Arthritis Among Veterans — United States, 2011–2013
Please note: An erratum has been published for this article. To view the erratum, please click here.
Louise B. Murphy, PhD1, Charles G. Helmick, MD1, Kelli D. Allen, PhD2, Kristina A. Theis, MPH1, Nancy A. Baker, ScD1, Glen R. Murray3, Jin Qin, PhD1, Jennifer M. Hootman, PhD1, Teresa J. Brady, PhD1, Kamil E. Barbour, PhD1 (Author affiliations at end of text)
Arthritis is among the most common chronic conditions among veterans and is more prevalent among veterans than nonveterans (1,2). Contemporary population-based estimates of arthritis prevalence among veterans are needed because previous population-based studies predate the Persian Gulf War (1), were small (2), or studied men only (2) despite the fact that women comprise an increasing proportion of military personnel and typically have a higher prevalence of arthritis than men (1,3). To address this knowledge gap, CDC analyzedcombined 2011, 2012, and 2013 Behavioral Risk Factor Surveillance System (BRFSS) data among all adults aged =18 years, by veteran status, to estimate the total and sex-specific prevalence of doctor-diagnosed arthritis overall and by sociodemographic categories, and the state-specific prevalence (overall and sex-specific) of doctor-diagnosed arthritis. This report summarizes the results of these analyses, which found that one in four veterans reported that they had arthritis (25.6%) and that prevalence was higher among veterans than nonveterans across most sociodemographic categories, including sex (prevalence among male and female veterans was 25.0% and 31.3%, respectively). State-specific, age-standardized arthritis prevalence among veterans ranged from 18.8% in Hawaii to 32.7% in West Virginia. Veterans comprise a large and important target group for reducing the growing burden of arthritis. Those interested in veterans' health can help to improve the quality of life of veterans by ensuring that they have access to affordable, evidence-based, physical activity and self-management education classes that reduce the adverse effects of arthritis (e.g., pain and depression) and its common comorbidities (e.g., heart disease and diabetes).
BRFSS is an annual, cross-sectional, random-digit–dialed telephone (landline and cell phone) survey of the 50 U.S. states, territories, and the District of Columbia (DC). BRFSS is designed to collect data that are representative of the noninstitutionalized adult civilian population in each state. All analyses used combined 2011, 2012, and 2013 BRFSS data. Median state-specific BRFSS response rates, based on American Association for Public Opinion Research definition no. 4, were 49.7% in 2011, 45.2% in 2012, and 45.9% in 2013.* BRFSS respondents were defined as having arthritis if they responded "yes" to the question, "Have you ever been told by a doctor or other health professional that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?" Veterans were defined as those who responded "yes" to the question, "Have you ever served on active duty in the United States Armed Forces, either in the regular military or in a National Guard or military Reserve unit? Active duty does not include training for the Reserves or National Guard, but does include activation, for example, for the Persian Gulf War."
CDC estimated annualized crude and age-specific prevalence of doctor-diagnosed arthritis stratified by veteran status and sex, age-standardized overall and sex-specific prevalence by veteran status across categories of race/ethnicity, highest educational attainment, employment status, income, and body mass index (under/normal weight, overweight, and obese), age-standardized prevalence overall and by sex among veterans for the 50 states, DC, Guam, and Puerto Rico. Data were analyzed using software that accounted for the complex sampling design, including application of sampling weights so that estimates were representative of the noninstitutionalized adult civilian population in each state. Variance was estimated with 95% confidence intervals (CIs) that accounted for the clustered design using the Taylor series linearization method. The 2000 U.S. Projected Population, in three age groups (18–44, 45–64, and =65 years) was used for age-standardization.†
Veterans had a higher overall prevalence of reported arthritis than nonveterans, 25.6% (CI = 25.2%–26.1%) versus 23.6% (CI = 23.4%–23.7%). For both men and women, arthritis prevalence was higher among veterans than nonveterans (Table 1). Among male veterans (compared with male nonveterans) arthritis prevalence was higher for all age groups, and age-standardized arthritis prevalence was =5 percentage points higher across most of the sociodemographic categories examined (race/ethnicity, education, income, employment status, and body mass index) (Table 1). Among female veterans (compared with female nonveterans) arthritis prevalence was higher for young (18–44 years) and middle aged (44–64 years) women; age-standardized arthritis prevalence was =5 percentage points higher across most of the sociodemographic categories examined (Table 1). Of the estimated 9.0 million veterans with arthritis, 8.3 million were men and 670,000 were women.
Among the 50 states and DC, the median state-specific arthritis prevalence among veterans was 25.4% (range = 19.7% in DC to 32.7% in West Virginia) (Table 2, Figure). Among male veterans, the median state-specific prevalence was 24.7% (range = 18.4% in Hawaii to 32.7% in West Virginia); among women the median was 30.3% (range = 22.4% in Hawaii to 42.7% in Oregon) (Table 2). In each state, veterans comprised a substantial proportion of all persons with arthritis (median = 15.9%; range = 12.6% in Illinois and New Jersey to 22.2% in Alaska) (Table 2).
Discussion
Veterans reported arthritis frequently and more often than nonveterans among both men and women and across all sociodemographic groups. Although a high level of physical fitness and good health are required for entry into military service, traumatic and overuse injuries are common during active duty (4). A recent study found that the incidence of osteoarthritis (a condition that represents the largest portion of arthritis cases and for which musculoskeletal injuries are a potent risk factor) was higher among an active duty sample than osteoarthritis incidence reported in civilian populations (5).
One of the few previous population-based studies of arthritis prevalence among veterans was a small study based on 2010 BRFSS data from men in five states (Indiana, Mississippi, South Carolina, West Virginia, and Wisconsin) (2). In that study, 44.8% (unadjusted) had arthritis, whereas in the current study, arthritis prevalence in these same five states was lower, ranging from 32.7% in West Virginia to 22.0% in Wisconsin. Two changes in the BRFSS methodology since 2011 might account for this difference. First, cell phone users are now sampled. Inclusion of cell phones captures younger adults who might be missed with previous landline-only data collection; the latter is more likely to capture age groups (middle aged and older adults) with a higher prevalence of arthritis. Second, sampling weights, which are applied to make estimates representative of each states' population, are now calculated using iterative proportional fitting (raking) methods, whereas before 2011, sampling weights were derived using post-stratification procedures.§
Arthritis prevalence was consistently higher among female veterans than their male counterparts. A previously reported estimate among women using U.S. Department of Veterans Affairs (VA) health system services indicated that three in four (77.6% in 2008) had arthritis (6). Although this estimate is considerably higher than the estimate for women overall in the current study (31.3%), VA health system consumers represent a subset of veterans who are more likely to have military service–associated disability (7). In the current study, arthritis prevalence among women veterans who reported being unable to work (67.9%) was almost as high as that in the previous study. This subgroup might be most similar to VA system users.
Although the prevalence of arthritis was higher among women, the relative differences in prevalence between veterans and nonveterans was higher for men than women. Patterns across age were also noteworthy. Arthritis was not only highly prevalent among middle aged (45–64 years) veterans (40.3% among women and 36.0% among men) but also among younger veterans (prevalences of 17.3% and 11.6% among women and men aged 18–44 years, respectively) indicating that arthritis and its effects need to be addressed among male and female veterans of all ages. Reducing the impact of arthritis among younger adults might help to stem its debilitating effects in later life.
The findings in this report are subject to at least five limitations. First, arthritis was based on self-report. Although recall bias is possible, a validation study among health plan enrollees found that this definition had a positive predictive value of 74.9% among persons aged 45–64 years and a 91.0% positive predictive value among persons ages =65 years (8) and is acceptable for public health surveillance of arthritis. Second, there was insufficient sample size to estimate state-specific arthritis prevalence across the same sociodemographic categories as for the overall estimates (Table 1). Nevertheless, BRFSS collection of veteran status in 2011, 2012, and 2013 allowed analysis of arthritis prevalence across finer sociodemographic categories than previously possible, which was especially important in calculating sex-specific estimates. Third, similar to civilian jobs, there is considerable heterogeneity in military occupations, ranging from sedentary office jobs to physically demanding roles, including combat. BRFSS did not collect information about duration of active duty and work-related risk factors for arthritis during service (e.g., trauma/injury versus physical work demand), and therefore arthritis prevalence across these groups cannot be determined. Fourth, data are cross-sectional and not longitudinal, and therefore, attributing onset of arthritis to veteran status is not appropriate; furthermore, arthritis among veterans might be unrelated to service and attributable instead to risk factors for arthritis (e.g., obesity for osteoarthritis or smoking for rheumatoid arthritis). Finally, results might be subject to selection bias because the median BRFSS response rates were <50% in all three survey years. Nevertheless, the population-based estimates for veterans overall and across sociodemographic categories in this study demonstrate that arthritis among veterans is an important public health concern.
The contemporary, state-specific arthritis prevalence estimates provided in this report indicate that veterans with arthritis represented a sizeable portion (with a median of approximately one in six) of adults with arthritis in each state. Because most veterans use health systems other than the VA system (9), strategies for managing arthritis that are accessible to all veterans are essential. Fortunately, multiple self-management strategies have been proven to decrease the adverse effects of arthritis and improve the quality of life of persons with arthritis. These include courses that teach persons with arthritis how to achieve recommended levels of physical activity (e.g., Walk with Ease and EnhanceFitness)¶ and those that teach skills for better managing arthritis and other chronic conditions, including diabetes, heart disease, and chronic lung diseases (e.g., self-management education classes such as the Chronic Disease Self-Management Program).** Although these courses are increasingly available in communities across the United States, even greater availability is needed to ensure they are readily available for the large and growing number of adults with arthritis, including veterans (10). General community offerings of these programs might not appeal to some veterans or accommodate their specific needs or preferences. The high prevalence of arthritis among veterans, coupled with the large absolute number of veterans affected, suggests that dedicated veterans' service organizations in the community and other settings are well-positioned to offer these evidence-based programs to the veteran population. Additionally, health care professionals can have a meaningful impact on improving veterans' quality of life and function by recommending these programs to their patients with arthritis.
1Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC; 2Health Services Research and Development Service, U.S. Department of Veterans Affairs Medical Center, Durham, North Carolina, and Thurston Arthritis Research Center, University of North Carolina at Chapel Hill; 3Geographic Information Systems Laboratory, University of West Georgia (Corresponding author: Louise B. Murphy, lmurphy1@cdc.gov, 770-488-5464)
Acknowledgment
Karen Wooten, MA, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC.
References
Dominick KL, Golightly YM, Jackson GL. Arthritis prevalence and symptoms among US non-veterans, veterans, and veterans receiving Department of Veterans Affairs Healthcare. J Rheumatol 2006;33:348–54.
Hoerster KD, Lehavot K, Simpson T, McFall M, Reiber G, Nelson KM. Health and health behavior differences: U.S. military, veteran, and civilian men. Am J Prev Med 2012;43:483–9.
Hauret KG, Jones BH, Bullock SH, Canham-Chervak M, Canada S. Musculoskeletal injuries description of an under-recognized injury problem among military personnel. Am J Prev Med 2010;38(1 Suppl):S61–70.
Cameron KL, Hsiao MS, Owens BD, Burks R, Svoboda SJ. Incidence of physician-diagnosed osteoarthritis among active duty United States military service members. Arthritis Rheum 2011;63:2974–82.
Yoon J, Scott JY, Phibbs CS, Frayne SM. Trends in rates and attributable costs of conditions among female VA patients, 2000 and 2008. Womens Health Issues 2012;22:e337–44.
Friedman SA, Phibbs CS, Schmitt SK, Hayes PM, Herrera L, Frayne SM. New women veterans in the VHA: a longitudinal profile. Womens Health Issues 2011;21(4 Suppl):S103–11.
Sacks JJ, Harrold LR, Helmick CG, Gurwitz JH, Emani S, Yood RA. Validation of a surveillance case definition for arthritis. Journal Rheumatol 2005;32:340–7.
Copeland LA, Zeber JE, Bingham MO, et al. Transition from military to VHA care: psychiatric health services for Iraq/Afghanistan combat-wounded. J Affect Disord 2011;130:226–30.
