ABSTRACT
Indigenous communities in the North American Arctic are characterized by mixed economies that feature hunting, fishing, gathering, and trapping activities-and associated sharing practices-alongside the formal wage economy. The region is also undergoing rapid social, economic, and climate changes, including, in Canada, carbon taxation, which is impacting the cost of fuel used in local food harvesting. Because of the importance of local foods to nutrition, health, and well-being in Arctic Indigenous communities, there is an urgent need to better understand the sensitivity of Arctic food systems to social, economic, and climate changes and to develop plans for mitigating potential adverse effects. Here, we develop a Bayesian model to calculate the substitution value and carbon emissions of market replacements for local food harvests in the Inuvialuit Settlement Region, Canada. Our estimates suggest that under plausible scenarios, replacing locally harvested foods with imported market substitutes would cost over 3.1 million Canadian dollars per year and emit over 1,000 tons of CO2-equivalent emissions per year, regardless of the shipping scenario. In contrast, we estimate that gasoline inputs to harvesting cost approximately $295,000 and result in 315 to 497 tons of emissions. These results indicate that climate change policies that fail to account for local food production may undermine emissions targets and adversely impact food security and health in Arctic Indigenous communities, who already experience a high cost of living and high rates of food insecurity.
Subject(s)
Climate Change , Food Supply , Canada , Food Supply/economics , Humans , Climate Change/economics , Arctic Regions , Bayes Theorem , Carbon/metabolism , Indigenous Peoples , Food/economics , Carbon Dioxide/analysis , Carbon Dioxide/metabolismABSTRACT
BACKGROUND: The repercussions of food insecurity are widely recognized to negatively impact overall health and are influenced by a complex interplay of physiological, psychological, social, and environmental factors. METHODS: This study examined the disparities in food consumption and literacy between among food security households and food insecurity households using data from the Korea Rural Economic Institute's 2022 Consumer Behavior Survey for Food, which involved 3,321 respondents. RESULTS: Food security households had a greater understanding of and better attitude toward healthier food choices than food insecurity households. Economic ability was identified as having the most significant association with food purchasing behavior, with food security households spending more on average than food insecurity households. Structural equation modeling demonstrated the association of knowledge and attitude with dietary implementation and underscored the significance of consumer literacy as a factor related to willingness to pay for healthier foods. CONCLUSIONS: This study underscores the intertwined relationships among financial capacity, knowledge, and health-conscious dietary choices. It also suggests the need for targeted interventions addressing economic and educational gaps to foster healthier food consumption patterns across different socioeconomic contexts.
Subject(s)
Food Insecurity , Health Literacy , Humans , Female , Male , Adult , Republic of Korea , Middle Aged , Diet, Healthy/psychology , Diet, Healthy/economics , Surveys and Questionnaires , Consumer Behavior , Health Knowledge, Attitudes, Practice , Family Characteristics , Food Supply/economics , Socioeconomic Factors , Food Preferences/psychologyABSTRACT
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.
Subject(s)
COVID-19 , Food Insecurity , SARS-CoV-2 , Students , Humans , COVID-19/epidemiology , Students/statistics & numerical data , Students/psychology , Universities , Female , Male , Cross-Sectional Studies , United Kingdom/epidemiology , Young Adult , Surveys and Questionnaires , Adult , Pandemics , Adolescent , Food Supply/statistics & numerical data , Food Supply/economicsABSTRACT
OBJECTIVE: Improved food availability and a growing economy in Tanzania may insufficiently decrease pre-existing nutritional deficiencies and simultaneously increase overweight within the same individual, household or population, causing a double burden of malnutrition (DBM). We investigated economic inequalities in DBM at the household level, expressed as a stunted child with a mother with overweight/obesity, and the moderating role of dietary diversity in these inequalities. DESIGN: We used cross-sectional data from the 2015-2016 Tanzania Demographic and Health Survey. SETTING: A nationally representative survey. PARTICIPANTS: Totally, 2867 children (aged 6-23 months) and their mothers (aged 15-49 years). The mother-child pairs were categorised into two groups based on dietary diversity score: achieving and not achieving minimum dietary diversity. RESULTS: The prevalence of DBM was 5·6 % (sd = 0·6) and significantly varied by region (ranging from 0·6 % to 12·2 %). Significant interaction was observed between dietary diversity and household wealth index (Pfor interaction < 0·001). The prevalence of DBM monotonically increased with greater household wealth among mother-child pairs who did not achieve minimum dietary diversity (Pfor trend < 0·001; however, this association was attenuated in those who achieved minimum dietary diversity (Pfor trend = 0·16), particularly for the richest households (P = 0·44). Analysing household wealth index score as a continuous variable yielded similar results (OR (95 % CI): 2·10 (1·36, 3·25) for non-achievers of minimum dietary diversity, 1·38 (0·76, 2·54) for achievers). CONCLUSIONS: Greater household wealth was associated with higher odds of DBM in Tanzania; however, the negative impact of household economic status on DBM was mitigated by minimum dietary diversity.
