Abstract
Objective. To examine the association between leisure-time physical activity (PA) and survival to age 85 with mobility limitation or death before age 85 after total knee (TKR) or total hip replacement (THR) for osteoarthritis (OA).
Methods. This was a prospective study among participants from the Women’s Health Initiative (WHI), recruited 1993–1998 (baseline age 65–79 yrs) and followed through 2012. Medicare claims data were linked to WHI data to determine TKR (n = 1986) and THR (n = 1034). Self-reported PA was collected before total joint replacement (TJR).
Results. Women who were physically inactive before THR had the highest risk of mobility limitation at age 85 (OR 2.36, 95% CI 1.30–4.26) compared with women who had the highest amount of PA [> 17.42 metabolic equivalent of task (MET)-hrs/week]. Women who reported no moderate to vigorous PA (MVPA) before THR had the strongest risk of mobility limitation (OR 2.00, 95% CI 1.24–3.22) compared with women with the highest level of MPVA (≥ 15 MET-hrs/week). Women who were physically inactive before TKR had the highest risk of mobility limitation (OR 1.68, 95% CI 1.15–2.45) compared with women who had the highest PA level. Women who reported no MVPA before TKR had the strongest risk of mobility limitation (OR 1.60, 95% CI 1.16–2.19) compared with women with the highest level of MPVA. There were significant dose-response associations of lower PA levels with increased risk of late-life mobility limitation and death.
Conclusion. Women with lower PA levels before TJR were more likely to experience mobility limitation in late life following TJR for hip or knee OA.
Osteoarthritis (OA) is a major cause of disability among older people, affecting 1 in 8 adults1,2. Total joint replacement (TJR) surgery, including total hip (THR) and total knee replacements (TKR), may be considered in cases of severe OA3,4. More than 1 million THR and TKR are performed annually in the United States5. With the growth of the aging population and rising OA prevalence, use of THR and TKR will increase 4-fold by 20302,6. However, few studies have followed patients with OA and TJR recipients prospectively into late life to understand patterns of functional changes and to define strategies to prevent mobility limitation among those who survive into very old age.
Physical activity (PA) has been recommended for the successful management of OA and may improve physical function among patients with severe OA7,8,9,10,11,12. In a randomized controlled trial among older adults with knee OA, participation in an aerobic exercise program was associated with less physical disability, less knee pain, and better physical performance 18 months after the trial10. Some studies have observed that PA may lead to better function before TJR13,14,15. Men and women scheduled to undergo THR who participated in a 6-week exercise program showed greater improvements in physical function scores before surgery15. However, little attention has focused on the relationship between PA before TJR and longterm functional health after surgery15,16,17,18. Previous studies yielded conflicting results on the potential effect of presurgery exercise programs on postsurgery functional outcomes among TJR patients. Two prior studies observed that presurgery PA did not improve functional outcomes a year after surgery15,16, but a randomized controlled trial showed that an 8-week, tailored exercise program before THR resulted in better physical function 6 months after surgery17.
Maintaining mobility in old age is a key component of successful aging and is an important public health goal for patients with OA1,19. Previous studies among the general population showed that regular PA is associated with better mobility and physical function later in life20,21,22,23,24. However, to our knowledge, no study has determined whether preoperative PA is associated with maintaining mobility in old age among a cohort of patients who underwent TJR for OA. A potential link would strengthen the evidence base supporting increase of PA levels before TJR among patients with hip and knee OA.
Using prospective data from the Women’s Health Initiative (WHI), we examined associations between leisure-time PA levels before TJR and survival to age 85 with mobility limitation or death before age 85 among women who underwent THR or TKR for OA.
MATERIALS AND METHODS
Study population and design
The WHI is a longitudinal study investigating determinants of chronic diseases in women. The study design has been previously described25. Briefly, a cohort of 161,808 postmenopausal women aged 50 to 79 years was recruited from 40 US clinical centers from 1993 to 1998. Women participated in ≥ 1 of 3 clinical trials (n = 68,133), including 1 of 2 Hormone Therapy trials, or an observational study (n = 93,676). In 2005, 77% of eligible women agreed to be followed through 2010 in the first extension study. In 2010, 87% of eligible women enrolled in an additional 5 years of followup in the second extension study. Our study was exclusive to women ages 65 years and older who were continuously enrolled in fee-for-service Medicare from baseline until the end of followup in 2012, and who underwent THR (n = 1034) or TKR (n = 1986) for OA at any time during followup (see Supplementary Methods, and Supplementary Table 1, and Supplementary Figures 1 and 2, available with the online version of this article). Medicare claims data were used to identify THR and TKR. All participants provided written informed consent. This study complied with the Declaration of Helsinki and was approved by the Human Research Protections Program at the University of California, San Diego (Protocol No. 161486).
