Household Food Insecurity Measurement Research Articles

High manifestations of food insecurity and hunger among pregnant and lactating women during post-conflict in Tigray, Ethiopia: a community-based study

BackgroundFood insecurity is a state or condition in which people have limited or uncertain physical, social, and economic access to safe, sufficient, and nutritious food to meet their dietary needs. Since no thorough evaluation was carried out to determine the degree of household food insecurity in Tigrayan communities in the aftermath of the conflict. This study aims to describe household-level food insecurity status among pregnant and lactating women during the post-armed conflict in Tigray, Ethiopia.MethodDescriptive research was designed to assess household food insecurity. A multi-stage sampling technique was used for this study. One thousand two hundred forty-nine households were selected systematically following a list of food insecure households. Descriptive statistical values, including frequency counts, percentages, minimum values, maximum values, and averages, were calculated to quantify the indicators under study. Household food insecurity and hunger Scale measurement using the standardized Food and Agriculture Organization standard.ResultsThe mean age (± SD) of the mothers was 28.35 ± 5.91 years. More than three fourth of the participants 1010(80.93%) were rural residents. The survey result showed that 88.8% of the pregnant and lactating were food insecure. Half (50.1%) of the households were hungry,one month before the study, 78.5% of the families expressed concern about running out of food and 6.4% had severe hunger.ConclusionsThe food insecurity levels and hunger prestige of the study communities were excessively high. This is in the context of a region affected by intense armed conflict. It is commended that the study communities need to be safeguarded from the direct and long-term consequences of armed conflict-caused household food insecurity.

Analysis of the Contribution of Home Gardens to Household Food Security in Limpopo Province, South Africa

Addressing food security is one of the national priorities in South Africa, enshrined under the country’s constitution, yet there is a growing percentage of households struggling to meet their food requirements. Food insecurity and malnutrition remain severe problems in rural communities and can be addressed through home gardening. This study aimed to assess the contributions of home gardens to food security in Limpopo Province. This study employed a quantitative research methodology. A total of 2043 rural households were selected using multistage stratified random sampling. The Household Food Insecurity Access Scale (HFIAS) was used to measure household food insecurity levels of home garden participants. Results showed that 46% of participants were food secure, 24% were severely food insecure, 17% were moderately food insecure and 13% were mildly food insecure. The results from the endogenous switching Poisson regression model showed that gender, household size, wage/salary, access to land, agriculture-related assistance and market distance had a positive influence on household food security of home garden participants. On the other hand, employment status and receiving any social relief had a negative association with household food security of home garden participants. The results also showed that employment status had a positive influence on the food security of home garden non-participants, while education, access to land, wage/salary and age had a negative influence. The results from average treatment effects (ATEs) showed that households that participated in home garden production had a negative and significant (p-value < 0.05) impact on household food insecurity. This study concludes that involvement in home gardening improves food security. Household food security can be enhanced through agricultural training and skills enhancement directed at increasing participation in home gardening in rural areas, thus addressing income and food security challenges. Agricultural education needs to be introduced and facilitated at school levels so that an understanding of food systems, nutrition and food security can be attained from younger age groups.

Análise exploratória da associação entre estatura, obesidade e insegurança alimentar em adultos no Inquérito Nacional de Alimentação 2017-2018

ABSTRACT Objective Evaluate short stature as a possible explanation for obesity, and identify if consumption of energy, protein, carbohydrate, and lipids were associated to higher risk for obesity in Brazilian adults (20-59 y) living in household food insecurity. Methods Cross-sectional study from 2017/2018 Household Budget Survey (N=28,112). Food insecurity was measured with the Brazilian Household Food Insecurity Measurement Scale. Short stature was used as an indicator of malnutrition at the beginning of life, which characterizes metabolic alterations resulting from the presence of food insecurity (cuts off women ≤149cm; men ≤160cm). Body mass index (kg/m2) was estimated from self-reported weight and body height. The average food intake was estimated from a 24-hr recall. The weighted means and standard error of the food security/insecurity categories were assessed according to height, mean energy intake and protein(g), carbohydrate(g) and lipids(g) intake, stratified by gender and nutritional status. Results Both men and women with obesity and food insecurity had significantly lower average height in comparison with those in food security status (p-value <0.01). The prevalence of obesity 1 (BMI 30-34.9kg/m2) increased significantly with the food insecurity among women. There was a trend towards short stature among obese women from families with food insecurity, as well as lower intake of energy. Among both men and women, the lowest intakes of protein and the highest intake of carbohydrates were observed in the underweight group (BMI <18.5kg/m2). Conclusion In women, the risk of obesity may depend on the metabolic background, since who presents food insecurity and develop obesity have low stature and lower energy intake.

