What are we assessing when we measure food security? A compendium and review of current metrics

Effect of passive solar drying on food security in rural Mozambique

Achieving food security in Mozambique is critical, since 80% of the population cannot afford an adequate diet. While increasing agricultural production is a necessary effort to address this challenge, inadequate post-harvest treatment leads to storage losses and quality degradation, with repercussions for food security. The use of solar drying is promoted as a solution to provide efficient and reliable access to food preservation that improves the food security situation in rural communities. However, there is a lack of clear evidence on how the use or access to solar drying affects food security. This study identifies the determinants of farmers' choice to use solar drying and evaluates the effect of a passive solar dryer on food security using survey data from 634 households. We allocated solar dryers to selected communities and all interested individuals belonging to these communities were eligible to use it. Propensity score matching and endogenous switching poisson regression are used to estimate the average effect. The use of solar drying with associated training significantly increases the food security status of participants by increasing household food availability, women's dietary diversity, and months of adequate household food provision and by decreasing the household food insecurity access scale.

Who shops at their nearest grocery store? A cross-sectional exploration of disparities in geographic food access among a low-income, racially/ethnically diverse cohort in Central Texas

We examined whether Central Texans shop at their nearest supermarket, how far they travel for groceries, and explored differences by race/ethnicity, urbanicity, motivations for store selection and other demographic characteristics. Using cross-sectional data and GIS, continuous network distances from participants' homes to nearest and usual supermarkets were calculated and multivariate linear regression assessed differences. <19% shopped at their nearest supermarket. Regression models found that urbanicity played a large role in distance traveled to preferred supermarket, but other factors varied by race/ethnicity. Our findings demonstrate racial/ethnic and urbanicity disparities in food access and multiple domains of food access need greater consideration.

Climatic conditions and household food security: Evidence from Tanzania

Food security and adequate nutrition are critical for achieving progress toward sustainable development. Two billion people worldwide experience moderate to severe food insecurity, and rates of hunger have increased over the past several years after declining steadily for decades. The FAO attributes this increase in large part to climate change, though empirical evidence on the relationship between climatic conditions and food security remains limited. We examine this question by linking nationally representative longitudinal data from four rounds of the Tanzania National Panel Survey to high-resolution gridded climate data. We then estimate a set of fixed effects regression models to understand the linkages between recent rainy season precipitation and temperature and two indicators of household food security: Food Consumption Score (FCS) and reduced Coping Strategies Index (rCSI). We find that low rainfall-particularly dry and cool conditions-is negatively associated with food security. Moving from a typical rainfall year to a particularly dry one increases the risk of being food insecure on both measures simultaneously by 13-percentage points. This suggests that a lack of rainfall impedes households' ability to access food, likely through reduced agricultural production and increased food prices, leading to lower dietary diversity and food shortages. Vulnerability is higher among households with fewer working age members, suggesting that households with a greater supply of labor can better withstand droughts. As climate change alters precipitation and temperature patterns over the coming decades, policies to increase resilience will be critical for improving food security, particularly among populations heavily reliant on agriculture.

Food Consumption Structure and Food Security-Through Mediating Effect Analysis of Agricultural R&D and Agricultural Investment

Food security is the cornerstone that ensures the stable development of a country. Based on panel data of 31 provinces (including autonomous regions and municipalities) in China from 2015 to 2019, we use the mediating effect model to explore the mechanism by which food consumption structure affects food security. The results indicate that grain consumption has a significant promoting effect on food security, while plant and animal food consumption have significant inhibiting effects on food security. Furthermore, agricultural R&D and investment play mediating roles in the impact of food consumption structure on food security. Obvious differences exist in the relationship between food consumption structure and food security between urban and rural areas, as well as between Eastern, Central, and Western regions. Animal food consumption had a negative and significant impact on food security, with a stronger effect on rural residents than on urban residents. Compared with the central and western regions, grain consumption and animal food consumption in the eastern region had a stronger marginal impact on food security. This paper enriches and expands the research on influencing factors of food security from the perspective of consumer demand, which has important theoretical value and practical significance for ensuring food security.

Dietary diversity, food insecurity and the double burden of malnutrition among children, adolescents and adults in South Africa: Findings from a national survey

Childhood stunting remains a global public health problem. Many stunted children live in the same household as overweight or obese adults (the so-called double burden of malnutrition), evidence that quality as well as quantity of food is important. In recent years, food security measurement has shifted away from anthropometry (e.g., stunting) to experiential measures (e.g., self-reported hunger). However, given the continued problem of stunting, it is important that national surveys identify malnutrition.

Objectives

To examine the associations between a variety of food security indicators, including dietary diversity, with adult, child (0-4 years) (5-9 years) and adolescent (10-17 years) anthropometry. To estimate the prevalence of double burden households.

Methods

The study utilized cross-sectional data from the South African National Income Dynamics Survey NIDS (2008). We examined the associations between five food security indicators and anthropometry outcomes. The indicators were adult and child hunger in the household, self-reported household food sufficiency, food expenditure>60% of monthly expenditure and household dietary diversity. Multinomial and logistic regression models were employed to examine the associations with adult BMI categories and children's stunting and BMI.

Results

The prevalence of stunting was 18.4% and the prevalence of wasting and overweight was 6.8 and 10.4%, respectively. Children <5 and adolescents with medium dietary diversity were significantly more likely to be stunted than children with high dietary diversity. Among children <5, child hunger and medium dietary diversity were significantly associated with wasting. None of the food security indicators were associated with stunting in children aged 5-9. Among stunted children, 70.2% lived with an overweight or obese adult. Among adults, increased dietary diversity increased the risk of overweight and obesity.

Conclusion

Dietary diversity can be used as a proxy for poor nutritional status among children <5 years and adolescents but the relationship between dietary diversity and adult obesity is more complex. Given the double burden of malnutrition in many low- and middle-income countries, indicators of dietary quality remain important. These tools can be further refined to include an extra category for processed foods. Given the relative simplicity to collect this data, national surveys would be improved by its inclusion.

Socio-demographic predictors of food security among rural households in Langai district in Plateau-Nigeria: a cross-sectional study

Introduction

household food insecurity is a critical social determinant of health globally. There is a rising global prevalence of food insecurity which affects households' access to food of adequate quantity and quality. This study assessed the level of food security and its socio-demographic determinants among rural households.

Methods

this is a cross-sectional community survey among 201 rural households in Langai district representing a total population of 1,284. Reported food security was assessed using Food Consumption Scores and Coping Strategy Index. Data were analysed with SPSS 21. Analysis was done to assess the level of food-security associated factors. Multivariable analysis was done to assess determinants of food security. P-value <0.05 is considered significant.

