Food Insecurity Experience Scale Research Articles

Undernutrition and its determinants among under-five children in a tribal community of Meghalaya.

Malnutrition among under-five children is a rampant and major public health problem in developing countries. The paucity of studies on undernutrition among tribals made it imperative to determine the prevalence and the factors associated with undernutrition among the tribal under-five children. A community-based cross-sectional analytical study was conducted among 196 under-five children residing in the village under the rural field practice area of North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences (NEIGRIHMS), Meghalaya. Sociodemographic and clinical data were collected using a pretested semi-structured questionnaire, and burden of food insecurity was collected using the Food Insecurity Experience Scale Survey Module (FIES-SM). Anthropometric measurements, such as height, weight, and mid-upper arm circumference, were measured for all the children, and Z-scores were calculated for weight for age, height for age, and weight for height. Of the 196 children, the mean age of the children was 36.7 (15.3) months. The prevalence of underweight, stunting, and wasting was 9.2% (95% confidence interval (CI): 5.7%-14.3%), 28.6% (95% CI: 22.5%-35.5%), and 6.1% (95% CI: 3.3%-10.7%), respectively. There was a significant association for girls, birth weight, and age of the mother during first childbirth and immunization status with underweight. Similarly, there was a significant association for girls with wasting and education of the mother and birth weight with stunting. The prevalence of underweight wasting and stunting was lesser with an observable enhancement in the nutritional status of the children; however, the undernutrition status is still alarming, which warrants health and nutritional education along with behavioral change communication.

Informality, Food Insecurity and Intra-Household Resource Allocation: Evidence from Pakistan

The significance of employment in alleviating household poverty and enhancing overall well-being is widely acknowledged. In Pakistan, even with the notable growth in agricultural production, the country struggles with significant levels of food insecurity, affecting approximately 20.3 percent of the population, as indicated by a 2019 global report. This research investigates the impact of informal employment on the Food Insecurity Experience Scale (FIES) and the distribution of resources within households, including categories such as food, non-food items, education, and health. Utilizing data from the Household Integrated Economic Survey (HIES) conducted in 2018-19, fractional response and ordered logit models were employed to analyze the influence of informal employment on resource allocation across various categories and household food insecurity. The findings indicated that households headed by individuals in informal employment typically allocate a more significant portion of their budget to food and health than those in formal employment. Moreover, the impact of informal employment on non-food expenses appears limited, and households with informal workers demonstrate reduced spending on education compared to their formal counterparts. Additionally, the study highlights a higher probability of severe or moderate food insecurity levels in households headed by individuals in informal employment. Comprehending employment and household welfare dynamics necessitates a thorough understanding of intra-household dynamics. This research contributes valuable insights for policymakers, aiding in identifying critical areas for expanding social protection measures for informal workers.

Validation of the Malay version of Food Insecurity Experience Scale (M-FIES) using Rasch analysis

Introduction: Food security can be defined as the availability of and accessibility to food, acquired in an acceptable means at any given time and place in a way that could maintain health and wellbeing. One critical dimension of food security is continued access to adequate food. To measure this dimension, the Food and Agriculture Organization (FAO) developed the latest measurement tool, namely the Food Insecurity Experience Scale (FIES), the first instrument to measure people who experience food insecurity globally. This study aimed to validate the construct validity and reliability of the Malay version of FIES (M-FIES) for Malaysians. Methods: This cross-sectional study was conducted among 145 households in Kuantan, Pahang. Rasch analysis was used to analyse the construct validity of FIES. Results: FIES met the Rasch model assumptions with all items having an infit value of between 0.7- 1.3 and an outfit value of <2.0. The item and person reliability were 0.97 and 0.71, respectively; while the item and person separation were 5.59 and 1.58, respectively. The FIES item severity indicated that the items “few food”, “healthy”, “skipped”, “ate less”, and “runout” were disordered. Conclusion: The M-FIES is a valid and reliable measurement tool for the food insecurity situation among households based on its construct validity assessed using the Rasch model. Furthermore, the severity of item in M-FIES was different in terms of order from the original FIES, suggesting that the same items may be interpreted differently due to cultural or societal differences.

The double burden of COVID-19 and a major volcanic eruption on local food production and food security in a Small Island Developing State

