Food Insecurity Score Research Articles

Understanding the Role of CalFresh Participation and Food Insecurity on Academic Outcomes among College Students during the COVID-19 Pandemic.

Food insecurity (FI) is associated with many adverse outcomes in college students. The Supplemental Nutrition Assistance Program (SNAP, known as CalFresh in California) has been observed to alleviate FI; however, on college campuses, the benefits of food assistance programs are not well understood. This study investigated whether college students benefit from CalFresh participation. It was hypothesized that students would experience increased FI over time and that CalFresh participation would moderate the effect of FI on grade point average (GPA). A comprehensive FI and CalFresh questionnaires were distributed during the 2020-2021 academic year to 849 students. The chi-square test of independence assessed differences between FI and student factors. A Friedman test assessed differences in FI during the three quarters. Moderation analysis assessed whether CalFresh participation moderated FI's effect on GPA. Differences were observed among food security scores in Winter 2021 (median = 1.69) and Fall 2020 (median = 2.14; p = 0.013) and Spring 2020 (median = 2.17; p = 0.009). In the moderation model, the interaction of FI score and CalFresh participation was positively correlated with GPA (B = 0.11; p = 0.002). These results indicate that SNAP/CalFresh participation was particularly beneficial for mitigating the negative effects of FI on GPA. Given these benefits, encouraging SNAP/CalFresh enrollment should be a priority for university administrators.

Measuring Food Security in the United States for More Than 25 years: History, Methods, Findings, and Opportunities

This article sets the stage for the “25 Years of Food Security Measurement: Answered Questions and Further Research” conference, with support from the Economic Research Service of the US Department of Agriculture, by providing some history of federal food security measurement, summarizing notable findings, and reviewing selected special topics in analysis methods. The federal government uses food security surveys to monitor national progress toward reducing food insecurity and to evaluate federal nutrition assistance programs. For the monitoring purpose, there is a tension between focus (on a single authoritative measurement approach) and breadth (encompassing multiple tools or instruments suitable for diverse populations, contexts, and applications). For the program evaluation purpose, challenges include coordination with study designs capable of real causal estimation in the face of strong self-selection effects and tailored reference periods in survey questions that match the timing of program participation. Some analysis methods treat the food security survey items as distinct experiences of hardship, whereas others treat the food security survey items as windows on an underlying latent variable, a food insecurity score. The severity of food-related hardship may be assessed quantitatively by the number of distinct hardships reported, by the estimated value of a latent food insecurity score, or by the frequency of occurrence for sentinel hardships. Ongoing work investigates statistical approaches that are sufficiently simple for policy application and yet sufficiently flexible to accurately match the empirical survey evidence.

Food insecurity and its determinants among adults in North and South India

BackgroundFood insecurity is a major public health problem worldwide. In India, there are limited food insecurity assessment studies using a conventionally accepted method like the Food Insecurity Experience Scale (FIES), developed by the Food and Agricultural Organization (FAO). This study aims to measure food insecurity using the FIES and explore its determinants and association with body mass index (BMI) among Indian adults. MethodsIn a cross-sectional study, we used FIES to measure food security in a sample of 9005 adults residing in North and South India. Using questionnaires, socio-demographic factors, dietary intake and food security data were collected. The dietary diversity scores (FAO-IDDS) and food insecurity scores (FAO-FIES) were calculated. Body size was measured and BMI was calculated. ResultsThe mean age of the study participants was 52.4 years (± 11.7); half were women and half resided in rural areas. Around 10% of the participants reported having experienced (mild or moderate or severe) food insecurity between October 2018 and February 2019. Dietary diversity (measured by FAO’s Individual Dietary Diversity Scores, IDDS) was low and half of the participants consumed ≤ 3 food groups/day. The mean BMI was 24.7 kg/m2. In the multivariate analysis, a lower IDDS and BMI were associated with a higher FIES. The place of residence, gender and wealth index were important determinants of FIES, with those residing in South India, women and those belonging to the poorest wealth index reporting higher food insecurity.ConclusionFood security is understudied in India. Our study adds important evidence to the literature. Despite having marginal food insecurity, high prevalence of low diet quality, especially among women, is disconcerting. Similar studies at the national level are warranted to determine the food insecurity situation comprehensively in India and plan appropriate policy actions to address it effectively, to attain the key Sustainable Development Goals (SDG).

