A Model-Based Approach to Identify Classes and Respective Cutoffs of the Brazilian Household Food Insecurity Measurement Scale

Food insecurity in Brazil by household arrangements and characteristics between 2004 and 2022

Although food insecurity presents a decreasing trend worldwide, some regions recently observed an increase in hunger levels. Such was the case in Brazil between 2014 and 2018, during and after the great Brazilian recession, and between 2020 and 2021, during the COVID-19 pandemic. This paper describes the evolution of food insecurity in Brazil between 2004 and 2022 using Brazilian National Household Sample Survey (PNAD), Brazilian Household Budget Survey (POF) and Continuous PNAD. Households were classified in 20 types of arrangements, and the most vulnerable living arrangements between 2004 and 2018 were identified by multinomial logistic models. Overall, households headed by women (single blacks, whites or in couples) with or without children were the most prone to food insecurity. As for the evolution of food insecurity in Brazil between 2018 and 2022, logistic models were applied to estimate moderate and severe food insecurity levels among the 20 household types. Additionally, effects of the emergency aid and idiosyncrasies of the COVID-19 pandemic were estimated.

Insufficient Answer During the Public Health Emergency: A Lesson from the Persistence of Food Insecurity in Low-Income Communities

Cohort study in deprived communities to investigate the persistence of food insecurity (FI) during the COVID-19 was conducted. Sample were derived from a list of mobile phone numbers provided by community leaders and local nonprofit organizations. Temporal trends and prevalence ratios of FI persistence, categorized as "never," "occasional FI," "consistent FI," were calculated. A total of 302 households completed three assessments, the majority nonwhite women. During the follow-up, families covered by social assistance increased; however, their income decreased (p < 0.05). 33% were "consistent," and 46% "occasional" FI. Permanent difficulties accessing gas canisters, hygiene products, and hand sanitizers were observed.

Gender, skin color, and household composition explain inequities in household food insecurity in Brazil

It is well known that female-headed households (FHHs) are more likely to experience food insecurity (FI) than male-headed households (MHHs), however there is a dearth of evidence on how gender intersects with other social determinants of FI. Thus, this paper investigated changes in the prevalence of household FI in Brazil from 2004 to 2018 by the intersection of gender, race/skin color and marital status of the household reference person. Data from three cross-sectional nationally representative surveys that assessed the status of FI using the Brazilian Household Food Insecurity Measurement Scale were analyzed (N2004 = 107,731; N2013 = 115,108, N2018 = 57,204). Multinomial logistic regression models were used to examine the relationship between profiles of gender, race/skin color, marital status of the head of the household with household FI stratified by the presence of children <5 years of age. Over time, FHHs had a higher prevalence of mild and moderate/severe FI than did households headed by men. Food security prevalence increased from 2004 to 2013 and decreased between 2013 and 2018 for households headed by men and women. In 2018, households headed by black/brown single mothers with children < 5 years of age were at the highest FI risk. The probability of reporting moderate/severe FI in these households were 4.17 times higher (95% CI [2.96-5.90]) than for households headed by married white men. The presence of children in the household was associated with a higher probability of moderate/severe FI, especially for households headed by black/brown individuals regardless of the reference person's gender. The results suggest that gender inequities combined with darker skin color and the presence of children at home potentiate the risk of moderate/severe FI. Policy makers need to consider the principles of intersectionality when investing in codesigning, implementing, evaluating, and scaling up evidence-based programs to reduce FI.

Regional and social inequalities in food insecurity in Brazil, 2013-2018

This study aims to analyze the association between social indicators and the worsening of food insecurity in 2013 and 2018 in different regions of Brazil. Data from the Brazilian National Household Sample Survey (2013) and Brazilian Household Budgets Survey (2018) were analyzed, considering nationally representative samples of 110,750 and 57,920 households, respectively. Food insecurity was assessed using the Brazilian Food Insecurity Scale by estimating the percentage changes in food insecurity levels between 2013 and 2018, according to sociodemographic variables. The association between social indicators and food insecurity disaggregated by region was estimated using multinomial logistic regression models. Although North and Northeast regions had higher proportions of food insecurity, the Southeast and Central-West regions had the highest increase in food insecurity in the same periods. Income was the indicator with the highest association with food insecurity both in 2013 and 2018. We also observed the association between the presence of three or more residents aged under 18 in a household and a higher risk of food insecurity in North and South regions. Food insecurity increased unevenly among regions during the Brazilian economic crisis, which reinforced regional inequality. Moreover, food insecurity was greater among households with worse social and economic living conditions, contributing to social inequality in the country. Thus, strengthening public policies to promote food security and nutrition according to regional social inequities is necessary.