Results

forty-three percent of all households have a total income greater than the national minimum wage. Overall, 21.4% are quality-food insecure (FCS), 6.5% have severe coping behaviour (CSI-food insecure) and 34.8% are highly economically vulnerable to food insecurity. Significant predictors of household food security include women earning than the basic monthly wage (AOR: 4.29 [95%CI: 1.34-13.71]; p=0.014); those without marital partners (AOR: 4.91 [95%CI: 1.01-23.90]; p=0.049); smaller household size (≤ 5) (AOR: 2.69 [95%CI: 1.16-6.24]; p=0.021); and those not receiving financial support (AOR: 2.68 [95%CI: 1.17-6.13]; p=0.020).

Conclusion

almost a quarter of all households' experience food insecurity with more than one-third being highly vulnerable to food insecurity. Efforts should be made to cushion the effect of global food insecurity among vulnerable populations and improve livelihood through improved agricultural practices to have sustainable and equitable food security.

Evaluating the association between food insecurity and risk of nephrolithiasis: an analysis of the National Health and Nutrition Examination Survey

PURPOSE

This study aimed to investigate the relationship between self-reported food security and kidney stone formation.

METHODS

Data were collected from the National Health and Nutrition Examination Survey (NHANES), a database representative of the United States population. Food security status was assessed using the US Household Food Security Survey Module: Six-Item Short Form. Characteristics of patients were compared using the Chi-square test and the student t-test. Multivariate logistic regression was performed using a multi-model approach.

RESULTS

We analyzed 6,800 NHANES survey respondents. 37.2% of respondents were categorized as having "low food security" (scores 2-4) and 24.0% having "very low food security" (scores 5-6). 8.4% of respondents had a history of kidney stones. We found that people with very low food security had a 42% increased likelihood of developing kidney stones compared to those with high or marginal food security, after controlling for race, age, and comorbidities (OR 1.42; 95% CI 1.01-1.99). Between the different food security groups, no significant differences were observed in age, race/ethnicity, body mass index, gout history, osteoporosis history, or coronary artery disease history. Lower food security was associated with slightly younger age (< 1 year difference, p = 0.001), higher poverty-income ratio (p = 0.001), and many comorbidities, including kidney stones (p = 0.007).

CONCLUSION

Our study provides evidence for an association between food access and the risk of kidney stone disease. Given these findings, food insecurity should be investigated as a modifiable risk factor for the development of kidney stone disease.

Food and Mood: Daily Associations Between Missed Meals and Affect Among Early Adolescents

OBJECTIVE

Youth frequently miss meals and experience hunger, yet no studies have assessed how these experiences relate to changes in daily emotional states. This daily diary study examined associations of missing breakfast, missing lunch, and hunger with daily positive and negative affect among young adolescents.

METHODS

A community sample of 133 grade 5 and 6 students (50.4% boys, Mage = 10.77, 19.5% BIPOC) from two public schools completed baseline socio-demographic measures at the beginning of the study and daily measures at the end of the school day over 5 consecutive days. Measures included positive and negative affect, breakfast, lunch, and hunger. Multilevel regression models were constructed to test the associations.

RESULTS

Among participating youth, 27.8% missed breakfast at least once, 15.0% missed lunch at least once, and 26.3% felt hungry at least once. Missing breakfast was associated with increased negative affect (B = 0.36, p = .030) and missing lunch was related to both increased negative affect (B = 0.52, p = .019) and decreased positive affect (B = -0.80, p = .002). Hunger was not related to daily affect.

CONCLUSION

This study provides a unique view of youths' experiences of missing meals, hunger, and daily emotional states. The findings underscore the importance of youth being adequately nourished through school meal programs. Clinicians should screen for and address missing meals among their young patients.

Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)

Improving sustainable food security status, nowadays, is an important challenge globally, especially in developing countries. The policy goal should be equity—everyone has the same opportunity to be food secure—rather than equality—everyone gets the same subsidy. Since the culture and socioeconomic status within a country vary from region to region, collapsing all areas into a unique region may introduce errors and inaccurate results, as most studies carried out. This study assesses the geographical pattern of association between food security and socioeconomic factors in urban areas in Iran using a nationally and regionally representative household consumption-expenditure survey from 2010 to 2018. The logistic regression model and big data are used to achieve this goal. The results show that a substantial number of households face food insecurity in urban areas in Iran. Also, different geographic regions have various salient factors that affect food insecurity. Aggregation tests confirmed that researchers should estimate separate models for different provinces, states, and districts to assess and monitor the food security status of a country instead of estimating a unique model for the whole of the country. Geographical disparities should be considered as an important issue before suggesting any catch-all policies for a country. The geo-locational factor of households is a key determinant of the association between socioeconomic factors and food security in urban areas in Iran. In sum, the practical suggestions for improving Iranian households' food security in urban areas are as follows: (1) Developing job opportunities for the head of household. (2) Enhancing the potential for self-employment. (3) Facilitating the study of children within households including providing inexpensive uniforms, books, and materials, especially for poor households. (4) Supporting young couples in terms of accessing to financial resources and providing inexpensive essential equipment of home for them; and (5) Introduction of the importance of dietary diversity and different foods which can be cooked by using these food ingredients within a household. Comparative case studies using similar methodologies can test if our results are generalizable.

Food insecurity and the risk of HIV acquisition: findings from population-based surveys in six sub-Saharan African countries (2016-2017)

OBJECTIVE

To assess the potential bidirectional relationship between food insecurity and HIV infection in sub-Saharan Africa.

DESIGN

Nationally representative HIV impact assessment household-based surveys.

SETTING

Zambia, Eswatini, Lesotho, Uganda and Tanzania and Namibia.

PARTICIPANTS

112 955 survey participants aged 15-59 years with HIV and recency test results.

MEASURES

Recent HIV infection (within 6 months) classified using the HIV-1 limited antigen avidity assay, in participants with an unsuppressed viral load (>1000 copies/mL) and no detectable antiretrovirals; severe food insecurity (SFI) defined as having no food in the house ≥three times in the past month.

RESULTS

Overall, 10.3% of participants lived in households reporting SFI. SFI was most common in urban, woman-headed households, and in people with chronic HIV infection. Among women, SFI was associated with a twofold increase in risk of recent HIV infection (adjusted relative risk (aRR) 2.08, 95% CI 1.09 to 3.97). SFI was also associated with transactional sex (aRR 1.28, 95% CI 1.17 to 1.41), a history of forced sex (aRR 1.36, 95% CI 1.11 to 1.66) and condom-less sex with a partner of unknown or positive HIV status (aRR 1.08, 95% CI 1.02 to 1.14) in all women, and intergenerational sex (partner ≥10 years older) in women aged 15-24 years (aRR 1.23, 95% CI 1.03 to 1.46). Recent receipt of food support was protective against HIV acquisition (aRR 0.36, 95% CI 0.14 to 0.88).

CONCLUSION

SFI increased risk for HIV acquisition in women by twofold. Heightened food insecurity during climactic extremes could imperil HIV epidemic control, and food support to women with SFI during these events could reduce HIV transmission.

