Addressing food insecurity in rural primary care: a mixed-methods evaluation of barriers and facilitators.

BACKGROUND: Food insecurity (FI) is associated with negative health outcomes and increased healthcare utilization. Rural populations face increased rates of FI and encounter additional barriers to achieving food security. We sought to identify barriers and facilitators to screening and interventions for FI in rural primary care practices. METHODS: We conducted a mixed-methods study using surveys and semi-structured interviews of providers and staff members from rural primary care practices in northern New England. Survey data were analyzed descriptively, and thematic analysis was used to identify salient interview themes. RESULTS: Participants from 24 rural practices completed the survey, and 13 subsequently completed an interview. Most survey respondents (54%) reported their practices systematically screen for FI and 71% reported food needs were "very important" for their patients and communities. Time and resource constraints were the most frequently cited barriers to screening for and addressing FI in practices based on survey results. Interview themes were categorized by screening and intervention procedures, community factors, patient factors, external factors, practice factors, process and implementation factors, and impact of FI screening and interventions. Time and resource constraints were a major theme in interviews, and factors attributed to rural practice settings included geographically large service areas, stigma from loss of privacy in small communities, and availability of food resources through farming. CONCLUSIONS: Rural primary care practices placed a high value on addressing food needs but faced a variety of barriers to implementing and sustaining FI screening and interventions. Strategies that utilize practice strengths and address time and resource constraints, stigma, and large service areas could promote the adoption of novel interventions to address FI.

Impact of COVID-19 pandemic on food availability and affordability: an interrupted time series analysis in Ghana.

BACKGROUND: In Africa, approx. 675 million people were at risk of food insecurity. COVID-19 pandemic is likely to have exacerbated this situation, by damaging populations' access to and affordability of foods. This study is aimed at estimating the impacts of the COVID-19 pandemic on availability and prices of essential food commodities at 20 large markets in Ghana. METHODS: Data on food availability and food retail prices collected through weekly market-level data during the period from July 2017 to September 2020 were used in this study. We performed interrupted time-series analyses and estimated the percentage increases between the observed and predicted food prices by food group and by region to assess the impact of COVID-19 pandemic on food prices. RESULTS: As a result, the impact of COVID-19 on food availability was limited. However, the results of interrupted time-series analyses indicate a significant increase in overall mean food prices in Greater Accra, Eastern and Upper East regions. It was also found that mean price of starchy roots, tubers and plantains significantly increased across regions. DISCUSSION: The impact of COVID-19 pandemic on food availability and prices was significant but varied by food type and regions in Ghana. Continuous monitoring and responses are critical to maintain food availability and affordability.

Predicting food insecurity among UK university students during the COVID-19 pandemic.

OBJECTIVE: The present study investigated potential predictors of food insecurity among UK university students during the COVID-19 pandemic. DESIGN: Close-ended questionnaire administered to a cross-sectional sample of UK university students. SETTING: Data were collected using an online survey platform in October 2020, during the COVID-19 pandemic. PARTICIPANTS: A nationally representative sample of UK university students (n 640). RESULTS: Odds ratios (OR) obtained from logistic regression were statistically significant for three measures of economic hardship. First, students who relied on financial aid from student loans were 1·9 times more likely to report being food insecure than students who did not rely on financial aid from student loans. Second, students who could not pay their utility bill (v. those that could pay) were 3·1 times the odds of being food insecure. Finally, as perceived difficulty in paying for accommodation increased across the sample, the odds of being food insecure also increased (OR = 1·9). We also found that students who were recently ill were 2·2 times more likely to be food insecure compared with students who were not recently ill. We did not find any evidence that testing positive for COVID-19 predicted food insecurity, and university supplied food parcels/boxes did not reduce student food insecurity. CONCLUSIONS: Both economic factors and illness play a significant role in self-reported food insecurity in higher education students during pandemic lockdown. Further research is needed to explore food insecurity, economic factors and illness outside of a pandemic context.

The Future of Plant-Based Diets: Aligning Healthy Marketplace Choices with Equitable, Resilient, and Sustainable Food Systems.

