Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Attiya, Nourdinea; b; | Fattahi, Rkiaa; c | Amarouch, Mohamed-Yassined | El-haidani, Ahmede | El Jaafari, Samira; b | Filali-Zegzouti, Younesa; b
Affiliations: [a] B.A.S.E Laboratory, Moulay Ismail University, Meknes, Morocco | [b] Cluster of Competence on Health & Environment, Moulay Ismail University/VLIR-UOS, Meknes, Morocco | [c] Higher Institute of Nursing Professions and Health Techniques, Errachidia, Morrocco | [d] R.N.E Laboratory, Multidisciplinary Faculty of Taza, Sidi Mohammed Ben Abdellah University, Fez, Morocco | [e] Ethnopharmacology and Pharmacognosy Team, Faculty of Sciences and Technology of Errachidia, Moulay Ismail University, Meknes, Morocco
Correspondence: [*] Address for correspondence: Dr. Nourdine Attiya, DMD, PhD, B.A.S.E Laboratory, Cluster of Competence on Health & Environment, Moulay Ismail University/VLIR-UOS, Marjane 2, BP 298, Meknes, Morocco. E-mail: nourdineattiya@gmail.com
Abstract: BACKGROUND:Dentists using dental amalgam are chronically exposed to low doses of elemental mercury. The complex toxico-kinetics of this systemic toxicant results in polymorphic and variable clinical phenotypes. In this context, adapted statistical methods are required to highlight potential adverse effects of occupational mercury exposure on dentists’ health. OBJECTIVE:The present study aims to analyze the distribution of self-reported subjective symptoms, commonly associated with chronic mercury poisoning, according to occupational mercury exposure in a population of Moroccan liberal dentists. METHODS:In order to achieve the defined objectives, a three-step latent class regression was fitted. First a latent class analysis was performed to cluster the studied population according to their declared symptoms. Dentists were then classified in the defined latent classes based on their posterior probabilities. Finally, a logistic regression is fitted to identify predictors associated with the latent classes’ membership. RESULTS:The final obtained model showed acceptable calibration and discrimination. Its interpretation revealed that the increase of the frequency of amalgam use was associated with significant higher odds of belonging to the high risk latent class. CONCLUSIONS:The present study represents an initial step towards the development of diagnosis model that predict clinical profiles according to occupational mercury exposure.
Keywords: Mercury, dental amalgam, dentist, Morocco, latent class analysis
DOI: 10.3233/JRS-210052
Journal: International Journal of Risk & Safety in Medicine, vol. 34, no. 4, pp. 313-323, 2023
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl