Association between tendency towards depression and severity of rheumatoid arthritis from a national representative sample: The medical expenditure panel survey

Current Medical Research and Opinion

Volumn 26, Issue 7, 2010, Pages 1685-1690

  Godha, Deepali ^a   Shi, Lizheng ^a,b   Mavronicolas, Heather ^a  

^a TULANE UNIVERSITY   (United States)

^b TULANE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

ACR; Depression; MEPS; Rheumatoid arthritis

Indexed keywords

ADULT; AGED; ARTICLE; COMORBIDITY; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DEPENDENT VARIABLE; DEPRESSION; DISEASE ASSOCIATION; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; FUNCTIONAL STATUS; HEALTH SURVEY; HUMAN; INDEPENDENT VARIABLE; INTERNATIONAL CLASSIFICATION OF DISEASES; MAJOR CLINICAL STUDY; MALE; MEDICAL EXPENDITURE PANEL SURVEY; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PATIENT HEALTH QUESTIONNAIRE 2; PHYSICAL ACTIVITY; QUESTIONNAIRE; RETROSPECTIVE STUDY; RHEUMATOID ARTHRITIS; ADOLESCENT; ARTHRITIS, RHEUMATOID; CLASSIFICATION; COMPLICATION; ECONOMICS; HEALTH CARE COST; INFORMATION PROCESSING; META ANALYSIS; MIDDLE AGED; RISK FACTOR; SEVERITY OF ILLNESS INDEX; TRENDS; UNITED STATES; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ARTHRITIS, RHEUMATOID; COMORBIDITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); CROSS-SECTIONAL STUDIES; DATA COLLECTION; DEPRESSION; FEMALE; HEALTH EXPENDITURES; HUMANS; MALE; MIDDLE AGED; RETROSPECTIVE STUDIES; RISK FACTORS; SEVERITY OF ILLNESS INDEX; UNITED STATES; YOUNG ADULT;

EID: 77953589400     PISSN: 03007995     EISSN: 14734877     Source Type: Journal    
DOI: 10.1185/03007991003795808     Document Type: Article

References (26)

1. Kvien TK. Epidemiology and burden of illness of rheumatoid arthritis. Pharmacoeconomics 2004;22:1-12
2. Helmick CG, Felson DT, Lawrence RC, et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part I. Arthritis Rheum 2008;58:15-25
3. Centers for Disease Control and Prevention (CDC). Rheumatoid arthritis. Available at: http://www.cdc.gov/arthritis/basics/rheumatoid.htm [last accessed 4 March 2010]
4. Dickens C, McGowan L, Clark-Carter D, et al. Depression in rheumatoid arthritis: a systematic review of the literature with meta-analysis. Psychosom Med 2002;64:52-60
5. Bruce TO. Comorbid depression in rheumatoid arthritis: pathophysiology and clinical implications. Curr Psychiatry Rep 2008;10:258-264
6. Ozcetin A, Ataoglu S, Kocer E, et al. Effects of depression and anxiety on quality of life of patients with rheumatoid arthritis, knee osteoarthritis and fibromyalgia syndrome. West Indian Med J 2007;56:122-129
7. Covic T, Tyson G, Spencer D, et al. Depression in rheumatoid arthritis patients: demographic, clinical, and psychological predictors. J Psychosom Res 2006;60:469-476
8. Odegard S, Finset A, Mowinckel P, et al. Pain and psychological health status over a 10-year period in patients with recent onset rheumatoid arthritis. Ann Rheum Dis 2007;66:1195-1201
9. Michaud K, Wolfe F. Comorbidities in rheumatoid arthritis. Best Pract Res Clin Rheumatol 2007;21:885-906
10. Garcia-Poma A, Segami MI, Mora CS, et al. Obesity is independently associated with impaired quality of life in patients with rheumatoid arthritis. Clin Rheumatol 2007;26:1831-1835
11. Costenbader KH, Feskanich D, Mandl LA, et al. Smoking intensity, duration, and cessation, and the risk of rheumatoid arthritis in women. Am J Med 2006;119:503.e1-9
12. Jacobi CE, Mol GD, Boshuizen HC, et al. Impact of socioeconomic status on the course of rheumatoid arthritis and on related use of health care services. Arthritis Rheum 2003;49:567-573
13. Hochberg MC, Chang RW, Dwosh I, et al. The American College of Rheumatology 1991 revised criteria for the classification of global functional status in rheumatoid arthritis. Arthritis Rheum 1992;35:498-502
14. Shih M, Hootman JM, Strine TW, et al. Serious psychological distress in U.S. adults with arthritis. J Gen Intern Med 2006;21:1160-1166
15. MEPS-HC Sample Design and Collection Process. Agency for Healthcare Research and Quality, Rockville, Md. Available at: http://www.meps.ahrq.-gov/ survey-comp/hc-data-collection.jsp [Last accessed 2 February 2009]
16. Machlin S, Yu W, Zodet M. Computing Standard Errors for MEPS Estimates. January 2005. Agency for Healthcare Research and Quality, Rockville, Md. Available at: http://www.meps.ahrq.gov/survey-comp/standard-errors.jsp [Last accessed 10 February 2009]
17. McCormick MC, Kass B, Elixhauser A, et al. Annual report on access to and utilization of health care for children and youth in the United States-1999. Pediatrics 2000;105:219-230
18. Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care 2003;41:1284-1292
19. Belialov FI. Psychosomatic associations in internal diseases. Part II. Klin Med 2007;85:20-23
20. D'Hoore W, Sicotte C, Tilquin C. Risk adjustment in outcome assessment: the Charlson comorbidity index. Methods Inf Med 1993;32:382-387
21. Rao J.N.K., Thomas D.R. Analysis of Categorical Response Data from Complex Surveys: An Appraisal and Update. In: Analysis of Survey Data Chambers R.L., Skinner C. J., editors. England: John Wiley & Sons, Ltd; 2003. p. 85
22. Hosmer D, Stanley L. Applied Logistic Regression, 2nd Edn. New York: John Wiley & Sons, Inc., 2000
23. Liang J, Shaw BA, Krause N, et al. How does self-assessed health change with age? A study of older adults in Japan. J Gerontol B Psychol Sci Soc Sci 2005;60:S224-32
24. Heller DA, Ahern FM, Pringle KE, et al. Among older adults, the responsiveness of self-rated health to changes in Charlson comorbidity was moderated by age and baseline comorbidity. J Clin Epidemiol 2009;62:177-187
25. D'Hoore W, Bouckaert A, Tilquin C. Practical considerations on the use of the Charlson comorbidity index with administrative data bases. J Clin Epidemiol 1996;49:1429-1433
26. Schnittker J. When mental health becomes health: age and the shifting meaning of self-evaluations of general health. Milbank Q. 2005;83: 397-423