Purpose: This study's purpose was to investigate the prevalence of dental fluorosis in children, whose parents had participated in an oral health program when the children were between zero and three years old, residing in a city with fluoridated water.
Methods: Group 1 consisted of 128 eight- to 12-year-olds whose parents had visited a program on at least five occasions when the children were zero to three years old and received education about tooth-brushing and the proper use of fluoridated toothpaste in this young age group. The prevalence of dental fluorosis in the permanent maxillary incisors, using the Thylstrup-Fejerskov index, in Group 1 was compared to that of an age-matched group of children (n=128) whose parents had not participated in the program (Group 2).
Results: Group 1 mothers reported higher education levels (P<.05). Group 1 children had a significantly lower prevalence (∼42 percent) and severity (P<.05) of dental fluorosis than those in the control group (∼61 percent).
Conclusion: Children whose parents participated in a dental program that included counselling on the proper amount of fluoridated toothpaste when their children were between zero and three years old presented less frequently with dental fluorosis than a control group when examined at eight to 12 years old.
Download full-text PDF |
Source |
---|
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFExpert Rev Endocrinol Metab
January 2025
Faculty of Medicine, University of Cyberjaya, Cyberjaya, Malaysia.
Background: The rapid rise of non-communicable diseases, particularly type 2 diabetes mellitus (T2DM), poses a significant global public health challenge, with South Asia experiencing an increasingly severe burden. This study aimed to analyse historical trends of T2DM across South Asia from 1990 to 2021 and forecast incidence through 2031.
Research Design And Methods: We carried out analysis based on the data from the 2021 Global burden of disease study.
BMC Infect Dis
January 2025
Medical Microbiology Department, Faculty of Applied Sciences, Hajjah University, Hajjah, Yemen.
Background: Dengue fever (DF) is a mosquito-borne viral infection that has recently become a burden worldwide, particularly in low-income countries, such as Yemen. There have been no epidemiological studies on DF in recent years in Yemen. Therefore, based on secondary data, this study aimed to shed light on the epidemiology of DF in Yemen between 2020 and 2024.
View Article and Find Full Text PDFEur Arch Paediatr Dent
January 2025
Unit of Pedodontics and Preventive Dentistry, Oral Health Sciences Centre, PGIMER, Chandigarh, 160012, India.
Aim: To determine the frequency and characteristics of Dense Bone Islands (DBIs) in a paediatric population residing in Chandigarh, India.
Methodology: A total of 3614 orthopantomographs (OPG) of children between the age group of 6-18 years were collected from the database of patients who underwent panoramic radiography for routine dental treatment during the period of 2018-2020. The shape, location of the lesion, and relationship of the Dense Bone Island with the tooth were identified.
J Dent
January 2025
Clinic of General-, Special Care- and Geriatric Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland. Electronic address:
Objectives: The study aimed to assess the prevalence and nature of emotional expressions in care-dependent older adults using an automated face coding (AFC) software. By examining the seven fundamental emotions, the study sought to understand how these emotions manifest and their potential implications for dental care in this population.
Methods: Fifty care-dependent older adults' (mean-age: 78.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!