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Morbidity and Mortality Weekly Report logoLink to Morbidity and Mortality Weekly Report
. 2021 Oct 22;70(42):1466–1471. doi: 10.15585/mmwr.mm7042a2

Self-Management Education Class Attendance and Health Care Provider Counseling for Physical Activity Among Adults with Arthritis — United States, 2019

Lindsey M Duca 1,2,, Charles G Helmick 2, Kamil E Barbour 2, Dana Guglielmo 2,3, Louise B Murphy 2, Michael A Boring 2, Kristina A Theis 2, Erica L Odom 2, Yong Liu 2, Janet B Croft 2
PMCID: PMC9361837  PMID: 34673750

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

BRFSS is an annual, cross-sectional, state-based telephone survey conducted among the noninstitutionalized U.S. population aged ≥18 years.* In 2019, the median combined landline and cellular survey response rate for 49 states and the District of Columbia (DC) was 49.4% (range = 37.3%–73.1%).§ Participants were identified as having arthritis if they responded “yes” to the question, “Have you ever been told by a doctor or other health care professional that you have arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?” Among 135,862 adults with arthritis, self-management class attendance was defined by an affirmative response to the question, “Have you ever taken an educational course or class to teach you how to manage problems related to your arthritis or joint symptoms?” Respondents with arthritis were classified as having received health care provider counseling for physical activity if they answered “yes” to the question, “Has a doctor or other health professional ever suggested physical activity or exercise to help your arthritis or joint symptoms?”

Among adults with arthritis in 49 states and DC, state-specific unadjusted and age-standardized** prevalences (with 95% confidence intervals [CIs]) were calculated for self-management class attendance or having received health care provider counseling (counseling) to be physically active. Differences in the prevalences of these two outcomes by selected characteristics were assessed in age-adjusted†† logistic regression models that included age as a categorical covariate. All analyses accounted for BRFSS’s complex sampling design and sampling weights, based on iterative proportional fitting, were applied to make state-specific estimates representative of each state.§§ Analyses were conducted using SAS (version 9.4; SAS Institute) and SUDAAN (version 11.0; RTI International). This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.¶¶

In 2019, among 49 states and DC, a median of 23.6% of respondents reported having arthritis. Among adults with arthritis, the median age-standardized prevalence of reported self-management class attendance was 16.2% (range = 9.8% [DC] to 24.9% [Hawaii]) (Table 1). Age-adjusted prevalence reflected lower self-management class attendance among men (15.4%) than among women (17.0%), among non-Hispanic White (15.6%) or Hispanic (17.0%) persons than among non-Hispanic Asian (20.9%), American Indian or Alaska Native (21.9%), or other or multiple race (21.2%) persons, and among those never married (15.0%) or a member of an unmarried couple (15.8%) than among those married (16.0%) or divorced, separated, or widowed (17.3%) (Table 2). Age-adjusted prevalence increased with higher educational attainment, urbanicity, federal poverty level, and joint pain severity. Groups with prevalences of self-management class attendance of <15.0% included persons with a high school education or less (12.8%); those employed (14.8%), unemployed (13.4%), or a student or homemaker (12.8%); those residing in micropolitan (14.5%) or rural areas (14.7%); those who were inactive in the last 30 days (12.9%); and those with no to mild joint pain (13.6%). No differences in prevalence by sexual orientation or body mass index were observed.

TABLE 1. Unadjusted and age-standardized* prevalence of self-management education class attendance and receipt of health care provider counseling about physical activity§ among adults with arthritis aged ≥18 years — Behavioral Risk Factor Surveillance System, United States,** 2019.

