Degree Of Food Insecurity Research Articles

Abstract B173: Evaluating the role of language, age, nativity, spoken English comprehension, education level and employment status on degree of food insecurity among urban low- income, food-insecure cancer patients participating in a food insecurity RCT

Abstract Food insecurity (FI), the household-level economic and social condition of limited access to food, hinders a person’s ability to obtain high-quality health care. Chronic diseases worsen the detrimental effects of FI for several reasons, including treatment-cost financial burden and side effects that impede adequate food consumption. In some U.S. studies, an estimated 17% to 55% of patients reported FI following a cancer diagnosis. FI is highest among females, Hispanics, younger populations, unemployed individuals, and those with lower household incomes. However, there is insufficient literature exploring the link between various sociodemographic factors and the degree of FI in patients with cancer. This study evaluated the association between language, age, nativity, spoken English comprehension, education, employment, and degree of FI in breast and gynecological cancer patients enrolled, at the beginning of their cancer treatment, in a FI intervention RCT. Methods: A cross-sectional survey was conducted with patients recruited from 5 safety net cancer clinics in Bronx, NY, from 2019 to 2024. All participants were food insecure, measured using the U.S. Household Food Security 18-item Survey Module; participants were characterized as having either low food security (LFS, scores 3-7) or very low food security (VLFS, scores 8-18). We collected patient's preferred language, age, nativity, spoken English comprehension, highest education level achieved, and employment status at the start of their cancer treatment. Pearson’s Chi-squared tests (for categorical variables) and t-tests (for continuous variables) were used to evaluate FI association. Results: Of the 378 participants evaluated, 72.5% (N=274) reported LFS and 27.5% (N=104) VLFS. The median age was 57 years; 59.3% (N=211) of participants were foreign-born and 40.7% (N=145) US-born; 62.7% (N=237) preferred English and 37.3% (N=141) preferred Spanish; 59.7% (N=222) understood spoken English “Very well”, and 40.3% (N=150) “Well, Not well, or Not at all”. For education, 27.4% (N=101) completed primary school or less, 32.8% (N=121), secondary or high school or GED, 19.2% (N=71), some college or Associate degree, and 20.1% (N=74), Bachelor’s degree or higher. Preferred language was significantly associated with the degree of FI (p = 0.028), with LFS more likely among English-speaking participants. Additionally, there was an association between younger age and an increased likelihood of experiencing VLFS (p=0.004). There were no significant associations between nativity (p=0.738), spoken English comprehension (p=0.146), education (p=0.457), employment (p=0.530), and degree of FI. Conclusions: These findings highlight the complex and multifaceted nature of food security status among breast and gynecological cancer patients with FI, emphasizing the need for further research to understand and address the specific challenges faced by different demographic groups of patients with cancer, when providing food security support in their cancer care. Citation Format: Maria E Valentin-Figueroa, Carmen G. Macias Gualpa, Anagha Kakade, Maria Claros, Ashley Rodriguez, Francesca Gany. Evaluating the role of language, age, nativity, spoken English comprehension, education level and employment status on degree of food insecurity among urban low- income, food-insecure cancer patients participating in a food insecurity RCT [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B173.

Food insecurity and dietary diversity among food aid recipients in urban and rural areas at the covid‐19 outbreak: An exploratory study

AbstractThe covid‐19 pandemic has affected food aid. This paper reports an exploratory study to estimate the prevalence and degree of food insecurity, household dietary diversity score (HDDS), and the association with demographic, social, and economic characteristics of health status in a sample of food aid recipients in urban and rural areas of Catalonia, Spain. Cross‐sectional data on food insecurity, dietary diversity, household income, health, and sociodemographic characteristics were obtained from the survey taken at seven different food aid distribution points from urban and rural locations. Sixty‐six percent of the participants identified as new users since the covid‐19 crisis. Only 12.5% of the sample lived in households where all adults were unemployed, and 44.8% were employed. Almost a third of the sample (32.3%) reported having someone in their household who suffered from a diet‐related illness or disease. The prevalence of severe food insecurity was 52.1%, followed by 28.1% suffering moderate food insecurity. New food aid users due to covid‐19 pandemic showed a significantly higher prevalence of food insecurity. No significant differences were found in terms of HDDS. This paper provides evidence that much of the gap in food insecurity is related to dietary diversity and children in households considering different urban or rural areas.

