Risk factors for functional limitations in patients with long-standing ankylosing spondylitis.код для вставкиСкачать
Arthritis & Rheumatism (Arthritis Care & Research) Vol. 53, No. 5, October 15, 2005, pp 710 –717 DOI 10.1002/art.21444 © 2005, American College of Rheumatology ORIGINAL ARTICLE Risk Factors For Functional Limitations in Patients With Long-Standing Ankylosing Spondylitis MICHAEL M. WARD,1 MICHAEL H. WEISMAN,2 JOHN C. DAVIS, JR,3 AND JOHN D. REVEILLE4 Objective. To identify risk factors for functional limitations in patients with ankylosing spondylitis (AS) of at least 20 years’ duration. Methods. Patients with AS for >20 years were enrolled in the cross-sectional component of the Prospective Study of Outcomes in AS. All patients had clinical evaluations and completed questionnaires on functional limitations and potential risk factors. Functional limitations were assessed using the Bath Ankylosing Spondylitis Functional Index (BASFI; score range 0 –100, higher scores indicate more limitations) and the Health Assessment Questionnaire for the Spondylarthropathies (HAQS). Risk factors included demographic characteristics, duration of AS, smoking status, number of comorbid medical conditions, recalled level of recreational activity in teens and twenties, occupational physical activity throughout life (rated 1 ⴝ little, 2 ⴝ moderate, 3 ⴝ heavy, and weighted by the number of years in each job), and history of AS in a ﬁrst-degree relative. Results. The 326 patients (74% men) had a mean ⴞ SD age of 55.0 ⴞ 10.7 years, a mean duration of AS symptoms of 31.7 ⴞ 10.2 years, and a mean BASFI score of 40.7 ⴞ 25.6. BASFI scores increased with higher lifetime occupational physical activity (r ⴝ 0.31; P < 0.0001), the number of comorbid conditions (r ⴝ 0.25; P < 0.0001), and the duration of AS (r ⴝ 0.12; P ⴝ 0.04). BASFI scores were higher among current smokers compared with former/nonsmokers (55.5 versus 38.9; P ⴝ 0.0002), and among nonwhites compared with whites (49.9 versus 39.3; P ⴝ 0.02). In multivariable analyses, lifetime occupational physical activity, current smoking, education level, number of comorbid conditions, and family history were signiﬁcantly associated with BASFI scores. The same risk factors were associated with the HAQS. Conclusion. Functional limitations in patients with AS for >20 years are greater among those with a history of more physically demanding jobs, more comorbid conditions, and among smokers, and are less severe among those with higher levels of education and a family history of AS. KEY WORDS. Ankylosing spondylitis; Disability; Functional limitations; Work. INTRODUCTION Functional limitations and resultant disability are major consequences of ankylosing spondylitis (AS). The degree Supported in part by US Public Health Service grants AR-48465, AR-46208, M01-RR000079, M01-RR02558, and M01-RR00425, and by the Intramural Research Program, National Institute of Arthritis and Musculoskeletal and Skin Diseases. 1 Michael M. Ward, MD, MPH: National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland; 2Michael H. Weisman, MD: Cedars-Sinai Medical Center, Los Angeles, California; 3John C. Davis, Jr, MD, MPH: University of California-San Francisco, San Francisco; 4John D. Reveille, MD: University of Texas Health Sciences Center, Houston. Address correspondence to Michael M. Ward, MD, MPH, NIH/NIAMS/IRP, Building 10 CRC, Room 4-1339, 10 Center Drive, MSC 1468, Bethesda, MD 20892-1468. E-mail: firstname.lastname@example.org. Submitted for publication December 22, 2004; accepted in revised form April 30, 2005. 710 of functional limitation is an important determinant of health-related quality of life, inﬂuences the likelihood of work disability, and is the major predictor of medical costs in patients with AS (1– 6). Identiﬁcation of risk factors for functional limitations is important because it would enable better understanding of how these limitations develop, would help identify high-risk groups of patients, and may indicate interventions to prevent functional limitations and improve health outcomes. Functional limitations in AS increase with age and with the duration of symptoms (1,7–13). Additional risk factors noted in prior studies included the severity of pain and stiffness, peripheral arthritis, total hip arthroplasty, and smoking (2,7,8,12–17). Results of studies differ on whether functional limitations are more severe among women or men, and on whether the age at onset of AS, familial AS, or unsupervised exercise are associated with functional limitations (6 –10,12–14,18,19). Few studies have examined possible associations with education level or comorbid medical