IntroductionSmall Island Developing States have disproportionately high food insecurity rates, related to complex challenges and vulnerabilities. The COVID-19 pandemic highlighted that within these settings, crises often overlap. We aimed to assess the impact of the concurrent COVID-19 pandemic and volcanic eruption on food production and security in St. Vincent and the Grenadines (SVG).MethodsAn interpretive mixed-methods study was conducted among a convenience sample of consenting adults ≥18 years from 100 households in SVG through a cross-sectional survey and participant interviews (10 households) between September 2021 and March 2022. Food insecurity prevalence over the past year was assessed using the Food Insecurity Experience Scale (FIES; Rasch modeling) and impacts to livelihoods from the pandemic and volcanic eruption was assessed using an adapted Caribbean COVID-19 Food Security and Livelihoods Impact Survey (Caribbean COVID-19 FS&L Survey). Data were analyzed using logistic regression.ResultsDuring the pandemic, 59% of the participants reported decreased income, 63% had no access to markets, 81% had no access to food aid; 34% of the participants had a change in food sources, and 81% reported that food production was negatively impacted by the volcanic eruptions, of which 68% reported decreased food production. The interviews highlighted that access to markets were restricted by fear of leaving home and contracting the COVID-19 virus, and participants who received food aid stated that the number of items were not sufficient for larger families. Almost half of the participants were severely food insecure [48% (95% C.I. 31.2,57.8)]; almost two thirds were moderately to severely food insecure [64% (95% C.I. 50.0, 74.2)]; mean FIES score 5.31 (95% C.I. 5.0,5.6). After adjusting for gender, age, education, and household size, moderate to severe food insecurity was associated with no access to food aid during the pandemic and post-eruptions (odds ratio 3.7; 95% confidence interval 1.5, 9.1; p = 0.004).ConclusionFood insecurity rates were high during the COVID-19 pandemic, exacerbated by volcanic eruptions and insufficient access to food aid. Our results suggest the need for the development of strategies and interventions aimed at increasing the resilience of food systems to mitigate the effects of future disasters.

Financial Hardship on Food Security in Ageing Populations.

Objective: This study investigated the prevalence of food security, and the association of food security with financial hardship and socio-demographic characteristics among the ageing population in Thailand. Methods: The study extracted data on 1,197 persons age 60years or older from a nationally-representative sample survey of Thai households. The food security data were collected using the Food Insecurity Experience Scale (FIES), developed by the Food and Agriculture Organization. Multiple regression analysis was used to investigate the association between financial hardship, socio-demographic characteristics, and food security. Results: Of the total sample, 71% had food security. The least probability of having food security was observed in the respondents who sometimes and often had income problems (p < 0.001), and felt dissatisfied with their financial situation (p < 0.001). The respondents who were female, at oldest-old age, with lower than primary school education and in the Northeast were less likely to have food security. Conclusion: These findings suggest the need for government assistance for those who are experiencing financial hardship to help them manage their finances and food security more effectively, taking into account different socio-demographic characteristics.

Food insecurity, coping strategies, and resilience of agricultural cooperative members during COVID-19 in West Africa

BackgroundLockdown measures of COVID-19 have had different repercussions on the well-being of households in West Africa depending on their resilience capacity. This study compares the dynamic of households’ food insecurity during COVID-19 pandemic according to their membership in different types of agricultural cooperatives in four West African countries, namely Ghana, Mali, Ivory Coast, and Senegal.MethodologyWe used data collected from 1270 members of agricultural cooperatives and regression analyses, to understand the link between the nature of their cooperatives and the food insecurity dynamic of their household, while controlling for other sociodemographic characteristics. Cooperative were categorized either “active” or “poorly/not active” depending on their capacity to conduct initiatives that address the needs of their members, to maintain communication between leaders and members, the participation of members to decisions, and their possession of a good understanding of business management. Food insecurity is measured using the Food Insecurity Experience Scale (FIES) and the Coping Strategy Index (CSI). Respondents were asked to answer questions related to their food security status for the period before and during the pandemic.ResultsThe COVID-19 pandemic has adversely affected respondents' food security status. These effects varied according to the severity of sanitary measures implemented and to the dynamism of cooperatives. Households of poorly or not active cooperatives have experienced more food insecurity in Ivory Coast and Senegal than those who were members of active cooperatives; in Ghana the effects were significant but similar in both types of cooperatives. Members of both cooperatives in Mali appear to have been less affected than members in other countries. Furthermore, households of poorly/not active cooperatives have used more severe coping strategies in Ivory Coast, Ghana, and Senegal during the pandemic.ConclusionsStrong collaboration and support provided by cooperatives can contribute to increase the resilience capacity of their members to shocks such as the COVID-19 pandemic.

Examining the disparities: A cross-sectional study of socio-economic factors and food insecurity in Togo.

Despite many interventions, Togo continues to have one of the highest rates of poverty and food insecurity in the sub-Saharan African region. Currently there is no systematic analysis of the factors associated with household food-insecurity in this country. This study aimed at exploring the factors associated with food insecurity in Togo. This was a cross-sectional study that used data from five waves (2014 to 2018) of the Gallup World Poll (GWP) for Togo. Sample size included 4754 participants, aged 15 and above. Food insecurity was measured using the Food Insecurity Experience Scale (FIES) questionnaire as per the Food and Agricultural Organization (FAO) guidelines. Our outcome variable was food insecurity, categorized as: 1) food secure (FIES score = 0-3), moderately food insecure (FIES score = 4-6), and severely food insecure (FIES score = 7-8). We did descriptive and multinomial regressions to analyze data using Stata version 16. Between 2014 and 2018, the percentage of severe food insecurity fluctuated-42.81% in 2014, 37.79% in 2015, 38.98% in 2016, 45.41% in 2017, and 33.84% in 2018. Whereas that of moderate food insecurity increased from 23.55% to 27.33% except for 2016 and 2017 where the percentage increased to 32.33% and 27.46% respectively. In the logistic regression analysis, we found that respondents with lower than elementary education had a higher relative risk ratio of moderate (RRR = 1.45,95%CI = 1.22-1.72) and severe (RRR = 1.72, 95%CI = 1.46-2.02) food insecurity compared to those with secondary and higher education. Rural respondents had higher RRR of severe food insecurity (RRR = 1.37, 95%CI = 1.16-1.62) compared to those who lived in the urban areas. Compared with those in the richest wealth quintile, respondents in the poorest wealth quintile had 2.21 times higher RRR of moderate (RRR = 2.21, 95%CI = 1.69-2.87) and 3.58 times higher RRR of severe (RRR = 3.58, 95%CI = 2.81-4.55) food insecurity. About two-thirds of participants experienced some level of food insecurity in 2018. Lower levels of education, rural residency and poorer household wealth index areas were associated with a higher risk of food insecurity. National food security programs should focus on promoting education and improving socioeconomic condition of people especially in rural areas.

