Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jul 1.
Published in final edited form as: Arthritis Care Res (Hoboken). 2018 Apr 25;70(7):1030–1038. doi: 10.1002/acr.23438

General and Abdominal Obesity as Risk Factors for Late-Life Mobility Limitation after Total Knee or Hip Replacement for Osteoarthritis among Women

Aladdin H Shadyab 1, Wenjun Li 2, Charles B Eaton 3, Andrea Z LaCroix 1
PMCID: PMC5882615  NIHMSID: NIHMS909408  PMID: 28973836

Abstract

Objective

To investigate associations of body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) with survival to age 85 with mobility limitation or death before age 85 among older women with total knee (TKR) or total hip (THR) replacement for osteoarthritis.

Methods

This was a prospective study of women (aged 65–79 years at baseline) from the Women’s Health Initiative recruited during 1993–1998 and followed through 2012. Women’s Health Initiative data were linked to Medicare claims data to determine TKR (n=1,867) and THR (n=944) for osteoarthritis. Women were followed for up to 18 years after undergoing THR or TKR to determine mobility status at age 85.

Results

Compared with normal-weight women, overweight, obese I, and obese II women with THR had significantly increased risk of survival to age 85 with mobility limitation (P for linear trend <0.001), with the strongest risk among obese II women (OR = 4.37; 95% CI = 1.96–9.74). Obese II women with THR also had increased risk of death before age 85. Women with THR and WC >88 cm relative to ≤88 cm had increased risk of survival to age 85 with mobility limitation (OR = 1.65; 95% CI = 1.17–2.33) but not death before age 85. High BMI, WC, and WHR were associated with significantly increased risk of late-life mobility limitation and death among women with TKR for osteoarthritis.

Conclusion

Among older women who underwent THR or TKR for osteoarthritis, baseline general and abdominal obesity were associated with increased risk of late-life mobility limitation.


Osteoarthritis (OA) is a major cause of disability among older adults, leading to pain, functional limitations, and poor quality of life (1). Currently affecting 30.8 million people in the United States (US), the prevalence of OA is expected to increase dramatically due to an aging population and the burgeoning obesity epidemic (1,2). Total joint replacement (TJR; including total hip [THR] and total knee [TKR] replacements) is effective to improve mobility and alleviate pain among patients with severe hip or knee OA (1,3,4). More than 7 million people, the majority (>4 million) of whom are women, are currently living with a THR or TKR in the United States (5). In the coming decades, these numbers are expected to increase with the rise in OA and need for improved mobility among OA patients (6). Concurrently, life expectancy among women is increasing, and by 2060, approximately 12 million women will be ages 85 years and older (7). As millions of women with THR and TKR reach this advanced age, it is important, from a public health perspective, to understand which modifiable factors predict disability-free survival after surgery.

High body mass index (BMI) is associated with increased risk of hip and knee OA and utilization of THR and TKR (8,9). In prior studies, associations of BMI with functional outcomes following TKR and THR have been conflicting (1025). Some studies have shown worse functional outcomes and poorer mobility following THR and TKR for obese compared with normal-weight persons (1113,17,21), whereas others have suggested that BMI is not associated with differences in function after surgery (14,15,19,20,23,24,25).

Waist circumference (WC) and waist-hip ratio (WHR), measures of abdominal obesity, have been studied to a less extent in relation to OA. A limited number of studies has observed associations of higher WC and WHR with increased risk of hip and knee OA and greater utilization of THR and TKR (8,9). However, no study has evaluated associations of WC and WHR with functional outcomes after TJR. Previous studies were limited by reliance on hospital-based registries with short post-surgery follow-up periods (11,1921,25). Long-term studies are needed to examine the potential impact of general and abdominal obesity on late-life disability after undergoing TJR for hip or knee OA. General and abdominal obesity are associated with incident mobility limitation among older adults in the general population (26,27,28) and may influence mobility outcomes in OA patients via distinct mechanisms. Whereas general obesity results in an overload effect on joint cartilage leading to cartilage destruction (29), abdominal obesity is more closely linked to inflammation (30), a risk factor for mobility limitation among older adults (31).

In this prospective study, we examined associations of BMI, WC, and WHR with survival to age 85 with mobility limitation and death before age 85 among women who underwent THR or TKR for OA. The data were from the Women’s Health Initiative (WHI) — a population-based, longitudinal study of postmenopausal women who were followed for up to 18 years after undergoing TJR.

MATERIALS AND METHODS

Study population and design

Details of the WHI study design are described elsewhere (32). Briefly, 161,808 postmenopausal women aged 50–79 years were recruited between 1993 and 1998 (baseline time point for this study) from 40 US clinical centers to participate in one or more of three Clinical Trials (N=68,133), including one of two Hormone Therapy (HT) trials, or an Observational Study (N=93,676). The Observational Study and Clinical Trials followed women through 2005, at which time 77% agreed to be followed through 2010 in the first Extension Study. In 2010, 87% consented to follow-up through 2015 in the second Extension Study. Our study was exclusive to women ages 65 years and older at baseline who were continuously enrolled in fee-for-service Medicare from baseline until the end of follow-up in 2012, and who underwent THR (N=1,867) or TKR (N=944) for OA at any time during follow-up (Supplementary Methods and Supplementary Figures 1 and 2). Medicare claims data were used to identify THR and TKR. Participants provided written informed consent, and institutional review board approval was received by all participating institutions.

Anthropometric characteristics

BMI, WC, and WHR were measured at baseline. Clinic staff measured weight to the nearest 0.1 kg and height to the nearest 0.5 cm using a calibrated beam balance scale and a stadiometer anchored to the wall, respectively. BMI was defined as weight in kilograms divided by height in meters squared and categorized as follows (33): normal-weight (≤24.9 kg/m2), overweight (25–29.9 kg/m2), obese I (30–34.9 kg/m2), and obese II (≥35.0 kg/m2). As there were few women in the underweight (<18.5 kg/m2) and obese III (≥40.0 kg/m2) categories, these women were included in the normal-weight and obese II categories, respectively. Waist circumference and hip circumference were measured to the nearest 0.5 cm over nonbinding undergarments at the level of the umbilicus and the fullest hip circumference, respectively. WC and WHR were dichotomized at cutpoints of 88 cm and 0.85, respectively, clinically-defined cutpoints indicating abdominal obesity among women (34). Because WC and WHR have varying associations with health outcomes (34), both indicators of abdominal adiposity were examined in this study.

