EN PT

Artigos

0222/2024 - Food environment as an aggravating factor of food insecurity among Brazilian public school students: ESANP study
Ambiente alimentar como fator agravante da insegurança alimentar entre estudantes de escolas públicas brasileiras

Autor:

• Matheus Santos Cordeiro - Matheus, S. C. - <mathheuscordeiro.mc@gmail.com>
ORCID: https://orcid.org/0000-0001-6794-8259

Coautor(es):

• Irene Carolina Sousa Justiniano - Justiniano, I. C. S. - <irene.justiniano@aluno.ufop.edu.br>
ORCID: https://orcid.org/0000-0002-1635-3367

• Adriana Lúcia Meireles - Meireles, A. L. - <adriana.meireles@ufop.edu.br>
ORCID: https://orcid.org/0000-0002-1447-953X

• Natália Caldeira de Carvalho - Carvalho, N. C. - <natalia.carvalho@ufop.edu.br>
ORCID: https://orcid.org/0000-0002-3372-2531

• Raquel de Deus Mendonça - Mendonça, R. D. M. - <raquel.mendonca@ufop.edu.br>
ORCID: https://orcid.org/0000-0001-7599-8715

• Mariana Carvalho de Menezes - Menezes, M.C - <mariana.menezes@ufop.edu.br>
ORCID: https://orcid.org/0000-0002-3069-7959



Resumo:

The social restriction measures of the COVID-19 pandemic have impacted the families\' access to food. This study aims to describe the relationship between perception of access to fruits and vegetables (FV) and ultra-processed foods (UPF) sold in the neighborhood of municipal public school students, and the prevalence of food insecurity (FI) during suspension of classes in two Brazilian municipalities. A cross-sectional study with a representative sample was con-ducted through telephone interviews. FI was assessed using the Brazilian Scale of Food Inse-curity (EBIA) and the food environment through questions about the perception of access to FV and UPF. Among the 475 households investigated, 69.7% were experiencing FI. The ma-jority demonstrated a positive perception regarding the ease of acquisition (64.0%), quality (67.6%), and variety (57.9%) of FV sold in the neighborhood. Regarding cost, 73.1% disa-greed that FV were cheap, with this prevalence being higher in households with FI and lower income. In contrast, the majority agreed that it is easy to buy UPF (85.9%) and that those are available in a wide variety (78.9%). Jointly with the high prevalence of FI, the food environ-ment in which families are situated complicates access to healthy foods, while it is abundant in UPF.

Palavras-chave:

Food insecurity; COVID-19; Access to healthy food; Environment and Public Health.

Abstract:

As medidas de restrição social da pandemia de COVID-19 impactaram o acesso das famílias aos alimentos. Este estudo tem como objetivo descrever a relação entre a percepção do acesso a frutas e verduras (FV) e alimentos ultraprocessados (AUP) vendidos na vizinhança dos alu-nos de escolas públicas municipais e a prevalência de insegurança alimentar durante a suspen-são das aulas em dois municípios brasileiros. Um estudo transversal com uma amostra repre-sentativa foi realizado por meio de entrevistas telefônicas. A insegurança alimentar foi avalia-da utilizando a Escala Brasileira de Insegurança Alimentar (EBIA) e o ambiente alimentar por meio de perguntas sobre a percepção do acesso a FV e AUP. Entre os 475 domicílios investi-gados, 69,7% estavam vivenciando insegurança alimentar. A maioria demonstrou uma percep-ção positiva em relação à facilidade de aquisição (64,0%), qualidade (67,6%) e variedade (57,9%) das FV vendidas na vizinhança. Em relação ao custo, 73,1% discordaram que as FV eram baratas, com essa prevalência sendo maior em domicílios com insegurança alimentar e renda mais baixa. Em contraste, a maioria concordou que é fácil comprar AUP (85,9%) e que esses estão disponíveis em grande variedade (78,9%). Juntamente com a alta prevalência de FI, o ambiente alimentar em que as famílias estão situadas dificulta o acesso a alimentos sau-dáveis, enquanto é abundante em UPF.

Keywords:

Insegurança alimentar; COVID-19; Acesso a alimentos saudáveis; Meio Ambiente e Saúde Pública.

Conteúdo:

