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. 2021 May 13:8:672372.
doi: 10.3389/fnut.2021.672372. eCollection 2021.

Poor Eating Habits and Selected Determinants of Food Choice Were Associated With Ultraprocessed Food Consumption in Brazilian Women During the COVID-19 Pandemic

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Poor Eating Habits and Selected Determinants of Food Choice Were Associated With Ultraprocessed Food Consumption in Brazilian Women During the COVID-19 Pandemic

Fabiana Infante Smaira et al. Front Nutr. .

Abstract

Background: The aim of this study was to investigate possible associations between food consumption and eating habits and food choice determinants in women during COVID-19 pandemic. Methods: This is a cross-sectional survey conducted in Brazil between June and September, 2020, during which time social distancing measures were in place. Results: Participants (n = 629) were aged 34.0 years and mostly within normal weight according to BMI (60.4%). "Snacking" and "liking" associated with increased energy (β = 164.27 and β = 110.24) and carbohydrate intake (β = 1.97 and β = 1.80), and with reduced protein intake (β = -1.54 and β = -1.18). In contrast, "dieting" and "weight control" associated with reduced energy (β = -162.57 and β = -111.49) and carbohydrate intake (β = -2.78 and β = -2.07), and with increased protein intake (β = 3.78 and β = 1.65). "Dieting" (β = 7.27), "need and hunger" (β = 3.34), and "health" (β = 4.94) associated with an increased consumption of unprocessed and minimally processed foods, whereas "replacing main meals with snacks" (β = -8.98), "snacking" (β = -6.92) and binge eating symptoms (β = -0.34) associated with reduced consumption of foods within this processing level. In contrast, "use of delivery services" (β = 3.39), "replacing main meals with snacks" (β = 5.49), "visual appeal" (β = 2.17), "social norms" (β = 2.19) and "affect regulation" (β = 2.01) associated with increased ultraprocessed food consumption. Overall, associations were more frequent and pronounced when analyzing food consumption by processing level rather than by macronutrient intake. Conclusion: Some eating habits and food choice determinants ("snacking," "replacing meals with snacks," "use of delivery services") observed during the COVID-19 pandemic were associated with an unhealthy diet (high energy and carbohydrate consumption, increased ultraprocessed food consumption and reduced unprocessed/minimally processed foods consumption) in Brazilian women.

Keywords: SARS-CoV-2; eating behavior; food processing level; macronutrient intake; quarantine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Associations between food consumption (dependent variables) and eating habits and determinants (independent variables). Data presented as standardized β (95% CI); *p < 0.05. UNMP, unprocessed and minimally processed foods; PR, processed foods; UPR, ultraprocessed foods.
Figure 2
Figure 2
Associations between macronutrient intake (dependent variables) and food consumption by processing level (independent variables). Data presented as standardized β (95% CI); ∙p < 0.05; °p > 0.05. UNMP, unprocessed and minimally processed foods; PR, processed foods; UPR, ultraprocessed foods.

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References

    1. Devine CM. A life course perspective: understanding food choices in time, social location, and history. J Nutr Educ Behav. (2005) 37:121–8. 10.1016/S1499-4046(06)60266-2 - DOI - PubMed
    1. Sproesser G, Moraes JM, Renner B, Alvarenga MS. The eating motivation survey in Brazil: results from a sample of the general adult population. Front Psychol. (2019) 10:2334. 10.3389/fpsyg.2019.02334 - DOI - PMC - PubMed
    1. Leng G, Adan RA, Belot M, Brunstrom JM, de Graaf K, Dickson SL, et al. . The determinants of food choice. Proc Nutr Soc. (2017) 76:316–27. 10.1017/S002966511600286X - DOI - PubMed
    1. Brug J. Determinants of healthy eating: motivation, abilities and environmental opportunities. Fam Prac. (2008) 25(Suppl. 1):50–5. 10.1093/fampra/cmn063 - DOI - PubMed
    1. Wood W, Rünger D. Psychology of habit. Annu Rev Psychol. (2016) 67:289–314. 10.1146/annurev-psych-122414-033417 - DOI - PubMed

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