Covariates

At baseline, participants completed questionnaires assessing demographic characteristics, lifestyle behaviors, and medical history. Participants selected race/ethnicity as American Indian/Alaskan Native, Asian/Pacific Islander, black/African American, Hispanic/Latina, white, or other. Additional demographic characteristics included education, income, and marital status. Lifestyle behaviors included alcohol consumption, smoking status, and total energy expenditure from self-reported duration and frequency of recreational physical activity (summarized into metabolic equivalent-hours/week). The Burnham scale was used to assess symptoms consistent with depressive disorders (35). Participants reported their general health and joint pain or stiffness. HT use was defined according to self-reported use and participation in the HT trials.

History of chronic diseases associated with obesity and loss of mobility, including coronary heart disease, stroke, congestive heart failure, peripheral arterial disease, diabetes, cancer, and hip fracture, was collected (26,36,37). Chronic disease history was self-reported at baseline, and incident diseases were identified during study follow-up via periodic clinic visits and mailed questionnaires sent biannually to participants in the Clinical Trials and annually to Observational Study and Extension Study participants. Diagnoses of incident diseases except for diabetes were ascertained by physician adjudication. Diabetes was defined as self-reported physician diagnosis of diabetes treated with either oral medication or insulin. Total number of chronic diseases was used for this analysis.

Outcomes

The outcome had three categories: survived to age 85 with mobility limitation; survived to age 85 with intact mobility (reference); or died before age 85.

Women were classified as having survived to age 85 or died before this age. Trained physician adjudicators verified deaths with hospital records, autopsy or coroner’s reports, or death certificates. WHI staff performed periodic linkage to the National Death Index for all participants, including those lost to follow-up, for verification if medical records or death certificates were not available.

During the Extension Studies, participants completed an annual questionnaire that included the physical function subscale of the 36-item Short Form Health Survey (38). The subscale has ten questions about limitations in various daily activities. Participants reported whether their health limited “a lot” or “a little” or did not limit their ability to perform these activities.

Women who survived to age 85 and reported at that time that their health limited “a lot” or “a little” their ability to walk one block or climb one flight stairs were classified as having mobility limitation in late life (26,36); otherwise, they had intact mobility. The most recent measures that were collected within 2 years of the 85th birth year with the least missing data were used to classify women’s mobility status in late life. The age of 85 was chosen because traditionally, individuals ages 85 years and older have been used in census reports to define the “oldest-old” population, which is the fastest-growing segment of the population ages 65 years and older (39). Therefore, this analysis focused on the mobility status of women with TJR at an important, but vulnerable, age milestone.

Statistical analysis

Frequencies and percentages are presented for categorical variables, and means and standard deviations (SD) are shown for continuous variables. Descriptive characteristics were compared across adiposity categories using chi-square tests for categorical variables. Normally-distributed continuous variables were compared using analysis of variance and two-sample t-tests, whereas non-normally distributed continuous variables were compared using Kruskal-Wallis or Wilcoxon-rank sum tests.

The analytic approach for this study was similar to previous studies evaluating associations of risk factors with aging outcomes (27,40). Multinomial logistic regression models were used to examine associations of BMI, WC, and WHR with the mobility outcome. Separate models were fit for THR and TKR analyses. The multivariable models were adjusted for potential confounders selected from the literature including age at first THR or TKR, race/ethnicity, study membership (Observational Study or Clinical Trial), education, marital status, alcohol consumption, smoking, physical activity, HT use, number of chronic diseases, depression, and occurrence of a second THR (or TKR) (26,28,36,41). Models for THR were also adjusted for occurrence of a TKR and vice versa. Due to collinearity, BMI and abdominal adiposity measures were not included in the same model.

Linear trend tests for BMI and WC were tested by including these variables as continuous predictors in the models. Multicollinearity between independent variables in the models was tested using tolerance values but was not observed in the analyses. Because age at TJR may predict post-operative outcomes (42), interactions between adiposity variables and age at TJR were tested using likelihood ratio tests. Stratified analyses by age at TJR were performed for significant interactions using the following categories: 67–74 years, 75–79 years, and 80–82 years. These cutpoints were selected because average age at THR and TKR among US Medicare beneficiaries is 75 years (43); hence, women who received their first TJR at <75 years were considered young at TJR. Women who underwent TJR at ages 80 years and older were considered older at TJR (44). Interactions between BMI, WC, and WHR were also tested.

Several sensitivity analyses were conducted. Alternative definitions for mobility limitation were considered. First, if women responded that their health limited “a lot” their ability to walk one block or climb one flight of stairs, they were classified as having mobility limitation; women who reported that their health limited “a little” or did not limit their ability to perform these activities were placed in the intact mobility category. A previous definition for mobility limitation (27), in which women who reported using a walker, crutches, or a wheelchair to walk on a level surface or that their health limited “a lot” the ability to walk one block or climb one flight of stairs, was also tested. To address potential misclassification due to timing of adiposity assessment, the analysis was restricted to women whose baseline visit was within five years of the first TJR. Additional multivariable models were adjusted for year of surgery to determine if changes in surgical factors throughout time influenced the findings.

P-values were two-sided and significant at P <0.05. Interactions were considered significant at P<0.10. Statistical analyses were conducted using SAS Version 9.3 (SAS Institute, Cary, NC).

RESULTS

Descriptive characteristics

Women were aged on average 69.3 (SD, 2.9; range, 65–79) years old at baseline (Table 1). Median follow-up time after TJR was 8 (range, 3–18) years. The majority (94.7%) were white, 3.0% were African American, and 2.3% were in other race/ethnicity groups. Average ages at THR and TKR were 76.9 (SD, 3.5; range, 67–82) and 76.8 (SD 3.6; range, 67–82) years, respectively. Among women with THR, 45.7% had mobility limitation at age 85, 34.8% had intact mobility at age 85, and 19.6% died before age 85. Among the TKR cohort, 47.9% survived to age 85 with mobility limitation, 30.4% survived to age 85 with intact mobility, and 21.8% died before age 85.