The future of plant-based diets is a complex public health issue inextricably linked to planetary health. Shifting the world's population to consume nutrient-rich, plant-based diets is among the most impactful strategies to transition to sustainable food systems to feed 10 billion people by 2050. This review summarizes how international expert bodies define sustainable diets and food systems and describes types of sustainable dietary patterns. It also explores how the type and proportion of plant- versus animal-source foods and alternative proteins relate to sustainable diets to reduce diet-related morbidity and mortality. Thereafter, we synthesize evidence for current challenges and actions needed to achieve plant-based sustainable dietary patterns using a conceptual framework with principles to promote human health, ecological health, social equity, and economic prosperity. We recommend strategies for governments, businesses, and civil society to encourage marketplace choices that lead to plant-rich sustainable diets within healthy, equitable, and resilient agroecological food systems.

Food Insecurity Is Associated with Diet Quality in Pregnancy: A Cross-Sectional Study.

Household food insecurity (HFI) and poorer prenatal diet quality are both associated with adverse perinatal outcomes. However, research assessing the relationship between HFI and diet quality in pregnancy is limited. A cross-sectional online survey was conducted to examine the relationship between HFI and diet quality among 1540 pregnant women in Australia. Multiple linear regression models were used to examine the associations between HFI severity (marginal, low, and very low food security compared to high food security) and diet quality and variety, adjusting for age, education, equivalised household income, and relationship status. Logistic regression models were used to assess the associations between HFI and the odds of meeting fruit and vegetable recommendations, adjusting for education. Marginal, low, and very low food security were associated with poorer prenatal diet quality (adj ß = -1.9, -3.6, and -5.3, respectively; p < 0.05), and very low food security was associated with a lower dietary variety (adj ß = -0.5, p < 0.001). An association was also observed between HFI and lower odds of meeting fruit (adjusted odds ratio [AOR]: 0.61, 95% CI: 0.49-0.76, p < 0.001) and vegetable (AOR: 0.40, 95% CI: 0.19-0.84, p = 0.016) recommendations. Future research should seek to understand what policy and service system changes are required to reduce diet-related disparities in pregnancy.

Social Determinants of Health and College Food Insecurity.

In recent years, many students have faced economic hardship and experienced food insecurity, even as universities strive to create more equitable pathways to college. There is a need for a more holistic perspective that addresses the complexity of food insecurity amongst college students. To this end, we examined the relationship between the social determinants of health, including college food insecurity (CoFI) and childhood food insecurity (ChFI), and their relationship with well-being measures. The study sample was a convenience sample that included 372 students at a public university who responded to an online survey in fall 2021. Students were asked to report their food security status in the previous 30 days. We used the following analytical strategies: chi-square tests to determine differences between food secure (FS) and food insecure (FI) students; binary logistic regression of CoFI on student demographics and ChFI; and ordinal or binary logistic regression for well-being measures. Black students, off-campus students, first-generation students, in-state students, and humanities/behavioral/social/health sciences majors were more likely to report CoFI. FI students were more likely to have experienced ChFI and to have lower scores on all well-being measures. ChFI was associated with four well-being measures and its effects were mediated by CoFI. College student health initiatives would benefit from accounting for SDOH, including ChFI experiences and its subsequent cumulative disadvantages experienced during college.

How does eligibility for GusNIP produce prescriptions relate to fruit and vegetable purchases and what factors shape the relationship? A protocol for a secondary analysis of nationally representative data in the USA.

INTRODUCTION: US Department of Agriculture (USDA) Gus Schumacher Nutrition Incentive Programme (GusNIP) produce prescription programme (PPR) 'prescriptions' provide eligible participants with low income, risk for diet-related chronic disease and food insecurity a healthcare issued incentive to purchase lower to no cost fruits and vegetables (FVs). However, GusNIP requirements specify that PPR prescriptions can only be redeemed for fresh (not frozen, canned or dried) FVs. This requirement may prevent participants from fully engaging in or benefiting from GusNIP PPR, given communities with lower healthy food access may have reduced fresh FV accessibility. METHODS AND ANALYSIS: We will use the nationally representative 2012-2013 National Household Food Acquisition and Purchase Survey (FoodAPS) and complementary FoodAPS Geography Component data in a secondary data analysis to examine how household GusNIP PPR eligibility relates to the quantity and variety of fresh, frozen, canned and dried FV purchases and to what extent individual, household and food environment factors shape the relationship. FoodAPS data include household food purchasing and acquisition information across a 7 day period from 14 317 individuals among 4826 households and was collected between April 2012 and January 2013. The FoodAPS Geography Component provides information about the local community/environment relative to FoodAPS households. This study will examine the correlation or association of selected variables between different quantities and varieties of fresh, frozen, canned and dried FVs, as well as correlations among multilevel predictors. ETHICS AND DISSEMINATION: We are following data integrity standards as outlined by agreements with the USDA Economic Research Service. All results of analyses will undergo a thorough disclosure review to ensure no identifiable data are shared. Results will be disseminated to research, practice and policy communities using an Open Access peer-reviewed manuscript(s), scientific and practice presentations, and a public facing report and infographic.