Subject(s)
Diet , Family Characteristics , Malnutrition , Socioeconomic Factors , Humans , Tanzania/epidemiology , Female , Cross-Sectional Studies , Adult , Adolescent , Male , Middle Aged , Malnutrition/epidemiology , Malnutrition/economics , Young Adult , Diet/statistics & numerical data , Diet/economics , Infant , Prevalence , Mothers/statistics & numerical data , Food Supply/statistics & numerical data , Food Supply/economics , Health SurveysABSTRACT
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.
Subject(s)
COVID-19 , Commerce , Food Supply , Interrupted Time Series Analysis , Ghana/epidemiology , Humans , COVID-19/epidemiology , Food Supply/statistics & numerical data , Food Supply/economics , Commerce/statistics & numerical data , Commerce/economics , Food Insecurity/economics , Pandemics/economicsABSTRACT
Purpose: This study aimed to assess the reliability and validity of an online approach to monitoring food affordability in Ontario using the updated Ontario Nutritious Food Basket (ONFB).Methods: The ONFB was priced online in 12 large multi-chain grocery stores to test intra-/inter-rater reliability using percent agreement and intra-class correlations (ICCs). Then, the ONFB was priced in-store and online in 28 stores to estimate food price differences using paired t-tests and Pearson's correlation for all (n =1708) and matched items (same product/brand and purchase unit) (n = 1134).Results: Intra-/inter-rater agreement was high (95.4%/81.6%; ICC = 0.972, F = 69.9, p < 0.001). On average, in-store prices were less than $0.02 lower than online prices. There were no significant differences between mean in-store and online prices for all items (t = 0.504 p = 0.614). The mean price was almost perfectly correlated between in-store and online (fully matched: R = 0.993 p < 0.001; all items: R = 0.967 p < 0.001). Online monthly ONFB estimates for a family of four were strongly correlated (R = 0.937 p < 0.001) with estimates calculated using in-store data.Conclusions: Online pricing is a reliable and valid approach to food costing in Ontario that contributes to modernizing the monitoring of food affordability in Canada and abroad.
Subject(s)
Commerce , Internet , Ontario , Reproducibility of Results , Humans , Food Supply/economics , Food Supply/statistics & numerical data , Costs and Cost Analysis , Food/economics , Nutritive ValueABSTRACT
The article presents information reflecting current consideration of strategy of food production from position of of economic sustainability, ensuring population health through compliance of principles of food safety, accessibility and quality improvement. The organic food industry with systems of production, processing, distribution and retailing develops since the 1940s and has huge impact on strategies of food consumption by population, especially in high-income countries. The priorities, goals and objectives of development of organic production in the Russian Federation are targeted to ensure favorable state of environment and preservation of human health.