Table 1.

Baseline characteristics among women with total hip or knee replacement for osteoarthritis (N=2631)

Age, years, mean ± SD 69.3 ± 2.9
Race/ethnicity, no. (%)
 White 2486 (94.7)
 African American 78 (3.0)
 Other 60 (2.3)
Body mass index, kg/m2, no. (%)
 Normal (≤24.9) 678 (26.0)
 Overweight (25.0–29.9) 945 (36.2)
 Obese I (30.0–34.9) 618 (23.7)
 Obese II (≥35.0) 367 (14.1)
Waist circumference, cm, no. (%)
  ≤88 1342 (51.2)
  >88 1277 (48.8)
Waist-hip ratio
 ≤0.85 1756 (67.1)
 >0.85 860 (32.9)
Education, no. (%)
 Less than high school 82 (3.1)
 High school 430 (16.4)
 Some college 936 (35.7)
 College graduate 1175 (44.8)
Income, no. (%)
 <$20,000 348 (14.1)
 $20,000–$50,000 1252 (50.9)
 >$50,000 862 (35.0)
Marital status, no. (%)
 Married/living as married 1620 (61.7)
 Widowed 640 (24.4)
 Divorced/separated 257 (9.8)
 Never married 107 (4.1)
Alcohol consumption, no. (%)
 Non-drinker 255 (9.8)
 Past drinker 391 (15.0)
 Current drinker 1970 (75.3)
Smoking status, no. (%)
 Never smoked 1331 (51.2)
 Past smoker 1180 (45.4)
 Current smoker 89 (3.4)
Physical activity, MET-hours/week, mean ± SD 13.4 ± 14.0
Hormone therapy use, no. (%)
 Never 934 (36.5)
 Past 642 (25.1)
 Current 981 (38.4)
Self-rated health, no. (%)
 Excellent 354 (13.6)
 Very good 1063 (40.8)
 Good 988 (37.9)
 Fair/poor 202 (7.8)
Burnham depression scale score ≥0.06, no. (%) 192 (7.5)
History of chronic diseases*, no. (%)
 Coronary heart disease 270 (10.3)
 Stroke 218 (8.3)
 Congestive heart failure 127 (4.8)
 Peripheral arterial disease 104 (4.0)
 Diabetes 419 (15.9)
 Cancer 731 (27.8)
 Hip fracture 155 (5.9)
 Any disease 1799 (68.4)
Mobility limitation, no. (%) 729 (28.0)

Note. Sample sizes for variables in each column do not sum to total due to missing data.

MET = metabolic equivalent; SD = standard deviation; THR = total hip replacement; TKR = total knee replacement.

*

Includes diseases reported at baseline and incident diseases during follow-up.

Women who were obese, had high WC, or had high WHR were more likely to be African American, have lower income, have lower levels of physical activity, have mobility limitation, and have severe joint pain or stiffness at baseline (Supplementary Table 2). They were also more likely to have a history of chronic diseases and less likely to be college graduates, consume alcohol, or use HT.

Total hip replacement findings

Relative to normal-weight women with THR, the odds of mobility limitation at age 85 were significantly higher among overweight (OR, 1.53; 95% CI, 1.04–2.25), obese I (OR, 2.40; 95% CI, 1.49–3.85) and obese II (OR, 4.37; 95% CI, 1.96–9.74) women in the multivariable model (Table 2). The odds of death before age 85 were significantly higher among obese II compared with normal-weight women with THR (OR, 6.08; 95% CI, 2.39–15.49) but were not significantly higher among overweight or obese I women. BMI was linearly associated with mobility limitation and death among women with THR (P for trend <0.001). Women with THR and WC >88 compared with ≤88 cm had significantly higher odds of mobility limitation (OR, 1.65; 95% CI, 1.17–2.33) but not death; however, there were linear associations of WC with mobility limitation (P for trend<0.001) and death (P for trend=0.002). There were no significant associations between WHR and mobility limitation or death. There were no significant interactions between any of the adiposity measures and age at first THR.

Table 2.

Multivariable associations of body mass index, waist circumference, and waist-hip ratio with mobility and survival status among women with total hip replacement for osteoarthritis*

Survived to age 85 with mobility limitation
Died before age 85
No. survived to 85 with mobility limitation/total (%) Multivariable-adjusted
OR (95% CI)
No. died before 85/total (%) Multivariable-adjusted
OR (95% CI)
Body mass index, kg/m2
 Normal (≤24.9) 125/335 (37.3) 1 [Ref] 54/335 (16.1) 1 [Ref]
 Overweight (25.0–29.9) 151/329 (45.9) 1.53 (1.04–2.25) 63/329 (19.2) 1.40 (0.83–2.37)
 Obese I (30.0–34.9) 108/189 (57.1) 2.40 (1.49–3.85) 36/189 (19.1) 1.40 (0.72–2.72)
 Obese II (≥35.0) 45/87 (51.7) 4.37 (1.96–9.74) 32/87 (36.8) 6.08 (2.39–15.49)
Waist circumference§, cm
 ≤88 238/570 (41.8) 1 [Ref] 99/570 (17.4) 1 [Ref]
 >88 192/372 (51.6) 1.65 (1.17–2.33) 86/372 (23.1) 1.48 (0.93–2.35)
Waist-hip ratio
 ≤0.85 287/643 (44.6) 1 [Ref] 120/643 (18.7) 1 [Ref]
 >0.85 143/299 (47.8) 1.11 (0.78–1.58) 65/299 (21.7) 1.10 (0.69–1.77)

CI = confidence interval; OR = odds ratio.

*

Reference group is survived to age 85 with intact mobility.

Adjusted for age at first total hip replacement, study membership, education, race/ethnicity, baseline marital status, baseline alcohol consumption, baseline smoking status, baseline total physical activity, total number of chronic diseases, hormone therapy use, baseline depression, second total hip replacement, and total knee replacement.

P for interaction with age at first total hip replacement = 0.77. P for trend (survived to age 85 with mobility limitation) = <0.001. P for trend (died before 85) = <0.001.

§

P for interaction with age at first total hip replacement = 0.51. P for trend (survived to age 85 with mobility limitation) = <0.001. P for trend (died before 85) = 0.002.

