Household Food Security Research Articles

Harnessing climate information service use for cocoa farming sustainability in Ghana

ABSTRACT Climate change poses significant challenges to agricultural sectors worldwide, including the cocoa industry, which is highly vulnerable to climate variability. Understanding how climate information services (CIS) can support cocoa farmers in adapting to these challenges is crucial for enhancing resilience and ensuring the sustainability of cocoa production. We employed a survey methodology that usedd a simple random sampling technique to select 400 cocoa farmers. The findings show that a substantial majority of cocoa farmers actively use climate information services. Weather forecasts emerge as the most commonly utilised CIS (87.57%). Radio emerges as the predominant source of climate information, notably for its accessibility and reach. Respondents expressed a favourable perception of CIS. Membership in farmer-based organizations and access to extension services enhance the likelihood of CIS utilisation. A compelling narrative of the remarkable outcomes of CIS unfolds, spotlighting a 53% increase in cocoa yields, a resounding 72% reduction in household food insecurity, and a striking 58% surge in income. Despite these triumphant strides, the perceived complexity surrounding CIS dissemination and utilisation emerges as a key challenge. Urgent efforts to streamline accessibility, foster comprehension, and bolster resource allocations must follow, ensuring that cocoa farming remains a beacon of sustainable prosperity.

Food Insecurity Screening in High-Income Countries, Tool Validity, and Implementation: A Scoping Review.

Household food insecurity has significant negative implications across the lifespan. While routine screening is recommended, particularly in healthcare, guidelines are lacking on selection of screening tools and best-practice implementation across different contexts in non-stigmatizing ways. The objective of this scoping review was to synthesize evidence on household food insecurity screening tools, including psychometrics, implementation in a range of settings, and experiences of carrying out screening or being screened. Four electronic databases were searched for studies in English published from 1990 until June 2023. A total of 58 papers were included, 21 of which focused on tool development and validation, and 37 papers described implementation and perceptions of screening. Most papers were from the USA and described screening in healthcare settings. There was a lack of evidence regarding screening in settings utilized by Indigenous people. The two-item Hunger Vital Sign emerged as the most used and most valid tool across settings. While there is minimal discomfort associated with screening, screening rates in practice are still low. Barriers and facilitators of screening were identified at the setting, system, provider, and recipient level and were mapped onto the COM-B model of behavior change. This review identifies practical strategies to optimize screening and disclosure.

Biological potentials of Landolphia owariensis leaf methanolic extract against pathogenic fungi isolates from different Dioscorea species

Abstract Regarding economic significance, the Dioscoreaceae family, which includes the well-known Dioscorea (yam) species, is the fourth most important tuber crop globally. A basic meal found all across the world, yams encourage and ensure the food security of households. Although they are challenging to preserve and store however a post-harvest deterioration control must be developed. Over the years, Nigerian farmers have employed medicinal herbs to manage post-harvest pest invasion; nevertheless, the scientific basis for this fungal management has not yet been well documented. As a result, Landolphia owarensis leaf extract was used as a biological control, and fungi were isolated from Dioscorea cayenensis, Dioscorea alata, and Discorea rotundata. Samples of yam tubers – both rotten and healthy – were procured in the markets and brought to the lab for fungus isolation and identification. Leaves of Landolphia oweriensis were collected, air-dried, milled, and macerated in pure methanol for 72 h, extracted and concentrated with a rotary evaporator. The agar-well diffusion method was used for the biological control assay against the fungal isolates. The biological control results were presented as mean ± SD (standard deviation) while analysis of variance (Anova) was used to deduce least significant difference (LSD). A total number of 605 fungi isolates were observed in which D. cayenensis had the highest, 50.58 %, D. alata and Discorea rotundata 24.71 % respectively. Aspergillus niger and Aspergillus fumigatus were found in the three species while Aspergillus flavus, Rhizopus stolonifer, Collentotricum spp. and Penicillium spp. in either of the species. L. owarensis methanolic leaves extracts possesses biological potentials against Colletotrium spp., A. fumigatus, A. niger and A. flavus only. The problem of postharvest fungal invasion of Dioscorea species can be solved with the inhibition observed with L. owarensis methanolic leaves extracts as a biological control measure thereby sustaining food security in the world.

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.