Subject(s)
Population Health , Humans , Russia , Food, Organic/economics , Food Safety , Food Supply/economicsABSTRACT
There is a natural relation between human health and the quality of their food and drinks, and elevating the quality input level of food production for all enterprises within the food supply chain system forms the foundation for preventing various potential food safety risks that may be encountered. Unlike the previous research on quality investment of food production by enterprises, this paper probes into the evolutionary routes of the behavior strategy selection of subjects in the food supply chain and the preconditions for the equilibrium points of the social co-governance system. It takes the approach of establishing a tripartite evolutionary game model of food suppliers, food manufacturers and consumers on the basis of the social co-governance framework, in view of the above, this paper focuses on the influence of the reputation mechanism and the market contracts among supply chain subjects on the selection of a behavior strategy for quality investment by enterprises under the condition of lawful regulation by government. The results show that every subject selects their own behavior strategy on the basis of the balance of their respective interests. The net disbursement incurred by enterprises for quality investment and the costs of participation in governance by consumers constitute the dominant factors that influence both enterprises' selection of a behavior strategy and the level of social co-governance. Compared with the increase in economic punishment imposed on suppliers for production of risky food raw materials, it is more efficient to control food safety risks by lowering the costs of quality investment by suppliers. Accordingly, this paper proposes advice on policy in an attempt to provide inspiration for preventing and controlling food safety risks.
Subject(s)
Food Safety , Food Supply , Game Theory , Humans , Food Supply/economics , Investments , Food Industry/economicsABSTRACT
With the development of low-carbon economy and the dominant position of retailers, through the establishment and comparison of three cooperative advertising models: model of supplier's independent advertising, model of supplier's independent advertising and model of retailer's and supplier's cooperative advertising, this paper studies the cooperative advertising decision-making of fresh agricultural products supply chain with two channels, and the demand of both channels is affected by the level of advertising investment, the proportion of advertising cost sharing and the efficiency of carbon emission reduction. The results show that when supplier and retailer adopt the two-way cooperative advertising mode, the demand and profit level of the two channels reach the optimal level. Numerical analysis shows that carbon emission reduction efficiency has an important impact on profits and market demand, which is closely related to cooperative advertising strategy.
Subject(s)
Advertising , Advertising/methods , Carbon/chemistry , Commerce , Agriculture/methods , Food Supply/economics , Food Supply/methods , Leadership , Models, TheoreticalABSTRACT
OBJECTIVES: While several food assistance programs in the United States tackle food insecurity, a relatively new program, "Food is Medicine," (FIM) initiated in some cities not only addresses food insecurity but also targets chronic diseases by customizing the food delivered to its recipients. This review describes federal programs providing food assistance and evaluates the various sub-programs categorized under the FIM initiative. METHODS: A literature search was conducted from July 7, 2023 to November 9, 2023 using the search term, "Food is Medicine", to identify articles indexed within three major electronic databases, PubMed, Medline, and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Eligibility criteria for inclusion were: focus on any aspect of the FIM initiative within the United States, and publication as a peer-reviewed journal article in the English language. A total of 180 articles were retrieved; publications outside the eligibility criteria and duplicates were excluded for a final list of 72 publications. Supporting publications related to food insecurity, governmental and organizational websites related to FIM and other programs discussed in this review were also included. RESULTS: The FIM program includes medically tailored meals, medically tailored groceries, and produce prescriptions. Data suggest that it has lowered food insecurity, promoted better management of health, improved health outcomes, and has, therefore, lowered healthcare costs. CONCLUSIONS: Overall, this umbrella program is having a positive impact on communities that have been offered and participate in this program. Limitations and challenges that need to be overcome to ensure its success are discussed.
Subject(s)
Food Insecurity , Humans , United States , Food Assistance/statistics & numerical data , Food Supply/statistics & numerical data , Food Supply/standards , Food Supply/economicsABSTRACT
Households with limited financial resources often struggle with inadequate access to healthy, affordable food. Community supported agriculture (CSA) has the potential to improve access to fresh fruits and vegetables, yet low-income households seldom participate due to cost and other barriers. Cost-offset (or subsidized) CSA reduces financial barriers, yet engagement varies widely among those who enroll. This scoping review explored factors associated with CSA participation among low-income households in the United States. Eighteen articles met the inclusion criteria, quantitative and qualitative data were extracted, the evidence was synthesized, and themes were developed. The findings suggested that women may be more likely than men to enroll in CSA. A lack of familiarity with CSA may hinder enrollment, whereas more education and self-efficacy for food preparation may facilitate participation. In terms of share contents, high-quality produce, a variety of items, more fruit, a choice of share contents, and a choice of share sizes may facilitate participation. In terms of CSA operations, a low price, good value, acceptance of Supplemental Nutrition Assistance Program (SNAP) benefits, close pick-up locations on existing travel routes, delivery of shares, clear communication, fostering a sense of belonging and trust, and educational support may support participation. Together these findings support 13 recommendations for cost-offset CSA implementation to engage low-income households.