P for interaction with age at first total hip replacement = 0.60.

Total knee replacement findings

Associations of BMI and WC with mobility limitation and death varied by age at first TKR (Tables 3 and 4; Pinteraction=0.08 and Pinteraction=0.002, respectively). Among women who had their first TKR at 67–74 years old, the odds of mobility limitation were significantly higher among obese I (OR, 2.75; 95% CI, 1.30–5.82) and obese II (OR, 3.24; 95% CI, 1.40–7.50) relative to normal-weight women. The odds of death were significantly higher among obese I and obese II but not overweight women. Among women aged 75–79 years at TKR, only obese II women had increased odds of mobility limitation, and BMI was not associated with death. In the oldest age group (80–82 years), the odds of mobility limitation were significantly higher among obese but not overweight women, whereas the odds of death were higher among overweight and obese women. Obese I and II women were not separated in the oldest age group due to small sample size for the obese II category. BMI was linearly associated with mobility limitation among all age groups and linearly associated with death only among the youngest age group.

Table 3.

Multivariable associations of body mass index, waist circumference, and waist-hip ratio with mobility and survival status among women with total knee replacement for osteoarthritis*

Survived to age 85 with mobility limitation
Died before age 85
No. survived to 85 with mobility limitation/total (%) Multivariable-adjusted
OR (95% CI)
No. died before 85/total (%) Multivariable-adjusted
OR (95% CI)
Body mass index, kg/m2
 Normal (≤24.9) 159/379 (42.0) 1 [Ref] 62/379 (16.4) 1 [Ref]
 Overweight (25.0–29.9) 319/692 (46.1) 1.22 (0.90–1.64) 135/692 (19.5) 1.44 (0.95–2.20)
 Obese I (30.0–34.9) 245/468 (52.4) 1.75 (1.24–2.48) 109/468 (23.3) 1.81 (1.13–2.91)
 Obese II (≥35.0) 159/308 (51.6) 2.32 (1.52–3.53) 98/308 (31.8) 2.78 (1.63–4.76)
Waist circumference§, cm
 ≤88 377/858 (43.9) 1 [Ref] 150/858 (17.5) 1 [Ref]
 >88 513/997 (51.5) 1.62 (1.28–2.06) 254/997 (25.5) 1.57 (1.15–2.15)
Waist-hip ratio
 ≤0.85 583/1227 (47.5) 1 [Ref] 229/1227 (18.7) 1 [Ref]
 >0.85 305/625 (48.8) 1.35 (1.05–1.73) 174/625 (27.8) 1.65 (1.20–2.28)

CI = confidence interval; OR = odds ratio.

*

Reference group is survived to age 85 with intact mobility.

Adjusted for age at first total knee replacement, study membership, education, race/ethnicity, baseline marital status, baseline alcohol consumption, baseline smoking status, baseline total physical activity, total number of chronic diseases, hormone therapy use, baseline depression, second total knee replacement, and total hip replacement.

P for interaction with age at first total knee replacement = 0.08. P for trend (survived to age 85 with mobility limitation) = <0.001. P for trend (died before 85) = <0.001.

§

P for interaction with age at first total knee replacement = 0.002. P for trend (survived to age 85 with mobility limitation) = <0.001. P for trend (died before 85) = <0.001.

P for interaction with age at first total knee replacement = 0.54.

Table 4.

Multivariable associations of body mass index, waist circumference, and waist-hip ratio with mobility and survival status stratified by age at total knee replacement for osteoarthritis*

Survived to age 85 with mobility limitation
Died before age 85
No. survived to 85 with mobility limitation/total (%) Multivariable-adjusted
OR (95% CI)
No. died before 85/total (%) Multivariable-adjusted
OR (95% CI)
Age 67–74 years
Body mass index, kg/m2
 Normal (≤24.9) 27/75 (36.0) 1 [Ref] 17/75 (22.7) 1 [Ref]
 Overweight (25.0–29.9) 71/154 (46.1) 1.95 (0.97–3.91) 38/154 (24.7) 1.97 (0.83–4.66)
 Obese I (30.0–34.9) 66/144 (45.8) 2.75 (1.30–5.82) 54/144 (37.5) 4.36 (1.80–10.54)
 Obese II (≥35.0) 47/117 (40.2) 3.24 (1.40–7.50) 55/117 (47.0) 5.73 (2.19–14.97)
Waist circumference, cm
 ≤88 81/185 (43.8) 1 [Ref] 37/185 (20.0) 1 [Ref]
 >88 132/307 (43.0) 1.88 (1.14–3.10) 127/307 (41.4) 3.77 (2.08–6.83)
Age 75–79 years§
Body mass index, kg/m2
 Normal (≤24.9) 76/181 (42.0) 1 [Ref] 39/181 (21.6) 1 [Ref]
 Overweight (25.0–29.9) 146/323 (45.2) 0.96 (0.61–1.49) 72/323 (22.3) 0.99 (0.56–1.74)
 Obese I (30.0–34.9) 124/220 (56.4) 1.60 (0.97–2.65) 43/220 (19.6) 0.92 (0.47–1.78)
 Obese II (≥35.0) 78/141 (55.3) 1.99 (1.10–3.62) 38/141 (27.0) 1.58 (0.75–3.32)
Waist circumference, cm
 ≤88 177/410 (43.2) 1 [Ref] 91/410 (22.2) 1 [Ref]
 >88 252/460 (54.8) 1.55 (1.10–2.18) 101/460 (22.0) 0.95 (0.61–1.47)
Age 80–82 years
Body mass index, kg/m2
 Normal (≤24.9) 56/123 (45.5) 1 [Ref] 6/123 (4.9) 1 [Ref]
 Overweight (25.0–29.9) 102/215 (47.4) 1.32 (0.81–2.15) 25/215 (11.6) 3.44 (1.18–10.02)
 Obese (≥30.0) 89/154 (57.8) 1.78 (1.03–3.06) 17/154 (11.0) 3.78 (1.23–11.67)
Waist circumference, cm
 ≤88 119/263 (45.3) 1 [Ref] 22/263 (8.4) 1 [Ref]
 >88 129/230 (56.1) 1.61 (1.07–2.43) 26/230 (11.3) 1.61 (0.79–3.28)

CI = confidence interval; OR = odds ratio.

