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. 2017 Sep 21;6(10):2440–2452. doi: 10.1002/cam4.1170

Table 3.

Odds ratios for presenting with advanced‐stage (IIIB‐IV) lung cancer by individual‐ and area‐level SES indices and demographic variables stratified by sex, 2005–2014, n = 7013

Male Female Both
OR (95% CI)a P Adjusted OR P OR (95% CI)a P Adjusted OR P OR (95% CI)a Adjusted OR P
(95% CI)b (95% CI)c (95% CI)d
Age at diagnosis, years
<50 1.00 1.00 1.00 1.00 1.00 1.00
50–74 0.66 (0.53–0.84) <0.001 0.70 (0.55–0.90) 0.006 0.53 (0.39–0.72) <0.001 0.67 (0.49–0.91) 0.001 0.60 (0.50–0.73) <0.001 0.67 (0.55–0.81) <0.001
≥75 0.62 (0.48–0.80) <0.001 0.67 (0.51–0.88) 0.004 0.40 (0.28–0.57) <0.001 0.58 (0.39–0.86) <0.001 0.54 (0.44–0.66) <0.001 0.62 (0.50–0.78) <0.001
Marital status
Single 1.00 1.00 1.00
Widowed/Divorced 1.15 (0.42–3.15) 0.785 0.88 (0.16–4.87) 0.879 1.05 (0.45–2.48) 0.905
Married 1.37 (0.78–2.40) 0.278 1.42 (0.41–4.86) 0.580 1.38 (0.83–2.31) 0.216
Body mass index
<25 1.00 1.00 1.00 1.00 1.00 1.00
25–30 0.73 (0.62–0.87) <0.001 0.77 (0.65–0.92) 0.004 0.73 (0.56–0.94) 0.015 0.80 (0.61–1.05) 0.120 0.73 (0.64–0.84) <0.001 0.78 (0.68–0.91) 0.001
≥30 0.25 (0.11–0.56) <0.001 0.31 (0.13–0.71) 0.006 0.99 (0.47–2.11) 0.979 1.12 (0.50–2.51) 0.787 0.48 (0.28–0.80) 0.006 0.56 (0.32–0.98) 0.043
Medical insurance type
UBMI 1.00 1.00 1.00 1.00 1.00 1.00
NRCMI 1.14 (0.99–1.33) 0.076 0.97 (0.80–1.17) 0.731 1.37 (1.07–1.75) 0.012 1.06 (0.77–1.44) 0.786 1.20 (1.06–1.37) 0.004 0.99 (0.84–1.16) 0.829
Commercial insurance 0.29 (0.17–0.50) <0.001 0.65 (0.37–1.16) 0.139 0.32 (0.12–0.84) 0.022 0.77 (0.28–2.17) 0.655 0.29 (0.18–0.47) <0.001 0.69 (0.42–1.14) 0.144
Social medicine 2.04 (1.29–3.21) 0.002 1.34 (0.84–2.14) 0.232 2.66 (0.97–7.31) 0.058 1.64 (0.57–4.69) 0.379 2.14 (1.41–3.24) <0.001 1.38 (0.90–2.12) 0.142
Self pay 0.98 (0.84–1.14) 0.759 0.86 (0.73–1.02) 0.081 0.96 (0.74–1.24) 0.750 0.78 (0.59–1.04) 0.080 0.97 (0.85–1.11) 0.651 0.83 (0.72–0.96) 0.012
Others 0.31 (0.13–0.76) 0.010 0.36 (0.14–0.92) 0.032 0.34 (0.09–1.19) 0.091 0.54 (0.14–2.04) 0.377 0.32 (0.15–0.66) 0.002 0.40 (0.19–0.86) 0.018
Smoking
Never smoker 1.00 1.00 1.00 1.00 1.00 1.00
Ex‐smoker 0.76 (0.64–0.90) 0.002 1.05 (0.87–1.27) 0.678 0.65 (0.31–1.37) 0.257 1.21 (0.53–2.74) 0.650 0.85 (0.73–0.98) 0.029 1.13 (0.96–1.32) 0.145
Current smoker 0.65 (0.56–0.74) <0.001 0.69 (0.60–0.80) <0.001 0.37 (0.21–0.65) <0.001 0.83(0.45–1.52) 0.544 0.72 (0.65–0.80) <0.001 0.74 (0.66–0.82) <0.001
Drinking
Yes 1.00 1.00 1.00
No 1.00 (0.89–1.12) 0.969 1.49 (0.85–2.59) 0.164 1.03 (0.93–1.14) 0.586
History of respiratory diseases
Yes 1.00 1.00 1.00 1.00 1.00
No 1.18 (0.95–1.46) 0.138 2.70 (1.58–4.61) <0.001 2.50 (1.39–4.48) 0.002 1.35 (1.11–1.64) 0.003 1.40 (1.14–1.73) 0.002
Educational level
illiterate 1.00 1.00 1.00 1.00 1.00 1.00
Primary school 0.95 (0.76–1.18) 0.624 0.72 (0.57–0.91) 0.006 0.78 (0.57–1.08) 0.136 0.62 (0.44–0.88) 0.006 0.87 (0.73–1.05) 0.143 0.69 (0.57–0.84) <0.001
Middle school 0.97 (0.78–1.20) 0.776 0.70 (0.55–0.89) 0.003 0.75 (0.53–1.05) 0.089 0.59 (0.40–0.85) 0.004 0.88 (0.73–1.05) 0.144 0.68 (0.56–0.82) <0.001
High school 0.82 (0.64–1.04) 0.098 0.56 (0.43–0.73) <0.001 0.87 (0.58–1.30) 0.483 0.74 (0.47–1.16) 0.166 0.78 (0.64–0.96) 0.018 0.59 (0.47–0.74) <0.001
College degree or above 0.99 (0.75–1.31) 0.951 0.58 (0.42–0.79) <0.001 0.91 (0.57–1.45) 0.684 0.63 (0.37–1.07) 0.064 0.93 (0.74–1.18) 0.555 0.60 (0.46–0.79) <0.001
Occupational level
Farmer 1.00 1.00 1.00 1.00 1.00 1.00
Nonfarmer 0.92 (0.82–1.03) 0.156 0.97 (0.83–1.14) 0.716 0.75 (0.62–0.92) 0.005 0.84 (0.65–1.09) 0.201 0.87 (0.78–0.96) 0.006 0.94 (0.82–1.07) 0.362
Area SES tertile
1 (lowest) 1.00 1.00 1.00 1.00 1.00 1.00
2 1.30 (1.13–1.49) <0.001 1.53 (1.32–1.78) <0.001 1.18 (0.93–1.49) 0.180 1.67 (1.28–2.20) <0.001 1.26 (1.12–1.42) <0.001 1.57 (1.38–1.79) <0.001
3 (highest) 0.35 (0.30–0.40) <0.001 0.37 (0.32–0.44) <0.001 0.29 (0.23–0.36) <0.001 0.39 (0.30–0.50) <0.001 0.33 (0.29–0.37) <0.001 0.37 (0.33–0.42) <0.001

OR, odd ratio; CI, confidence interval.

a

Result of univariate methods before multiple logistic regression analysis.

b

Adjusted for age, BMI, medical insurance type, smoking, educational level, occupational level, and area‐level SES of men in binary logistic regression model.

c

Adjusted for age, BMI, medical insurance type, smoking, history of respiratory diseases, educational level, occupational level, and area‐level SES of women in binary logistic regression model.

d

Adjusted for age, BMI, medical insurance type, smoking, history of respiratory diseases, educational level, occupational level, and area‐level SES of the whole population in binary logistic regression model.