Jurisdiction
Persons with arthritis
Self-management education class attendance
Health care provider physical activity counseling
Est. no.††
% (95% CI)
Est. no.††
% (95% CI)
Est. no.††
% (95% CI)
Unadjusted
Age-standardized
Unadjusted
Age-standardized
Unadjusted
Age-standardized
Median,§§ % NA 26.1 23.6 NA 15.7 16.2 NA 70.4 69.3
Alabama
1,273,000
33.9 (32.5–35.3)
30.4 (29.2–31.6)
191,000
15.1 (13.5–16.9)
17.3 (14.4–20.7)
871,000
69.0 (66.7–71.1)
69.1 (65.3–72.6)
Alaska
116,000
21.4 (19.4–23.5)
20.9 (19.2–22.8)
23,000
19.8 (15.7–24.6)
21.1 (14.7–29.2)
83,000
72.3 (68.0–76.2)
75.8 (69.8–80.9)
Arizona
1,301,000
23.6 (22.2–24.9)
21.0 (19.8–22.3)
226,000
17.5 (15.3–19.9)
16.2 (12.6–20.4)
907,000
70.1 (67.1–73.0)
67.1 (61.0–72.7)
Arkansas
715,000
31.2 (29.6–32.9)
28.5 (27.0–30.0)
104,000
14.6 (12.6–16.8)
14.7 (11.6–18.5)
466,000
66.3 (63.4–69.0)
63.2 (58.0–68.1)
California
6,007,000
19.8 (18.9–20.7)
18.4 (17.6–19.2)
1,192,000
19.9 (17.9–22.1)
20.4 (16.9–24.4)
336,000
72.7 (70.4–74.9)
70.3 (66.3–74.1)
Colorado
990,000
22.3 (21.4–23.2)
21.1 (20.2–22.0)
154,000
15.6 (14.0–17.4)
16.5 (13.8–19.7)
678,000
69.8 (67.7–71.9)
69.3 (65.5–72.8)
Connecticut
653,000
23.5 (22.5–24.6)
20.3 (19.4–21.3)
78,000
12.0 (10.6–13.6)
12.8 (9.8–16.5)
467,000
72.6 (70.3–74.7)
71.3 (66.2–75.9)
Delaware
208,000
27.4 (25.6–29.3)
23.6 (22.0–25.3)
33,000
15.6 (13.2–18.4)
15.4 (11.8–19.7)
152,000
73.1 (69.7–76.2)
69.1 (62.2–75.2)
District of Columbia
97,000
17.2 (15.7–18.9)
18.7 (17.3–20.3)
15,000
15.7 (12.9–18.9)
9.8 (7.4–12.7)
73,000
77.3 (72.7–81.3)
74.4 (66.0–81.3)
Florida
4,325,000
25.4 (24.1–26.7)
21.1 (20.0–22.3)
881,000
20.4 (17.9–23.2)
20.8 (16.4–26.2)
3,052,000
71.4 (68.9–73.7)
70.2 (65.4–74.5)
Georgia
1,902,000
23.8 (22.4–25.2)
22.2 (21.0–23.5)
301,000
15.9 (13.7–18.4)
17.0 (12.7–22.3)
1,260,000
67.0 (63.8–70.0)
63.4 (57.5–68.9)
Hawaii
230,000
20.9 (19.8–22.1)
18.4 (17.4–19.5)
48,000
20.8 (18.3–23.5)
24.9 (20.2–30.3)
159,000
69.7 (66.8–72.4)
66.7 (61.4–71.7)
Idaho
329,000
25.1 (23.4–26.8)
23.1 (21.5–24.7)
64,000
19.5 (16.4–23.1)
21.1 (15.4–28.3)
212,000
65.9 (62.3–69.4)
67.1 (61.0–72.6)
Illinois
2,409,000
24.7 (23.5–26.0)
22.5 (21.4–23.7)
415,000
17.2 (15.2–19.5)
15.8 (12.9–19.2)
1,715,000
71.6 (68.9–74.2)
70.5 (65.9–74.6)
Indiana
1,358,000
26.9 (25.9–28.0)
24.7 (23.7–25.7)
216,000
16.0 (14.4–17.7)
16.3 (13.5–19.5)
921,000
68.8 (66.6–70.9)
68.0 (64.2–71.6)
Iowa
618,000
25.7 (24.7–26.6)
23.0 (22.1–23.9)
94,000
15.4 (14.0–16.9)
17.0 (14.5–19.8)
408,000