*

Reference group is survived to age 85 with intact mobility.

Adjusted for study membership, education, race/ethnicity, baseline marital status, baseline alcohol consumption, baseline smoking status, baseline total physical activity, total number of chronic diseases, hormone therapy use, baseline depression, second total knee replacement, and total hip replacement.

P for trend (BMI): 1. Survived to age 85 with mobility limitation = 0.007. 2. Died before 85 = <0.001.

P for trend (waist circumference): 1. Survived to age 85 with mobility limitation = 0.01. 2. Died before 85 = <0.001.

§

P for trend (BMI): 1. Survived to age 85 with mobility limitation = 0.01. 2. Died before 85 = 0.30.

P for trend (waist circumference): 1. Survived to age 85 with mobility limitation = 0.002. 2. Died before 85 = 0.38.

P for trend (BMI): 1. Survived to age 85 with mobility limitation = 0.02. 2. Died before 85 = 0.22.

P for trend (waist circumference): 1. Survived to age 85 with mobility limitation = 0.002. 2. Died before 85 = 0.23.

The odds of mobility limitation among women with WC >88 cm compared with ≤88 cm were significantly higher among all three age groups and strongest among women aged 67–74 years at first TKR (OR, 1.88; 95% CI, 1.14–3.10), whereas the odds of death were significantly higher only among the youngest age group (OR, 3.77; 95% CI, 2.08–6.83). There were significant linear associations between WC and mobility limitation among all age groups; further, WC was linearly associated with death in the youngest age group. WHR >0.85 was associated with increased risk of mobility limitation and death, but did not vary by age at TKR.

Sensitivity analyses

Women aged 67–74 years at first TKR were more likely to have fair or poor health, have mobility limitation, and have severe joint pain or stiffness than the older age groups at study baseline. However, findings for BMI and WC in TKR analyses were similar after adjusting for self-rated health, baseline function, and joint pain. Alternative definitions for mobility limitation did not alter the findings. Findings were similar when classifying women according to overall level of physical function rather than mobility. After restricting the analysis to women whose baseline study visit was within five years of the TJR, findings were similar. Further, in this cohort, adiposity measures remained fairly stable throughout time. Controlling for year of surgery did not materially alter the findings. There were no significant interactions between BMI and WC or BMI and WHR (data not shown).

DISCUSSION

This was the first study to follow women with THR or TKR to an age milestone of 85 years to examine the implications of body adiposity on late-life mobility. In this prospective study with up to 18 years of follow-up after TJR, overweight, general obesity, and abdominal obesity were risk factors for survival to age 85 with mobility limitation among older women with THR or TKR for OA.

Our findings agree with prior studies showing increased risk of disability following THR and TKR among persons with high BMI (11,12,16,20,23). In a prospective study of >18,000 older adults, obese but not overweight persons were less likely to be capable of walking without support for one hour or walk up one flight of stairs in years 3–9 after THR compared with normal-weight persons (16). In the general population, including a previous study among all WHI women, obesity was a predictor of incident mobility disability later in life (26,27). However, these studies did not evaluate a cohort consisting exclusively of patients with TJR for OA, a population that is particularly vulnerable to disability. Nonetheless, many studies have suggested that functional improvements after THR or TKR are not significantly different between obese and non-obese persons, and that obesity is not associated with clinically important differences in function after these surgeries (10,13,18,19,22,24).

We observed that the relationship between BMI and WC and survival outcomes varied by age at TKR, but not age at THR. Age at TJR may be a predictor of future functional outcomes (44). Furthermore, obese patients may be more likely to undergo THR and TKR at earlier ages (45). In our study, associations of BMI and WC with adverse survival outcomes for TKR recipients were strongest among the youngest age group. Women in our study who underwent TKR at an earlier age were more likely to be in fair or poor health and to report poor mobility and severe joint pain or stiffness at baseline than women who underwent TKR at older ages; however, findings were independent of these factors. It is possible that implant survival may explain our findings of poor late-life function for the younger age group. Although older (i.e., 80–82 years) TKR recipients were healthier than their younger counterparts at baseline, the increased risk of mobility limitation for obese and high WC women in this group suggests that functional recovery after surgery may be slower for older women with high adiposity.

We observed that being in the obese II category was associated with increased risk of death before age 85 among women with THR. In the TKR cohort, general obesity was associated with risk of death in the youngest and oldest age groups, whereas abdominal obesity was associated with risk of death only in the youngest age group. Although risk of short-term mortality following TKR and THR is low (46,47), older age (i.e., ≥80 years) may be a risk factor for short- and long-term mortality following these surgeries (44). A meta-analysis showed that mortality following TKR does not differ between obese and non-obese persons (9). Overweight and obesity were shown to be protective against mortality after THR and TKR (48), likely explained by the observation that overweight and obese patients undergoing elective surgery may be healthier than the general population. However, these studies did not examine outcomes by age at surgery.

Although WC and WHR have not been studied in relation to functional outcomes after TJR, they have been associated with risk of late-life disability and mortality among older adults in the general population (28,34). We observed that associations with survival outcomes were stronger for BMI than for WC or WHR, consistent with a prior study showing a stronger association of BMI than WC or WHR with risk of severe hip and knee OA (8). WHR was associated with mobility limitation and death for TKR, but not THR, consistent with previous studies showing varying associations of abdominal adiposity indicators with health outcomes (34).

The relationship between adiposity and mobility limitation may be due to several mechanisms. Obese individuals may be more likely to have chronic diseases such as cardiovascular disease, diabetes, and cancer, and may be less physically active, both of which are risk factors for loss of function and poor mobility (34,36); however, our findings were independent of these factors. The association of BMI with mobility limitation was stronger than associations for WC or WHR, lending support to the major role of biomechanical factors, such as joint loading, in OA pathogenesis (29). The association of WC with late-life mobility limitation may be mediated by inflammation. WC is strongly associated with low-grade systemic inflammation, especially in women (30), and inflammation increases risk of mobility limitation among older adults (31).