Food insecurity and symptoms of anxiety and depression disorder during the COVID- 19 pandemic: COVID-Inconfidentes, a population-based survey

This study aimed to investigate the association between adult food insecurity (FI) and symptoms of generalized anxiety disorder (GAD) and major depressive disorder (MDD) in two Brazilian cities during the coronavirus disease (COVID-19) pandemic. This study used data derived from a cross-sectional survey of 1693 adults. Interviews were conducted using an electronic questionnaire. The FI was measured using the Brazilian Food Insecurity Scale. The Generalized Anxiety Disorder-7 was used to measure the symptoms of GAD. The Patient Health Questionnaire-9 was used for MDD symptoms. The association between FI, GAD, and MDD symptoms was investigated using a Poisson regression model with robust variance to estimate the prevalence ratio and 95% confidence interval (95% CI). In regression models, a linear association between FI levels and outcomes was observed, with severe food insecurity having a 3.56 higher prevalence of GAD symptoms (95% CI: 2.23, 5.68) and a 3.03 higher prevalence of MDD (95% CI: 1.55, 5.90). In the stratified analyses, worse results were observed for females and males, individuals with non-white race/skin color, those without children, and those with lower monthly family income. In conclusion, the FI was associated with symptoms of GAD and MDD, and the sociodemographic characteristics interfered in this association. Therefore, we recommend the improvement of public health and social protection policies for food-insecure people.

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FI was consistently associated with symptoms of GAD and MDD during the pandemic.

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FI is linearly associated with anxiety and depression symptoms.

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Participants at any FI level had more negative feelings (e.g., depressed mood).

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The mental health impact of FI is sensitive to sociodemographic characteristics.

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The results obtained may contribute to the cross-cultural consistency of the theme.

National Trends and Disparities in Severe Food Insecurity in Brazil between 2004 and 2018

Background

The Brazilian Household Food Insecurity Measurement Scale (EBIA) is the main tool for assessing household food insecurity (FI) in Brazil and facilitates the monitoring and improvement of national public policies to promote food security. Since 2004, the Brazilian government has conducted National Household Sample Surveys, and in 2018, the government carried out the last national evaluation of FI.

Objectives

To describe trends in severe FI in Brazil from 2004 to 2018.

Methods

Data from 3 cross-sectional Brazilian National Household Sample Surveys (sample sizes: 2004 = 112,530; 2009 = 120,910; 2013 = 116,196) and from the last Household Budget Survey (sample size = 57,920) that assessed the status of FI using the EBIA were analyzed. Changes in severe FI during 2 periods (2004-2013; 2013-2018) were estimated while considering sociodemographic factors.

Results

The period between 2004 and 2013 was marked by a significant decrease in severe FI (-53.6%), but this trend reversed in 2013-2018 (+43.8%). The greatest decrease in severe FI occurred in the Northeast (-57.6%) among households where the reference person was a man (-57.6%) and self-identified as white (-58.1%) (2004-2013). In 2013-2018, households with children aged ≤4 y (+6.3%) and members aged ≥65 y (+12.5%) experienced the lowest increases in severe FI.

Conclusions

After a significant reduction from 2004 to 2013, severe FI increased sharply from 2013 to 2018, likely due to disruptions in public policies aimed at reducing hunger and unemployment rates.

Classification Differences in Food Insecurity Measures between the United States and Canada: Practical Implications for Trend Monitoring and Health Research

BACKGROUND

Food insecurity, inadequate access to food due to financial constraints, is a major public health issue in the United States and Canada, where the same 18-item questionnaire is used to monitor food insecurity. Researchers often assume that findings on food insecurity from the 2 countries are comparable with each other, but there are between-country differences in how food insecurity status is determined.

