Moderate Food Insecurity Research Articles

Effect of COVID-19 pandemic on household food insecurity: evidence from the United Arab Emirates

PurposeThe objective of this study was to measure the prevalence and severity of food insecurity in the United Arab Emirates (UAE) during May 2021 to June 2022, and to assess the impact of the COVID-19 pandemic on household food insecurity.Design/methodology/approachThis study measured the prevalence of household food insecurity in UAE during May 2021 to June 2022 by employing FAO’s Food Insecurity Experience Scale (FIES). The impact of the COVID-19 pandemic on household food security was evaluated by employing a truncated regression model, using survey data from 504 respondents.FindingsAbout 34% of the households were found to be food secure. About 22% of them experienced moderate or severe food insecurity (i.e. have eaten less than they thought should have) whereas almost none have experienced severe food insecurity during the sample period. The truncated model results show that households’ region of residence, livelihood source, education level, income and number of elderlies have a significant association with the probability of experiencing food insecurity. The pandemic-induced unemployment and disruptions in physical access to food positively associated with the probability of experiencing food insecurity.Social implicationsIt is critical to regularly monitor households’ food security status, and design strategies that explicitly consider the food security status of UAE’s significant expat population; most of whom are migrant manual labourers earning low wages, are less job-secured and have poorer access to health care.Originality/valueAlthough several studies assessed the impact of the pandemic on food security in different countries, there is a lack of studies assessing the impact of the pandemic on food security in the import-dependent Gulf Cooperation Council (GCC) countries, whose food security might be severely impacted due to the COVID-19-induced global food supply chain disruptions. Our application of the truncated regression model also contributes to the food security literature.

Food insecurity among food banks users during the COVID-19 pandemic in Germany – what have we learnt and what should we do?

Abstract Background Before the start of the COVID-19 pandemic in 2019, up to 1.65 million people visited a total of 956 food banks called “Tafel” in Germany. The start of the pandemic and the associated first lockdown led to shortages in commercial food outlets and to considerable restrictions on the range of food banks. The aim of the study “Food INsecurity Among TAfel users” (FINATA) was to investigate the prevalence of food insecurity (FI) and its association with social support and food shopping behaviours among Tafel users during the pandemic. Methods A written and/or oral survey was conducted in 2020 and 2021 among a total of 985 Tafel users. In addition to descriptive analyses, regression analyses, stratified for 2020 and 2021, were conducted to investigate associations between FI and the other variables. Results Participants of 2020 (n = 565) and 2021 (n = 420) differed in several socio-demographic characteristics. Whereas the prevalence of moderate FI over the 30 days prior to the survey differed between participants of 2020 (21,6 %) and 2021 (6,6 %), the prevalence of severe FI was almost identical (3,9 % vs. 4,0 %). Variables being significantly (p < 0,05) associated with moderate/severe FI included being single vs. being married (2020: OR 4,89, 2021: OR 2,69), receiving at least half of food in the household from the Tafel (2020: OR 0,34), low vs. moderate/high social support (2020: OR 2,93), buying food in commercial food outlets at least once/week vs. less often (2021: OR 0,38) and time of travel to the most used commercial food outlet (2021: OR 1,04). Conclusions The social safety net during the pandemic failed to enable “all people to have (...) economic access to sufficient (...) food” in Germany. Future studies should investigate the relationship between social support, shopping behaviours and FI at the long-term. Food banks are recommended to introduce measures to improve the social situation of their clients such as cooperating with social cafés and restaurants.

Nationally representative estimates of food insecurity during COVID‐19: An investigation of the Food Insecurity Experience Scale in Australia

AbstractThe purpose of this paper was to measure the prevalence of food insecurity (FI) in Australia during the COVID‐19 pandemic using the 8‐item Food Insecurity Experience Scale (FIES). Employing the Household, Income and Labour Dynamics in Australia (HILDA) survey, Rasch models alongside a discrete method were used to investigate the severity of FI and robustness of the 8‐item FIES during 2020–2021. Our results indicate that during 2020–2021, 6.47% of Australians experienced moderate or severe FI and 2.93% experienced severe FI. Validation tests following United Nations guidelines show similar weighted and unweighted results and consistency with the discrete method. Infit and outfit metrics, alongside measures of reliability and residual correlations, were all within the expected range. We conclude that the FIES administered as part of Wave 20 of the HILDA survey was a suitable instrument for measuring the prevalence of FI at a representative population level. Although Australia has been measuring FI for 40 years, it has been characterised by measurement inconsistency, inadequacy and infrequency, resulting in insufficient data for policymaking. Reliable representative population estimates of the extent of FI in Australia provides critical intelligence for an effective policy response.