conditions, even though these are important determinants of functional limitations in other rheumatic Functional Limitations in AS diseases (1,8,20 –22). In addition, occupational characteristics have been largely overlooked as potential risk factors, despite strong associations between functional limitations and work disability, and between physically demanding jobs and work disability (3– 8,23,24). A potential reason for discrepant results among prior studies may be heterogeneity in the patients examined. In particular, risk factors for functional limitation may differ with the duration of AS. Functional limitations in early AS may be closely related to symptom severity and factors that modify symptoms, whereas functional limitations in long-standing AS may be more closely related to factors whose effects cumulate over time and that reﬂect spinal fusion and long-term structural damage. In this cross-sectional study, we examined demographic and clinical risk factors for functional limitations in a large group of patients with AS symptoms for ⱖ20 years. PATIENTS AND METHODS Patients. Patients were participants in the cross-sectional component of the Prospective Study of Outcomes in Ankylosing Spondylitis, an observational study whose main aim is to investigate genetic markers of AS severity. Patients were recruited from the clinics of the investigators or local rheumatologists, from patient support and advocacy groups, and from the community by advertisement. A total of 62 participants were drawn from a study of patients with familial AS (25). Enrollment occurred in 2002– 2004. Inclusion criteria were a diagnosis of AS by the modiﬁed New York criteria (26) and duration of AS for ⱖ20 years, dated from the onset of persistent musculoskeletal symptoms. All participants had a clinical evaluation by one of the study rheumatologists, had pelvic and spinal radiographs to conﬁrm their diagnosis, and completed questionnaires about their personal and medical history and functional status. Measures of functional limitation. Two measures of functional limitation were used: the Bath Ankylosing Spondylitis Functional Index (BASFI) and the Health Assessment Questionnaire modiﬁed for the Spondylarthropathies (HAQS) (27,28). The BASFI is a 10-item scale that asks respondents to rate the degree of difﬁculty they have performing tasks, using visual analog scales labeled from 0 (easy) to 100 (impossible). The BASFI score is calculated as the mean of the 10 responses. It has been demonstrated to have good reliability and construct validity (2,11,14,27,29 –31). The HAQS is a 25-item scale that asks respondents to rate the degree of difﬁculty they have performing tasks in 10 functional areas (dressing, arising, eating, walking, hygiene, reach, grip, errands and chores, bending, and driving). Responses to each question can range from 0 (no difﬁculty) to 3 (unable to do), and the HAQS score is the average of the highest score in each of the 10 function categories. The HAQS has also been demonstrated to have good reliability and validity (11,28,32). Risk factors. The risk factors considered for association with functional limitations were patient age, sex, ethnicity 711 (white versus other), education level, smoking status (current, former, or nonsmoker), pack-years of smoking, and number of comorbid medical conditions (by patient self report). In addition, we examined associations with the duration of AS, age at onset of AS, history of AS in a ﬁrst-degree relative (by patient report), and history of iritis (by patient report). We also asked participants to report their level of recreational physical activity in their teens and twenties, relative to their same-sex peers (1 ⫽ less than peers, 2 ⫽ same as peers, 3 ⫽ more than peers). Because previous studies demonstrated associations between functional limitations in AS and occupational physical activity (7), we also computed an occupational physical activity score for each patient. Each patient was asked to report each paid job they had in their lifetime, and to rate the level of physical activity in each job (1 ⫽ little, 2 ⫽ moderate, 3 ⫽ heavy) (5). The occupational physical activity score was then computed as the mean of these ratings, weighted by the number of years spent in each job (possible range 1–3). For example, the occupational physical activity score of a patient who reported working as a carpenter with heavy activity for 10 years, and then as a supervisor with moderate activity for 15 years would be calculated by the equation [(10 ⫻ 3) ⫹ (15 ⫻ 2)]/25 ⫽ 2.4. An alternative occupational physical activity score was also calculated, using the activity ratings for each job