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Changes in ultra-processed food consumption during the first Italian lockdown following the COVID-19 pandemic and major correlates: results from two population-based cohorts

Published online by Cambridge University Press:  05 March 2021

Marialaura Bonaccio*
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Simona Costanzo
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Emilia Ruggiero
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Mariarosaria Persichillo
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Simona Esposito
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Marco Olivieri
Affiliation:
Associazione Cuore-Sano ONLUS, Campobasso, Italy
Augusto Di Castelnuovo
Affiliation:
Mediterranea Cardiocentro, Napoli, Italy
Chiara Cerletti
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Maria Benedetta Donati
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Giovanni de Gaetano
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy
Licia Iacoviello
Affiliation:
Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, Pozzilli (IS) 86077, Italy Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy
*
*Corresponding author: Email marialaura.bonaccio@moli-sani.org
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Abstract

Objective:

To evaluate changes in ultra-processed food (UPF) intake and its major correlates during the first Italian lockdown (9 March–3 May 2020).

Design:

Retrospective observational study.

Setting:

Italy.

Participants:

We analysed 2992 subjects (mean age 57·9 ± 15·3 years, 40·4 % men). Individual participant data were pooled from two retrospective cohorts: (1) The Moli-LOCK cohort consists of 1501 adults, a portion of the larger Moli-sani study (n 24 325; 2005–2010) who were administered a phone-based questionnaire to assess lifestyles and psychological factors during confinement and (2) the Analysis of Long Term Risk of Covid-19 Emergency is a web-based survey of 1491 individuals distributed throughout Italy who self-responded to the same questionnaire by using Google forms.

UPF was defined according to NOVA classification based on degree of food processing. An UPF score was created by assigning 1 point to increased consumption, −1 to decreased and 0 point for unchanged intakes of nineteen food items, with higher values indicating an increase in UPF during confinement.

Results:

Overall, 37·5 % of the population reported some increase in UPF (UPF score ≥1). Adults were more likely to decrease UPF (multivariable regression coefficient β = −1·94; 95 % CI −2·72, −1·17 for individuals aged >75 years as compared with 18–39 years) as did individuals from southern Italian regions as compared with Northern inhabitants (β = −1·32; 95 % CI −1·80, −0·84), while UPF lowering associated with increased exercise (β = −0·90; 95 % CI −1·46, −0·35) and weight loss (β = −1·05; 95 % CI −1·51, −0·59) during confinement.

Conclusions:

During the first Italian lockdown, about 40 % of our population switched to unfavourable eating as reflected by increased UPF intake and this may have long-term effects for health.

Information

Type
Research paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1 Socio-demographic characteristics of the two cohorts analysed in the current study, Italy 2020

Figure 1

Table 2 Self-rated changes (%) in the consumption of ultra-processed food during the COVID-19 outbreak confinement in Italy (9 March – 3 May 2020), Italy 2020

Figure 2

Fig. 1 Changes in intake of nineteen ultra-processed foods (UPF) during the Italian lockdown (9 March – 3 May 2020). Radar plots show changes in consumption (increase/decrease) of each food item included in the UPF score along a vertical axis starting in the centre of the circle (0 % change)

Figure 3

Fig. 2 Overall variation in ultra-processed food (UPF) intake during the Italian lockdown (9 March – 3 May 2020) following the COVID-19 pandemic and separately in the ALT RISCOVID-19 and Moli-LOCK study cohorts. , Stable; , mild increase; , high increase; , mild decrease; , high decrease

Figure 4

Table 3 Association of demographic and socio-economic factors with self-rated changes in ultra-processed food (UPF) consumption during the Italian lockdown following the COVID-19 pandemic (9 March – 3 May 2020) by means of adjusted regression coefficients (β) with 95 % CI and P-value, Italy 2020

Figure 5

Table 4 Association of lockdown-induced factors with self-rated changes in ultra-processed food (UPF) consumption during the Italian lockdown following the COVID-19 pandemic (9 March – 3 May 2020) by means of adjusted regression coefficients (β) with 95 % CI and P-value, Italy 2020

Figure 6

Table 5 Association of diet-related behaviours with self-rated changes in ultra-processed food (UPF) consumption during the Italian lockdown following the COVID-19 pandemic (9 March – 3 May 2020) by means of adjusted regression coefficients (β) with 95 % CI and P-value, Italy 2020

Figure 7

Fig. 3 Changes in diet-related behaviours during the Italian lockdown (9 March – 3 May 2020). Radar plots show changes in consumption (increase/decrease) of each diet-related behaviour along a vertical axis starting in the centre of the circle (0 % change)

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