Ory MG, Smith ML, Patton K, Lorig K, Zenker W, Whitelaw N. Self-management at the tipping point: reaching 100,000 Americans with evidence-based programs. J Am Geriatr Soc 2013;61:821–3.
§ Post-stratified weights are calculated by aligning each individual characteristic (e.g., sex and age) of the sample with the target population; iterative proportional fitting (raked weights) are calculated by iteratively aligning each specific combination of characteristics (e.g., women aged 18–25 years). Additional information available at http://www.cdc.gov/brfss/annual_data/2013/pdf/weighting_data.pdf.
Arthritis is a common chronic condition among veterans, and at least two population-based studies have reported a higher prevalence of arthritis among veterans compared with nonveterans. These arthritis prevalence studies of veterans were conducted before the Persian Gulf War, were small, or examined men only.
What is added by this report?
To assess the prevalence of doctor-diagnosed arthritis among male and female veterans, CDC analyzed Behavioral Risk Factor Surveillance System survey data from 2011, 2012, and 2013. The analysis found that 25.6% of veterans reported having arthritis (25.0% among men and 31.3% among women) and that prevalence was higher among veterans than nonveterans across most sociodemographic categories. State-specific, age-standardized arthritis prevalence among veterans ranged from 18.8% in Hawaii to 32.7% in West Virginia.
What are the implications for public health practice?
The high prevalence of arthritis, combined with the large number of persons affected, indicate that strategies are needed to reduce the adverse effects of arthritis. Interventions to improve the quality of life of persons with arthritis include providing access to affordable physical activity and self-management education classes.
TABLE 1. Crude, age-specific, and age-standardized* estimated prevalence of arthritis among veterans and nonveterans, by sex and selected sociodemographic characteristics — United States, 2011, 2012, and 2013 Behavioral Risk Factor Surveillance System surveys
Characteristic
Sex-specific
Overall (N = 1,464,060)
Men (n = 586,401)
Women (n = 875,889)
Nonveterans (n = 417,572)
Veterans (n = 168,829)
Nonveterans (n = 860,024)
Veterans (n = 15,865)
Nonveterans (n = 1,277,596)
Veterans (n = 111,934)
No.†
%†
95% CI†
No.†
%†
95% CI†
No.†
%†
95% CI†
No.†
%†
95% CI†
No.†
%†
95% CI†
No.†
%†
95% CI†
Overall
Crude
98,604
17.6
(17.4 – 17.8)
66,723
35.0
(34.6 – 35.4)
324,533
28.9
(28.7 – 29.1)
6,037
31.3
(29.9 – 32.7)
423,137
24.0
(23.8 – 24.1)
72,760
34.7
(34.3 – 35.1)
Age-standardized
98,103
19.5
(19.3 – 19.7)
66,385
25.0
(24.5 – 25.4)
