Table 4.
Binary logistic regression analysis for factors associated with cigarette and pipe smoking, SLT use/snuffing by mouth and any tobacco use among women
| Adjusted OR (95% CI) | |||
|---|---|---|---|
| Characteristics | Cigarette and tobacco pipe smoking | Tobacco dipping/snuff | Any tobacco use |
| Age | 1.07 (1.06 to 1.08)*** | 1.09 (1.08 to 1.10)*** | 1.08 (1.07 to 1.09)*** |
| Ethnicity | |||
| Pashtun | 1.06 (0.83 to 1.36) | 1.09 (0.83 to 1.43) | 1.17 (0.96 to 1.43) |
| Tajik | 1.29 (1.01 to 1.65)* | 1.01 (0.77 to 1.32) | 1.37 (1.12 to 1.67)** |
| Hazara | 0.20 (0.13 to 0.32)*** | 0.49 (0.33 to 0.71)*** | 0.39 (0.29 to 0.52)*** |
| Uzbek | 0.33 (0.23 to 0.46)*** | 0.23 (0.15 to 0.35)*** | 0.31 (0.23 to 0.41)*** |
| Residence: urbana | 0.93 (0.75 to 1.16) | 0.51 (0.35 to 0.76)** | 0.81 (0.67 to 0.99)* |
| Education | 0.69 (0.56 to 0.84)*** | 0.67 (0.48 to 0.95)* | 0.68 (0.57 to 0.81)*** |
| Wealth | 0.81 (0.76 to 0.86)*** | 0.61 (0.56 to 0.66)*** | 0.74 (0.70 to 0.78)*** |
| Occupationb | |||
| Professional | 1.58 (1.20 to 2.08)** | 0.70 (0.41 to 1.21) | 1.33 (1.03 to 1.71) |
| Sales and clerical | 1.81 (0.56 to 5.83) | 0.87 (0.12 to 6.59) | 1.16 (0.36 to 3.78) |
| Agriculture | 1.01 (0.64 to 1.58) | 4.31 (3.21 to 5.78)*** | 2.46 (1.89 to 3.21)*** |
| Skilled and unskilled | 2.41 (1.86 to 3.12)*** | 3.14 (2.35 to 4.18)*** | 2.77 (2.24 to 3.43)*** |
| manual labour | |||
| Media exposure | |||
| Radio | 0.88 (0.81 to 0.96)** | 0.85 (0.76 to 0.95)** | 0.87 (0.81 to 0.93)*** |
| Newspapers and magazines | 1.04 (0.73 to 1.48) | 1.03 (0.51 to 2.10) | 1.06 (0.77 to 1.47) |
| Television | 1.04 (0.96 to 1.12) | 0.97 (0.88 to 1.06) | 1.03 (0.96 to 1.10) |
| Nagelkerke R2 | 0.10 | 0.18 | 0.14 |
aReference group: rural.
bReference group: unemployed.
* <.05
** <.01
*** <.001