1 Introduction
According to the Food and Agriculture Organization (FAO) there has been a significant global increase in food insecurity (FI), particularly since 2020. It is estimated that approximately 828 million people experienced hunger in 2021 (an increase of 150 million since 2019) 1. In Brazil, national surveys had already revealed a significant setback with the decline in food security since 2013 2-5 and, especially in the context of the COVID-19 pandemic, when more than half of the Brazilian population was living with FI to some degree 3,4.
FI is recognized as the absence of regular and permanent access to quality food in sufficient quantities for sustaining a healthy life 2. Associated with this context, it is hypothesized that households experiencing FI have a less favorable perception of the food environment in their neighborhood, especially regarding the accessibility, quality, and variety of FV 6. In Brazil, the consumption of ultra-processed foods (UPF) has continued to rise over the past decades (Increase of 0.4% per year between 2002-2009, and 0.2% between 2008-2018) 7-10, particularly among children and adolescents nationwide 8,9,11,12. This trend aligns with a notable reduction in the availability of staple foods such as rice and beans along with a low availability of fruits and vegetables (FV) in Brazilian households 7-13.
With the COVID-19 pandemic, measures were implemented to contain viral spread. Isolation and social distancing became essential and had a major impact on the lives of the population 14,15. Businesses, schools, and institutions were closed, and there were restrictions on public transportation 15,16. These pandemic-imposed restrictions affected the economy, resulting in reduced household incomes and an increase in poverty 16,17, and impacted the entire food supply chain from production to food access 14,18-20. Such impact contributed to rising prices, particularly in Latin America, exacerbating a scenario of high food inflation 1,22.
Such changes, in addition to affecting the purchasing power of families, encompass alterations in the food environment, influencing various dimensions of food access and how individuals interact with food systems. Consequently, there were difficulties in accessing healthy foods, especially for families already in a situation of vulnerability, affecting healthy eating practices and the assurance of the Human Right to Adequate Food (HRAF) 17,20,22.
For families of public school students, the situation can be even more serious, as the closing of schools affected the full execution of the National School Feeding Program (PNAE), which may have increase the risk of public school student families experiencing some degree of FI. Considering the role the program plays as a social protection policy and guarantee of food security, it is crucial to ensuring the HRAF for millions of Brazilian public school students 23,25.
The interruption of school meals not only impairs the quality and quantity of students' meals but also affects families’ income as the household spending on food increases. Furthermore, the actions taken (distribution of basic food baskets, meal kits or food vouchers) in an attempt to mitigate the effects of the suspension of school meals may have been insufficient to guarantee access to enough food for families' needs 23,25,26.
Thus, the COVID-19 pandemic deepened numerous social issues and impacted food systems, including dimensions of the food environment, which, in turn, may have compromised access to food and dietary practices, increasing the risk of families experiencing FI. Despite the wealth of research on various aspects of food security, there is a conspicuous dearth of investigations delving into the nuanced connections and influences that the food environment exerts on food security outcomes. In this regard, the aim of this study is to describe the relationship between the prevalence of food insecurity and the perception of access to FV and UPF in the vicinity of the households of students from municipal schools in two medium-sized municipalities in the state of Minas Gerais during the suspension of classes.

2 Methods
2.1 Design and location
This is a cross-sectional study using data obtained through the Longitudinal Study of Food and Nutritional Security in the COVID-19 Pandemic (ESANP), in two medium-sized Brazilian municipalities (Ouro Preto and Mariana) located in the state of Minas Gerais 25.
Ouro Preto is a municipality with approximately 74,558 inhabitants, a Human Development Index (HDI) of 0.741, a school enrollment rate (6 to 14 years of age) of 98.8%, and the average monthly salary for formal workers is equivalent to 3.1 minimum wages (US$ 632,07 - IPEA exchange rate 27). Mariana has an estimated population of 61,830 inhabitants, a HDI of 0.742, a school enrollment rate (6 to 14 years of age) of 98%, and the average monthly salary for formal workers is equivalent to 2.5 minimum wages (US$ 509,73 - IPEA exchange rate 27) 28.

2.2 Sample and data collection
The calculation to determine the number of participating students was carried out through a proportional stratification representative of the modalities of basic education in the municipal network, including daycare centers, kindergartens, and elementary schools 25. This study was approved by the Ethics Committee of the Federal University of Ouro Preto (CAAE: 32005120.6.0000.5150) and informed verbal consent was obtained from all participants. The consent was recorded in mp4 format by an interviewer.
Mariana and Ouro Preto are neighboring municipalities, and according to school census data in 2020, they had 13,219 students enrolled in public municipal schools in both cities, aged between 6 months and 17 years, all eligible for the study sample. Thus, considering a margin of error of 5% and a 95% reliability for the calculation, a minimum sample size of 374 individuals was obtained, allocated proportionally to their strata by education level (nursery, infant, and elementary schools). A percentage of recomposition (60%) was added to the sample size, considering the anticipated losses arising from refusals throughout the longitudinal study 25.
The data were collected through telephone interviews with the adults in charge of purchasing and/or preparing food in the students' households. The education departments of the municipalities provided contact information, such as the students' and their respective responsible adults’ names, and contact telephone numbers. In general, the interviews lasted approximately 20 to 25 minutes and were conducted by trained interviewers. They were available to conduct interviews from Monday to Saturday (on alternate days), during business hours or by appointment. Phone lines that were consistently busy or unavailable after five unsuccessful contact attempts were excluded from the study 25. For the present study, the data used referred to the first segment, collection occurred between March and May 2021, the period when children and adolescents were at home due to the suspension of classes. A rejection rate of 22.4% was applied concerning the baseline, ensuring the sample's representativeness (n=475).