Associations between the objective and perceived food environment and eating behavior in relation to socioeconomic status among adults in peri-urban settings: results from the CIVISANO study in Flanders, Belgium.

Obesity, a significant public health concern, disproportionately affects people with lower socioeconomic status (SES). Food environments have been identified as part of the causal chain of this disparity. This study investigated variations in the food environment across groups with different SES profiles residing in peri-urban municipal settings. In addition, it examined the association of the perceived and objective food environments with eating behaviour and assessed if these associations were moderated by SES. Utilizing GIS and survey data (n = 497, aged 25-65), results showed differences in the objective and perceived food environments based on SES. Respondents with higher SES perceived their food environments as better but resided farther from all food outlets compared to respondents with lower SES. However, there was no difference in outlet density or mRFEI between SES groups. SES moderated associations between the objective and perceived food environments and most eating behavior outcomes except fast food consumption frequency. For fruits and vegetables, SES moderated the association between neighborhood availability and consumption frequency (ß0.23,CI0.03;0.49). Stratified analysis revealed a positive association for both lower (ß0.15, CI0.03;0.27) and higher (ß0.37, CI 0.12;0.63) SES groups. For snack foods, SES moderated the association between healthy outlet density and consumption frequency (ß-0.60, CI-0.94; -0.23), showing statistical significance only for respondents with higher SES (ß0.36,CI 0.18;0.55). Similarly, for sugar-sweetened beverages, a statistically significant interaction was observed between unhealthy outlet density in the 1000m buffer and consumption frequency (ß 0.06, CI 0.02; 0.11). However, this association was only statistically significant for respondents with higher SES (ß-0.02,CI -0.05;-0.0002). These results emphasize the significance of SES as a crucial element in comprehending the connection between the food environment and eating behaviour. Indicating the need for policymakers to take SES into account when implementing food environment interventions, particularly when focusing on the neighborhood food environment without considering residents' SES and their perceptions.

The effects of trade liberalization on inequality in nutrition intake: empirical evidence from Indian districts.

BACKGROUND: Despite the positive impact of trade liberalization on food availability in India, severe inequality in nutrition consumption at the district level persists. Empirical evidence on the relationship between trade liberalization and nutrition consumption inequality often offers a country-level perspective and generates disputed outcomes. The study aimed to explore the effects of trade liberalization on inequality in nutrition consumption at the district level in India and to examine the heterogeneity of the impact on different nutrition consumption. METHODS: Our study employed the Gini Index to measure nutrition consumption inequality of 2 macronutrients and 5 micronutrients at the district level in India during 2009-2011, utilizing the comprehensive FAO/WHO individual food consumption data. The import tariff was adopted as a proxy for trade liberalization, as its externally imposed nature facilitates a causal interpretation. We further identified the direct causal relationship between food trade liberalization and inequality in nutrition consumption using a fixed effects model. RESULTS: The results show that more than 50% of the individuals in the survey districts did not meet the dietary standards for both macronutrients and micronutrients. Food trade liberalization hindered the improvement of inequality in nutrition consumption. As import tariffs were reduced by 1%, the inequality in intake of calories, zinc, vitamin B1, and vitamin B2 increased significantly by 0.45, 0.56, 0.48, and 0.66, respectively, which might be related to food market performance. The results also highlight the positive role of the gender gap, female-headed households, and caste culture on inequality in nutrition consumption in India. CONCLUSIONS: To ease the shock of liberalization and minimize its inequality effects, complementary measures should be adopted, such as improving food logistic conditions in poor areas, and nutrition relief schemes.

