Multivariable logistic regression associating socio-demographic characteristics with nutrition label experience
| Nutrition label experience (OR, 95%CI) | |||
|---|---|---|---|
| Socio-demographic characteristics | Read | Good understanding | Frequent use |
| Sex | |||
| Male | 1.0 | 1.0 | 1.0 |
| Female | 1.79 (1.68-1.92)*** | 1.01 (0.97-1.06) | 1.65 (1.58-1.73)*** |
| Age group (years) | |||
| 23-34 | 1.0 | 1.0 | 1.0 |
| 35-49 | 1.19 (1.11-1.28)*** | 1.17 (1.12-1.23)*** | 1.22 (1.16-1.28)*** |
| ⩾50 | 1.19 (1.07-1.32)** | 1.57 (1.45-1.69)*** | 1.39 (1.29-1.49)*** |
| Location | |||
| Rural | 1.0 | 1.0 | 1.0 |
| Urban | 0.86 (0.81-0.93)*** | 0.89 (0.85-0.93)*** | 0.97 (0.93-1.02) |
| Region | |||
| Central-East | 1.0 | 1.0 | 1.0 |
| Bangkok | 0.91 (0.83-1.00)* | 0.88 (0.82-0.94)*** | 0.92 (0.86-0.98)* |
| North | 1.20 (1.10-1.32)*** | 1.20 (1.12-1.27)*** | 1.31 (1.23-1.39)*** |
| Northeast | 1.14 (1.04-1.25)** | 1.12 (1.05-1.19)*** | 1.24 (1.17-1.32)*** |
| South | 1.25 (1.11-1.40)*** | 1.20 (1.11-1.29)*** | 1.21 (1.13-1.31)*** |
| Religion | |||
| Buddhist | 1.0 | 1.0 | 1.0 |
| Muslim | 1.09 (0.90-1.32) | 1.04 (0.92-1.18) | 1.15 (1.02-1.30)* |
| Christian | 0.84 (0.67-1.05) | 1.09 (0.92-1.28) | 0.98 (0.83-1.14) |
| Other/no religion | 1.12 (0.53-2.35) | 1.26 (0.74-2.14) | 0.74 (0.46-1.20) |
| Household size (people) | |||
| 1 | 1.0 | 1.0 | 1.0 |
| 2-4 | 0.95 (0.84-1.09) | 1.02 (0.93-1.12) | 0.94 (0.86-1.03) |
| 5-15 | 0.97 (0.84-1.11) | 1.01 (0.91-1.11) | 1.00 (0.91-1.09) |
| Education | |||
| Non university | 1.0 | 1.0 | 1.0 |
| University | 1.05 (0.97-1.14) | 1.14 (1.08-1.21)*** | 0.96 (0.91-1.02) |
| Occupation | |||
| Worker | 1.0 | 1.0 | 1.0 |
| Manager | 0.98 (0.87-1.09) | 1.17 (1.08-1.26)*** | 1.08 (1.00-1.17)* |
| Professional | 1.10 (1.00-1.23) | 1.30 (1.21-1.40)*** | 1.17 (1.09-1.25)*** |
| Office assistant | 0.92 (0.84-1.01) | 0.93 (0.88-0.99)* | 0.99 (0.93-1.05) |
| Not working/retired | 1.16 (0.99-1.35) | 1.08 (0.97-1.19) | 1.08 (0.98-1.19) |
| Unidentified | 1.09 (0.89-1.32) | 1.16 (1.02-1.33)* | 1.26 (1.11-1.43)*** |
| Monthly income (baht) | |||
| <10,000 | 1.0 | 1.0 | 1.0 |
| 10,001-20,000 | 1.01 (0.92-1.10) | 0.98 (0.92-1.04) | 0.98 (0.92-1.04) |
| 20,001-30,000 | 1.02 (0.92-1.13) | 1.07 (1.00-1.15) | 1.00 (0.93-1.07) |