Binge-Spectrum Eating Disorders, Mood, and Food Insecurity in Young Adults With Obesity.

Disordered eating is common but underrecognized in people with obesity and the relationship of food insecurity, mood, and binge-spectrum eating disorders has not been well addressed in samples with higher weight. Young adults are particularly vulnerable to developing disordered eating. The purpose of this study was to compare the prevalence of food insecurity, depressive symptoms, anxiety, and loneliness among young adults (aged 18-35 years) who screened positive for binge-spectrum eating disorders (i.e., binge eating disorder and bulimia nervosa), those with subthreshold forms of these disorders, and individuals who did not screen positive for these conditions. This was a cross-sectional study of young adults with a self-reported body mass index ≥30 kg/m2 from the United States who were recruited online. Participants (N = 1,331; M ± SD age = 28.0 ± 3.4 years; body mass index [BMI] = 36.5 ± 6.2 kg/m2; 73.9% male; 56.3% White) completed surveys that evaluated disordered eating behaviors, food insecurity, mood, and lifestyle factors. In the sample, 8.0% of participants screened positive for binge-spectrum eating disorder and 16.0% had probable subthreshold symptoms. Higher depressive symptoms (odds ratio [OR] = 1.11, 95% confidence interval [CI] = [1.03, 1.20], p = .01), perceived stress (OR = 1.13, 95% CI = [1.07, 1.19], p < .001), and food insecurity scores (OR = 1.12, 95% CI = [1.03, 1.21], p = .01) were associated with an increased likelihood of threshold binge-spectrum eating disorders. People with disordered eating should also be evaluated for mood disorders and food insecurity and vice versa. Further research is needed to evaluate interventions that address food insecurity and mood disorders, which may help to decrease disordered eating.

Determinants and consequences of food insecurity in families having children under the age of 2 years.

Background: Today, food insecurity is recognized as an important public health problem that can have detrimental effects on families. Aim: The aim of this study was to assess the determinants and consequences of food insecurity in families having children under the age of 2 years. Method: In this cross-sectional study, 307 mothers and their children under the age of 2 years were selected by stratified random sampling. Demographic and socioeconomic data were collected by completing questionnaires through face-to-face interview. Household food insecurity (HFI) status was determined using the United States Department of Agriculture (USDA) household food security questionnaire. Results: Based on the results, 67.4% of families were high food secure. Low and very low food security was 25.7% and 6.9%, respectively. House size (Beta = -0.019, 95% CI: -0.029, -0.009), father's job (Beta = -4.758, 95% CI:-6.777, -2.738), father education (Beta = -0.370, 95% CI: -0.717, -0.023), and economic status (Beta = -0.628, 95% CI: -0.809, -0.448) were significantly related to the USDA total food insecurity score (p < 0.05). Regression analysis showed that children birth weight, father's body mass index (BMI), and mother's waist circumference had a significant positive correlation with weight for age (Z-score) of children. Children's birth weight, father's BMI, and HFI status had significant and positive correlation with weight for length (Z-score). Moreover, the significant association between children's birth height, mother's BMI, and mother's waist circumference with length for age (Z-score) were observed (p < 0.05). Conclusion: We found the father's job was the most effective factor in food insecurity and economic status of the family was in the second place. Also, HFI had a relationship with weight status of children under the age of 2 years.

Exacerbation of household food insecurity among low-income families in Hong Kong during the COVID-19 pandemic.