Predicting the short and long term effects of food price inflation, armed conflicts, and climate variability on global acute malnutrition in Somalia.

BACKGROUND: Malnutrition poses a substantial challenge in Somalia, impacting approximately 1.8 million children. This critical issue is exacerbated by a multifaceted interplay of factors. Consequently, this study seeks to examine the long-term and short-term effects of armed conflicts, food price inflation, and climate variability on global acute malnutrition in Somalia. METHODS: The study utilized secondary data spanning from January 2015 to December 2022, sourced from relevant databases. Two distinct analytical approaches were employed to comprehensively investigate the dynamics of global acute malnutrition in Somalia. Firstly, dynamic autoregressive distributed lag (ARDL) simulations were applied, allowing for a nuanced understanding of the short and long-term effects of armed conflicts, food price inflation, and climate variability on malnutrition. Additionally, the study employed kernel-based regularized least squares, a sophisticated statistical technique, to further enhance the robustness of the findings. The analysis was conducted using STATA version 17. RESULTS: In the short run, armed conflicts and food price inflation exhibit positive associations with global acute malnutrition, particularly in conflict-prone areas and during inflationary periods. Moreover, climatic variables, specifically temperature and rainfall, demonstrate positive associations. It is important to note that temperature lacks a statistically significant relationship with global acute malnutrition in the short run. In the long run, armed conflicts and food price inflation maintain persistent impacts on global acute malnutrition, as confirmed by the dynamic ARDL simulations model. Furthermore, both temperature and rainfall continue to show positive associations with global acute malnutrition, but it is worth noting that temperature still exhibits a non-significant relationship. The results from kernel-based regularized least squares were consistent, further enhancing the robustness of the findings. CONCLUSIONS: Increased armed conflicts, food price inflation, temperature, and rainfall were associated with increased global acute malnutrition. Strategies such as stabilizing conflict-prone regions, diplomatic interventions, and peace-building initiatives are crucial, along with measures to control food price inflation. Implementing climate adaptation strategies is vital to counter temperature changes and fluctuating rainfall patterns, emphasizing the need for resilience-building. Policymakers and humanitarian organizations can leverage these insights to design targeted interventions, focusing on conflict resolution, food security, and climate resilience to enhance Somalia's overall nutritional well-being.

Qualitative Study of Food Insecurity in Hospitalized Pediatric Patients during the COVID-19 Pandemic.

OBJECTIVES: Food insecurity (FI) is defined as limited or uncertain access to sufficient food for a healthy and active lifestyle. Our objective was to explore how the coronavirus disease 2019 (COVID-19) pandemic affected the FI status of pediatric patients and their families through interviewing caregivers who screen positive for FI. METHODS: Caregivers of all hospitalized patients at a tertiary children's hospital who screen positive for FI with a two-question screening tool were approached about enrolling in the study. Those who consented completed a presurvey and participated in a semistructured individual interview. Interviews were audio recorded, transcribed, and analyzed according to the guidelines of thematic analysis using NVivo 12. RESULTS: Interviews were conducted with 15 caregivers between July 2021 and January 2022. Caregivers were 100% female and 80% Black, 13% White, and 7% Hispanic/Latinx, with a mean age of 33 years. Seventy-three percent did not experience FI until the COVID-19 pandemic. Themes include lost wages, mothers forced out of the workforce due to childcare limitations, inflation and shortages of goods, increased stress/anxiety for caregivers and children, the centrality of extended family support, and the necessity/inadequacy of federal food programs. CONCLUSIONS: The COVID-19 pandemic impacted unemployment and poverty and consequently exacerbated FI. Our findings point to the need to focus on proximal societal solutions, such as federal policies aimed at food assistance and childcare. Understanding the challenges related to FI that caregivers and patients experience can improve screening, support, and treatment of patients presenting for care and inform the design of necessary interventions for individuals and communities beyond COVID-19.

Benchmarking the university campus food environment and exploring student perspectives about food insecurity and healthy eating: a case study from Australia.