Time living with food insecurity and socio-demographic factors: longitudinal analysis in a city in the semi-arid region of Northeast Brazil.

Food insecurity (FI) is the lack of daily access for everyone to quality food in sufficient quantity. In many populations, it presents as a chronic and persistent condition. This study analysed the association between the length of time living with FI and socio-demographic conditions in households in a semi-arid municipality in the Brazilian Northeast between 2011 and 2019. This is a population-based cohort study among families in the municipality in Northeast Brazil (2011, 2014 and 2019). FI was estimated through the Escala Brasileira de Insegurança Alimentar (EBIA, Brazilian Household Food Insecurity Measurement Scale), and the longitudinal category of time of living with FI was adopted to classify them according to the time they remained in FI during the cohort. The association with the socio-demographic profiles of the population was verified through multinomial logistic regression. Households in semi-arid, Northeast of Brazil. Household respondents interviewed in 2011, 2014 and 2019 (n 274). Sixty-seven percentage (67 %) of families lived in FI in this period. Rural residence, low monthly per capita income and low schooling of the household reference person increased the chances of these families living longer in FI. These overlapping conditions increased the odds of FI in the household. Coping with FI requires intersectoral intervention that improves the socio-demographic conditions of the population.

Household food insecurity and child health outcomes: a rapid review of mechanisms and associations

BackgroundHousehold food insecurity (HHFI) has detrimental impact on child health outcomes. The primary aim of this work was to describe the mechanisms, defined as statistically quantified processes or systems, that explain the association between HHFI and poor child health outcomes. The secondary aim was to identify which child health outcomes were significantly associated with HHFI. MethodsIn this rapid review, we included real-world evidence studies in children and adolescents aged 3–24 years, from high-income countries. We searched peer-reviewed literature through the databases Medline, Embase, Web of Science and The Cochrane Library on March 10, 2022, with a 15-year time restriction. Key search terms included “food insecurity”, “food poverty”, “statistics”, “structural equation model*”, “regression”, “conceptual model*”, and “theoretical model*”. We identified additional studies by searching citations and references. Papers were selected using pre-defined criteria and non-English Language studies were excluded. We extracted summary data of published studies using the Cochrane data extraction template as a guide. We included a broad range of health outcomes to identify what aspects of health are affected by HHFI, including metabolic risk factors (eg, BMI), conditions (eg, depression), biological processes (eg, sleep) and parent–child interactions (eg, feeding styles). We performed a narrative synthesis, as heterogeneity precluded statistical synthesis. We used the Quality in Prognosis Studies tool to assess the mechanism studies. FindingsWe included 70 systematic reviews (six mechanism and 64 association reviews) from the UK, Canada, USA, Australia, and Ireland (including 18 887 mechanism studies and 986 759 association studies). Low-to-moderate bias was detected in mechanism studies, and there was variability in HHFI measures. Maternal depression and parenting stress during childhood played a mechanistic role between HHFI and adolescent depression (b=0·008, 95% CI 0·002–0·016) and anxiety (b=0·012, 0·002–0·026). Maternal stress mediated the association between HHFI and child overweight (odds ratio [OR] 1·79, 0·82–3·92, p<0·01), via restrictive feeding styles (OR 1·81, 1·15–2·85, p=0·010) that had negative impact on diet (p<0·01). Ethnicity, income, employment, and education moderated the relationship between HHFI and child health outcomes (p<0·001). InterpretationTwo key mechanistic pathways between HHFI and child health outcomes were diet and mental health of both child and parent, which appeared interrelated. Interventions targeting HHFI in children, should consider these pathways alongside sociodemographic factors. A strength of this review was that it was the first literature summary explaining the mechanisms between HHFI and child health, using evidence from high-income countries. A limitation was that HHFI measures were inconsistent between studies and countries, disallowing study comparisons. FundingUniversity of Sheffield.

