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. 2015 Nov 11;10:2459–2467. doi: 10.2147/COPD.S89672

Table 1.

Screening population demographics and COPD status

Characteristic Non-COPD population COPD cohorts
Definitea
Possibleb
Smoking history
Smoking history
Current (n=36) Former (n=32) Never (n=69) P-value Current (n=172) Former (n=95) P-value
Sex, n (%) <0.001c 0.895d
 Male 2,905 (46.9) 33 (91.7) 27 (84.4) 22 (31.9) 153 (89.0) 84 (88.4)
 Female 3,219 (53.1) 3 (8.3) 5 (15.6) 47 (68.1) 19 (11.0) 11 (11.6)
Age (years)
 Mean ± SD 56.6±11.7 59.4±13.5 64.3±12.4 63.4±12.2 0.217e 51.1±9.9 56.4±11.2 <0.001f
 Median 54.5 55.0 64.0 62.0 0.129g 48.5 54.0 <0.001g
Age group(years), n (%) 0.142h <0.002i
 40–49 2,027 (32.7) 8 (22.2) 2 (6.3) 11 (15.9) 97 (56.4) 33 (34.7)
 50–59 1,978 (31.9) 15 (41.6) 10 (31.3) 19 (27.5) 47 (27.3) 30 (31.6)
 60–69 1,166 (18.8) 4 (11.1) 10 (31.3) 12 (17.4) 15 (8.7) 16 (16.8)
 ≥70 1,025 (16.5) 9 (25.0) 10 (31.3) 27 (39.1) 13 (7.6) 16 (16.8)

Notes:

a

COPD reported to have been clinically diagnosed by a pulmonary specialist.

b

Respiratory symptoms that fulfill the epidemiological case definition of COPD and ever-smoker.

c

2×3 chi-square test.

d

2×2 chi-square test.

e

One-way ANOVA.

f

Two-sample t-test.

g

Kruskal–Wallis test.

h

3×7 chi-square test.

i

2×7 chi-square test.

Abbreviations: ANOVA, analysis of variance; SD, standard deviation.