The outbreak of the 2019 novel coronavirus disease (COVID-19) was first reported in late December 2019 solely in the city of Wuhan, China(1). Despite strategies adopted by the Chinese government to stop the infection, it continued to spread throughout the world. By the end of January 2020, WHO declared COVID-19 as a public health emergency of international concern(2) and on 11 March 2020, WHO characterised this epidemiological phenomenon as a global pandemic(3). According to the situation report published by the WHO on 5 July 2020, there were over 11 million confirmed cases globally and about 1·1 million cases in the Eastern Mediterranean Region(4). In the Middle East and North Africa (MENA) region, the Gulf countries like Saudi Arabia, Qatar, United Arab Emirates and Kuwait reported the highest numbers of confirmed cases proportionally to the population size(4). According to the Organization for Economic Cooperation and Development, some countries in the MENA region have taken crucial measures to combat this pandemic, closing schools, kindergartens, religious places, airports and malls, as well as preventing social gatherings. Others have gone far by suspending government departments(5).
With more knowledge acquired on the virus, its rate of transmission, resemblance to previous outbreaks and the uncontrolled spread of the virus, governments worldwide had to act quickly(Reference Wu and McGoogan6). Following the footsteps of China and the recommendations of the WHO, governments around the globe started implementing isolation, quarantine, social distancing and community containment at different magnitudes in order to reduce the spread of the virus and lessen its impact on medical resources(2,Reference Wilder-Smith and Freedman7) .
In most countries, quarantine and physical distancing were initiated, school closures were mandatory and large gatherings were cancelled(Reference McCloskey and Heymann8). People were forced to stay at home, practice remote working and online learning from home and adhere with physical distancing(9). However, initiating such sudden changes proposes major modifications in the lifestyle and behaviours of the population. Personal restrictions might lead to physical inactivity especially in courtiers with complete lockdowns, like Jordan(Reference Koh10). Emotional stress and irritability are common psychological impacts during such times of crisis(Reference Zhang, Wu and Zhao11). A recent review on the psychological impact of quarantine reported a negative effect, and the stressor factors included long quarantine period, fear of infection, frustration, boredom, financial loss, stigma, inadequate supplies of goods and misinformation(Reference Brooks, Webster and Smith12). Consequently, boredom and stress have been associated with overeating and greater energy intake mostly from comfort foods which are usually high in fat, sugar, salt and energy content(Reference Moynihan, Van Tilburg and Igou13,Reference Yılmaz and Gökmen14) . Quarantine-related stress might also cause sleep disturbances, which in turn has been linked to increased food intake and weight gain(Reference Crispim, Zalcman and Dáttilo15).
To date, there is no specific cure or anti-viral medicine to treat COVID-19; therefore, maintaining healthy nutritional habits, following food safety recommendations, regular physical activity, coping with stress and adequate sleeping hours are of utmost importance during quarantine(Reference Muscogiuri, Barrea and Savastano16).
Despite the global administration of quarantine, little is known about its effect on the daily life of the general population in the MENA region. Therefore, the objective of this study was to assess eating habits and other lifestyle behaviours among residents of the MENA region after implementing lockdown and travel restrictions. Moreover, understanding the effect quarantine has on eating habits and lifestyle on individuals could be proved essential in designing intervention protocols in the possibility of another lockdown caused by a new wave of the same or mutated virulent virus.
Methods
Study design and participants
This cross-sectional, online survey was conducted in the Greater Middle East region between 15 April 2020 and 29 April 2020. The sample was drawn from eighteen countries within the MENA region, including Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen. Adults aged 18 years and older were recruited in the study using a convenience and snowball sampling method. This method depends on data collection from population members who are conveniently available to participate in the study. There was no restriction on the total number of participants; however, we aimed at a minimum of 100 participants from each country.