OBJECTIVE: To benchmark the university food environment and explore students' experiences with food insecurity and healthy eating in order to inform interventions to improve access and affordability of healthy foods for university students. DESIGN: A food environment audit was conducted on the university campus using the Uni-Food tool from April to May 2022 and was comprised of three main components, university systems and governance, campus facilities and environment, and food retail outlets. A qualitative study design was also used to conduct focus groups and semi-structured interviews with students to explore key themes regarding their experiences with food insecurity and healthy eating. SETTING: Macquarie University, Australia. PARTICIPANTS: For the food environment audit 24 retail outlets on campus and for the qualitative component 29 domestic and international students enrolled at Macquarie University. RESULTS: The university only scored 27% in total for all components in the food environment audit. The results showed the need for better governance and leadership of the food environment. The qualitative component suggested that the main barriers to accessing healthy foods were related to availability, pricing, and knowledge of healthy foods. Future intervention ideas included free fruits and vegetables, food relief, discounts, improved self-catering facilities, education, and increased healthy food outlets. CONCLUSIONS: Improving governance measures related to healthy eating on campus are a core priority to strengthen the food environment and students identified pricing and availability as key issues. These findings will inform effective and feasible interventions to improve food security and healthy eating on campus.

A comprehensive analysis of food insecurity in the drought-prone rural areas of Tigray.

BACKGROUND: The number of globally food-insecure people is increasing since 2017. Sub-Saharan Africa has the highest proportion of severely food-insecure people in the world. Tigray region of Ethiopia is one of the food-insecure regions, which, over the past many decades has been affected by recurrent food insecurities. In the drought-prone rural areas of Tigray, many people are living under the condition of chronic hunger. Proper food security studies are vital for proper intervention mechanisms. Yet, previous food security studies have rarely addressed the four pillars of food security: availability, access, utilization, and stability. In this study, all components are duly considered to assess the food insecurity status in the drought-prone rural areas of Tigray, Ethiopia. Of the 34 rural districts in Tigray, 363 households from three drought-prone rural districts were studied. RESULTS: Household Food Insecurity Access Scale and Food Insecurity Experience Scale were adapted to measure the food availability, access to food, and stability components of food security; and, Household Dietary Diversity Score (HDDS), Food Consumption Score (FCS), mid-upper arm circumference, and Bitot's spot were used to analyze the food utilization aspect. Findings show that 68% of the studied community frequently ate less food than they felt they needed and 82.1% of the households have experienced hunger because of lack of food. The study rural districts were unconnected to road networks; hence, 87.9% of the elderly and 20.4% of the women and girls had no access to food markets. Regarding the food utilization, 81.5% of the studied households had poor FCS; and the average HDDS and FCS for the study areas were 2.47 and 18.9, respectively. The prevalence of Global acute malnutrition, severe acute malnutrition (SAM), and moderate acute malnutrition (MAM) for 6-59 months of age children in the study areas were 50.3, 4.2, and 46.1%, respectively. More notably, the prevalence of SAM for children from the food-insecure households was 21.2%. The prevalence of MAM for pregnant and lactating women (PLW) in the study areas was 59.5. Further, the prevalence of Bitot's spot among 6-59 months of age children was 1.9%. On the other hand, all the rural households had anxiety about their future food demands. CONCLUSION: The rural households living in the studied areas were critically food-insecure. All the measurements implied that the food insecurity situation in the study areas was unacceptably worrisome and life-threatening. This calls for an instant action to avert the occurrence of famine and starvation in the drought-prone rural areas of Tigray region. Thus, interventions should primarily target the vulnerable rural people and need to be planned based on attaining food availability first rather than concurrently addressing all components of food security. Further, due emphasis should be given to diversifying livelihood strategies of the vulnerable villagers.

A surge in food insecurity during the COVID-19 pandemic in a cohort in Mexico City.

