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Table 2 Comparison of characteristics in stroke survivors using or not using complementary medicine. Weighted data are representative for the civilian non-institutionalized population of the United States and do not reflect raw study numbers

From: Complementary medicine use in stroke survivors: a US nationally representative survey

Characteristics

Not using complementary medicine (weighted n = 5,515,753)

Using complementary medicine (weighted n = 2,242,068)

P-value

Age (Mean ± Standard deviation)

66.4 ± 13.9

63.2 ± 15.0

0.003

Sex

  

< 0.001

 Male

3,238,970 (58.7%)

922,430 (41.1%)

 

 Female

2,276,783 (41.3%)

1,319,638 (58.9%)

 

Ethnicity

  

0.889

 Non-Hispanic White

3,708,535 (67.2%)

1,500,790 (66.9%)

 

 Hispanic

733,847 (13.3%)

288,221 (12.9%)

 

 African American

588,816 (10.7%)

282,995 (12.6%)

 

 Asian

346,958 (6.3%)

123,572 (5.5%)

 

 Other

137,597 (2.5%)

46,490 (2.1%)

 

Region

  

0.045

 West

987,169 (17.9%)

573,036 (25.6%)

 

 Northeast

833,991 (15.1%)

268,138 (12.0%)

 

 Midwest

1,351,488 (24.5%)

592,014 (26.4%)

 

 South

2,343,105 (42.5%)

808,880 (36.1%)

 

Education

  

< 0.001

 Less than college

2,870,634 (53.0%)

848,888 (37.9%)

 

 Some college or more

2,549,795 (47.0%)

1,389,401 (62.1%)

 

Employment

  

0.135

 Not employed

4,435,507 (80.4%)

1,696,505 (75.7%)

 

 Employed

1,080,246 (19.6%)

545,563 (24.3%)

 

Marital status

  

0.110

 Not in a relationship

2,710,014 (49.1%)

961,537 (42.9%)

 

 In a relationship

2,805,739 (50.9%)

1,280,531 (57.1%)

 

Health insurance

  

0.491

 Not insured

262,574 (4.8%)

132,942 (5.9%)

 

 Insured

5,253,179 (95.2%)

2,109,126 (94.1%)

 
  1. Weighted frequencies or means are reported; P-values are derived from chi-squared tests, Fisher’s exact tests or unpaired t-tests using relative weights
  2. Data Source: National Center for Health Statistics, National Health Interview Survey, 2017