321,422
26.1
(26.0 – 26.3)
5,963
31.3
(29.9 – 32.7)
419,525
23.6
(23.4 – 23.7)
72,348
25.6
(25.2 – 26.1)
Age group (yrs)
18–44
12,309
6.9
(6.7–7.2)
2,473
11.6
(10.9–12.4)
24,859
9.8
(9.6–10.0)
813
17.3
(15.3–19.5)
37,168
8.4
(8.3–8.6)
3,286
12.6
(11.9–13.3)
45–64
52,662
27.4
(27.0–27.8)
19,514
36.0
(35.3–36.8)
126,332
36.8
(36.5–37.2)
2,942
40.3
(38.1–42.4)
178,994
32.7
(32.5–33.0)
22,456
36.4
(35.7–37.1)
=65
33,132
44.5
(43.8–45.3)
44,398
47.1
(46.5–47.7)
170,231
58.2
(57.9–58.6)
2,208
58.9
(55.8–61.8)
203,363
54.6
(54.3–54.9)
46,606
47.4
(46.8–48.0)
Race/Ethnicity§
White, non-Hispanic
78,495
21.2
(21.0–21.5)
55,836
25.1
(24.6–25.7)
258,029
27.2
(27.0–27.4)
4,549
31.8
(30.2–33.4)
336,524
24.9
(24.7–25.0)
60,385
25.7
(25.2–26.2)
Black, non-Hispanic
6,934
19.5
(18.8–20.3)
4,031
25.1
(23.6–26.6)
30,127
28.1
(27.6–28.6)
738
27.7
(24.0–31.7)
37,061
24.9
(24.5–25.3)
4,769
25.8
(24.4–27.3)
Hispanic
5,536
14.3
(13.6–15.0)
2,057
21.9
(20.3–23.6)
17,350
22.7
(22.1–23.2)
245
28.8
(23.6–34.7)
22,886
18.9
(18.5–19.3)
2,302
22.7
(21.1–24.4)
Other, non-Hispanic
6,002
16.2
(15.2–17.2)
3,602
28.4
(26.4–30.4)
14,791
23.0
(22.1–23.9)
414
33.5
(28.1–39.3)
20,793
20.2
(19.6–20.9)
4,016
29.1
(27.2–31.1)
Highest educational attainment§
Less than high school
13,840
22.9
(22.3–23.6)
4,806
31.7
(28.5–35.0)
39,011
31.2
(30.7–31.8)
¶
¶
¶
52,851
27.4
(27.0–27.9)
4,941
32.9
(29.4–36.6)
High school or equivalent
31,252
20.7
(20.4–21.1)
21,041
25.0
(24.2–25.9)
110,453
27.8
(27.4–28.1)
1,163
30.1
(27.2–33.1)
141,705
25.0
(24.8–25.2)
22,204
25.3
(24.5–26.1)
Technical degree/Some college
22,770
20.4
(20.0–20.9)
19,939
26.1
(25.3–26.8)
92,571
26.7
(26.4–27.0)
2,386
33.2
(31.0–35.5)
115,341
24.5
(24.3–24.7)
22,325
26.9
(26.2–27.7)
College degree or higher
30,421
15.0
(14.7–15.3)
20,775
21.5
(20.7–22.3)
81,415
20.9
(20.7–21.2)
2,339
28.5
(26.7–30.3)
111,836
18.4
(18.3–18.6)
23,114
22.4
(21.7–23.2)
Employment status§
Working
44,285
15.7
(15.4–16.0)
16,092
20.5
(19.9–21.0)
89,980
21.3
(21.1–21.6)
1,986
24.8
(22.7–27.0)
134,265
18.7
(18.5–18.9)
18,078
20.9
(20.3–21.4)
Not working
6,261
19.3
(18.2–20.4)
2,209
27.3
(25.1–29.6)
14,569
27.7
(27.0–28.5)
326
35.6
(29.7–41.9)
20,830
24.2
(23.6–24.8)
2,535
28.2
(26.2–30.3)
Homemaker/student
791
18.6
(15.7–21.8)
291
22.5
(18.6–26.9)
33,544
22.9
(22.4–23.3)
447
30.2
(26.6–33.9)
34,335
22.2
(21.8–22.6)
738
25.8
(23.2–28.6)
Retired
31,111
33.4
(28.4–38.8)
41,535
37.3
(32.5–42.3)
136,637
33.5
(29.9–37.3)
¶
¶
¶
167,748
34.3
(31.0–37.8)
43,801
38.8
(34.3–43.5)
Unable to work
15,746
44.3
(42.9–45.8)
6,341
54.1
(50.5–57.8)
48,246
58.3
(57.2–59.4)
982
67.9
(60.6–74.5)
63,992
52.9
(52.0–53.7)
7,323
56.5
(53.2–59.8)
