Table 3.
Unadjusted mean number of days cooking and eating lunch and dinner at home by food system typology, 2018–22
| Overall | Rural and traditional | Informal and expanding | Emerging and diversifying | Modernizing and formalizing | Industrial and consolidated | P | |
|---|---|---|---|---|---|---|---|
| Mean number of days per week cooking lunch and dinner at home (95% CI) by year | |||||||
| 2018 | 2.83 (2.79, 2.88) |
2.84 (2.79, 2.89) |
2.89 (2.84, 2.93) |
3.25 (3.21, 3.31) |
2.83 (2.79, 2.87) |
3.12 (3.08, 3.15) |
<.001 |
| 2019 | 2.99 (2.95, 3.04) |
3.03 (2.98, 3.07) |
2.97 (2.92, 3.01) |
3.20 (3.15, 3.25) |
2.86 (2.83, 2.90) |
3.17 (3.14, 3.20) |
.011 |
| 2020 | 2.99 (2.94, 3.05) |
3.19 (3.13, 3.25) |
3.07 (3.02, 3.12) |
3.20 (3.16, 3.25) |
3.26 (3.22, 3.30) |
3.48 (3.45, 3.51) |
<.001 |
| 2021 | 3.09 (3.04, 3.14) |
3.21 (3.15, 3.26) |
3.15 (3.10, 3.21) |
3.24 (3.19, 3.29) |
3.24 (3.20, 3.28) |
3.44 (3.41, 3.47) |
<.001 |
| 2022 | 2.89 (2.84, 2.93) |
2.91 (2.87, 2.95) |
3.07 (3.03, 3.12) |
3.13 (3.08, 3.18) |
2.94 (2.90, 2.98) |
3.26 (3.22, 3.29) |
<0.001 |
| Mean number of days per week eating lunch and dinner prepared at home (95% CI) by year | |||||||
| 2018 | 5.55 (5.50, 5.59) |
5.35 (5.31, 5.39) |
5.29 (5.25, 5.33) |
5.54 (5.51, 5.58) |
5.10 (5.07, 5.14) |
4.94 (4.92, 4.97) |
<.001 |
| 2019 | 5.41 (5.37, 5.45) |
5.17 (5.14, 5.21) |
5.20 (5.16, 5.24) |
5.31 (5.27, 5.35) |
5.02 (4.98, 5.05) |
4.71 (4.68, 4.74) |
<.001 |
| 2020 | 4.99 (4.95, 5.04) |
5.10 (5.05, 5.15) |
4.81 (4.77, 4.85) |
5.02 (4.98, 5.06) |
5.09 (5.06, 5.12) |
4.95 (4.92, 4.97) |
.863 |
| 2021 | 5.28 (5.23, 5.33) |
5.20 (5.15, 5.25) |
5.02 (4.98, 5.06) |
5.01 (4.97, 5.05) |
4.89 (4.85, 4.92) |
4.78 (4.75, 4.81) |
<.001 |
| 2022 | 5.19 (5.15, 5.24) |
5.00 (4.96, 5.04) |
5.03 (4.99, 5.07) |
5.25 (5.21, 5.29) |
5.04 (5.00, 5.07) |
4.66 (4,63, 4.69) |
.002 |
Notes: P-value based on unadjusted negative binomial regressions for continuous variables with year and country food system typology type as continuous variables. Bolded P-values indicate statistical significance. Data are survey-weighted.