2.3 Variables
To measure FI, we used the Brazilian Food Insecurity Scale (EBIA), which is a validated instrument for the Brazilian population, widely recommended and used in national studies 2,29-32. The EBIA is a psychometric scale that assesses the intra-family perception of food access over the previous 3 months. The analysis is conducted through a scoring gradient resulting from the sum of the final scores of the 14 closed questions (yes/no answers) that compose the scale when there is a resident under 18 years old in the household. The questions encompass the perception of concern regarding food scarcity, the quality of the diet, and the quantitative reduction in food. Each affirmative answer (yes) corresponds to 1 point and each negative answer (no) is graded zero 30.
According to this scoring, the EBIA allows for the identification of degrees of FI: food security: 0; mild food insecurity: 1 to 5; moderate food insecurity: 6 to 9; severe food insecurity: 10 to 14 points 2.
Regarding family income, we considered the total monthly family income, i.e., the sum of the earnings of all household residents, by minimum wage bracket for the year 2021 (up to half a minimum wage [US$ 102.00], 1 to 2 minimum wages [US$ 203,89 to $407,78], 3 minimum wages or more [> US$ 611,68] based on IPEA exchange rate 27). It was also considered whether there was a reduction in family income during the pandemic (yes/no) and the perceived impact of such reduction in income (no impact/very large/large, medium, small/very small) over the past nine months (since the last baseline questionnaire).
The perceived food environment, especially in relation to the accessibility/variety of fresh foods (fruits and vegetables) and UPF (soft drinks, cookies, packaged snacks, candies, and other foods) 33, was assessed through the perception of access to food purchases in the neighborhoods of the students' households. A questionnaire adapted from the National Study of Child Feeding and Nutrition (ENANI), a nation-wide scientific survey that assesses children in households in all regions of Brazil, including rural and urban areas, was used 34. The following statements were assessed using a Likert scale of agreement, ranging from strongly disagree to strongly agree: 1) “It is easy to buy fruits and vegetables in your neighborhood”; 2) “Fruits and vegetables are of good quality in your neighborhood"; 3) "There is a wide variety of fruits and vegetables in your neighborhood"; 4) "Fruits and vegetables are cheap in your neighborhood"; 5) "It is easy to buy soft drinks, cookies, packaged snacks, sweets, and other treats in your neighborhood"; 6) "There is a wide variety of soft drinks, cookies, packaged snacks, sweets and other treats in your neighborhood".
To describe the sociodemographic characteristics of the sample, variables related to the students' households were considered, such as receiving social program benefits (yes/no) and receiving government emergency financial aid in the last month prior to the survey (yes/no). The total number of individuals in the household (2/3/4/5 individuals or more) was also considered, as well as the number of adults in the household (1/2/3/4 adults or more) and the number of children in the household (1/2/3 children or more).
Regarding the information about the head of the family, i.e., the person with the highest income in the household, the following was included: sex (female/male), skin color (yellow/white/brown/black), age (categorized based on national surveys: between 18-24 years/25-34 years/35-44 years/45-54 years/55-64 years/65 years or older) 2, marital status (married/single/divorced/widowed), and education level (Illiterate /Incomplete elementary education/Complete elementary education/Incomplete middle school education/Complete middle school education/Incomplete high school education/Complete high school education/Incomplete higher education/Completed higher education).

2.4 Data analysis
After the data were obtained, they were organized in Excel spreadsheets and then imported into Stata 14.2 software. Relative frequency (%) and a 95% confidence interval (CI) were used to describe the data. The descriptive analysis of the perception of the food environment was stratified according to the level of household FI (food security/mild food insecurity/moderate and severe food insecurity) and by family income (up to half the minimum wage/1 to 2 minimum wages/3 minimum wages or more).
In the present study, the EBIA responses were categorized in two distinct ways. To characterize the sample in addition to describing all the degrees of FI, we also considered the grouping of households in a situation of food security vs. FI (mild/moderate/severe). Subsequently, when analyzing perceptions of the food environment in relation to food security and insecurity, the EBIA responses were grouped into three categories: food security, mild FI, and moderate/severe FI. Additionally, the Likert scale responses were grouped into three categories: agree, disagree, and no opinion (neither agree nor disagree).

3 Results
A total of 475 households were assessed, with 275 from the municipality of Ouro Preto and 200 from the municipality of Mariana. Overall, the majority of families had a monthly family income between 1 and 2 minimum wages (63.1%), were not beneficiaries of social assistance programs (54.6%), and did not receive emergency financial aid from the federal government in the month prior to the interview (72.2%).
Regarding income, 62.3% of the households reported a decrease in family income during the pandemic, with 36.6% of them considering the impact of the income decline as very large or large.
In relation to the head of the family, 50.1% were men, and 52.6% self-identified as black/brown. The majority were between 35 and 44 years old (40.5%), were married (61.7%), and had completed high school and/or limited college education (43.6%) (Table 1).

[Table 1]

In relation to the FI situation (Figure 1), 69.7% of the households presented some degree of FI (n = 331), with mild FI observed in 55.2% of them (n=262).

[Figure 1]

Table 2 displays the perception of the food environment in both municipalities, categorized by family income. Overall, it can be observed that regarding the purchase of FV in the neighborhood, the majority agrees that they experience ease in purchasing such foods (64.0%), that they have good quality (67.6%), and that they are available in a wide variety for purchase (57.9%) across all income strata; however, it is noteworthy that as family income increases, a higher proportion of individuals agree about the ease of access. Conversely, concerning the cost of FV, we observe the opposite trend; 73.1% of individuals disagree that such foods are cheap in their neighborhood, regardless of income strata. Furthermore, the lower the family income, the higher the percentage of disagreement regarding such foods being inexpensive. Moreover, the vast majority agrees that UPF are easily accessible for purchase (85.9%) and are available in a wide variety in the neighborhood (78.9%) across all income brackets.