Our study has some limitations. We included only women who were continuously enrolled in Medicare Part A or Parts A+B and excluded those in Managed Care plans, limiting generalization of our findings to fee-for-service beneficiaries. WHI women of lower socioeconomic status and minority women are underrepresented among fee-for-service beneficiaries. Although we lacked information on BMI, WC, or WHR at the time of TJR, we found that weight remained fairly stable throughout time among the majority of women. We also observed that, when restricting the analysis to women whose baseline assessment was within five years of the TJR, findings were the same, suggesting that the timing of adiposity measurement did not bias our findings. We lacked information on surgical factors that may change over time; however, findings were similar after adjusting for year of surgery. We did not have information on body fat percentage, an important indicator of adiposity. BMI may not fully account for total body fat among older adults (49). Rather, WC has been shown to be a better indicator of body fat distribution in this age group (50). Our study was focused solely on examination of healthy aging outcomes in TJR recipients and did not address if adiposity measures were associated with increased risk of mortality among TJR survivors.

A major strength of our study is the population-based cohort of women followed for a long period of time after TJR to determine functional outcomes in old age. The linkage between WHI and Medicare data provided a rich and comprehensive resource from which we could determine associations between adiposity measures and survival outcomes. Finally, we adjusted for many confounders, including physician-adjudicated chronic diseases.

In conclusion, general and abdominal obesity were associated with increased risk of survival to age 85 with mobility limitation and death before age 85 after undergoing TJR for hip or knee OA among older women. These findings inform the evidence base about prognostic factors associated with long-term functional outcomes following TJR and can be used when advising patients on the risks and benefits of THR and TKR. Future studies should evaluate whether weight loss before TJR for hip or knee OA improves long-term aging outcomes. At present, these findings support the maintenance of healthy body weight among women with hip or knee OA scheduled to undergo TJR to lessen the burden of mobility loss in late life.

Supplementary Material

Supp info

SIGNIFICANCE AND INNOVATIONS.

  • Maintaining mobility into old age after total knee or total hip replacement for osteoarthritis is an important public health issue.

  • No previous prospective study has followed patients with total knee or total hip replacement for osteoarthritis into late life to determine modifiable factors associated with functional limitations in old age.

  • In this prospective study, overweight, general obesity, and abdominal obesity were associated with risk of survival to age 85 with mobility limitation among women with total knee or total hip replacement for osteoarthritis.

  • Findings support maintenance of healthy body weight among women with total joint replacement for severe osteoarthritis of the hip or knee to lessen mobility limitations in late life.

Acknowledgments

Women’s Health Initiative Investigators:

Program Office: (National Heart, Lung, and Blood Institute, Bethesda, Maryland) Jacques Rossouw, Shari Ludlam, Dale Burwen, Joan McGowan, Leslie Ford, and Nancy Geller.

Clinical Coordinating Center: (Fred Hutchinson Cancer Research Center, Seattle, WA) Garnet Anderson, Ross Prentice, Andrea LaCroix, and Charles Kooperberg.

Investigators and Academic Centers: (Brigham and Women’s Hospital, Harvard Medical School, Boston, MA) JoAnn E. Manson; (MedStar Health Research Institute/Howard University, Washington, DC) Barbara V. Howard; (Stanford Prevention Research Center, Stanford, CA) Marcia L. Stefanick; (The Ohio State University, Columbus, OH) Rebecca Jackson; (University of Arizona, Tucson/Phoenix, AZ) Cynthia A. Thomson; (University at Buffalo, Buffalo, NY) Jean Wactawski-Wende; (University of Florida, Gainesville/Jacksonville, FL) Marian Limacher; (University of Iowa, Iowa City/Davenport, IA) Robert Wallace; (University of Pittsburgh, Pittsburgh, PA) Lewis Kuller; (Wake Forest University School of Medicine, Winston-Salem,NC) Sally Shumaker.

Funding: The Women’s Health Initiative Program is funded by contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C from the National Heart, Lung, and Blood Institute, National Institutes of Health, US Department of Health and Human Services. This study was also funded by the Women’s Health Center of Excellence at the University of California, San Diego School of Medicine. A.H.S. was funded by grant T32 AR064194 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, US Department of Health and Human Services.

Role of the Sponsor: 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.

Footnotes

Conflict of Interest: The authors declare no conflict of interest.