BACKGROUND: The COVID-19 pandemic has not only caused tremendous loss of life and health but has also greatly disrupted the world economy. The impact of this disruption has been especially harsh in urban settings of developing countries. We estimated the impact of the pandemic on the occurrence of food insecurity in a cohort of women living in Mexico City, and the socioeconomic characteristics associated with food insecurity severity. METHODS: We analyzed data longitudinally from 685 women in the Mexico City-based ELEMENT cohort. Food insecurity at the household level was gathered using the Latin American and Caribbean Food Security Scale and measured in-person during 2015 to 2019 before the pandemic and by telephone during 2020-2021, in the midst of the pandemic. Fluctuations in the average of food insecurity as a function of calendar time were modeled using kernel-weighted local polynomial regression. Fixed and random-effects ordinal logistic regression models of food insecurity were fitted, with timing of data collection (pre-pandemic vs. during pandemic) as the main predictor. RESULTS: Food insecurity (at any level) increased from 41.6% during the pre-pandemic period to 53.8% in the pandemic stage. This increase was higher in the combined severe-moderate food insecurity levels: from 1.6% pre-pandemic to 16.8% during the pandemic. The odds of severe food insecurity were 3.4 times higher during the pandemic relative to pre-pandemic levels (p<0.01). Socioeconomic status quintile (Q) was significantly related to food insecurity (Q2 OR = 0.35 p<0.1, Q3 OR = 0.48 p = 0.014, Q4 OR = 0.24 p<0.01, and Q5 OR = 0.17 p<0.01), as well as lack of access to social security (OR = 1.69, p = 0.01), and schooling (OR = 0.37, p<0.01). CONCLUSIONS: Food insecurity increased in Mexico City households in the ELEMENT cohort as a result of the COVID-19 pandemic. These results contribute to the body of evidence suggesting that governments should implement well-designed, focalized programs in the context of economic crisis such as the one caused by COVID-19 to prevent families from the expected adverse health and well-being consequences associated to food insecurity, especially for the most vulnerable.

[Food insecurity and household water insecurity: a population-based study in a municipality in the Amazon River basin, Brazil]. / Insegurança alimentar e insegurança hídrica domiciliar: um estudo de base populacional em um município da bacia hidrográfica do Rio Amazonas, Brasil.

This study analyzed food insecurity and associated factors in the urban area of a municipality in the Amazon River basin, Western Amazon. This is a cross-sectional population-based study conducted from August to November 2021 with 983 households selected by stratified probability sampling. A multinomial logistic regression model was used, adopting the following criteria: p-value < 20% in the bivariate analysis and p-value < 5% for the multivariate adjustment. The results of the analyses were described as odds ratio (OR) and 95% confidence interval (95%CI). The following variables were significantly associated with mild or moderate food insecurity: household water insecurity; number of residents ≥ 5 in the household; belonging to socioeconomic class D or E; having a father, mother or another as the head of the family; and having any resident as a beneficiary of the Brazilian Income Transfer Program. The analysis model for severe food insecurity showed that living with household water insecurity; belonging to socioeconomic class D or E; having a father, mother or another as the head of the family; age of the head of the family < 55 years; and family income lower that two minimum wages increased the chances of severe food insecurity when compared to those with food security. In conclusion, this study found a high prevalence of food insecurity in the Municipality of Itapiranga, State of Amazonas, North Region of Brazil, associated with social and economic vulnerability, lack of public services, and household water insecurity.

Este estudo analisa a insegurança alimentar e os fatores a ela associados na área urbana de um município na bacia hidrográfica do Rio Amazonas, Amazônia Ocidental. Trata-se de pesquisa transversal, de base populacional, realizada de agosto a novembro de 2021, com 983 domicílios selecionados por amostragem probabilística estratificada. Empregou-se o modelo de regressão logística multinomial, adotando-se os seguintes critérios: valor de p < 20% na análise bivariada e valor de p < 5% para o ajuste multivariado. Os resultados das análises foram descritos como odds ratios (OR) e intervalo de 95% de confiança (IC95%). Foram significantemente associadas à insegurança alimentar leve ou moderada as seguintes variáveis: insegurança hídrica domiciliar, número de moradores ≥ 5 no domicílio, pertencer à classe socioeconômica D ou E, ter pai, mãe ou outro, como chefe da família e ter algum morador beneficiário do Programa Bolsa Família. No modelo de análise para a insegurança alimentar grave constatou-se que viver em insegurança hídrica domiciliar, pertencer à classe socioeconômica D ou E, ter pai, mãe ou outro chefe da família, e tendo este menos que 55 anos, e renda familiar menor que dois salários mínimos aumentaram as chances de insegurança alimentar grave, comparativamente àqueles em segurança alimentar. Em conclusão, verificou-se alta prevalência de insegurança alimentar no Município de Itapiranga, Amazonas, Região Norte do Brasil, associada à situação de vulnerabilidade social e econômica, à falta de serviços públicos e à insegurança hídrica domiciliar.