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.

Cash for assets during acute food insecurity: an observational study in South Sudan

BackgroundCash-based assistance in humanitarian contexts has grown substantially in recent years, yet little is empirically known about differential impacts of cash for diverse beneficiaries, which could better inform assistance targeting. In the context of increasing food insecurity and extreme levels of famine in South Sudan despite significant scale-up of humanitarian assistance, this analysis examined food security and household economy outcomes to better understand the impact of cash assistance and characteristics associated with worsened household food security and coping strategies.MethodsIn 2019–2021, a prospective cohort study was conducted leveraging a program providing cash for work in community gardens. 1213 households receiving cash prior to the start of the study (Cohort A/B), 582 non-intervention households (Control), and 300 households that received cash after the start of the study (Cohort C) completed 2 interviews spaced one year apart to measure household food insecurity and coping mechanism adoption.ResultsThere were no significant differences in change over time in household hunger score (p = 0.074), livelihoods coping strategy index score (p = 0.104), or meal frequency (p = 0.113) between program participants and the comparison group. The comparison group had a significantly larger increase in dietary diversity over time (0.6 vs. 0.2 in Cohort A/B, p = 0.005); however, at endline there were no significant differences in dietary diversity between program participants and the non-intervention group (4.3 in both groups). There were few factors associated with increased likelihood of worsened food security and coping outcomes, the most noticeable being recent investment livestock, which was associated with 1.5 times greater odds of worsened hunger and 1.63 times greater odds of worsened coping strategy adoption.ConclusionCash transfers did not appear to have lasting benefits on food security and livelihoods coping strategy use. Larger transfer sizes may need to be considered in future programming to achieve more substantial improvements in household food security; however, maintaining rather than improving household food security may be sufficient in worsening food crises contexts.

The association between household food insecurity and healthcare costs among Canadian children.

To examine the relationship between household food insecurity and healthcare costs in children living in Ontario, Canada. We conducted a cross-sectional, population-based study using four cycles of the Canadian Community Health Survey (2007-2008, 2009-2010, 2011-2012, 2013-2014) linked with administrative health databases (ICES). We included Ontario children aged 1-17years with a measure of household food insecurity (Household Food Security Survey Module) over the previous 12months. Our primary outcome was the direct public-payer healthcare costs per child over the same time period (in Canadian dollars, standardized to year 2020). We used gamma-log-transformed generalized estimating equations accounting for the clustering of children to examine this relationship, and adjusted models for important sociodemographic covariates. As a secondary outcome, we examined healthcare usage of specific services and associated costs (e.g. visits to hospitals, surgeries). We found that adjusted healthcare costs were higher in children from food-insecure than from food-secure households ($676.79 [95% CI: $535.26, $855.74] vs. $563.98 [$457.00, $695.99], p = 0.047). Compared with children living in food-secure households, those in insecure households more often accessed hospitals, emergency departments, day surgeries, and home care, and used prescription medications. Children from food-secure households had higher usage of non-physician healthcare (e.g. optometry) and family physician rostering services. Even after adjusting for measurable social determinants of health, household food insecurity was associated with higher public-payer health services costs and utilization among children and youth. Efforts to mitigate food insecurity could lessen child healthcare needs, as well as associated costs to our healthcare systems.

Food insecurity and social inequalities in households headed by older people in Brazil: a secondary cross-sectional analysis of a national survey

BackgroundThe presence of food insecurity in households headed by older people is related to social inequalities. The objective of this study was to analyze the prevalence and factors associated with moderate/severe food insecurity in households headed by older people.MethodsA cross-sectional study based on a nationally representative sample of older adults aged ≥ 60 years was conducted using data from the 2017/2018 Family Budget Survey. In the study, moderate/severe food insecurity was the dependent variable, with food insecurity assessed with the Brazilian Household Food Insecurity Measurement Scale. Prevalence and odds ratio estimates were generated with 99% confidence intervals. Data analysis was performed using STATA software.FindingsA total of 16,314 households headed by older people were identified. Approximately 10.1% of these households were in the moderate/severe range for food insecurity. The majority are female (11.9%)and self-declared indigenous people (25.5%), with a lack of schooling (18.3%) and a per capita income of up to half of one minimum wage (29.6%). The analysis model found that color/race, region, schooling, per capita household income, and social benefits received in the household were statistically significant factors (p value < 0.01).ConclusionModerate/severe food insecurity in households headed by older people is associated with the pronounced social inequalities present in Brazil, and these findings intensify the need for additional study of the challenges faced by this age group.