assigned by the US Department of Labor in the Dictionary of Occupational Titles (1 ⫽ sedentary, 2 ⫽ light, 3 ⫽ medium, 4 ⫽ heavy, 5 ⫽ very heavy) (33), and also weighted by the number of years in each job (possible range 1–5). The correlation between the 2 occupational physical activity scores was moderately high (r ⫽ 0.45; P ⬍ 0.0001). Statistical analysis. Associations between potential risk factors and the BASFI were tested using t tests (for categorical variables) or Pearson’s correlations (for continuous variables). Because values of the HAQS were not normally distributed, nonparametric rank sum tests and Spearman’s correlations were used to test associations with this measure. Multivariable linear regression models were developed to examine the independent association of risk factors with the BASFI or HAQS. A square-root transformation of the HAQS was used as the dependent variable in the regression model for this measure, to make the distribution of this variable more normal (Shapiro-Wilk W ⫽ 0.985; skewness ⫽ ⫺0.04). To determine if risk factors for functional limitations differed between men and women, sex-speciﬁc models were also developed. All hypotheses were 2-tailed, and P values less than 0.05 were considered signiﬁcant. Analyses were performed using SAS version 8.2 programs (SAS Institute, Cary, NC). RESULTS The study included 326 patients, with a mean ⫾ SD age of 55.0 ⫾ 10.7 years and a mean duration of AS symptoms of 31.7 ⫾ 10.2 years (Table 1). The patients were mainly white and well educated, and women comprised 26% of the group. The most common comorbid conditions were hypertension (35.6%), peptic ulcer disease (19.3%), de- 712 Ward et al Table 1. Characteristics of the study patients (N ⴝ 326)* Age, mean ⫾ SD years Male Race/Ethnicity White African American Asian/Paciﬁc Islander Native American Hispanic Other Employment status Employed Retired Professional occupation Education level, mean ⫾ SD years Lifetime occupational physical activity score, mean ⫾ SD (range 1–3) Recreational activity in teens and twenties, mean ⫾ SD (range 1–3) Smoking status Nonsmoker Former smoker Current smoker Number of comorbid conditions None 1 2 3 ⱖ4 Inﬂammatory bowel disease History of iritis Duration of AS, mean ⫾ SD years Age at onset, mean ⫾ SD years History of AS in a ﬁrst-degree relative BASFI score, mean ⫾ SD HAQS score, mean ⫾ SD 55.0 ⫾ 10.7 241 (73.9) 284 (87.1) 12 (3.7) 7 (2.1) 4 (1.2) 17 (5.2) 2 (0.6) 189 (58.0) 70 (21.5) 212 (68.0) 15.9 ⫾ 3.0 1.8 ⫾ 0.7 2.1 ⫾ 0.6 145 (44.5) 146 (44.8) 35 (10.7) association was present when measured both by the patients’ subjective ratings of job activity and by the standard ratings of the Dictionary of Occupational Titles. Scores for the BASFI and HAQS were similar in men and women, in patients with and those without a family history of AS, and in those with and those without a history of iritis (Table 3). However, among men, patients with a family history of AS tended to have lower BASFI scores than those without a family history (30.3 versus 38.2; P ⫽ 0.11). Nonwhites had more functional limitations than whites, and current smokers had much higher scores on the BASFI and HAQS than nonsmokers or former smokers. Scores were comparable among nonsmokers and former smokers (mean BASFI 36.9 and 40.8, respectively; median HAQS 0.6 and 0.6, respectively). Among current and former smokers, there was no association between BASFI or HAQS scores and the number of pack-years of smoking (BASFI r ⫽ 0.12, P ⫽ 0.12; HAQS r ⫽ 0.09; P ⫽ 0.24). Multivariable analysis. Based on the results of the univariable analyses, age, ethnicity, education level, number of comorbid conditions, smoking status, lifetime occupa- 33 (10.1) 71 (21.8) 84 (25.8) 50 (15.3) 88 (27.0) 10 (3.1) 134 (41.1) 31.7 ⫾ 10.2 23.2 ⫾ 7.5 101 (31.0) 40.7 ⫾ 25.6 0.8 ⫾ 0.6 * Values are the number (percentage) unless otherwise indicated. AS ⫽ ankylosing spondylitis; BASFI ⫽ Bath Ankylosing Spondylitis Functional Index; HAQS ⫽ Health Assessment Questionnaire modiﬁed for the Spondylarthropathies. pression (16%), osteoporosis (12.6%), and asthma (10.1%). BASFI scores were distributed over a broad range, with 75% of scores falling between 20 and 61 (Figure 1). HAQS scores were generally low, with a median of 0.7, and positively skewed. In univariable analyses, scores for both the BASFI and HAQS increased with older age, longer duration of AS, and the number of comorbid conditions (Table 2). The BASFI and HAQS scores were lower among patients with higher levels of education, but scores were not associated with either the age at onset of AS or with recalled levels of recreational physical activity in young