Este estudio analiza la inseguridad alimentaria y los factores asociados, en el área urbana de un municipio de la cuenca hidrográfica del río Amazonas, Amazonia occidental. Se trata de una encuesta transversal, de base poblacional, realizada en el período de agosto a noviembre del 2021, con 983 hogares seleccionados mediante muestreo probabilístico estratificado. Se utilizó el modelo de regresión logística multinomial, adoptando los siguientes criterios: valor de p < 20% en el análisis bivariado y valor de p < 5% para el ajuste multivariado. Los resultados de los análisis se describieron como odds ratios (OR) e intervalo de 95% de confianza (IC95%). Las siguientes variables se asociaron significativamente con la inseguridad alimentaria leve o moderada: inseguridad hídrica en el hogar, número de residentes ≥ 5 en el hogar, pertenecer a la clase socioeconómica "D" o "E", tener padre, madre u otra persona como cabeza de familia y tener a algún residente como beneficiario del Programa Bolsa Familia. En el modelo de análisis para la inseguridad alimentaria severa se encontró que vivir en hogar con inseguridad hídrica, pertenecer a la clase socioeconómica D o E, tener padre, madre u otra persona como cabeza de familia, edad del jefe de familia < 55 años, y un ingreso familiar más bajo que dos salarios mínimos aumentó las probabilidades de sufrir inseguridad alimentaria grave, en comparación con aquellos en situación de seguridad alimentaria. En conclusión, se constató una alta prevalencia de inseguridad alimentaria en el Municipio de Itapiranga, en el interior del Amazonas, Región Norte de Brasil, asociada a la situación de vulnerabilidad social y económica, a la falta de servicios públicos y a la inseguridad hídrica de los hogares.

Fresh bell peppers consumed in cities: Unveiling the environmental impact of urban and rural food supply systems.

Agriculture and its supply chain pose significant environmental threats. This study employs Life Cycle Assessment (LCA) to explore the environmental impact of fresh bell pepper production and distribution, comparing Urban and Peri-Urban Agriculture (UPA) with Rural Long-Distance Food Supply Systems (RLDFS). Four UPA scenarios (hydroponics, soil-based greenhouse, open-field conventional, and organic) and two RLDFS scenarios (soil-based greenhouse and open-field conventional) are evaluated using SimaPro, incorporating inputs from UPA practitioners and rural farmers. Results reveal an energy demand range of 0.011 to 5.5 kWh/kg eq., with urban greenhouses exhibiting the lowest consumption and hydroponics the highest due to lighting, ventilation, and irrigation. Hydroponics exhibits a global warming potential of 7.24 kg of CO2 eq·kg-1, with energy demand contributing over 95 %, surpassing other scenarios by 7-25 times, necessitating reduction for sustainability. RLDFS's environmental impact is dominated by transportation (over 70 %), meanwhile other UPA systems are influenced by irrigation, infrastructure, and fertilizers. Despite challenges, UPA-hydroponics proves to be 1.7 to 4.3 times more land-use-efficient than other scenarios, emphasizing its potential. The study highlights the need to address electricity usage in UPA-hydroponics for carbon footprint reduction. Despite challenges, hydroponics could contribute to sustainable food security, and RLDFS does not significantly lag in environmental performance compared to UPA other than Ozone layer depletion criteria attributed to fossil fuel usage in transportation. These insights offer valuable guidance for urban development and policy formulation, promoting sustainable agricultural practices and supporting policies for agronomic and supply chain sustainability.

Local retail food environment exposure and diet quality in rural and urban adults: A longitudinal analysis of the ORISCAV-LUX cohort study.