Uncovering the drivers of food insecurity in Cameroon: insights from a nationwide cross-sectional analysis

BackgroundDespite global efforts to achieve zero hunger, food insecurity remains a critical challenge in several African countries, including Cameroon. This study aims to identify sociodemographic predictors of food insecurity across Cameroon through a comprehensive, nationwide cross-sectional analysis.MethodsData for this study were drawn from the 2018 Cameroon Demographic and Health Survey (CDHS). Food insecurity levels were evaluated using the Food Insecurity Experience Scale (FIES). To estimate the probabilities of moderate and severe food insecurity among different sociodemographic groups, logistic regression models were applied, with results expressed as average marginal effects (AME).ResultsThe findings reveal that approximately 24.86% of participants experienced moderate food insecurity, while 28.96% faced severe food insecurity. Among men, the proportion experiencing severe food insecurity was 38.8%, compared to 24.3% for women. Multivariable regression analysis showed that severe food insecurity was less likely among women [AME = 0.84, 95% CI = 0.83,0.86], Muslims [AME = 0.91, 95%CI = 0.90,0.93], individuals with higher education levels (secondary education: AME = 0.93, 95%CI = 0.90,0.95; higher education: AME = 0.87, 95%CI = 0.85,0.90), those owning land (either alone or jointly) [AME = 0.92, 95%CI = 0.89,0.96], wealthiest households (moderate food insecurity: AME = 0.91, 95%CI = 0.88,0.93; severe food insecurity: AME = 0.73, 95%CI = 0.70,0.75), female-headed households [AME = 0.97, 95%CI = 0.96,0.99], and rural residents [AME = 0.97, 95%CI = 0.95,0.98].ConclusionsThese findings underscore that food insecurity affects a substantial portion of the Cameroonian population, with certain sociodemographic groups more vulnerable than others. This study proposes targeted policy recommendations to address food insecurity in Cameroon, including social assistance programs for at-risk groups, investments in socioeconomic empowerment, improvements in agricultural productivity, and ongoing research to guide evidence-based interventions.

Trends in household food insecurity from the Canadian Community Health Survey, 2017 to 2022.

Income-related food insecurity is an important determinant of health. This study aimed to provide an update on the food security status of Canadian households using the most recent available data from a health-oriented national-level survey. This study also examined trends in food insecurity since 2017, and how these have tracked with changes in price inflation. Data on household food security status in the 10 Canadian provinces came from five annual cycles of the population-representative cross-sectional Canadian Community Health Survey (CCHS): 2017, 2018, 2020 (September to December), 2021, and 2022. The Household Food Security Survey Module was used to categorize household food security status during the previous 12 months as food secure or marginally, moderately, or severely insecure. Before 2019, approximately 1 in 10 households had experienced some level of food insecurity in the previous 12 months (9.6% in 2017 and 11.6% in 2018). Household food insecurity prevalence was slightly lower and stable during the COVID-19 pandemic years (8.5% in fall 2020 and 9.1% in 2021) and increased to 15.6% in 2022. Levels of household food insecurity generally tracked with changes in consumer price inflation. Compared with 2021, there were notable increases in levels of moderate and severe food insecurity in 2022 among one-parent households with children, renters, and those reliant on government financial assistance. The prevalence of household food insecurity in the CCHS was relatively stable from 2017 to 2021, increased in 2022, and generally tracked with changes in price inflation. Monitoring levels of household food insecurity will continue to be important as price inflation eases but the cost of living remains high.

Food insecurity and its determinants in pastoralist and agrarian communities in South Omo Zone, Southern Ethiopia: a community-based cross-sectional study.