adulthood. However, both the BASFI and HAQS were strongly associated with lifetime occupational physical activity scores. Patients who had more physically demanding jobs throughout their lifetimes had more functional limitations. This Figure 1. Distribution of scores of the A, Bath Ankylosing Spondylitis Functional Index (BASFI) and B, Health Assessment Questionnaire for the Spondylarthropathies (HAQS). Functional Limitations in AS 713 Table 2. Correlations of the Bath Ankylosing Spondylitis Functional Index (BASFI) scores and Health Assessment Questionnaire for the Spondylarthropathies (HAQS) scores with continuous risk factors* BASFI HAQS Risk factor r P r P Age Duration of AS Age at onset Education level Number of comorbid conditions Recreational activity in teens and twenties Lifetime occupational physical activity score Lifetime DOT occupational physical activity score 0.11 0.12 ⫺0.01 ⫺0.24 0.25 ⫺0.03 0.31 0.19 0.05 0.04 0.96 ⬍ 0.0001 ⬍ 0.0001 0.61 ⬍ 0.0001 0.0007 0.06 0.06 ⫺0.01 ⫺0.29 0.21 ⫺0.01 0.32 0.16 0.24 0.23 0.97 ⬍ 0.0001 0.0001 0.99 ⬍ 0.0001 0.004 * Pearson correlations for BASFI; Spearman correlations for HAQS. Positive correlations indicate greater functional limitation on the BASFI and HAQS with higher levels of the risk factor, and negative correlations indicate less functional limitation with higher levels of the risk factor. AS ⫽ ankylosing spondylitis; DOT ⫽ Dictionary of Occupational Titles. lower in patients with a family history of AS. Also, the BASFI score increased by 8.9 points with each additional point in the lifetime occupational physical activity score, meaning that patients whose past jobs all involved moderate physical activity had BASFI scores that were on average 8.9 points higher than those whose past jobs all involved little physical activity. Similarly, patients whose past jobs all involved heavy physical activity had BASFI scores that were on average 8.9 points higher than those whose past jobs all involved moderate activity. When the job activity ratings of the Dictionary of Occupational Titles (33) were used in place of patients’ own ratings, BASFI scores were also signiﬁcantly associated with occupational physical activity, increasing on average by 3.5 points with each grade in the 5-grade scale (P ⫽ 0.05). There was no evidence of a threshold effect for occupational physical activity or the number of comorbid medical conditions. There were no associations with age, sex, or ethnicity in the multivariate analysis. Results for the HAQS were similar to those for the BASFI, with signiﬁcant associations with education level, the number of comorbid conditions, smoking status, fam- tional physical activity score, and family history of AS were considered as potential risk factors in the multivariable models. Sex was also included because it was a potential confounder of the association between functional limitations and age and occupational physical activity. Age and duration of AS were highly correlated (r ⫽ 0.70) and could not be included simultaneously in the models because of collinearity. Age was used in the primary analysis rather than duration of AS because age was more highly correlated with education level (r ⫽ 0.12, P ⫽ 0.03) than was duration of AS (r ⫽ 0.07, P ⫽ 0.21), and thus provided better adjustment for the association of education level with functional limitation scores. In the multivariate analysis, BASFI scores were signiﬁcantly associated with education level, the number of comorbid medical conditions, smoking status, lifetime occupational physical activity, and family history of AS (Table 4). On average, the BASFI score decreased by 1.1 points (out of 100) with each additional year of education, increased by 3.1 points with each additional comorbid condition, was 11.8 points higher among current smokers than among nonsmokers or former smokers, and was 6.7 points Table 3. Associations of the Bath Ankylosing Spondylitis Functional Index (BASFI) scores and Health Assessment Questionnaire for the Spondylarthropathies (HAQS) scores with categorical risk factors* BASFI HAQS Risk factor Mean ⴞ SD P Median (IQR) P Men Women White Nonwhite Family history of AS No family history of AS History of iritis No history of iritis Current smoker Nonsmoker or former smoker 40.5 ⫾ 25.5 41.0 ⫾ 25.8 39.3 ⫾ 24.6 49.9 ⫾ 30.0 38.0 ⫾ 24.6 41.8 ⫾ 26.0 38.0 ⫾ 24.2 42.5 ⫾ 26.4 55.5 ⫾ 27.4 38.9 ⫾ 24.8 0.89 0.6 (0.3–1.1) 0.7 (0.4–1.4) 0.6 (0.3–1.2) 0.9 (0.5–1.5) 0.6 (0.3–1.1) 0.7 (0.1–1.2) 0.6 (0.3–1.1) 0.7 (0.3–1.25) 1.1 (0.7–1.4) 0.6 (0.3–1.1) 0.19 * IQR ⫽ interquartile range; AS ⫽ ankylosing spondylitis. 