References

  • 1.Hunter DJ, Schofield D, Callander E. The individual and socioeconomic impact of osteoarthritis. Nat Rev Rheumatol. 2014;10:437–441. doi: 10.1038/nrrheum.2014.44. [DOI] [PubMed] [Google Scholar]
  • 2.Cisternas MG, Murphy L, Sacks JJ, Solomon DH, Pasta DJ, Helmick CG. Alternative methods for defining osteoarthritis and the impact on estimating prevalence in a US population-based survey. Arthritis Care Res (Hoboken) 2016;68:574–580. doi: 10.1002/acr.22721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.George LK, Ruiz D, Sloan FA. The effects of total knee arthroplasty on physical functioning in the older population. Arthritis Rheum. 2008;58:3166–3171. doi: 10.1002/art.23888. [DOI] [PubMed] [Google Scholar]
  • 4.George LK, Ruiz D, Sloan FA. The effects of total hip arthroplasty on physical functioning in the older population. J Am Geriatr Soc. 2008;56:1057–1062. doi: 10.1111/j.1532-5415.2008.01685.x. [DOI] [PubMed] [Google Scholar]
  • 5.Kremers HM, Larson DR, Crowson CS, Kremers WK, Washington RE, Steiner CA, et al. Prevalence of total hip and knee replacement in the United States. J Bone Joint Surg Am. 2015;97:1386–397. doi: 10.2106/JBJS.N.01141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89:780–785. doi: 10.2106/JBJS.F.00222. [DOI] [PubMed] [Google Scholar]
  • 7.US Census Bureau. National Population Projects: Summary Tables. Table 3. Projections of the population by sex and selected age groups for the United States: 2015 to 2060. 2014 https://www.census.gov/population/projections/data/national/2014/summarytables.html. Accessed February 23, 2017.
  • 8.Lohmander LS, Gerhardsson de Verdier M, Rollof J, Nilsoon PM, Engstrom G. Incidence of severe knee and hip osteoarthritis in relation to different measures of body mass: a population-based prospective cohort study. Ann Rheum Dis. 2009;68:490–496. doi: 10.1136/ard.2008.089748. [DOI] [PubMed] [Google Scholar]
  • 9.Wang Y, Simpson JA, Wluka AE, Teichtahl AJ, English DR, Giles GG, et al. Relationship between body adiposity measures and risk of primary knee and hip replacement for osteoarthritis: a prospective cohort study. Arthritis Res Ther. 2009;11:R31. doi: 10.1186/ar2636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Si H, Zeng Y, Shen B, Yang J, Zhou ZK, Kang PD, et al. The influence of body mass index on the outcomes of primary total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc. 2015;23:1824–1832. doi: 10.1007/s00167-014-3301-1. [DOI] [PubMed] [Google Scholar]
  • 11.Liljensoe A, Lauersen JO, Soballe K, Mechlenburg I. Overweight preoperatively impairs clinical outcome after knee arthroplasty: a cohort study of 197 patients 3–5 years after surgery. Acta Orthop. 2013;84:392–397. doi: 10.3109/17453674.2013.799419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Singh JA, Lewallen D. Age, gender, obesity, and depression are associated with patient-related pain and function outcome after revision total hip arthroplasty. Clin Rheumatol. 2009;28:1419–1430. doi: 10.1007/s10067-009-1267-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Singh JA, Lewallen DG. Predictors of activity limitation and dependence on walking aids after primary total hip arthroplasty. J Am Geriatr Soc. 2010;58:2387–2393. doi: 10.1111/j.1532-5415.2010.03182.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Jones CA, Cox V, Jhangri GS, Suarez-Almazor ME. Delineating the impact of obesity and its relationship on recovery after total joint arthroplasties. Osteoarthritis Cartilage. 2012;20:511–518. doi: 10.1016/j.joca.2012.02.637. [DOI] [PubMed] [Google Scholar]
  • 15.Judge A, Batra RN, Thomas GE, Beard D, Javaid MK, Murray DW, et al. Body mass index is not a clinically meaningful predictor of patient reported outcomes of primary hip replacement surgery: prospective cohort study. Osteoarthritis Cartilage. 2014;22:431–439. doi: 10.1016/j.joca.2013.12.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kerkhoffs G, Servien E, Dunn W, Dahm D, Bramer JA, Haverkamp D. The influence of obesity on the complication rate and outcome of total knee arthroplasty. J Bone Joint Surg Am. 2012;94:1839–1844. doi: 10.2106/JBJS.K.00820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Busato A, Roder C, Herren S, Eggli S. Influence of high BMI on functional outcome after total hip arthroplasty. Obes Surg. 2008;18:595–600. doi: 10.1007/s11695-007-9412-8. [DOI] [PubMed] [Google Scholar]
  • 18.Buirs LD, van Beers LW, Scholtes VA, Pastoors T, Sprague S, Poolman RW. Predictors of physical functioning after total hip arthroplasty: a systematic review. BMJ Open. 2016;6:e010725. doi: 10.1136/bmjopen-2015-010725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stevens-Lapsley JE, Petterson SC, Mizner RL, Snyder-Mackler L. Impact of body mass index on functional performance after total knee arthroplasty. J Arthroplasty. 2010;25:1104–1109. doi: 10.1016/j.arth.2009.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Stevens M, Paans N, Wagenmakers R, van Beveren J, van Raay JJ, van der Meer K, et al. The influence of overweight/obesity on patient-perceived physical functioning and health-related quality of life after primary total hip arthroplasty. Obes Surg. 2012;22:523–529. doi: 10.1007/s11695-011-0483-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pua YH, Seah FJ, Seet FJ, Tan JW, Liaw JS, Chong HC. Sex differences and impact of body mass index on the time course of knee range of motion, knee strength, and gait speed after total knee arthroplasty. Arthritis Care Res (Hoboken) 2015;67:1397–1405. doi: 10.1002/acr.22584. [DOI] [PubMed] [Google Scholar]
  • 22.Baker P, Muthumayandi K, Gerrand C, Kleim B, Bettinson K, Deehan D. Influence of body mass index (BMI) on functional improvements at 3 years following total knee replacement: a retrospective cohort study. PLoS One. 2013;8:e590709. doi: 10.1371/journal.pone.0059079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Torres-Claramunt R, Hinarejos P, Leal-Blanquet J, Sánchez-Soler JF, Marí-Molina R, Puig-Verdié L, et al. Does obesity influence on the functional outcomes of a total knee arthroplasty? Obes Surg. 2016;26:2989–2994. doi: 10.1007/s11695-016-2233-x. [DOI] [PubMed] [Google Scholar]
  • 24.Collins RA, Walmsley PJ, Amin AK, Brenkel IJ, Clayton RA. Does obesity influence clinical outcome at nine years following total knee replacement? J Bone Joint Surg Br. 2012;94:1351–1355. doi: 10.1302/0301-620X.94B10.28894. [DOI] [PubMed] [Google Scholar]