Household food security and dietary diversity in south-eastern Nigeria.

The aim of this study was to investigate household food security (access) level and the dietary diversity of households in the Nsukka Local Government Area in South-eastern Nigeria. From 20 local communities of Nsukka, 390 women were randomly sampled from the women's group and asked to complete a survey that determined the Household Food Insecurity Access Scale scores and the Household Dietary Diversity Scores (HDDS). The descriptive results indicated a high level of food insecurity with 82.6% households reporting various degrees of food insecurity. Over half of the sampled population experienced insufficient food quality. They either ate unwanted food (65.9%), limited variety (63.1%), or unpreferred food (64.6%). Some households experienced insufficient food intake by going a whole day without food (38.2%), go to sleep hungry (45.1%), or have no food of any kind (49%). The analysis of variance showed no significant difference (p = 0.428) in the food security level of households headed by males as compared with those headed by females. Approximately 53.6% of households fell at or below the average HDDS; males headed 48% of these households, while females headed 64%. The chi-square test indicated factors associated with household food security including age, education, work status and income, whereas the gender of the household head, household size and marital status were not significantly associated. Public-private partnerships, nutrition orientation and food intervention programs could improve food security in this area.

Regional disparities in food security and depression among single-person households in the Republic of Korea

BackgroundSingle-person households constitute over 40% of all households in the Republic of Korea and are more vulnerable to food insecurity and depression than multi-person households. There is a lack of research on examining whether regional characteristics are associated with the degree of food insecurity and depression among single-person households. This study aimed to examine the regional disparities in food security and depression among single-person households in the Republic of Korea.MethodsA total of 227,873 adults from the 2019 Korean Community Health Survey was included in the analysis. According to population density and poverty rate, the residence of the participants was classified into four regions: metropolitan areas with high population density were classified into areas with low poverty rates (Region 1) and high poverty rates (Region 2), and provinces with low population density were classified into areas with low poverty rates (Region 3) and high poverty rates (Region 4). Using a single item of household food security, those who had experienced a lack of food due to financial difficulties over the past year were classified as food insecure. Depression was measured using the Patient Health Questionnaire-9. Odds ratios and 95% confidence intervals (CI) for the risk of food insecurity and depression according to regional characteristics were calculated after adjusting for potential confounding variables.ResultsAfter adjusting for confounding variables, single-person households in regions with high population density, Regions 1 and 2, had 1.16 times (95% CI = 1.04–1.30) and 1.43 times (95% CI = 1.27–1.61) higher odds of food insecurity, respectively, compared to those in Region 4. Single-person households in regions with low poverty rates, Regions 1 and 3, had 1.54 times (95% CI = 1.34–1.77) and 1.21 times (95% CI = 1.01–1.46) higher odds of depression, respectively, than those in Region 4. Among those who lived alone, the middle-aged, having low income, receiving livelihood benefits, or having a low educational attainment had higher odds of experiencing both food insecurity and depression than their counterparts.ConclusionsAs the risk of food insecurity and depression in single-person households differs according to regional characteristics, local governments need to implement policies for single-person households in consideration of these distinct characteristics.

Food Insecurity During the First Year of COVID-19: Employment and Sociodemographic Factors Among Participants in the CHASING COVID Cohort Study.

While much has been reported about the impact of the COVID-19 pandemic on food insecurity, longitudinal data and the variability experienced by people working in various industries are limited. This study aims to further characterize people experiencing food insecurity during the pandemic in terms of employment, sociodemographic characteristics, and degree of food insecurity. The study sample consisted of people enrolled in the Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study from visit 1 (April-July 2020) through visit 7 (May-June 2021). We created weights to account for participants with incomplete or missing data. We used descriptive statistics and logistic regression models to determine employment and sociodemographic correlates of food insecurity. We also examined patterns of food insecurity and use of food support programs. Of 6740 participants, 39.6% (n = 2670) were food insecure. Non-Hispanic Black and Hispanic (vs non-Hispanic White) participants, participants in households with children (vs no children), and participants with lower (vs higher) income and education levels had higher odds of food insecurity. By industry, people employed in construction, leisure and hospitality, and trade, transportation, and utilities industries had the highest prevalence of both food insecurity and income loss. Among participants reporting food insecurity, 42.0% (1122 of 2670) were persistently food insecure (≥4 consecutive visits) and 43.9% (1172 of 2670) did not use any food support programs. The pandemic resulted in widespread food insecurity in our cohort, much of which was persistent. In addition to addressing sociodemographic disparities, future policies should focus on the needs of those working in industries vulnerable to economic disruption and ensure those experiencing food insecurity can access food support programs for which they are eligible.