Survey questionnaire
A multicomponent, self-administrated online questionnaire was designed using Google Forms in English, Arabic and French. Two researchers from the College of Health Sciences at the University of Sharjah (United Arab Emirates) and the College of Food and Agriculture at United Arab Emirates University (United Arab Emirates) developed the initial draft of the questionnaire in English. The questions were developed based on the Short FFQ(Reference Osler and Heitmann17), the International Physical Activity Questionnaire Short Form(Reference Lee, Macfarlane and Lam18) and the Copenhagen Psychosocial Questionnaire(Reference Pejtersen, Kristensen and Borg19). The questions were then translated to Arabic and French and culturally adapted following internationally accepted methodology(Reference Wild, Grove and Martin20,Reference Beaton, Bombardier and Guillemin21) . The questionnaire was then reviewed by other members of the research team and was pilot-tested with thirty people from five countries in the MENA region. Minor modifications in wording were made to the questionnaire following the pilot-testing. The questionnaire that included fifty-eight questions was divided into seven sections: (1) socio-demographic background (thirteen items): age, sex, country of residence, education level, employment status, marital status, number of children, height, weight, health status, a work or study setting; (2) sources of information (two items): source of health-related information and source of nutrition-related information; (3) eating habits (nineteen items): meal type, meal frequency, eating breakfast, skipping meals, water intake, food choices, changes in food intake, following a diet, taking supplements and consuming herbs; (4) shopping habits (six items): using a grocery list, stocking up, online shopping, reading food labels and cleaning/sanitising groceries; (5) physical activity (eight items): exercising frequency and duration, household chores frequency and duration and sedentary time for work, study and entertainment; (6) stress and irritability (two items): physical exhaustion, emotional exhaustion, irritability and tension and (7) sleep (eight items) sleep duration, sleep quality, sleep disturbances and energy level. The full version of the questionnaire is available in online Supplementary Appendix 1.
The survey was distributed through emails and social media platforms. An information sheet and consent form appeared on the first page of the survey indicating the study description, main objective and the right of participants to withdraw at any time. The consenting participants then chose their desired language of communication and proceeded to complete and submit the questionnaire. All data were collected anonymously, and no incentives were given for completing the questionnaire.
This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the Research Ethics Committee at the University of Sharjah (REC-20-04-25-02) and the Social Sciences Research Ethics Committee at the United Arab Emirates University (ERS_2020_6106). Electronic informed consent was obtained from all participants.
Statistical analysis
All variables presented in this study are of categorical nature since they represent population characteristics. Categorical variables are presented as frequencies and percentages (%; relative frequency × 100). The χ 2 test was used to examine group differences for single observations in categorical variables, and McNemar’s test was used to investigate the difference between categorical variables before and during the COVID-19 pandemic (accounting for dependent observations). Results were significant for P value < 0·05. Statistical analysis was performed using Statistical Package for the Social Sciences version 26.0 (IBM).
Results
Demographic characteristics
The questionnaire was completed by 2970 participants. Most of them completed the survey in Arabic language (63·1 %) followed by English (33·8 %) and French (3 %). The demographic characteristics of the study population are presented in Table 1.
Demographic breakdown of surveyed participants (n 2970)
(Frequencies and percentages)
The male:female ratio was almost 1:3, with 28·4 % males. The majority of surveyed individuals were aged 18–25 years (29·6 %), were married (53·2 %), had no children (49·7 %), completed a university degree (48·5 %), worked full-time (44·8 %) and were working/studying from home during the lockdown (56·0 %). About one-third of the surveyed individuals reported weight gain during the COVID-19 pandemic (30·3 %), 16·9 % lost weight, 43·9 % maintained weight and 8·8 % did not know if there was a change in their weights. When asked to describe the general state of their health during the outbreak, the majority of surveyed individuals reported very good health state (37·0 %) and only 0·9 % reported poor state of health.
Eighteen countries from the MENA region (Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen) participated in the survey. The largest proportion of respondents was from the United Arab Emirates (13·1 %), Jordan (11·9 %), Lebanon (11·5 %), Saudi Arabia (8·3 %) and Palestine (6·4 %).
Sources of information
Table 2 presents sources of health- and nutrition-related information among the surveyed participants. Social media applications were the most common resource of information for both health and nutrition updates (70·3 and 70·8 %, respectively), followed by local and international health authorities for health-related information (53·9) and healthcare professionals for nutrition-related information (41·3 %).
Sources of health and nutrition information during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
* As multiple responses were allowed, the total number of responses is greater than the number of surveyed participants and the percentage of cases is displayed.