Impact assessment of sustainable agricultural practices on smallholder households food security: evidence from Burkina Faso

ABSTRACT This study investigates the factors affecting smallholder farmers’ decisions to adopt Sustainable Agricultural Practices (SAPs) and the impacts of single and multiple SAPs adoption on household food security in the Hauts-Bassins region of Burkina Faso. Data were collected through an individual face-to-face survey with 384 farmers. The study used both the multinomial endogenous switching regression and the average treatment effect model complemented with the multivalued inverse probability weighted regression model for the analyses. Results showed that age, education, cooperative membership, farm size, and access to climate and technology information are some socio-economic determinants of farmers’ decisions to adopt SAPs. Several factors can affect the adoption of SAPs and the impact of adopted SAPs on household welfare. Therefore, adopting single or joint SAPs can’t lead to a positive impact on crop yield, income, and further food security, unless implemented in suitable conditions. Also, the adoption of SAPs may enable food diversification and availability but not cover all aspects of food security. Thus, future studies can deeply explore the impact of SAPs on the different dimensions of food security. Our findings advocate for policies that target reducing constraints faced by farmers in successfully implementing SAPs.

Household food security and WASH practices in children with undernutrition: a case study in low middle income area in Semarang, Indonesia

Purpose: This study analyzed the correlation between household food security (HFS) and WASH practices toward nutritional status in children with undernutrition. Methods: This type of research was analytically observational with a cross-sectional design. The sample in this study was 55 mothers with children with a history of undernutrition aged 6 to 23 months. The Rank Spearman test was conducted to analyze this study. Results: The prevalence of stunted and severely stunted was 34.55%, respectively; underweight and severely underweight were 36.36%, respectively; and wasted and severely wasted were 30.91 and 16.36% respectively. The percentage of respondents with mild, moderate, and severe food insecurity were 23.6, 7.3, and 12.7% respectively. The average value of WASH practices was rated as good among all respondents. Household food security score was associated with WAZ (p=0.008 and r=0.352) and HAZ (p=0.027 and r=0.299) but was not associated with WHZ (p=0.067; r=0.248). WASH practice was associated with WAZ (p=0.000; r=0.504), HAZ (p=0.000; r=0.455), and WHZ (p=0.000; r=0.334). Conclusion: There were still conditions of severe food insecurity and undernutrition problems that need the focus of attention. There is a need for monitoring by looking at certain aspects, such as HFS and WASH practices in reducing undernutrition.

The effect of total factor productivity on the food security and livelihood vulnerability of farm households in Bangladesh

Food security and livelihood vulnerability are important issues for the economic sustainability of developing countries like Bangladesh. This study examines the influence of total factor productivity (TFP) on the livelihood vulnerability and food security of rice farming households in Bangladesh. Data from 1,841 rice farming households were extracted from the Bangladesh Integrated Household Survey (2015 and 2018) conducted by the International Food Policy Research Institute. Various statistical methods, such as the stochastic frontier model, principal component analysis, path analysis using structural equation modeling, and multivariate regression, were employed to analyze the data. The study utilizes a multivariate modeling approach that combines the stochastic frontier model to determine TFP and sophisticated methodologies to estimate the livelihood vulnerability index (LVI) and women’s empowerment in agriculture index (WEAI). The LVI, household dietary diversity Score (HDDS), TFP, and WEAI scores were 0.454, 10.72, 0.703, and 0.717, respectively. The results indicate a significant relationship between TFP and both LVI and HDDS. Higher TFP is associated with lower LVI and higher HDDS among rice farming households, suggesting that improving TFP can enhance food security and reduce vulnerability. The multivariate regression analysis reveals that TFP, household wealth index, women’s empowerment in agriculture index, per capita food expenditure, household level welfare, and household size have a positive significant impact on HDDS, while TFP is negatively associated with LVI, per capita food expenditure and household size. The findings underscore the importance of increasing TFP to improve food security, reduce livelihood vulnerability, and achieve sustainable development goals in countries like Bangladesh. Higher TFP yields positive outcomes regarding household dietary diversity and livelihood vulnerability, highlighting the need for agricultural policies that prioritize TFP enhancement. Policymakers and professionals can use these findings as a roadmap to implement advanced agricultural policies to achieve food security and reduce livelihood vulnerability. Improving household dietary diversity and reducing livelihood vulnerability can be achieved by focusing on increasing TFP, enhancing household wealth, women’s empowerment, per capita food expenditure, household welfare, and household size. Therefore, increasing TFP should be considered in the design of policies aiming to achieve SDGs Goal 2.

