Results 161 to 170 of about 125,324 (315)

Perceived Suitability for Being a Dental Hygienist and Self‐Compassion: A 6‐Month Longitudinal Cohort Study

Journal of Dental Education, EarlyView.
ABSTRACT Objectives Perceived professional suitability—students' judgment of whether they are well‐suited to their profession—may shift within a semester, yet longitudinal evidence in dental hygiene education is limited. We examined 6‐month changes in perceived suitability and their psychological associations.
Maya Izumi, Hsiu‐Yueh Liu, Sumio Akifusa   +2 more
wiley   +1 more source

Implementation of Instrumental Assessment to Assess Dysphagia in Older Adults Receiving Long-Term Care Services: A Scoping Review

Background/Objectives: Dysphagia, a prevalent condition among older adults, poses significant health risks if not accurately assessed and managed. Instrumental assessments (IAs) like videofluoroscopic swallowing study (VFSS) and fiberoptic endoscopic ...
Phoebe Tsz-Ching Shek, Alvis Ki-Fung Kan, Elaine Kwong, Michael Siu-Wai Chan   +3 more
core   +1 more source

The Reality and Direction of Korean Dental Hygiene Education in the Super‐Aged Society

Journal of Dental Education, EarlyView.
ABSTRACT Objectives This study aims to analyze the structural features and key issues of dental hygiene education and the national licensing examination in response to a super‐aged society. To this end, the current status and challenges of Korea's dental hygiene education system are reviewed, and comparative analyses of corresponding systems in the ...
Ji‐Won Choi, Jeewan Chun, Sang‐Hwan Oh   +2 more
wiley   +1 more source

Guidance for the assessment of the dietary intake and gastrointestinal or nutrition impact symptoms etiologic criterion of Global Leadership Initiative on Malnutrition: A modified‐Delphi study

Journal of Parenteral and Enteral Nutrition, EarlyView.
Abstract The GLIM malnutrition diagnostic framework includes the etiologic criterion for reduced dietary intake or assimilation (i.e., digestion or absorption). This criterion required further specification to support consistent use in clinical practice.
Renée Blaauw, Heather Keller, Christine Marie Mills, Gert Bischoff, Charlene Compher, Marian de van der Schueren, Krista Haines, Nicole Kiss, Charles Lew, Ainsley Malone, Claudia Maza Moscoso, Nancy Stoner, Rocco Barazzoni, Jack J. Bell, Madeleine Coetzee, M. Isabel T. D. Correia, Ryoji Fukushima, Elena George, M. Cristina Gonzalez, Leah Gramlich, Yen Peng Lim, Roseann Nasser, Matthias Pirlich, Jacqueline A. E. Langius, Terese Scollard, Nicolette Wierdsma, Marion Winkler, Tommy Cederholm, Gordon L. Jensen   +28 more
wiley   +1 more source

Fiberoptic endoscopic evaluation of swallowing in German stroke units: a retrospective diagnosis-related group analysis (2019-2024). [PDF]

Neurol Res Pract
Ungerer MN, Bartig D, Agredo AM, Braun T, Gumbinger C.   +4 more
europepmc   +1 more source

Association between blenderized tube feeds and differential oropharynx, stomach, and stool microbiome signatures relative to conventional formula feeds in children fed via enteral tube: A cross‐sectional study

Journal of Parenteral and Enteral Nutrition, EarlyView.
Abstract Background Blenderized gastrostomy tube feeds are associated with reduced gastrointestinal symptoms. We hypothesize that patients receiving blenderized tube feeds, compared with standard formula, will have less gastric‐oropharyngeal microbial overlap, a possible biomarker of less gastroesophageal refluxate, and differences in beta diversity in
Bridget M. Hron, Yanjia Jason Zhang, Clare Golden, Christopher Chalmers, Grace Nemec, Elise Delaney, Evrim Ozcan, Michael Kim, Lauren Jalali, Toni Solari, Jasper Brezsny‐Feldman, Eric J. Alm, Lynn Bry, Rachel Rosen   +13 more
wiley   +1 more source

Dysphagia megalatriensis [PDF]

Thorax, 1969
B T, Le Roux, M A, Williams
openaire   +2 more sources

Dysphagia and dyspnea

Deutsches Ärzteblatt international, 2022
Carlo, Schneider, Patricia, Faßbender, Jessica, Leers   +2 more
openaire   +2 more sources

The needle study: Machine learning as a new method for case‐finding in celiac disease

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato, Monica Montuori, Maria Ludovica Costanzo, Giusy Russo, Cosimo Ruggiero, Danila Volpe, Francesca Ferretti, Antonella Diamanti, Carlo Ciliberto, Salvatore Oliva   +9 more
wiley   +1 more source

Dysphagia

International Journal of Clinical Practice, 1965
openaire   +2 more sources