Table 1 Baseline characteristics of lung cancer patients according to frailty status, NHIS 1997–2018.

From: Frailty as a predictor of mortality in lung cancer survivors: evidence from a nationally representative cohort NHIS 1997–2018

Characteristics

Robust

1133 (63.7%)

Pre-frail

233 (13.1%)

Frail

412 (23.2%)

P-value a

Age, years

67.7 (12.1)

68.3 (10.8)

70.6 (9.5)

0.003

Sex, %

   

0.146

 Women

586 (51.7)

106 (45.5)

198 (48.1)

 

 Men

547 (48.3)

127 (54.5)

214 (51.9)

 

Race/ethnicity, %

   

 < 0.001

 White

698 (61.6)

154 (66.1)

79 (19.2)

 

 Black

105 (9.3)

28 (12.0)

16 (3.9)

 

 Asian

8 (0.7)

1 (0.4)

0 (0.0)

 

 Other

322 (28.4)

50 (21.5)

317 (76.9)

 

Education level, %

   

0.014

  < High school

523 (46.2)

116 (49.8)

227 (55.1)

 

 High school graduate

221 (19.5)

40 (17.3)

67 (16.2)

 

  > High school

389 (34.3)

77 (32.9)

118 (28.7)

 

Health insurance, %

   

0.007

 Yes

1118 (98.7)

227 (97.4)

396 (96.1)

 

 No

15 (1.3)

6 (2.6)

16 (3.9)

 

Marital status, %

   

0.824

 Married

477 (42.1)

93 (39.9)

171 (41.5)

 

 Unmarried

656 (57.9)

140 (60.1)

241 (58.5)

 

Region, %

   

0.911

 Northeast

210 (19.1)

37 (16.1)

65 (17.5)

 

 Midwest

260 (23.6)

62 (27.0)

93 (24.9)

 

 South

436 (39.6)

90 (39.1)

149 (39.9)

 

 West

194 (17.6)

41 (17.8)

66 (17.7)

 

Depression, %

   

 < 0.001

 No

1093 (96.5)

212 (91.0)

381 (92.5)

 

 Yes

40 (3.5)

21 (9.0)

31 (7.5)

 

Time since cancer diagnosis

   

 < 0.001

  < 2 years

140 (12.4%)

42 (18.1%)

108 (26.3%)

 

  ≥ 2 years

993 (87.6%)

191 (81.9%)

304 (73.7%)

 

Number of cancer diagnoses

   

 < 0.001

 1

992 (87.5%)

197 (84.7%)

321 (78.0%)

 

  ≥ 2

141 (12.5%)

36 (15.3%)

91 (22.0%)

 

Number of comorbidities

   

 < 0.001

 0–1

700 (61.8%)

120 (51.5%)

100 (24.3%)

 

 2–3

300 (26.5%)

80 (34.3%)

180 (43.7%)

 

  ≥ 4

133 (11.7%)

33 (14.2%)

132 (32.0%)

 
  1. Values are means (SDs) for continuous variables and percentages for categorical variables.
  2. a Group differences were assessed using analysis of variance (ANOVA) for continuous variables and the chi-square test for categorical variables.