Results 101 to 110 of about 85,463 (218)
Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
wiley +1 more source
Fewer posterior masticatory units (PMUs) are associated with higher mortality, partly explained by diet quality. This association is attenuated by posterior prosthetic rehabilitation and is no longer evident when ≥ 5 PMUs are restored with implant‐supported prostheses. ABSTRACT Aim To (i) evaluate the association between posterior masticatory unit (PMU)
John Rong Hao Tay +2 more
wiley +1 more source
Study Design in Clinical and Epidemiologic Research: Observational, Experimental, and Beyond
Population‐based epidemiology and clinical research are complementary and mutually reinforcing: Epidemiology quantifies disease incidence/prevalence and elucidates environmental and social determinants in populations, whereas clinical research evaluates biomarkers, therapeutics, and prognostic outcomes in patients; their convergence underpins ...
Gustavo G. Nascimento +3 more
wiley +1 more source
Artificial Intelligence in Periodontology: A Systematic Review
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy +7 more
wiley +1 more source
Tooth loss compromising functional dentition doubles the odds of poor oral health‐related quality of life (OR 2.08), while complete tooth loss nearly quadruples them (OR 3.99). These findings from a systematic review of population‐based studies underscore tooth preservation as a critical public health priority.
Fabio R. M. Leite +5 more
wiley +1 more source
Osteoporosis and Periodontitis: Two‐Way Epidemiological and Mechanistic Evidence
This review investigates the main mechanistic pathways connecting local periodontitis to systemic osteoporosis. Seven interconnected mechanisms are identified. ABSTRACT Osteoporosis and periodontitis are highly prevalent, chronic inflammatory diseases that constitute a major global health burden.
Jia Chang +3 more
wiley +1 more source
Oral Health, Periodontitis, and Respiratory Diseases: Biological Pathways
This narrative review aims to provide a comprehensive update on the potential mechanisms by which poor oral health and periodontitis impact lung health, focusing on pneumonia, COPD, and asthma. ABSTRACT Poor oral hygiene and periodontitis influence lung diseases such as pneumonia, chronic obstructive pulmonary disease (COPD), COVID‐19, and asthma.
Raluca P. Vacaru +2 more
wiley +1 more source
The aim of this SR was to investigate the risk of metabolic syndrome (MetS) and its single components in individuals with or without periodontitis/edentulism. Within the limits of this SR, periodontitis was associated with one or more new MetS components and the association may be higher for severe periodontitis.
Luigi Barbato +6 more
wiley +1 more source
The IMPOSTERS study analysed 150 recurring ‘human’ Simpsons characters and found that periodontitis or tooth loss was associated with a 23‐fold higher hazard of all‐cause mortality. This was reported in the Simpsons universe, with the death of ‘Bleeding Gums’ Murphy, 3 years before the first such reports in our universe.
Praveen Sharma, Thomas Dietrich
wiley +1 more source
Protein Decoys, Alcohol, and Energy Intake: Testing a Mechanistic‐Ecological Model
ABSTRACT Ultra‐processed diets are associated with excessive energy intake, but studies examining the role of alcohol have produced conflicting results, despite the high energy density of ethanol. We constructed a mechanistic‐ecological model to explain this inconsistency and tested its predictions using population dietary data.
Amanda Grech +2 more
wiley +1 more source