Physical activity assessment
At the baseline visit, women completed a questionnaire assessing usual participation in leisure-time PA. The questionnaire was completed on average 6.7 (SD 3.7) years before TJR. The questionnaire has acceptable reliability, with high intraclass correlation coefficients for moderate to vigorous PA (MVPA; r = 0.77) and total PA (r = 0.76)26. Participants were asked how often they walk outside the home for more than 10 min without stopping, the duration of walking, and walking speed. Frequency categories were rarely or never, 1–3 times/month, 1 time/week, 2–3 times/week, 4–6 times/week, and ≥ 7 times/week. Duration categories for walking included < 20 min, 20–39 min, 40–59 min, and ≥ 1 h. Categories for walking speed included casual (slower than normal), strolling [< 2 miles/h (mph)], average or normal (2–3 mph), fairly fast (3–4 mph), and very fast (> 4 mph). Participants reported how often and for how long at each session they participated in activities of various intensity: light (e.g., slow dancing, bowling, and golf), moderate (e.g., biking outdoors, calisthenics, and easy swimming), and vigorous (i.e., that increased heart rate and produced sweating such as aerobics, aerobic dancing, and jogging). Frequency categories were none and 1, 2, 3, 4, or ≥ 5 days/week. Duration categories were < 20 min, 20–39 min, 40–59 min, and ≥ 1 h.
Midpoint values for ranges of frequency and duration of PA sessions were imputed, and the product of frequency and duration was used to create “hours/week (h/wk)” variables. Metabolic equivalent of task (MET) values were assigned for vigorous, moderate, and light activities as 7, 4, and 3 MET, respectively27. MET values for walking were assigned as 5, 4, 3, and 2 for very fast, fast, average or normal, and casual, respectively. The MET level was then multiplied by h/wk to compute separate variables for walking, light, moderate, and vigorous activities in MET-h/wk. MVPA was computed as the sum of average or normal and fast walking, moderate activity, and vigorous activity. Total PA was computed by summing across all activities.
Total PA and walking were divided into 4 categories, including 0 MET-h/wk and tertiles for the remainder of the data. MVPA was categorized as 0, > 0 to < 7.5, 7.5 to < 15, and ≥ 15 MET-h/wk according to current federal guidelines recommending ≥ 7.5 MET-h/wk of MVPA28. Women with 0 MET-h/wk of total PA (i.e., who reported rarely or never walking and no light PA or MVPA) were defined as being “physically inactive.”
Covariates
Participants reported demographic characteristics, lifestyle behaviors, and medical history at baseline through questionnaires. Demographic characteristics included race/ethnicity, education, income, and marital status. Lifestyle behaviors included smoking and alcohol consumption. Trained clinic staff measured height and weight at baseline. Body mass index (BMI; kg/m2) was calculated and categorized into established cutpoints: normal weight (≤ 24.9 kg/m2), overweight (25–29.9 kg/m2), and obese (≥ 30 kg/m2)29. Additional baseline covariates were self-rated health, joint pain or stiffness, and hormone therapy use, which was defined according to self-reported use and participation in the hormone therapy trials. Depressive symptoms were measured using the Burnham scale30. The Medicare data file was used to collect information on age at TJR.
Information on chronic diseases associated with loss of mobility31,32,33, including coronary heart disease, stroke, congestive heart failure, peripheral arterial disease, diabetes, cancer, and hip fracture, was self-reported at baseline. Incident diseases were identified during study followup through periodic clinic visits and mailed questionnaires administered biannually to clinical trial participants and annually to observational study and extension study participants. All diseases, except for diabetes, were adjudicated by physician review of medical records. Diabetes was defined as self-reported physician diagnosis of diabetes treated with either oral medication or insulin, which has been previously validated34.
Outcomes
Women were classified as having survived to age 85 or died before this age. Deaths were verified by physician adjudication using hospital records, autopsy or coroner’s reports, or death certificates. To ensure complete mortality followup, periodic linkage to the National Death Index was performed for all participants, including those lost to followup.