Subject(s)
Agriculture , Family Characteristics , Poverty , Humans , Female , Fruit , Male , Food Supply/economics , United States , Vegetables , Food Assistance , Community ParticipationABSTRACT
Household food insecurity is associated with both low income and high cost of living, it is a potentially better measure for consumption compared to income. We use data on food insecurity and income from 10 years of the Canadian Community Health Survey (2007-2017) of single-person households (n = 145,044) to estimate the probability of being food insecure at the Canadian poverty thresholds (Market Basket Measure thresholds, or MBMs), and determine the income required to reach that probability in each MBM region, aggregated by province and rural/urban status. A regression model shows the probability of being food insecure at the MBM is approximately 30% which we call the Food Insecurity Poverty Line (FIPL). The income required to meet the FIPL is substantially different from the MBM, sometimes 1.25 times the MBM. This implies that food insecurity is a potential sentinel measure for poverty.
Subject(s)
Food Insecurity , Poverty , Rural Population , Urban Population , Humans , Canada , Poverty/statistics & numerical data , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Family Characteristics , Female , Male , Adult , Income/statistics & numerical data , Health Surveys , Middle Aged , Food Supply/statistics & numerical data , Food Supply/economicsABSTRACT
COVID-19 has a deep impact on the economic, environmental, and social life of the global population. Particularly, it disturbed the entire agriculture supply chain due to a shortage of labor, travel restrictions, and changes in demand during lockdowns. Consequently, the world population faced food insecurity due to a reduction in food production and booming food prices. Low-income households face food security challenges because of limited income generation during the pandemic. Thus, there is a need to understand comprehensive strategies to meet the complex challenges faced by the food industry and marginalized people in developing countries. This research is intended to review the agricultural supply chain, global food security, and environmental dynamics of COVID-19 by exploring the most significant literature in this domain. Due to lockdowns and reduced industrial production, positive environmental effects are achieved through improved air and water quality and reduced noise pollution globally. However, negative environmental effects emerged due to increasing medical waste, packaging waste, and plastic pollution due to disruptions in recycling operations. There is extensive literature on the effects of COVID-19 on the environment and food security. This study is an effort to review the existing literature to understand the net effects of the pandemic on the environment and food security. The literature suggested adopting innovative policies and strategies to protect the global food supply chain and achieve economic recovery with environmental sustainability. For instance, food productivity should be increased by using modern agriculture technologies to ensure food security. The government should provide food to vulnerable populations during the pandemic. Trade restrictions should be removed for food trade to improve international collaboration for food security. On the environmental side, the government should increase recycling plants during the pandemic to control waste and plastic pollution.
Subject(s)
Agriculture , COVID-19 , Food Security , Food Supply , Infection Control , Humans , Agriculture/economics , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/transmission , Environment , Food Supply/economics , Pandemics/prevention & control , Pandemics/economics , Recycling , SARS-CoV-2ABSTRACT
Introduction: The lack of access to a diverse and nutritious diet has significant health consequences worldwide. Governments have employed various policy mechanisms to ensure access, but their success varies. Method: In this study, the impact of changes in food assistance policy on food prices and nutrient security in different provinces of Iran, a sanctioned country, was investigated using statistical and econometric models. Results: Both the old and new policies were broad in scope, providing subsidized food or cash payments to the entire population. However, the implementation of these policies led to an increase in the market price of food items, resulting in a decline in the intake of essential nutrients. Particularly, the policy that shifted food assistance from commodity subsidies to direct cash payments reduced the price sensitivity of consumers. Consequently, the intake of key nutrients such as Vitamin C and Vitamin A, which are often constrained by their high prices, decreased. To improve the diets of marginalized populations, it is more effective to target subsidies towards specific nutrient groups and disadvantaged populations, with a particular focus on food groups that provide essential nutrients like Vitamin A and Vitamin C in rural areas of Iran. Discussion: More targeted food assistance policies, tailored to the specific context of each province and income level, are more likely to yield positive nutritional outcomes with minimal impact on food prices.