Urban food systems: Factors associated with food insecurity in the urban settings evidence from Dessie and Combolcha cities, north-central Ethiopia

In Ethiopia, food security and vulnerability assessments have traditionally focused on rural areas. Recently, the issue of urban food security has been attracting attention in global policy debates. However, limited studies are found in the study areas that link food insecurity with major food market chains in the urban food system settings. This study is therefore, aimed at measuring the status of food insecurity in the urban food systems. A mixed study design has been used with randomly selected 506 resident households in Dessie and Combolcha cities, of north-central Ethiopia. We used a pre-tested, semi-structured survey questionnaire to collect quantitative data. The qualitative data has been collected with key informant interview, and focus group discussion among food system actors and facilitators in the selected commodities. We applied Household Food Insecurity Access Scale (HFIAS) to measure the food security status and narration and summarization techniques to analyze the qualitative data. The study confirmed that 33.1% of the respondents were food insecure. Moreover, nine and six individuals per 100 people were forced to ‘sleep hungry’ and ‘not eat in the whole day and night’ respectively. Households' food insecurity was significantly associated with the gender of the household head, participation in casual labor, and living house ownership. The degree of food insecurity was deemed to be higher due to weak food system governance, an inconsistent food supply chain, and socio-economic and gender inequalities. However, both formal and informal food systems have their own unique qualities and maximum food security benefit can be achieved if they are well integrated. This implies food security intervention in urban areas needs to refocus their strategies towards systematic and integrated approaches that can promote social security programs like: urban housing, job security, urban agriculture and inclusive food safety net programs. Moreover, multidimensional studies are still important to obtain a wider picture of sustainable urban food security in urban areas and to better integrate the formal and informal food systems.

The National Wealth Score in the Brazilian National Survey on Child Nutrition (ENANI-2019).

The National Wealth Score (IEN) is a synthetic household index that assesses socioeconomic conditions. This study aims to present the methods used to update the IEN using data from the Brazilian National Survey on Child Nutrition (ENANI-2019). The following items were included: the education level of the mother or caregiver of the child; the number of bedrooms and bathrooms, TV sets, and cars in the household; and the presence of a radio, refrigerator or freezer, washing machine, microwave oven, telephone line, computers, air conditioner, media player devices, cable or satellite TV, cell phone ownership and type of service, cell phone internet, and internet at the household. Principal component analysis (PCA) was used to estimate the IEN with and without incorporating the complex sampling design (CSD). Thus, the IEN validation considered proxy indicators of socioeconomic status and living conditions. The first component of the PCA explained 31% and 71% of the variation with and without incorporating the CSD, respectively. The coefficients of variation of the IEN were 53.4% and 2.6% with and without incorporating the CSD, respectively. The mean IEN score was lower in households without access to a sewage system, those that received benefits from Brazilian Income Transfer Program, those with some degree of food insecurity, and those with stunted children. Adding ENANI-2019 items to the calculation of IEN to capture technological advances resulted in a better fit of the model. Incorporating the CSD increased PCA performance and the IEN precision. The new IEN has an adequate performance in determining the socioeconomic status of households with children aged under five years.

Household living conditions and food insecurity in Nigeria: a longitudinal study during COVID-19 pandemic

ObjectiveThis study set out to investigate the risk of household food insecurity in Nigeria during the novel COVID-19 pandemic using a harmonised dataset of Nigeria’s prepandemic face-to-face survey and two...

Food insecurity as a risk factor for obesity: A review.

