|
|
|||||||||
|
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: [email protected]. Type 508 Accommodation and the title of the report in the subject line of e-mail. Factors Associated with Prevalent Self-Reported Arthritis and Other Rheumatic Conditions -- United States, 1989-1991Arthritis and other rheumatic conditions are among the most prevalent diseases in the United States, particularly for women and some racial/ethnic groups (1-3). In 1992, arthritis was the leading cause of disability and was associated with total direct and indirect costs of $64.8 billion (4); projections indicate that by 2020, arthritis will affect 59.4 million (18.2%) persons in the United States (1). Previous reports have documented marked differences in the prevalence rates of arthritis by age, sex, race, ethnicity, education, and body mass index (BMI) (1-3). To examine the relative importance of these factors, CDC used data from the 1989-1991 National Health Interview Survey (NHIS) and a multivariate model to estimate the independent effect of each factor on self-reported arthritis. This report summarizes the results of that analysis, which indicate that a higher risk for arthritis is associated with older age, overweight, or obesity and that a lower risk is associated with being Asian/Pacific Islander or Hispanic or with having a higher education level. The NHIS is an annual national probability sample of the U.S. civilian, noninstitutionalized population (5). Estimates of the prevalence of arthritis were based on a one-sixth random sample (n=59,289) of respondents who answered questions about the presence of any musculoskeletal condition during the preceding 12 months and provided details about these conditions. Each condition was assigned a code from the International Classification of Diseases, Ninth Revision (ICD-9). This analysis used the definition of arthritis, which included arthritis and other rheumatic conditions, developed by the National Arthritis Data Workgroup (1) *. The final sample of 41,919 excluded persons aged less than 18 years (n=16,488), for whom self-reported height and weight were not asked, and persons aged greater than or equal to 18 years for whom such data were missing (n=882). Multivariate logistic regression was used to assess the relation between self-reported arthritis and age, race, ethnicity, education, and BMI. Previous studies have documented that each of these variables is associated with arthritis (1-3,6-8). Because stratified analyses suggested that the effect of BMI on arthritis differed by sex, the model was applied separately to men and women. For this analysis, BMI (weight {kg}/height {m}2) was divided into four categories: underweight (BMI less than 20), normal weight (20 less than or equal to BMI less than 25), overweight (25 less than or equal to BMI less than 30), and obese (BMI greater than or equal to 30) (9). SUDAAN was used to weight observations and to account for the complex sampling design. Of the 41,919 persons surveyed, 8706 (21%) reported having arthritis. Older age was the strongest overall predictor for self-reported arthritis (Table_1). Among women, risk for arthritis varied directly with BMI. Among men, the risk was higher among those with greater BMI (odds ratio {OR}=1.3 {95% confidence interval (CI)=1.1-1.4} for overweight, OR=1.7 {95% CI=1.5-2.0} for obese), and those who were underweight (OR=1.4 {95% CI=1.0-1.8}), could cause chronic weight loss (e.g., infections and neoplasms). Risk for arthritis was similar by race for all groups except Asians/Pacific Islanders (OR=0.6 {95% CI=0.4-0.9}), and by ethnicity, was lower among Hispanics. For men, risk was lower for those who were college graduates (OR=0.8 {95% CI=0.7-1.0}) or who attended graduate school (OR=0.7 {95% CI=0.6-0.9}). Models using different BMI categories and models run without proxy-reported observations yielded similar findings. Reported by: Dept of Epidemiology, School of Public Health, Univ of North Carolina, Chapel Hill. K Johnston-Davis, Association of Schools of Public Health, Washington, DC. Div of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, CDC. Editorial NoteEditorial Note: The category of arthritis and other rheumatic conditions comprises several specific diseases associated with a spectrum of etiologies (Table_2). However, the epidemiology of most of these conditions -- including incidence and prevalence estimates -- has notbeen well characterized. In the United States, the most common types of arthritis include osteoarthritis and rheumatoid arthritis. The findings of this analysis indicate that, even when adjusted for other factors, risk for arthritis is higher among persons who are overweight or obese or of older age. In addition, this report documents the low risk for arthritis among Asians/Pacific Islanders and Hispanics and among men with higher education. Although NHIS could not determine whether respondents were overweight or obese before or after the onset of arthritis, previous studies have documented that overweight or obesity are risk factors for osteoarthritis of the knee (6-8). The low risk for arthritis among Asians/Pacific Islanders and Hispanics persisted after adjustment for age, BMI, and education. These race/ethnicity-specific associations may reflect variations in cultural thresholds for reporting arthritis, risk factors (e.g., joint injury, occupations involving knee bending, and low socioeconomic status), or genetic determinants (e.g., rheumatoid arthritis). The finding of increased risk for arthritis among underweight men has not been reported previously and may reflect differences in self-reporting of arthritis, history of previous joint injury, or presence of other severe chronic conditions. The findings in this report are subject to at least two limitations. First, the self-reported