Development and Validation of a Direct Food Insecurity Measurement Instrument: A Study Protocol (Preprint).. [DOI: 10.2196/preprints.40945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

BACKGROUND

The Sustainable Development Goals (SDGs) aim to achieve sustainable food security with a focus on eradicating hunger and poverty. Although some progress has been made, conflicts and food insecurity issues are still inevitable worldwide. In Malaysia, food insecurity is still evident in 2021 as food-insecure groups were present in the surveyed population. The problem leads to negative impacts on the health and development of individuals. To tackle this problem, an appropriate measurement tool is needed to assess the experience of food insecurity among Malaysians. A valid, reliable and culturally specific food insecurity measurement tool is needed for further planning and implementation.

OBJECTIVE

Our objective is to develop a direct food insecurity measurement instrument that will assist practitioners in assessing food security status in communities.

METHODS

This paper describes a mixed-methods sequential study to develop and validate a direct food insecurity measurement tool that is culturally specific for use in Malaysia. It begins with a qualitative study to understand the experience of food insecurity among food bank beneficiaries through interpretive phenomenological analysis (IPA). Validation procedures will then be conducted to validate the instrument under study, assessing content validity, construct validity and reliability. Finally, a pilot study will be conducted to evaluate the instrument in order to increase the credibility of this measurement tool in directly assessing the experience of food insecurity.

RESULTS

In-depth interviews for qualitative data will be carried out after ethics approval and expected to be completed by 2022 November 30. For validation procedures, it is estimated to be completed by 2023 June 31.

CONCLUSIONS

This study will enable the development and validation of a direct food insecurity measurement tool to be used nationwide in Malaysia, and will go part of the way in assessing the relationship between the determinants and consequences of food insecurity status.

Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study

Agricultural intensification and expanding protected areas are proposed sustainable development approaches. But, their consequences for mental health are poorly understood. This study aims to predict how forest conservation and contract farming may alter resource access and depression risk in rural Uganda. Residents (N = 695) in 11 communities in Masindi District were asked about their expectations under land management scenarios using scenario-based interviews, household characteristics and depression symptoms. Over 80% of respondents presented with a ‘business-as-usual forest access’ scenario expected reduced access to forest income and food over the next decade; this number climbed above 90% among ‘restricted forest access’ scenario respondents. Over 99% of those presented with two land access scenarios (‘business-as-usual land access’ and ‘sugarcane expansion land access’) expected wealthy households to gain land but poorer families to lose it, threatening to increase poverty and food insecurity among small-scale farmers. Bayesian structural equation modelling suggested that depression severity was positively associated with food insecurity (0.20, 95% CI = 0.12–0.28) and economic poverty (0.11, 95% CI 0.02–0.19). Decision-makers should evaluate the mental health impacts of conservation and agricultural approaches that restrict access to livelihood resources. Future research could explore opportunities to support mental health through sustainable use of nature.

Investigating food insecurity, health and environment-related factors, and agricultural commercialization in Southwestern Nigeria: evidence from smallholder farming households

Hunger and food insecurity remained some of the serious challenges facing our world in present time with great concerns from Sub-Saharan Africa especially countries like Nigeria. This study investigates food insecurity (FI), health and environment-related factors, and agricultural commercialization among smallholder farm households. This study was conducted in Southwestern Nigeria utilizing cross-sectional survey data from 352 farm households and employed multi-stage sampling procedure. The household FI levels was determined using food insecurity access scale (HFIAS), crop commercialization index (CCI) was used to compute each household's CCI (four levels), while ordered logit model was used to analyse factors influencing FI. Health and environment-related factors' access were assessed across each FI category. The results indicated that about 13% of cassava farm households are non-participant in the marketing of their produce. The findings revealed that less than 20%, 30%. and 40% of households in all four FI categories had access to piped water, improved toilet facilities, and electricity respectively. The ordered logit regression analysis indicated that age, gender, education level, farm experience, nonfarm income, and ownership of motorcycle significantly influencing FI in the study areas. Therefore, this study stressed the implementation of policy actions capable of promoting rural infrastructure development that will lead to increased agricultural production, marketing, and improved quality of life of rural dwellers.

Agricultural big data and methods and models for food security analysis-a mini-review

Background

Big data and data analysis methods and models are important tools in food security (FS) studies for gap analysis and preparation of appropriate analytical frameworks. These innovations necessitate the development of novel methods for collecting, storing, processing, and extracting data.

Methodology

The primary goal of this study was to conduct a critical review of agricultural big data and methods and models used for FS studies published in peer-reviewed journals since 2010. Approximately 130 articles were selected for full content review after the pre-screening process.

Results

There are different sources of data collection, including but not limited to online databases, the internet, omics, Internet of Things, social media, survey rounds, remote sensing, and the Food and Agriculture Organization Corporate Statistical Database. The collected data require analysis (i.e., mining, neural networks, Bayesian networks, and other ML algorithms) before data visualization using Python, R, Circos, Gephi, Tableau, or Cytoscape. Approximately 122 models, all of which were used in FS studies worldwide, were selected from 130 articles. However, most of these models addressed only one or two dimensions of FS (i.e., availability and access) and ignored the other dimensions (i.e., stability and utilization), creating a gap in the global context.

Conclusions

There are certain FS gaps both worldwide and in the United Arab Emirates that need to be addressed by scientists and policymakers. Following the identification of the drivers, policies, and indicators, the findings of this review could be used to develop an appropriate analytical framework for FS and nutrition.

Boon or Bane? Urban Food Security and Online Food Purchasing during the COVID-19 Epidemic in Nanjing, China

This paper examines the relationship between the rapid growth of online food purchasing and household food security during the first wave of the COVID-19 pandemic in China using the city of Nanjing as a case study. The paper presents the results of an online survey of 968 households in Nanjing in March 2020 focused on their food purchasing behavior and levels of food security during the early weeks of the pandemic. While online food purchasing has increased rapidly in many countries during the COVID-19 pandemic, little research attention has been paid to the relationship between online food purchasing and household food security. This paper provides detailed insights into this relationship in China. The medium- and longer-term food security and other consequences of the pandemic pivot to online food purchasing are a fertile area for future research in China and elsewhere.