0.02 0.22 0.13 0.0002 0.01 0.25 0.15 ⬍ 0.0001 714 Ward et al Table 4. Multivariable regression analyses of risk factors associated with the Bath Ankylosing Spondylitis Functional Index (BASFI) scores and Health Assessment Questionnaire for the Spondylarthropathies (HAQS) scores, using age as the measure of time* BASFI HAQS Risk factor ␤ t P ␤ t P Age, years Male White Education level, years Number of comorbid conditions Current smoker Lifetime occupational physical activity score Family history of AS 0.1 ⫺0.6 ⫺5.6 ⫺1.1 3.1 11.8 8.9 ⫺6.7 0.87 ⫺0.2 ⫺1.38 ⫺2.42 4.45 2.77 4.42 ⫺2.38 0.39 0.85 0.17 0.02 ⬍ 0.0001 0.006 ⬍ 0.0001 0.02 0.002 ⫺0.6 ⫺0.07 ⫺0.02 0.04 0.18 0.12 ⫺0.08 1.18 ⫺1.34 ⫺1.24 ⫺3.29 3.82 2.85 3.93 ⫺1.95 0.25 0.19 0.22 0.002 0.0002 0.005 0.0001 0.06 * All independent variables were included simultaneously in the models. The dependent variable in the HAQS model was the square root of the HAQS. AS ⫽ ankylosing spondylitis. ily history, and occupational physical activity (Table 4). Results were also similar when duration of AS was used instead of age as the measure of time (Table 5). 0.17) or a parent with AS (2.9 points lower versus men without a family history, P ⫽ 0.62). Sex-speciﬁc analyses. Because risk factors for functional limitations may differ between men and women, we also performed analyses stratiﬁed by sex (Table 6). BASFI scores were associated with smoking status, the number of comorbid conditions, and lifetime occupational physical activity in both men and women. P values for these associations were higher among women, and were likely due to the smaller number of women in the study. The association with education level was also similar in both sexes. However, a family history of AS was more strongly associated with lower BASFI scores in men than in women. White ethnicity was marginally associated with lower BASFI scores only among men. Sex-speciﬁc analyses of the HAQS demonstrated similar results (data not shown). To explore further the association of BASFI scores with a family history of AS among men, we categorized patients by the type of relative affected. In adjusted analyses, BASFI scores were lower among men with a child affected with AS (10.7 points lower versus men without a family history, P ⫽ 0.20) than among those with a sibling with AS (5.5 points lower versus men without a family history, P ⫽ DISCUSSION In this study, occupational physical activity, smoking status, comorbidity, level of formal education, and family history of AS were important predictors of the degree of functional limitation in patients with long-standing AS. Because the sample was limited to patients with AS duration of at least 20 years, these factors may be more closely associated with functional limitations due to spinal fusion or permanent structural damage, and less associated with limitations due to inﬂammatory symptoms. The restricted nature of the sample was also likely to be the reason that the association of age and duration of AS with functional limitations was less pronounced in this study compared with other studies, which included patients with AS of any duration (1,8 –10). In this sample, we did not ﬁnd the degree of functional limitation to be associated with age at onset of AS, sex, ethnicity, history of iritis, or recreational activity in young adulthood. Occupational physical activity, assessed over the patient’s working life, was strongly associated with func- Table 5. Multivariable regression analyses of risk factors associated with the Bath Ankylosing Spondylitis Functional Index (BASFI) scores and Health Assessment Questionnaire for the Spondylarthropathies (HAQS) scores, using duration of AS as the measure of time* BASFI HAQS Risk factor ␤ t P ␤ t P Duration of AS, years Male White Education level, years Number of comorbid conditions Current smoker Lifetime occupational physical activity score Family history of AS 0.2 ⫺0.4 ⫺5.6 ⫺1.1 3.0 12.1 9.0 ⫺6.9 1.23 ⫺0.1 ⫺1.39 ⫺2.36 4.47 2.82 4.46 ⫺2.44 0.22 0.89 0.17 0.02 ⬍ 0.0001 0.005 ⬍ 0.0001 0.02 0.001 ⫺0.05 ⫺0.07 ⫺0.02 0.04 0.17 0.12 ⫺0.08 0.61 ⫺1.20 ⫺1.14 ⫺3.24 4.12 2.80 3.97 ⫺2.02 0.55 0.23 0.26 0.002 ⬍ 0.0001 0.006 ⬍ 0.0001 0.05 * All independent variables were included simultaneously in the models. The dependent variable in the HAQS model was the square root of the HAQS. AS ⫽ ankylosing spondylitis. Functional Limitations in AS 715 Table 6. Multivariable regression analyses of risk factors associated with the Bath Ankylosing Spondylitis Functional Index (BASFI) scores in men and women* Men Women Risk factor ␤ t P ␤ t P Age, years White Education level, years Number of comorbid conditions Current smoker Lifetime occupational physical activity score Family history of AS 0.1 ⫺8.6 ⫺0.9 2.9 10.8 9.0 ⫺8.5 