Household food insecurity and children dietary diversity during the COVID-19 outbreak

The COVID-19 pandemic raises the likelihood of food insecurity and affects the nutritional status of children. This study aims to examine the relationship between household food poverty and children's dietary diversity. The cross-sectional study has done at Lhokseumawe City and North Aceh District. A sample of 289 children aged 12–59 months participated in this study. The Food Insecurity Experience Scale (FIES) was used to measure household food insecurity. Meanwhile, the Individual Dietary Diversity Score (IDDS) was done to assess children's dietary diversity. The Chi-square was employed to analyze the association between household food insecurity and children's dietary diversity. The prevalence of household food insecurity was 8,3%, consisting of 5,5% moderate food insecurity and 2,8% severe food insecurity. Most children had diverse food consumption (88,6%). However, 11,4% of children had low dietary diversity. Household food insecurity was significantly correlated with children's dietary diversity (p= 0,002). Conclusion, the COVID-19 pandemic indirectly impacts household food insecurity, which can worsen the condition of food consumption for toddlers, especially regarding diversity in food consumption. A strategy is required to assist food-insecure households to maintain and increase children's dietary diversity.

Modeling Optimal Cutoffs for the Brazilian Household Food Insecurity Measurement Scale in a Nationwide Representative Sample

Modeling Optimal Cutoffs for the Brazilian Household Food Insecurity Measurement Scale in a Nationwide Representative Sample

Geographical variations of food insecurity and its associated factors in Bangladesh: Evidence from pooled data of seven cross-sectional surveys.

Food insecurity has multiple negative effects on maternal and child health and nutritional outcomes. There is a dearth of up-to-date evidence on the prevalence of food insecurity in Bangladesh based on geographical variations. We investigated the prevalence of food insecurity based on geographical variations and its associated factors. We pooled data from seven cross-sectional surveys conducted in 15,009 households from March 2015 to May 2018. This study was a part of the evaluation of the Maternal Infant Young Child Nutrition Phase 2 programme implemented by BRAC, one of the largest international non-governmental organizations located in Bangladesh that covered rural areas in 26 districts and two urban slums in Dhaka, Bangladesh. We used Household Food Insecurity Access Scale (a widely used scale to measure household food insecurity) to estimate the food insecurity status from the data collected through a face-to-face interview using a structured questionnaire. Hot spot analysis was conducted using the Getis-Ord Gi* statistic. The multiple logistic regression model was applied to explore the associated factors of food insecurity. The food insecurity hotspots were in the northwestern, central-southwestern, and coastal districts of Bangladesh. The overall prevalence of mild, moderate, and severe food insecurity were 12.7%, 13.8%, and 3.5%, respectively. In the adjusted model, household heads and caregivers of children with five or more years of schooling had respectively 42% (adjusted odds ratio (AOR): 0.58, 95% confidence interval (CI): 0.52, 0.64) and 46% (AOR: 0.54; 95% CI: 0.49, 0.61) less likelihood to suffer from food insecurity. Households in the middle (AOR: 0.58, 95% CI: 0.52, 0.65) and rich (AOR: 0.32, 95% CI: 0.28, 0.36) wealth status had lower odds of food insecurity. Food insecurity is widely spread in rural districts of Bangladesh and the degree of vulnerability is higher among the households of the northwestern, central-southwestern, and coastal areas of Bangladesh. Comprehensive interventions including strategies for poverty reduction and education for all might be effective to reduce food insecurity at rural households in Bangladesh.

