Skip to main content
Download PDF

Factors associated with physical activity following total knee arthroplasty for knee osteoarthritis: a longitudinal study

BMC Musculoskeletal Disorders volume 25, Article number: 178 (2024) Cite this article

Abstract

Background

After total knee arthroplasty (TKA), patients’ physical activity (PA) levels at 6 months are lower than those of healthy subjects. Few studies have investigated the factors associated with PA at 6 months after TKA by objectively measuring preoperative and postoperative PA intensity using an accelerometer and knee function using a goniometer and dynamometer. The purpose of this study was to determine the factors associated with PA levels at 6 months after TKA based on objective data.

Methods

Eighty-two patients (mean [SD] age 74.5 [6.4] years) with moderate-to-severe knee osteoarthritis (OA) who were scheduled for TKA at the Nagoya Orthopaedic and Joint Replacement Clinic from July 2018 to July 2019 were enrolled in this longitudinal study. All patients underwent evaluations of knee function, including range-of-motion and knee-extension muscle strength; knee pain; performance in the timed up-and-go test; and accelerometer-measured PA both preoperatively and 6 months postoperatively. Factors associated with PA at 6 months after TKA were assessed using a hierarchical multiple linear regression analysis adjusted for age, sex, body mass index, and presence of diabetes mellitus.

Results

A higher average daily step count at 6 months after TKA was significantly associated with greater preoperative knee-extension muscle strength on the operated side (β = 0.155, p = 0.028) as well as a higher preoperative average daily step count (β = 0.834, p < 0.001). Furthermore, average daily time spent in moderate-to-vigorous-intensity PA postoperatively was significantly associated only with time spent in moderate-to-vigorous-intensity PA preoperatively (β = 0.723, p < 0.001).

Conclusion

These findings indicate that a higher preoperative daily step count and greater preoperative knee-extension muscle strength on the operated side may be associated with a higher daily step count at 6 months after TKA. Factors associated with PA differed by the PA intensity level. Rehabilitation and interventions for psychosocial factors before TKA beginning when mild knee OA first occurs are expected to lead to increased PA in TKA patients.

Peer Review reports

Introduction

Osteoarthritis (OA) of the knee, the most commonly affected joint worldwide, is a leading cause of pain, disability, and socioeconomic loss [1, 2]. Knee OA patients often limit their daily physical activity (PA) due to severe pain [3]. Total knee arthroplasty (TKA) is considered to be an effective treatment for end-stage knee OA [4]. The aims of TKA are to restore joint function, mitigate severe knee pain, and minimize functional disability [5], thereby improving PA levels of patients with knee OA and minimizing their disability. Observational studies indicate that most of the improvement in pain, physical function, and 6-minute walk distance (a parameter of functional performance) occurs by 3 months postoperatively, with improvement plateauing by 6 months [6,7,8].

The amount of PA after TKA is associated with sex, body mass index (BMI), age, renal failure, neurological disorders, preoperative PA, and disease-specific quality of life [9,10,11,12,13,14,15]. In previous studies, PA or knee function was assessed using questionnaires and only patient characteristics were used as independent variables; although questionnaires are a simple and versatile method of assessing PA, potential uncertainty in recall and overestimation of PA may affect the accuracy of the results [16,17,18]. Accurately quantifying PA has become easier with advances in measurement instruments, and compared with questionnaires, measurements of PA by an accelerometer provide reliable and objective intensity-specific data [19, 20]. Measurements by accelerometers can be tracked over a continuous, longer period of time in a free-living environment, providing insight into a patient’s actual PA patterns [21]. In addition, patient characteristics and preoperative patient-reported knee function, knee pain, physical function, and quality of life alone are not considered sufficiently reliable factors associated with postoperative PA [22]. Therefore, accurate measurements of preoperative and postoperative PA levels based on the intensity as well as objective measurements of preoperative knee function and physical function are necessary to evaluate the factors associated with postoperative PA. Studies investigating factors associated with PA have analyzed patient characteristics as adjustment factors, including age, sex, BMI, and presence of diabetes mellitus (DM) [14]. Previous studies of knee OA emphasized that type 2 DM comorbidity in patients with knee OA is linked to the development [23, 24] and progression [25] of knee OA, and we therefore examined the presence of DM as an adjustment factor. Physical activity after TKA, however, reportedly remains lower than that in healthy subjects [8].

The present study had the following aims: (1) to describe the changes in PA from the preoperative period to 6 months postoperatively in patients with knee OA undergoing TKA, and (2) to determine factors associated with the step count and intensity level of PA at 6 months after TKA using objective data. Identifying the factors associated with PA after TKA will contribute to the development of appropriate and specific rehabilitation interventions.