Eating habits
The results on eating habits (Table 3) showed an increase in the number of meals consumed per d during the COVID-19 pandemic compared with before the pandemic. The percentage of participants consuming five or more meals per d increased from 2·2 % before the pandemic to 6·2 % during the pandemic (P < 0·001). Moreover, the percentage of participants skipping meals decreased from 64·4 % before the pandemic to 45·1 % during the pandemic (P < 0·001). Among those who reported skipping meals, 60·8 % stated that lack of time was the main reason before the pandemic and 37·9 % stated that lack of appetite was the main reason for skipping meals during the pandemic. Although the results showed an increase in meal frequency, 74·0 % of participants reported not meeting the recommended water intake by drinking less than eight cups of water per d during the pandemic.
Eating habits pre- and during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
* As multiple responses were allowed, the total number of responses is greater than the number of surveyed participants and the percent of cases is displayed. P values based on α = 0·05 level of significance following McNemar’s test.
Table 4 presents the frequency of consumption for particular food products during the COVID-19 pandemic among MENA participants. As shown, 48·8 % of surveyed participants did not consume fruits on a daily basis and 32·5 % did not consume vegetables daily. However, 44·1 % of participants reported consuming sweets or desserts at least once every day and 32·9 % consumed salty snacks (chips, crackers and nuts) daily. Moreover, 70·5 % of participants had tea or coffee at least once per d. Energy drinks were less popular among the study participants compared with sweetened drinks, as 22·5 % of those surveyed reported consuming sweetened drinks at least once per d and only 4·5 % consumed energy drinks daily.
Frequency of consumption of particular foods during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
Shopping
More than two-thirds of the respondents (65·7 %) sanitised their groceries before storage. Moreover, 76·4 % of participants reported preparing a list before grocery shopping. Online shopping was less common among the surveyed participants as only one-third reported ordering groceries online (Table 5).
Shopping practices during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
Daily activities pre- and during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
* P values based on α = 0·05 level of significance following McNemar’s test.
Sleep pre- and during coronavirus disease 2019 (COVID-19) pandemic (n 2970)
(Frequencies and percentages)
* As multiple responses were allowed, the total number of responses is greater than the number of surveyed participants and the percent of cases is displayed. P values based on α = 0·05 level of significance following McNemar’s test.
Physical activity
Data about frequency of physical activity among surveyed population are presented in Fig. 1. Over one-third of participants reported not engaging in any physical activity before the COVID-19 pandemic (34·9 %), and even a higher percentage reported not participating in any physical activity during the pandemic (39·1 %) (P < 0·001). There was a significant association between the frequency of training during the pandemic and the reported change in weight (P < 0·001). Of those who reported training more than three times per week, 25·1 % lost weight and 48·9 % maintained their weight (P < 0·001). However, 36·6 % of people who did not train reported gaining weight.
(a) Physical activity pre- and during coronavirus disease 2019 (COVID-19) pandemic (P values represent significance levels of McNemar’s test). 
, Pre-COVID-19; 
, during COVID-19. (b) Physical activity during COVID-19 pandemic and change in weight (P values represent significance levels of χ
2 test). , Lost weight; , gained weight; 
, maintained weight; 
, I do not know.
About 35 % of participants spent more than 5 h/d on the computer for study or work purposes during the pandemic, compared with 24·0 % before the COVID-19 lockdown (P < 0·001). Moreover, the percentage of participants spending more than 5 h/d on screens for entertainment increased from 14·6 % before the pandemic to 37·5 % during the pandemic (P < 0·001) (Table 6).
Stress
The results on stress indicate an increase in the percentage of participants reporting physical and emotional exhaustion, irritability and tension all the time or a large part of the time during the COVID-19 pandemic (P < 0·001) (Fig. 2).
(a) Percentage of participants feeling physically exhausted pre- and during coronavirus disease 2019 (COVID-19) pandemic; (b) percentage of participants feeling emotionally exhausted pre- and during COVID-19 pandemic; (c) percentage of participants feeling irritable pre- and during COVID-19 pandemic and (d) percentage of participants feeling tense pre- and during COVID-19 pandemic (P values represent significance levels of McNemar’s test). , During COVID-19; , pre-COVID-19.