information comprising NHIS has not been validated; however, because only 84% of persons reporting arthritis have ever sought care from a physician for evaluation or treatment of this condition, these findings may reflect the prevalence of rheumatic conditions more accurately than estimates based on reviews of clinical databases (1). Second, previous traumatic injury to a joint -- a recognized risk factor for osteoarthritis -- was not included in NHIS; therefore, differences in the occurrence of this risk factor may have accounted for some observed associations. Overweight is a modifiable characteristic that is an important risk factor for knee osteoarthritis (Table_2) and as either a risk factor for or adverse consequence of other types of arthritis. interventions for preventing excess weight gain. In addition, further characteristics of the epidemiology of and risk factors for specific types of arthritis are necessary to further reduce the public health impact of arthritis. References
Table_1 Note: To print large tables and graphs users may have to change their printer settings to landscape and use a small font size. TABLE 1. Factors associated with self-reported arthritis and other rheumatic conditions among persons aged >=18 years in a multivariate model, by sex -- National Health Interview Survey, United States, 1989-1991 * ================================================================================ Men (n=19,534) Women (n=22,385) ------------------------ ----------------------- Factors Odds ratio + (95% CI &) Odds ratio (95% CI) -------------------------------------------------------------------------------- Body Mass Index @ Underweight 1.4 ( 1.0- 1.8) 0.9 ( 0.8- 1.0) Normal weight 1.0 referent 1.0 referent Overweight 1.3 ( 1.1- 1.4) 1.3 ( 1.2- 1.5) Obese 1.7 ( 1.5- 2.0) 1.5 ( 1.3- 1.7) Age Group (yrs) 18-24 1.0 referent 1.0 referent 25-34 2.3 ( 1.6- 3.4) 2.0 ( 1.5- 2.6) 35-44 4.9 ( 3.4- 7.0) 3.4 ( 2.5- 4.7) 45-54 8.1 ( 5.6-11.6) 7.2 ( 5.4- 9.7) 55-64 14.4 (10.2-20.5) 10.6 ( 8.0-14.1) 65-74 16.0 (11.0-23.3) 12.9 ( 9.5-17.5) 75-84 18.5 (12.3-27.9) 16.0 (11.9-21.5) >=85 16.0 ( 8.6-29.5) 12.9 ( 9.0-18.6) Race White 1.0 referent 1.0 referent Black 0.9 ( 0.7- 1.1) 0.9 ( 0.8- 1.1) American Indian/ Alaskan Native 1.6 ( 1.0- 2.6) 1.2 ( 0.7- 2.1) Asian/Pacific Islander 0.6 ( 0.4- 0.9) 0.6 ( 0.4- 1.0) Other 1.0 ( 0.6- 1.6) 1.1 ( 0.7- 1.5) Ethnicity Hispanic 0.6 ( 0.5- 0.8) 0.7 ( 0.5- 0.8) Non-Hispanic 1.0 referent 1.0 referent Education Less than high school 1.1 ( 1.0- 1.4) 1.0 ( 0.9- 1.2) Some high school 1.1 ( 0.9- 1.3) 1.2 ( 1.1- 1.4) High school graduate 1.0 referent 1.0 referent Some college 1.0 ( 0.9- 1.2) 1.1 ( 1.0- 1.2) College graduate 0.8 ( 0.7- 1.0) 0.9 ( 0.7- 1.0) Graduate school 0.7 ( 0.6- 0.9) 0.9 ( 0.8- 1.1) -------------------------------------------------------------------------------- * Race and Hispanic ethnicity (not mutually exclusive terms) are based on the respondent's description of his or her background. Arthritis is defined using the National Arthritis Data Workgroup's definition, which is based on the International Classification of Diseases, Ninth Revision, Clinical Modification, codes 95.6, 95.7, 98.5, 99.3, 136.1, 274, 277.2, 287.0, 344.6, 353.0, 354.0, 355.5, 357.1, 390, 391, 437.4, 433.0, 446, 447.6, 696.0, 710-716, 719.0, 719.2-719.9, 720-721, 725-727, 728.0-728.3, 728.6-728.9, 729.0-729.1, and 729.4. + Logistic regression models run separately for men and women. & Confidence interval. @ Body mass index (BMI)=weight (kg)/height (m)2. Underweight=BMI<20; normal=20<=BMI<25.0; overweight=25<=BMI<30; obese=BMI>=30. ================================================================================ Return to top. Table_2 Note: To print large tables and graphs users may have to change their printer settings to landscape and use a small font size. TABLE 2. Selected types and characteristics of arthritis and other rheumatic conditions * ============================================================================================== Estimated 1985 Type Examples prevalence + Risk factors ---------------------------------------------------------------------------------------------- Degenerative Osteoarthritis 15,800,000 Increasing age, female; joint trauma; repetitive use; overweight & Systemic autoimmune Rheumatoid arthritis 2,100,000 Increasing age, female Systemic lupus 131,000 Female; black erythematosus Seronegative Ankylosing spondylitis 318,000 Male; HLA-B27 gene spondylo- arthropathies Infectious Gonococcal arthritis 30,000 Sexually active Lyme arthritis NA @ Tick bite in endemic area Metabolic/Endocrine Gout 1,000,000 Increasing age; male Rheumatism Bursitis, tendinitis NA Overuse Fibromyalgia NA Adult; female ---------------------------------------------------------------------------------------------- * Excludes other musculoskeletal conditions such as tumors, bone disorders, fractures, and back and neck disorders. + Reference 10. & For knee osteoarthritis only. @ Not available. ============================================================================================== Return to top. Disclaimer All MMWR HTML versions of articles are electronic conversions from ASCII text into HTML. This conversion may have resulted in character translation or format errors in the HTML version. Users should not rely on this HTML document, but are referred to the electronic PDF version and/or the original MMWR paper copy for the official text, figures, and tables. An original paper copy of this issue can be obtained from the Superintendent of Documents, U.S. Government Printing Office (GPO), Washington, DC 20402-9371; telephone: (202) 512-1800. Contact GPO for current prices. **Questions or messages regarding errors in formatting should be addressed to [email protected].Page converted: 09/19/98 |
|||||||||
This page last reviewed 5/2/01
|