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Table 1 Demographic, anthropometric and clinical characteristics – a comparison between cancer survivors and the general population

From: Quantifying dietary acid load in U.S. cancer survivors: an exploratory study using NHANES data

 

General population

n = 17,969

Cancer Survivors:

n = 1444

p a

Gender

  

< 0.001

 Male

n = 8783 (48.66)

n = 632 (37.21) c

 

 Female

n = 9186 (51.34)

n = 812 (62.79) c

Ethnicity

  

< 0.001

 Mexican American

n = 2781 (8.75)

n = 106 (3.04) c

 

 Other Hispanic

n = 1800 (5.48)

n = 96 (2.80) c

 Non-Hispanic White

n = 7730 (66.94)

n = 911 (83.35) c

 Non-Hispanic Black

n = 3918 (11.76)

n = 266 (7.40) c

 Other Race - Including Multi-Racial

n = 1740 (7.06)

n = 65 (3.22) c

Marital Status

  

< 0.001

 Married/living with a partner

n = 10,570 (62.97)

n = 870 (65.19)

 

 Widowed/Divorced/Separated

n = 3842 (17.28)

n = 477 (28.59) c

 Never married

n = 3557 (19.74)

n = 97 (6.21) c

Annual household income

  

0.586

 Under $20,000

n = 4000 (15.05)

n = 354 (15.69)

 

 Over $20,000

n = 13,969 (84.95)

n = 1090 (84.31)

Education level

  

0.144

 Less than 9th grade

n = 1799 (5.29)

n = 152 (5.04)

 

 9-11th grade b

n = 2756 (11.82)

n = 216 (10.78)

 High school graduate/GED or equivalent

n = 4136 (22.68)

n = 314 (20.46)

 Some college or AA degree

n = 5252 (31.50)

n = 404 (31.69)

 College graduate or above

n = 4026 (28.71)

n = 358 (32.02) c

 Age (in years)

45.36 (0.28)

61.75 (0.51)

< 0.001 d

 Body mass index (in kg/m2)

n = 28.85 (0.08)

n = 29.20 (0.26)

0.210

  1. Categorical variables are shown as n (weighted %), continuous variables as means (standard error)
  2. a The p-value is based on a design-based Rao-Scott F-Test and tests for a potential association between cancer survivor status and the respective demographic, anthropometric or clinical characteristics (available for categorical variables only)
  3. b includes 12th grade without diploma
  4. c indicates significant differences in the proportions
  5. d indicates significant differences in the means