0.61 ⫺1.76 ⫺1.70 3.51 2.22 3.79 ⫺2.48 0.54 0.08 0.09 0.0005 0.03 0.0002 0.02 0.2 ⫺0.8 ⫺1.7 3.8 14.4 8.6 ⫺3.6 0.66 ⫺0.1 ⫺1.65 2.81 1.56 2.19 ⫺0.7 0.51 0.92 0.11 0.007 0.13 0.04 0.50 * All independent variables were included simultaneously in the models. AS ⫽ ankylosing spondylitis. tional limitations. In this sample, scores on the BASFI were estimated to be, on average, ⬃18 points higher in patients who had always worked in physically demanding jobs, compared with those who worked in sedentary jobs. When computed using the standard job activity ratings of the Dictionary of Occupational Titles, BASFI scores were estimated to be 14 points higher in patients who consistently worked in jobs involving heavy labor, compared with those with sedentary jobs. Although the nature of work differs between men and women, similar associations were found in both sexes. These associations were present in analyses that adjusted for the level of formal education, suggesting that the association between occupational activity and functional limitation was not likely due to confounding by socioeconomic status. However, we cannot be certain that residual confounding by socioeconomic status was not present. Patients with severe functional limitations may have overestimated the physical demands of their past jobs, resulting in information bias, but the results were similar when standard ratings of occupational activity from the Dictionary of Occupational Titles were used. It is important to note that the association here was between a cumulative measure of occupational activity and functional limitations, which by the restricted nature of the sample would also be more likely to represent cumulative effects. In early AS, this association would not be expected, because physically demanding jobs would more likely be held by individuals with few or no functional limitations. Studies of groups of patients that are heterogeneous in the duration or stage of AS may mask such associations. Working at physically demanding jobs may affect longterm functional ability by stressing joints in the axial skeleton, thereby perpetuating inﬂammation. Alternatively, persons with physically demanding jobs may be less likely to perform therapeutic or recreational exercises, which then could lead to greater functional limitations in the future (34). Both of these factors may contribute to functional limitations. In previous studies, occupational activity was characterized globally as manual or sedentary, and it was not considered that physical activity can vary greatly within these categories, or that individuals change jobs, often moving into less physically demanding positions with time (7,14). The more detailed characterization of occupational physical activity in this study may have permitted better detection of associations between work activity and functional limitations. The association of occupational physical activity with functional limitations provides a mechanistic link between work demands, functional limitations, and work disability (3– 8,23,24,35). Current smokers also had much more functional limitation than nonsmokers or former smokers. Smoking status has rarely been examined as a risk factor for functional limitation in AS, but smoking has been associated with more rapid progression of functional disability and with higher levels of functional limitations in prior studies of this risk factor (13,14,17). In the study by Doran and colleagues, current and former smokers were examined together, and it was not clear if most or all of the association was due to current smokers (14). In our study, former smokers had levels of functional limitation similar to that of nonsmokers, and only current smokers had increased functional limitation. This ﬁnding, along with the absence of an association between pack-years of smoking and functional limitations, suggests that the primary association may not be a direct effect of smoking on functional ability. Rather, smoking may be a marker of poor health behaviors, including perhaps lack of exercise, that contribute to functional limitations. Two previous studies reported that patients with familial AS have similar degrees of functional impairment as patients with sporadic AS, but a third study reported less severe functional limitations in patients with familial AS (12,14,19). Less severe disease in those with familial AS may be a consequence of genetic effects, but may also result from earlier diagnosis and better treatment, more knowledge, or more support regarding AS in affected families. Alternatively, mildly affected individuals in families with AS may be more likely to be diagnosed than mildly