Results 121 to 130 of about 11,696 (237)

Influence of Sleep and Wakefulness States and Physical Activity on Chronic Pain in Temporomandibular Disorders

open access: yesJournal of Oral Rehabilitation, Volume 53, Issue 1, Page 175-183, January 2026.
The present study suggested that jaw pain decreased when sleep satisfaction of the previous night was high, more physical activity on the previous day was associated with less jaw pain, and the jaw pain on the day of the study was more intense when the jaw pain on the previous day was severe.
Koichiro Uno   +4 more
wiley   +1 more source

Psihološki i psihijatrijski čimbenici temporomandibularnog poremećaja [PDF]

open access: yes, 2010
Temporomandibular disorders (TMD) is an umbrella term covering a series of pathologic conditions which can have similar signs and symptoms and which lead to an imbalance in the normal functioning of stomatognatic system.
Danijel Buljan
core   +1 more source

Stress‐, Anxiety‐, and Gender‐Related Modulation of Masseter Muscle Activity During Wakefulness

open access: yesJournal of Oral Rehabilitation, Volume 53, Issue 1, Page 202-210, January 2026.
Stress‐, anxiety‐, and gender‐related factors jointly affect masseter muscle activity during wakefulness. ABSTRACT Background Psychological stress and anxiety are known to influence muscle activity, particularly in the masticatory system. However, the interactive effects of stress, trait anxiety, and gender on objective masseter muscle activity remain ...
Suvichaya Angkulmahasuk   +3 more
wiley   +1 more source

Prevalência de Bruxismo e associação com Respiração Bucal em pré-escolares de Florianópolis, SC [PDF]

open access: yes, 2015
TCC (graduação) - Universidade Federal de Santa Catarina. Centro de Ciências da Saúde. Odontologia.O objetivo deste estudo foi determinar a prevalência do bruxismo e associá-lo com respiração bucal em pré-escolares de 2 a 5 anos de Florianópolis/Brasil ...
Antunes, Elis Cristina
core  

Non‐Nutritive Sucking (NNS)–Multifaceted Benefits and Limitations: Systematic Review

open access: yesHealth &Social Care in the Community, Volume 2026, Issue 1, 2026.
Background Nonnutritive sucking (NNS) is a common behavior observed in neonates and infants, characterized by sucking motions not associated with nutritional intake. This reflexive activity plays a significant role in early neurobehavioral development and is often considered an indicator of central nervous system maturity.
Hanna Popowicz   +6 more
wiley   +1 more source

Bruxism: An Unsolved Problem in Dental Medicine [PDF]

open access: yes, 2004
Bruksizam je stanje za koje se može reći da prati čovjeka gotovo od njegova postanka - od barbarskih vremena, do današnjega modernog, stresom opterećenog čovjeka. Prema American Dental Association, čestoća bruksizma danas varira od 5 do 20 %.
Ketij Mehulić, Vladimir Basić
core   +1 more source

Effect of Self‐Care on Temporomandibular Disorder in Drug‐Controlled Rheumatoid Arthritis Patients

open access: yesInternational Journal of Clinical Practice, Volume 2026, Issue 1, 2026.
Objectives Temporomandibular disorders (TMDs) in patients with rheumatoid arthritis (RA) can lead to orofacial pain and dysfunction of the temporomandibular joint (TMJ). Self‐care is a recognized primary intervention for controlling TMDs, offering a simple reversible treatment, since there is no specific treatment protocol for TMDs in RA patients. This
Hosna Bahrami   +3 more
wiley   +1 more source

Evaluation of Changes in Sleep Bruxism Patterns produced by two Types of Thermoformed Retainers [PDF]

open access: diamond, 2014
Miryan Fernanda Polanía Castillo   +2 more
openalex   +1 more source

Coherence of jaw and neck muscle activity during sleep bruxism [PDF]

open access: hybrid, 2020
Simone Gouw   +7 more
openalex   +1 more source

Experimental Analysis of Automatic Discrimination Performance Between Simulated Bruxism and Non‐Bruxism Under Conscious Conditions Using Electromyography and Machine Learning

open access: yesInternational Journal of Dentistry, Volume 2026, Issue 1, 2026.
Purpose This study aimed to evaluate the potential use of machine learning to automatically classify electromyography (EMG) data into bruxism simulated movement with tooth contact (BMwTC), bruxism simulated movement without tooth contact (BMwoTC), and non‐bruxism movement (non‐BM).
Hajime Minakuchi   +8 more
wiley   +1 more source

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