The economic depression and reduced physical mobility associated with COVID-19 potentially affected the food security status of the poor. This study aimedto assess the possible worsening of perceived food insecurity among low-income families in Hong Kong. Families either receiving government subsidies or living in a subdivided flat referred by local non-governmental organisations were invited to participate in a telephone survey. Food security status before (by recalling) and during the pandemic were assessed using Household Food Insecurity Access Scale. Chi-square analysis and ANOVA were used to test the difference between the percentage of participants who responded affirmatively to survey questions and various categories of food insecurity. Paired t-test was used to examine the reported change in food insecurity score before and during the COVID-19 pandemic. Association between socio-demographic factors and change in food insecurity score was then assessed by multiple linear regression using backward stepwise elimination. Findings from the 212 households revealed that, for all nine questions concerning food insecurity, there wasa significantly higher percentage of affirmative responses during versus before the pandemic. The proportion of food-secure households dropped from 16.5% to 7.1% amidst the pandemic. By contrast, households with severe food insecurity increased from 19.3% to 33.5%. Regression analysis showed that those households who were living in subdivided flats and with high monthly housing expenses, were likely to experience an exacerbation of food insecurity. Meanwhile, households with divorced parents (probably due to consistent social subsidy) and high household incomes, showed resilience toward food insecurity. Concurrently, about one fifth of children in these households had an experience of starvation for a whole day due to financial constraints. The exacerbation of food insecurity among low-income families during the COVID-19 pandemic necessitates timely assessments and the implementation of appropriate measures to prevent them from experiencing physiological harm. These initiatives can be guided by the identified at-risk socio-economic characteristics in the present study.

When the flood passes, does health return? A short panel examining water and food insecurity, nutrition, and disease after an extreme flood in lowland Bolivia.

Flooding is the most frequent extreme-weather disaster and disproportionately burdens marginalized populations. This article examines how food and water insecurity, blood pressure (BP), nutritional status, and diarrheal and respiratory illnesses changed during the 2 months following a historic flood in lowland Bolivia. Drawing on longitudinal data from Tsimane' forager-horticulturalist (n=118 household heads; n=129 children) directly after a historic 2014 flood and ~2 months later, we use fixed effects linear regression and random effects logistic regression models to test changes in the markers of well-being and health over the recovery process. Results demonstrated that water insecurity scores decreased significantly 2 month's postflood, while food insecurity scores remained high. Adults' systolic and diastolic BP significantly declined 2 months after the flood's conclusion. Adults experienced losses in measures of adiposity (BMI, sum of four skinfolds, waist circumference). Children gained weight and BMI-for-age Z-scores indicating buffering of children by adults from food stress that mainly occurred in the community closer to the main market town with greater access to food aid. Odds of diarrhea showed a nonsignificant decline, while cough increased significantly for both children and adults 2 months postflood. Water insecurity and BP improved during the recovery process, while high levels of food insecurity persisted, and nutritional stress and respiratory illness worsened. Not all indicators of well-being and health recover at the same rate after historic flooding events. Planning for multiphase recovery is critical to improve health of marginalized populations after flooding.

Food security association with some risk factors of obesity-related diseases in Ardabil-Iran population

The aim of the study is the assessment of the food security status and its association with some risk factors of chronic obesity-related diseases in Ardabil-Iran population. METHODS: This cross-sectional study was done between 500 adults of Ardabil that were selected by random sampling from Persian cohort study participants, in January 2019. Food insecurity of study participants was measured using the United States Department of Agriculture 18-item questionnaire. Some risk factors of chronic diseases including fasting blood glucose, lipid profile, liver enzymes, and dietary information were measured on the day of the interview. To assess the association between variables the correlation and linear regression tests were used. RESULTS: Forty-eight and six percent of the study participants were food secure and 51.4% were in food insecurity status. There were a significant difference in weight, blood glucose, blood pressure, and serum triglyceride levels between the food security status groups (P &lt; 0.05). The food insecurity score had significant association with participants, weight (p = 0.005,β= 1.66), serum triglycerides (p = 0.022,β= 0.027), body mass index (p = 0.003,β= 0.645) and fasting blood sugar (p = 0.0001,β= 0.664). CONCLUSION: About half of the participants were in food insecurity status. Food insecurity status can be associated with obesity and some risk factors of chronic obesity-related diseases. This problem requires main food policies to reduce food insecurity in the community.