affected individuals without a family history of AS, in whom low back pain and stiffness may be attributed to other conditions. Similar selection factors may also inﬂuence which patients elect to participate in research studies, and it may not be possible to know if familial AS inﬂuences severity without a population-based study. However, our ﬁnding that the protective association of family history was more pronounced among fathers of children with AS than among brothers or sons of persons with AS suggests that earlier diagnosis, education, or so- 716 cial support may not be the mechanism underlying this association. The strengths of this study include the large, well-characterized sample; examination of a number of risk factors; and replication of the ﬁndings using 2 different measures of functional limitation. The focus on patients with longstanding AS may have permitted better identiﬁcation of risk factors associated with irreversible changes and structural damage. However, the study was cross-sectional, and causal inferences cannot be drawn. Despite the cross-sectional design, all risk factors were either invariant (e.g., ethnicity) or historical (e.g., lifetime occupational physical activity, education level, comorbid conditions), which preserved the correct temporal relationship between the risk factors and the outcome. Information on familial AS was collected by patient report, and diagnoses in family members were not veriﬁed for all patients. We did not collect information on symptoms or peripheral arthritis, and we cannot determine how much of the variation in functional limitations in these patients may have been associated with differences in AS activity. We also did not examine associations with treatment or past medication use, but few patients had extensive treatment with anti– tumor necrosis factor ␣ medications. The measures of functional limitations we used have good reliability and validity, but the HAQS has previously been demonstrated to have a ﬂoor effect (36). This may limit detection of mild functional limitations but would not be expected to limit detection of more severe impairment. Lastly, the patients represented a volunteer sample, and ﬁndings may have been different had a community-based or populationbased sample been examined. Our ﬁndings indicate that studies of long-term functional outcomes in AS should include assessment of the patient’s level of education, comorbid conditions, smoking history, family history, and occupational history. Identiﬁcation of the speciﬁc work activities and the speciﬁc behaviors related to smoking that are associated with functional limitations in AS will provide guidance for recommendations that may improve long-term functional outcomes for patients. Ward et al 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. ACKNOWLEDGMENTS The authors would like to thank Cheryl Kallmann, Lori Guthrie, Erin Skrok, Stephanie Morgan, and Laura Diekman for their assistance. 20. 21. 22. REFERENCES 1. Ward MM. Health-related quality of life in ankylosing spondylitis: a survey of 175 patients. Arthritis Care Res 1999; 12:247–55. 2. Ariza-Ariza R, Hernandez-Cruz B, Navarro-Sarabia F. Physical function and health-related quality of life of Spanish patients with ankylosing spondylitis. Arthritis Rheum 2003;49: 483–7. 3. Boonen A, de Vet H, van der Heijde D, van der Linden S. Work status and its determinants among patients with ankylosing spondylitis: a systematic literature review. J Rheumatol 2001; 28:1056 – 62. 4. Barlow JH, Wright CC, Williams B, Keat A. Work disability 23. 24. 25. 26. among people with ankylosing spondylitis. Arthritis Rheum 2001;45:424 –9. Ward MM, Kuzis S. Risk factors for work disability in patients with ankylosing spondylitis. J Rheumatol 2001;28:315–21. Ward MM. Functional disability predicts total costs in patients with ankylosing spondylitis. Arthritis Rheum 2002;46: 223–31. Guillemin F, Briancon S, Pourel J, Gaucher A. Long-term disability and prolonged sick leaves as outcome measurements in ankylosing spondylitis: possible predictive factors. Arthritis Rheum 1990;33:1001– 6. Gran JT, Skomsvoll JF. The outcome of ankylosing spondylitis: a study of 100 patients. Br J Rheumatol 1997;36: 766 –71. Taylor AL, Balakrishnan C, Calin A. Reference centile charts for measures of disease activity, functional impairment, and metrology in ankylosing spondylitis. Arthritis Rheum 1998; 41:1119 –25. Zink A, Braun J, Listing J, Wollenhaupt J, and the German Collaborative Arthritis Centers. Disability and handicap in rheumatoid arthritis and ankylosing spondylitis: results from the German rheumatological database. J Rheumatol 2000;27: 613–22. Falkenbach