Is Kinesiophobia Associated With Quality of Life, Level of Physical Activity, and Function in Older Adults With Knee Osteoarthritis?
Beyond knee pain itself, the fear of movement, also known as kinesiophobia, recently has been proposed as a potential factor contributing to disability and functional limitation in patients with knee osteoarthritis (OA). Nevertheless, the available evidence on the association of kinesiophobia with patient-reported outcome measures (PROMs) in knee OA remains limited.
Among patients with nonoperatively treated knee OA, we asked: (1) Is kinesiophobia associated with decreased quality of life (QoL), functional outcomes, and physical activity? (2) What are the patient disease and psychosocial demographic factors associated with kinesiophobia?
This was a multicenter, cross-sectional study of 406 general orthopaedic patients from two urban, referral-based tertiary hospitals in Singapore under a single healthcare group who received nonoperative treatment for knee OA. Between July 2020 and January 2022, a total of 1541 patients were treated for knee OA nonoperatively. Based on that, 60% (923) of patients were rejected due to refusal to participate in the study, 3% (52) of patients were enrolled but did not show up for their appointments for data collection, and a further 10% (160) had incomplete data sets, leaving 26% (406) for this study's analysis. The mean age of patients was 64 ± 8 years, 69% were women, and 81% were Chinese. The level of kinesiophobia in patients was measured using the Brief Fear of Movement scale, a validated 6-item questionnaire ranging from a score of 6 to 24 to measure kinesiophobia in OA, with higher scores representing higher levels of kinesiophobia. In terms of PROMs, the QoL and functional level of patients were measured using the QoL and activities of daily living (ADL) components of the widely validated 12-item Knee Injury and Osteoarthritis Outcome Score (KOOS-12). The KOOS-12 is a questionnaire consisting of 12 items encompassing three domains (QoL, ADL, and pain), with each item ranging from 0 to 4 and higher scores representing worse outcomes. The University of California, Los Angeles (UCLA) Activity Scale was used to measure the level of physical activity in patients. The UCLA score is a descriptive 10-level activity scale ranging from a score of 1 to 10, with higher scores representing greater physical activity levels. A directed acyclic graph, which is a relationship map used to depict and visualize the confounders between the studied variables, was used to identify the confounders between kinesiophobia and PROMs (QoL, function, and physical activity). An ordinal regression model was used to explore: (1) the association between kinesiophobia (as measured using the Brief Fear of Movement scale) and PROMs (as measured using KOOS QoL, KOOS ADL, and the UCLA Activity Scale), adjusting for key confounders such as age, gender, pain, side of arthritis, OA duration/severity, and psychosocial factors (for example, depression, anxiety, and education levels), and (2) the association between kinesiophobia (Brief Fear of Movement scale) and various patient disease and psychosocial demographic factors.
After accounting for confounders, greater kinesiophobia (higher Brief Fear of Movement scores) was associated with lower QoL (KOOS QoL score adjusted IQR OR 0.69 [95% confidence interval (CI) 0.53 to 0.90]; p = 0.007) and lower physical activity (UCLA score adjusted IQR OR 0.68 [95% CI 0.52 to 0.90]; p = 0.007); however, there was no association between kinesiophobia and function (KOOS ADL score adjusted IQR OR 0.90 [95% CI 0.70 to 1.17]; p = 0.45). After adjusting for age, gender, OA duration, pain, and BMI, higher levels of anxiety (Patient Health Questionnaire 2 [PHQ-2] anxiety score adjusted OR 2.49 [95% CI 1.36 to 4.58]; p = 0.003) and depression (PHQ-2 depression score adjusted OR 3.38 [95% CI 1.73 to 6.62]; p < 0.001) were associated with higher levels of kinesiophobia. Education level, OA disease severity, side of arthritis (unilateral versus bilateral), and history of previous injury or surgery on the knee were not associated with kinesiophobia.
Clinicians should assess for kinesiophobia and other psychological comorbidities such as depression and anxiety at the point of initial evaluation and subsequent follow-up of knee OA with simple validated tools like the Brief Fear of Movement scale (kinesiophobia) in the clinic. This allows for clinicians to identify high-risk individuals and offer evidence-based treatment such as cognitive behavioral therapies with a multidisciplinary team, including a physical therapist and psychologist, to manage these psychological comorbidities and improve outcomes in patients with knee OA. While kinesiophobia was found to be associated with poorer QoL and physical activity, future studies including larger observational cohort studies should be conducted to determine causal and prognostic relationships between kinesiophobia and outcomes in knee OA.
Level III, prognostic study.
Chua SKK
,Lim CJ
,Pua YH
,Yang SY
,Tan BY
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Chronic Pain Influences Lower Extremity Energetics During Landing Cutting in Patients With Chronic Ankle Instability.
Chronic ankle instability (CAI) patients exhibit altered movement patterns during jump landing/cutting movements. Persistent pain is one of the residual symptoms that may affect movements. Calculating joint energetics affected by chronic pain offers a novel method to understand how chronic pain influences energetics of lower extremity joints in CAI patients.
To identify the effects of chronic pain on lower extremity energy dissipation and generation during jump landing and cutting in patients with CAI.
Cross-sectional study.
Laboratory.
