Background: The present study examined the correlations between obesity, sarcopenia, and osteoarthritis in Korea's elderly population.

Methods: A cross-sectional analysis of 1,865 and 1,769 respondents with knee osteoarthritis and lumbar spondylosis, respectively, was performed by using data from the 2010 and 2011 Korea National Health and Nutrition Examination Survey. Obesity was defined as a body mass index of ≥25 kg/m; osteoarthritis, as a Kellgren/Lawrence grade of ≥2; and sarcopenia, as an appendicular skeletal muscle mass (ASM; ASM/weight ×100) on dual-energy X-ray absorptiometry of two standard deviations below the mean reference value.

Results: The unadjusted and age-adjusted risks of knee osteoarthritis were as follows: 1.88 and 1.92 times greater, respectively, for male subjects with sarcopenic obesity; 6.03 and 7.64 times greater, respectively, for female subjects with non-sarcopenic obesity; and 1.97 and 2.43 times greater, respectively, for female subjects with sarcopenic obesity. The age-and-waist circumference-adjusted risks were 5.88 and 1.80 times greater for the female subjects with non-sarcopenic and sarcopenic obesities, respectively. No statistically significant finding was obtained for lumbar spondylosis.

Conclusion: Obesity and sarcopenia were associated with knee osteoarthritis in the elderly subjects. The risk of knee osteoarthritis was greater in the male subjects with sarcopenic obesity than in the male subjects with non-sarcopenic obesity. In the female subjects, the risk of knee osteoarthritis was high in both obesity groups. Further research to explain the sex-related difference in knee osteoarthritis risk based on body composition will be beneficial.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484930PMC
http://dx.doi.org/10.7570/jomes.2017.26.1.36DOI Listing

Publication Analysis

Top Keywords

knee osteoarthritis
24
times greater
16
female subjects
16
obesity sarcopenia
12
male subjects
12
subjects sarcopenic
12
sarcopenic obesity
12
greater female
12
subjects non-sarcopenic
12
osteoarthritis
9

Similar Publications

A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays.

Biomed Eng Lett

January 2025

Department of Data Science, University of the Punjab, Allama Iqbal Campus, Lahore, Punjab 54000 Pakistan.

Osteoarthritis (OA) is a musculoskeletal disorder that affects weight-bearing joints like the hip, knee, spine, feet, and fingers. It is a chronic disorder that causes joint stiffness and leads to functional impairment. Knee osteoarthritis (KOA) is a degenerative knee joint disease that is a significant disability for over 60 years old, with the most prevalent symptom of knee pain.

View Article and Find Full Text PDF

Objective: The rehabilitation methods after total knee arthroplasty (TKA) can affect the recovery of complications and joint function, and the selection and comparison of rehabilitation methods after TKA still need further research.

Methods: A comprehensive search of five databases and two clinical trial registration platforms was conducted from inception through March 31, 2024, and conducted to identify eligible randomized controlled trials (RCTs). We extracted the required data according to the Cochrane Handbook for Systematic Reviews of Interventions.

View Article and Find Full Text PDF

Objectives: To evaluate the quality and types of care individuals with mild-to-moderate knee osteoarthritis receive in the Canadian Maritime provinces, and determine associations with demographic, social, and patient-reported factors.

Methods: Individuals with knee osteoarthritis were invited to complete a healthcare quality survey based on the British Columbia Osteoarthritis (BC OA) survey. The cross-sectional descriptive observational survey assessed four healthcare quality indicators: advice to exercise, advice to lose weight, assessment of ambulatory function, and assessment of non-ambulatory function.

View Article and Find Full Text PDF

Dynamic biomechanical effects of medial meniscus tears on the knee joint: a finite element analysis.

J Orthop Surg Res

January 2025

Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China.

Background: Meniscus tears can change the biomechanical environment of the knee joint and might accelerate the development of osteoarthritis. The aim of this study was to investigate the dynamic biomechanical effects of different medial meniscus tear positions and tear gaps on the knee during walking.

Methods: Seven finite element models of the knee joint were constructed, including the intact medial meniscus (IMM), radial stable tears in the anterior, middle, and posterior one-third regions of the medial meniscus (RSTA, RSTM, RSTP), and the corresponding unstable tears (RUTA, RUTM, RUTP).

View Article and Find Full Text PDF

The diagnosis of knee osteoarthritis is challenging due to its complex nature and various contributing factors. With the advancement of artificial intelligence (AI) technology, some computer vision-based methods have been developed to address this task. However, when applied in practice, these methods encounter numerous challenges.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!