Sleep
Although the percentage of participants who were sleeping <7 h per night decreased from 51·4 % before the pandemic to 36·6 % during the pandemic, the percentages of participants reporting poor sleep quality increased from 17·1 % before the pandemic to 29·2 % during the pandemic (P < 0·001). Moreover, a higher percentage of participants reported sleep disturbances during the pandemic (63·2 %) compared with before (53·1 %). As a result, 29·6 % of the participants reported feeling lazy and less energised during the pandemic, compared with only 4·7 % before the pandemic (P < 0·001) (Table 7).
Discussion
This cross-sectional study provides a snapshot of the eating habits and lifestyle factors for a sample of 2970 MENA adult residents, who answered an online survey in April 2020, approximately 7–8 weeks following the lockdown implementation to control the spread of the COVID-19 pandemic.
The results of this study showed that about two-thirds of the participants obtained their health- and nutrition-related information mainly through social media applications followed by credible websites of national and international health organisations and healthcare professionals. Similarly, a study in Iran reported that 55·3 % of surveyed nurses obtained their COVID-19 updates and information from the website of the WHO and the Ministry of Health, followed by 48·2 % who relied on social media applications as a main source of information(Reference Nemati, Ebrahimi and Nemati22). During the COVID-19 outbreak, misinformation overload (‘infodemic’) has bombarded social media, which might have harmed the mental health of individuals(Reference Cinelli, Quattrociocchi and Galeazzi23). A study has shown that 82·0 % of participants were regularly exposed to social media, and the increase of exposure frequency was found associated with higher odds of anxiety and depression(Reference Gao, Zheng and Jia24). Thus, public awareness should be raised about reliable sources of information, especially during such crises.
An increase in the number of meals consumed per d and a reduction in the percentage of skipping meals during the COVID-19 pandemic were reported by the participants in the present study. This also explains the reported weight gain among this population. Likewise, a survey among French adults cohort revealed unfavourable nutritional behaviours of weight gain, decreased physical activity, increased sedentary time, increased snacking, decreased consumption of fresh fruits and vegetables and increased consumption of sweets, biscuits and cakes(Reference Deschasaux-Tanguy, Druesne-Pecollo and Esseddik25).
About three-quarters of the participants in this study reported drinking less than eight cups of water per d during the COVID-19 pandemic, out of which about a third reported drinking <1 litre/d. These quantities do not meet the recommended water intake set by the WHO of 2·9 litres/d for males and 2·2 litres/d for females(26). Likewise, in Italy, 86·6 % of surveyed participants reported drinking <2 litres of water per d during the COVID-19 pandemic and 26·2 % consumed <1 litre of water per d(Reference Di Renzo, Gualtieri and Pivari27).
Nearly half of the surveyed participants in this study did not consume fruits daily and one-third did not consume vegetables daily. On the other hand, one-third of the same population reported consuming sweets and salty snacks at least once per d. This unfavourable trend towards a Westernised diet was reported in an ecological study in the MENA region (1961–2007), as the proportion of energy derived from meat and vegetable oils increased significantly, while that from cereals, vegetables, fruits, milk and dairy products showed a descending trend(Reference Golzarand, Mirmiran and Jessri28).
The results clearly demonstrate the need for dietary support of individuals during lockdowns focusing on healthy eating choices. Consuming a diet rich in vegetables and fruits is especially important during these times due to their high content of antioxidants, phytonutrients and anti-inflammatory substances(Reference Zhu, Du and Xu29,Reference Bacchetti, Turco and Urbano30) . A recent meta-analysis of observational studies suggested that consuming fruits and vegetables is negatively associated with the metabolic syndrome and its risk factors(Reference Zhang and Zhang31). In addition to being a rich source of fibre, as well as various micronutrients and antioxidants, an adequate intake of fruits and vegetables might optimise the immunocompetence, a role indicated in both the prevention and treatment of COVID-19(Reference Stipp32).