Subject(s)
Food Assistance , Iran , Humans , Food Assistance/economics , Food Assistance/statistics & numerical data , Nutrition Policy/economics , Financing, Government/statistics & numerical data , Financing, Government/economics , Food Supply/economics , Food Supply/statistics & numerical data , Diet/economics , Diet/statistics & numerical dataABSTRACT
The present study aims to analyze the trends in food price in Brazil with emphasis on the period of the Covid-19 pandemic (from March 2020 to March 2022). Data from the Brazilian Household Budget Survey and the National System of Consumer Price Indexes were used as input to create a novel data set containing monthly prices (R$/Kg) for the foods and beverages most consumed in the country between January 2018 and March 2022. All food items were divided according to the Nova food classification system. We estimated the mean price of each food group for each year of study and the entire period. The monthly price of each group was plotted to analyze changes from January 2018 to March 2022. Fractional polynomial models were used to synthesize price changes up to 2025. Results of the present study showed that in Brazil unprocessed or minimally processed foods and processed culinary ingredients were more affordable than processed and ultra-processed foods. However, trend analyses suggested the reversal of the pricing pattern. The anticipated changes in the prices of minimally processed food relative to ultra-processed food, initially forecasted for Brazil, seem to reflect the impact of the Covid-19 pandemic on the global economy. These results are concerning as the increase in the price of healthy foods aggravates food and nutrition insecurity in Brazil. Additionally, this trend encourages the replacement of traditional meals for the consumption of unhealthy foods, increasing a health risk to the population.
Subject(s)
COVID-19 , Commerce , Food , Pandemics , Brazil/epidemiology , COVID-19/epidemiology , COVID-19/economics , Humans , Pandemics/economics , Commerce/economics , Commerce/trends , Food/economics , SARS-CoV-2/isolation & purification , Food Supply/economicsABSTRACT
Over the past few years, food insecurity has been increasing globally due to the COVID-19 pandemic, climate change, economic downturns and conflict and a number of other intersecting factors. Older adults residing in low- and middle-income countries are more vulnerable to food insecurity. While the impacts of food insecurity on physical health outcomes have been thoroughly researched, the effect on mental health outcomes remains under-researched, especially among older adults. Hence, this systematic review aims to investigate existing literature to assess how food insecurity impacts the mental health of older persons residing in LMICs. A systematic search of six databases and Google for studies was conducted. The search was limited to studies written in English and published between 2000 to the present. We identified 725 studies, out of which 40 studies were selected for a full-text review and 12 studies were included for a final analysis. The significant finding in all the included studies was that food insecurity is associated with the worsening mental health of older adults. We also found a complex interplay of factors such as gender, age, rural/urban and health conditions associated with the aggravation of several mental health outcomes. The findings of this study illuminate the need for improved food programs to improve food security and, consequently, mental health among older adults.
Subject(s)
Developing Countries , Food Insecurity , Mental Health , Humans , Aged , COVID-19/epidemiology , COVID-19/psychology , COVID-19/economics , Male , Female , Food Supply/economics , PovertyABSTRACT
INTRODUCTION: Evidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region. METHODS: Transaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 ('lockdown'), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored. RESULTS: There were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only. DISCUSSION: Findings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.