67.3 (65.3–69.2)
65.5 (62.0–68.9)
Kansas
555,000
25.6 (24.7–26.5)
23.6 (22.7–24.4)
89,000
16.1 (14.6–17.6)
15.7 (13.3–18.4)
374,000
68.6 (66.6–70.5)
65.7 (62.1–69.1)
Kentucky
1,176,000
34.3 (32.7–35.9)
31.3 (29.8–32.9)
157,000
13.4 (11.5–15.4)
14.0 (11.3–17.0)
796,000
68.4 (65.8–70.9)
66.1 (61.9–70.0)
Louisiana
968,000
27.6 (26.1–29.2)
25.5 (24.2–26.9)
140,000
14.6 (12.5–16.8)
15.3 (12.2–18.9)
686,000
71.8 (69.0–74.5)
72.9 (68.5–76.9)
Maine
340,000
31.8 (30.5–33.1)
27.4 (26.1–28.8)
48,000
14.1 (12.6–15.7)
13.7 (11.2–16.8)
238,000
71.3 (69.0–73.4)
70.6 (66.0–74.8)
Maryland
1,107,000
23.9 (23.1–24.8)
21.6 (20.9–22.4)
178,000
16.2 (14.8–17.6)
17.7 (14.7–21.1)
826,000
75.3 (73.7–76.9)
75.2 (71.9–78.2)
Massachusetts
1,316,000
24.5 (23.3–25.7)
21.9 (20.8–23.0)
205,000
15.7 (13.9–17.7)
15.1 (12.3–18.4)
945,000
73.5 (71.1–75.8)
72.0 (67.6–76.0)
Michigan
2,373,000
30.8 (29.6–31.9)
27.2 (26.2–28.2)
345,000
14.6 (13.2–16.0)
14.5 (12.3–17.0)
1,665,000
71.0 (69.0–72.9)
70.6 (66.9–74.0)
Minnesota
928,000
21.7 (20.9–22.4)
19.4 (18.8–20.1)
175,000
19.0 (17.6–20.5)
18.4 (16.2–20.8)
629,000
69.1 (67.3–70.8)
67.5 (64.4–70.5)
Mississippi
650,000
28.8 (27.3–30.4)
26.3 (24.9–27.7)
92,000
14.2 (12.1–16.7)
18.5 (13.9–24.1)
442,000
68.7 (65.8–71.5)
69.5 (64.6–74.0)
Missouri
1,270,000
27.1 (25.8–28.4)
24.1 (22.9–25.2)
194,000
15.3 (13.6–17.3)
14.2 (11.6–17.3)
833,000
66.5 (63.8–69.0)
63.7 (58.9–68.3)
Montana
241,000
28.9 (27.7–30.2)
25.4 (24.3–26.6)
37,000
15.7 (13.9–17.6)
16.2 (13.3–19.5)
152,000
64.6 (62.1–67.0)
64.2 (60.0–68.2)
Nebraska
335,000
23.1 (22.3–24.0)
21.0 (20.2–21.7)
51,000
15.4 (14.0–16.9)
14.6 (12.2–17.4)
223,000
67.2 (65.3–69.1)
64.7 (60.9–68.4)
Nevada
531,000
22.7 (20.6–25.0)
20.7 (18.7–22.8)
96,000
18.2 (14.3–22.9)
15.4 (11.7–20.2)
366,000
69.0 (63.7–73.8)
70.2 (61.9–77.4)
New Hampshire
287,000
26.4 (25.0–27.9)
22.9 (21.5–24.2)
47,000
16.4 (14.5–18.6)
16.2 (12.5–20.6)
197,000
69.8 (67.0–72.6)
64.9 (58.7–70.7)
New Mexico
413,000
25.8 (24.4–27.3)
23.2 (21.9–24.5)
75,000
18.1 (15.8–20.6)
18.8 (15.1–23.2)
295,000
71.7 (68.9–74.3)
68.6 (63.7–73.1)
New York
3,302,000
22.1 (21.2–23.0)
19.9 (19.1–20.7)
472,000
14.4 (12.9–15.9)
12.8 (10.8–15.0)
2,357,000
72.1 (70.0–74.1)
69.6 (65.7–73.1)
North Carolina
2,172,000
27.0 (25.5–28.5)
24.4 (23.0–25.8)
412,000
19.0 (16.6–21.7)
21.5 (17.5–26.2)
607,000
74.5 (71.5–77.3)
75.0 (70.4–79.2)
North Dakota
147,000
25.4 (23.9–26.9)
24.2 (22.8–25.6)
18,000
12.6 (10.6–14.8)
12.6 (9.4–16.7)
93,000
64.6 (61.4–67.7)