Despite growing interest in understanding how food environments shape dietary behaviors, European longitudinal evidence is scarce. We aimed to investigate the associations of 9-year average and change in exposure to local retail food environments with the diet quality of residents in Luxembourg. We used data from 566 adults enrolled in both waves of the nationwide ORISCAV-LUX study (2007-2017). Dietary quality was assessed by the Diet Quality Index-International (DQI-I). Exposure to "healthy" and "less healthy" food outlets was assessed by both absolute and relative GIS-based measurements. The results showed a 56.3% increase in less healthy food outlets over the period. In adjusted linear mixed models, high (vs. low) 9-year average exposure to less healthy food outlets was associated with lower DQI-I, when examining spatial access (ß = -1.25, 95% CI: -2.29, -0.22) and proportions (ß = -1.24, 95% CI: -2.15, -0.33). Stratified analyses showed these associations to be significant only among urban residents. There was no association between change in exposure to less healthy food outlets and DQI-I. Increased exposure to healthy outlets in rural areas, using absolute measurements, was associated with worsened DQI-I. Neighborhood socioeconomic status did not moderate the above associations. Findings suggest that the proliferation of less healthy food outlets may have contributed to the deterioration of the diet quality of urban residents, and support the use of relative measurements to fully capture the healthiness of food environments.

A Cross-Sectional Study of Grocery Shopping Factors of Importance among Food-Insecure African Americans.

The objective of this study was to (1) assess via cross-sectional survey the prevalence of food insecurity among African Americans [AAs] after their most recent grocery shopping trip, and (2) examine the grocery shopping factors of importance and characteristics of food-insecure AA grocery shoppers. Most (70.4%) were food-insecure. Food-insecure grocery shoppers were significantly more likely to be younger, less educated, who often skipped meals and/or practiced fasting, accessed a food pantry, were SNAP recipients, were considered to not be in "good" health, and who had higher BMI compared to food-secure shoppers (p ≤ 0.03 * for all). Our data showed that AAs shopped for groceries a mean 2.20 ± 1.29 times per week, for low prices (72.1%), without a weekly budget (58.9%), with a grocery list (44.6%) or using an app (27.6%), for high-quality vegetables (27.5%), for good customer service (22.9%), for store brands (20.8%) and name brands (17.9%).Food-insecure shoppers were significantly more likely to grocery shop more times per week, have a weekly budget, and use an app, but were significantly less likely to report store brands, name brands, good customer service, and high-quality vegetables as grocery factors of importance (p ≤ 0.03 * for all). Grocery strategies such as shopping with a grocery app and/or grocery list could help food-insecure AAs reduce grocery trips, promote meal planning to save money, and avoid skipping meals/fasting, while eating healthier.

Food insecurity and perinatal depression among pregnant women in BUNMAP cohort in Ethiopia: a structural equation modelling.

OBJECTIVE: To assess the effect of food insecurity on perinatal depression in rural Ethiopia. DESIGN: We used a prospective cohort in which food insecurity was considered as primary exposure and perinatal depression as an outcome. Food insecurity at baseline (in the period of 8-24 weeks of pregnancy) was measured using the Household Food Insecurity Access Scale (HFIAS), and perinatal depression at follow-up (in 32-36 weeks of pregnancy) was measured using a Patient Health Questionnaire (PHQ-9). We used multivariable regression to assess the effect of food insecurity on the prevalence of perinatal depression. We explored food insecurity's direct and indirect impacts on perinatal depression using structural equation modelling (SEM). SETTING: This paper used data from the Butajira Nutrition, Mental Health and Pregnancy (BUNMAP) cohort established under the Butajira Health and Demographic Surveillance Site (BHDSS). PARTICIPANTS: Seven hundred and fifty-five pregnant women. RESULTS: Among the study participants, 50 % were food-insecure, and about one-third were depressed at 32-36 follow-up. In SEM, higher values of baseline food insecurity, depressive symptoms and state-trait anxiety (STA) were positively and significantly associated with perinatal depression. The direct impact of food insecurity on perinatal depression accounts for 42 % of the total effect, and the rest accounted for the indirect effect through baseline depression (42 %) and STA (16 %). CONCLUSION: The significant effect of food insecurity at baseline on perinatal depression and the indirect effect of baseline food insecurity through baseline anxiety and depression in the current study implies the importance of tailored interventions for pregnant women that consider food insecurity and psychosocial problems.