[Table 2]

When evaluating the perception of the food environment according to FI status, we can observe from Table 3 that regardless of FI status, the majority of respondents agree with the ease of purchase, the good quality, and the wide variety of FV available in the neighborhood (64.0%, 67.6%, and 57.9%, respectively).
However, households experiencing food security showed the highest proportions of positive responses regarding ease of purchase (71.5%), good quality (75.0%), and wide variety of FV in the neighborhood (65.3%). In contrast, households experiencing moderate or severe FI had a higher level of disagreement regarding the variety of FV in the neighborhood (44.9%) and such foods being cheap (88.4%).
Regardless of the FI status, the majority of individuals disagree that FV are inexpensive in their neighborhood (73.1%). On the other hand, the majority agrees that UPF are easily accessible for purchase (85.9%) and that such foods are available in a wide variety in the neighborhoods (78.9%).

[Table 3]

4 Discussion
The results indicate a high prevalence of FI in the households of the students assessed in the two Brazilian municipalities during the COVID-19 pandemic. Additionally, households that expressed a more negative perception of the food environment, especially regarding the access to FV, were those experiencing moderate/severe FI, and concomitantly, those with lower income levels.
As we can observe in the study, the literature indicates that in recent years, the prevalence of FI has been increasing in Brazil and around the world 1,5,35. National surveys have shown a significant rise in FI in Brazil, especially mild FI, compared to previous studies 3-5, particularly during the COVID-19 pandemic 3,4.
In general, it is observed that families experiencing FI are situated in a food environment with limited availability and variety of healthy foods options for purchase and high prices 36-38. However, there is a lack of national studies that elucidate the relationship between food environment characteristics and FI. To our knowledge, this is the first epidemiological study to assess such relationship in households of public school students in two municipalities.
In the present study, for both socioeconomic strata and degrees of FI, the majority of households demonstrated a positive perception regarding the ease of purchase, quality, and variety of FV available in the neighborhood. However, the percentages of disagreement are significant and should not be overlooked. These findings may suggest the importance of other factors, such as financial accessibility to food, considering that even with proximity to healthy and quality food, families may not have the means to purchase these items 1,21,22,39.
In line with this hypothesis, the results herein clearly demonstrate that the vast majority of households, especially those in severe FI and with lower income, disagree that FV are cheap. Therefore, we can infer that family income and food prices are extremely relevant factors for these families' access to healthy foods, particularly for vulnerable families 39,40.
These results align with studies that highlight economic factors as one of the main determinants of food choice, especially for individuals with low income 39-44. In this context, higher food prices can exacerbate the severity of FI among the most vulnerable families. Moreover, rising food inflation has a significant impact on the purchasing power of households, especially lower-income families, who need to allocate a larger portion of their budget to food 4,24,45,46. In the Brazilian scenario, according to the National Broad Consumer Price Index (IPCA), the year-end inflation rate in 2021 was 10.6%, the highest annual accumulated rate since 2015 47. In this context, as per a report by FAO et al. (2021), the elevated cost of nutritious diets, combined with high levels of income inequality, results in healthy diets being inaccessible to around 3 billion people worldwide, especially the poorest 35.
Another aggravating factor for FI, which we can associate with the results herein, is the higher cost of fresh foods compared to highly processed foods, especially considering a food environment increasingly abundant and dominated by the latter 10,24,43,48-51. When comparing the agreement percentages for fresh foods assessed in the survey, we can infer that highly processed foods are more accessible, and, especially, they are available in great variety in the neighborhoods of the analyzed households, for both income strata and FI levels. This potential scenario is a consequence of a food production, processing, and distribution system that is increasingly focused on highly processed foods 52-54, to the detriment of unprocessed and minimally processed foods 55-58.
In addition, the literature is clear in demonstrating that socioeconomically disadvantaged areas may have lower densities of establishments selling food in general, particularly those that predominantly offer fresh and minimally processed foods, contributing to health disparities 59-63. Moreover, the agreement rates regarding the variety and ease of purchase of UPF increase especially with income in our study - a trend also observed in other research - it is important to note a trend towards national standardization for higher consumption of UPF 64. This is also propelled by the characteristics of these products, such as the use of cheap ingredients, long shelf life, ease transportation, low cost, hyperpalatability, and aggressive marketing 50,58,59.
It highlights the concerning rise in exposure to a wide variety of UPF available among children and adolescents, as evidenced in recent studies 65,66,67 and within socially vulnerable groups 64. The escalation in the consumption of UPF has been linked, along with other risk factors, to the rise in childhood obesity among schoolchildren. It is also a risk factor for the development of chronic non-communicable diseases and other adverse health outcomes 68.
The results of this study should be interpreted in the broader context experienced on the global and Brazilian stage. Brazil had already faced high rates of unemployment and informal labor, and with the outbreak of the pandemic, a larger number of families suffered from job loss, reduced salaries, and low income 18,69,70.
Furthermore, in response to the suspension of classes, state and municipal governments, through the PNAE, distributed kits or basic food baskets to the families of the students, aiming to maintain the right to food for these public school students. Despite the importance of these actions, they may have been insufficient to guarantee access to enough food to meet the needs of those families, as they were unable to reduce FI indicators 3,24,25. Moreover, for those states and municipalities that opted for transferring financial resources to families, ensuring the nutritional quality of the purchased food becomes even more challenging, potentially favoring the purchase of UPF based on the results observed here 26.
Such factors can lead families to reduce both the quality and quantity of the food they consume, which directly contributes to an increase in FI. In addition to these factors, Brazil has experienced a scenario marked by political instability and the dismantling of social protection policies, especially those aimed at promoting food and nutritional security and a sustainable, healthy food system 24,71-73.
This study has limitations, such as the use of telephone interviews, potentially leading to participation bias. Additionally, the questionnaire lacked options for households with incomes between half a minimum wage and 1 minimum wage or between 2 and 3 minimum wages. Lastly, the study focused exclusively on families of students in public schools, limiting the generalizability of the results to all students in the municipalities.
As strengths of the study, it is worth highlighting the utilization of the full version of EBIA, a validated instrument for the Brazilian population and employed in national surveys 2,29. The random stratified sampling process is representative of the population of students in public schools in the two municipalities. Besides, the study contributes to understanding the food environment in medium-sized Brazilian municipalities, given that most studies are conducted in large cities 74, and it aids in comprehending the effects of the COVID-19 pandemic as an exacerbating factor in the food crisis experienced in Brazil.
Given the significant prevalence of FI in households of students within an environment highly conducive to UPF, it is imperative to investigate extensively how these factors interact and influence disparities in access to healthy foods. There is a clear demand for comprehensive longitudinal research that explores this relationship comprehensively.
Furthermore, there is a clear need for policies that provide support to the most vulnerable populations, guaranteeing food environments that promote the HRAF, in particular ensuring access (at all levels) to healthy food, as an essential measure to prevent the elimination of hunger. It is essential to develop and implement policies and interventions through a multisectoral approach that specifically targets poverty and addresses the obstacles to accessing healthy diets.
Additionally, a strategic plan is essential to ensure the continued provision of school meals by the PNAE during interruptions to classes, both in emergency and non-emergency scenarios.