59.9 (54.3–65.3)
Ohio
2,751,000
30.6 (29.5–31.8)
27.5 (26.4–28.6)
422,000
15.4 (13.9–17.1)
15.5 (13.2–18.2)
1,926,000
70.9 (68.8–72.8)
70.6 (67.0–73.9)
Oklahoma
790,000
27.0 (25.7–28.3)
25.0 (23.9–26.2)
128,000
16.3 (14.5–18.2)
16.7 (13.7–20.2)
522,000
67.1 (64.5–69.6)
65.0 (60.4–69.3)
Oregon
863,000
26.3 (25.0–27.6)
23.6 (22.5–24.8)
175,000
20.5 (18.3–22.8)
21.7 (18.5–25.2)
605,000
71.4 (68.7–74.0)
69.2 (65.1–72.9)
Pennsylvania
2,910,000
29.1 (27.7–30.5)
25.1 (24.0–26.3)
372,000
12.8 (11.2–14.7)
12.7 (10.0–15.9)
2,031,000
70.7 (68.2–73.1)
72.9 (68.8–76.6)
Rhode Island
224,000
26.8 (25.3–28.3)
23.8 (22.5–25.2)
33,000
14.9 (12.9–17.0)
15.3 (11.6–20.0)
168,000
75.7 (73.0–78.2)
75.5 (69.4–80.6)
South Carolina
1,114,000
28.2 (26.9–29.5)
25.0 (23.8–26.3)
172,000
15.5 (13.7–17.4)
13.6 (11.2–16.5)
760,000
68.8 (66.2–71.2)
64.7 (60.0–69.1)
South Dakota
176,000
26.7 (24.6–28.9)
24.1 (22.1–26.1)
32,000
18.0 (15.0–21.5)
18.1 (13.5–23.7)
120,000
69.2 (65.0–73.0)
70.2 (63.6–76.1)
Tennessee
1,598,000
30.6 (29.1–32.2)
28.0 (26.6–29.4)
241,000
15.2 (13.3–17.4)
16.2 (13.1–19.9)
1,071,000
67.9 (65.2–70.6)
66.5 (61.9–70.7)
Texas
4,398,000
20.7 (19.5–22.0)
20.1 (19.0–21.2)
602,000
13.9 (11.9–16.1)
13.9 (11.0–17.3)
3,125,000
72.0 (68.9–74.9)
69.4 (64.0–74.2)
Utah
519,000
23.1 (22.2–24.0)
24.0 (23.2–24.8)
85,000
16.5 (14.9–18.2)
17.6 (15.3–20.3)
366,000
71.7 (69.8–73.6)
71.2 (68.4–73.9)
Vermont
135,000
27.0 (25.6–28.6)
23.0 (21.7–24.4)
21,000
15.4 (13.4–17.5)
17.4 (13.3–22.6)
95,000
70.8 (67.9–73.6)
69.4 (63.2–75.0)
Virginia
1,730,000
26.3 (25.2–27.4)
24.0 (23.0–25.1)
286,000
16.6 (14.9–18.5)
17.7 (14.6–21.1)
1,206,000
70.7 (68.5–72.9)
71.6 (67.6–75.2)
Washington
1,439,000
24.6 (23.7–25.5)
22.5 (21.7–23.3)
248,000
17.3 (15.8–18.8)
17.0 (14.6–19.7)
1,007,000
70.8 (69.0–72.6)
71.5 (68.3–74.4)
West Virginia
585,000
41.4 (39.7–43.1)
36.4 (34.9–38.0)
73,000
12.4 (11.0–14.0)
12.1 (10.0–14.5)
383,000
66.1 (63.7–68.3)
65.4 (61.4–69.1)
Wisconsin
1,244,000
27.8 (26.3–29.3)
24.6 (23.3–26.0)
196,000
15.8 (13.7–18.1)
19.7 (15.3–25.0)
880,000
71.6 (68.8–74.2)
74.3 (69.6–78.5)
Wyoming
109,000
25.1 (23.5–26.8)
22.8 (21.3–24.3)
14,000
12.9 (10.8–15.3)
11.1 (8.3–14.7)
69,000
64.3 (60.8–67.7)
64.5 (58.0–70.5)
Guam
17,000
16.1 (14.0–18.5)
17.7 (15.6–20.0)
3,000
16.3 (12.5–21.0)
17.2 (12.2–23.6)
12,000
72.7 (64.3–79.8)
66.8 (57.0–75.3)
Puerto Rico 574,000 21.2 (20.0–22.4) 18.4 (17.4–19.4) 48,000 8.3 (6.8–10.2) 11.4 (7.8–16.4) 412,000 72.5 (69.5–75.3) 73.2 (67.5–78.2)