Late-life mobility status was assessed with the physical function subscale of the 36-item Short Form Health Survey35, which participants completed annually after 2005. Among women who survived to age 85, mobility limitation was defined as reporting limitations in the ability to walk 1 block or climb 1 flight of stairs31,32. The most recent measures with the least missing data that were collected within 2 years of the 85th birth year were used. Three possible aging outcomes were defined, similar to previous aging studies36,37: survived to age 85 with mobility limitation; survived to age 85 with intact mobility (reference); or died before age 85. The age of 85 was selected because in US census reports, individuals aged ≥ 85 years comprise the “oldest-old” population, which is the fastest growing segment of the population aged ≥ 65 years38.
Statistical analysis
Baseline characteristics were compared across quartiles of total leisure-time PA using chi-square tests for categorical variables, and ANOVA for normally distributed and Kruskal-Wallis tests for non-normally distributed continuous variables.
The analytic approach for this study was similar to that from previous prospective studies examining aging outcomes, in which the focus is not on associations with time to disability or time to mortality, but rather mobility at advanced age or death before advanced age36,37. Multinomial logistic regression models were used to examine associations between PA variables and the mobility outcome. Separate models were fit for total leisure-time PA, MVPA, walking, and walking speed as the primary exposures. Analyses were conducted separately for THR and TKR. Multivariable models were adjusted for age at first THR or TKR, race/ethnicity, study membership (observational study or clinical trial), education, baseline marital status, baseline alcohol consumption, baseline smoking, baseline BMI, hormone therapy use, number of chronic diseases, baseline depression, and occurrence of a second THR (or TKR). Models for THR were also adjusted for use of TKR and vice versa. Additional models were adjusted for baseline mobility to determine whether this factor mediated associations between PA variables and late-life mobility. To test for linear trend associations, continuous measures of PA variables were included in multivariable models. Interactions between PA variables and age at TJR and BMI were also tested.
In sensitivity analyses, to check for potential bias due to missing late-life functional data, women who survived to age 85 but had missing mobility data were assumed to have late-life mobility limitation in the models. A sensitivity analysis excluding women who received a TJR within 2 years of the baseline study visit was also conducted to determine whether severe cases of hip or knee OA at the time of the baseline PA assessment biased findings. Finally, to determine whether the timing of PA assessment biased findings, additional models were adjusted for number of years between the PA questionnaire and TJR.
P values were 2-sided and significant at p < 0.05. Statistical analyses were conducted using SAS Version 9.3 (SAS Institute Inc.).
RESULTS
The mean age at baseline was 69.5 years (SD 3.0, range 65–79) in the overall cohort. Women were followed for an average of 8.1 years (SD 3.5, range, 3–18) after TJR. Further, 94.9% were white, 3.0% were African American, and 2.2% were other racial/ethnic groups. In the THR cohort, 47.7% had mobility limitation at age 85, 35.3% had intact mobility at age 85, and 17.0% died before age 85. The mean age at first THR was 77.7 years (SD 3.9, range 67–84). In total, 20.6% had a second THR, 4.8% had a revision hip procedure, and 17.8% had TKR. In the TKR cohort, 48.7% had mobility limitation at age 85, 31.7% had intact mobility at age 85, and 19.6% died before age 85. The mean age at first TKR was 77.5 years (SD 4.0, range 67–84). Overall, 28.5% had a second TKR, 3.8% had a knee revision procedure, and 9.4% had THR.
At baseline, women with higher levels of total PA were more likely to be college graduates, have higher income, currently consume alcohol, and have excellent or very good self-rated health (Table 1). They were less likely to be obese, have depressive symptoms, have a history of chronic diseases, or report severe joint pain or stiffness at baseline. Women with lower PA levels were more likely to have mobility limitation at baseline. Half of women who reported not participating in any PA had baseline mobility limitation.
Baseline characteristics by total physical activity among older women with total joint replacement for osteoarthritis. Values are n (%) unless otherwise specified.
Relative to women with THR with the highest level of total PA (> 17.42 MET-h/wk), physically inactive women (OR 2.36, 95% CI 1.30–4.26) had the highest odds of mobility limitation at age 85 (p for trend < 0.001) in the multivariable model (Table 2). Compared with women with THR who reported ≥ 15 MET-h/wk of MVPA, the odds of mobility limitation were significantly higher for lower levels of MVPA and were highest in women with no MVPA (OR 2.00, 95% CI 1.24–3.22, p for trend < 0.001). Relative to women with the greatest amount of walking (> 6.25 MET-h/wk), the odds of mobility limitation were strongest among women who did not engage in any walking (OR 1.81, 95% CI 1.20–2.72, p for trend = 0.003). Further, the odds of mobility limitation were about 2-fold higher among women who reported casual (i.e., slower than normal) compared with fast walking speed (p for trend = 0.02). There were significant dose-response associations of total PA, MVPA, walking, and walking speed with death before age 85. In models adjusting for baseline mobility, findings were no longer significant (data not shown).
