Objective: The aim of the present study was to compare the self-reported oral health knowledge, habits and attitudes of adults in Portugal, Romania and Sweden, each benefitting from a different oral health system.
Methods: A cross-sectional study was conducted on 1081 adults in the three countries, using an adapted version of the WHO oral health questionnaire. This survey took place between November 2015 and June 2016.
Results: The mean age of the respondents was 46.85 with 95% CI (45.84, 47.86). Over 85% of the Portuguese and the Swedish, but only 55% of the Romanians, reported having 20 or more teeth left (P < 0.001). Most Swedes visit the dental office regularly, but only 50.5% of the Portuguese and 20.6% of the Romanians do so (P < 0.001). Interdental cleaning aids and fluoridated toothpaste were used the most in Sweden and the least in Romania. Daily consumption of sweets was lowest for Portugal and highest for Romania (P < 0.001), and daily intake of fresh fruits and vegetables was lowest for Sweden (P < 0.001).
Conclusions: There is a difference between the three countries regarding oral health, diet, dental attendance and oral health-related quality of life, with Romania being in most need of improvement in these areas. The differences could be explained by the distinct healthcare systems adopted by the countries.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/idh.12408 | DOI Listing |
PLoS One
January 2025
Department of Microbiology and Hygiene, Mymensingh, Bangladesh.
Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen associated conditions like septicaemia, respiratory disorders, and diarrhoea in poultry, particularly in Japanese quail (Coturnix japonica). The infection causes huge economical losses due to its high transmissibility, mortality and zoonotic potential.
View Article and Find Full Text PDFPLoS One
January 2025
Discipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Background: Diabetes mellitus (DM) is a global health problem. Adherence to intensive insulin therapy is necessary to achieve better glycemic control in types 1 and 2 DM. This study aimed to evaluate the extent of adherence to insulin therapy, its predictors and to identify barriers to its adherence.
View Article and Find Full Text PDFPLoS One
January 2025
Substitutive Dental Sciences Department (Prosthodontics), College of Dentistry, Taibah University, Al Madinah, Saudi Arabia.
Background: This study aimed to investigate the quality and readability of online English health information about dental sensitivity and how patients evaluate and utilize these web-based information.
Methods: The credibility and readability of health information was obtained from three search engines. We conducted searches in "incognito" mode to reduce the possibility of biases.
PLoS One
January 2025
Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal.
This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.
View Article and Find Full Text PDFScand J Clin Lab Invest
January 2025
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Background: Direct oral anticoagulants (DOACs) can interfere with coagulation analyses, causing erroneous results such as false-positive lupus anticoagulant and false-normal antithrombin, threatening patient safety when overlooked. A test using a prothrombin time quotient method to detect DOAC presence in plasma samples is now commercially available, the MRX PT DOAC, with the result expressed as Clot Time Ratio (CTR).
Objectives: Evaluate the ability of MRX PT DOAC to identify interfering apixaban or rivaroxaban concentrations, identify non-interfering or interfering patient samples, and detect whether a patient is on DOAC treatment.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!