Obesity is considered a 21st-century epidemic and it is a metabolic risk factor for Non-Communicable Diseases such as cardiovascular diseases, type 2 diabetes, metabolic syndrome, hypertension, some types of cancer, among others. Thus, its prevention and treatment are important public health concerns. Obesity within the context of food insecurity adds an additional layer of complexity to the current obesity epidemic. Efficient policies and interventions ought to take into consideration the effects of food insecurity on the risks of developing obesity among food insecure households. This review aims to analyze the recent available evidence around the obesity – food insecurity paradox. Most of the literature has consistently shown that there is a significant association between food insecurity and obesity, specifically in women of high-income countries. However, mechanisms explaining the paradox are still lacking. Even though researchers have tried to analyze the issue using different individual and societal variables, these studies have failed to explain the mediatory mechanisms of the food insecurity–obesity relationship since the proposed mechanisms usually lack strength or are purely theoretical. The research focus should shift from cross-sectional models to other research designs that allow the exploration of pathways and mechanisms underlying the food insecurity and obesity relationship, such as longitudinal studies, which will hopefully lead to consecutive research testing the effectiveness of different approaches and scale up such interventions into diverse contexts among those affected by obesity and the different degrees of food insecurity.

Niveles de inseguridad alimentaria y características asociadas en mujeres gestantes de Colombia en el 2015

IntroductionFood insecurity is the inability of households to acquire safe, nutritionally adequate food that meets physiological needs for leading a healthy and active life. ObjectiveTo describe the levels of food insecurity and associated factors in pregnant women in Colombia. MethodologyCross-sectional-analytical study; is a secondary analysis of the 2015 Nutritional Situation Survey of Colombia. 1393 pregnant women between 12 and 48 years old were examined. Food insecurity was assessed using the Latin American and Caribbean Food Security Scale. Sociodemographic, anthropometric and micronutrient characteristics were evaluated. The description of food insecurity distribution was made for each of the selected variables, through absolute and percentage frequencies. To estimate the association between the different variables and food insecurity, we used multivariate Poisson regression models. Results60.4% (CI95% 55.6%–64,7%) of pregnant women resided in homes with some degree of food insecurity; severe: 9.4% (CI95% 7.4%–11.9%), moderate: 17.6% (CI95% 13.5%–22.8%) and light: 33.2% (CI95% 28.9%–37.8%); we found that Black/Mulatto/Afro-descendant pregnant women (PR 1.22 CI95% 1.01–1.47), belong to quartile 1 of wealth (PR 2.23 CI95% 1.41–3.68), and residing in the región Atlántica (PR 1.34 CI95% 1.08–1.67), was associated with some food insecurity level. ConclusionA high proportion of pregnant women living in households with some food insecurity level. The pregnant women of low socioeconomic levels and those belonging to the black/mulatto/Afro-descendant ethnic group showed to be the main characteristics associated with residing in households with some degree of food insecurity.

Mental distress and food insecurity in pregnancy.

Food insecurity is a source of daily stress, especially in women. The aim was to investigate the association between mental distress and food insecurity in pregnant women. Cross-sectional study with pregnant women from the public health service, regardless risk stratification, or gestational trimester in Colombo-PR, Brazil. Poisson regression models were progressively adjusted for exposure variables. Results: Among the participating pregnant women (N=513) the prevalence of mental distress was 50.1%; associated with mild food insecurity (PR 1.34, 95%CI 1.12; 1.61) and moderate/severe food insecurity (PR 1.70, 95%CI 1.33; 2.19). The variable that most changed the association between the outcome and mild food insecurity was income (-4.48%) and, for moderate/severe food insecurity, education (-7.60%). For mild and moderate/severe food insecurity, the greatest reduction occurred with socioeconomic variables 4.5% (PR 1.27, 95%CI 1.05; 1.53) and 8.0% (PR 1.50, 95% CI 1.17; 1.93), respectively. The association between food insecurity and mental distress was consistent, and increased with the degree of food insecurity, with a greater reduction for socioeconomic variables.

Dietary diversity and food security status among heart failure patients in the north of Iran