Multivariable associations of physical activity with mobility among women with total hip replacement for osteoarthritisa. Values are n/n (%) unless otherwise specified.
Inactive women with TKR had the highest odds of mobility limitation at age 85 (OR 1.68, 95% CI 1.15–2.45) and dying before age 85 (OR 1.79, 95% CI 1.09–2.95) compared with women who were the most physically active before TKR (p for trend for mobility = 0.007 and p for trend for death = 0.02; Table 3). Compared with women engaging in ≥ 15 MET-h/week of MVPA, those with lower levels of MVPA had significantly increased odds of mobility limitation (p for trend = 0.002). Women with no MVPA had a 2-fold increased risk of dying before 85 years (OR 2.24, 95% CI 1.47–3.42, p for trend = 0.01). Women with casual relative to fast walking speed had increased odds of mobility limitation (p for trend = 0.007) and death (p for trend < 0.001). After adjusting for baseline mobility, PA variables were no longer significantly associated with late-life mobility or death (data not shown).
Multivariable associations of physical activity with mobility among women with total knee replacement for osteoarthritisa. Values are n/n (%) unless otherwise specified.
Findings did not vary by age at TJR or BMI. In sensitivity analyses, findings were not altered after excluding women who underwent a THR or TKR within 2 years of the baseline study visit. In sensitivity analyses, assuming that women who survived to age 85 with missing data for mobility had late-life mobility limitation in the multivariable models, findings were similar. Adjustment for number of years between PA assessment and TJR did not alter the findings (data not shown).
DISCUSSION
In our prospective study, women who engaged in lower amounts of total PA and MVPA before TJR for hip or knee OA had increased risk of late-life mobility limitation as well as death. Risks for poor mobility and death were also significantly increased among women with slower walking speed. These findings were independent of demographic characteristics, lifestyle behaviors, BMI, and chronic conditions that may impair function. Our data underscore that a large proportion of women with hip or knee OA may reach old age with poor mobility despite TJR.
Among the general population, PA levels measured in midlife or early old age predicted mobility and physical functioning later in life20,21,22,23,24. A community-based study among older men and women observed that regular PA (i.e., walking, gardening, or vigorous exercise) at least 3 times/week was associated with maintaining the ability to walk a half mile or up and down stairs without help 4 years later24. Among men and women aged 70 to 89 years, a PA intervention compared with a health education program was associated with decreased risk of developing mobility disability, defined as the inability to walk 400 m without help22. Our findings build upon previous research by examining a cohort consisting exclusively of patients with OA, an important consideration given that OA is a leading cause of disability among older adults1.
Although there is some evidence that PA may improve physical function before TJR14, it is unclear whether it optimizes longterm postoperative outcomes, because most studies have been limited by short postsurgery followup periods15,16,17,39,40. A 6-week exercise intervention immediately before THR or TKR did not improve functional outcomes at 6 months after surgery15. However, the longterm effectiveness of PA in minimizing disability among patients with OA may depend on remaining physically active over time. For example, hip and knee OA patients who remained adherent to recommended home exercises for up to 5 years showed greater improvements in physical function11. The dose-response associations of total PA, MVPA, and walking with mobility in old age and death in our study suggest that there may be longterm advantages in being physically active for women with hip or knee OA. Further, the stronger associations of PA with mobility limitation among women with THR than with TKR support future studies examining whether PA confers greater benefit for patients with hip or knee OA.
Some studies showed that patient PA levels do not change postoperatively, despite evidence that PA after TJR is associated with improved function39,41,42,43. The research to date demonstrates that there may be advantages in PA both pre- and postoperatively. Accordingly, instilling behavioral change among TJR patients to participate in greater amounts of PA may be important for improvement of functional health in the long term.
We found that women with slower self-reported walking speed had increased risk of mobility limitation and death. Faster walking speed has been associated with decreased risk of knee OA44. Among non-disabled older adults, walking speed is a predictor of future disability and mortality45. Our results suggest that walking speed may also be a marker of future aging outcomes among OA patients with TJR.