5 Conclusion
A high prevalence of FI was observed in the households of students, along with a highly abundant food environment that promotes UPF. It is noteworthy that the most vulnerable families have less financial access to healthy food, highlighting the importance of the economic situation in nutrition.
The COVID-19 pandemic has exacerbated social and food inequalities, deepening the food crisis in Brazil. This context contributes to the expansion of a food environment that obstructs access to basic and healthy foods, while facilitating access to UPF. This has an undeniable impact on the population's food insecurity, contributing to malnutrition in all its forms, particularly among children and adolescents.

6 Acknowledgments
We thank all the ESANP participants and their collaborators.

7 References

[1] Food and Agriculture Organization of the United Nations. The State of Food Security and Nutrition in the World. Repurposing food and agricultural policies to make healthy diets more affordable. FAO [Internet] 2022 [cited 2023 Jan 30]. Available from: https://doi.org/10.4060/cc0639en

[2] Brazilian Institute of Geography and Statistics. Household budget survey 2017–2018: Analysis of food security in Brazil. IBGE [Internet] 2020 [cited 2022 Jan 30]. Available from: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101749.pdf

[3] Rede Penssan. Brazilian Research Network on Food and Nutrition Sovereignty and
Security, VIGISAN. National Survey on Food Insecurity in the Context of the Covid-19 Pandemic in Brazil. Rede Penssan [Internet] 2021 [cited 2022 Jan 30]. Available from: https://olheparaafome.com.br/pesquisa2020/

[4] Rede Penssan. Brazilian Research Network on Food and Nutrition Sovereignty and Secu-rity, VIGISAN. National Survey on Food Insecurity in the Context of the Covid-19 Pandem-ic in Brazil. Rede Penssan [Internet] 2022 [cited 2022 Jan 30]. Available from: https://olheparaafome.com.br/

[5] Food and Agriculture Organization of the United Nations. Regional Overview of Food Security and Nutrition – Latin America and the Caribbean 2022: Towards Improving Afford-ability of Healthy Diets. FAO [Internet] 2023 [cited 2023 Jan 30]. Available from: https://doi.org/10.4060/cc3859es

[6] Chaparro MP, Lopez MA, Hernandez J, Brewer JD, Santos MP, Paz-Soldan VA. The as-sociation between the observed and perceived neighbourhood food environment and house-hold food insecurity in a low-income district in Lima, Peru. J Nutr Sci 2022;11:e86.

[7] Martins AP, Levy RB, Claro RM, Moubarac JC, Monteiro CA. Increased contribution of ultra-processed food products in the Brazilian diet (1987-2009). Rev Saude Publica 2013; 47(4):656-65.

[8] Brazilian Institute of Geography and Statistics. Family Budget Survey 2017-2018: Analy-sis of personal food consumption in Brazil. IBGE [Internet] 2020 [cited 2023 Dec 10]. Avail-able from: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101742.pdf

[9] Levy RB, Andrade GC, Cruz GLD, Rauber F, Louzada MLDC, Claro RM, Monteiro CA. Three decades of household food availability according to NOVA - Brazil, 1987-2018. Rev Saude Publica 2022; 8;56:75.