Annual household income§
<$15,000
13,544
25.1
(24.4–25.8)
5,274
32.7
(30.4–35.1)
53,074
34.4
(33.9–35.0)
740
42.7
(37.9–47.6)
66,618
31.0
(30.5–31.4)
6,014
33.9
(31.8–36.0)
$15,000 to <$25,000
16,443
22.5
(21.9–23.1)
11,629
30.5
(29.1–32.0)
65,049
30.0
(29.6–30.5)
1,071
35.9
(32.0–40.1)
81,492
27.1
(26.8–27.4)
12,700
31.1
(29.8–32.5)
$25,000 to <$50,000
22,202
19.5
(19.0–19.9)
19,869
25.6
(24.7–26.5)
73,142
26.5
(26.1–26.8)
1,572
31.0
(28.6–33.6)
95,344
23.7
(23.4–24.0)
21,441
26.1
(25.2–26.9)
=$50,000
36,178
17.1
(16.8–17.4)
22,271
22.3
(21.6–22.9)
74,785
21.9
(21.6–22.2)
1,874
28.0
(25.8–30.4)
110,963
19.8
(19.6–20.0)
24,145
22.9
(22.3–23.6)
Body mass index§
Underweight/Normal weight (<25)
19,994
15.5
(15.1–15.8)
14,741
19.9
(19.1–20.7)
97,371
20.5
(20.3–20.7)
1,792
25.1
(23.0–27.3)
117,365
19.0
(18.8–19.2)
16,533
20.8
(20.1–21.6)
Overweight (25 to <30)
39,025
18.0
(17.7–18.3)
28,729
23.0
(22.3–23.6)
95,942
25.6
(25.3–25.9)
1,863
31.6
(29.2–34.2)
134,967
22.0
(21.8–22.2)
30,592
23.6
(23.0–24.3)
Obese (=30)
38,114
26.0
(25.6–26.4)
22,537
32.4
(31.4–33.4)
109,627
35.5
(35.2–35.9)
2,039
39.9
(36.9–43.0)
147,741
31.5
(31.3–31.8)
24,576
33.0
(32.0–34.0)
Abbreviation: CI = confidence interval.
* Age-standardized to 2000 U.S. projected population (age groups 18–44, 45–64, and =65 years); includes only those for whom age was reported.
† Number of respondents (unweighted) who reported having arthritis.
§ Weighted to noninstitutionalized U.S. civilian population using sampling weights provided in Behavioral Risk Factor Surveillance System survey data.
¶ Estimates not presented if number of respondents was <50 or relative standard error was =30 because estimate might be unreliable.
TABLE 2. State-specific, age-standardized* estimated prevalence of arthritis among veterans, by sex — United States, 2011, 2012, and 2013 Behavioral Risk Factor Surveillance System surveys (N = 1,464,060)
State
Sex-specific
All veterans
Veterans with arthritis as % of all persons in state with arthritis¶
Men
Women
No.†
No. (1,000s)§
%§
95% CI§
No.†
No. (1,000s)§
%§
95% CI§
No.†
No. (1,000s)§
%§
95% CI§
Alabama
1,233
165
26.8
(24.4–29.2)
149
16
34.1
(28.7–39.9)
1,382
182
27.8
(25.7–30.0)
15.4
Alaska
612
24
26.6
(24.1–29.4)
65
2
26.4
(19.8–34.3)
677
26
26.6
(24.2–29.1)
22.2
Arizona
1,061
194
23.9
(21.1–27.0)
102
24
40.0
(29.7–51.2)
1,163
218
25.9
(22.9–29.2)
18.5
Arkansas
746
89
25.6
(22.5–29.0)
78
9
34.5
(26.3–43.7)
824
98
26.7
(23.8–29.8)
14.9
California
1,694
754
23.6
(21.7–25.5)
158
58
34.4
(28.9–40.4)
1,852
811
24.7
(22.9–26.6)
13.8
Colorado
1,941
141
24.7
(23.0–26.5)
176
14
31.1
(26.5–36.1)
2,117
155
25.4
(23.8–27.1)
17.7
Connecticut
905
87
24.9
(21.6–28.4)
66
5
