| Literature DB >> 34539079 |
Jessica Ferreira Rodrigues1, Marcus Túlio Cunha Dos Santos Filho1, Lorena Eduarda Aparecida de Oliveira1, Ingrid Brandemburg Siman1, Alessandra de Fátima Barcelos1, Gustavo Luis de Paiva Anciens Ramos2,3, Erick Almeida Esmerino3, Adriano Gomes da Cruz2, Rhaí André Arriel4.
Abstract
BACKGROUND: Following the COVID-19 pandemic (caused by the SARS-CoV-2 coronavirus) at the beginning of 2020, containment measures have been taken by different countries around the globe. Citizens were forced to stay in quarantine, affecting their food consumption habits and food sector. These impacts have not yet been properly understood. Thus, it is important to describe the consequences of COVID-19 on food consumption habits globally, especially in the context of developing countries, such as Brazil. SCOPE AND APPROACH: In this study, the Brazilian's food consumption habits and perceptions during the COVID-19 pandemic were assessed, highlighting the food consumption changes and selection of food products. Consumer perceptions about issues related to food safety and food marketing were also assessed. An online survey was performed and data were analyzed by descriptive analysis; independence and per cell chi-square test; and factor analysis. KEY FINDINGS ANDEntities:
Keywords: Brazil; Coronavirus; Food habits; Food marketing; Food safety
Year: 2021 PMID: 34539079 PMCID: PMC8434886 DOI: 10.1016/j.tifs.2021.09.005
Source DB: PubMed Journal: Trends Food Sci Technol ISSN: 0924-2244 Impact factor: 12.563
Respondent's demographics.
| Gender (%) | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Women | Men | |||||||||||||
| Age group (%) | ||||||||||||||
| 18–25 years | 26–35 years | 36–45 years | 46–55 years | 56–65 years | ||||||||||
| Occupation (%) | ||||||||||||||
| Student | Employed | Unemployed | Retired | |||||||||||
| Average monthly household income (%) | ||||||||||||||
| Up to 1 minimum wages | From 1 to 3 minimum wages | From 3 to 5 minimum wages | From 5 to 7 minimum wages | |||||||||||
| Educational attainment (%) | ||||||||||||||
| Elementary school | Elementary school | Middle high school | Higher education incompleted (in progress) | Higher education completed or more | ||||||||||
Fig. 1Food consumption changes noticed by Brazilians during the COVID-19 pandemic and quarantine context.
Mean scores and standard deviation (SD) of evaluated attitudes and perceptions about food consumption during the pandemic and quarantine.
| Item | statements on consumer attitudes and perception scale | Factor loading | |||
|---|---|---|---|---|---|
| Mean scores | SD | D1 | D2 | ||
| 1 | 3.545 | 1.292 | −0.025 | ||
| 2 | 3.369 | 1.424 | 0.018 | ||
| 3 | 2.811 | 1.457 | 0.032 | ||
| 4 | 2.535 | 1.356 | 0.467 | −0.005 | |
| 5 | 3.218 | 1.249 | 0.055 | 0.061 | |
| 6 | 2.990 | 1.415 | 0.024 | ||
| 7 | 2.093 | 1.380 | 0.058 | 0.008 | |
| 8 | 2.510 | 1.526 | 0.200 | −0.192 | |
| 9 | 3.574 | 1.428 | 0.064 | ||
| 10 | 2.696 | 1.200 | −0.155 | ||
| 11 | 2.218 | 1.212 | −0.072 | 0.073 | |
| 12 | 2.308 | 1.263 | −0.037 | 0.060 | |
| 13 | 2.965 | 1.392 | −0.070 | −0.063 | |
| 14 | 4.253 | 1.059 | −0.078 | 0.522 | |
| 15 | 4.208 | 0.971 | 0.031 | ||
| 16 | 2.410 | 1.131 | 0.035 | ||
| 17 | 2.901 | 1.036 | 0.216 | ||
| 18 | 3.407 | 1.247 | 0.328 | 0.104 | |
aFactor loadings in bolding are significant in the axis after promax rotation. Values were obtained considering the considering the Likert scale: 1—strongly disagree; 2—disagree; 3—neither agree nor disagree; 4—agree; 5—strongly agree.