[10] Ribeiro GJS, de Araújo Pinto A. Consumption of Ultra-Processed Foods in Brazilian Children: An Analysis of Regional Trends. J Pediatr Nurs 2021; 61:e106-e111.

[11] Neri D, Steele EM, Khandpur N, Cediel G, Zapata ME, Rauber F, et al. NOVA Multi-Country Study Group on Ultra-Processed Foods, Diet Quality and Human Health. Ul-traprocessed food consumption and dietary nutrient profiles associated with obesity: A multi-country study of children and adolescents. Obes Rev 2022; 23 Suppl 1:e13387.

[12] Canella DS, Louzada MLDC, Claro RM, Costa JC, Bandoni DH, Levy RB, Martins APB. Consumption of vegetables and their relation with ultra-processed foods in Brazil. Rev Saude Publica 2018; 52:50.

[13] Oliveira N, Santin F, Paraizo TR, Sampaio JP, Moura-Nunes N, Canella DS. Lack of va-riety of fruit and vegetables available in Brazilian households: data from the Household Budget Surveys of 2008-2009 and 2017-2018. Cien Saude Colet. 2021; 26(11):5805-5816.

[14] Chu IYH, Alam P, Larson HJ, Lin L. Social consequences of mass quarantine during epidem-ics: a systematic review with implications for the COVID-19 response. J Travel Med 2020; 27(7).

[15] Aquino EML, Silveira IH, Pescarini JM, Aquino R, Souza-Filho JA, Rocha AS, et al. Social distancing measures to control the COVID-19 pandemic: potential impacts and chal-lenges in Brazil. Cien Saude Colet 2020; 25(1):2423–46.

[16] Bezerra ACV, Silva CEM, Soares FRG, Silva JAM. Factors associated with the popula-tion's behavior during social isolation in the COVID-19 pandemic. Cien Saude Colet 2020; 25(1):2411–21.

[17] Neves JA, Machado ML, Oliveira LDD, Moreno YMF, Medeiros MAT, Vasconcelos FDG. Unemployment, poverty, and hunger in Brazil in Covid-19 pandemic times. Revista de Nutrição 2021; 34.

[18] Pereira M, Oliveira AM. Poverty and food insecurity can increase as threats of COVID-19 spreads. Public Health Nutr 2020; 23(17):1–10.

[19] HLPE. Impacts of COVID-19 on food security and nutrition: developing effective policy responses to address the hunger and malnutrition pandemic. HLPE issues paper [Internet] 2020 [cited 2022 Aug 01]. Available from: http://www.fao.org/3/cb1000en/cb1000en.pdf

[20] HLPE. Impacts of COVID-19 on food security and nutrition: developing effective policy responses to address the hunger and malnutrition pandemic - 3rd Edition. HLPE issues paper [Internet] 2021 [cited 2022 Aug 01]. Available from: https://www.fao.org/3/cb6720en/cb6720en.pdf

[21] Darmon N, Drewnowski A. Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis. Nutr Rev 2015;73(10):643-660.

[22] Food and Agriculture Organization of the United Nations. Panorama regional de la segu-ridad alimentaria y nutricional - América Latina y el Caribe 2022: hacia una mejor asequibili-dad de las dietas saludables. FAO [Internet] 2023 [cited 2023 Jan 30]. Available from: https://doi.org/10.4060/cc3859es

[23] Amorim ALB de, Ribeiro JJRS, Bandoni DH. National School Feeding Program: strate-gies to tackle food insecurity during and after COVID-19. Revista de Administração Pública 2020; 54(4):1134–45.

[24] Ribeiro-Silva RC, Pereira M, Campello T, Aragão E, Guimarães JMM, Ferreira AJ, et al. Implications of the COVID-19 pandemic for food and nutri-tion security in Brazil. Cien Sau-de Colet 2020; 25(9):3421–30.

[25] Rodrigues EC, Mendonça RD, Camargo PP, Menezes MC, Carvalho NC, Meireles AL. Home food insecurity during the suspension of classes in Brazilian public schools due to the COVID-19 pandemic. Nutrition 2022; 93.

[26] Bicalho D, Lima TDM. The National School Feeding Program as a guarantee of the right to food during the COVID-19 pandemic. DEMETRA: Alimentação, Nutrição & Saúde 2020; 15:e52076.

[27] Institute of Applied Economic Research (IPEA). Annual exchange rate from 1889 until 2022. IPEA [Internet] 2023. [cited 2023 Jan 10]. Available from: http://www.ipeadata.gov.br/ExibeSerie.aspx?serid=31924, 2023

[28] Brazilian Institute of Geography and Statistics. IBGE cities@ [Internet] 2017 [cited 2022 Feb 20]. Available from: https://cidades.ibge.gov.br/

[29] Pérez-Escamilla R, Segall-Corrêa AM, Maranha LK, Sampaio MFA, Marín-León L, Pani-gassi G. An adapted version of the US Department of Agriculture Food Insecurity module is a valid tool for assessing household food insecurity in Campinas, Brazil. J Nutr 2004; 34(8):1923-8.

[30] Segall-Corrêa AM, Marin-León L, Melgar-Quiñonez H, Pérez-Escamilla R. Refinement of the Brazilian Household Food Insecurity Measurement Scale: Recommendation for a 14-item EBIA. Rev Nutr 2014; 27(2):241–51.