Despite the implementation of different interventions, food insecurity remains a major public health issue in rural areas of Ethiopia. However, there has been limited evidence regarding food insecurity and responsible factors in rural areas of Ethiopia, particularly in South Omo, Ethiopia. Hence, this study aimed to assess food insecurity and determinants in agrarian and pastoralist communities of South Omo Zone, Southern Ethiopia. A cross-sectional study was done among 605 randomly selected households in Benatsemay and South Ari districts from February 1 to 28, 2023. A standardized and validated Household Food Insecurity Access Scale (HFIAS) was used to measure food insecurity status. Data were entered using Epi-Info 7.1 and then transferred to SPSS V25 for analysis. To identify associated factors, a binary logistic regression model was employed. The strength of association was evaluated considering the adjusted odds ratio (AOR) and a 95% confidence interval (CI). A statistical significance was stated at p-value <0.05. A total of 597 participants were involved in the study with a response rate of 98.7%. The overall prevalence of food insecurity using HFIAS was 42.2% (95%CI: 38.2, 46.3%), among which mild, moderate, and severe food insecurity accounted for 17.4, 16.6, and 8.2%, respectively. Of pastoralists, 114 (47.1%) were food insecure whereas 138 (38.9%) were food insecure in the agrarian. Food insecurity was affected by household head sex (AOR = 1.73, 95%CI: 1.14, 2.62), high dependency ratio (AOR = 2.53, 95%CI: 1.53, 4.20), no formal maternal education (AOR = 2.11, 95%CI: 1.07, 4.18), productive safety net program (AOR = 2.00, 95%CI: 1.16, 3.46) and land ownership (AOR = 1.80, 95% CI: 1.19, 2.72). Food insecurity was a significant problem in the study areas. Thus, it is crucial to improve female education, advance agricultural technologies, advocate family planning, and broaden productive safety net programs.

Would edible insects become part of our gastronomic quest?

Global food security status has been contested in recent times with claims of efficient food production by the proponents and severe to moderate food insecurity by the opponents. The current population growth prediction of 9.7 billion by 2050 requires additional food production due to the impact of climate change leading to diminished yield rates. Novel food sources such as cellular agriculture utilizing modern biotechnology are at various trial and commercialization stages. Old traditions of insects as a reliable food (entomophagy) source are gaining momentum in recent times. This article explores various aspects of entomophagy. The ecological footprint of entomophagy on its animal counterparts is presented. Since religious factors have a major impact on eating habits that privileges certain elements, perspectives from major religions on entomophagy have been discussed. The regulatory standpoint of Anglo-Saxon, Western and Eastern societies are given. Consumer knowledge and commercialization challenges are also discussed with concluding remarks.

Food insecurity and the consumption of plant-centered meals and high sodium foods among students at three large state universities

Objective: To examine the associations between food insecurity and plant-centered meal consumption and other sodium-related dietary behaviors among university students. Methods: A web-based survey of students at three California state universities was conducted between August 2018 to May 2019. Multivariable logistic regressions examined the associations between food insecurity and four sodium-related dietary behaviors. Interaction terms were introduced to assess if race/ethnicity moderated these associations. Results: High food insecurity was associated with increased odds of reporting ‘likely to order’ plant-centered meals (AOR = 1.55, 95% CI = 1.16–2.05). Moderate food insecurity was associated with increased odds of frequently eating processed foods (AOR = 1.40, 95% CI = 1.13–1.74). No moderation effects were found for race/ethnicity. Conclusions: University students with high food insecurity appeared receptive to ordering plant-centered meals, whereas those with moderate food insecurity consumed more processed foods. State universities should encourage and offer more low-sodium, plant-centered meal options in their food venues, on- and off-campus, to promote student health.

Household food insecurity and novel complementary feeding methods in New Zealand families.

Optimal nutrition during infancy is critical given its influence on lifelong health and wellbeing. Two novel methods of infant complementary feeding, commercial baby food pouch use and baby-led weaning (BLW), are becoming increasingly popular worldwide. Household food insecurity may influence complementary feeding practices adopted by families, but no studies have investigated the use of BLW and baby food pouches in families experiencing food insecurity. The First Foods New Zealand study was a multicentre, observational study in infants 7.0-9.9 months of age. Households (n = 604) were classified into one of three categories of food insecurity (severely food insecure, moderately food insecure, and food secure). The use of complementary feeding practices was assessed via a self-administered questionnaire, both at the current age (mean 8.4 months) and retrospectively at 6 months. Mothers experiencing severe food insecurity had 5.70 times the odds of currently using commercial baby food pouches frequently (≥5 times/week) compared to food secure mothers (95% CI [1.54, 21.01]), reporting that pouches were 'easy to use' (89%) and made it 'easy to get fruits and vegetables in' (64%). In contrast, no evidence of a difference in the prevalence of current BLW was observed among mothers experiencing moderate food insecurity (adjusted OR; 1.28, 95% CI [0.73, 2.24]) or severe food insecurity (adjusted OR; 1.03, 95% CI [0.44, 2.43]) compared to food secure mothers. The high prevalence of frequent commercial baby food pouch use in food insecure households underscores the need for research to determine whether frequent pouch use impacts infant health.