Changes in food consumption habits noticed by different genders.
| Women (%) | Men (%) | ||
|---|---|---|---|
| I noticed a change in my food consumption habits during the pandemic and quarantine context. | |||
| Chi-square = 0.005; p < 0.01 | 60.40 | 48.80* | |
| 15.00 | 28.00* | ||
| 24.60 | 23.20 | ||
| I am consuming a greater quantity of food in general | |||
| Chi-square = 0.005; p < 0.01 | 58.30 | 42.40* | |
| 20.90 | 36.80* | ||
| 20.90 | 20.80 | ||
| My candy consumption has Increased considerably | |||
| Chi-square = 0.031; p < 0.05 | 44.40 | 29.60* | |
| 33.70 | 42.40 | ||
| 21.90 | 28.00 | ||
| I believe that my emotional state has influenced my eating habits during the pandemic and quarantine context | |||
| Chi-square = 0.000; p < 0.001 | 69.00 | 42.40* | |
| 17.10 | 34.40* | ||
| 13.90 | 23.20* | ||
Emotional state and its influence on food consumption habits during the pandemic and quarantine context.
| I believe that my emotional state has influenced my eating habits during the pandemic and quarantine context | |||||
|---|---|---|---|---|---|
| 9.09 | 8.02 | 12.80 | 20.86 | 48.13 | |
| 21.60 | 13.90 | 23.20 | 21.60 | 20.80 | |
| 40.91 | 38.71 | 45.45 | 36.36 | 62.93 | |
| 15.91 | 16.13 | 29.09 | 43.94 | 24.14 | |
| 20.45 | 32.26 | 14.55 | 9.09 | 8.62 | |
| 13.64 | 6.45 | 7.27 | 9.09 | 3.45 | |
| 6.82 | 3.23 | 3.64 | 1.52 | 0.86 | |
| 2.27 | 3.23 | 0 | 0 | 0 | |
| 6.82 | 12.90 | 3.64 | 3.03 | 18.10 | |
| 6.82 | 3.23 | 9.09 | 13.64 | 13.79 | |
| 27.27 | 19.35 | 21.82 | 25.76 | 31.90 | |
| 9.09 | 12.90 | 23.64 | 22.73 | 12.07 | |
| 15.91 | 6.45 | 9.09 | 10.61 | 10.34 | |
| 34.09 | 45.16 | 32.73 | 24.24 | 13.79 | |
Chi-square p < 0.01.
p < 0.01.
p < 0.01.
Significantly differ between male and female.
Fig. 2Purchase prioritization of different food categories during the quarantine context.
Mean scores and standard deviation (SD) of evaluated attitudes and perceptions regarding to food hygienic practices during the pandemic and quarantine context.
| Factor loading | |||||
|---|---|---|---|---|---|
| Item | Statements on consumer attitudes and perception scale | Mean scores | SD | D1 | D2 |
| 1 | My personal hygiene practices were intensified in the face of the Covid-19 pandemic. | 4.503 | 0.841 | −0.002 | |
| 2 | Food can be a source of Coronavirus (COVID-19) contamination | 4.106 | 1.161 | −0.260 | |
| 3 | I have become better acquainted with the correct ways to sanitize my food in the face of the Covid-19 pandemic. | 4.064 | 1.138 | 0.016 | |
| 4 | My food hygiene practices were intensified in the face of the Covid-19 pandemic. | 4.151 | 1.154 | 0.010 | |
| 5 | I have more frequently sanitized food purchased in commercial establishments. | 4.109 | 1.129 | −0.039 | |
| 6 | I have more frequently sanitized packages of processed foods purchased in commercial establishments. | 3.978 | 1.264 | −0.045 | |
| 7 | I have taken more care with the hygienic conditions of the surfaces on which I prepare my food. | 4.045 | 1.142 | 0.015 | |
| 8 | I will maintain my food sanitation habits even when the Covid-19 Pandemic ends. | 3.968 | 1.030 | 0.359 | 0.356 |
| 9 | I trust the safety of packaged food purchased in commercial establishments. | 2.843 | 1.202 | −0.019 | |
| 10 | I trust the safety of fresh food purchased in commercial establishments. | 2.699 | 1.081 | −0.026 | |
| 11 | I trust the safety of fruits and vegetables purchased in commercial establishments. | 2.635 | 1.109 | −0.049 | |
| 12 | I feel safe consuming food prepared outside the home during the pandemic. | 2.596 | 1.186 | −0.013 | 0.464 |
| 13 | I feel safe returning to attend food establishments after quarantine. | 2.827 | 1.291 | 0.078 | 0.213 |
| 14 | I will be more judicious in selecting the food establishments I will attend after quarantine. | 3.872 | 1.132 | 0.338 | 0.081 |
Factor loadings in bolding are significant in the axis after promax rotation. Values were obtained considering the considering the Likert scale: 1—strongly disagree; 2—disagree; 3—neither agree nor disagree; 4—agree; 5—strongly agree.