Patients With Knee Osteoarthritis Have a Phenotype With Higher Bone Mass, Higher Fat Mass, and Lower Lean Body Mass

Karlsson, Magnus K.; Magnusson, Håkan; Cöster, Maria; Karlsson, Caroline; Rosengren, Björn

doi:10.1007/s11999-014-3973-3

Cited by 32 publications

(41 citation statements)

References 29 publications

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“…Despite a decrease in pain sensitivity with increased age, older adults tend to have decreased tolerance to pain (Molton & Terrill, 2014). Our BMI findings support prior work noting the negative impact of body weight in terms of causing pain in the weight bearing joints of the musculoskeletal system (Karlsson, Magnusson, Cöster, Karlsson, & Rosengren, 2015). …”

Section: Discussionsupporting

confidence: 89%

Pain, Genes, and Function in the Post–Hip Fracture Period

Klinedinst

Yerges‐Armstrong

Magaziner

et al. 2016

Pain Management Nursing

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BACKGROUND Post hip fracture generalized pain can lead to a progressive decline in function and greater disability. OBJECTIVES The purpose of this study was to explore the factors that influence pain among older adults post hip fracture, including genetic variability, and evaluate whether or not pain directly or indirectly influenced upper and lower extremity function. METHODS This was a secondary data analysis using data from the first 200 participants in a Baltimore Hip Study (BHS), BHS-7. Assessments were done at 2 months post hip fracture and included age, gender, marital status, education, cognitive status, comorbidities, Body Mass Index (BMI), upper and lower extremity function, single nucleotide polymorphisms (SNPs) from 10 candidate genes, and total areas of pain and pain intensity. Model testing was done using the AMOS statistical program. RESULTS The full sample included 172 participants with an average age of 81. Fifty percent were female and the majority was Caucasian (93%). Model testing was done on 144 individuals whom completed 2 month surveys. Across all models age, cognition and BMI were significantly associated with total areas of pain. Thirty SNPs from five genes (BDNF, FKBP5, NTRK2, NTRK3, and OXTR) were associated with areas of pain and/or pain intensity. Together age, cognition, BMI and the SNP from one of the five genes explained 25% of total areas of pain and 15% of pain intensity. Only age and cognition were significantly associated with lower extremity function and only cognition was significantly associated with upper extremity function. DISCUSSION The full model was partially supported in this study. Our genetic findings related to pain expand prior reports related to BDNF and NTRK2.

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Section: Discussionsupporting

confidence: 89%

Pain, Genes, and Function in the Post–Hip Fracture Period

Klinedinst

Yerges‐Armstrong

Magaziner

et al. 2016

Pain Management Nursing

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“…Then, full articles were extracted for further assessment after reviewing the titles and abstracts. Eventually, 19 studies (10 cross‐sectional, 5 case‐control and 4 cohort studies) were included in the present systematic review and meta‐analysis. The study screening process is shown in Figure , and the study characteristics and NOS score of the 19 included articles are shown in Table .…”

Section: Resultsmentioning

confidence: 99%

Association between body composition and osteoarthritis: A systematic review and meta‐analysis