Social ties and food insecurity in woman‐headed households

AbstractFood insecurity is a global concern, as set in the Sustainable Development Goal 2. Previous research has focused on the demographics and socioeconomic determinants of food insecurity, while little attention has been paid to the role of social ties. Using a national representative survey of Chile, that includes a questionnaire to measure prevalence of food insecurity and 11 social ties, we estimate the prevalence of four groups using a sample of 70,677 households. Then, we focus on the sub‐sample of 29,203 woman‐headed households, who experience the largest food insecurity prevalence. We use a descriptive analysis, followed by a principal component analysis to aggregate 11 social ties in fewer components to assess the associations between social ties and food insecurity and to identify the ties with stronger impact. The results show that woman‐headed households, without a partner, have a prevalence of moderate or severe food insecurity of 32.8%, 30.9%, 24.7%, after none, one and two social ties, respectively. This decreasing trend is also observed in woman‐headed households with partners. We also found that the 11 social ties studied are highly correlated among them; they can be explained by two indexes—economic and education components. In particular, we found that economic and educational social ties are associated to a larger effect on food insecurity prevalence. This study provides evidence for policy‐makers regarding investment on social ties to tackle food insecurity.

Impact of floods on food security in rural Afghanistan

Floods, affecting roughly one million Afghans annually and causing substantial economic losses, is one of the most frequent disasters. This study examines the impacts of floods on household food security in rural Afghanistan, where 80 % of the population relies on subsistence farming and consists of 80 % of the food-insecure population. Based on the 2022 Data in Emergency Monitoring Round 5 dataset, a two-stage least squares with an instrumental variable is applied to analyze the relationship, considering district altitude and unconditional aid. Our findings reveal the negative impacts of floods, i.e., flood exposure decreases the Food Consumption Score (FCS) by 7.1 points and the Household Dietary Diversity Score (HDDS) by 0.14 points. Additionally, flood exposure increases the Household Hunger Scale (HHS) by 0.77 points and significantly raises the probability of moderate and severe food insecurity by 11 % and 20 %, respectively. Food aid offers a lifeline, boosting FCS by 1.54 points and reducing HHS by 0.42 points while mitigating food insecurity risks. High-altitude areas experience greater vulnerability, with higher hunger levels and lower dietary diversity compared to lowlands. Our research suggests prioritizing preventative strategies like area-based policies and flood preparedness plans over solely relying on post-disaster relief initiatives. Additionally, accounting for topographical variations, at least at the district level, is crucial for future food security studies in Afghanistan and similar contexts. These findings hold significant implications for achieving UN Sustainable Development Goals 2 (Zero Hunger) and 13 (Climate Action).

Evaluation of Food Security Status and Mediterranean Diet Adherence of Air Services Employees in İstanbul, Türkiye

Objective: Since airports operate in foreign currency and are far from cities, employees could be limited to purchase food and beverages from more expensive sales points. Additionally, air services employees may be at risk for poor nutritional status due to job-specific unhealthy dietary habits and lifestyle behaviors. Yet, air services as workplaces have been understudied in terms of nutritional environment. Hence, in this study the aim is to assess food security (FS) and Mediterranean diet adherence (MDA) among Atatürk and Istanbul airports’ employees. Methods: The face-to-face cross-sectional study was conducted with a non-probability sample of 381 employees that were recruited between February and May 2022. FS was assessed with Food Insecurity Experience Scale and MDA with Mediterranean Diet Adherence Screener (MEDAS). Regression analyses were conducted to analyze the independent variables affecting FS. Results: MDA was found to be 7.6±2.07 and most of the participants were within a moderate adherence range. While 14.6% (n: 55) of the participants have moderate or severe food insecurity, 2.9% (n: 11) have severe food insecurity. The regression analyses revealed the factors affecting food insecurity as education, income, smoking, use of medication, and dieting status (p

Predictors of persistent moderate and severe food insecurity in a longitudinal survey in Mexico during the COVID-19 pandemic.

