Table 2.
SEAR |
WPR |
AMR |
EUR |
EMR |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
India N = 12,561 |
Bangladesh N = 1663 |
Thailand N = 4999 |
China N = 1711 |
Philippines N = 2083 |
Viet Nam N = 2373 |
Brazil N = 12,912 |
Mexico N = 2026 |
Uruguay N = 1805 |
Poland N = 2973 |
Romania N = 1174 |
Russian Federation N = 5426 |
Turkey N = 2007 |
Ukraine N = 2741 |
Egyptb N = 4365 |
|
Smoke-free at work | |||||||||||||||
Yes |
2.09 [1.77, 2.46] |
1.71 [1.22, 2.41] |
1.52 [1.20, 1.93] |
2.29 [1.37, 3.83] |
2.15 [1.65, 2.79] |
1.97 [1.45, 2.67] |
1.35 [1.20, 1.51] |
1.29 [0.98, 1.70] |
1.12 [0.79, 1.58] |
1.45 [1.18, 1.79] |
1.99 [1.43, 2.76] |
1.55 [1.30, 1.85] |
1.64 [1.28, 2.11] |
1.75 [1.41, 2.18] |
1.30 [1.09, 1.54] |
No | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) |
Age (yrs) | |||||||||||||||
1.02 [1.01, 1.03] |
1.01 [0.99, 1.02] |
1.02 [1.01, 1.04] |
1.00 [0.98, 1.03] |
1.00 [0.99, 1.01] |
1.02 [1.01, 1.03] |
1.01 [1.003, 1.011] |
0.99 [0.98, 1.00] |
1.02 [1.01, 1.03] |
0.99 [0.98, 1.00] |
1.01 [0.99, 1.02] |
0.99 [0.98, 1.00] |
1.02 [1.01, 1.03] |
1.01 [0.99, 1.02] |
1.02 [1.01, 1.03] |
|
Gender | |||||||||||||||
Male | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) |
Female |
0.63 [0.53, 0.76] |
0.52 [0.33, 0.83] |
0.93 [0.73, 1.17] |
0.89 [0.46, 1.73] |
0.84 [0.66, 1.07] |
0.73 [0.52,1.02] |
0.84 [0.76, 0.93] |
1.07 [0.82, 1.38] |
0.89 [0.73, 1.09] |
0.71 [0.59, 0.87] |
0.76 [0.57, 1.03] |
0.52 [0.43, 0.63] |
0.62 [0.45, 0.85] |
0.52 [0.41, 0.66] |
0.58 [0.48, 0.71] |
Residence | |||||||||||||||
Urban |
1.57 [1.32, 1.85] |
1.28 [0.92, 1.77] |
1.31 [1.04, 1.64] |
2.05 [1.21, 3.48] |
3.06 [2.31, 4.04] |
2.01 [1.46, 2.77] |
1.28 [1.01, 1.63] |
1.03 [0.73, 1.44] |
0.81 [0.60, 1.10] |
1.09 [0.86, 1.39] |
0.48 [0.33, 0.69] |
0.75 [0.60, 0.93] |
1.06 [0.81, 1.38] |
0.77 [0.60, 0.99] |
1.31 [1.08, 1.60] |
Rural | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) |
Education | |||||||||||||||
Primary | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | – | 1 (Ref) | 1 (Ref) | 1 (Ref) | – | – | 1 (Ref) | – | 1 (Ref) |
Secondary |
1.58 [1.34, 1.86] |
1.54 [1.12, 2.13] |
1.86 [1.46, 2.37] |
1.43 [0.70, 2.92] |
1.70 [1.13, 2.56] |
1.60 [1.08, 2.36] |
– | 0.81 [0.57, 1.15] |
0.98 [0.72, 1.33] |
0.76 [0.47, 1.24] |
1 (Ref) | 1 (Ref) | 0.98 [0.77, 1.26] |
1 (Ref) | 1.23 [0.97, 1.57] |
Tertiary |
2.26 [1.83, 2.78] |
2.90 [1.76, 4.78] |
2.54 [1.92, 3.36] |
1.47 [0.56, 3.87] |
2.39 [1.58, 3.62] |
0.99 [0.33, 3.02] |