Understanding the link between climate change adaptation and household food security among shrimp farmers in Indonesia

This study investigates the impact of climate change adaptation strategies on household food security in Indonesia based on a comprehensive analysis of data from 445 shrimp farmers. Employing the innovative Two Stage Predictor Substitution (2SPS) method, the research reveals key determinants influencing farmers' decisions to adopt adaptation measures. Factors such as mechanization, proximity to main roads, cultivated land area, participation in field schools, and individual perceptions of climate change significantly affect climate change adaptation. Importantly, the study uncovers a strong positive relationship between the level of adaptation implemented and household food security among shrimp farmers. This correlation means that the more intense the adaptation practices are, the better the household food security status will be. This study also demonstrates that the impact of climate change adaptation on food security is particularly pronounced among farmers with lower income levels and smaller cultivated land areas. This positive effect diminishes for households with higher income levels and larger land areas. These findings underscore the need to tailor adaptation strategies, particularly for small-scale farmers, and customize interventions to ensure food security in the face of climate change challenges.

Food and Nutrition Insecurity: Experiences That Differ for Some and Independently Predict Diet-Related Disease, Los Angeles County, 2022

BackgroundNational surveillance shows that food insecurity affects ∼1 in 10 Americans each year. Recently, experts have advocated for surveillance of nutrition insecurity alongside food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one’s ability to meet food preferences. ObjectivesThis study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, United States; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes. MethodsIn December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N = 1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 months. Data were analyzed in 2023. ResultsReported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was less than 60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared with food insecurity, and both constructs independently predicted poor mental health. ConclusionsFood and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.

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

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

Household food insecurity levels and associated characteristics in children from 0 to 59 months old in Colombia

Objetivo: Determinar los niveles de inseguridad alimentaria del hogar en niños de 0 a 59 meses en Colombia y sus factores sociodemográficos asociados. Materiales y métodos: Se realizó un estudio analítico transversal, en términos de un análisis secundario de la Encuesta Nacional del Situación Nutricional en Colombia desde 2015; se evaluó un total de 12 894 niños pequeños entre 0 y 59 meses mediante la Escala de Seguridad Alimentaria de América Latina y el Caribe; se evaluaron características sociodemográficas y económicas; la inseguridad alimentaria fue examinada por cada una de las variables sociodemográficas; se utilizaron modelos multivariados de regresión de Poisson para estimar las asociaciones. Resultados: La edad promedio fue de 29,6 meses y el 48,8 % eran niñas; los resultados indicaron que el 59,9 % de los niños vivían en hogares con algún grado de inseguridad alimentaria (severa: 8,8 %, moderada: 13,8 %, y leve: 37,3 %); se encontró que los hijos cuyos padres tenían un nivel educativo anterior a la primaria y los pertenecientes al cuartil 1 de riqueza estaban más asociados con tener inseguridad alimentaria en sus hogares. Conclusiones: En general, la proporción de niños que residen en hogares con algún grado de inseguridad alimentaria en Colombia es alta.

Protocol for the Support Application for Food PAntrieS trial: design, implementation, and evaluation plan for a digital application to promote healthy food access and support food pantry operations.