Improving hygiene practices, cleaning groceries before storage and limiting grocery visits have been recommended by various health authorities globally during the COVID-19 pandemic(Reference Desai and Aronoff33). Fortunately, only 14·1 % of study participants did not clean groceries before storage. Likewise, a study in India reported an increase in the frequency of using sanitisers, hand washing and wearing masks among the study participants(Reference Roy, Tripathy and Kar34). These findings indicate the increasing awareness of participants towards personal hygienic measures to avoid COVID-19 infection.
In this study, more than one-third of the participants reported not engaging in any physical activity during the COVID-19 pandemic and of those, over one-third reported gaining weight. Recent studies have shown an association between COVID-19 severity and mortality with increased weight and BMI categories among other co-morbidities(Reference Simonnet, Chetboun and Poissy35,Reference Dietz and Santos-Burgoa36) . These findings further explain the weight gain witnessed in this study. Obesity rates in the MENA region are already alarmingly high and are associated with non-communicable diseases such as type 2 diabetes, CHD and stroke(Reference Kilpi, Webber and Musaigner37). The unprecedented self-quarantine mandate during the COVID-19 pandemic might have worsened this health problem not only among adults but also among children(Reference Zachary, Brianna and Brianna38,Reference Rundle, Park and Herbstman39) . Studies have indicated that physical inactivity results in changes to body composition (e.g. increase in total body fat and abdominal fat) associated with increased insulin resistance, reduced cardiorespiratory fitness and increased dyslipidaemia(Reference Bowden Davies, Sprung and Norman40,Reference Henson, Edwardson and Morgan41) . These changes can occur in as little as 2 weeks of physical inactivity and are reversible in younger people, but less so in older adults(Reference Bowden Davies, Pickles and Sprung42). A recent review suggested similar metabolic consequences during the COVID-19 confinement due to physical inactivity and overeating(Reference Martinez-Ferran, de la Guía-Galipienso and Sanchis-Gomar43). The review recommended nutritional interventions and resistance training as potential strategies to prevent such deleterious metabolic effects(Reference Martinez-Ferran, de la Guía-Galipienso and Sanchis-Gomar43). It is challenging, however, to exercise during lockdown when gyms and parks are closed and people are stressed, depressed and isolated(Reference Abbas, Fathy and Fawzy44,Reference Burtscher, Burtscher and Millet45) . Awareness about different types of home exercises (resistance training, yoga, pilates, dancing, balance exercise, etc.) and their benefits on weight status and mental health is essential(Reference Jiménez-Pavón, Carbonell-Baeza and Lavie46,Reference Czosnek, Lederman and Cormie47) .
During the COVID-19 pandemic, people are exposed to a stressful situation for an unknown duration of time. This could disrupt sleep quality, which has a direct effect on the physical functioning during the subsequent day(Reference Sher48). Our study found an increase in sleep hours during the pandemic compared with before the pandemic. Moreover, sleep disturbances have been reported by over 60 % of participants, and about 30 % of them had poor sleep quality during the pandemic. Similarly, a survey in Italy reported an increase in the percentage of participants sleeping 7–9 h per night from 49·9 % before the pandemic to 54·8 % during the pandemic(Reference Di Renzo, Gualtieri and Pivari27). In addition, a survey in China indicated that 18·2 % of participants had poor sleep quality, and the percentage increased to about 24 % among healthcare workers(Reference Huang and Zhao49).
The COVID-19 pandemic has been associated with increased anxiety and distress, which in turn affects the lifestyle of individuals(Reference Shigemura, Ursano and Morganstein50,Reference Wang, Pan and Wan51) . A recent review highlighted four different mechanisms that stress can be linked to overweight and obesity including: (1) cognitive processes such as self-regulation; (2) behavioural effect through inducing overeating, shortening of sleep and decreasing physical activity; (3) physiological changes in the hypothalamic–pituitary–adrenal axis and (4) stimulating the production of biochemical hormones and peptides such as leptin, ghrelin and neuropeptide Y(Reference Tomiyama52). Additionally, the main reason for skipping meals among participants in the present study before the pandemic was due to lack of time; however, during the pandemic, participants skipped meals mainly due to lack of appetite, which is common in the presence of depression(Reference Khan and Khan53). The results of our study indicate an increase in the percentage of participants reporting physical and emotional exhaustion, irritability and tension all the time, or a large part of the time during the COVID-19 pandemic.