BackgroundDietary diversity score (DDS) is an indicator for assessing nutritional adequacy. Food security is another important measure in nutrition field which can be associated with several cardiovascular risk factors. Considering the importance of nutrition in heart failure (HF) patients, this study was designed to evaluate the DDS and food security of patients with HF.MethodsA total of 200 HF patients were enrolled. DDS was evaluated using valid and reliable food frequency questionnaire and was calculated by scoring food intakes as 5 main groups. Household food insecurity access scale was applied to assess food security status. Data were analyzed using descriptive statistics, Chi-square and Kruskal-Wallis tests and multiple logistic regression models.ResultsThe mean age of patients was 65 (standard deviation: 12) years and 59% of patients were male. Median of DDS was 1.96 (range: 0.29 to 6.12). Adjusted odds of greater DDS (> = median of 2) was 2.58 times higher for patients without hypertension than for patients with hypertension (95%CI: 1.31–5.08, P = 0.006). Also, odds of greater DDS were more in ex-smokers’ patients when compared to non-smokers (adjusted odds ratio (AOR): 2.70, 95%CI: 1.27–5.75, P = 0.010), patients with supplement use (AOR: 2.42, 95%CI: 1.16–5.05, P = 0.019), patients with lower total cholesterol level (AOR: 1.01, 95%CI: 1.00–1.02, P = 0.051), and patients with higher ejection fraction (AOR: 1.03, 95%CI: 1.00–1.05, with borderline.P = 0.073). About 57% of patients had experienced degrees of food insecurity as mild (26%), moderate (16%) and severe (15%). On the other hand, women (AOR: 1.90, 95%CI: 0.90–3.71, with borderline P = 0.061) and patients with middle (AOR: 3.48, 95%CI: 1.79–6.76, P < 0.001) or high (AOR: 20.32, 95%CI: 2.56–161.19, P = 0.004) socio-economic status were more likely to be food secure or mild insecure. Also, no relation between DDS and food security was found (r = − 0.08, P = 0.262).ConclusionThis study found that HF patients had a low DDS and more than half of the patients were food insecure to some extents.

P36 The Impact of COVID-19 on Food Security Status and Food Access Among SNAP-Eligible Utahns

<h3>Background</h3> COVID-19 has the potential to impact the health of individuals experiencing food insecurity and reduced food access. A national collaboration examined this impact across the United States, including Utah. <h3>Objective</h3> The objective of this study was to explore the effect of COVID-19 on perceived food access challenges, barriers, and compensatory strategies among SNAP-eligible Utahns. <h3>Study Design</h3> A 76-item survey was emailed to all SNAP-eligible Utahns (N = 24,763) in July 2020. The USDA's 6-item Food Security Module was used to determine food security prior to and since COVID-19. Additional questions asked about food access and eating/purchasing behaviors. Participants (n = 521) were predominately White (75%) females (77%). <h3>Measurable Outcome/Analysis</h3> Level of agreement for using compensatory food access strategies was summed (score range: 7-42; higher scores reflecting increased use) and assessed for mean differences using ANOVA based on food insecurity classification. Rating scales were used to measure food access challenges and barriers to using nutrition assistance (4-5 item scales) during COVID-19. Spearman correlations examined associations between challenges/barriers and degree of food insecurity. <h3>Results</h3> Of participants (n = 358) who were food insecure, 74% were White and 77% were female. Food insecure individuals prior to and since COVID-19 were more likely than food secure participants to use compensatory strategies to ensure food affordability during COVID-19 (mean score = 30 vs 26, respectively; <i>P</i> = 0.002). Degree of food insecurity was associated with barriers to using nutrition assistance, including difficulty traveling to apply/recertify (r = 0.24; <i>P</i> < 0.001) and frequency of experiencing food access challenges during COVID-19 (r = 0.16-0.33; <i>P</i> ≤ 0.002). <h3>Conclusion</h3> Challenges with food access and barriers to utilizing nutrition assistance during COVID-19 are associated with food insecurity among SNAP-eligible individuals, potentially resulting in reliance upon more compensatory food affordability strategies. Efforts should be taken to minimize these barriers to ensure adequate food quantity and quality among food insecurity individuals.

Food Insecurity, Food Environment and Obesity Among Urban School-Aged Children in Queretaro, Mexico