OBJECTIVES

We aimed to compare the distribution of household food insecurity in the Canadian population applying the US and Canadian classification schemes. We also examined the extent to which associations between food insecurity and adults' health differ under the 2 schemes.

METHODS

We used the population-representative Canadian Community Health Survey 2005-2017 linked to administrative health records. Food insecurity was measured by the Household Food Security Survey Module. Adults 18 y and older with valid food insecurity status were included from all jurisdictions except Quebec (n = 403,200). We cross-tabulated food insecurity status classified by the US and Canadian schemes. We also fitted logistic regressions on self-reported and objective health measures adjusting for confounders.

RESULTS

Applying the Canadian classification scheme, 7.7% of households were food insecure; the number fell to 6.0% with the US scheme. Associations between food insecurity status and health measures were mostly similar across classification schemes, although the associations between food insecurity and self-reported health were slightly larger if the US scheme was applied. Marginal food security/insecurity was associated with worse health measures irrespective of the classification scheme. United States-Canada discordance in classification of marginal food security/insecurity had a limited effect on health prediction.

CONCLUSIONS

United States-Canada differences in classification affected the apparent distribution of household food insecurity but not the associations between food insecurity and measures of adult health. Marginal food security/insecurity should be set apart from the food-secure group for trend monitoring and health research.

Changes in prevalence of overweight in adolescents living in areas highly vulnerable to food insecurity

This study ascertained changes, over 5 years, in the prevalence of overweight in adolescents and associations with socio-demographic variables and food insecurity. Two cross-sectional population-based studies were conducted with 511 (2005) and 314 (2010) adolescents resident in Campos Elíseos (Duque de Caxias-RJ). Overweight was evaluated by sex and age specific cut-off points of BMI (weight/height²). The prevalence of food insecurity was investigated using the Brazilian Food Insecurity Scale. Logistic regression was used to determine the association between changes in overweight over time and sex, age, skin colour, and food insecurity. Overweight was found to increase significantly, between 2005 and 2010, in boys who were younger (from 20.1% to 49.5%), black or brown (22.2% to 37.3%), those with per capita income of up to half a minimum wage (13.6% to 32.5%) and those experiencing moderate or severe food insecurity (9.2% to 36.3%). It was concluded that overweight increased significantly in adolescents living in an area of food insecurity, and that younger, black or brown, lower-income adolescents, and those living with moderate and severe food insecurity, were more exposed to that increase.

Food insecurity and sociodemographic factors among children in São José dos Pinhais, Paraná, Brazil, 2017: a cross-sectional study

OBJECTIVE

To analyze association between food insecurity (FI) and sociodemographic factors among children.

METHODS

The study was carried out from May to November 2017 with mothers of children (18 - 35 months old) enrolled at public education facilities in São José dos Pinhais, Paraná, Brazil. FI was determined by the Brazilian Household Food Insecurity Measurement Scale. Multinomial logistic regression was used with a hierarchical model.

RESULTS

395 mothers/children participated. Overall FI prevalence was 34.7% (95%CI 28.5;41.5), with prevalence of 25.7% (95%CI 19.2;32.3) for mild FI (MFI) and 9.0% (95%CI 8.5;9.4) for moderate/severe FI (MSFI). Families in the lowest income tercile had higher likelihood of MFI (OR=3.06 - 95%CI 1.26;7.41) or MSFI (OR=6.35 - 95%CI 1.89;21.4) when compared to the highest tercile. Higher MFI prevalence was identified in male children (OR=2.34 - 95%CI 1.49;3.68).

CONCLUSION

FI was associated with lower income and MFI with male children. Public policies to increase income must be included in FI reduction strategies.