Methods

Study design and setting

This study was a longitudinal study with 2 measurement points carried out at the Nagoya Orthopaedic and Joint Replacement Clinic (Kitanagoya, Japan) between July 2018 to January 2020. Data were prospectively collected from the outpatient department. The study was conducted according to the principles of the Declaration of Helsinki and approved by the Ethics Committee of Seijoh University (Tokai, Japan; approval no. 2018A0006) and Nagoya University (Nagoya, Japan; approval no. 20–521). All methods were conducted in accordance with the relevant guidelines and regulations. All patients provided written informed consent.

Patients

Middle- and older-aged patients (≥ 55 years) having radiographically confirmed knee OA (i.e., Kellgren‒Lawrence [KL] grade ≥ 2 in at least 1 knee [26]) who were scheduled for TKA were enrolled in the study. Patients were included if they underwent TKA from July 2018 through July 2019, and were able to walk independently on a flat surface with or without an assistive device. Exclusion criteria were as follows: (1) simultaneous bilateral TKA, (2) contralateral TKA within 6 months after TKA, (3) cognitive impairment, (4) neurological problems, (5) history of surgical treatment for lower extremity and/or spinal fracture, (6) did not provide consent, or (7) cases with missing data. The process for inclusion in the analysis is shown in Fig. 1.

Fig. 1
figure 1

Flow diagram of the inclusion/exclusion criteria for the analysis before TKA. TKA, total knee arthroplasty

Full size image

Demographic characteristics

Clinical records were used to collect data on age, sex, height, weight, and radiographic OA severity. The BMI of each patient was calculated by dividing the weight (kg) by the square of the height (m). A trained examiner (orthopedist) assessed the radiographic OA severity in the tibiofemoral joint based on KL grades [26] in the anteroposterior and weight-bearing position for each patient. DM was defined as an elevated fasting plasma glucose level ≥ 126 mg/dL, HbA1c level ≥ 6.5%, a formal diagnosis of DM, or prescribed antidiabetic medications [27].

Measures

All clinical data were collected 1‒4 weeks before TKA and at 6 months after TKA. Outcome measures were knee function (knee flexion and extension range-of-motion [ROM], and knee-extension muscle strength), knee pain, performance-based physical function (measured with the timed up-and-go [TUG] test), and objectively measured PA.

Knee function

Knee flexion and extension ROM were assessed as the angle formed by the intersection of the mechanical axes of the femur (i.e., line from the greater trochanter to the lateral femoral epicondyle) and lower leg (i.e., line from the head of the fibula to the lateral malleolus of the fibula). With patients positioned supine, passive knee flexion and extension ROM were measured using a standard goniometer.

Knee-extension muscle strength during isometric contraction was assessed using an isometric dynamometer (Isoforce GT-360; OG Wellness Technologies Co., Ltd., Okayama, Japan). For the measurements, patients were seated upright on the dynamometer with the tested limb’s knee flexed at a 60° angle. The chair depth, height, placement, and length of the attachment arm were customized for each patient. To ensure stability, straps were used to secure the patient at the distal shank, mid-thigh, pelvis, and trunk. Patients were instructed to achieve maximum contraction within 3 s and to sustain the contraction for 5 s. Throughout the process, standardized verbal encouragement was given to motivate the patients to exert their maximum effort. The resulting maximum knee-extension muscle strength values were then recorded [28, 29]. Each patient underwent 2 trials and the maximum muscle strength reached during the 2 trials was normalized to the patient’s body weight. The normalized values were used for data analysis.

Knee pain

A 100-mm visual analog scale for pain was used to measure the pain intensity in the operated and contralateral knees during the preceding week.

Performance-based physical function measure

Performance-based physical function was objectively assessed according to the TUG test (i.e., ambulatory transitions) as recommended by the Osteoarthritis Research Society International. The TUG test [30] is a simple, commonly used, and reliable test for clinical application in patients with suspected knee OA [31, 32]. Patients were directed to transition from a seated position with a seat height of 40 cm to standing. They were then instructed to walk a distance of 3 m at a normal pace, return to the starting point, and resume a seated position unaided (although assistive devices were permitted if needed). The time required to perform this test once was measured using a stopwatch.

Physical activity (PA)