Abstract Objectives To evaluate the relationship between food insecurity, food environment and obesity in school-aged children in Queretaro. Methods In this cross-sectional study, weight, height and body fat % (BF%) were measured in 122 school-aged children (8.1 ± 1.5 y) from an urban area in Queretaro, Mexico. Additionally, household food insecurity was assessed using the Latin American and Caribbean Food Security Scale (ELCSA). Geolocation data of both food establishments (FE) and participants’ households (HH) were collected and uploaded into a GIS database. The distance to the closest FE within a 300 m radius from each participant's household was calculated using GIS. FE were categorized as follows: (1) FEPF, which mainly sold processed foods (e.g., convenient stores); and (2) FEnPF, which mainly sold non-processed foods (e.g., fruterías – only fruits and vegetables). Univariate analysis was used to assess the interaction of BF%, food insecurity and FE categories using SPSS v23.0. Results Almost half of the children showed high BF% (48%), while 43% lived in HH with some degree of food insecurity. Children in moderately/severely food insecure HH and who lived close to FEnPF had significantly lower BF% (18.9 ± 4.7%), compared to children in food secure HH (24.4 ± 2.5%) or HH experiencing mild food insecurity (25.0 ± 2.6%) (P &amp;lt; 0.05). However, children in moderately/severely food insecure HH, who lived close to FEPF had significantly higher BF% (29.4 ± 2.7%), compared to those experiencing mild food insecurity (23.7 ± 1.5%), or who were food secure (22.8 ± 1.1%) (P &amp;lt; 0.05). Conclusions Children living in moderately/severely food insecure HH showed an opposite BF% pattern when compared to those in food secure or mildly food insecure HH, depending on how close they live to FE that either mainly sold processed foods or unprocessed foods, indicating the potential relationship of food environment to childhood obesity mediated by food insecurity. Funding Sources Partially funded by FOFI, UAQ.

PANDEMIC-INDUCED LOCKDOWN'S SHOCK TO HOUSEHOLD LEVEL FOOD SECURITY

The impact of the lockdown induced by the COVID-19 pandemic was devastating for the farm as well as the non-farm sectors of the Indian economy. Even though many authors expressed the apprehensions of hunger, and journalistic accounts of hunger appeared in newspapers, very few studies were undertaken to investigate the nature and extent of lockdown-induced food insecurity experienced by the households and understand the household management strategies adopted by those households. This study was undertaken in a village located in the Birbhum district of West Bengal during the unlock-I phase to fill the above-stated gap. Data for this study were collected from 40 households using a standardized tool known as the Household Food Insecurity Access Scale (HFIAS), and a semi-structured questionnaire. Results showed that inaccessibility of food was experienced by the households in three domains- anxiety and uncertainty (82.5% households), unsatisfactory quality (100% households), and insufficient quantity (77.5% households). However, quantitative scale scores of food insecurity showed that none of the households experienced the highest possible degree of food insecurity. The public distribution system and mid-day-meal programs were most effective in reducing the food insecurity of many families, but the level of support extended was not enough. More than half of the households reported a reduction in animal protein consumption, higher expenditure on vegetables and fruits, and an increase in taking loans. Based on the findings of the study, two specific suggestions were provided for facilitating the management of disruptions caused by lockdown-like emergency conditions.

Food insecurity and its association with obesity and cardiometabolic risks in Mexican women

Objective: we conducted a systematic review of the main scientific evidence that associates food insecurity with a higher frequency of obesity and cardiometabolic risks in Mexican women. Design: a systematic review. Data sources: MEDLINE, Embase, CINAHL Plus, Web of Science, CAB Abstracts and PAIS Index. Selection criteria: articles that met the journal quality criteria and integrated food status with health insecurity, in which the situation of vulnerability in the current statistics for cardiometabolic diseases and risks that are associated with food insecurity was shown in women and their homes. Data analysis: relevance and quality of the results regarding food security, the presence of overweight and obesity, and socio-environmental indicators in women. Results: households headed by women who are at higher risk of having some degree of food insecurity or food assistance associated with the presence of obesity and overweight (RR = 1.28 to 2.97; 95 % CI: 1.08-1.44 to 1.52-6.14) as well as the development of cardiometabolic diseases such as diabetes mellitus (with a history of pregnancy as risk factor for developing diabetes and hypertension) presenting premature labor, shorter stature in the adult stage, a deficiency in micronutrients such as iron and antioxidant vitamins. Conclusion: the evidence found shows an association of food insecurity as found in women and their homes with a greater risk of being overweight and obese, as well as the development of a cardiometabolic disease (diabetes, hypertension), in addition to anemia and vitamin deficiency.