The status and determinants of rural household food insecurity in North Shewa Zone, Oromia Region, Ethiopia

Food insecurity and under nutrition are significant challenges to the economic growth of Ethiopia. The objectives of this study were to identify the status and determinants of food insecurity for households targeted under a productive safety net program. About 392 beneficiary households were selected using multistage random sampling methods. The household food balance model and multiple linear regression models were used to measure household food insecurity levels and identify factors affecting food insecurity. According to the food balance model output, all sample households targeted under the program were food insecure. This revealed that the total daily energy available to the sample households was less than 2100 kcal per adult equivalent. Moreover, the multiple regression model output depicts that family size, sex of the respondents, total farm owned by the respondents, livestock size, credit utilization, household participation in community organization, household access to off/non-farm income, and household access to saving habit had a significant effect on food insecurity status of households. Therefore, in order to reduce the food insecurity status of households policymakers should focus on strengthening household saving habits, expanding off/non-farm activities, promoting family planning, and strengthening the credit services.

Considering gender differences in measuring household food insecurity in northern Ghana

ABSTRACT This study compares estimates of household food insecurity between men and women living within the same household (n = 866) to assess whether there is a gender bias in reporting. The main research question is, do household food insecurity scores and prevalence categories differ between male and female spouses within households in the sample? Findings indicate that men's household food insecurity estimates were lower on average at 3.49, than women's estimates at 5.06. There is also a statistically significant decrease in men's estimates when compared to women's. Overall, these findings question the reliability of household-level food insecurity measures that rely on heads of households' estimations by pointing to discrepancies found in this reporting between husbands and wives within the same household. Since this study sampled married women and men within the same household, gender differences found are also more directly attributable to gender than in most other studies that compare male and female-headed households' food insecurity reporting. Though further assessments across other cases are needed, more reliable measures of household food insecurity could include averaging estimates of multiple individuals within households. Qualitative research into the gendered dynamics could also improve sampling and the interpretation of findings from surveys on household-level measures.

Parental Feeding Practices in Families Experiencing Food Insecurity: A Scoping Review

Parental feeding practices and styles influence child diet quality and growth. The extent to which these factors have been assessed in the context of disadvantage, particularly household food insecurity (HFI), is unknown. This is important, as interventions designed to increase responsive practices and styles may not consider the unique needs of families with HFI. To address this gap, a scoping review of studies published from 1990 to July 2021 in three electronic databases was conducted. A priori inclusion criteria were, population: families with children aged 0–5 years experiencing food insecurity and/or disadvantage; concept: parental feeding practices/behaviours/style; and context: high income countries. The search identified 12,950 unique papers, 504 full-text articles were screened and 131 met the inclusion criteria. Almost all the studies (91%) were conducted in the United States with recruitment via existing programs for families on low incomes. Only 27 papers assessed feeding practices or styles in the context of HFI. Of the eleven interventions identified, two assessed the proportion of participants who were food insecure. More research is required in families outside of the United States, with an emphasis on comprehensive and valid measures of HFI and feeding practices. Intervention design should be sensitive to factors associated with poverty, including food insecurity.

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

ABSTRACTBackgroundThe 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.ObjectivesTo describe trends in severe FI in Brazil from 2004 to 2018.MethodsData 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.ResultsThe 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.ConclusionsAfter 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.

Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.

Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among Urban Productive Safety Net Program (UPSNP) beneficiary households in Addis Ababa, Ethiopia's capital city. A community-based cross-sectional study was conducted among 624 UPSNP beneficiary households in nine districts of Addis Ababa from June to July 2019. A multi-stage sampling method was used; study participants were selected using a simple random sampling technique after establishing the proportionally allocated sample size for 9 districts. Data were collected by trained personnel using a pretested, structured questionnaire. The outcome variable was food insecurity as measured by Household Food Insecurity Access Scale (HFIAS), a tool developed by the Food and Nutrition Technical Assistance Scale (FANTA) and validated for developing countries, including Ethiopia. A binary (crude odds ratio [COR]) and multivariable (adjusted odds ratio [AOR]) logistic regression analysis were employed at 95% CI (confidence interval). From the bivariate analysis, factors having a p-value<0.25 were included in the multivariable analysis. From the multivariable analysis, any variable at p-value < 0.05 at 95% CI was declared significantly associated with household food insecurity. Model fitness was also checked using the Hosmer-Lemeshow test with p-value>0.05. The prevalence of household food insecurity was 77.1% [95%CI:73.8-80.7] during the month prior to the survey. Illiteracy of household head [AOR: 2.56; 95%CI:1.08-6.07], family size of 4 or more [AOR: 1.87, 95%CI:1.08-3.23], high dependency ratio [AOR: 3.95; 95%CI:1.31-11.90], household lack of access to credit [AOR:2.85; 95%CI:1.25-6.49], low household income [AOR: 4.72; 95%CI:2.32-9.60] and medium household income [AOR: 9.78; 95%CI:4.29-22.35] were significantly associated with household food insecurity. We found that three in four of Addis Ababa's UPSNP beneficiary households were food-insecure. Implementation of measures to improve household income, minimize the dependency ratio of households, and arrange access to credit services are paramount ways to tackle food insecurity problems in Addis Ababa.

