Table 3.
Partial correlation between ∆ dietary intake patterns and weight gain during the COVID-19 lockdown.
Food Groups/Items 1 | Partial Correlation, rpartial 2 | p-Value 3 |
---|---|---|
Level 1 | ||
Fruits | 0.007 | 0.818 |
Vegetables | ||
Dark green vegetables | −0.027 | 0.393 |
Other vegetables | −0.017 | 0.589 |
Level 2 | ||
Cereals and grains | 0.105 | 0.001 |
Tubers | ||
White tubers and roots | 0.028 | 0.370 |
Vitamin A-rich tubers | −0.027 | 0.376 |
Level 3 | ||
Legumes, nuts and seeds | 0.002 | 0.943 |
Fish and shellfish | 0.029 | 0.356 |
Flesh meats | 0.052 | 0.095 |
Eggs | 0.050 | 0.107 |
Milk and dairy products | 0.031 | 0.313 |
Level 4 | ||
Oils and fats | 0.140 | <0.001 |
Sugars and sweets | 0.085 | 0.006 |
Salts | 0.039 | 0.206 |
Plain water | −0.053 | 0.088 |
1 Dietary intakes were dummy coded as 0 = reduced intakes/remained the same and 1 = increased intakes. 2 Partial correlation with the adjustment of gender, age, ethnicity, marital status and educational attainment. 3 Variable which portrays a p-value of less than 0.25 (p < 0.25) was included into hierarchical multiple regression model.