Subject(s)
COVID-19 , Food Supply , Residence Characteristics , Humans , COVID-19/epidemiology , COVID-19/prevention & control , England/epidemiology , Cross-Sectional Studies , Food Supply/economics , Food Supply/statistics & numerical data , SARS-CoV-2 , Consumer Behavior/statistics & numerical data , Beverages/economics , Commerce/statistics & numerical data , Female , Food/economics , MaleABSTRACT
BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) plays a critical role in alleviating poverty and food insecurity. Despite these benefits, many older Americans who are eligible for SNAP do not participate in the program. Few studies have explored household factors and food insecurity outcomes associated with nonparticipation among older Black Americans. OBJECTIVES: The study aim was to explore changes in food insecurity and related financial hardship outcomes between 2020 and 2021 among SNAP participants, eligible nonparticipants, and ineligible nonparticipants; compare reasons for not participating in SNAP; and to compare household factors associated with SNAP nonparticipation. METHODS: Longitudinal design examining data from 2020 and 2021 to assess changes in food insecurity over the course of the coronavirus disease 2019 pandemic. PARTICIPANTS/SETTING: Participants were 528 adults (aged 30 to 97 years) in households randomly selected from a listing of all residential addresses in two predominantly Black neighborhoods with lower incomes in Pittsburgh, PA, and surveyed between March to May 2020 and May to December 2021. MAIN OUTCOME MEASURES: Food security was measured using the validated 6-item US Department of Agriculture Adult Food Security Survey Module. STATISTICAL ANALYSES PERFORMED: Findings are based on a descriptive analysis of food security and related indicators. Statistical testing was performed to assess differences between SNAP participation status and individual characteristics, food security, and financial hardship using Wald F test for continuous measures and Pearson χ2 test for categorical measures. A multivariable linear model was used to assess the association of SNAP participation and eligibility status with change in food insecurity. RESULTS: In cross-sectional analyses of 2021 data, no differences were observed between SNAP participants and eligible nonparticipants for food insecurity, food bank use, mean weekly food spending per person, and difficulty paying for basics. However, with respect to changes in food insecurity over the course of the pandemic, SNAP participants experienced a greater improvement in mean food security scores between 2020 and 2021 (-0.52 reduction in mean food insecurity score or a 16% improvement in food security; P ≤ 0.05) relative to SNAP-eligible nonparticipants. Perceived ineligibility (71.3%) and perceived lack of need (23%) were the most common reasons for not participating in SNAP. CONCLUSIONS: More than one-third of SNAP participants and eligible nonparticipants experienced food insecurity and financial hardship. However, there were differences in the changes in food insecurity between these groups.
Subject(s)
Black or African American , COVID-19 , Food Assistance , Food Insecurity , Poverty , Humans , Food Assistance/statistics & numerical data , Aged , Female , Male , Poverty/statistics & numerical data , Middle Aged , COVID-19/ethnology , COVID-19/epidemiology , Longitudinal Studies , Black or African American/statistics & numerical data , Aged, 80 and over , Adult , Residence Characteristics , Pennsylvania/epidemiology , SARS-CoV-2 , Food Supply/statistics & numerical data , Food Supply/economicsABSTRACT
BACKGROUND: This review was conducted to identify the impact of economic sanctions on household food and nutrition security and policies to cope with them in countries exposed to sanctions. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines 2020 were used to identify, select, appraise, and synthesize studies. Electronic databases in addition to Persian ones have been systematically searched for all related documents published until March 2022. Exclusion criteria were: lack of data related to food insecurity in countries subject to sanction and very low quality of the article. The quality of included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal checklists. The results were presented as qualitative and quantitative syntheses. RESULTS: Of 1428 identified studies, 36 publications remained in the review, which belong to Iran (n=8), Cuba (n=8), Russia (n=7), Iraq (n=7), and Haiti (n=6), respectively. Declining gross domestic product (GDP), devaluation of the national currency, and the quality of food, increase in inflation, unemployment, and consumer prices, infant and under 5 years mortality, energy, and protein deficiency, and the poverty rate were reported as sanction consequences. The most important strategies to improve food security were the humanitarian assistance provided by the international community (Haiti), equity and priority for vulnerable groups mainly by expanding the healthcare system (Cuba), adopting a food ration system in the oil-for-food program, and fixing the price of food baskets (Iraq), import substitution and self-sufficiency (Russia), support domestic production, direct and indirect support and compensation packages for vulnerable households (the approach of resistance economy in Iran). CONCLUSION: Due to the heterogeneity of studies, meta-analysis was not possible. Since inadequate physical and economic food access caused by sanctions affects especially disadvantaged and vulnerable groups, planning to improve food security and providing support packages for these groups seems necessary.