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. 2021 Mar 25;24(17):5704–5709. doi: 10.1017/S1368980021001294

Table 2.

Factors associated with the use of online or app-based meal delivery services

OR se 95 % CI for OR P
Age 0·93 0·01 0·92, 0·94 <0·001
Gender – males 1·09 0·17 0·81, 1·48 0·553
Income 1·21 0·09 1·04, 1·41 0·013
Education 1·10 0·04 1·02, 1·19 0·013
Had a child <18 years 1·11 0·17 0·82, 1·49 0·497
BMI – overweight/obese 1·42 0·23 1·04, 1·94 0·025
Met fruit intake guidelines 1·19 0·18 0·89, 1·60 0·232
Met vegetable intake guidelines
Met MVPA guidelines 1·15 0·17 0·85, 1·54 0·362
Fast-food intake 1·60 0·10 1·41, 1·82 <0·001
Sugary drinks intake 1·09 0·04 1·02, 1·16 0·003
Drink alcohol at long-term risk level
Drink alcohol at short-term risk level 1·34 0·11 1·00, 1·79 0·051
Smoking
Adequate sleep 0·87 0·13 0·65, 1·17 0·372
Self-rated health 1·12 0·10 0·94, 1·34 0·201
Enjoy preparing food 1·02 0·09 0·86, 1·20 0·858
Level of confidence preparing food 1·10 0·10 0·93, 1·31 0·271
Level of confidence preparing a nutritious meal
Had dietary requirements related to health or weight loss reasons

MVPA, moderate and vigorous physical activity.

‘–’ indicates a non-significant association for univariate logistic regression analyses.