Food-insecure households commonly rely on food pantries to supplement their nutritional needs, a challenge that was underscored during the COVID-19 pandemic. Food pantries, and the food banks that supply them, face common challenges in meeting variable client volume and dietary needs under normal and emergency (e.g., pandemic, natural disaster) conditions. A scalable digital strategy that has the capacity to streamline the emergency food distribution system, while promoting healthy food options, managing volunteer recruitment and training, and connecting to emergency management systems in times of need, is urgently required. To address this gap, we are developing a working mobile application (app) called the Support Application for Food PAntrieS (SAFPAS) and will evaluate its feasibility and impact on food pantry staff preparedness, stocking, and client uptake of healthful foods and beverages in two urban United States settings. This paper describes the protocol for a randomized controlled trial of the SAFPAS mobile application. We will conduct formative research in Baltimore, Maryland and Detroit, Michigan to develop and refine the SAFPAS app and increase scalability potential to other urban settings. Then we will test the app in 20 food pantries in Baltimore randomized to intervention or comparison. The impact of the app will be evaluated at several levels of the emergency food system, including food pantry clients (n = 360), food pantry staff and volunteers (n = 100), food pantry stock, and city agencies such as the local food bank and Office of Emergency Management. The primary outcome of the SAFPAS trial is to improve the healthfulness of the foods received by food pantry clients, measured using the Food Assessment Scoring Tool (FAST). Post-trial, we will conduct additional formative research in Detroit to prepare the app for scale-up. We anticipate that SAFPAS will improve alignment in the supply and demand for healthy foods among food pantry clients, food pantries, and city agencies which supply food in Baltimore. Real-time, bidirectional communication between entities across the system allows for increased situational awareness at all levels during normal and emergency operations. By conducting formative research in Detroit, we hope to increase the scalability of the SAFPAS app to additional settings nationwide. NCT87654321. https://classic.clinicaltrials.gov/ct2/show/NCT05880004.

Influence of Small-Scale Irrigation on Livelihoods of Rural Farm Households in the Case of Legehida District, Ethiopia.

Irrigation development, particularly small-scale irrigation, is one of the most important projects for improving agricultural productivity in a country's rural communities. The extent to which small-scale irrigation has improved household livelihoods in Ethiopia's rural areas is not widely recognized. As a result, research on the influence of small-scale irrigation on farmers' livelihoods in the Legehida district will be sought. The study took a "with" and "without" strategy, comparing farmers who used irrigation against those who did not. For analysis, both quantitative and qualitative data were employed. The survey's respondents were chosen using a random sample approach from both irrigation users and nonuser households. Quantitative data for the study were collected from randomly selected 241 farm households, of which 113 were users and 128 were nonusers, using a semistructured questionnaire. Accordingly, the propensity score matching model was employed to examine the impacts of small-scale irrigation on farmers' livelihoods. The logit model result indicates that cultivated land size, off-farm income, education level, family size, dependency ratio, total livestock unit, and distance to the nearest agricultural extension office/FTC are determinant factors in determining whether to practice irrigation when other factors remain constant. The impact of irrigation on a household's income and food security (in terms of daily calorie intake) was evaluated using a propensity score matching model. The result shows that a positive and significant impact on farmers who use small-scale irrigation has increased the daily calorie intake and annual income of households by 244.162 kilocalories and 5234.258 ETB, respectively, as compared to nonirrigation users. This shows that households that participate in small-scale irrigation activities have a higher annual income and food security status than comparable groups. In general, the study recommends that to reduce food insecurity and the socioeconomic problems of rural households, irrigation farming is one of the viable solutions; therefore, the government and nongovernmental organizations should extensively focus on the enhancement of small-scale irrigation infrastructure, policies, strategies, and extension services to increase productivity, income, and livelihood improvement in rural households.

Does COVID-19 Influence the Urban Household’s Food Security in Horo Guduru Wollega Zone, Ethiopia?

Household food insecurity is an important variable for understanding the nutritional status of children and women in low-income countries. This study was therefore initiated to determine household food insecurity status and to analyse the impact of COVID-19 on household food security in a selected number of households in the Horo Guduru Wollega Region of Ethiopia. Multistage sampling methods were used in this study. First, 4 were randomly selected from 12 found in the Horo Guduru Wollega area. The population/size ratio is then used to select households in each city. Finally, the eligible households for the study were randomly selected. Accordingly, 360 sample data were collected from 5,710 poor households in four urbans in the Horo Guduru Wollega zone. Both qualitative (in-depth interview) and quantitative data (structured questionnaires) were included in this study. The data collected were analysed using the propensity score matching model. The result of the concordant estimation of the propensity score showed supportive indications for improving the food security standard of living. All consistent test methods used for analysis showed that there was a statistically significant difference in the assessment of dietary diversity between safe and unsafe foods. This study concludes that the COVID-19 pandemic is affecting household food security in the study area. Therefore, all concerned bodies are responsible to overcome the problem of food insecurity that occurred due to the COVID-19 in the region and nationally. The data analysed to know impact COVID-19 on food security in the study area. The propensity score matching estimation result has shown supportive evidence about the improvements of the living standard of food security. All of the matching test methods employed for the analysis showed that there was statistically significant dietary diversity scores difference between food secure and insecure. In general, this study revealed that COVID-19 pandemic affects household food insecurity status in study area.

Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques.

Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This study aims to utilize machine learning to identify the associations between food insecurity and nutrient intake among children aged 5 to 18 years. The study's sample encompassed 1040 participants selected from a 2022 food insecurity household conducted in the West Bank, Palestine. The results indicated that food insecurity was significantly associated with dietary nutrient intake and sociodemographic factors, such as age, gender, income, and location. Indeed, 18.2% of the children were found to be food-insecure. A significant correlation was evidenced between inadequate consumption of various nutrients below the recommended dietary allowance and food insecurity. Specifically, insufficient protein, vitamin C, fiber, vitamin B12, vitamin B5, vitamin A, vitamin B1, manganese, and copper intake were found to have the highest rates of food insecurity. In addition, children residing in refugee camps experienced significantly higher rates of food insecurity. The findings emphasize the multilayered nature of food insecurity and its impact on children, emphasizing the need for personalized interventions addressing nutrient deficiencies and socioeconomic factors to improve children's health and well-being.

Underweight and Predictors Among Children Aged 6-59 Months in South Ethiopia.

Underweight remains the primary public health concern among under-five-year-old children in Ethiopia, despite numerous government-implemented nutrition-specific and sensitive interventions. Therefore, this study aimed to assess underweight and associated factors among children in South Ethiopia. Between March and April 2021, 717 children in the South Ari district who were between the ages of 6 and 59months participated in a cross-sectional study. To choose a sample of households containing a minimum of one child between the ages of 6 and 59months, a multi-stage sampling procedure was used. Data were collected by interviewer-administered structured questionnaires from the mothers of the children. To determine the factors associated with being underweight, a binary logistic regression analysis was built. All variables with a p-value <0.25 in the bivariable analysis were entered into a multivariable logistic regression analysis. To assess the strength of the association, an adjusted odds ratio (AOR) with a 95% confidence interval was used. With a p-value below 0.05, statistical significance was declared. The prevalence of underweight was determined to be 29.7% (95% CI: 26.5%, 33.2%). Child age 6-23months [adjusted odds ratio (AOR) = 0.28; 95% confidence interval (CI): 0.18, 0.44], food insecurity (AOR = 1.48; 95% CI: 1.04, 2.10), sub-optimal child dietary diversity (AOR = 1.44; 95% CI: 1.01, 2.03), birth interval <24months (AOR = 2.49; 95% CI: 1.75, 3.54), and common childhood illness (AOR = 2.21; 95% CI: 1.52, 3.21) were associated with being underweight. Underweight among children is predicted by household food insecurity, suboptimal dietary diversity, and common childhood illnesses, necessitating further efforts to improve food security and manage common illnesses.

Subsidised Foodgrains Transfer for Household Food Security: Comparison of Changing Consumption From the Public Distribution System Against Other Staple-Sources in Rural India

This study evaluated the effect of subsidised in-kind transfers on household food security by comparing the calorie consumption share between the Public Distribution System, India, and other sources. Using the pseudo-panel of NSSO-CES data from 1993, 2004, and 2009, and the latest 2011 (released in 2014), the study found that the share of home-produced foodgrains was supplanted by PDS. The analysis revealed a negative elasticity of per-capita calorie intake to the decline in PDS subsidies, after controlling for socioeconomic and spatial attributes. Regional interactions with elasticity were statistically significant in regions with greater vulnerability to food insecurity. Strengthening the in-kind subsidised transfer is recommended as a crucial strategy, given the continued decline in the share of home-grown sources.