What, what for and how? Developing measurement instruments in epidemiology

The development and cross-cultural adaptation of measurement instruments have received less attention in methodological discussions, even though it is essential for epidemiological research. At the same time, the quality of epidemiological measurements is often below ideal standards for the construction of solid knowledge on the health-disease process. The scarcity of systematizations in the field about what, what for, and how to adequately measure intangible constructs contributes to this scenario. In this review, we propose a procedural model divided into phases and stages aimed at measuring constructs at acceptable levels of validity, reliability, and comparability. Underlying our proposal is the idea that not only some but several connected studies should be conducted to obtain appropriate measurement instruments. Implementing the model may contribute to broadening the interest in measurement instruments and, especially, addressing key epidemiological problems.

Governmental programmes associated with food insecurity among communities of descendants of enslaved blacks in Brazil

OBJECTIVE

To assess the access to government programmes and their association with food insecurity (FI) in families from quilombolas communities in Brazil.

DESIGN

An analysis of secondary data from the 2011 Quilombolas Census was performed in Brazilian territories. The Brazilian Household Food Insecurity Measurement Scale (Escala Brasileira de Insegurança Alimentar, EBIA) was used to assess the household FI status. The relationships of governmental programmes with the levels of FI were estimated using logistic regression models.

SETTING

Greater national survey census of food and nutritional security of the recognised Quilombolas Brazilian territories.

PARTICIPANTS

Totally, 8743 quilombolas families.

RESULTS

The prevalence of household FI was 86·1 % (moderate/severe FI: 55·9 %, 95 % CI 54·8, 56·9). After adjustment for socio-demographic variables, access to rural development programmes (Food Acquisition Program: OR: 0·6, 95 % CI 0·4, 0·8, P-value < 0·01) and health programmes (Center for Family Health Support: OR: 0·5, 95 % CI 0·5, 0·7, P-value < 0·001) is inversely and significantly associated with moderate/severe FI. The Brazilian conditional cash transfer programme (Bolsa Família) was associated with quilombolas families with moderate/severe levels of FI (OR: 3·3, 95 % CI 2·8, 4·0, P-value < 0·001).

CONCLUSIONS

The prevalence of FI was high among quilombolas families. Despite reduced participation in governmental programmes, rural development, agriculture and conditional cash transfer programmes are fundamental to the autonomy of quilombolas communities. In spite of the low participation, when families are able to access these programmes, the study revealed the importance of these initiatives in reducing the likelihood of severe levels of FI.

Validity of a 2-item screening tool to identify families at risk for food insecurity in Brazil

This manuscript aimed to develop a brief 2-item screening tool to identify Brazilian households that include families with children at risk for food insecurity. Psychometric analyses including sensitivity, specificity, positive and negative predictive value, accuracy, and ROC curves were used to test combinations of questions to determine the most effective screener to assess households at risk for food insecurity when compared to a gold standard scale. Participants included Brazilian National Survey of Demography and Health on Women and Children (PNDS) surveyed households with a valid Brazilian Food Insecurity Scale (EBIA) response. The sample included 3,920 households representing 11,779,686 households when expanded using PNDS sample weights. With overall prevalence of food insecurity at 21%, a Brazilian 2-item food-insecurity screen showed sensitivity of 79.31%, specificity of 92.95%, positive predictive value of 74.62%, negative predictive value of 94.5% and ROC area 86.13%. This screen also presented high convergent validity for children's nutrition and health variables when compared with the gold standard, the EBIA full scale. Based on its ability to detect households at risk for food insecurity, a 2-item screening tool is recommended for widespread adoption as a screening measure throughout Brazil, especially when rapid decision-making has been made fundamental, as under the COVID-19 pandemic. This screener can enable providers to accurately identify families at risk for food insecurity and promptly intervene to prevent or ameliorate adverse health and developmental consequences associated with food insecurity and swiftly respond to crises.