Abbreviations: CI = confidence interval; Est. = estimated; NA = not applicable.

* Estimates were age-standardized to the 2000 Projected U.S. Population aged ≥18 years using three age groups: 18−44, 45–64, and ≥65 years. https://www.cdc.gov/nchs/data/statnt/statnt20.pdf

Respondents were classified as attending a self-management education course if they answered “yes” to the question, “Have you ever taken an education course or class to teach you how to manage problems related to your arthritis or joint symptoms?”

§ Respondents were classified as receiving health care provider counseling to be physically active if they answered “yes” to the question, “Has a doctor or other health professional ever suggested physical activity or exercise to help your arthritis or joint symptoms?”

Respondents were classified as having arthritis if they responded “yes” to the question, “Have you ever been told by a doctor or other health care professional that you have arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?”

** In 2019, New Jersey did not collect enough data to meet the minimum requirement for inclusion in the Behavioral Risk Factor Surveillance System public-use data set.

†† Estimated number represents the weighted estimated number of adults with arthritis who reported the outcome of interest (e.g., health care provider counseling to be physically active and self-management education class attendance) rounded to the nearest thousand.

§§ Median calculated for 49 states and the District of Columbia.

TABLE 2. Overall, age-adjusted, and age-specific* prevalence of self-management education class attendance and receipt of health care provider counseling for physical activity§ among adults with arthritis aged ≥18 years, by selected characteristics — Behavioral Risk Factor Surveillance System, United States,** 2019.

Characteristic Unweighted sample size % (95% CI)
Self-management education class attendance Health care provider counseling for physical activity
Overall (unadjusted)
135,862
16.4 (15.9–16.8)
70.8 (70.3–71.2)
Overall (age-adjusted)
135,862
16.3 (15.9–16.7)
70.8 (70.3–71.3)
Age-specific estimates
Age group, yrs††
18–44
11,665
16.9 (15.7–18.1)
67.9 (66.4–69.4)
45–64
47,991
16.4 (15.8–17.1)
71.2 (70.4–71.9)
≥65
76,206
16.1 (15.5–16.7)
71.4 (70.8–72.1)
Age-adjusted estimates
Sex
Female
83,885
17.0 (16.5–17.6)
74.5 (73.9–75.1)
Male
51,977
15.4 (14.7–16.0)
65.3 (64.4–66.1)
Race/Ethnicity
White, NH
112,595
15.6 (15.2–16.0)
69.2 (68.7–69.7)
Black, NH
10,407
18.1 (16.8–19.5)
76.0 (74.5–77.5)
Hispanic
5,317
17.0 (15.0–19.2)
75.3 (72.9–77.5)
Asian, NH
1,174
20.9 (15.7–27.2)
75.1 (69.5–80.0)
American Indian or Alaska Native, NH
2,323
21.9 (17.7–26.8)
67.8 (63.2–72.0)
Other or multiple race, NH
4,046
21.1 (18.7–23.7)
72.6 (69.9–75.1)
Marital status
Married
67,122
16.0 (15.5–16.6)
70.7 (70.0–71.4)
Divorced, separated, or widowed
52,525
17.3 (16.6–18.1)
70.4 (69.6–71.2)
Never married
12,615
15.0 (13.7–16.5)
71.7 (70.1–73.3)
Member of an unmarried couple
2,906
15.8 (13.4–18.6)
71.0 (67.9–73.8)
Highest level of education
Less than high school graduate
10,894
12.8 (11.5–14.1)
67.2 (65.6–68.8)
High school graduate or equivalent
39,281
12.8 (12.1–13.5)
69.2 (68.3–70.1)
Technical school or some college
40,588
19.2 (18.4–20.0)
72.4 (71.5–73.2)
College degree or higher
44,763
18.9 (18.2–19.7)
72.6 (71.7–73.4)
Employment status
Employed or self-employed
42,601
14.8 (14.1–15.5)
67.7 (66.8–68.6)
Unemployed
4,487
13.4 (11.5–15.4)
69.6 (67.0–72.1)
Retired
62,828
17.6 (16.7–18.5)
72.6 (71.6–73.5)
Unable to work or disabled
18,080
19.3 (18.2–20.5)
73.6 (72.4–74.8)
Other (student or homemaker)
6,533
12.8 (11.4–14.3)
72.6 (70.4–74.7)
Federal poverty level§§
≤125% FPL
21,802
16.1 (15.1–17.2)
71.8 (70.6–73.0)
>125% to ≤200% FPL
21,593
15.9 (14.9–17.0)
70.7 (69.5–71.9)
>200% to ≤400% FPL
32,007
16.4 (15.6–17.2)
70.9 (69.9–71.9)
>400% FPL
34,014
17.1 (16.2–17.9)
70.6 (69.6–71.6)
Urban-rural status ¶¶
Large central metro
16,929
17.8 (16.7–18.9)
73.6 (72.3–74.9)
Large fringe metro
23,940
16.1 (15.2–16.9)
71.4 (70.3–72.4)
Medium metro
28,118
16.6 (15.9–17.4)
71.0 (70.1–71.9)
Small metro
19,627
16.2 (15.2–17.1)
68.4 (67.2–69.6)
Micropolitan
23,087
14.5 (13.7–15.4)
68.1 (66.9–69.2)
Rural (non-core)
24,161
14.7 (13.8–15.6)
66.0 (64.7–67.3)
Sexual orientation***
Straight
73,022
15.9 (15.3–16.4)
71.1 (70.4–71.8)
Lesbian, gay, bisexual, queer, or questioning
4,264
15.5 (13.0–18.5)
72.3 (69.5–75.0)
Engaged in physical activity in past month†††
Yes
87,299
18.0 (17.5–18.6)
73.1 (72.5–73.7)
No
42,960
12.9 (12.3–13.6)
66.5 (65.6–67.4)
Body mass index (kg/m2)
Underweight or healthy weight (<25)
32,173
16.4 (15.5–17.3)
66.9 (65.8–67.9)
Overweight (25 to <30)
43,153
16.2 (15.5–17.0)
69.4 (68.5–70.3)
Obesity (≥30)
50,837
16.5 (15.8–17.2)
74.5 (73.7–75.2)
Joint pain severity§§§
None/Mild
62,913
13.6 (13.0–14.2)
66.3 (65.5–67.0)
Moderate
32,184
17.8 (16.9–18.7)
74.7 (73.7–75.7)
Severe 38,465 19.1 (18.3–19.9) 74.5 (73.6–75.3)