A uniaxial accelerometer (Lifecorder; Suzuken Co., Ltd., Nagoya, Japan) was used to measure PA for 14 consecutive days. The reliability, validity, consistency, and accuracy of the Lifecorder accelerometer for estimating the step count and intensity of walking activity has been established under both controlled and free-living conditions [33, 34], and it is widely used in studies of PA [35, 36]. Patients were given both oral and written explanations regarding the proper use of the accelerometer. The accelerometer was attached at waist level on the midline of the right or left thigh and worn throughout the day. It was to be removed only for sleep and water-related activities, such as bathing, showering, and swimming. For inclusion in the study, patients had to wear the accelerometer for ≥ 10 h/d for ≥ 4 days (including 1 weekend day) [37]. “Nonwear time” was defined as a period of at least 60 consecutive minutes when no body movement data were recorded, except for up to 2 min of limited movement [37]. Of the 14 days, all days that met the inclusion criteria were used in the analysis. The accelerometer data were edited and aggregated using specialized PA analysis software (LifeLyzer05 Coach; Suzuken Co., Ltd., Nagoya, Japan). Based on the 11 exercise intensity levels from the accelerometer, which records signals at intensity levels of 0, 0.5, or 1–9 every 4 s while being worn), PA intensity levels were categorized as light (levels 1–3; ≥1.5 to < 3 metabolic equivalents [METs]), moderate (levels 4–6; ≥3 to < 6 METs), or vigorous (levels 7–9; ≥6 METs) [35]. The average daily step count (measured as steps per day) and duration of PA at each respective intensity level (measured as time in minutes per day) were calculated. For the majority of the patients (~ 70%), no time was spent in vigorous-intensity PA; therefore, a single variable was constructed combining the time spent in moderate-intensity PA with the time spent in vigorous-intensity PA [38]. In older people, the majority of daily step counts reflects light intensity (< 3 METs) activity [39]. The overall health of older people is associated with both the year-averaged daily duration of moderate-to-vigorous-intensity PA (MVPA) and the year-averaged daily step count [40]; therefore, final variables were determined as daily step count and time spent in MVPA.

Data analyses

Statistical analyses were performed using IBM SPSS Statistics for Windows, version 25 (IBM Corp., Armonk, NY, USA). Descriptive statistics were calculated as the mean ± standard deviation for continuous variables and as the proportion for dichotomous/categorical variables. The normality of the continuous variables was determined using the Shapiro‒Wilk test. The Student’s t-test for parametric continuous variables and the Wilcoxon signed-rank test for nonparametric continuous variables were used to compare PA before TKA and at 6 months after TKA.

To assess the factors influencing PA at 6 months after TKA, a hierarchical multiple linear regression analysis was performed. The PA parameters, including the average daily step count and time spent in MVPA were utilized as dependent variables. Age, sex, BMI, and the presence of DM (0 = without DM, 1 = with DM) prior to TKA were included as covariates for the analysis. These adjustment variables were selected a priori based on clinical judgment due to their potential influence on PA; that is, older people, women, individuals with higher BMI, and individuals with DM have lower levels of PA [14, 41]. Correlations between PA parameters at 6 months after TKA and knee flexion and extension ROM, knee-extension muscle strength, knee pain, and TUG before TKA were analyzed using Pearson’s correlation coefficient when the variables were normally distributed and Spearman’s rank correlation coefficient when the variables were not normally distributed. Variables determined to be significant (p < 0.05) in the correlation analysis were included as independent variables in a hierarchical multiple linear regression analysis to evaluate factors associated with PA parameters at 6 months after TKA [42, 43]. Each model had 2 steps. In step 1, the adjustment variables were included using the forced-entry method. In step 2, the independent variables were further included using the stepwise method. All independent variables were screened for multicollinearity by calculating the variance inflation factor. The independence of residual errors was assessed using the Durbin‒Watson statistic, which revealed independence in the range of 1.5‒2.5. The standardized partial regression coefficient (β) was used to interpret the significance of correlations. A p value < 0.05 was considered statistically significant.

Post hoc power analysis was conducted to verify the sample size using G*Power [44]. The post hoc power of a total sample size of 82 and 7 independent variables was 98% and 67% for effect sizes assumed to be large and medium, respectively. The number of subjects used in this study was therefore sufficiently large to detect statistically significant differences.

Results

The preoperative characteristics of the 82 patients included in the analysis are summarized in Table 1. The mean (standard deviation) patient age was 74.5 (6.4) years, and 84.1% were women.

Table 1 Summary of the preoperative characteristics of participants (n = 82)
Full size table

Changes in PA from the preoperative period to 6 months postoperatively

Both the average daily step count and MVPA time were significantly increased at 6 months after TKA compared with preoperative levels (Table 2).

Table 2 Physical activity assessed preoperatively and 6 months postoperatively
Full size table

Correlations between PA parameters at 6 months after TKA and the variables before TKA

Correlation analysis between PA at 6 months after TKA and knee function, knee pain, the TUG test time, and PA before TKA revealed that PA at 6 months after TKA was significantly correlated with several parameters (Table 3).

Table 3 Spearman correlation coefficients for associations between physical activity 6 months postoperatively and variables measured preoperatively
Full size table

Factors associated with the step count and MVPA at 6 months after TKA

A hierarchical multiple linear regression analysis, after adjusting for age, sex, BMI, and presence of DM, revealed that a higher average daily step count at 6 months after TKA was significantly associated with greater preoperative knee-extension muscle strength on the operated side (β = 0.155; p = 0.028) and a higher preoperative average daily step count (β = 0.834; p < 0.001) (Supplementary Table 1). In addition, a longer MVPA time at 6 months after TKA was significantly associated with a longer preoperative MVPA time (β = 0.723; p < 0.001; Supplementary Table 1).

