Objective: To determine the associations between clinically measured physical functioning variables and self-reported performance in mobility, self-care, and domestic life in ambulatory persons with multiple sclerosis (MS), using the International Classification of Functioning, Disability and Health (ICF) as a framework.
Design: Survey study.
Setting: Community setting in Finland.
Participants: A population-based sample of 120 ambulatory persons with MS (30 men, 90 women) with mean age 45.0+/-10.8 years (range, 20-71 y), mean disease duration from symptom onset 12.3+/-8.8 years (range, 1-39 y), and mean Expanded Disability Status Scale 2.8+/-2.0 (range, 0-6.5).
Interventions: Not applicable.
Main Outcome Measures: The primary dependent variables were self-reported performance in self-care, mobility, and domestic life from the Functional Status Questionnaire. The physical functioning variables were drawn from the ICF activities (n=9) and body functions (n=14) categories. Age- and sex-adjusted odds ratios from multinomial logistic regression were estimated for the physical functioning variables associated with activities of daily living (ADL) performance.
Results: Overall, of this cohort 31% reported difficulties or dependence in self-care, 52% in mobility, and 68% in domestic life. The most significant predictors of perceived difficulties or dependence in ADL performance were: (1) lower scores in the Box and Block Test; (2) lower Berg Balance Scale scores; (3) greater velocity moment when standing with eyes open; (4) slower ten-meter walk test times and shorter stride length at normal speed; and (5) shorter distance in the six-minute walk test.
Conclusions: Perceived difficulties and dependence were most prominent in domestic life. In particular, measures of activities predicted difficulties in ADL performance. Monitoring of physical functioning should be extended to those independent MS persons reporting difficulties in ADL performance.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.apmr.2007.07.032 | DOI Listing |
Eur J Orthod
December 2024
Professor, Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul 02453, Republic of Korea.
Objectives: We aimed to characterize a craniofacial skeletal phenotype (CSP) of adult obstructive sleep apnea (OSA) patients from a multidimensional perspective, exploring the impact of transverse skeletal discrepancy (TSD) on multivariable polysomnographic profiles.
Materials And Methods: This retrospective, cross-sectional study included 102 adult OSA patients. Sagittal, vertical, and transverse skeletal patterns were categorized on the cone beam computed tomography images.
J Dent Sci
January 2025
Graduate Institute of Clinical Dentistry, School of Dentistry, National Taiwan University and National University Hospital, Taipei, Taiwan.
Background/purpose: Dental implants can restore both function and aesthetics in edentulous areas. However, the absence of cushioning mechanical behavior in implants may limit their clinical performance and reduce the long-term survival rates. This study aimed to establish an implant cushion mechanism that mimicked the natural periodontal ligament, utilizing the properties of composite hydrogels.
View Article and Find Full Text PDFJ Dent Sci
January 2025
Division of Physiology, Department of Health Promotion, Kyushu Dental University, Kitakyushu, Japan.
Background/purpose: OpenAI's GPT-4V and Google's Gemini Pro, being Large Language Models (LLMs) equipped with image recognition capabilities, have the potential to be utilized in future medical diagnosis and treatment, ands serve as valuable educational support tools for students. This study compared and evaluated the image recognition capabilities of GPT-4V and Gemini Pro using questions from the Japanese National Dental Examination (JNDE) to investigate their potential as educational support tools.
Materials And Methods: We analyzed 160 questions from the 116th JNDE, administered in March 2023, using ChatGPT-4V, and Gemini Pro, which have image recognition functions.
Biomater Transl
November 2024
Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, China.
The skeletal system, composed of bones, muscles, joints, ligaments, and tendons, serves as the foundation for maintaining human posture, mobility, and overall biomechanical functionality. However, with ageing, chronic overuse, and acute injuries, conditions such as osteoarthritis, intervertebral disc degeneration, muscle atrophy, and ligament or tendon tears have become increasingly prevalent and pose serious clinical challenges. These disorders not only result in pain, functional loss, and a marked reduction in patients' quality of life but also impose substantial social and economic burdens.
View Article and Find Full Text PDFBiomater Transl
November 2024
Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, School of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong Province, China.
Cardiovascular diseases are a leading cause of death worldwide, and effective treatment for cardiac disease has been a research focal point. Although the development of new drugs and strategies has never ceased, the existing drug development process relies primarily on rodent models such as mice, which have significant shortcomings in predicting human responses. Therefore, human-based in vitro cardiac tissue models are considered to simulate physiological and functional characteristics more effectively, advancing disease treatment and drug development.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!