Psychometric properties of a modified version of Brazilian household food insecurity measurement scale - Pró-Saúde study.

We present results of initial steps of the psychometric evaluation of a proposed modified version of the Brazilian Household Food Insecurity Measurement Scale aimed at assessing adults' recall of food insecurity at age 12. Data were obtained through self-administered questionnaires from civil servants at university campuses in Rio de Janeiro, who participated in the first and fourth waves of the longitudinal Pró-Saúde Study. We evaluated test-retest reliability (n=58), internal consistency, factor structure, convergent, discriminant validity (n=3,253). Test-retest reliability kappa coefficients were above 0.65; Cronbach's α coefficient was 0.84. Factor loadings were above 0.800. The composite reliability was above 0.90. The square root values of the Average Variance Extracted were positive and statistically significant. Household food insecurity during childhood was strongly associated with larger family size and several sociodemographic conditions at age 12: female head of household, residence in rural area or small town, worse standard of living, and insufficient food due to lack of money. This initial evaluation suggests good performance. Further investigation should include additional psychometric properties and other population contexts.

1121-P: Unmet Social Needs and Depressive Symptomatology among Youth and Young Adults with Type 1 Diabetes

Youth and young adults (YYA) with type 1 diabetes (T1D) may be at risk for unmet social needs and depression due to the disease-associated cost and stressors. Little is known about how unmet social needs are linked to depressive symptomatology. These cross-sectional analyses used data from the SEARCH Food Security ancillary study (2018-2020) to examine the association of unmet social needs on depressive symptoms among 685 YYA with T1D. The USDA Household Food Security Survey Module was used to measure household food insecurity (HFI) over the past 12 months (food insecure (≥3 affirmations) vs. food secure). Participants were queried about their primary mode of transportation (personal vehicle vs. other form of transportation) and if they had stable housing (all the time vs. some or none of the time) over the past 90 days. Total number of unmet social needs (0-3) were calculated by summing these items. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression (CES-D) scale (scores 0-60). Linear regression was used to examine the association between number of unmet social needs and depressive symptom scores. Among YYA with T1D (mean age 23.4, SD 4.6 years), 17.1% had HFI, 14.0% lacked adequate transportation, and 4.3% experienced unstable housing; 23.5% had one, 5.1% had two, and 0.9% had three unmet social needs. Mean (SD) CES-D score was 14.3 (11.9), which is below the cutoff score of 16 for risk of depression. Compared to YYA with no unmet social needs, those with 1 and 2-3 unmet social needs had depressive symptom scores 5.9 and 15.9 points higher, respectively (p&amp;lt;0.0001 for both exposure values), after adjusting for age, sex, race/ethnicity, diabetes duration, clinic site, parental education, and household income. Social needs among YYA with T1D are confluent and are jointly and cumulatively associated with depressive symptoms. Future studies should investigate the impact of alleviating unmet social needs on depressive symptomatology among YYA with T1D. Disclosure A. D. Brown: None. S. M. Marcovina: None. A. D. Liese: None. J. A. Mendoza: None. E. A. Frongillo: None. K. Flory: None. B. A. Reboussin: None. E. T. Jensen: None. L. M. Dolan: None. A. Bellatorre: None. F. Malik: None. Funding National Institutes of Health (R01DK117461, T32GM081740)

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&lt;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.