Estimated odds ratios from the three-level logistic models
| Model 1 (all surveys together) | Model 2 (2012 survey) | Model 3 (2013 survey) | Model 4 (2017 survey) | Model 5 (2015 and 2017 surveys) | |
|---|---|---|---|---|---|
| Fixed effects | |||||
| Gender | 0.974 | 1.035 | 0.932 | 0.867*** | 0.958 |
| Age_centred | 0.995*** | 0.996** | 0.991*** | 0.993** | 0.995*** |
| Age_ centred squared | 1.000*** | 1.000*** | 1.000** | 0.999*** | 1.000*** |
| Household size | 0.973** | 0.965 | 0.953* | 1.005 | 0.973 |
| Rural | 0.964 | 1.130 | 1.013 | 1.033 | 0.877 |
| Small town | 1.033 | 1.039 | 1.009 | 1.061 | 0.963 |
| Single with children | 0.922 | 1.034 | 1.153 | 0.962 | 0.759* |
| Married no children | 1.090*** | 1.144*** | 1.165** | 0.933 | 1.028 |
| Married with children | 1.023 | 1.080 | 1.115 | 0.943 | 0.976 |
| Education medium | 1.180** | 1.329*** | 1.044 | 1.053 | 1.192*** |
| Education high | 1.608*** | 1.532*** | 1.472*** | 1.613*** | 1.732*** |
| Education very high | 1.821*** | 1.782*** | 1.762*** | 1.738*** | 1.827*** |
| Education student | 1.690*** | 1.526*** | 1.942*** | 1.719** | 1.553*** |
| Internet high use | 1.471*** | 1.469*** | 1.253* | 1.731*** | 1.588*** |
| Internet medium use | 1.535*** | 1.591*** | 1.231 | 1.576*** | 1.618*** |
| Internet low use | 1.517*** | 1.663*** | 1.389** | 1.230 | 1.483*** |
| Retired | 1.124* | 1.256** | 1.172 | 1.322*** | 1.053 |
| Self-employed | 1.292*** | 1.106 | 1.382** | 1.461** | 1.284*** |
| Manager | 1.175*** | 1.254* | 1.174 | 1.098 | 1.072 |
| White collar | 1.156** | 0.928 | 1.345** | 1.252 | 1.152* |
| Blue collar | 1.012 | 0.881 | 1.301 | 0.892 | 0.958 |
| House keeping | 0.945 | 0.828 | 1.071 | 0.829 | 0.948 |
| House ownership | 1.139** | 0.980* | 1.146 | 1.276** | 1.187** |
| Car ownership | 1.107** | 1.149* | 0.904 | 1.108 | 1.164** |
| Financial stress | 1.125** | 0.983 | 1.143 | 1.022 | 1.131*** |
| Survey 2012 | 0.825 | ||||
| Survey 2013 | 0.688** | ||||
| Survey 2015 | 1.139 | 1.205*** | |||
| Registered PDOs and PGIs | 1.005 | 1.012*** | 1.010*** | 1.010*** | 1.010*** |
| Price | 0.795*** | ||||
| Food miles | 1.613*** | ||||
| Income second quintile | 1.000 | ||||
| Income third quintile | 1.288*** | ||||
| Income fourth quintile | 1.441** | ||||
| Income upper | 1.281*** | ||||
| Social class low | 1.015 | ||||
| Social class medium | 1.129** | ||||
| Social class upper | 1.137 | ||||
| Constant | 0.057*** | 0.050*** | 0.036*** | 0.044*** | 0.047** |
| Random effects | |||||
| Estimated variance of country effect | 0.339* | 0.266*** | 0.290*** | 0.458*** | 0.404*** |
| Estimated variance of regional effect | 0.163*** | 0.268*** | 0.248*** | 0.602*** | 0.340*** |
| ICC (%) | 13.24 | 13.96 | 14.05 | 24.37 | 18.44 |
| Statistics | |||||
| Log-likelihood | −40,817.502 | −8,945.247 | −8,960.361 | −8,397.939 | −21,343.830 |
| Observations | 105,657 | 25,323 | 26,515 | 22,315 | 52,010 |
| Regions | 208 | 206 | 208 | 205 | 206 |