Social inequalities and household food insecurity in quilombola communities in Brazil

ABSTRACT Objective To evaluate the relationship between sociodemographic characteristics and food insecurity in quilombola communities in Brazil. Methods Microdata from the 2011 Quilombola Census “Assessment of the food and nutritional security situation in titled quilombola communities” were evaluated. The Brazilian household food insecurity measurement scale was used to evaluate household food insecurity status. Multinomial regression models were used to test the association between sociodemographic characteristics and food insecurity. Results The prevalence of food insecurity was 86.1% (mild: 30.2%; moderate/severe: 55.9%). In the final adjusted model, the factors significantly associated with moderate/severe food insecurity (p-value<0.001) were: head of household being single or divorced, head of household with 1-7 years of schooling, a larger domicile size, households with children under 5 years of age, precarious sanitation, a household income of less than the minimum wage, and being from a quilombola communities in the North of the country. Conclusion The results indicated that the prevalence of food insecurity among quilombola households is high, requiring the implementation of public policies to promote food and nutritional security and to mitigate the historical social injustices suffered by this population.

The Alcohol Use Disorders Identification Test (AUDIT) in Adolescents: Using a Model-Based Approach to Identify Patterns of Alcohol Misuse

To explore the latent structure of the Alcohol Use Disorders Identification Test (AUDIT) among adolescents of different school grades (age strata). Methods: Data derived from two simultaneous run cohort studies from the "Adolescent Nutritional Assessment Longitudinal Study-ELANA" conducted in private and public schools of Rio de Janeiro/Brazil. Participants comprised 564 seventh-graders and 419 ninth-graders, respectively sampled in 2011 and 2013 from cohort 1, and 730 eleventh-graders sampled in 2011 from cohort 2. Latent class factor analytical (LCFA) models were applied to the AUDIT items to identify internally homogeneous latent groups of individuals representing distinct patterns of alcohol use, and optimal group-separating cutoffs. The classification agreement was also evaluated. Results: Three and two groups (classes) were found for the eleventh and the earlier grades, respectively. These best-fitting models held a very high degree of class separation (entropy >0.9). By contrasting the AUDIT's raw scores (0-10) with the model-based latent classes, the cutoff separating the base (milder) category was found between scores 0 and 1 in all grades. The eleventh-graders differed from the others by showing a third and more intense category of alcohol use (cutoff between 4 and 5). The classification agreement was almost perfect in eleventh-graders (98.6%) and perfect in the earlier grades (100%). Conclusions: Findings show that the AUDIT may be adequately used in adolescents of different ages and school grades, although the number of homogeneous categories may differ accordingly. Besides, raw scores may be pragmatically used to identify groups with confidence by applying specific optimal cutoffs.

Application of the mixture item response theory model to the Self-Administered Food Security Survey Module for Children

Background

The Self-Administered Food Security Survey Module for Children was developed to assess food insecurity of individual children and has not been used in Portugal. We aimed to apply the mixture item response theory model to the Self-Administered Food Security Survey Module for Children, to assess its reliability and validity, and to estimate the cut-offs of the food security status for Portuguese children.

Methods

The scale was self-administered to 2132 children of the Generation XXI birth cohort. The internal consistency was assessed using Cronbach’s alpha. We evaluated dimensionality and/or clustering, and Latent Class Analysis, Latent Trait Analysis and Mixture Latent Trait Analysis were tested. The number of classes and/or traits were defined according to the Akaike Information Criterion, Bayesian Information Criterion, Adjusted Bayesian Information Criterion, Vuong-Lo-Mendell-Rubin Likelihood Ratio Test, Bootstrapped Likelihood Ratio Test and Entropy. Construct validity was explored using socio-demographic characteristics. The classification tree was used to define cut-offs to predict cluster membership.

Results

The best model was a Mixture Latent Trait Analysis with 1 factor and 2 classes (food security and food insecurity), assuming class variant item parameters (for items 1 and 3). Based on the estimated posterior probabilities, the food insecurity prevalence was 17.6%. Cronbach’s alpha was 0.617. A higher proportion of less-educated mothers and low-income households was observed in the food insecurity class. The classification tree showed an accuracy of 100.0% by identifying the food security and food insecurity groups.

Conclusion

Our results supported that the Self-Administered Food Security Survey Module for Children provides a valid and reliable measure, which allows the identification of food insecurity among Portuguese children.