This study was conducted during April 2020. By that time, all countries included in the survey have already declared the state of emergency due to COVID-19(54). The number of confirmed COVID-19 cases by the end of April widely varied between MENA countries and ranged between 21 000 cases in Saudi Arabia and six cases in Yemen(55). Countries like Saudi Arabia, United Arab Emirates and Qatar had over 10 000 confirmed cases by the end of April. However, Jordan, Palestine, Syria, Yemen, Libya and Sudan had <500 cases(55). The number of deaths also varied. United Arab Emirates, Jordan, Lebanon, Palestine, Bahrain, Sudan, Iraq, Syria, Kuwait, Oman, Tunisia, Yemen, Libya and Qatar had <100 deaths by the end of April, while Morocco, Egypt, Algeria and Saudi Arabia reported over 150 deaths in the same period(55). Although there was a variation in the number of cases and deaths between MENA countries, all countries included in the survey implemented strict quarantine measures between mid/end of March 2020 until June 2020 or even longer(54). Countries like Saudi Arabia, Bahrain, Sudan, Egypt and United Arab Emirate did not start easing restrictions until the end of June, while Yemen announced easing lockdown restrictions in mid-July(54). Restrictions included closure of boarders, closure of non-essential businesses, nightly travel curfew, local movement and travel restrictions, facilitating remote working and online learning, and cancelling prayers to avoid mass gathering events(54). Considering different stages of the pandemic in different MENA countries, the survey might not reflect such as diverse behaviour of the entire population from those places.
It is acknowledged that this study has several limitations, including the use of a self-reported questionnaire which might cause some respondent bias or misreporting of data; the cross-sectional study design which does not allow for causality evaluation and the use of convenience sample which limits generalisability of the results; although the aim was to get a minimum of 100 participants from each country, six countries had fewer participants. Also, the information on infection with COVID-19 and medical history was not determined in the study. Such analysis would not only require a longer questionnaire, which might have decreased the compliance and response rate, but also would have required a larger sample size based on the prevalence of all the factors to acquire adequate study power. Another potential limitation of the study might be a recency bias which suggests that recent habits are more easily retrieved from memory; however, data were collected only 1 month after lockdown to minimise memory failure for previous habits. The study information was acquired after lockdown, and although comparisons are critical to be made to draw inferences, no conclusive remarks can be drawn. Nevertheless, developing a web survey allowed a rapid assessment of eating and lifestyle habits in a very critical period of the pandemic and from around eighteen countries in the MENA region. It also facilitated the anonymity of the respondents, thus reducing the social desirability bias. The present study provides unique information about unprecedented circumstances that have faced mankind in recent history.
Conclusion
The results of the present study suggest that the COVID-19 pandemic triggered a variety of unhealthy lifestyle changes, physical inactivity and psychological problems in the MENA region. There is also substantial need to increase awareness regarding healthy nutritional habits, general safety measures, importance of home-based physical activity and stress relief mechanisms. Finally, the provision of reliable health and nutrition information is essential as well as psychological support during the pandemic.
Acknowledgements
The authors would like to acknowledge Tathqeef Health Treatment Undertakings Services for their support with the dissemination of the survey through their network.
This research received no specific grant from any funding agency, commercial or not-for-profit sectors.
L. C. I., T. M. O. and A. S. A. D. conceptualised and designed the project; L. C. I., T. M. O., A. S. A. D., M. N. M., M. H., S. E. and S. T. S. prepared the original protocol; L. C. I., M. N. M. and S. T. S. did data management and analysis in collaboration with H. H.; L. C. I., T. M. O., M. N. M., A. S. A. D., A. A. M., A. H. J., A. Z., D. O. A. J., H. I. A., H. A. S., H. H., L. M. R. A., L. S., M. H., R. R. S. O., S. E., Z. A. M. S. and S. T. S. collaborated in the overall implementation and data collection of the project; L. C. I., M. N. M., A. S. A. D. and S. T. S. wrote the original report with input from all co-authors. All co-authors read the report and made suggestions on its content.
The authors declare that there are no conflicts of interest.
Supplementary material
For supplementary material referred to in this article, please visit https://doi.org/10.1017/S0007114520004547
Open access