Abbreviations: CI = confidence interval; FPL = federal poverty level; NH = non-Hispanic.

* Except for the age groups category and the unadjusted overall variables, age-adjusted estimates were generated in weighted logistic regression models that included age as a categorical covariate using the following cut points: 18−44, 45−64, and ≥65 years.

Respondents were classified as attending a self-management education course if they responded “yes” to the question, “Have you ever taken an education course or class to teach you how to manage problems related to your arthritis or joint symptoms?”

§ Respondents were classified as receiving health care provider counseling to be physically active if they responded “yes” to the question, “Has a doctor or other health professional ever suggested physical activity or exercise to help your arthritis or joint symptoms?”

Respondents were classified as having arthritis if they responded “yes” to the question, “Have you ever been told by a doctor or other health care professional that you have arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?”

** In 2019, New Jersey did not collect sufficient data to meet the minimum requirement for inclusion in the Behavioral Risk Factor Surveillance System public-use data set.

†† Age-specific estimates.

§§ Federal poverty level is the ratio of total family income to federal poverty guideline per family size.

¶¶ Urban-rural status was categorized using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties. https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf

*** Sexual orientation was asked in 30 states (Alaska, Arizona, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Louisiana, Maryland, Minnesota, Mississippi, Montana, New York, North Carolina, Ohio, Oklahoma, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, and Wisconsin).

††† Physical activity was defined using the question, “During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?”

§§§ For the question, “On a scale of 0 to 10 where 0 is no pain or aching and 10 is pain or aching as bad as it can be, during the past 30 days, how bad was your joint pain on average,” an answer of 0−4 was defined as none or mild, an answer of 5−6 was defined as moderate, and an answer of 7−10 was defined as severe.

Among adults with arthritis who reported having received counseling to be physically active, the median age-standardized prevalence was 69.3% (range = 59.9% [North Dakota] to 75.8% [Alaska]) (Table 1). The age-specific percentage of adults with arthritis who reported receipt of counseling was lowest among those aged 18–44 years (Table 2). Age-adjusted reporting of receipt of counseling was less prevalent among those physically inactive (66.5%) in the last 30 days than among those active (73.1%), among non-Hispanic American Indian or Alaska Native (67.8%) or non-Hispanic White (69.2%) persons than among Hispanic (75.3%), or non-Hispanic Asian or Black persons (75.1% and 76.0%, respectively), and among those employed (67.7%) or unemployed (69.6%) than among those who were retired (72.6%) or unable to work or disabled (73.6%). Prevalence of receiving counseling increased with increasing education, urbanicity, body mass index, and joint pain severity. Groups among which <67.0% had received counseling were men (65.3%), those residing in rural areas (66.0%), those who were inactive in the last 30 days (66.5%), those who were underweight or healthy weight (66.9%), and those who had no to mild joint pain (66.3%). Prevalence of receiving physical activity counseling was similar across federal poverty level, marital status, and sexual orientation categories. No clear regional patterns in the unadjusted and age-standardized prevalence of either self-management class attendance or counseling to be physically active were noted.