The benefits of PA in the setting of OA include attenuation of joint loading, maintenance of joint stability, and assistance with joint motion and elasticity of periarticular tissues, all of which are important to maintaining function1. Extended periods of inactivity due to OA increase risk of obesity, cardiovascular disease, and other conditions that may lead to poor function1; however, our findings were independent of these diseases. All women who joined the WHI were ambulatory at baseline. Nonetheless, we observed that women who were less physically active were more likely to have difficulty walking 1 block or climbing 1 flight of stairs at baseline. Moreover, after controlling for baseline mobility, dose-response associations of PA with late-life mobility limitation and death were no longer significant. Because baseline PA and mobility were both assessed at the same study visit, we could not determine whether PA resulted in better mobility before TJR and consequently in late life. Notably, it was previously shown that OA patients with better preoperative function achieved greater improvements in function after THR and TKR; however, factors such as PA that could result in better preoperative function were not assessed46.
Limitations of our study include self-reported PA and lack of information on strength, resistance, and flexibility exercises. Self-reported PA correlates weakly with objectively measured PA, which may provide a better estimate of time spent in activities of varying intensity47. Although we categorized PA levels resulting in loss of power, we also tested linear trend associations using continuous measures. We lacked information on specific types (e.g., household or work-related) of activity. Self-reported total energy expenditure from the WHI PA questionnaire correlates weakly with objectively measured total energy expenditure, and thus may be prone to measurement error48. PA was collected at baseline and several years before TJR. However, this approach is consistent with previous studies linking PA patterns in midlife and early old age to late-life disability20,21,22,23,24. Our study consisted only of fee-for-service beneficiaries, thus findings may not be generalized to women enrolled in Medicare managed care plans. In the WHI, fee-for-service beneficiaries are more likely to be white and of a higher socioeconomic status. Because 95% of women in this subcohort of WHI women were white, we could not evaluate ethnic differences. Many women who survived to age 85 had missing information on late-life mobility. However, after fitting models assuming that these women had late-life mobility limitation, findings were similar, suggesting that our findings were not biased by missing outcome data. Our study was focused on examination of healthy aging outcomes in TJR recipients and did not address whether PA levels were associated with increased risk of mortality among TJR survivors.
A strength of our study is the population-based sample of women followed for a long period of time after TJR, which provided the unique opportunity to assess late-life functional outcomes. The combination of WHI and Medicare data was a rich resource to examine the association of PA with late-life functional outcomes and death.
Women with higher levels of total PA, MVPA, and walking, as well as faster walking speed, before TJR for hip or knee OA were more likely to have intact mobility in late life and have decreased risk of death. Additional studies are warranted to determine whether engaging in PA before TJR reduces risk of disability among patients with severe hip or knee OA.
ONLINE SUPPLEMENT
Supplementary material accompanies the online version of this article.
Acknowledgment
We acknowledge the following Women’s Health Initiative Investigators: Program Office: Jacques Rossouw, Shari Ludlam, Dale Burwen, Joan McGowan, Leslie Ford, and Nancy Geller (US National Heart, Lung, and Blood Institute, Bethesda, Maryland); Clinical Coordinating Center: Garnet Anderson, Ross Prentice, Andrea LaCroix, and Charles Kooperberg (Fred Hutchinson Cancer Research Center, Seattle, Washington); Investigators and Academic Centers: JoAnn E. Manson (Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts), Barbara V. Howard (MedStar Health Research Institute/Howard University, Washington, DC), Marcia L. Stefanick (Stanford Prevention Research Center, Stanford, California); Rebecca Jackson (The Ohio State University, Columbus, Ohio), Cynthia A. Thomson (University of Arizona, Tucson/Phoenix, Arizona), Jean Wactawski-Wende (State University of New York at Buffalo, Buffalo, New York), Marian Limacher (University of Florida, Gainesville/Jacksonville, Florida), Robert Wallace (University of Iowa, Iowa City/Davenport, Iowa), Lewis Kuller (University of Pittsburgh, Pittsburgh, Pennsylvania); Sally Shumaker (Wake Forest University School of Medicine, Winston-Salem, North Carolina).
Footnotes
Supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant T32 AR064194 to AHS), the US National Heart, Lung, and Blood Institute (contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C), and the Women’s Health Center of Excellence at the University of California, San Diego School of Medicine. The National Heart, Lung, and Blood Institute has representation on the Women’s Health Initiative Steering Committee, which governed the design and conduct of the study, the interpretation of the data, and preparation and approval of manuscripts.
- Accepted for publication February 13, 2018.
REFERENCES
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