Associations of Maternal and Child Fatty Acid Status With Child Growth and Development Outcomes in Ghana

ObjectivesMaintaining adequate fatty acid intake during pregnancy and lactation is necessary to support fetal and infant growth. Low maternal intake may lead to decreased transfer of fatty acids to the fetus. Our objective was to examine associations of individual fatty acid status at three different time points with child growth and development outcomes at 18 months. MethodsA cohort of 1,320 women were enrolled in the International Lipid-Based Nutrient Supplements Dyad Ghana trial (iLiNS-DYAD-G). Fatty acids were measured in maternal plasma at 36 weeks gestation (n = 130), maternal breast milk six months postpartum (n = 303), and child plasma at 18 months (n = 369) and quantified as weight percentage of total identified fatty acids of the sample (% weight). We examined correlations between time points (maternal, breastmilk, and child) for five indicators of fatty acid status: % weight of four individual fatty acids (alpha-linolenic acid, ALA; linolenic acid, LA; docosahexaenoic acid, DHA; arachidonic acid, AA) and the n6: n3 ratio (ratio of LA & AA to ALA, DHA & EPA). We then examined whether each fatty acid indicator was associated with child growth (head circumference for age, length for age, weight for length z-scores) or developmental outcomes (motor, language, and social-emotional scores) at 18 months. Adjusted regressions included child sex, food insecurity scores, socioeconomic status, intervention group, and years of maternal education. ResultsMaternal plasma and breast milk were positively correlated for % weight AA, LA, and n6: n3 ratio. Maternal and child plasma were positively correlated for % weight DHA and n6: n3 ratio. Breast milk and child plasma fatty acids were positively correlated for % weight AA, ALA, DHA, and n6: n3 ratio. Associations of fatty acid status indicators with child growth and developmental outcomes were not significant after correcting for multiple comparisons. ConclusionsAlthough maternal fatty acid status was associated with breastmilk and child fatty acid status, maternal and child fatty acid status was not generally associated with child growth and development at 18 months of age in this sample of mother-child dyads in Ghana. Funding SourcesBill & Melinda Gates Foundation; National Institute of Child Health and Human Development & Fogarty International Center R01HD099811.

27-LB: Prevalence and Severity of Diabetic Retinopathy in African Americans with End-Stage Kidney Disease

Background and Methods: This cross-sectional study determined the prevalence of diabetic retinopathy (DR) in non-Hispanic African Americans (AA) with end-stage-kidney disease (ESKD) and their impact on quality of life. A total of 95 adults with type 1 (n= 10) and type 2 (n= 85) on dialysis diabetes were assessed for DR using portable hand-held (Optomed Aurora) with artificial intelligence report with AEYE Diagnostic System (AEYE-DS) , visual acuity using a Snellen chart, and social determents of health, and standardized questionnaires (Kidney Disease Quality of Life (KDQoL) , depression screening (Patient health Questionaire-9) and food insecurity. Results: Among the 95 participants (female 51%, mean age 59.5 ±12.3 years, duration of diabetes (DM) 18.2 ± 12.0 years and duration of dialysis 4.5±3.6 years) . A total of 55% of patients had a diagnosis of (DR+) , who had a longer duration of DM (18.8±9.5 vs. 15.8±12.2 years, p=0.20 and shorter duration of dialysis (3.6±2.7 vs. 5.9±5.0 years compared to DR negative (DR-) , p=0.09. Kidney Disease Quality of Life score on symptoms/problems related to ESKD and greater effect of kidney disease in daily life were lower compared to the general US, AA population with ESKD, p &amp;lt;.0001) . DR+ had worse physical health (p: 0.09) , greater rate of severe vision impact on quality of life (p= 0.01) , similar rates below the federal poverty level per household income (25% vs. 30%) , non-statistically significantly higher Ph-Q9 depression (6.9±5.3 vs. 4.8±4.1, p=0.16) , and food insecurity scores compared to without DR (1.07±1.51 vs. 0.83±1.56, p=0.33) . Overall, the prevalence of diabetic retinopathy was 55% based on the AEYE artificial intelligence system. Diabetic retinopathy was associated with poor quality of life and physical health, higher rates of poverty, and greater impact of vision impairment on quality of life compared to DR negative. Our preliminary finding highlights the increased disease burden of DR in AAs with ESKD, indicating an alarming gap in care. Disclosure M. Egeolu: None. G. E. Umpierrez: Research Support; AstraZeneca, Dexcom, Inc., Novo Nordisk. E. Manishimwe: None. Z. E. Zabala: None. B. Moazzami: None. R. L. Caleon: None. R. J. Galindo: Advisory Panel; Sanofi, WW International, Inc., Research Support; Dexcom, Inc., Eli Lilly and Company, Novo Nordisk. J. E. Navarrete: None. A. Y. G. Gerges: None. L. Peng: None.