Household Level Determinants of Food Insecurity in Rural Ethiopia

Introduction. Currently, Ethiopia, in particular, the rural areas of Ethiopia, faces high levels of food insecurity. In spite of the fact that there have been many studies on food security, most of them have been conducted in specific national settings. Hence, the determinants of food insecurity should be assessed at the national level. Therefore, this study was primarily aimed to identify the determinant factors of household food insecurity in rural Ethiopia. Method. A cross-sectional Ethiopian socioeconomic survey (ESS) data collected from September 2018 to August 2019 was utilized. A sample of 3115 households was selected from 316 clusters across rural Ethiopia using a two-stage probability sampling technique. To identify the determinants of food insecurity, logistic regression was applied. Results. Among 3,115 households, 50.05% of them were food insecure. Factors such as the household head being aged from 30 to 64 (AOR = 0.786, 95% CI: [0.635, 0.973]), widowed, divorced, or separated (AOR = 1.588, 95%CI: [1.001, 2.518]), literate (AOR = 0.702, 95%CI: [0.590, 0.834]), household aid (AOR = 1.339, 95%CI: [1.089, 1.648]), drought-affected (AOR = 0.640, 95%CI: [0.507, 0.808]), nonagricultural business (AOR = 0.655, 95%CI: [0.472, 0.908]), dependency ratio from 50 to 75% (AOR = 0.680, 95%CI: [0.534, 0.867]), having 6 to 10 livestock (AOR = 0.644, 95%CI: [0.496, 0.836]), and more than 10 livestock (AOR = 0.362, 95% CI: [0.284, 0.461]) were found to be significantly associated with the household’s food insecurity at 5% level of significance. Conclusion. The household head’s age from 30 to 64, being literate, drought-affected, having nonagricultural business, dependency ratio from 50 to 75%, and owning more than 10 livestock have been negatively affecting food insecurity. While supporting households, a “widowed, divorced, or separated” household head has had a positive effect on food insecurity in rural Ethiopia positively influencing food insecurity in rural Ethiopia. Policymakers need to pay special attention to very young and old-aged household heads, adult education, household self-help, livestock improvement, and entrepreneurship while implementing poverty reduction programs.

Government transfers, COVID-19 shock, and food insecurity: Evidence from rural households in India

The coronavirus disease 2019 (COVID-19) pandemic has decimated the lives and livelihoods of people worldwide. The impact of COVID-19 has been especially devastating for low-income families in rural areas of India. Soon after the nationwide lockdown was announced, food insecurity became pervasive in rural areas, as many families relied on daily wage work to fund necessities. By providing cash transfers and additional foodgrains, Indian policymakers acted swiftly to reduce the financial impact on family income and consumption. This paper investigates the factors affecting rural families' participation in the cash transfer program and the effect of government cash transfers on food insecurity. Results indicate that India's government cash transfer program decreased moderate food insecurity by 2.4% and severe food insecurity by about 0.92% [EconLit Citations: O12, I31, I32, I38].

The Household Food Security Implications of Disrupted Access to Basic Services in Five Cities in the Global South

COVID-19 has caused significant disruptions regarding the extent to which households can access basic services and resources in cities around the world. Previous studies have indicated a predictive relationship between the consistency of resource access and food access among urban households. These investigations, however, have predominantly been isolated to Southern Africa and have not accounted for other dimensions of food security. To test whether these results are observable outside Southern Africa, and with a more multidimensional measure of food security, this investigation proposes a method for building an index of urban household food access, utilization and stability. The scores for the constructed index are then compared across household survey samples collected from five cities in the Global South. The investigation then assesses the predictive relationship between the consistency of household resource access and this more multidimensional index of food insecurity. While the general trend of inconsistent resource access predicting food insecurity is confirmed, there are geographic differences in the strength and quality of this relationship. These findings suggest that the resource access disruptions inflicted by COVID-19 will likely have a heterogeneous impact on urban food security dependent upon the affected resource and the city in which a given household resides.

Unhealthy Dieting During the COVID-19 Pandemic: An Opinion Regarding the Harmful Effects on Brain Health

Since 2020, the world has been suffering from a pandemic that has affected thousands of people regardless of socio-economic conditions, forcing the population to adopt different strategies to prevent and control the advance of the disease, one of which is social distancing. Even though social distancing is a safe strategy to reduce the spread of COVID-19, it is also the cause of a rising sedentary behavior. This behavior develops an excess of fat tissue that leads to metabolic and inflammatory disruption related to chronic diseases and mental health disorders, such as anxiety, depression, and sleep issues. Furthermore, the adoption of dietary patterns involving the consumption of ultra-processed foods, higher in fats and sugars, and the reduction of fresh and healthy foods may play a role in the progress of the disease. In this perspective, we will discuss how an unhealthy diet can affect brain function and, consequently, be a risk factor for mental health diseases.

Examining Geographic Food Access, Food Insecurity, and Urbanicity among Diverse, Low-Income Participants in Austin, Texas

The purpose of this study was to explore the association between geographic food access and food insecurity and the potential role of race/ethnicity, income, and urbanicity among a low-income, diverse sample in Central Texas. Utilizing a cross-sectional study design, secondary data analysis of an existing cohort was used to examine the association between food insecurity; geographic food access; and sociodemographic factors of race/ethnicity, income, urbanicity, and additional covariates using binomial logistic regression models. The existing cohort was recruited from lower-income communities in Travis County, Texas. The sample (N = 393) was predominantly Hispanic, lived in urban areas, and nearly 40% were food insecure. Geographic food access was not found to be significantly associated with food insecurity. However, rural residents had greater odds of being food insecure than urban residents. Also, participants who earned USD 45,000-64,999 and over USD 65,000 had lower odds of being food insecure than participants who earned under USD 25,000. These findings add to the inconsistent literature about the association between geographic food access and food insecurity and contribute to urbanicity and income disparities in food-insecurity literature. Future work should consider urbanicity, income, and utilize community-specific data to gain greater understanding of the association between geographic food access and food insecurity.

The Evolution of Food Security: Where Are We Now, Where Should We Go Next?

Food security is one of the most challenging topics globally; however, the concept of food security has taken on additional dimensions that are general and are less detailed. This study aims to identify the intellectual structure of food security research and the changes in this structure. This paper analyzed 3169 documents from the Web of Science database through a bibliometric review. A review of the published documents shows an increasing trend over the past 46 years. In accordance with co-occurrence analysis, 125 keywords were grouped into five clusters: food security and sustainable development; food security and socioeconomic factors; food security policy and governance; coping strategies for poverty, inequality, and hunger; and modern food security management. This study identifies four streams within food security research: sustainability and environmental, socioeconomic, cultural, and political factors. The paper concludes that even though food security might investigate many significant areas, other new dimensions should still be considered. Further gaps in the literature emerge that present avenues for future research directions. Reviewing indicators and techniques of food security assessment and identifying high-risk groups should be a priority.

Household food insecurity, maternal nutrition, environmental risks and infants' health outcomes: protocol of the IMPALA birth cohort study in Uganda

INTRODUCTION

In low- and middle-income countries (LMICs), food insecurity and undernutrition disproportionately affect women of reproductive age, infants and young children. The disease burden from undernutrition in these vulnerable sections of societies remains a major concern in LMICs. Biomass fuel use for cooking is also common in LMICs. Empirical evidence from high-income countries indicates that early life nutritional and environmental exposures and their effect on infant lung function are important; however, data from sub-Saharan Africa are scarce.

AIM

To estimate the association between infant lung function and household food insecurity, energy poverty and maternal dietary diversity.

METHODS AND ANALYSIS

Pregnant women will be recruited in an existing Health and Demographic Surveillance Site in South-West Uganda. Household food insecurity, sources and uses of energy, economic measures and maternal dietary diversity will be collected during pregnancy and after birth. Primary health outcomes will be infant lung function determined by tidal breath flow and volume analysis at 6-10 weeks of age. Infant weight and length will also be collected.A household Food Consumption Score and Minimum Dietary Diversity for Women (MDD-W) indicator will be constructed. The involved cost of dietary diversity will be estimated based on MDD-W. The association between household level and mothers' food access indicators and infant lung function will be evaluated using regression models. The Multidimensional Energy Poverty Index (MEPI) will be estimated and used as an indicator of households' environmental exposures. The association between household MEPI and infant lung function will be assessed using econometric models.

