| Literature DB >> 34634370 |
Barthélemy Sarda1, Corinne Delamaire1, Anne-Juliette Serry1, Pauline Ducrot2.
Abstract
In March 2020, the COVID-19 pandemic led to a strict lockdown in France for 2 months, drastically changing the daily life of the population. We investigated changes in perceived diet quality and cooking practices during the lockdown in comparison with the preceding period. Between June 9 and 30, 2020, 2422 participants were recruited and completed a questionnaire regarding the evolution of their overall diet and cooking habits during the lockdown. Descriptive analyses showed that 41.5% of participants described dietary changes with a similar proportion reporting positive or negative changes (22.0% and 19.5%, respectively). The exceptional circumstances of the lockdown provided a positive opportunity for some people to improve their diet quality by spending more time cooking (54.8% of those reporting a positive change) or eating more fresh products, including fruits and vegetables (47.4%). By contrast, other participants reported a decline in their diet quality, mainly caused by poorer dietary choices due to the consumption of comfort food (50.3% of those reporting a negative change), snacking (40.1%), or food supply issues (35.9%). The lockdown led to a massive rise in home cooking with 42.0% of all participants cooking more frequently (vs 7.0% cooking less), as barriers such as time constraints were reduced. Using multivariate analyses, we found that this change in cooking frequency varied among population subgroups, especially in regard to financial situation, as individuals in financial difficulty tended to cook less. As home cooking has already been linked to better diet quality and thus health status, our results suggest that the lockdown increased social health inequalities. An adequate public health response is therefore needed to support nutritionally vulnerable populations.Entities:
Keywords: COVID-19; Eating habits; Home cooking; Lifestyle; Lockdown
Mesh:
Year: 2021 PMID: 34634370 PMCID: PMC9355689 DOI: 10.1016/j.appet.2021.105743
Source DB: PubMed Journal: Appetite ISSN: 0195-6663 Impact factor: 5.016
Sociodemographic characteristics of respondents (weighed data).
| Variables | N | % |
|---|---|---|
| 2422 | 100% | |
| Men | 1153 | 47.6% |
| Women | 1269 | 52.4% |
| 18–24 | 248 | 10.2% |
| 25–34 | 380 | 15.7% |
| 35–49 | 622 | 25.7% |
| 50–64 | 608 | 25.1% |
| Over 65 | 564 | 23.3% |
| No high school diploma | 670 | 27.7% |
| High school diploma or more | 1752 | 72.3% |
| Less than 20,000 inhabitants | 966 | 39.9% |
| Between 20,000 and 100,000 inhabitants | 327 | 13.5% |
| More than 100,000 inhabitants and Paris area | 1129 | 46.6% |
| Good | 1222 | 50.5% |
| Intermediate | 834 | 34.4% |
| Difficult | 366 | 15.1% |
Perceived evolution of the diet quality and reasons leading to diet changes.
| Total | Men | Women | p-value | ||||
|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | ||
| 2422 | 100% | 1153 | 100% | 1269 | 100% | ||
| More balanced during lockdown | 532 | 22.0% | 239 | 20.7% | 293 | 23.1% | |
| Less balanced during lockdown | 473 | 19.5% | 207 | 17.9% | 266 | 20.9% | 0.02 |
| No change | 1417 | 58.5% | 707 | 61.4% | 710 | 55.9% | |
| 532 | 100% | 239 | 100% | 293 | 100% | ||
| Having more time to prepare meals | 291 | 54.8% | 114 | 47.8% | 177 | 60.4% | 0.048 |
| Eating more fruits, vegetables and fresh products | 252 | 47.4% | 111 | 46.6% | 141 | 48.1% | 0.77 |
| Eating more homemade meals and less ultra-processed foods | 244 | 45.9% | 106 | 44.6% | 138 | 47.0% | 0.67 |
| Wanting to stay healthy | 188 | 35.3% | 77 | 32.1% | 111 | 37.9% | 0.26 |
| Avoiding weight gain | 177 | 33.2% | 60 | 24.9% | 117 | 39.9% | 0.002 |
| Eating out less often (restaurants or fast food) | 171 | 32.2% | 77 | 32.2% | 94 | 32.1% | 0.99 |
| Avoiding snacking between meals | 166 | 31.3% | 51 | 21.4% | 115 | 39.3% | <0.001 |
| Eating smaller amounts of food | 111 | 20.8% | 45 | 18.8% | 66 | 22.4% | 0.36 |
| Cooking with easily available products | 97 | 18.3% | 36 | 15.2% | 61 | 20.8% | 0.13 |
| Starting a diet | 19 | 3.5% | 6 | 2.5% | 13 | 4.3% | 0.28 |
| Other reasons | 8 | 1.5% | 6 | 2.6% | 2 | 0.5% | 0.047 |
| 473 | 100% | 207 | 100% | 266 | 100% | ||
| Eating more food products high in fat, salt, sugar | 238 | 50.3% | 92 | 44.5% | 146 | 54.9% | 0.12 |
| Snacking more frequently between meals | 190 | 40.1% | 71 | 34.1% | 119 | 44.8% | 0.07 |
| Having difficulty finding certain foods | 170 | 35.9% | 66 | 31.9% | 104 | 39.0% | 0.20 |
| Eating greater amounts of food | 89 | 18.7% | 37 | 18.0% | 51 | 19.4% | 0.73 |
| Paying attention to food-related expenditures | 80 | 17.0% | 38 | 18.2% | 43 | 16.0% | 0.57 |
| Preparing more meals | 75 | 15.9% | 25 | 12.1% | 50 | 19.0% | 0.06 |
| Eating more ready-to-eat meals and less homemade meals | 61 | 12.9% | 35 | 17.1% | 26 | 9.7% | 0.03 |
| Skipping meals | 57 | 12.0% | 24 | 11.5% | 33 | 12.4% | 0.79 |
| Eating takeaways and ordering from restaurants or fast food | 46 | 9.8% | 24 | 11.5% | 23 | 8.5% | 0.29 |
| Other reasons | 16 | 3.4% | 5 | 2.6% | 11 | 4.0% | 0.42 |
Significance levels obtained with Pearson's Chi-Square tests. Single p-values are presented for tests applied to the overall variable and multiple p-values for tests applied to each sub-variable.