Food Insecurity, Dietary Diversity, and Coping Strategies in Jordan during the COVID-19 Pandemic: A Cross-Sectional Study.

The 2019 coronavirus disease (COVID-19) is an emerging respiratory infection with severe impacts on the nutritional status of the worldwide population. This cross-sectional study was conducted to assess the food insecurity, dietary diversity, and food-related coping strategies in Jordan during the pandemic using an online, self-administered questionnaire. Among the 740 adults who completed the survey, the prevalence of food security was 84.1%, whereas 2% and 13.9% were moderately and severely food-insecure, respectively. The determinants of food insecurity were educational level, monthly income, marital status, availability of health insurance, and type of residence. In addition, food insecurity was significantly higher among the participants who consumed two or fewer meals per day (p = 0.015). Moreover, an acceptable food consumption score was shown among 76.2% of the participants, and the remaining participants were at borderline (14.1%) or had poor scores (9.7%), with a significant association between food insecurity and food consumption scores (p < 0.001). The food-related coping strategies studied were significantly associated with food insecurity at both levels (p < 0.001) and were more evident in the severely food-insecure group. These findings highlight the adverse effects of COVID-19 restrictions on nutritional status, especially among food-insecure households, which might reduce food accessibility due to economic difficulties.

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.

Feasibility of a Home-Delivery Produce Prescription Program to Address Food Insecurity and Diet Quality in Adults and Children.

Produce prescription programs aim to improve food insecurity (FI) and nutrition but their effectiveness is unclear. We conducted a pilot study to demonstrate the feasibility and explore the potential impact of a family-based, home-delivery produce prescription and nutrition education program. We measured enrollment, satisfaction, participation, and retention as measure of feasibility. Adult participants answered pre-post self-report questionnaires assessing FI, child and adult fruit and vegetable intake, and culinary literacy and self-efficacy. To understand participants’ lived experiences, qualitative interviews were conducted at the 6-month time point. Twenty-five families were enrolled. Feasibility measures indicate participants were generally satisfied with the program but there were important barriers to participation. Qualitative data revealed themes around reduced food hardship, healthy eating, budget flexibility, and family bonding. Fruit and vegetable consumption increased in a small subgroup of children, but post-intervention intake remained below recommended levels, particularly for vegetables. FI scores were not significantly different post-intervention, but qualitative findings indicated improved access and reliability of food. This is the first intervention of its kind to be evaluated for feasibility and our results suggest the intervention is well-received and supportive. However, further study, with a larger sample size, is needed to understand factors influencing participation and assess effectiveness.

Factors associated with food security of Texas Woman’s University freshmen

Objective To investigate what factors are associated with food insecurity (FI) among freshman students and identify potential solutions. Participants 73 freshman students. Methods Cross-sectional, Internet survey-based study. Fisher’s Exact tests examined factors associated with food security (FS); Cohen’s Kappa assessed the agreement between FI scores and self-assessment; thematic analysis used Nvivo 12. Results FI was 54.2% among the diverse students (65% non-white). Factors associated with FS included mother with a college degree (p = .018); father employed full-time (p < .001); identifying one’s family financial situation as better than others (p = < .001); not obtaining personal student loans (p = 0.022). Students with FI tended to overestimate their FS status. Suggested solutions for FI included: improved finances, improved food accessibility, improved cooking skills. Conclusions Future interventions should target freshmen who obtain personal student loans or have parents with less than a college degree or unstable employment status. (148)

Basic Needs Insecurities Are Associated with Anxiety, Depression, and Poor Health Among University Students in the State of New Mexico.