The variance inflation factor was < 10, indicating that no collinearity existed among the variables and that none of the significant relationships were inflated by correlations between independent variables [45]. Residual plots indicated a random distribution pattern. Independence was observed among the residual errors of average daily step count and time spent in MVPA at 6 months after TKA (Durbin–Watson statistic: 2.059 and 2.195, respectively). These findings confirmed the validity of the multivariate regression analysis results.

Discussion

The findings of the present study indicate that the average daily step count and MVPA time were significantly increased at 6 months after TKA compared with preoperative levels. These results are consistent with those of a previous systematic review [8]. In the present study, we only used an accelerometer to objectively measure PA, in contrast to the previous study, which included both accelerometer and self-report data. The divergence between self-report and accelerometer-based measures is unknown. Nevertheless, the consistent results between our study and those of the previous study suggest the accuracy of the PA measurements.

In addition, our results indicated that the greater the preoperative knee-extension muscle strength on the operated side and the higher the preoperative average daily step count, the higher the average daily step count at 6 months after TKA. Further, the longer the preoperative MVPA time, the longer the MVPA time at 6 months after TKA. Preoperative knee-extension muscle strength is a predictor of abnormal movement patterns during gait at 6 months after TKA [46]. Consistent with this previous finding, the present study demonstrated that preoperative knee-extension muscle strength on the operated side was associated with the average daily step count at 6 months after TKA. The effect size of the preoperative knee-extension muscle strength on the operated side, however, was smaller (β = 0.155) than that of the preoperative daily step count on the daily step count 6 months after TKA (β = 0.834). Some consistent correlates of PA are individual-level factors such as age, sex, health status, intention to exercise, self-efficacy, and previous PA, in addition to factors related to walking ability [41]. Physical environmental factors (e.g., transport, places to exercise, leisure, occupation, and home) as well as social environmental factors (e.g., economic conditions, societal norms, urbanization, and industrialization), are associated with PA [41]. In addition, genetic factors contributing to the propensity to be physically active, such as likes and dislikes of exercise, craving activity, feeling rewarded by accomplishing an activity, and experiencing fatigue, are associated with PA [41]. Gait speed after TKA is reported to be associated with the amount of change postoperatively in knee-flexion ROM and knee-extension muscle strength, with knee-extension muscle strength on the operated side showing the strongest association [47]. We expect that psychological, environmental, and genetic factors, and postoperative knee-extension muscle strength on the operated side, which were not measured in this study, influenced preoperative knee-extension muscle strength on the operated side, leading to a small standardized partial regression coefficient (β).

Daily step count and MVPA time at 6 months after TKA were significantly associated with the preoperative daily step count and MVPA time, respectively. Our findings are consistent with those of other studies reporting the influence of preoperative PA on postoperative PA [9, 12], and confirm that the level of preoperative PA is an important factor affecting the level of postoperative PA.

Exercise therapy, including muscle strengthening, aerobic exercise, and balance training, is the primary recommended nonsurgical treatment for knee OA. Additional recommendations for nonsurgical treatment of knee OA include the use of walking aids and patient education regarding a healthy lifestyle, such as regular PA [48, 49]. In addition, current guidelines recommend preoperative exercise therapy to increase muscle strength and flexibility and daily PA, including moderate- to high-intensity aerobic exercise on land and in the water, although the number of high-quality studies on which these guidelines are based is limited [50].

Multilevel interventions that alter both psychosocial and environmental variables may be most effective in increasing PA [51]. In areas with walkable communities, individually targeted behavior change techniques may be especially beneficial [51]. Therefore, although it is difficult to provide support for environmental factors such as access to places where people can exercise, it is easy to provide support for increasing walking ability and psychological factors. In the present study, knee-extension muscle strength before TKA was positively and significantly correlated with the daily step count after TKA, suggesting that strengthening knee-extension muscles before TKA may be effective for increasing PA after TKA. Based on previous studies [41, 48,49,50,51] and the results of this study, a behavior modification approach should be initiated when knee OA is mild.

Preoperative knee-flexion ROM on the operated side, knee-flexion ROM on the contralateral side, knee-extension ROM on the contralateral side, knee-extension muscle strength on the contralateral side, and the TUG test time, which were significantly correlated with the daily step count and MVPA time 6 months after TKA in the single correlation analysis, were not extracted as relevant factors in the hierarchical multiple linear regression analysis.

Knee-extension muscle strength on the contralateral side and the TUG test time had correlation coefficients between approximately ± 0.5 and ± 0.7 in the single correlation analysis with knee-extension muscle strength on the operated side, showing the highest correlation in the single correlation analysis among the independent variables measured in this study (r = 0.656, -0.474, respectively). The TUG test time also showed a high correlation with age (r = 0.512). This may have led to the apparent association in the single correlation analysis.