Household food insecurity (HFI) increased in Latin America by 9% between 2019 and 2020. Scant evidence shows who was unable to recover from the COVID-19 pandemic. Our aim was to use a Machine Learning (ML) approach to identify consistent and influential predictors of persistent moderate or severe HFI over 2 years. We use a three-wave longitudinal telephone survey with a probabilistic sample representative of the Mexican population. With a response rate of 51.3 and 60.8% for the second and third waves, the final sample size consisted of 1,074 individuals. The primary outcome was persistent HFI, i.e., respondents who reported moderate or severe HFI in 2021 and 2022. Twelve income-related predictors were measured in 2020, including baseline HFI. We employed 6 supervised ML algorithms to cross-validate findings in models, examined its precision with 4 standard performance indicators to assess precision, and used SHAP values (Shapley Additive exPlanations) to identify influential predictors in each model. Prevalence of persistent moderate/severe HFI in 2021 and 2022 was 8.8%. Models with only a HFI 2020 baseline measure were used as a reference for comparisons; they had an accuracy of 0.79, a Cohen's Kappa of 0.57, a sensitivity of 0.68, and a specificity of 0.88. When HFI was substituted by the suite of socioeconomic indicators, accuracy ranged from 0.70 to 0.84, Cohen's Kappa from 0.40 to 0.67, sensitivity from 0.86 to 0.90, and specificity from 0.75 to 0.82. The best performing models included baseline HFI and socioeconomic indicators; they had an accuracy between 0.81 and 0.92, a Cohen's Kappa between 0.61 and 0.85, a sensitivity from 0.74 to 0.95, and a specificity from 0.85 to 0.92. Influential and consistent predictors across the algorithms were baseline HFI, socioeconomic status (SES), adoption of financial coping strategies, and receiving government support. Persistent HFI can be a relevant indicator to identify households that are less responsive to food security policies. These households should be prioritized for innovative government support and monitored to assess changes. Forecasting systems of HFI can be improved with longitudinal designs including baseline measures of HFI and socioeconomic predictors.

Enhancing food security through keyhole gardening in Lesotho

ABSTRACT Keyhole gardens are gaining prominence worldwide due to their sustainable agricultural benefits. Additional evidence is required to inform keyhole gardening policy guidelines for combating food insecurity and poverty. This study employed an endogenous treatment effects estimator with ordered outcomes to assess keyhole gardening impact on food security. The study included data from 2,014 households in Lesotho. Our analysis shows that keyhole gardens have a 30.60% likelihood of achieving food security and reducing moderate and severe food insecurity by 11.02% and 41.62%, respectively. As a result, government and aid agencies should prioritize food-insecure households in keyhole garden initiatives.

Nurturing care assets for food security: a community asset mapping approach

BackgroundZip codes classified by the Food Insecurity Index with moderate and high food insecurity (FI) risk can be a threat to the health and well-being of children during the first 1,000 days (from pregnancy to 2 years). The presence of nurturing care assets (i.e., stable environments that promote health and nutrition, learning opportunities, security and safety, and responsive relationships) can contribute to supporting families and their communities, and ultimately reduce systemic barriers to food security. We aimed to identify and characterize nurturing care assets in under-resourced communities with moderate and high FI risk.MethodsFour steps were used to conduct a Community Asset Mapping (CAM): (1) review of community documents across five zip codes in Clark County, Nevada (2), engagement of community members in identifying community assets (3), definition of the assets providing nurturing care services, and (4) classification of assets to nurturing care components, i.e., good health, adequate nutrition, safety and security, opportunities for early learning, and responsive caregiving. The Food Insecurity Index was used to determine FI risk in each zip code. Analyses explored whether disparities in nurturing care assets across zip codes with moderate and high FI exist.ResultsWe identified 353 nurturing care assets across zip codes. A more significant number of nurturing care assets were present in zip codes with high FI risk. The adequate nutrition component had the most assets overall (n = 218, 61.8%), while the responsive caregiving category had the least (n = 26, 7.4%). Most of the adequate nutrition resources consisted of convenience stores (n = 96), food pantries (n = 33), and grocery stores (n = 33). Disparities in the number and type of good health, early learning, and security and safety assets were identified within zip codes with high FI risk compared to moderate FI risk.ConclusionsThe quantity and type of nurturing care assets can exacerbate existing demographic disparities across zip codes, which are tied to barriers to access to food in under-resourced communities in Clark County, Nevada. Co-creating a nurturing care asset-based zip code strategy to address high FI risk will require strengthening systems across existing nurturing care assets.