Discussion

The prevalence of self-management class attendance and receipt of health care provider counseling to be physically active among adults with arthritis varied considerably across states and by participant characteristics, with no clear regional patterns. Among adults with arthritis, self-management class attendance was low among all persons. The specific groups identified with low self-management class attendance and receipt of physical activity counseling were men, persons with a high school education or less, and those residing in small cities or rural areas. Opportunities for increasing health care provider counseling and interventions focused on improving self-management class attendance and physical activity among persons living with arthritis should continue for all, but especially for those groups with lower engagement in these activities.

The benefits of self-management courses and counseling to engage in physical activity are well established health goals for the nation, each of which was codified and evaluated in Healthy People 2020. The relevant Healthy People 2020 arthritis objective target*** of 11.7% of persons with arthritis attending self-management classes indicated slow progress and was almost attained in 2014 (11.4%) as reported in the National Health Interview Survey (NHIS) (4). Similarly, advancement toward the Healthy People 2020 arthritis objective target††† of 57.4% of adults with arthritis receiving physical activity counseling indicated good progress and was surpassed in the 2014 NHIS, when 61.0% of adults with arthritis reported receiving such counseling (5).

Among the known benefits of physical activity for adults with arthritis are improved mood, strength, and endurance and reduced arthritis-related joint pain, stiffness, and fatigue (6). Multiple professional organizations recommend that health care providers counsel adults with arthritis to engage in physical activity (7); however, a barrier commonly reported by providers is having insufficient training to counsel patients with arthritis (8). Health care providers can counsel patients about safely increasing physical activity using evidence-based, arthritis-appropriate, physical activity programs§§§ available in communities across the country. These include low-impact group aquatic exercise (e.g., Arthritis Foundation Aquatic Program); EnhanceFitness, which incorporates balance activities; Fit and Strong!, which emphasizes flexibility, strength training, aerobic walking and health education to promote behavior change; and Walk with Ease, which combines self-paced walks with instruction on health-related topics and can be delivered as a group or self-directed activity, both of which accommodate physical distancing, as recommended during the COVID-19 pandemic.

Recommending self-management class attendance while counseling persons with arthritis to engage in physical activity might be the most effective strategy for increasing physical activity. A health care provider’s recommendation to attend a self-management workshop is strongly associated with self-management class attendance (9). A meta-analysis of health outcomes, health behaviors, and health care utilization related to self-management programs found that persons with arthritis who received a health care provider recommendation to attend a self-management class were nine times more likely to attend a class than were those who did not receive a recommendation (10). The analysis found that aerobic physical activity increased after attendance in the generic, evidence-based self-management course¶¶¶ (Chronic Disease Self-Management Program [CDSMP]) and persisted for 1 year after attending the class (10). CDSMP is a workshop tailored to adults with chronic conditions (including arthritis) and other comorbidities which are also common among adults with arthritis (1); the workshop teaches improved self-efficacy and skills, resulting in better arthritis outcomes. Benefits of CDSMP include improved health status (e.g., reduced pain, and improved function and psychological health), improved health behaviors (e.g., increased physical activity, and improved healthful eating, pain-coping strategies, and medication adherence), and improved communication with health care providers. CDSMP is offered in a Spanish-language version (Tomando Control de su Salud) and virtually by the Better Choices, Better Health program.

The findings in this report are subject to at least three limitations. First, BRFSS data rely on self-report and might be subject to recall, social desirability, and other biases. Second, low response rates that differ by state might bias study findings; however, the weighting methodology accounts for nonresponse. Finally, the question to ascertain self-management class attendance did not establish whether respondents attended an evidence-based self-management course. A strength of this study is the use of recent data with a large sample size that allowed analyses of detailed characteristics in 49 states, DC, and two U.S. territories. In addition, the prevalence estimates generated are representative at the state level.

Self-management class attendance and health care provider counseling for physical activity varied by state and sociodemographic characteristics among adults with arthritis. Public health professionals and medical groups can help improve patient self-management behaviors and outcomes among patients with arthritis by equipping health care providers**** with the tools and information they need to counsel adults with arthritis to be active and recommend evidence-based physical activity and self-management programs.

Summary.

What is already known about this topic?

Arthritis is a prevalent chronic condition. Self-management education and health care provider counseling encouraging engagement in physical activity can improve the health of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively.

What is added by this report?

