论文
共 50 条
  • [31] DETERMINATION OF RISK-FACTORS IN LIVER RESECTION - A LOGISTIC-REGRESSION ANALYSIS
    BOLDER, U
    BRUNE, A
    HASSE, FM
    TACKE, J
    LOHLEIN, D
    HEPATOLOGY, 1994, 20 (04) : A125 - A125
  • [32] Logistic regression analysis of risk factors influencing postoperative keloid scar recurrence
    Hu, Xiaotao
    Qiu, Teng
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2024, 16 (09): : 4849 - 4857
  • [33] Primer on binary logistic regression
    Harris, Jenine K.
    FAMILY MEDICINE AND COMMUNITY HEALTH, 2021, 9 (SUPPL_1)
  • [34] Endometrial cancer risk factors in patients with endometrial echogenicity: a logistic regression analysis
    Dong, Xiaojing
    Han, Yang
    EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY, 2024, 45 (05) : 187 - 192
  • [36] RISK-FACTORS FOR MORTALITY AFTER BEREAVEMENT - A LOGISTIC-REGRESSION ANALYSIS
    BOWLING, A
    CHARLTON, J
    JOURNAL OF THE ROYAL COLLEGE OF GENERAL PRACTITIONERS, 1987, 37 (305): : 551 - 554
  • [37] A multiple logistic regression analysis of risk factors in different subtypes of gastric ulcer
    Chen, MH
    Wu, MS
    Lee, WC
    Wang, HP
    Lin, JT
    HEPATO-GASTROENTEROLOGY, 2002, 49 (44) : 589 - 592
  • [39] DOES EPISIOTOMY REDUCE THE RISK OF OASIS? MULTIVARIATE LOGISTIC REGRESSION ANALYSIS OF RISK FACTORS FOR OASIS
    Thiagamoorthy, G.
    Ali, A.
    Sharafudeen, S.
    Araklitis, G.
    Hunter, J. E.
    Robinson, D.
    Cardozo, L.
    INTERNATIONAL UROGYNECOLOGY JOURNAL, 2017, 28 : S10 - S11
  • [40] Factors Affecting Poverty in Nepal - A Binary Logistic Regression Model Study
    Acharya, Krishna Prasad
    Khanal, Shankar Prasad
    Chhetry, Devendra
    PERTANIKA JOURNAL OF SOCIAL SCIENCE AND HUMANITIES, 2022, 30 (02): : 641 - 663