Spatiotemporal modeling of household's food insecurity levels in Ethiopia

The state of moderate and severe food insecurity in Ethiopia has not been significantly reduced for a long time due to cultural, natural, and manmade shocks, which cover most part of the country with considerable magnitude and have adverse effects on the health and economy. This temporal evolution of the wider geographic distribution of the food insecurity levels has not been investigated for the feeding culture and shocks effect in Ethiopia, though previous studies have indicated significant geographic distribution and related factors. In addition, the longtime zone-specific comprehensive drivers were not assessed. Therefore, this study focused on investigating the feeding culture-adjusted food insecurity levels (FCSL) and their evolutional sustainability across zones by identifying the factors causing each level of household's food insecurity tailored to a specific zone.In this study, Ethiopian socio-economic longitudinal data from years 2012, 2014, and 2016 with a sample size of 3835 households were analyzed. An ordinal spatiotemporal model with different interactions under empirical Bayes estimation was adopted, and the type III interaction with Markov random field was selected to reveal the evolution of FCSL sustainability across zones and find-out the causing factors of households to each level of food insecurity tailored to zone-level by analyzing the effects of diverse factors and shocks. The result reveals that a greater portion (52.07 %) of households’ population is moderately and chronically food insecure. Basically, households living in neighboring zones have significantly similar food insecurity levels, and slight improvements were observed over time. This transition over time within neighboring zones, revealed that chronic food insecurity in neighboring zones has transited to moderate food insecurity, particularly in most of the northern and southwestern areas of Ethiopia. However, the interaction term showed that the change in food insecurity levels for households living in neighboring zones is similar at one time point, but the evolution is not sustainable. Therefore, working on major zone-specific factors, such as enhancing zone-level urbanization through improving market and road linkage to rural areas, education, employment, non-agricultural businesses, and promoting integrated farming by conserving soil with consideration of additional confounding factors, will bring change and can sustainably eradicate moderate and chronic food insecurity in zone households through controlling dependency ratios, shocks, and small land size farming. This study brings resilient, manageable, and zone-specific mitigation for households living in food-insecure and vulnerable zones.

Assessment of prevalence and severity of food insecurity among parents/guardians of students in Basrah Province, Southern Iraq

Background and Aim: An individual’s ability to obtain enough nutritious and healthy food to sustain a healthy lifestyle is a crucial indicator of food security. This study estimated food insecurity’s prevalence and levels among parents/guardians of secondary school students in Basrah and describe its consequences. Materials and Methods: The Food Insecurity Experience Scale (FIES) was implemented through a questionnaire survey to evaluate food insecurity. The relationship between financial factors, attitudes, and psychological impacts regarding food accessibility and affordability was studied in detail. The eight food insecurity questions’ responses were measured using the Rasch model approach. Results: Two hundred and fifty-two parents/guardians took part in the survey. The prevalence of food insecurity was estimated as 24% (with a 95% confidence interval of 18.9%–29.8%). Around 50% of the parents/guardians stated that their typical income is middle-income. 28% of respondents reported having sufficient food but not their preferred choices, while 35% paired food shortage with financial instability, 32% could not afford nutritionally balanced meals, and 21% of the parents admitted to cut or skipped their meals to other family members. 21% of parents/guardians were affected by inadequate food supply during the COVID-19 pandemic. The level of food insecurity included that 50% of the respondents exhibited mild food insecurity, 19.4% had moderate food insecurity, and 4.3% were classified as having severe food insecurity. According to the Rasch analysis of the FIES data, the likelihood of experiencing severe food insecurity is linked to consuming unhealthy food, having food run out, and eating unbalanced meals. Conclusion: The study found that financial constraints, food safety concerns, and limited access to nutritious food explain the widespread food insecurity reported. Significant efforts are required to alleviate chronic food shortages in Basrah, including job creation, strengthening agricultural production, and implementing safety-net policies for affected families. Keywords: food accessibility, food insecurity, parents/guardians, Rasch model.