In a previous study on the relationship between knee-extension ROM, knee-extension muscle strength, and the physical function score on the 36-item short-form survey (SF-36 physical function), the amount of change in knee-extension muscle strength (before and after TKA) mediated the association between the amount of change in knee-extension ROM and SF-36 physical function [52]. Gait speed after TKA was also associated with the amount of postoperative change in knee-flexion ROM and in knee-extension muscle strength, with knee-extension muscle strength on the operated side showing the strongest association [47]. In these reports, PA was assessed on the basis of a questionnaire and gait speed, but the results may explain why the association between knee ROM and PA in the single correlation analysis no longer held in the multiple regression analysis.

For knee pain, neither the daily step count nor the MVPA time showed significant correlations in the single correlation analysis. A previous study reported that gait speed after TKA was not associated with knee pain before TKA [47]. Further, PA was not associated with knee pain in patients with knee OA [53], and severe knee pain 2 weeks after TKA was associated with shorter daily walking time [54]. Therefore, because knee pain early after TKA may be more strongly associated with the amount of PA than knee pain before TKA, there was no association of knee pain before TKA with the amount of PA 6 months after TKA.

Another study reported that factors associated with PA after TKA based on responses to a questionnaire included sex, preoperative PA, renal failure, and neurological disorders [9, 14]. Factors associated with PA after TKA measured using an accelerometer were sex, BMI, and self-reported knee function [10, 11]. In the present study, we extracted the knee-extension muscle strength on the operated side from knee function as a relevant factor and objective evaluation of all items indicated the reliability of the results.

A strength of this study is the analysis of factors associated with postoperative PA based on objective measurements of preoperative and postoperative PA, preoperative knee function, and physical function. Most previous studies investigated these factors using questionnaires. We believe that our study is the first to investigate the factors associated with postoperative PA using objectively measured indices. Nevertheless, this study has several limitations that must also be considered. First, 54 patients (12 men, 42 women [mean age 75.2 ± 7.4 years, mean BMI 24.7 ± 3.0 kg/m2], 12 with DM, 42 without DM, 9 KL grade 3, and 45 KL grade 4 on the operated side) were excluded due to missing data. There were no significant differences in any of the preoperative characteristics between the final study participants and the excluded patients. Therefore, the effect of exclusion of patients with missing data on the results is considered to be small. Second, this study focused on PA at 6 months after TKA because improvement in pain, physical function, and functional performance is reported to reach a near plateau at 6 months postoperatively [6,7,8]. The long-term course of PA beyond 6 months postoperatively, however, has been reported [8], and PA not only at 6 months postoperatively but also after 6 months postoperatively is important for patients with TKA. Therefore, future studies of the long-term course of PA after TKA should be performed with the same methodology used in the present study. Third, certain types of PA (e.g., water-related activities and cycling) or posture cannot be tracked by accelerometers. Fourth, factors other than age, sex, and physical factors that correlate with PA, such as psychological, psychosocial, and environmental factors [40, 41, 55], were not investigated in this study.

Conclusion

Greater preoperative knee-extension muscle strength on the operated side as well as a higher preoperative daily step count may be associated with a higher daily step count at 6 months after TKA. Factors associated with PA differed by PA intensity level, but the preoperative daily step count was more strongly associated with the daily step count at 6 months after TKA than with preoperative knee-extension muscle strength before TKA.

Based on previous studies as well as the results of this study, rehabilitation focused on strengthening knee-extension muscle strength on the operated side and interventions for psychosocial factors before TKA and beginning when knee OA is mild might be effective for increasing PA in TKA patients. A prospective intervention study is needed to confirm this in the future.

Data availability

The datasets used and analyzed in the present study are available from the corresponding author upon reasonable request.

Abbreviations

BMI:

Body mass index

DM:

Diabetes mellitus

KL:

Kellgren‒Lawrence

METs:

Metabolic equivalents

MVPA:

Moderate-to-vigorous-intensity physical activity

OA:

Osteoarthritis

PA:

Physical activity

ROM:

Range-of-motion

SD:

Standard deviation

TKA:

Total knee arthroplasty

TUG:

Timed up-and-go

References

  1. Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, et al. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014;73(7):1323–30.

    Article  PubMed  Google Scholar 

  2. Martel-Pelletier J, Barr AJ, Cicuttini FM, Conaghan PG, Cooper C, Goldring MB, et al. Osteoarthr Nat Rev Dis Primers. 2016;2:16072.

    Article  Google Scholar 

  3. Fukutani N, Iijima H, Aoyama T, Yamamoto Y, Hiraoka M, Miyanobu K, et al. Knee pain during activities of daily living and its relationship with physical activity in patients with early and severe knee osteoarthritis. Clin Rheumatol. 2016;35(9):2307–6.