| Countries | 28 | 27 | 28 | 28 | 28 |
| Model 1 (all surveys together) | Model 2 (2012 survey) | Model 3 (2013 survey) | Model 4 (2017 survey) | Model 5 (2015 and 2017 surveys) | |
|---|---|---|---|---|---|
| Gender | 0.974 | 1.035 | 0.932 | 0.867*** | 0.958 |
| Age_centred | 0.995*** | 0.996** | 0.991*** | 0.993** | 0.995*** |
| Age_ centred squared | 1.000*** | 1.000*** | 1.000** | 0.999*** | 1.000*** |
| Household size | 0.973** | 0.965 | 0.953* | 1.005 | 0.973 |
| Rural | 0.964 | 1.130 | 1.013 | 1.033 | 0.877 |
| Small town | 1.033 | 1.039 | 1.009 | 1.061 | 0.963 |
| Single with children | 0.922 | 1.034 | 1.153 | 0.962 | 0.759* |
| Married no children | 1.090*** | 1.144*** | 1.165** | 0.933 | 1.028 |
| Married with children | 1.023 | 1.080 | 1.115 | 0.943 | 0.976 |
| Education medium | 1.180** | 1.329*** | 1.044 | 1.053 | 1.192*** |
| Education high | 1.608*** | 1.532*** | 1.472*** | 1.613*** | 1.732*** |
| Education very high | 1.821*** | 1.782*** | 1.762*** | 1.738*** | 1.827*** |
| Education student | 1.690*** | 1.526*** | 1.942*** | 1.719** | 1.553*** |
| Internet high use | 1.471*** | 1.469*** | 1.253* | 1.731*** | 1.588*** |
| Internet medium use | 1.535*** | 1.591*** | 1.231 | 1.576*** | 1.618*** |
| Internet low use | 1.517*** | 1.663*** | 1.389** | 1.230 | 1.483*** |
| Retired | 1.124* | 1.256** | 1.172 | 1.322*** | 1.053 |
| Self-employed | 1.292*** | 1.106 | 1.382** | 1.461** | 1.284*** |
| Manager | 1.175*** | 1.254* | 1.174 | 1.098 | 1.072 |
| White collar | 1.156** | 0.928 | 1.345** | 1.252 | 1.152* |
| Blue collar | 1.012 | 0.881 | 1.301 | 0.892 | 0.958 |
| House keeping | 0.945 | 0.828 | 1.071 | 0.829 | 0.948 |
| House ownership | 1.139** | 0.980* | 1.146 | 1.276** | 1.187** |
| Car ownership | 1.107** | 1.149* | 0.904 | 1.108 | 1.164** |
| Financial stress | 1.125** | 0.983 | 1.143 | 1.022 | 1.131*** |
| Survey 2012 | 0.825 | ||||
| Survey 2013 | 0.688** | ||||
| Survey 2015 | 1.139 | 1.205*** | |||
| Registered PDOs and PGIs | 1.005 | 1.012*** | 1.010*** | 1.010*** | 1.010*** |
| Price | 0.795*** | ||||
| Food miles | 1.613*** | ||||
| Income second quintile | 1.000 | ||||
| Income third quintile | 1.288*** | ||||
| Income fourth quintile | 1.441** | ||||
| Income upper | 1.281*** | ||||
| Social class low | 1.015 | ||||
| Social class medium | 1.129** | ||||
| Social class upper | 1.137 | ||||
| Constant | 0.057*** | 0.050*** | 0.036*** | 0.044*** | 0.047** |
| Estimated variance of country effect | 0.339* | 0.266*** | 0.290*** | 0.458*** | 0.404*** |
| Estimated variance of regional effect | 0.163*** | 0.268*** | 0.248*** | 0.602*** | 0.340*** |
| ICC (%) | 13.24 | 13.96 | 14.05 | 24.37 | 18.44 |
| Log-likelihood | −40,817.502 | −8,945.247 | −8,960.361 | −8,397.939 | −21,343.830 |
| Observations | 105,657 | 25,323 | 26,515 | 22,315 | 52,010 |
| Regions | 208 | 206 | 208 | 205 | 206 |
| Countries | 28 | 27 | 28 | 28 | 28 |
Note(s): Three, two and one asterisk indicate significance at 1, 5 and 10%, respectively