Smallholder Farmers' Use of Indigenous Knowledge Practices in Agri-food Systems: Contribution of Food Security Attainment Drive

Most of the world's poor, including those in Nigeria, live in rural and agrarian settings and are engaged in agricultural practices for sustenance. Meanwhile, increasing agricultural productivity requires the adoption of modern technologies and improved farming systems, which entail considerable cost outlays for initial adoption and continued use. These costs may be out of reach for resource-poor smallholder farmers, hence the need to embrace indigenous knowledge practices (IKPs) in an agrarian economy such as Nigeria. This research examined the contribution of farmers' food security attainment efforts through the use of IKPs. Drawing on a documentary review of literature and empirical evidence, as well as data collected from 349 randomly selected smallholder farmers, the study applied descriptive statistics, a standardized food insecurity experience scale survey module, and a multivariate probit regression model to analyze the dataset. The findings revealed that almost 86% of the farmers have a strong and positive perception of the effectiveness of IKPs on agricultural production, while approximately 90% of the farmers are food insecure (those in the chronic and moderate food insecurity categories). The results also indicated that farmers’ food security status, household size vis-à-vis dependency ratio, awareness of IKPs, age of the farmers, years of farming experience, access to extension services, and frequency of visits by extension personnel significantly influenced farmers’ use of traditional farming practices, crop selection/rotation strategies, and water management techniques in the study area. Despite the farmers' use of IKPs, most of them are still largely food insecure, which raises serious concerns. Given this, the study recommends a multi-stakeholder partnership to foster synergies between the use of indigenous knowledge and modern scientific approaches by farmers, harnessing the complementary strengths of both knowledge systems to address the contemporary challenges faced by smallholder farmers in the agri-food systems.

Toward Ending Violence Against Women: The Association of Intimate Partner Violence With Food Security Status Among Ever-Married Women in Cameroon.

Despite an extensive body of literature that explores potential mechanisms explaining the factors associated with intimate partner violence (IPV) experienced by women, very few studies have studied the association of food security status with women's experience of IPV in sub-Saharan Africa countries, including Cameroon. Using data from the 2018 Cameroon Demographic and Health Survey (n = 4,690), we explore the association between food security status and three distinct forms of IPV (i.e., emotional, sexual, and physical IPV) among ever-married women in Cameroon. Adjusting for socioeconomic, demographic, and attitudinal and behavioral characteristics, we found that women with severe (odds ratio [OR] = 2.09, p < .01), moderate (OR = 1.88, p < .05), and mild (OR = 1.76, p < .05) food insecurity were more likely to experience sexual IPV, compared to those without any food insecurity, whereas women with severe food insecurity were more likely to experience physical IPV (OR = 1.89, p < .001). Although women with severe (OR = 1.51, p < .01) and moderate (OR = 1.67, p < .001) food insecurity had a higher likelihood of experiencing emotional IPV at a bivariate level, we found that these associations became no longer significant in our adjusted model. These findings suggest that food insecurity is a critical risk factor for IPV among ever-married women in Cameroon. Addressing IPV requires a comprehensive strategy that places special emphasis on households experiencing food insecurity. There is also an urgent need to implement educational programs to increase awareness of the interconnection between food insecurity and IPV and to allocate resources to community-based initiatives that empower women both economically and socially.

Changes in HIV Internalized and Experienced Stigmas and Social Support After an Urban Gardens and Peer Nutritional Counseling Intervention Among People With HIV and Food Insecurity in the Dominican Republic.

Food insecurity and HIV-related stigma negatively affect HIV outcomes. Few studies have examined how food security interventions affect HIV-related stigma and social support. Two HIV clinics in the Dominican Republic. A pilot cluster randomized controlled trial of an urban gardens and peer nutritional counseling intervention was conducted to examine outcomes of HIV-related stigmas and social support. Adult patients (≥18 years of age) with moderate or severe household food insecurity and evidence of suboptimal ART adherence and/or a detectable viral load were enrolled; standard measures of internalized and experienced stigmas and social support were collected at baseline and at 6 and 12 months. Intervention clinic participants received training and materials from agronomists for a home garden, 3-4 sessions of nutritional counseling from the clinic's peer counselor, and a garden produce cooking workshop facilitated by professional nutritionists. Of 109 study participants (46 intervention and 63 control), 103 (94%) completed 12-month follow-up. Difference-in-differences multivariate longitudinal linear regressions adjusting for sociodemographic factors found that intervention participants had reduced internalized stigma by 3.04 points (scale 0-32) at 12 months (P = 0.002); reduced probability of experiencing HIV-related stigma or discrimination in the past 6 months (20 percentage points at 6 months, P = 0.05 and 25 percentage points at 12 months, P = 0.02); and modestly improved social support at 12 months (1.85 points on 30-pt scale, P = 0.093). A fully powered, larger trial is needed to establish the efficacy of the intervention and assess pathways by which the intervention may improve HIV stigma and social support.