Basic needs insecurities affect university students disproportionately and may impact health and academic performance. This study examined associations between food insecurity (FI), housing insecurity (HI) and a novel basic needs insecurity score, and mental and physical health among university students. Eight-thousand undergraduate and postgraduate students at a large university in the southwestern U.S. were selected via stratified random sampling to complete an online cross-sectional survey in April 2021. The survey included the USDA 10-item food security module, a 9-item housing insecurity measure, the Generalized Anxiety Disorder-2 screener (GAD-2), the Patient Health Questionnaire-2 (PHQ-2) assessing depression, and self-rated health. Sociodemographics were self-reported and integrated from the university’s enterprise system. Multiple logistic regression was utilized to examine odds of depression, anxiety, and fair/poor health by food and housing security status. Multiple linear regression was utilized to examine predictors of food insecurity score (range = 0–10), housing insecurity score (range = 0–9), and an overall basic needs insecurity score (range = 0–19). Eight-hundred thirty-three students participated (response rate = 10.4%; mean age = 28.3 years, 66% female, 40% Hispanic, 60% undergraduates). Nearly 26% were food insecure in the past month and 44% were housing insecure in the past year. Basic needs insecurities significantly increased odds of anxiety (FI aOR = 4.35, HI aOR = 3.43), depression (FI aOR = 3.18, HI aOR = 3.16), and fair/poor health (FI aOR = 2.84, HI aOR = 2.81). GAD-2 score explained the most variance in food (r-squared = 0.14), housing (r-squared = 0.12), and basic needs insecurity scores (r-squared = 0.16). Basic needs insecurities remain concerns among university students due to associations with mental and physical health, prompting a critical need for multifaceted interventions.

Food insecurity status is of added value in explaining poor health: a cross-sectional study among parents living in disadvantaged neighbourhoods in the Netherlands

ObjectivesThe aim of this study was to examine the added value of food insecurity in explaining poor physical and mental health beyond other socioeconomic risk factors.Design, setting, participants and outcome...

Abstract WP231: Nutrition And Food Insecurity Among Stroke Survivors

Background: Food insecurity (FI) is a social determinant of health (SDOH) that impacts access to adequate quality food, which may result in poor nutrition and increased cardiovascular risk. In chronic disease populations, FI is associated with poor nutrition and higher vascular risk. We sought to investigate FI in stroke survivors (SS) and hypothesized that FI would be associated with inadequate fruit and vegetable (FV) intake. We also evaluated relationships between FI, FV intake, and other clinical and demographic factors. Methods: We conducted a retrospective review of SS presenting for an initial visit to the UTHealth Stroke clinic from 1/28/21 to 7/31/21. We included SS who completed a 2-question FI screener (Hunger Vital Sign) and the Block Fruit and Vegetable (FV) Frequency screener. FI and FV scores were determined with standard techniques; FV score was dichotomized (score &lt; 11 indicates inadequate intake - validated). Patient data were self-reported. Chi-squared, fisher’s exact, and t-tests were conducted for univariate analysis (Table). Results: Among 383 potentially eligible SS, we included 285 who completed the FV and FI questionnaires (X age =62; 50% female). Of those, 39 (13.7%) were FI and 149 (52.3%) had inadequate FV. Among demographic and clinical factors, only race/ethnicity was associated with FI. Compared to White SS, Hispanic and Black SS had higher odds of FI (OR 3.62, 95%CI 1.19-11.03 and OR 3.24, 95% CI 1.07- 9.83, respectively). FI was not associated with inadequate FV intake. Inadequate FV intake was not associated with clinical or demographic factors; however, there were trends of better FV intake among currently employed SS and those with more than high school education. Conclusions: We did not find associations between FI and inadequate FV intake. This suggests that there may be other SDOH that contribute to poor dietary intake in this population.