[31] Santos LP dos, Costa MG da, Santos JV dos, Lindemann IL, Gigante DP. Comparação entre duas escalas de segurança alimentar. Cien Saude Colet 2014;19(1):279–86.

[32] Salles-Costa R, Ferreira AA, Mattos RA, Reichenheim ME, Pérez-Escamilla R, Bem-Lignani J, et al. National Trends and Disparities in Severe Food Insecurity in Brazil between 2004 and 2018. Curr Dev Nutr. 2022; 6(4).

[33] Monteiro CA, Cannon G, Levy R, Moubarac JC, Jaime P, Martins AP, et al. NOVA The star shines bright. [Food classification. Public health]. World Nutr. 2016; 7:28–40.

[34] National Study of Infant Feeding and Nutrition. Manual do questionário geral. ENANI [Internet]. 2019 [cited 2022 Fev 20]. Available from: https://enani.nutricao.ufrj.br/index.php/materiais/

[35] Food and Agriculture Organization of the United Nations. The State of Food Security and Nutrition in the World 2021. Transforming food systems for food security, improved nu-trition and affordable healthy diets for all. FAO [internet] 2021. [cited 2022 Feb 20]. Availa-ble from: https://doi.org/10.4060/cb4474en

[36] Mayer VL, Hillier A, Bachhuber MA, Long JA. Food Insecurity, Neighborhood Food Access, and Food Assistance in Philadelphia. J Urban Health 2014; 91(6):1087–97.

[37] Ma X, Liese AD, Bell BA, Martini L, Hibbert J, Draper C, et al. Perceived and Geo-graphic Food Access and Food Security Status among Households with Children. Public Health Nutr 2016; 19(15):2781–8.

[38] Pérez-escamilla, R, Roncarolo F, Potvin L. Associations between the local food environ-ment and the severity of food insecurity among new families using community food security inter-ventions in Montreal. Can J Public Health 2017; 108(1):e49–55.

[39] Wolfson JA, Ramsing R, Richardson CR, Palmer A. Barriers to healthy food access: As-socia-tions with household income and cooking behavior. Prev Med Rep 2019; 13:298–305.

[40] Ghosh-Dastidar M, Hunter G, Collins RL, Zenk SN, Cummins S, Beckman R, et al. Does opening a supermarket in a food desert change the food environment? Health Place 2017; 46:249–56.

[41] Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy Nutrition Environments: Concepts and Measures. Am J Health Promot 2005; 19(5):330–3.

[42] Steenhuis IH, Waterlander WE, Mul A. Consumer food choices: the role of price and pricing strategies. Public Health Nutr 2011; 14(12):2220–6.

[43] Yuba TY, Sarti FM, Campino ACC, do Carmo HCE. Changes in the relative prices of food groups between 1939 and 2010 in São Paulo, SP. Rev de Saúde Pública 2013; 47(3):549–59.

[44] Louzada MLDC, Costa JC, Costa CDS, Wendt A, Azeredo CM. Changes in socioeco-nomic inequalities in food consumption among Brazilian adults in a 10-years period. Front Nutr 2022; 9:1020987.

[45] Brinkman HJ, Pee S, Sanogo I, Subran L, Bloem MW. High Food Prices and the Global Financial Crisis Have Reduced Access to Nutritious Food and Worsened Nutritional Status and Health. J Nutr 2010; 140(1):153S161S.

[46] Baccarin JG, Oliveira JA. Food inflation in Brazil during the Covid-19 pandemic, conti-nuity and changes. Food and Nutrition Security 2021; 4;28:e021002.

[47] Gomes I. Inflation rises 0.73% in December and closes 2021 at 10.06%. Agência IBGE notícias [Internet]. 2022 Jan 11 [cited 2022 Aug 10]. Available from: https://cod.ibge.gov.br/5I0NL

[48] Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin B. Ultra-processed products are be-coming dominant in the global food system. Obes Rev 2013; 14(S2):21–8.

[49] Gupta NR, Freedman DA. Food security moderates relationship between perceived food environment and diet quality among adults in communities with low access to healthy food re-tail. Public Health Nutr 2020; 1–12.

[50] Pérez-Ferrer C, Auchincloss AH, Menezes MC, Kroker-Lobos MF, Cardoso LO, Barrien-tos-Gutierrez T. The food environment in Latin America: a systematic review with a focus on environments relevant to obesity and related chronic diseases. Public Health Nutr 2019; 22(18):3447–64.

[51] Maia EG, Passos CM, Levy RB, Martins APB, Mais LA, Claro RM. What to expect from the price of healthy and unhealthy foods over time? The case from Brazil. Public Health Nutr 2020; 23(4):579–88.

[52] Popkin BM, Adair LS, Ng SW. NOW AND THEN: Global nutrition transition: the pan-demic of obesity in developing countries. Nutr Rev 2012; 70(1):3–21.

[53] Popkin BM, Reardon T. Obesity and the food system transformation in Latin America. Obes Rev 2018; 19(8):1028–64.

[54] Thornton LE, Cameron AJ, McNaughton SA, Waterlander WE, Sodergren M, Svastisalee C, et al. Does the availability of snack foods in supermarkets vary internationally? Int J Behav Nutr Phys Act 2013; 10(1):56.

