Table 3 Ordered logistic regression models of decrease in fruit consumption among households whose fruit intake was decreased during COVID-19 lockdown
Variables | Fruit | ||
|---|---|---|---|
Odds Ratio | 95%CI | p value | |
Gender of household head | |||
Men | − | − | − |
Women | 1.02 | 0.82, 1.26 | 0.836 |
Urban/Rural | |||
Urban | − | − | − |
Rural | 1.16 | 1.01, 1.33 | 0.033 |
Family members | |||
01-Feb | − | − | − |
03-May | 1.05 | 0.87, 1.27 | 0.589 |
 > 6 | 1.3 | 1.02, 1.64 | 0.03 |
High risk members | |||
No | − | − | − |
 < 5 years | 1.06 | 0.93, 1.22 | 0.345 |
Pregnant/lactating mothers | 0.91 | 0.67, 1.23 | 0.554 |
Elder | 1.02 | 0.83, 1.25 | 0.803 |
More than one | 1.15 | 0.95, 1.39 | 0.127 |
Occupation | |||
Employee | − | − | − |
Freelance | 0.94 | 0.73, 1.20 | 0.646 |
Retired | 1.15 | 0.87, 1.52 | 0.32 |
Health workers | 0.99 | 0.61, 1.59 | 0.976 |
Teacher | 1.27 | 0.89, 1.80 | 0.179 |
Driver | 0.99 | 0.71, 1.37 | 0.956 |
other | 1.21 | 0.94, 1.57 | 0.13 |
Change in income | |||
No changes | − | − | − |
Low decrease | 0.9 | 0.75, 1.08 | 0.281 |
Half | 1.63 | 1.34, 1.97 |  < 0.001 |
Cut | 2.95 | 2.40, 3.63 |  < 0.001 |
Persons confirmed with COVID-19 in the households | |||
No | − | − | − |
Yes | 1.4 | 0.96, 2.04 | 0.074 |
Education | |||
Master/higher | − | − | − |
Bachelor | 1.36 | 1.03, 1.80 | 0.03 |
Associate | 1.49 | 1.24, 2.20 | 0.001 |
Diploma | 1.65 | 1.07, 2.07 | 0.017 |
High school | 2.21 | 1.65, 2.98 |  < 0.001 |
Security status of province | |||
Secure | − | − | − |
Semi secure | 1.28 | 1.08, 1.52 | 0.004 |
Insecure | 1.72 | 1.43, 2.07 |  < 0.001 |