A, Franke A, van Tubergen A, van der Linden S. Assessment of functional ability in younger and older patients with ankylosing spondylitis: performance of the Bath Ankylosing Spondylitis Functional Index. Am J Phys Med Rehabil 2002;81:416 –20. Falkenbach A, Franke A, van der Linden S. Factors associated with body function and disability in patients with ankylosing spondylitis: a cross-sectional study. J Rheumatol 2003;30: 2186 –92. Ward MM. Predictors of the progression of functional disability in patients with ankylosing spondylitis. J Rheumatol 2002; 29:1420 –5. Doran MF, Brophy S, MacKay K, Taylor G, Calin A. Predictors of longterm outcome in ankylosing spondylitis. J Rheumatol 2003;30:316 –20. Wordsworth BP, Mowat AG. A review of 100 patients with ankylosing spondylitis with particular reference to socio-economic effects. Br J Rheumatol 1986;25:175– 80. Bakker C, van der Linden S, van Santen-Hoeufft M, Bolwijn P, Hidding A. Problem elicitation to assesss patient priorities in ankylosing spondylitis and ﬁbromyalgia. J Rheumatol 1995; 22:1304 –10. Averns HL, Oxtoby J, Taylor HG, Jones PW, Dziedzic K, Dawes PT. Smoking and outcome in ankylosing spondylitis. Scand J Rheumatol 1996;25:138 – 42. Calin A, Elswood J, Rigg S, Skevington SM. Ankylosing spondylitis: an analytical review of 1500 patients: the changing pattern of disease. J Rheumatol 1988;15:1234 – 8. Calin A, Kennedy LG, Edmunds L, Will R. Familial versus sporadic ankylosing spondylitis: two different diseases? Arthritis Rheum 1993;36:676 – 81. Fried LP, Guralnik JM. Disability in older adults: evidence regarding signiﬁcance, etiology, and risk. J Am Geriatr Soc 1997;45:92–100. Gabriel SE. The epidemiology of rheumatoid arthritis. Rheum Dis Clin North Am 2001;27:269 – 81. Mikuls TR, Saag KG. Comorbidity in rheumatoid arthritis. Rheum Dis Clin North Am 2001;27:283–303. Boonen A, van der Heijde D, Landewe R, Guillemin F, Spoorenberg A, Schouten H, et al. Costs of ankylosing spondylitis in three European countries: the patient’s perspective. Ann Rheum Dis 2003;62:741–7. Chorus AM, Boonen A, Miedema HS, van der Linden S. Employment perspectives of patients with ankylosing spondylitis. Ann Rheum Dis 2002;61:693–9. Zhang G, Luo J, Bruckel J, Weisman MA, Schumacher HR, Khan MA, et al. Genetic studies in familial ankylosing spondylitis susceptibility. Arthritis Rheum 2004;50:2246 –54. Goie The HS, Steven MM, van der Linden SM, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis: a comparison of the Rome, New York and modiﬁed New York Functional Limitations in AS 27. 28. 29. 30. 31. criteria in patients with a positive clinical history screening test for ankylosing spondylitis. Br J Rheumatol 1985;24: 242–9. Calin A, Garrett S, Whitelock H, Kennedy LG, O’Hea J, Mallorie P, et al. A new approach to deﬁning functional ability in ankylosing spondylitis: the development of the Bath Ankylosing Spondylitis Functional Index. J Rheumatol 1994;21: 2281–5. Daltroy LH, Larson MG, Roberts NW, Liang MH. A modiﬁcation of the Health Assessment Questionnaire for the spondyloarthropathies [published erratum appears in J Rheumatol 1991;18:305]. J Rheumatol 1990;17:946 –50. Spoorenberg A, van der Heijde D, de Klerk E, Dougados M, de Vlam K, Mielants H, et al. A comparative study of the usefulness of the Bath Ankylosing Spondylitis Functional Index and the Dougados Functional Index in the assessment of ankylosing spondylitis. J Rheumatol 1999;26:961–5. Gorman JD, Sack KE, Davis JC Jr. Treatment of ankylosing spondylitis by inhibition of tumor necrosis factor alpha. N Engl J Med 2002;346:1349 –56. Braun J, Brandt J, Listing J, Zink A, Alten R, Golder W, et al. 717 32. 33. 34. 35. 36. Treatment of active ankylosing spondylitis with inﬂiximab: a randomised controlled multicentre trial. Lancet 2002;359: 1187–93. Ward MM, Kuzis S. Validity and sensitivity to change of spondylitis-speciﬁc measures of functional disability. J Rheumatol 1999;26:121–7. US Department of Labor. Selected characteristics of occupations deﬁned in the Dictionary of Occupational Titles, 1981: supplement to the US Department of Labor Dictionary of Occupational Titles. Washington (DC): US Department of Labor; 1977. Uhrin Z, Kuzis S, Ward MM. Exercise and changes in health status in patients with ankylosing spondylitis. Arch Intern Med 2000;160:2969 –75. Boonen A, Chorus A, Miedema H, van der Heijde D, Landewe R, Schouten H, et al. Withdrawal from labour force due to work disability in patients with ankylosing spondylitis. Ann Rheum Dis 2001;60:1033–9. Haywood KL, Garrett AM, Dawes PT. Patient-assessed health in ankylosing spondylitis: a structured review. Rheumatology (Oxford) 2005;44:577– 86.