ETHICS AND DISSEMINATION

Ethical approvals have been obtained from Liverpool School of Tropical Medicine (18-059), the Uganda Virus Research Institute Ethics Committee (097/2018) and Uganda National Council for Science and Technology (SS 4846). Study results will be shared with participants, policy-makers, other stakeholders and published in peer-reviewed journals.

Environmental Regulation, Rural Residents' Health Investment, and Agricultural Eco-Efficiency: An Empirical Analysis Based on 31 Chinese Provinces

This paper explores the effects of environmental regulation (ER) and rural residents’ health investment (RRHI) on agricultural eco-efficiency (AEE) to provide a reference for the Chinese Government and other developing countries for implementing environmental regulation policies and to provide new paths to further improve green development in agriculture. Using the panel data of 31 Chinese provinces from 2009–2018, the Super-SBM model was used to measure AEE. The role of ER on AEE was analyzed based on panel two-way fixed effects with endogeneity treatment and a robustness test, and this mediating effect analysis was conducted to analyze the role of RRHI in ER and AEE, examining the extent of the effect of ER on AEE in three regions of China—eastern, central and western—using a heterogeneity analysis. The results of the study show that: (1) from a national perspective, ER has a significant positive impact on AEE, showing that ER is effective at this stage; (2) when RRHI is used as a mediating variable, the rising ER’s intensity can promote AEE by increasing RRHI; and (3) the results of the heterogeneity analysis show that ER has the greatest impact on AEE in the economically developed eastern region; the western region with a weaker level of economic development is in second place. However, ER has a negative impact on AEE in the central region with a medium level of economic development. Thus, the impact of ER on AEE will show great differences depending on the stage of economic development.

The bad, the ugly and the monster behind the mirror - Food insecurity, mental health and socio-economic determinants

INTRODUCTION

Food insecurity is associated with poor mental health outcomes, including depression and anxiety and COVID-19 could increase these relations. In this sense, we aimed to explore the relationship between food insecurity and mental health features and behaviors in adults from Portugal.

METHODOLOGY

We conducted a cross-sectional online snowball study from November 2020 until February 2021. A total of 882 Portuguese residents 18 years of age or older with food security data were included. Data on socio-demographics, food security status, and anxiety and depression symptoms were collected. Crude and adjusted logistic regression models were performed. Odds ratio (OR) and respective 95% confidence intervals (CI) were estimated.

RESULTS

Most participants were women (71.3%), with a mean (SD) age of 36.8 (10.9) years, three-thirds had a university degree (76.7%), and 65.3% lived in the country's northern region. Regarding the characteristics associated with food insecurity, we observed that less-educated participants (OR = 7.84; 95% CI: 3.67-16.73), with depression symptoms (OR = 5.91; 95% CI: 3.12-11.19) and with anxiety symptoms (OR = 6.41; 95% CI: 3.02-13.59), had a higher odds of belonging to a food-insecure household. After adjustments less educated individuals (OR = 8.37; 95% CI: 3.81-18.35), those who faced a reduction in income (OR = 0.27; 95% CI: 0.13-0.53) and, presenting anxiety symptoms (OR = 7.32; 95% CI: 3.53-15.17) had a higher odds of belonging to a food-insecure household.

CONCLUSIONS

Approaching food insecurity without addressing mental health, and the opposite is making partial and reductive interventions. It is important to have an integrative approach.

Food consumption in the Canary Islands: nutritional implications of food imports and local production

Background

The composition of the average diet for the Canary Islands’ population has been the subject of concern for the region’s authorities and nutrition specialists. In this study, the composition of the average diet in the Canary Islands is estimated.

Method

The approach is based on secondary data on local production and external trade. The breakdown of the total volume of apparent food consumption into specific product categories marketed to the consumers is achieved by applying hypotheses about losses in the distribution process. The estimation of food intake is obtained by making assumptions about the rates of food wastage in the final stage of consumption. This consumption is expressed not only in terms of edible weight and the market value associated with different food groups according to their local or imported origin, but also in terms of their energy and nutrient content.

Results

The results obtained suggest a high-calorie diet, close to three thousand kilocalories per person per day, with an average cost of around eight euros per person per day. Imported products, with a lower average cost per unit of energy, provide most of the carbohydrates and fats.

Conclusion

This study provides a complementary approach to survey-based evidence and also offers the possibility of evaluating the contributions of local or imported food to the diet.

Why Home Gardens Fail in Enhancing Food Security and Dietary Diversity

Visions of sustainable cities mostly conjure up well tended home and community gardens, where owners and residents plant fruits and vegetables that supply some of their livelihood needs. Indeed, home gardens can contribute to household food security but often fail to do so. Moreover, gardens can provide several additional ecosystem services and impact entire communities. This paper seeks to answer why these gardens often do not provide adequate services to make a substantial contribution to food security and identifies possible solutions. We undertook a case study in South Africa in a low-income former township area. The area is characterized by poverty, high levels of unemployment and food insecurity. We interviewed 140 respondents with home gardens to determine what role their own garden plays in household food security. Only 10% of households were found to be completely food secure. Of the rest, 39% experienced hunger that affected everyone in the household and 51% were at risk of hunger. Despite the fact that 72% of the respondents planted vegetables or fruits, the gardens did not contribute substantially to food security. The respondents mostly bought their food, with subsequent food shortages when they did not have enough money. The dietary diversity and consumption of vitamin A-rich fruits and vegetables were very low. The most important constraints inhibiting urban agriculture in the study area were cultural practices, such as the presence of large, bare, open spaces, or “lebala,” the focus of home gardeners on ornamental species and lawns; and a reliance on purchasing of foods.

Understanding the drivers of food security among agriculture-based households in Gurué District, Central Mozambique

Background

The prevalence of food insecurity in Mozambique is alarming, despite progress made during the 2010s. Several studies apply different proxy indicators of food security (FS) to assess the FS situation. However, these studies overlook the factors affecting FS, using only a single data point that results in an incomplete picture of FS. Food security is expected to fluctuate, being better and worse than what studies suggest. Using a sample of 296 households to assess FS, key drivers conditioning households’ capacity to achieve FS in Gurué District, Central Mozambique, are identified. Data were collected in the pre-harvest period and during the harvest period to capture relevant interseasonal variation of FS. Household FS is assessed using three standard indicators: Household Dietary Diversity Score (HDDS), Household Food Consumption Score (HFCS), and Months of Adequate Household Food Provisioning (MAHFP).