Seasonal Variations in Food Insecurity Prevalence of Mother-Child Dyads in Seme Sub-County, Kisumu, Kenya

Food insecurity remains a major impediment to the attainment of adequate health outcomes among the population. This is attributable to the adverse implications that food insecurity poses on the nutritional status of the populations. Globally, in the year 2021, an estimated population of 3.1 billion people (42%) faced unprecedented food crisis evident by inability to afford a healthy meal. Meanwhile, global rates of stunting attributable to food insecurity among children under the age of sixty months was 22.3%. In Kenya, close to 32% of the populations are acutely food insecure and require urgent food insecurity interventions. Kisumu County is a food import county; hence, decline in food supplies in the counties depends on for food supply results in food crisis amongst its populace. Women and children are disproportionately affected by food insecurity due to gender and age-related factors. Rural populations are often worse affected by food insecurity as evident by high rates of stunting experienced in rural areas when compared to overweight rates that are more in urban areas. It is on this basis that we sought to assess the prevalence of food insecurity among mother-child dyads drawn from Seme Sub-County, a rural area in the County of Kisumu, Kenya. We used a longitudinal study design adopting repeated cross-sectional measures to assess food security status of a sample of 201 mother-child pairs during planting and harvesting seasons. Food security status of mothers was assessed quantitatively using Household Food Insecurity Access Scale. Children’s food security status was assessed using Prevalence of Undernourishment as indicated by the anthropometric measurements. Qualitative data were further synthesized using Key Informant Interviews and Focus Group Discussions to complement quantitative data on prevalence of food insecurity among mother-child dyads. Data was analysed descriptively to indicate proportions of mothers and children depicting various food insecurity classifications. The mean HFIAS score for season I; 11.22 (± 5.36 SD) was statistically significantly different (higher) than mean HFIAS score for season II; 9.63 (± 5.18 SD) at α ≤ 0.05 (t-test: p=0.003). During planting season, a majority of the mothers; 134 (70.9%) experienced severe food insecurity prevalence and during harvesting season, a majority of the mothers; 117 (61.9%) experienced severe food insecurity prevalence. In planting season, almost three-quarters of the children; 137 (72.5%) were food secure as they had normal weight-for-age Z score (were not underweight). On the other hand, slightly higher than average; 102 (54.0%) of the children were food secure during harvesting season. These findings demonstrate suboptimal variations in prevalence of food insecurity across the two seasons. Mothers were more likely to experience severe food insecurity prevalence than children. Thus, there is a need to develop adequate interventions aimed at optimizing intra-household food distribution dynamics as means of ensuring adequate food security for both mothers and children in the study area

Impact of Improved Maize and Bean Varieties on Household Income and Food Security in Uganda.

The National Agricultural Research Organisation (NARO) and development partners have invested substantial resources in breeding maize and bean varieties over the years. However, the impact of the varieties on productivity, household income and food security is not well documented. This paper evaluated the ex-post impact of adopting NARO released bean and maize varieties over the last five years on the productivity, household income and food security in Uganda. Data were collected from 30 districts in Uganda through a cross-sectional household survey of 1445 households, focus group discussions and key informant interviews. Using propensity score matching and endogenous switching regression models, the results showed that adoption of improved bean and maize varieties significantly increased crop productivity, household income and food security. This evidence suggests that there were tangible benefits from funding the development of bean and maize varieties in Uganda. The results indicate that although adoption of the improved bean and maize varieties increased productivity, it was still far below the research production output. This suggests that in addition to developing and disseminating the appropriate varieties, emphasis should be put on training farmers to use the complimentary inputs and practices to get the full benefit of the improved varieties.

Differing Within-Household Food Security Statuses Are Associated with Varied Maternal Mental Health Outcomes.

Household food insecurity is not necessarily equally experienced by all household members, with mothers often changing their intake first when food resources are limited. The purpose of this study was to understand the association between maternal mental health and intrahousehold differences in food security statuses. A cross-sectional survey was administered to Virginia mothers with low income (August-October 2021), assessing validated measures of food security, mental and physical health and related factors. Participants (n = 570) were grouped according to the food security status of adults and children within the household. Linear regression was used to assess the outcomes of interest by group and controlled for key demographic variables. Mothers in households with any food insecurity reported worse overall mental health and used 3-4 more food coping strategies than households experiencing food security (p < 0.05). Only mothers in households where adults experienced food insecurity reported significantly greater anxiety and depressive symptoms (61.5 and 58.1, respectively) compared to households experiencing food security (55.7 and 52.4, p < 0.001). While any experience of household food insecurity is associated with worse maternal mental health, there were differences by the within-household food security status. Future research should explore screening measures that capture specific household members' food security to connect households with available resources.