Perceived evolution of cooking frequency and culinary practices reported most frequently during the lockdown.
| Total | Men | Women | p-value | ||||
|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | ||
| 2422 | 100% | 1153 | 100% | 1269 | 100% | ||
| More frequent during lockdown | 1017 | 42.0% | 440 | 38.2% | 577 | 45.4% | |
| Less frequent during lockdown | 171 | 7.0% | 82 | 7.1% | 89 | 7.0% | 0.001 |
| No change | 1234 | 51.0% | 631 | 54.7% | 603 | 47.5% | |
| 1017 | 100% | 440 | 100% | 577 | 100% | ||
| Spending more time preparing meals | 793 | 78.0% | 344 | 78.2% | 449 | 77.8% | 0.95 |
| Trying new recipes and/or cooking unusual meals | 749 | 73.6% | 295 | 67.0% | 454 | 78.7% | 0.03 |
| Spending time baking | 682 | 67.1% | 267 | 60.7% | 415 | 71.9% | 0.03 |
| Cooking fresh products | 613 | 60.3% | 273 | 62.0% | 340 | 58.9% | 0.53 |
| Preparing a greater number of meals | 583 | 57.3% | 260 | 59.1% | 323 | 56.0% | 0.52 |
| Preparing food in larger quantities | 498 | 49.0% | 208 | 47.3% | 290 | 50.3% | 0.50 |
Significance levels obtained with Pearson's Chi-Square tests. Single p-values are presented for tests applied to the overall variable and multiple p-values for tests applied to each individual sub-variable.
Post-lockdown continuation of the increased cooking practices.
| Total | Took pleasure in cooking more frequently | Did not take pleasure in cooking more frequently | p-value | ||||
|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | ||
| 1017 | 100% | 861 | 100% | 156 | 100% | ||
| Yes | 609 | 59.9% | 540 | 62.7% | 69 | 44.2% | <0.001 |
| No | 408 | 40.1% | 321 | 37.3% | 87 | 55.8% | |
Significance levels obtained with Pearson's Chi-Square tests.
Association between cooking frequency and sociodemographic characteristics modeled using a multinomial logistic regression (N = 2422).
| Cooked more vs cooked as much as usual | Cooked less vs cooked as much as usual | p-value | |||
|---|---|---|---|---|---|
| Odds ratio | 95% CI | Odds ratio | 95% CI | ||
| 0.02 | |||||
| Men | 1 | 1 | |||
| Women | 1.29** | [1.07–1.54] | 1.09 | [0.78–1.54] | |
| <0.001 | |||||
| 18-24 | 1 | 1 | |||
| 25-34 | 0.81 | [0.56–1.17] | 0.74 | [0.43–1.27] | |
| 35-49 | 0.80 | [0.57–1.14] | 0.35*** | [0.20–0.61] | |
| 50-64 | 0.71* | [0.51–0.98] | 0.21*** | [0.12–0.38] | |
| Over 65 | 0.41*** | [0.28–0.59] | 0.29*** | [0.14–0.58] | |
| <0.001 | |||||
| No | 1 | 1 | |||
| Yes | 1.88*** | [1.54–2.29] | 1.67** | [1.13–2.44] | |
| <0.001 | |||||
| Work outside the home | 1 | 1 | |||
| Telecommuting | 1.89*** | [1.43–2.51] | 1.93** | [1.17–3.29] | |
| Reduced professional activity (interrupted work, partial unemployment) | 1.68*** | [1.29–2.18] | 1.47 | [0.92–2.36] | |
| Other (unemployed, student, retiree) | 0.98 | [0.72–1.33] | 0.62 | [0.33–1.16] | |
| 0.13 | |||||
| No high school diploma | 1 | 1 | |||
| High school diploma or more | 1.16 | [0.94–1.43] | 0.81 | [0.55–1.19] | |
| 0.02 | |||||
| Good | 1 | 1 | |||
| Intermediate | 0.94 | [0.77–1.14] | 1.24 | [0.85–1.81] | |
| Difficult | 0.76* | [0.59–0.99] | 1.61* | [1.02–2.52] | |
| 0.01 | |||||
| Less than 20,000 inhabitants | 1 | 1 | |||
| Between 20,000 and 100,000 inhabitants | 1.27 | [0.96–1.68] | 1.39 | [0.85–2.28] | |
| More than 100,000 inhabitants and Paris area | 1.41*** | [1.16–1.71] | 1.15 | [0.79–1.66] | |
| 0.005 | |||||
| No children | 1 | 1 | |||
| At least one child | 1.47*** | [1.16–1.84] | 1.19 | [0.79–1.79] | |
95% confidence interval.
p-value obtained using a Wald test.