Results

Each household was classified into a specific FS status depending on the indicator applied. Generally, most households were classified as being severely or moderately food insecure during the pre-harvest season, while during the harvest season, medium and high levels of FS predominated. Nevertheless, varying outcomes were found depending on the indicator used to assess FS. MAHFP and HDDS are more related to the consumption of farm-sourced food, while HFCS responds more strongly to purchased food. Gender and age of the household head, geographic location, size and quality of land, staples production (especially cassava), livestock and crop diversity, as well as cash crops had a statistically significant effect on FS indicators.

Conclusions

The study concludes that the decision whether farmers should rely on staple foods production for increasing their FS status or specialize on cash crops production to generate income and buy food depends on the indicator used to assess FS, since each indicator captures a specific domain of food security. Thus, one central recommendation derived from our results is that policy makers should promote a balance between market-oriented agriculture and subsistence production to achieve FS.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40066-021-00344-3.

The effects of the COVID-19 pandemic on food security in Australia: A scoping review

Aim

The COVID‐19 pandemic has disrupted the Australian food supply with potential ramifications on food security. This scoping review aimed to synthesise current evidence on the prevalence of food insecurity and changes to factors related to food insecurity during the COVID‐19 pandemic in Australia.

Methods

A comprehensive search strategy was used to search seven databases (MEDLINE, CINAHL, Embase, Global Health, Cochrane Database of Systematic Reviews, PsycINFO, Informit Online) and Google Scholar. Included studies were written in English, published in 2020–2021 and examined food security status in Australia during the COVID‐19 pandemic and/or factors associated with food insecurity in free‐living Australian residents. Articles with participants residing in institutional settings, where meals were supplied, were excluded.

Results

A total of 700 records were identified from database, grey literature and hand searching, and nine articles were included. All studies indicated that the prevalence of food insecurity had increased due to negative changes to food availability, accessibility, usability and stability. The downturn in employment and economic circumstances following the onset of the COVID‐19 pandemic appeared to create a new group of food‐insecure Australians consisting of newly unemployed, and international students.

Conclusion

COVID‐19 has exacerbated vulnerabilities in the Australian food supply and food security. Suggested actions include ongoing data collection on the long‐term impact of COVID‐19 on food supply and security in addition to coordinated national and community responses that improve the stability of the local food supply and address underlying determinants of food insecurity.

Experiences and Lessons from Agri-Food System Transformation for Sustainable Food Security: A Review of China's Practices

Food system transformation has been a widely discussed topic in international society over time. For the last few decades, China has made remarkable achievements in food production and has contributed greatly to the reduction in global hunger and poverty. Examining experiences and lessons from China's food security practices over the years is helpful to promote a national food system transformation for China, as well as other developing countries. This study systematically reviews the literature on Chinese food security studies, with the aim of assessing China's food security achievements and examining the remaining and emerging issues in the pursuit of food system transformation. The results show that China has continuously promoted food system transformation in land consolidation, agri-food production technologies, management and organization modes, food reserves, trade governance, and food consumption. These transformations ensure not only food availability, timeliness, and nutrition, but also in terms of the ecological, social, and economic sustainability, feasibility, and justice of food security. However, China is also confronting new challenges in food security, for example, malnutrition, environmental unsustainability, and reductions in diversified agri-food. In the future, China is expected to be committed to promoting healthy diets, sustainable agricultural production, climate change mitigation, and the reduction of food waste and loss to enhance its agri-food system's resilience.

Food Insecurity in the Food Allergic Population: A Work Group Report of the AAAAI Adverse Reactions to Foods Committee

Food allergies affect 32 million Americans. Restricted diets due to food allergies can be difficult to maintain especially when the household is food insecure. Food insecurity is defined as the inability to acquire food for household members due to insufficient money or resources for food. The COVID-19 pandemic has caused many people to face food insecurity for the first time with Latinx, Native American, and Black communities disproportionately affected. Because of the increase in food insecurity, this work group developed a survey regarding food insecurity screening. This survey was sent out to a random sample of American Academy of Allergy Asthma & Immunology members to assess food insecurity knowledge and practices. The majority of survey participants did not routinely screen their patients for food insecurity. The biggest barrier identified to screening was lack of knowledge of how to perform a screen and resources available when a patient screened positive. This work group report provides guidance on how to implement and perform a food insecurity screen, including federal resources and assistance programs.

Food insecurity on a college campus: Prevalence, determinants, and solutions

Objective: Students are at risk of food insecurity. We aimed to determine: the prevalence of food insecurity among students; the variables associated with student food insecurity; and appropriate solutions. Participants: We collected data from 339 students at a large state university in the western United States between December 2016 and February 2017. Methods: We used an anonymous online survey that incorporated the USDA US Six-Item Short Food Security Survey. Results: First, 54% of respondents had been food insecure within the last year. Second, students in receipt of financial aid were significantly more likely to be food insecure. Third, respondents proposed solutions to student food insecurity that included on-campus food assistance programs, education initiatives, and off-campus food assistance programs. Conclusions: Our paper contributes to a growing body of knowledge about the extent and causes of, and solutions to, food insecurity among college students.

How and why are Theory of Change and Realist Evaluation used in food security contexts? A scoping review

The complex ways in which food security actions lead to nutrition and other health outcomes make it important to clarify what programs work and how, with theory-driven evaluation emerging as a promising approach to evaluate complex programs. However, it is unclear how and why theory-driven evaluation is applied in food security contexts. Our objective is to examine the development and use of Theory of Change and Realist Evaluation to support food security programs globally. Using a systematic search and screening process, we included studies that described a food security program, used a Theory of Change or Realist Evaluation, and presented original research or evaluations. We found a total of 59 relevant Theory of Change studies and eight Realist Evaluation studies. Based on our analysis, Theories of Change arose in response to three main problems: 1) the need to evaluate under complexity; 2) challenges with evaluation; and, 3) information gaps surrounding a program. In contrast, Realist Evaluation was reported to be developed primarily to understand a program's outcomes. Reflecting on the problem to be addressed in the evaluation would help improve understandings of the evaluation context, which would then inform the choice and design of an evaluation approach.

Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

BACKGROUND

The diets of millions of poor individuals lack adequate amount of essential nutrients.

OBJECTIVE

To examine the determinants of household dietary diversity in Burkina Faso and assess whether the choice of a diversity metric matters.

METHODS

Using survey data from 2014, we construct 3 metrics-Household Dietary Diversity Score (HDDS), Berry Index (BI), and Healthy Food Diversity Index (HFDI). Unlike the oft-used HDDS, the BI captures the quantity distribution of food items while the HFDI captures all 3 aspects of a healthy diet-count, quantity distribution, and health value. We fit linear (for BI and HFDI) and Poisson (for HDDS) models controlling for several socioeconomic and climatic covariates.

RESULTS

Some parameter estimates are sensitive to the diversity metric with fewer significant covariates observed in the HFDI model. Overall, diets are more diverse for households in urban areas, with female or better educated heads, with higher asset-based wealth and with more diverse on-farm production, while remoteness reduces dietary diversity. Higher precipitation seems to reduce diversity, potentially driven by the spatial heterogeneity in precipitation and on-farm production diversity.