Food Insecurity among Small-Scale Farmers in Poland

The problem of food insecurity is generally associated with developing countries, but at the household level it also occurs in developed countries, especially in socially vulnerable groups, such as small-scale farms. However, the issue of food insecurity in developed countries, especially at the household level, is rather neglected in the scientific literature. This study was conducted to fill this gap and examine the level of food insecurity among small-scale farms in Poland. Data were collected using a structured questionnaire from 710 small-scale farms in Poland. The incidence and degree of food insecurity was measured with the Household Food Insecurity Access Scale (HFIAS). The study found that about 43% of the respondents were exposed to food insecurity, including almost 9% to severe food insecurity, which is well above the average for the entire Polish population. By applying cross-tabulation and the zero-inflated Poisson regression model, the study found that the higher age and secondary or higher education of the farm manager, having children in the household and higher land productivity have a statistically significant negative influence on households’ food insecurity (i.e., decreased HFIAS score). On the contrary, family size of five or more and production type “permanent crops” and “dairy cows” have a statistically significant positive influence on households’ food insecurity (i.e., increased HFIAS score).

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua.

We identified clusters of multiple dimensions of poverty according to the capability approach theory by applying data mining approaches to the Cuatro Santos Health and Demographic Surveillance database, Nicaragua. Four municipalities in northern Nicaragua constitute the Cuatro Santos area, with 25,893 inhabitants in 5,966 households (2014). A local process analyzing poverty-related problems, prioritizing suggested actions, was initiated in 1997 and generated a community action plan 2002–2015. Interventions were school breakfasts, environmental protection, water and sanitation, preventive healthcare, home gardening, microcredit, technical training, university education stipends, and use of the Internet. In 2004, a survey of basic health and demographic information was performed in the whole population, followed by surveillance updates in 2007, 2009, and 2014 linking households and individuals. Information included the house material (floor, walls) and services (water, sanitation, electricity) as well as demographic data (birth, deaths, migration). Data on participation in interventions, food security, household assets, and women's self-rated health were collected in 2014. A K-means algorithm was used to cluster the household data (56 variables) in six clusters. The poverty ranking of household clusters using the unsatisfied basic needs index variables changed when including variables describing basic capabilities. The households in the fairly rich cluster with assets such as motorbikes and computers were described as modern. Those in the fairly poor cluster, having different degrees of food insecurity, were labeled vulnerable. Poor and poorest clusters of households were traditional, e.g., in using horses for transport. Results displayed a society transforming from traditional to modern, where the forerunners were not the richest but educated, had more working members in household, had fewer children, and were food secure. Those lagging were the poor, traditional, and food insecure. The approach may be useful for an improved understanding of poverty and to direct local policy and interventions.

Food availability and food insecurity in households in the state of Tocantins, Northern Brazil

ABSTRACT Objective To assess the relationship between food availability, food insecurity and socioeconomic and demographic characteristics of households in the urban area of the state of Tocantins. Methods Population-based, cross-sectional study conducted in 594 households in the urban area of 22 municipalities in the state of Tocantins. A survey was carried out in the households, to collect socioeconomic and data, and assess food insecurity using the Brazilian Food Insecurity Scale. Further a food availability questionnaire was applied by the interviewer with the head of the family, who reported on the food and drinks available at home in the last 30 days. The description of the food available in the households resulted in a total of 142 food items that were grouped according to the NOVA classification of foods. demographic Results It was found that 63.3% of households were in a situation of food insecurity. The median caloric availability found was 2,771.4kcal/per capita/day, with the largest caloric contribution coming from fresh and minimally processed foods, regardless of the degree of food insecurity. Food availability was affected by socioeconomic vulnerability and the situation of food insecurity in the families.

How do context variables affect food insecurity in Mexico? Implications for policy and governance.

To assess, from a systems perspective, how climate vulnerability and socio-economic and political differences at the municipal and state levels explain food insecurity in Mexico. Using a cross-sectional design with official secondary data, we estimated three-level multinomial hierarchical linear models. The study setting is Mexico's states and municipalities in 2014. Heads of households in a representative sample of the general population. At the municipal level, vulnerability to climate disasters and a poverty index were significant predictors of food insecurity after adjusting for household-level variables. At the state level, gross domestic product and the number of nutrition programmes helped explain different levels of food insecurity but change in political party did not. Predictors varied in strength and significance according to the level of food insecurity. Findings evidence that, beyond food assistance programmes and household characteristics, multiple variables operating at different levels - like climate vulnerability and poverty - contribute to explain the degree of food insecurity. Food security governance is a well-suited multisectoral approach to address the complex challenge of hunger and access to a nutritious diet.