27.6
(20.9–35.6)
971
92
25.0
(22.0–28.2)
14.1
Delaware
777
30
23.5
(20.5–26.7)
94
3
30.1
(23.4–37.7)
871
33
24.3
(21.6–27.2)
17.6
District of Columbia
420
10
19.9
(16.8–23.4)
§
§
§
§
468
10
19.7
(16.9–22.8)
10.3
Florida
3,276
639
23.8
(21.8–25.8)
313
60
34.4
(27.7–41.8)
3,589
699
25.0
(23.0–27.1)
17.5
Georgia
1,110
263
24.1
(22.0–26.3)
155
31
30.4
(25.5–35.7)
1,265
294
24.8
(22.9–26.9)
16.8
Hawaii
866
33
18.4
(16.5–20.5)
77
2
22.4
(17.6–28.2)
943
36
18.8
(17.0–20.7)
17.1
Idaho
891
50
28.9
(24.7–33.5)
76
3
30.1
(22.8–38.6)
967
53
28.7
(24.8–33.0)
18.7
Illinois
721
284
25.1
(21.4–29.3)
53
17
29.9
(22.0–39.3)
774
301
25.4
(22.0–29.1)
12.6
Indiana
1,182
171
27.3
(24.6–30.2)
90
10
31.0
(24.6–38.2)
1,272
181
27.3
(24.8–30.0)
13.3
Iowa
956
81
22.8
(20.3–25.4)
64
4
27.5
(19.4–37.4)
1,020
86
23.2
(20.8–25.9)
14.8
Kansas
2,497
80
26.2
(24.5–27.9)
223
7
33.8
(29.0–39.0)
2,720
87
26.9
(25.3–28.6)
17.2
Kentucky
1,417
134
30.2
(27.7–32.8)
133
7
29.3
(23.1–36.4)
1,550
141
30.2
(27.9–32.6)
12.9
Louisiana
1,018
117
23.4
(21.1–25.9)
88
9
31.1
(24.2–39.0)
1,106
126
24.4
(22.1–26.9)
13.7
Maine
1,678
52
28.7
(26.3–31.2)
125
3
28.1
(22.8–34.2)
1,803
55
28.5
(26.3–30.8)
17.5
Maryland
1,590
150
24.5
(22.2–27.1)
234
18
28.2
(24.2–32.6)
1,824
168
24.9
(22.8–27.1)
15.9
Massachusetts
2,159
159
23.6
(21.2–26.2)
188
12
33.1
(26.4–40.6)
2,347
171
24.9
(22.6–27.4)
13.9
Michigan
1,737
301
31.5
(28.3–34.8)
107
15
30.0
(23.5–37.5)
1,844
316
31.2
(28.3–34.2)
13.3
Minnesota
1,500
127
22.6
(20.0–25.5)
123
8
25.9
(19.5–33.5)
1,623
135
22.7
(20.2–25.4)
16.1
Mississippi
1,057
84
30.0
(26.9–33.4)
97
7
31.5
(25.2–38.5)
1,154
90
30.1
(27.2–33.1)
13.6
Missouri
1,058
190
28.4
(25.3–31.7)
86
13
33.5
(26.1–41.7)
1,144
203
28.7
(25.8–31.8)
15.3
Montana
1,585
37
26.4
(24.1–28.9)
127
3
32.0
(26.5–38.2)
1,712
40
26.9
(24.8–29.2)
19.0
Nebraska
2,946
53
25.7
(23.6–28.0)
212
4
39.5
(33.2–46.2)
3,158
57
26.8
(24.8–29.0)
17.0
Nevada
793
80
24.6
(21.2–28.2)
65
4
22.6
(17.1–29.2)
858
84
23.9
(20.9–27.1)
18.1
New Hampshire
1,077
44
28.1
(24.7–31.8)
92
3
29.2
(22.8–36.4)
1,169
48
27.8
(24.7–31.0)
17.3
New Jersey
1,524
179
21.6
(19.5–23.8)
120
10
23.8
(18.3–30.3)
1,644
190
22.0
(20.1–24.0)
12.6
New Mexico
1,225
56
23.9
(21.8–26.2)
131
5
28.1
(23.0–33.8)
1,356
61
24.2
(22.3–26.3)
16.1
New York
714
365
22.7
(20.0–25.8)
55
18
31.8
(24.4–40.1)
769
384
23.5
(20.8–26.3)
10.3
North Carolina
1,508
277
24.2
(22.3–26.2)
132
19
23.2
(18.9–28.1)
1,640
297
24.1
(22.4–25.9)
15.5
North Dakota
763
19
24.3
(21.8–27.0)
58
1
27.4
(20.6–35.4)
821
21
24.7
(22.3–27.3)
15.5
Ohio
1,566
351
26.7
(24.5–29.0)
115
20
30.9
(24.9–37.6)
1,681
372
27.2
(25.1–29.4)
14.2
Oklahoma
1,258
120
29.2
(26.6–31.9)
104
8
29.6