CONCLUSIONS

The sensitivity of estimates to the metric used underscores potentially more complex interactions that determine the quantity distribution of food items consumed. Policies that enhance on-farm production diversity, market access, and women's empowerment may help improve dietary diversity and subsequent nutritional benefits. Efforts should be made to compile health value data that are relevant to developing countries facing nutrition transition.

Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach

Hunger and food insecurity take center stage in most debates in Africa, and in recent times with serious concerns about Nigeria. This study assessed food insecurity among farming households in rural Oyo State, Nigeria, using cross-sectional datasets from 211 farming households through a multi-stage sampling procedure. The Household Food Insecurity Access Scale (HFIAS) module was employed in assessing food insecurity status of farming households, and the ordered logit model (OLM) was used to analyze factors influencing food insecurity among farming households. The results revealed that 12.8% of the farming households were food secure while 87.2% had varying levels of food insecurity. The OLM results indicated that age, household head’s years of schooling, gender, farm size, farm experience, non-farm income, food expenditure, and access to extension service significantly influenced food insecurity among farming households. Based on the findings, efforts should be geared towards promoting households’ education-related intervention programs in order to improve their nutrition-related knowledge that can enhance their food security status. Additionally, there should be provision of rural infrastructural facilities such as piped water, rural electrification, and healthcare service that promote healthy living and enhance households’ agricultural productivity.

Food Insecurity, Nutritional Inequality, and Maternal–Child Health: A Role for Biocultural Scholarship in Filling Knowledge Gaps

Food insecurity, a significant contributor to nutritional inequality, disproportionately affects women and children in low- and middle-income countries. The magnitude of the problem has inspired research on its impacts on health, especially on nutritional status and, more recently, mental well-being. Current research is dominated by surveillance-type studies that emphasize access, one of food security's four dimensions. Findings are inconclusive regarding the association between food insecurity and women and children's nutritional status, but some evidence indicates that it is a key contributor to mental distress in women. To understand these inconsistent findings, we emphasize the need for research on the strategies that people use to cope with inadequate access to food. We contend that biocultural approaches that recognize the importance of local contexts and the role of broader political-economic factors in shaping them are well suited for addressing current knowledge gaps.

Prevalence and Factors Associated with Food Insecurity among Older Adults in Sub-Saharan Africa: A Systematic Review

Food insecurity has been undermining the health and well-being of a growing number of older adults in Sub-Saharan Africa. This review aimed to examine the prevalence of food insecurity and the related contributing factors of food insecurity among older adults in Sub-Saharan Africa. We used PubMed, Scopus, ScienceDirect, and Web of Science Core Collection as our search engines and included 22 articles for data extraction. Prevalence of severe and moderate food insecurity in households with older adults ranged from 6.0 to 87.3% and from 8.3 to 48.5%, respectively. Various socio-economic (e.g., low education level, being widowed, low income, lower wealth position of households, living in a rental house, living in rural areas, lack of social grants or pensions), demographic (e.g., female, Black racial group, larger family size), and health and nutrition status-related (e.g., self-reported poor health status, having a functional and mobility-related disability, psychological disorders) factors influence food insecurity in older adults in Sub-Saharan Africa. The findings of this review can help stakeholders to prioritize the issue of food insecurity, design and implement policies and programs to improve food security among older adults in Sub-Saharan Africa.

Design Factors for Food Supplementation and Nutrition Education Interventions That Limit Conclusions about Effectiveness for Wasting Prevention: A Scoping Review of Peer-Reviewed Literature

We conducted a scoping review to characterize the evidence base for the effectiveness of food supplementation (FS), nutrition education (NE), or FS/NE interventions to prevent wasting among children aged 6 to 59 mo. We aimed to identify gaps in peer-reviewed literature and to develop recommendations for strengthening study designs. We identified 56 unique studies (FS = 21, NE = 19, FS/NE = 16) for which we assessed intervention design factors, implementation context, evaluation methods, and wasting impact. Compared with studies focused on stunting, fewer wasting-focused studies reported weight-for-height z score (WHZ). Midupper arm circumference (MUAC) was more commonly reported in wasting-focused studies (71.4%) than those focused on stunting (36.8%) or wasting and stunting (30.4%). FS studies measured anthropometry (mean, 95% CI) more frequently at every 11.3 (7.8, 14.8) wk than NE interventions at 36.3 (8.8, 62.1) wk (P = 0.036), but not FS/NE interventions at 25.8 (5.6, 49.1) wk (P = 0.138). NE interventions tended to be of longer duration than FS or FS/NE interventions. Only 6 studies followed and measured children after the intervention period ended. Across all studies, 45% reported a significant effect on wasting; these included FS, NE, and FS/NE interventions. The lack of comparability across studies limits conclusions about the effectiveness of specific types of interventions. To build a more unified evidence base for wasting prevention we recommend that future studies 1) report on a consistent set of metrics, including MUAC; 2) attempt to measure change in wasting incidence using more frequent measures; 3) measure wasting prevalence among the general population; 4) follow children postintervention to assess relapse; 5) measure food insecurity and diet quality; and 6) use harmonized protocols across multiple settings. Such efforts to improve study comparability will strengthen the evidence base, may help unite divergent professional communities, and ultimately accelerate progress toward eliminating child undernutrition.

Food Security in Ghanaian Urban Cities: A Scoping Review of the Literature

Urbanisation in Ghana could be negatively impacting the state of food security, especially in economically vulnerable groups. Food supply, safety, and quality are all aspects of food security which could be impacted. We conducted a scoping literature review to understand the nature and magnitude of evidence available on the urban food security situation in Ghana. A literature search was conducted in Medline, CINAHL, Embase, Global Health, Scopus, Web of Science, Africa Wide Information and Google Scholar to identify relevant peer-reviewed and grey literature. 45 studies, mainly cross-sectional surveys/food samples analysis, met the inclusion criteria. The majority of studies were concentrated in the Greater Accra Region (n = 24). Most studies focused on food safety and quality (n = 31). Studies on supply and stability were, however, scarce. Qualitative research methods were uncommon in the included studies. The existing literature on food security are concentrated in two regions: The Greater Accra and Ashanti regions. Future studies exploring food security in urban Ghana should focus on exploring the lived experiences and perceptions of food insecurity and food stability by urban-dwellers using qualitative methods. The evidence suggesting that the safety/quality of foods sold in Ghanaian markets is poor should be a concern to consumers and policy makers.

A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study

Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018-2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies.