    Article  PubMed  Google Scholar 

  4. Liang MH, Cullen KE, Larson MG, Thompson MS, Schwartz JA, Fossel AH, et al. Cost-effectiveness of total joint arthroplasty in osteoarthritis. Arthritis Rheum. 1986;29(8):937–43.

    Article  CAS  PubMed  Google Scholar 

  5. Kamaruzaman H, Kinghorn P, Oppong R. Cost-effectiveness of surgical interventions for the management of osteoarthritis: a systematic review of the literature. BMC Musculoskelet Disord. 2017;18(1):183.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kagan R, Anderson MB, Christensen JC, Peters CL, Gililland JM, Pelt CE. The recovery curve for the patient-reported outcomes measurement information system patient-reported physical function and pain interference computerized adaptive tests after primary total knee arthroplasty. J Arthroplasty. 2018;33(8):2471–4.

    Article  PubMed  Google Scholar 

  7. Canfield M, Savoy L, Cote MP, Halawi MJ. Patient-reported outcome measures in total joint arthroplasty: defining the optimal collection window. Arthroplast Today. 2020;6(1):62–7.

    Article  PubMed  Google Scholar 

  8. Sašek M, Kozinc Ž, Löfler S, Hofer C, Šarabon N. Objectively measured physical activity, sedentary behavior and functional performance before and after lower limb joint arthroplasty: a systematic review with meta-analysis. J Clin Med. 2021;10(24):5885.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rubio-Morales M, Miralles-Muñoz FA, Gonzalez-Parreño S, Ruiz-Lozano M, Lizaur-Utrilla A, Vizcaya-Moreno MF. A relevant number of patients do not increase their engagement in physical, social and leisure activities at the medium-term after total knee arthroplasty: a prospective cohort study. Knee Surg Sports Traumatol Arthrosc. 2023;31(3):1011–7.

    Article  PubMed  Google Scholar 

  10. Matsunaga-Myoji Y, Fujita K, Ide S, Tabuchi Y, Mawatari M, Makimoto K. Changes in actual daily physical activity and patient-reported outcomes up to 2 years after total knee arthroplasty with arthritis. Geriatr Nurs. 2020;41(6):949–55.

    Article  PubMed  Google Scholar 

  11. Lützner C, Kirschner S, Lützner J. Patient activity after TKA depends on patient-specific parameters. Clin Orthop Relat Res. 2014;472(12):3933–40.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Brandes M, Ringling M, Winter C, Hillmann A, Rosenbaum D. Changes in physical activity and health-related quality of life during the first year after total knee arthroplasty. Arthritis Care Res (Hoboken). 2011;63(3):328–34.

    Article  PubMed  Google Scholar 

  13. Arshi A, Khan IA, Ciesielka KA, Cozzarelli NF, Fillingham YA. Participation in sports and physical activities after total joint arthroplasty. J Arthroplasty. 2023;38(5):806–14.

    Article  PubMed  Google Scholar 

  14. Paxton EW, Torres A, Love RM, Barber TC, Sheth DS, Inacio MC. Total joint replacement: a multiple risk factor analysis of physical activity level 1–2 years postoperatively. Acta Orthop. 2016;87(Suppl 1):44–9.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Williams DH, Greidanus NV, Masri BA, Duncan CP, Garbuz DS. Predictors of participation in sports after hip and knee arthroplasty. Clin Orthop Relat Res. 2012;470(2):555–61.

    Article  PubMed  Google Scholar 

  16. Paxton RJ, Melanson EL, Stevens-Lapsley JE, Christiansen CL. Physical activity after total knee arthroplasty: a critical review. World J Orthop. 2015;6(8):614–22.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hagstromer M, Ainsworth BE, Oja P, Sjostrom M. Comparison of a subjective and an objective measure of physical activity in a population sample. J Phys Act Health. 2010;7(4):541–50.

    Article  PubMed  Google Scholar 

  18. Duncan GE, Sydeman SJ, Perri MG, Limacher MC, Martin AD. Can sedentary adults accurately recall the intensity of their physical activity? Prev Med. 2001;33(1):18–26.

    Article  CAS  PubMed  Google Scholar 

  19. Kastelic K, Šarabon N. Comparison of self-reported sedentary time on weekdays with an objective measure (activPAL). Meas Phys Educ Exerc Sci. 2019;23(3):227–36.

    Article  Google Scholar 

  20. Hills AP, Mokhtar N, Byrne NM. Assessment of physical activity and energy expenditure: an overview of objective measures. Front Nutr. 2014;1:5.

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  21. Steultjens M, Bell K, Hendry G. The challenges of measuring physical activity and sedentary behaviour in people with rheumatoid arthritis. Rheumatol Adv Pract. 2023;7(1):rkac101.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Dainty JR, Smith TO, Clark EM, Whitehouse MR, Price AJ, MacGregor AJ. Trajectories of pain and function in the first five years after total hip and knee arthroplasty: an analysis of patient reported outcome data from the National Joint Registry. Bone Joint J. 2021;103–B(6):1111–8.