In 2019, a median of 16.2% adults with arthritis attended a self-management class, and 69.3% received provider counseling for physical activity. Prevalences differed by state and sociodemographic characteristics.

What are the implications for public health practice?

Equipping health care providers with the tools to counsel arthritis patients about the benefits of physical activity and self-management education and support referrals to evidence-based programs is needed to improve adoption of these behaviors.

All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Footnotes

In 2019, New Jersey did not collect sufficient data to meet the minimum requirement for inclusion in the BRFSS public-use data set.

**

Estimates were age-standardized to the 2000 U.S. Projected Population aged ≥18 years using three age groups: 18−44, 45–64, and ≥65 years to allow for state-to-state comparisons. https://www.cdc.gov/nchs/data/statnt/statnt20.pdf

††

Age-adjusted estimates were generated in weighted logistic regression models that included age as a categorical covariate with the following cut points: 18−44 years, 45–64 years, and ≥65 years.

¶¶

45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); Sect. U.S.C. Sect. 552a; 44 U.S.C. Sect. 3501 et seq.

***

Healthy People 2020 self-management education objective AOCBC-8, “Increase the proportion of adults with doctor-diagnosed arthritis who have had effective, evidence-based arthritis education as an integral part of the management of their condition.” https://www.healthypeople.gov/2020/topics-objectives/topic/Arthritis-Osteoporosis-and-Chronic-Back-Conditions/objectives

†††

Healthy People 2020 health care provider counseling for physical activity objective AOCBC-7.2, “Increase the proportion of adults with doctor-diagnosed arthritis who receive health care provider counseling for physical activity or exercise.” https://www.healthypeople.gov/2020/topics-objectives/topic/Arthritis-Osteoporosis-and-Chronic-Back-Conditions/objectives

References

  • 1.Barbour KE, Helmick CG, Boring M, Brady TJ. Vital signs: prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitation—United States, 2013–2015. MMWR Morb Mortal Wkly Rep 2017;66:246–53. 10.15585/mmwr.mm6609e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Barbour KE, Boring M, Helmick CG, Murphy LB, Qin J. Prevalence of severe joint pain among adults with doctor-diagnosed arthritis—United States, 2002–2014. MMWR Morb Mortal Wkly Rep 2016;65:1052–6. 10.15585/mmwr.mm6539a2 [DOI] [PubMed] [Google Scholar]
  • 3.CDC. Arthritis: lifestyle management programs. Atlanta, GA: US Department of Health and Human Services, CDC; 2021. https://www.cdc.gov/arthritis/interventions/index.htm
  • 4.Murphy LB, Brady TJ, Boring MA, et al. Self-management education participation among U.S. adults with arthritis: who’s attending? Arthritis Care Res (Hoboken) 2017;69:1322–30. 10.1002/acr.23129 [DOI] [PubMed] [Google Scholar]
  • 5.Hootman JM, Murphy LB, Omura JD, et al. Health care provider counseling for physical activity or exercise among adults with arthritis—United States, 2002 and 2014. MMWR Morb Mortal Wkly Rep 2018;66:1398–401. 10.15585/mmwr.mm665152a2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.2018 Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee scientific report. Washington, DC: U.S. Department of Health and Human Services; 2018. . https://health.gov/sites/default/files/2019-09/PAG_Advisory_Committee_Report.pdf [Google Scholar]
  • 7.Kolasinski SL, Neogi T, Hochberg MC, et al. 2019 American College of Rheumatology/Arthritis Foundation guideline for the management of osteoarthritis of the hand, hip, and knee. Arthritis Rheumatol 2020;72:220–33. 10.1002/art.41142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lillie K, Ryan S, Adams J. The educational needs of nurses and allied healthcare professionals caring for people with arthritis: results from a cross-sectional survey. Musculoskelet Care 2013;11:93–8. 10.1002/msc.1035 [DOI] [PubMed] [Google Scholar]
  • 9.Murphy LB, Theis KA, Brady TJ, Sacks JJ. Supporting self-management education for arthritis: Evidence from the Arthritis Conditions and Health Effects Survey on the influential role of health care providers. Chronic Illn 2021;17:217–31. 10.1177/1742395319869431 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Brady TJ, Murphy L, O’Colmain BJ, et al. A meta-analysis of health status, health behaviors, and health care utilization outcomes of the Chronic Disease Self-Management Program. Prev Chronic Dis 2013;10:120112. 10.5888/pcd10.120112 [DOI] [PMC free article] [PubMed] [Google Scholar]

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