  • 25.Amin AK, Patton JT, Cook RE, Brenkel IJ. Does obesity influence the clinical outcome at five years following total knee replacement for osteoarthritis? J Bone Joint Surg Br. 2006;88:335–340. doi: 10.1302/0301-620X.88B3.16488. [DOI] [PubMed] [Google Scholar]
  • 26.Houston DK, Ding J, Nicklas BJ, Harris TB, Lee JS, Nevitt MC, et al. Overweight and obesity over the adult life course and incident mobility limitation in older adults: the Health, Aging and Body Composition Study. Am J Epidemiol. 2009;169:927–936. doi: 10.1093/aje/kwp007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rillamas-Sun E, LaCroix AZ, Waring ME, Kroenke CH, LaMonte MJ, Vitolins MZ, et al. Obesity and late-age survival without major disease or disability in older women. JAMA Intern Med. 2014;174:98–106. doi: 10.1001/jamainternmed.2013.12051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Guallar-Castillón P, Sagardui-Villamor J, Banegas JR, Graciani A, Fornés NS, López García E, et al. Waist circumference as a predictor of disability among older adults. Obesity (Silver Spring) 2007;15:233–244. doi: 10.1038/oby.2007.532. [DOI] [PubMed] [Google Scholar]
  • 29.Pottie P, Presle N, Terlain B, Netter P, Mainard D, Berenbaum F. Obesity and osteoarthritis: more complex than predicted! Ann Rheum Dis. 2006;65:1403–1405. doi: 10.1136/ard.2006.061994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Thorand B, Baumert J, Döring A, Herder C, Kolb H, Rathmann W, et al. Sex differences in the relation of body composition to markers of inflammation. Atherosclerosis. 2006;184:216–224. doi: 10.1016/j.atherosclerosis.2005.04.011. [DOI] [PubMed] [Google Scholar]
  • 31.Penninx BW, Kritchevksy SB, Newman AB, Nicklas BJ, Simonsick EM, Rubin S, et al. Inflammatory markers and incident mobility limitation in the elderly. J Am Geriatr Soc. 2004;52:1105–1113. doi: 10.1111/j.1532-5415.2004.52308.x. [DOI] [PubMed] [Google Scholar]
  • 32.The Women’s Health Initiative Study Group. Design of the Women’s Health Initiative study design. Control Clin Trials. 1998;19:61–109. doi: 10.1016/s0197-2456(97)00078-0. [DOI] [PubMed] [Google Scholar]
  • 33.National Institutes of Health. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. Obes Res. 1998;6:515–2095. [PubMed] [Google Scholar]
  • 34.World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation. http://apps.who.int/iris/bitstream/10665/44583/1/9789241501491_eng.pdf. Accessed February 9, 2017.
  • 35.Burnham MA, Wells KB, Leake B, Landsverk J. Development of a brief screening instrument for detecting depressive disorders. Med Care. 1988;26:775–789. doi: 10.1097/00005650-198808000-00004. [DOI] [PubMed] [Google Scholar]
  • 36.Guralnik JM, LaCroix AZ, Abbott RD, Berkman LF, Satterfield S, Evans DA, et al. Maintaining mobility in late life. I. demographic characteristics and chronic conditions. Am J Epidemiol. 1993;137:845–857. doi: 10.1093/oxfordjournals.aje.a116746. [DOI] [PubMed] [Google Scholar]
  • 37.Kopelman P. Health risks associated with overweight and obesity. Obes Rev. 2007;8(suppl 1):13–17. doi: 10.1111/j.1467-789X.2007.00311.x. [DOI] [PubMed] [Google Scholar]
  • 38.Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36) Med Care. 1992;30:473–483. [PubMed] [Google Scholar]
  • 39.West LA, Cole S, Goodkind D, He W. 65+ in the United States. 2010 Available at https://www.census.gov/content/dam/Census/library/publications/2014/demo/p23-212.pdf. Accessed August 4, 2017.
  • 40.Willcox BJ, He Q, Chen R, Yano K, Masaki K, Grove JS, et al. Midlife risk factors and healthy survival in men. JAMA. 2006;296:2343–2350. doi: 10.1001/jama.296.19.2343. [DOI] [PubMed] [Google Scholar]
  • 41.Jones CA, Voaklander DC, Johnston WC, Suarez-Almazor ME. The effect of age on pain, function, and quality of life after total hip and knee arthroplasty. Arch Intern Med. 2001;161:454–460. doi: 10.1001/archinte.161.3.454. [DOI] [PubMed] [Google Scholar]
  • 42.Nilsdotter AK, Lohmander LS. Age and waiting time as predictors of outcome after total hip replacement for osteoarthritis. Rheumatology. 2002;41:1261–1267. doi: 10.1093/rheumatology/41.11.1261. [DOI] [PubMed] [Google Scholar]
  • 43.Singh JA, Lu X, Rosenthal GE, Ibrahim S, Cram P. Racial disparities in knee and hip total joint arthroplasty: an 18-year analysis of national Medicare data. Ann Rheum Dis. 2014;73:2107–2115. doi: 10.1136/annrheumdis-2013-203494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Clement ND, MacDonald D, Howie CR, Biant LC. The outcome of primary total hip and knee arthroplasty in patients aged 80 years or more. J Bone Joint Surg Br. 2011;93:1265–1270. doi: 10.1302/0301-620X.93B9.25962. [DOI] [PubMed] [Google Scholar]
  • 45.Gandhi R, Wasserstein D, Razak F, Davey JR, Mahomed NN. BMI independently predicts younger age at hip and knee replacement. Obesity (Silver Spring) 2010;18:2362–2366. doi: 10.1038/oby.2010.72. [DOI] [PubMed] [Google Scholar]
  • 46.Hunt LP, Ben-Shlomo Y, Clark EM, Dieppe P, Judge A, MacGregor AJ, et al. 90-day mortality after 409096 total hip replacements for osteoarthritis, from the National Joint Registry for England and Wales: a retrospective analysis. Lancet. 2013;382:1097–1104. doi: 10.1016/S0140-6736(13)61749-3. [DOI] [PubMed] [Google Scholar]
  • 47.Hunt LP, Ben-Shlomo Y, Clark EM, Dieppe P, Judge A, MacGregor AJ, et al. 45-day mortality after 467779 knee replacements for osteoarthritis from the National Joint Registry for England and Wales: an observational study. Lancet. 2014;384:1429–1436. doi: 10.1016/S0140-6736(14)60540-7. [DOI] [PubMed] [Google Scholar]
  • 48.Wallace G, Judge A, Prieto-Alhambra D, de Vries F, Arden NK, Cooper C. The effect of body mass index on the risk of post-operative complications during the 6 months following total hip replacement or total knee replacement surgery. Osteoarthritis Cartilage. 2014;22:918–927. doi: 10.1016/j.joca.2014.04.013. [DOI] [PubMed] [Google Scholar]
  • 49.Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol. 1996;143:228–239. doi: 10.1093/oxfordjournals.aje.a008733. [DOI] [PubMed] [Google Scholar]
  • 50.Turcato E, Bosello O, Di Francesco V, Harris TB, Zoico E, Bissoli L, et al. Waist circumference and abdominal sagittal diameter as surrogates of body fat distribution in the elderly: their relation with cardiovascular risk factors. Int J Obes Relat Metab Disord. 2000;24:1005–1010. doi: 10.1038/sj.ijo.0801352. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supp info

RESOURCES