Table 2.
Variable | Quintile one (n 9153) | Quintile five (n 9152) | |||
---|---|---|---|---|---|
Mean, median or % | sd or 1st; 3rd quartile | Mean, median or % | sd or 1st; 3rd quartile | P-value | |
Age* (y) | 50·3 | 40·7; 60·0 | 40·3 | 40·0; 50·1 | <0·001§ |
Weight† (kg) | 83·0 | 12·9 | 89·1 | 14·8 | <0·001∥ |
BMI† (kg/m2) | 26·2 | 3·7 | 27·7 | 4·2 | <0·001∥ |
BMI, subgroups (kg/m2) | <0·001¶ | ||||
Underweight, <18·5 (%) | 0·4 | – | 0·3 | – | |
Normal, 18·5–25·0 (%) | 39·9 | – | 26·0 | – | |
Overweight, 25·0–30·0 (%) | 47·0 | – | 50·1 | – | |
Obese, >30·0 (%) | 12·8 | – | 23·6 | – | |
Physical activity‡ (%) | <0·001¶ | ||||
Inactive | 18·6 | – | 18·6 | – | |
Moderately inactive | 29·3 | – | 26·4 | – | |
Moderately active | 29·2 | – | 28·8 | – | |
Active | 22·4 | – | 25·9 | – | |
Marital status‡ (%) | <0·001¶ | ||||
Unmarried | 14·6 | – | 14·7 | – | |
Married/cohabitant | 77·2 | – | 76·1 | – | |
Divorced/separated | 6·7 | – | 8·0 | – | |
Widow/widower | 0·8 | – | 0·5 | – | |
Level of education‡ (%) | <0·001¶ | ||||
Basic level, 9 years | 47·3 | – | 24·4 | – | |
High school | 28·4 | – | 45·7 | – | |
University | 23·7 | – | 29·5 | – | |
Smoking‡ (%) | <0·001¶ | ||||
Currently smoking | 16·0 | – | 17·8 | – | |
Have smoked | 33·8 | – | 27·3 | – | |
Do not smoke | 48·8 | – | 53·5 | – | |
Residence‡ (%) | <0·001¶ | ||||
Urban area | 69·8 | – | 76·6 | – | |
Rural area | 29·5 | – | 22·1 | – | |
Energy intake† (kJ/day) | 8786 | 2636 | 7531 | 2594 | <0·001∥ |
Climate impact from diet/4184 kJ* (kg CO2e/day and 4184 kJ) | 1·5 | 1·4; 1·6 | 2·5 | 2·4; 2·7 | <0·001§ |
CO2e, carbon dioxide equivalents.
Presented using median and first; third quartiles.
Presented using mean and sd.
Missing values for; physical activity quintile one n 42, quintile five n 27; marital status quintile one n 64, quintile five n 60; level of education quintile one n 50, quintile five n 32; smoking quintile one n 125, quintile five n 135; residence quintile one n 68, quintile five n 120.
Estimated using Mann–Whitney U test.
Estimated using a Student t test.
Estimated using chi-square test.