(24.5–35.3)
1,362
129
28.9
(26.7–31.3)
16.3
Oregon
864
120
27.6
(24.4–31.2)
93
12
42.7
(32.4–53.6)
957
133
29.1
(25.8–32.5)
16.1
Pennsylvania
2,014
384
28.4
(26.0–30.8)
159
24
35.0
(27.0–43.9)
2,173
409
29.1
(26.8–31.6)
14.1
Rhode Island
905
33
28.7
(25.3–32.5)
68
2
24.5
(18.4–31.9)
973
35
28.2
(25.0–31.6)
15.6
South Carolina
1,994
154
27.3
(25.2–29.6)
192
14
35.7
(30.5–41.2)
2,186
169
28.3
(26.3–30.3)
16.1
South Dakota
1,078
25
26.3
(22.7–30.2)
82
1
29.4
(22.8–36.9)
1,160
27
26.2
(22.9–29.7)
17.8
Tennessee
818
203
25.8
(22.2–29.7)
85
20
33.6
(24.3–44.4)
903
223
26.8
(23.4–30.4)
16.6
Texas
1,441
573
23.8
(21.7–26.0)
167
65
32.1
(25.4–39.6)
1,608
637
24.9
(22.9–27.0)
16.3
Utah
1,332
49
22.5
(20.5–24.5)
86
3
32.3
(25.4–40.0)
1,418
53
23.3
(21.4–25.3)
13.5
Vermont
891
19
24.4
(21.6–27.3)
61
1
32.8
(24.1–42.9)
952
20
25.4
(22.8–28.3)
14.8
Virginia
1,043
243
22.6
(20.7–24.6)
151
32
26.9
(22.9–31.3)
1,194
275
23.0
(21.2–24.8)
17.3
Washington
2,109
207
23.8
(22.0–25.6)
257
22
29.9
(25.4–34.8)
2,366
229
24.4
(22.8–26.1)
17.6
West Virginia
916
73
32.7
(29.8–35.8)
65
4
34.7
(27.6–42.6)
981
76
32.7
(30.0–35.6)
14.5
Wisconsin
742
154
22.0
(19.1–25.1)
55
10
28.5
(20.5–38.1)
797
164
22.4
(19.8–25.3)
14.8
Wyoming
1,054
18
24.7
(22.0–27.5)
85
1
28.1
(20.4–37.3)
1,139
20
25.0
(22.4–27.8)
18.3
Median
24.7
30.3
25.4
15.9
Guam
131
18.6
(15.3–22.3)
**
**
**
145
18.2
(15.2–21.6)
16.3
Puerto Rico
330
20.9
(18.0–24.1)
**
**
**
368
22.6
(19.1–26.5)
5.9
* Age-standardized to 2000 U.S. projected population (age groups 18–44, 45–64, and =65 years); includes only those for whom age was reported.
† Number of respondents (unweighted) who reported having arthritis.
§ Weighted to noninstitutionalized U.S. civilian population using sampling weights provided in Behavioral Risk Factor Surveillance System survey data.
¶ Number of veterans with arthritis / total number of adults in state with arthritis.
** Estimates not presented if number of respondents was <50 or relative standard error was =30 because estimate might be unreliable.
FIGURE. State-specific, age-standardized estimated prevalence of arthritis among veterans — United States, 2011, 2012, and 2013 Behavioral Risk Factor Surveillance System surveys
Abbreviations: GU = Guam; PR = Puerto Rico.
Alternate Text: The figure above is a map showing state-specific, age-standardized estimated prevalence of arthritis among veterans in the United States in 2011, 2012, and 2013 Behavioral Risk Factor Surveillance System surveys. Among the 50 states and the District of Columbia, the median state-specific arthritis prevalence among veterans was 25.4% (range = 19.7% in the District of Columbia to 32.7% in West Virginia).