| >30,000 | 1.05 (0.94-1.18) | 1.17 (1.08-1.27)*** | 1.01 (0.93-1.09) |
| Nutrition label experience (OR, 95%CI) | |||
|---|---|---|---|
| Socio-demographic characteristics | Read | Good understanding | Frequent use |
| Male | 1.0 | 1.0 | 1.0 |
| Female | 1.79 (1.68-1.92)*** | 1.01 (0.97-1.06) | 1.65 (1.58-1.73)*** |
| 23-34 | 1.0 | 1.0 | 1.0 |
| 35-49 | 1.19 (1.11-1.28)*** | 1.17 (1.12-1.23)*** | 1.22 (1.16-1.28)*** |
| ⩾50 | 1.19 (1.07-1.32)** | 1.57 (1.45-1.69)*** | 1.39 (1.29-1.49)*** |
| Rural | 1.0 | 1.0 | 1.0 |
| Urban | 0.86 (0.81-0.93)*** | 0.89 (0.85-0.93)*** | 0.97 (0.93-1.02) |
| Central-East | 1.0 | 1.0 | 1.0 |
| Bangkok | 0.91 (0.83-1.00)* | 0.88 (0.82-0.94)*** | 0.92 (0.86-0.98)* |
| North | 1.20 (1.10-1.32)*** | 1.20 (1.12-1.27)*** | 1.31 (1.23-1.39)*** |
| Northeast | 1.14 (1.04-1.25)** | 1.12 (1.05-1.19)*** | 1.24 (1.17-1.32)*** |
| South | 1.25 (1.11-1.40)*** | 1.20 (1.11-1.29)*** | 1.21 (1.13-1.31)*** |
| Buddhist | 1.0 | 1.0 | 1.0 |
| Muslim | 1.09 (0.90-1.32) | 1.04 (0.92-1.18) | 1.15 (1.02-1.30)* |
| Christian | 0.84 (0.67-1.05) | 1.09 (0.92-1.28) | 0.98 (0.83-1.14) |
| Other/no religion | 1.12 (0.53-2.35) | 1.26 (0.74-2.14) | 0.74 (0.46-1.20) |
| 1 | 1.0 | 1.0 | 1.0 |
| 2-4 | 0.95 (0.84-1.09) | 1.02 (0.93-1.12) | 0.94 (0.86-1.03) |
| 5-15 | 0.97 (0.84-1.11) | 1.01 (0.91-1.11) | 1.00 (0.91-1.09) |
| Non university | 1.0 | 1.0 | 1.0 |
| University | 1.05 (0.97-1.14) | 1.14 (1.08-1.21)*** | 0.96 (0.91-1.02) |
| Worker | 1.0 | 1.0 | 1.0 |
| Manager | 0.98 (0.87-1.09) | 1.17 (1.08-1.26)*** | 1.08 (1.00-1.17)* |
| Professional | 1.10 (1.00-1.23) | 1.30 (1.21-1.40)*** | 1.17 (1.09-1.25)*** |
| Office assistant | 0.92 (0.84-1.01) | 0.93 (0.88-0.99)* | 0.99 (0.93-1.05) |
| Not working/retired | 1.16 (0.99-1.35) | 1.08 (0.97-1.19) | 1.08 (0.98-1.19) |
| Unidentified | 1.09 (0.89-1.32) | 1.16 (1.02-1.33)* | 1.26 (1.11-1.43)*** |
| <10,000 | 1.0 | 1.0 | 1.0 |
| 10,001-20,000 | 1.01 (0.92-1.10) | 0.98 (0.92-1.04) | 0.98 (0.92-1.04) |
| 20,001-30,000 | 1.02 (0.92-1.13) | 1.07 (1.00-1.15) | 1.00 (0.93-1.07) |
| >30,000 | 1.05 (0.94-1.18) | 1.17 (1.08-1.27)*** | 1.01 (0.93-1.09) |
Notes: n=42,750. Models are adjusted for all socio-demographic characteristic. *p<0.05; **p<0.01; ***p<0.001
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