    Article  PubMed  Google Scholar 

  23. Dell’Isola A, Allan R, Smith SL, Marreiros SS, Steultjens M. Identification of clinical phenotypes in knee osteoarthritis: a systematic review of the literature. BMC Musculoskelet Disord. 2016;17(1):425.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Berenbaum F. Diabetes-induced osteoarthritis: from a new paradigm to a new phenotype. Ann Rheum Dis. 2011;70(8):1354–6.

    Article  PubMed  Google Scholar 

  25. Eymard F, Parsons C, Edwards MH, Petit-Dop F, Reginster JY, Bruyère O, et al. Diabetes is a risk factor for knee osteoarthritis progression. Osteoarthritis Cartilage. 2015;23(6):851–9.

    Article  CAS  PubMed  Google Scholar 

  26. Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957;16(4):494–502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. American Diabetes Association. 2. Classification and diagnosis of diabetes. Diabetes Care. 2016;39(Suppl 1):S13–22.

  28. Hirano M, Gomi M, Katoh M. Effects of trunk stability on isometric knee extension muscle strength measurement while sitting. J Phys Ther Sci. 2016;28(9):2474–76.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Henriksen M, Klokker L, Bartholdy C, Graven-Nielsen T, Bliddal H. The associations between Pain sensitivity and knee muscle strength in healthy volunteers: a cross-sectional study. Pain Res Treat. 2013;2013:787054.

    PubMed  PubMed Central  Google Scholar 

  30. Podsiadlo D, Richardson S. The timed up & go: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142–8.

    Article  CAS  PubMed  Google Scholar 

  31. Alghadir A, Anwer S, Brismee JM. The reliability and minimal detectable change of timed up and go test in individuals with grade 1–3 knee osteoarthritis. BMC Musculoskelet Disord. 2015;16:174.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Dobson F, Hinman RS, Roos EM, Abbott JH, Stratford P, Davis AM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21(8):1042–52.

    Article  CAS  PubMed  Google Scholar 

  33. Crouter SE, Schneider PL, Karabulut M, Bassett DR Jr. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc. 2003;35(8):1455–60.

    Article  PubMed  Google Scholar 

  34. Schneider PL, Crouter S, Bassett DR. Pedometer measures of free-living physical activity: comparison of 13 models. Med Sci Sports Exerc. 2004;36(2):331–5.

    Article  PubMed  Google Scholar 

  35. Aoyagi Y, Park H, Watanabe E, Park S, Shephard RJ. Habitual physical activity and physical fitness in older Japanese adults: the Nakanojo Study. Gerontology. 2009;55(5):523–31.

    Article  PubMed  Google Scholar 

  36. Ishii K, Shibata A, Adachi M, Nonoue K, Oka K. Gender and grade differences in objectively measured physical activity and sedentary behavior patterns among Japanese children and adolescents: a cross-sectional study. BMC Public Health. 2015;15:1254.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Healy GN, Matthews CE, Dunstan DW, Winkler EA, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32(5):590–7.

    Article  PubMed  PubMed Central  Google Scholar 

  38. De Greef K, Van Dyck D, Deforche B, De Bourdeaudhuij I. Physical environmental correlates of self-reported and objectively assessed physical activity in Belgian type 2 diabetes patients. Health Soc Care Community. 2011;19(2):178–88.

    PubMed  Google Scholar 

  39. Yasunaga A, Togo F, Watanabe E, Park H, Park S, Shephard RJ, et al. Sex, age, season, and habitual physical activity of older Japanese: the Nakanojo study. J Aging Phys Act. 2008;16(1):3–13.

    Article  PubMed  Google Scholar 

  40. Aoyagi Y, Shephard RJ. Habitual physical activity and health in the elderly: the Nakanojo Study. Geriatr Gerontol Int. 2010;10(Suppl 1):236–43.

    Google Scholar 

  41. Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.

    Article  PubMed  Google Scholar 

  42. Mohd Salleh Sahimi H, Norzan MH, Nik Jaafar NR, Sharip S, Ashraf A, Shanmugam K, et al. Excessive smartphone use and its correlations with social anxiety and quality of life among medical students in a public university in Malaysia: a cross-sectional study. Front Psychiatry. 2022;13:956168.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Zou W, Zhang Y, Gong L, Zhang M, Wu X, Xie J, et al. Factors associated with psychosocial adjustment in working-age colorectal cancer survivors: a cross-sectional study. Asia Pac J Oncol Nurs. 2022;9(6):100057.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91.

    Article  PubMed  Google Scholar 

  45. Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. 5th ed. London: Prentice Hall; 1998.