Relationship between social indicators and food insecurity: a systematic review

ABSTRACT: Introduction: The relationships between the social indicators (SIs) that determine food insecurity (FI) have not been described yet. This systematic review aims to identify which SIs are associated with FI in Brazilian households and how these relationships are explained. Methods: The research protocol was registered on the International Prospective Register of Systematic Reviews (PROSPERO - CRD42018106527). Three independent researchers performed the search in the Latin American and Caribbean Health Sciences Literature (LILACS) and National Library of Medicine (PubMed) databases (June/2018). The study included articles that used the Brazilian Household Food Insecurity Measurement Scale (Escala Brasileira de Insegurança Alimentar - EBIA) to assess FI and that evaluated the association between SIs and FI. Results: We included 18 articles in this review. The Kappa concordance index between the researchers was 0.72 (95%CI 0.42 - 1.00). Most articles were cross-sectional and used multivariate regression for the statistical analysis. At least one income-related SI had a significant association with FI, and, in most studies, they presented the highest values of association measures. We organized the authors’ explanation about the relationships between SIs and FI in a conceptual model. The study identified three possible justifications for the association between SIs and FI: direct relationship, relationship mediated by income, or relationship mediated by another SI and income. Conclusion: Income assumed a central role in the mediation between several SIs and FI. However, the analysis methods of the studies did not allow us to investigate this mediation. Therefore, improving data analysis to isolate and understand the effect of SIs on FI is still necessary.

Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil

Objective:

Food insecurity (FI) is a challenge to policy makers worldwide, who need to understand which polices and programmes are effective at overcoming FI. The present study aimed to examine the impact of family income and conditional cash transfers on changes in household FI status in a highly vulnerable municipality in Northeast Brazil.

Design:

A population-based longitudinal cohort study among families in a municipality in the semi-arid area in Northeast Brazil (2011 and 2014). FI was estimated with the Brazilian Household Food Insecurity Measurement Scale (EBIA). The effects of family income and cash transfer on changes in FI were estimated using logistic regression models and the population-attributable risk fraction.

Setting:

Households in Cuité, Paraíba, Brazil.

Participants:

Household respondents interviewed in 2011 (n 358) and 2014 (n 326).

Results:

There was a reduction in FI prevalence of 17·5 % across time; 24·5 % of families who were food insecure in 2011 became food secure in 2014. After adjustment, families that did not experience an increase in their total household income or a reduction in the cash transfer amount were at increased risk of persistent FI across time. If the cash transfer programme had not been in place, about 10 % of the families that switched from food insecure to food secure across time would have remained in FI instead.

Conclusions:

The decrease of FI occurred in an area of extreme climatic and social vulnerability. These changes were more related to the cash transfer than the increase in family income over time.

Suitability of the eight-item version of the Brazilian Household Food Insecurity Measurement Scale to identify risk groups: evidence from a nationwide representative sample

Objective

The Brazilian Household Food Insecurity Measurement Scale (EBIA) has eight general/adult items applied in all households and six additional items exclusively asked in households with children and/or adolescents (HHCA). Continuing an investigation programme on the adequacy of model-based cut-off points for EBIA, the present study aims to: (i) explore the capacity of properly stratifying HHCA according to food insecurity (FI) severity level by applying only the eight ‘generic’ items; and (ii) compare it against the fourteen-item scale.

Design

Latent class factor analysis (LCFA) models were applied to the answers to the eight general/adult items to identify latent groups corresponding to FI levels and optimal group-separating cut-off points. Analyses involved a thorough classification agreement evaluation and were performed at the national level and by macro-regions.

Setting

Data derived from the cross-sectional Brazilian National Household Sample Survey of 2013.

Participants

A nationally representative sample of 116 543 households.

Results

In all households and investigated domains, LCFA detected four distinct household food (in)security groups (food security and three levels of severity of FI) and the same set of cut-off points (1/2, 4/5 and 6/7). Misclassification in the aggregate data was 0·66 % in adult-only households and 1·06 % in HHCA. Comparison of the scale reduced to eight items with the ‘original’ fourteen-item scale demonstrated consistency in the classification. In HHCA, the agreement between both classifications was 96·2 %.

Conclusions

Results indicate the eight ‘generic’ items in HHCA can be reliably used when it is not possible to apply the fourteen-item scale.