[55] Junior NK, Pinto HS, Leda LC. Food and eating: the urban food supply and consump-tion system. Guaju 2016; 2(1):61–1.

[56] Machado PP, Claro RM, Martins APB, Costa JC, Levy RB. Is food store type associated with the consumption of ultra-processed food and drink products in Brazil? Public Health Nutr 2017 Jul; 21(1):201–9.

[57] Monteiro CA, Cannon G. The Impact of Transnational “Big Food” Companies on the South: A View from Brazil. PLoS Medicine 2012; 9(7):e1001252.

[58] Costa JC, Canella DS, Martins APB, Levy RB, Andrade GC, Louzada MLC. Fruit con-sumption and association with ultra-processed food intake in Brazil in 2008-2009. Cien Saude Colet 2021; 26(4):1233–44.

[59] Walker RE, Keane CR, Burke JG. Disparities and access to healthy food in the United States: A review of food deserts literature. Health Place 2010; 16(5):876–84.

[60] Jaime PC, Duran AC, Sarti FM, Lock K. Investigating Environmental Determinants of Diet, Physical Activity, and Overweight among Adults in Sao Paulo, Brazil. J Urban Health 2011; 88(3):567–81.

[61] Duran AC, Diez Roux AV, Latorre M do RDO, Jaime PC. Neighborhood socioeconomic characteristics and differences in the availability of healthy food stores and restaurants in Sao Paulo, Brazil. Health Place 2013; 23:39–47.

[62] Menezes MC, Costa BVL, Oliveira CDL, Lopes ACS. Local food environment and fruit and vegetable consumption: An ecological study. Prev Med Rep 2017; 5:13–20.

[63] Justiniano ICS, de Menezes MC, Mendes LL, Pessoa MC. Retail food environment in a Brazilian metropolis over the course of a decade: evidence of restricted availability of healthy foods. Public Health Nutr 2022; 25(9):2584–92.

[64] Louzada MLC, Cruz GL, Silva KAAN, Grassi AGF, Andrade GC, Rauber F, et al. Con-sumption of ultra-processed foods in Brazil: distribution and temporal evolution 2008–2018. Rev Saúde Pública 2023;57:12.

[65] Ribeiro, GJS; Pinto AA. Consumption of ultra-processed foods in Brazilian children: an analysis of regional trends. J Pediatr Surg Nurs 2021. v. 61, p. e106-e111.

[66] Neri, D et al. Ultraprocessed food consumption and dietary nutrient profiles associated with obesity: A multicountry study of children and adolescents. Obes Rev 2022. v. 23, p. e13387.

[67] Carmo AS do, Mendes LL, Cardoso L de O, Caiaffa WT, Santos LC dos. The influence of neighborhood safety and built environment on childhood obesity: isolated and combined effect of contextual factors. Cad Saúde Pública 2023;39(8):e00104822.

[68] Mescoloto, SB, Pongiluppi, G, Domene, SMA. Ultra-processed food consumption and children and adolescents’ health. J Pediatr 2024;100 Suppl 1:S18-S30.

[66] Pereira SOG; Cabral, JPC. Informality and the employment crisis in Brazil. Humanidades & Inovação 2019. 6(18):92-102.

[67] Costa SS. Pandemic and unemployment in Brazil. Revista de Administração Pública 2020; 54(4):969–78.

[68] Sambuichi RHR, Almeida AFCS, Spínola GPPAC, Pella AFC. The Food Acquisition Pro-gram (PAA) as a strategy to face the challenges of COVID-19. Revista de Administração Pública 2020; 54(4):1079-1096.

[69] Recine E, Fagundes A, Silva BL, Garcia GS, Ribeiro RCL, Gabriel CG. Reflections on the extinction of the National Council for Food and Nutrition Security and the confrontation of Covid-19 in Brazil. Revista de Nutrição 2020; 33.

[70] National Agroecology Articulation. Brasil, do flagelo da fome ao futuro agroecológico: Uma análise do desmonte das políticas públicas federais e a agroecologia como alternativa. ANA [Internet]. 2022 [cited 2023 Jan 10]. Available from: https://agroecologia.org.br/2022/09/14/estudo-inedito-brasil-do-flagelo-da-fome-ao-futuro-agroecologico/

[71] Mendes LL, Rocha LL, Botelho LV, Menezes MC, Júnior PCPC, Camara AO, et al. Sci-entific research on food environments in Brazil: a scoping review. Public Health Nutr 2023; 26(10):2056-2065.



Outros idiomas:







Como

Citar

Matheus, S. C., Justiniano, I. C. S., Meireles, A. L., Carvalho, N. C., Mendonça, R. D. M., Menezes, M.C. Food environment as an aggravating factor of food insecurity among Brazilian public school students: ESANP study. Cien Saude Colet [periódico na internet] (2024/Mai). [Citado em 06/10/2024]. Está disponível em: http://cienciaesaudecoletiva.com.br/artigos/food-environment-as-an-aggravating-factor-of-food-insecurity-among-brazilian-public-school-students-esanp-study/19270?id=19270&id=19270

Últimos

Artigos



Realização



Patrocínio