Fifteen CAI patients with higher pain (6 men and 9 women; age = 22.1 ± 2.1 years, height = 1.74 ± 0.09 m, mass = 71.3 ± 10.6 kg, pain = 66.9 ± 9.4), 15 patients with CAI and lower pain (6 men and 9 women; age = 22.3 ± 2.1 years, height = 1.74 ± 0.08 m, mass = 70.1 ± 10.7 kg, pain = 89.3 ± 2.6), and 15 healthy control individuals (6 men and 9 women; age = 21.3 ± 1.7 years, height = 1.73 ± 0.08 m, mass = 70 ± 10.3 kg, pain = 100 ± 0).
Ground reaction force data were collected during 5 trials of maximal jump landing/cutting tasks. Joint power was defined as the product of angular velocity and joint moment. Energy dissipation and generation by the ankle, knee, and hip joints were calculated by integrating regions of the joint power curve.
CAI patients with higher pain displayed less ankle energy dissipation (P = .013 and P = .018) and generation in the ankle (P = .002 and P = .028) than CAI patients with lower pain and healthy control individuals during the jump landing/cutting phase. CAI patients with higher pain showed more hip energy generation than CAI patients with lower pain (P = .038) and healthy control individuals (P = .013) during the cutting phase.
CAI patients with higher pain changed both energy dissipation and generation in the lower extremities, reducing the burden of the ankle joint during jump landing/cutting and having a hip-dominant compensatory strategy during the cutting phase. Our results suggest that chronic pain could be one of the factors that affect motor strategies in the CAI population.
Oh M
,Lee H
,Han S
,Hopkins JT
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Influence of Anterior Talofibular Ligament Injury and Ankle Anterior Displacement on Symptoms in Individuals With Chronic Ankle Instability.
Repeated ankle sprains can lead to injuries, including those of the anterior talofibular ligament (ATFL); however, the extent to which these ligament injuries are associated with symptoms of chronic ankle instability (CAI) remains unclear.
To examine the influence of ATFL injury and ankle anterior displacement on symptoms of CAI.
Case-control study.
University laboratory.
A total of 122 of 426 college students who completed a questionnaire on the history of ankle sprain were enrolled in healthy (n = 34; 24 men, 10 women; age = 20.6 ± 0.5 years), coper (n = 49; 38 men, 11 women; age = 20.2 ± 1.2 years), and CAI groups (n = 39; 24 men, 15 women; age = 20.1 ± 1.1 years).
One examiner measured the ATFL delineation using ultrasound and anterior ankle displacement using a capacitance-type sensor device. The Cumberland Ankle Instability Tool was applied to assess pain and perceived instability.
The ATFL was normal more frequently in the healthy group and abnormal more frequently in the CAI group (χ2 = 18.45, P < .001). Anterior ankle displacement was greater in the coper and CAI groups than in the healthy group (both, P < .001), but no difference was observed between the coper and CAI groups (P = .16). We observed no correlation between the anterior ankle displacement and Cumberland Ankle Instability Tool scores (r = -0.004, P = .71) in participants with previous ankle sprains.
Observation of an abnormal ATFL on ultrasonography was associated with anterior displacement of the ankle joint. However, the influence of anterior ankle displacement due to damage to the ATFL on the pain and perceived instability in CAI was assumed to be small.
Kobayashi T
,Koshino Y
,Takahashi K
,Hanesaka Y
,Tanaka S
,Tsuda T
,Hasegawa K
,Teramoto A
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Exploring low- and high-order functional connectivity in chronic ankle instability through resting-state fMRI.
The functional connectivity (FC) has emerged as a valuable tool for comprehending the cerebral operational mechanism. Understanding the FC changes in patients with chronic ankle instability (CAI) helps reveal the underlying central nervous system mechanisms of the disease and provides clues for developing personalized treatment plans.
To explore differences between low- and high-order FC in patients with CAI and healthy controls, as well as the correlation among the feature connections and clinical data.
In our study, we recruited 40 patients with CAI and 42 healthy individuals who had not experienced ankle injuries. All participants underwent clinical assessments of ankle joints, collected the number of ankle sprains within the past 6 months, and performed resting-state functional magnetic resonance imaging (rs-fMRI) scans. Pearson correlation and matrix variate normal distribution (MVND) were used to construct low-order and high-order FC networks, respectively. Feature selections between groups were performed by two-sample t-tests, and a multi-kernel support vector machine (MK-SVM) was subsequently applied to combine the multiple connection patterns for the classification. Using leave-one-out cross-validation (LOOCV) to assess classification performance and identify the consensus connections contributing most to classification.
FC was reduced in certain brain regions of CAI patients. More consensus connections were recognized in low-order FC network than in high-order FC network. The highest classification accuracy of 91.30% was achieved by combining three connection patterns. The most discriminating functional connections were primarily centered on the default mode network and spanned the visual network, sensorimotor network, ventral attention network, and central executive network. In addition, FC strength in the left cingulate and paracingulate gyrus (DCG.L) and right superior temporal gyrus (STG.R) was negatively correlated with the number of ankle sprains in the past 6 months in all FC networks (p < 0.05).
Abnormalities in connectivity in patients with CAI were observed in both low- and high-order FC networks. The adaptive changes in the brain related to CAI may extend beyond the sensorimotor networks, primarily involving higher-level default mode networks associated with attention. Moreover, the FC strength between DCG.L and STG.R may predict the risk of ankle re-sprains and help clinicians develop personalized treatment plans.
Li Y
,Wang Z
,Yang Y
,Deng Y
,Shen Y
,Wang X
,Wang W
,Liu H
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