Forecasting transitions in the state of food security with machine learning using transferable features

Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential to be able to trigger early actions, for example, by humanitarian actors. To measure the actual state of food insecurity, expert and consensus-based approaches and surveys are currently used. Both require substantial manpower, time, and budget. This paper introduces an extreme gradient-boosting machine learning model to forecast monthly transitions in the state of food security in Ethiopia, at a spatial granularity of livelihood zones, and for lead times of one to 12 months, using open-source data. The transition in the state of food security, hereafter referred to as predictand, is represented by the Integrated Food Security Phase Classification Data. From 19 categories of datasets, 130 variables were derived and used as predictors of the transition in the state of food security. The predictors represent changes in climate and land, market, conflict, infrastructure, demographics and livelihood zone characteristics. The most relevant predictors are found to be food security history and surface soil moisture. Overall, the model performs best for forecasting Deteriorations and Improvements in the state of food security compared to the baselines. The proposed method performs (F1 macro score) at least twice as well as the best baseline (a dummy classifier) for a Deterioration. The model performs better when forecasting long-term (7 months; F1 macro average = 0.61) compared to short-term (3 months; F1 macro average = 0.51). Combining machine learning, Integrated Phase Classification (IPC) ratings from monitoring systems, and open data can add value to existing consensus-based forecasting approaches as this combination provides longer lead times and more regular updates. Our approach can also be transferred to other countries as most of the data on the predictors are openly available from global data repositories.

Associations of household food insufficiency with childhood depression and anxiety: a nationwide cross-sectional study in the USA

OBJECTIVE

Household food insufficiency (HFIS) is a major public health threat to children. Children may be particularly vulnerable to HFIS as a psychological stressor due to their rapid growth and accelerated behavioural and cognitive states, whereas data focusing on HFIS and childhood mental disorders are as-yet sparse. We aimed to examine the associations of HFIS with depression and anxiety in US children.

DESIGN

Cross-sectional study.

SETTING

The 2016-2018 National Survey of Children's Health, a nationally-representative study.

PARTICIPANTS

Primary caregivers of 102 341 children in the USA.

PRIMARY AND SECONDARY OUTCOME MEASURES

Physician diagnosed depression and anxiety were assessed by questionnaires administered to primary caregivers of 102 341 children. Multivariable logistic regression models estimated adjusted OR (aOR) for current depression or anxiety associated with HFIS measured through a validated single-item instrument.

RESULTS

Among children aged 3-17 years, 3.2% and 7.4% had parent-reported physician-diagnosed current depression and anxiety, respectively. Compared with children without HFIS, children with HFIS had approximately twofold higher weighted prevalence of anxiety or depression. After adjusting for covariates, children with versus without HFIS had a 1.53-fold (95% CI 1.15 to 2.03) and 1.48-fold (95% CI 1.20 to 1.82) increased odds of current depression and anxiety, respectively. Associations were slightly more pronounced among girls (aOR (95% CI): depression 1.69 (1.16 to 2.48); anxiety 1.78 (1.33 to 2.38)) than boys (1.42 (0.98 to 2.08); 1.32 (1.00 to 1.73); both P-for-interaction <0.01). The associations did not vary by children's age or race/ethnicity.

CONCLUSIONS

HFIS was independently associated with depression and anxiety among US children. Girls presented slightly greater vulnerability to HFIS in terms of impaired mental health. Children identified as food-insufficient may warrant mental health assessment and possible intervention. Assessment of HFIS among children with impaired mental health is also warranted. Our findings also highlight the importance of promptly addressing HFIS with referral to appropriate resources and inform its potential to alleviate childhood mental health issues.

Food Insecurity in US Military Veterans

BACKGROUND

Food insecurity (FI) is an important public health issue for US veterans. For many veterans, civilian life is fraught with service-incurred health issues and socioeconomic challenges, each risk factors for FI. The FI literature on veterans is limited due to insufficient coverage of the topic's complexity and the methods used to study it in this population. No published analysis has evaluated how FI has been examined in US veterans.

OBJECTIVES

We assessed how FI has been examined in US military veterans by identifying (1) the major content areas, or domains, studied in association with FI and (2) the existing research gaps.

METHODS

A scoping literature review was conducted to map the main research domains of the FI literature and identify knowledge gaps. Electronic database and hand searches identified potentially relevant studies (n = 61). Data extraction, utilizing a standardized set of design parameters, was completed. Duplicate removal and application of inclusion/exclusion criteria resulted in the studies (n = 21) selected for critical review.

RESULTS

Eight research domains were determined: FI prevalence, health status, dietary practices, health care utilization, economic instability, homelessness/housing instability, food program participation, and community/emergency preparedness-the most dominant was health status and the least dominant were social determinants (ie, homelessness/housing instability, food program participation). Research on validity and usability of FI assessment methods in veterans was virtually absent. Military service factors, longitudinal effects, FI among women, intervention effectiveness, and other areas lacked sufficient inquiry.

CONCLUSION

Research is required on lesser examined content areas and methodology to optimize surveillance and policy for veteran FI.

Maternal health status and household food security on determining childhood anemia in Bangladesh -a nationwide cross-sectional study

Background

The aim of this study was to examine the effect of household food security on childhood anemia in Bangladesh while controlling for socioeconomic and demographic factors.

Methods

We used nationally representative Bangladesh Demographic Health Survey (BDHS) 2011 data for this study, the only existing survey including anemia information and household food security. The sample included 2171 children aged 6–59 months and their mothers. Differences between socioeconomic and demographic variables were analyzed using Chi-square test. Univariate and multivariate logistic regression analyses were performed to estimate the effects of different socioeconomic and demographic factors on childhood anemia. We also performed mediation analysis to examine the direct and indirect effect of household food security on childhood anemia.

Results

In Bangladesh, 53% male (95% CI: 50–56) and 51% female (95% CI: 47–54) children aged 6–59 months were anemic in 2011. The food insecure households have 1.20 times odds (95% CI: 0.97–1.48) of having anemic children comparing to food secure households in the unadjusted model. On the other hand, anemic mothers have 2 times odds (95% CI: 1.67–2.44) of having anemic children comparing to non-anemic mothers. However, household food security is no longer significantly associated with childhood anemia in the adjusted model while mothers’ anemia remained a significant factor (OR 1.87: 95% CI: 1.53–2.29). Age of children is the highest associated factor, and the odds are 4.89 (95% CI: 3.21–7.45) for 6–12 months old children comparing to 49–59 months in the adjusted model. Stunting and household wealth are also a significant factor for childhood anemia. Although food security has no significant direct effect on childhood anemia, maternal anemia and childhood stunting mediated that relationship.

Conclusions

Future public health policies need to focus on improving mothers’ health with focusing on household food security to eliminate childhood anemia.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11581-3.

Scaling up measurement to confront food insecurity in the USA

It is necessary to scale up measurement in order to confront the persisting problem of food insecurity in the United States (USA). The causes and consequences around food insecurity are briefly described in order to frame the complexity of the public health issue and demonstrate need for expanded measurement approaches. We assert that measurement of food security in the USA is currently based upon a core set of rigorous metrics and, moving forward, should also constitute a supplemental registry of measures to monitor and address variables that are associated with increased risk for food insecurity. Next, we depict dietary quality as a primary example of the power of measurement to make significant progress in our understanding and management of food insecurity. Finally, we discuss the translational implications in behavioral medicine required to make progress on achieving food security for all in the USA.