    Google Scholar 

  46. Christensen JC, Mizner RL, Bo Foreman K, LaStayo PC, Peters CL, Pelt CE. Preoperative quadriceps weakness preferentially predicts postoperative aberrant movement patterns during high-demand mobility following total knee arthroplasty. Knee. 2019;26(1):79–87.

    Article  PubMed  Google Scholar 

  47. Pua YH, Seah FJ, Clark RA, Lian-Li Poon C, Tan JW, Chong HC. Factors associated with gait speed recovery after total knee arthroplasty: a longitudinal study. Semin Arthritis Rheum. 2017;46(5):544–51.

    Article  PubMed  Google Scholar 

  48. Bannuru RR, Osani MC, Vaysbrot EE, Arden NK, Bennell K, Bierma-Zeinstra SMA, et al. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis. Osteoarthritis Cartilage. 2019;27(11):1578–89.

    Article  CAS  PubMed  Google Scholar 

  49. Roos EM, Arden NK. Strategies for the prevention of knee osteoarthritis. Nat Rev Rheumatol. 2016;12(2):92–101.

    Article  CAS  PubMed  Google Scholar 

  50. Jette DU, Hunter SJ, Burkett L, Langham B, Logerstedt DS, Piuzzi NS, et al. Physical therapist management of total knee arthroplasty. Phys Ther. 2020;100(9):1603–31.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Carlson JA, Sallis JF, Conway TL, Saelens BE, Frank LD, Kerr J, et al. Interactions between psychosocial and built environment factors in explaining older adults’ physical activity. Prev Med. 2012;54(1):68–73.

    Article  PubMed  Google Scholar 

  52. Pua YH, Ong PH, Chong HC, Yeo W, Tan C, Lo NN. Knee extension range of motion and self-report physical function in total knee arthroplasty: mediating effects of knee extensor strength. BMC Musculoskelet Disord. 2013;14:33.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Greene BL, Haldeman GF, Kaminski A, Neal K, Lim SS, Conn DL. Factors affecting physical activity behavior in urban adults with arthritis who are predominantly African-American and female. Phys Ther. 2006;86(4):510–9.

    Article  PubMed  Google Scholar 

  54. Chan EY, Blyth FM, Nairn L, Fransen M. Acute postoperative pain following hospital discharge after total knee arthroplasty. Osteoarthritis Cartilage. 2013;21(9):1257–63.

    Article  CAS  PubMed  Google Scholar 

  55. Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):1996–2001.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank the study participants. We also acknowledge Shinya Ozeki, PT, MS; Jun Mizusawa, PT, MS; Nao Masaoka, PT; and staff members of the Nagoya Orthopaedic and Joint Replacement Clinic (Kitanagoya, Japan) for their assistance with the data collection.

Funding

This work was supported by Grants-in-Aid for Scientific Research (JSPS KAKENHI; grant no. JP19K19749).

Author information

Authors and Affiliations

  1. Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan

    Remi Fujita, Naomichi Matsunaga & Hideshi Sugiura

  2. Department of Rehabilitation and Care, Seijoh University, 2-172 Fukinodai, Tokai, 476-8588, Aichi, Japan

    Remi Fujita, Susumu Ota & Takahiro Hayashi

  3. Department of Rehabilitation, Nagoya Orthopaedic and Joint Replacement Clinic, Kitanagoya, Japan

    Yuri Yamamoto & Akito Kataoka

  4. Department of Orthopedics, Nagoya Orthopaedic and Joint Replacement Clinic, Kitanagoya, Japan

    Hideki Warashina

Authors
  1. Remi Fujita
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Susumu Ota
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuri Yamamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Akito Kataoka
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hideki Warashina
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Takahiro Hayashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Naomichi Matsunaga
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Hideshi Sugiura
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Study design, collection and analysis of the data, interpretation, writing and revising the manuscript: R.F.; Study design and conception, data analysis, interpretation, revising the manuscript: S.O., H.S.; Patient recruitment, data collection, interpretation: Y.Y., A.K., H.W.; Data analysis, interpretation: T.H.; Data collection, interpretation: N.M.; All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Remi Fujita.

Ethics declarations

Ethics approval and consent to participate

The study was conducted according to the principles of the Declaration of Helsinki and approved by the Ethics Committee of Seijoh University (Tokai, Japan; approval no. 2018A0006) and Nagoya University (Nagoya, Japan; approval no. 20–521). All methods were conducted in accordance with the relevant guidelines and regulations. All patients provided written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fujita, R., Ota, S., Yamamoto, Y. et al. Factors associated with physical activity following total knee arthroplasty for knee osteoarthritis: a longitudinal study. BMC Musculoskelet Disord 25, 178 (2024). https://doi.org/10.1186/s12891-024-07306-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-024-07306-3

Keywords

BMC Musculoskeletal Disorders

ISSN: 1471-2474

Contact us