– | 0.73 [0.49, 1.10] |
1.06 [0.70, 1.60] |
1.05 [0.63, 1.74] |
1.13 [0.82, 1.55] |
1.04 [0.88, 1.23] |
1.61 [1.14, 2.28] |
1.30 [1.03, 1.65] |
1.60 [1.23, 2.09] |
Occupation | |||||||||||||||
Employed | 0.99 [0.85, 1.15] |
1.41 [1.02, 1.93] |
0.86 [0.66, 1.14] |
– |
0.74 [0.55, 0.99] |
1.35 [0.97, 1.87] |
1.05 [0.94, 1.17] |
0.89 [0.61,1.30] |
1.08 [0.78, 1.49] |
1.04 [0.81, 1.35] |
0.44 [0.27, 0.72] |
0.96 [0.71, 1.32] |
0.88 [0.66, 1.16] |
0.86 [0.59, 1.28] |
0.88 [0.67, 1.15] |
Self employed | 1 (Ref) | 1 (Ref) | 1 (Ref) | – | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) |
Current smoking | |||||||||||||||
Yes | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) |
No |
4.49 [3.62, 5.57] |
2.50 [1.81, 3.47] |
3.07 [2.34, 4.02] |
1.67 [0.76, 3.65] |
2.84 [2.05, 3.92] |
2.04 [1.35, 3.06] |
4.53 [3.98, 5.16] |
1.62 [1.20, 2.19] |
4.18 [3.09, 5.66] |
6.07 [4.87, 7.57] |
3.78 [2.74, 5.22] |
3.58 [2.93, 4.37] |
2.47 [1.91, 3.19] |
4.25 [3.38, 5.35] |
7.64 [6.04, 9.67] |
Current smokeless tobacco use | |||||||||||||||
Yes | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | 1 (Ref) | – | 1 (Ref) | – | 1 (Ref) | – | 1 (Ref) | 1 (Ref) |
No |
1.84 [1.54, 2.20] |
1.16 [0.77, 1.75] |
1.64 [0.50, 5.40] |
0.68 [0.09, 5.38] |
1.73 [0.48, 6.31] |
0 .22 [0.03, 1.59] |
2.25 [0.78, 6.48] |
3.12 [0.83,11.68] |
– | 0.36 [0.06, 2.25] |
– | 2.29 [0.78, 6.68] |
– | 0.86 [0.10, 7.72] |
0.90 [0.44, 1.86] |
Number of household members | |||||||||||||||
0.96 [0.93, 0.99] |
0.91 [0.84, 0.99] |
0.94 [0.89, 1.00] |
1.12 [0.88, 1.42] |
0.94 [0.88, 0.99] |
0.90 [0.81, 0.99] |
0.98 [0.95, 1.02] |
0.99 [0.92, 1.06] |
0.99 [0.90, 1.10] |
1.01 [0.93, 1.08] |
1.17 [1.03, 1.32] |
1.09 [1.01, 1.17] |
0.96 [0.90, 1.02] |
1.11 [1.01, 1.21] |
0.91 [0.85, 0.96] |
Bold values indicate a significant association between the independent variable and the dependent variable, compared with the reference category (p < 0.05).
Adjusted odds ratios and 95% CIs obtained from country-specific individual-level multiple logistic regression models adjusted for age, gender, place of residence, education, occupation, current smoking, current smokeless tobacco use and number of household members. A country-specific region variable was also included in the models for India, Thailand, China, Brazil, Poland and Ukraine (not shown in the table to maintain uniformity as regions varied by country).
Region variable was excluded from the country-specific regression model in Egypt due to collinearity (VIF > 13).