Food Insecurity and Healthcare Utilization in Indonesia: Evidence from Indonesian National Household Surveys

Treatment for sicknesses in healthcare is a crucial determinant to improve health. In Indonesia, the unmet need for healthcare is common for people in the lower economic group. This study aims to examine how food insecurity affects outpatient care using the indicators of food insecurity to highlight individuals with high health risks and experiencing problems with limited resources. The data used in this study consisted of 159,236 individuals representing different age ranges from the 2017 National Socio-Economic Survey (SUSENAS) and the 2018 Village Potential Census (PODES). Data were analyzed using ivprobit to address bias due to the endogeneity in the food insecurity variables. The results indicate that a higher food insecurity score will increase the chances of not accessing modern healthcare for outpatient care when sick. Several variables like sex, types of residence, number of household members living together, access to healthcare, health insurance, social protection, and illness characteristic were also found to influence individual behavior in not utilizing modern healthcare for outpatient care. This study suggests that policymakers should pay attention to the utilization of modern healthcare, especially for outpatient care in groups experiencing food insecurity.

Household Food Insecurity Scores are Higher among Adults Infected with COVID-19: A Cross-Sectional Online Study among an Iranian Population

Introduction: Food insecurity has negative impacts on health, including the function of the immune system. The association between food insecurity and COVID-19 infection rates has not been fully understood. This study aimed to examine whether food-insecure households are more vulnerable to COVID-19 infection. Materials and Methods: This online cross-sectional study was conducted on 2,871 Iranian adults (31 provinces), from August to September 2020. Demographic and socio-economic information was collected using a questionnaire. The Household Food Insecurity Access Scale (HFIAS) was used for assessing household food insecurity. The data analysis was performed by SPSS.22, using Chi-square test, ANOVA test, and Multinomial Logistic Regression Model. Results: The findings indicated that healthcare personnel were at higher risk of COVID-19 (CI = 1.90, 7.05; OR = 3.66; P &lt; 0.001). It was also shown that HFIAS scores were significantly higher among infected people compared to non-infected (CI = 1.00, 1.05; OR = 1.03; P &lt; 0.05). Women were at lower risk of infection compared to men (CI = 0.41, 0.87; OR = 0.60; P &lt; 0.05). Conclusions: Based on the results, in addition to long-term policies to improve food security, policymakers are recommended to implement short-term policies to reduce the vulnerability of the community to COVID-19 virus.

Community-Level Impacts of Climate-Smart Agriculture Interventions on Food Security and Dietary Diversity in Climate-Smart Villages in Myanmar

Diversification of production to strengthen resilience is a key tenet of climate-smart agriculture (CSA), which can help to address the complex vulnerabilities of agriculture-dependent rural communities. In this study, we investigated the relationship between the promotion of different CSA practices across four climate-smart villages (CSVs) in Myanmar. To determine the impact of the CSA practices on livelihoods and health, survey data were collected from agricultural households (n = 527) over three years. Within the time period studied, the results indicate that some the CSA practices and technologies adopted were significantly associated with changes in household dietary diversity scores (HDDS), but, in the short-term, these were not associated with improvements in the households’ food insecurity scores (HFIAS). Based on the survey responses, we examined how pathways of CSA practice adoption tailored to different contexts of Myanmar’s four agroecologies could contribute to the observed changes, including possible resulting trade-offs. We highlight that understanding the impacts of CSA adoption on household food security in CSVs will require longer-term monitoring, as most CSA options are medium- to long-cycle interventions. Our further analysis of knowledge, attitudes and practices (KAPs) amongst the households indicated a poor understanding of the household knowledge, attitudes and practices in relation to nutrition, food choices, food preparation, sanitation and hygiene. Our KAP findings indicate that current nutrition education interventions in the Myanmar CSVs are inadequate and will need further improvement for health and nutrition outcomes from the portfolio of CSA interventions.