et al. 2019

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| INTRODUC TI ONOsteoarthritis (OA) is a prevalent joint degenerative disease and the major cause of disability for the elderly population worldwide. In the USA, over 20 million of people suffer from OA and this figure is estimated to double over the next two decades. 1 The main symptom of OA is chronic musculoskeletal pain, which is associated with physical disability and dysfunction. 2,3 The major treatments for OA include pain alleviation and improvement of functional activity, and for end-stage patients, joint replacement is often needed. 4-6 Many factors may increase the risk of OA, such as metabolic factors, mechanical factors, and inflammatory factors, 7 among which, obesity is considered the most important one. 8 Meanwhile, the prevalence of obesity, which leaves the affected population vulnerable to multiple comorbidities, 9 has been growing alarmingly all over the world. 10,11 Recently, a lot of attention has been paid by the academic circle to the association between obesity and OA in view of its high prevalence and modifiable status. Felson et al reported that obese AbstractObjectives: To examine the association between body composition and osteoarthritis (OA).Methods: An extensive literature review was performed to identify studies that examined the association between body composition and OA. The mean difference (MD), odds ratio (OR), relative risk (RR) and corresponding 95% confidence intervals (CIs) were determined using RevMan statistical software. Results:A total of 19 studies were included. The combined MD showed the fat mass of the subjects with knee OA was higher than that of the control group (MD 4.38,). Both fat mass and fat mass percentage were positively associated with knee OA (ORs ranged from 1.49, 95% CI: 1.15-1.92, to 2.37, 95% CI: 1.18-4.74).Similar findings were observed in hip and hand joints as well (ORs ranged from 1.20, 95% CI: 1.08-1.32, to 1.87, 95% CI: 1.11-3.15), and such results were also confirmed by most cohort studies of knee and hip OA (RRs ranged from 0.98, 95% CI: 0.95-1.01, to 3.60, 95% CI: 2.60-5.00). Lean mass was also positively associated with knee OA (OR 1.48, 95% CI: 1.13-1.94). However, lean mass percentage was negatively associated with knee OA (OR 0.65, 95% CI: 0.46-0.92). Conclusions:Both fat mass and fat mass percentage were likely to be risk factors for knee, hip and hand OA. Similarly, lean mass also seemed to be a risk factor for knee OA, while lean mass percentage seemed to be a protective factor. K E Y W O R D Sbody composition, fat mass, lean mass, meta-analysis, osteoarthritis

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“…reported that low skeletal muscle mass, which defined from skeletal muscle mass of 4 extremities, correlates with knee OA in the obese [14]. Recently, one also suggested that patients with knee OA have a proportionally lower lean body mass, not lower ‘lower’ limb lean body mass [13]. While skeletal muscle mass might be shown similar patterns between upper and lower limbs in an individual, they have been studied to have different aging processes.…”

Section: Discussionmentioning

confidence: 99%

“…reported that patients with knee OA have a phenotype with higher fat mass and lower lean body mass and suggested that subjects who have lower lean body mass will lower the joint-protective ability [13]. Low skeletal muscle mass also correlates with knee OA in the obese [14].…”

Section: Introductionmentioning

confidence: 99%

Low Skeletal Muscle Mass in the Lower Limbs Is Independently Associated to Knee Osteoarthritis

Lee

Chung

et al. 2016

PLoS ONE

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ObjectivesIt has been reported that low skeletal muscle mass correlates with knee osteoarthritis in obese individuals. This study aimed to investigate whether lower limb skeletal muscle mass is independently associated with knee osteoarthritis in the general population.Materials and MethodsThis cross-sectional study used public data from the Fourth and Fifth Korean National Health and Nutrition Examination Survey. Subjects included 4924 community-dwelling adults aged ≥50 years (821 subjects with knee osteoarthritis and 4,103 controls). Skeletal muscle mass index (SMI) was calculated from the appendicular skeletal muscle mass measured by dual energy X-ray absorptiometry. Independent effects of total and lower limb SMI values on knee osteoarthritis were determined using odds ratios (OR) adjusted for age, sex, obesity, total femur bone mineral density, serum vitamin D level, diabetes mellitus status, and physical activity on multivariate logistic regression analysis.ResultsThe adjusted logistic regression model revealed that older age, female sex, and obesity were significantly associated with knee osteoarthritis. A higher serum vitamin D level was also positively correlated with knee osteoarthritis (OR, 1.015; 95% CI, 1.003–1.027; P = 0.010). Although total SMI was not significantly associated with knee osteoarthritis (OR, 0.976; 95% CI, 0.946–1.007; P = 0.127), a low lower limb SMI had an independent effect on knee osteoarthritis (OR, 0.941; 95% CI, 0.900–0.983; P = 0.006).ConclusionsLow skeletal muscle mass in the lower limbs but not in the whole body was independently associated with knee osteoarthritis.

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Patients With Knee Osteoarthritis Have a Phenotype With Higher Bone Mass, Higher Fat Mass, and Lower Lean Body Mass

Cited by 32 publications

References 29 publications

Pain, Genes, and Function in the Post–Hip Fracture Period

Pain, Genes, and Function in the Post–Hip Fracture Period

Association between body composition and osteoarthritis: A systematic review and meta‐analysis

Low Skeletal Muscle Mass in the Lower Limbs Is Independently Associated to Knee Osteoarthritis

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