Prevalence and predictors of food insecurity among university students – Results from the Justus Liebig University Giessen, Germany

This study aimed to assess the prevalence and associated factors of food insecurity (FI) among university students in Germany during the COVID-19 pandemic. We conducted a cross-sectional study (n = 626) between November and December 2021 at the Justus Liebig University in Giessen, Germany, using an online questionnaire. The analysis of FI was based on the Food Insecurity Experience Scale (FIES) by the Food and Agriculture Organization (FAO). We statistically validated our data using the Rasch model. Moreover, demographic, socio-economic and educational variables were collected using a questionnaire developed by the Food Insecurity among European University Students during the COVID-19 Pandemic (FINESCOP) consortium. Overall, 27.5 % of the university students are food insecure. The proportion of university students experiencing moderate or severe food insecurity (FImod+sev) is 10.4 % and the proportion experiencing severe food insecurity (FIsev) 0.9 %. Results from a logistic regression showed that students have a higher chance to be food insecure if they were not born in Europe and if their parents have a secondary or lower educational level. We further found an association between age and FI. Also receiving a student loan during the pandemic and getting food assistance increased the likelihood of being food insecure. Our results show that FI is prevalent among this particularly vulnerable population group. Thus, public health, as well as policy efforts may need to become more target group-specific in accordance with the identified circumstances and specific characteristics to avoid that university students suffer from FI.

Socio-demographic, migratory and health-related determinants of food insecurity among Venezuelan migrants in Peru.

To evaluate the factors associated with food insecurity (FI) among Venezuelan migrants residing in Peru. Secondarily, to evaluate the psychometric properties of the Food Insecurity Experience Scale (FIES). A cross-sectional study based on secondary data analysis of the 2022 Venezuelan Population Residing in Peru Survey (ENPOVE-2022, from the Spanish acronym) was conducted. FI was measured with the FIES, whose properties were tested using the Rasch model. Multinomial logistic regression was performed to estimate relative prevalence ratios with their corresponding 95 % confidence intervals. This survey was conducted in February and March 2022 in the eight cities most populated by Venezuelan migrants and refugees in Peru. Venezuelan migrants and refugees over the age of 18 years living in Peru. A total of 7727 participants were included. Rasch reliability was adequate (0·73). The prevalence of mild, moderate and severe FI was 36·71 %, 31·14 % and 10·48 %, respectively. Being aged 25-34 and 35-44 years, unemployed, uninsured, having no formal education or secondary, illegal status, living in a dwelling with 2-4 and more than 4 people, presenting one or more than one chronic disease, residing in Peru for 0-6 months and perceived discrimination were associated with a higher probability of moderate FI. Furthermore, having secondary education, being unemployed, uninsured, never married, illegal, residing in Tumbes, presenting one or more than one chronic disease and perceived discrimination were significantly associated with severe FI. Four out of ten Venezuelan migrants residing in Peru presented moderate to severe FI. The FIES showed adequate psychometric properties. Differences in the socio-demographic, health and migratory factors associated with FI levels were found. Inter-sectoral and multi-sectoral interventions are needed and should be focused on addressing the determinants of FI.

A 5-year review of prevalence, temporal trends and characteristics of individuals experiencing moderate and severe food insecurity in 34 high income countries

BackgroundDue to the relatively low numbers of households in high income countries experiencing food insecurity most studies conflate the levels of severity, which masks between- and within-country differences. This study aims to describe the characteristics of individuals living in high income countries who were moderately or severely food insecure and investigates temporal trends in prevalence. It assesses these characteristics in comparison to those who were food secure.MethodsThis is a secondary analysis of data collected by the FAO Voices of the Hungry between 2014–2018. The data were collected during the annual Gallup World Polls of nationally representative samples using the Food Insecurity Experience Scale. Data from 34 highly developed, wealthy countries were analysed. The age, gender, income, education, area of residence and household structure of individuals experiencing moderate/severe food insecurity (FI), and severe FI, were compared using ANOVA, Welch’s F, Pearson’s Chi-square, and Linear-by-Linear Association, dependent on the variable of interest. Hierarchical cluster analysis was used to group countries according to their prevalence of moderate/severe FI, and severe FI.ResultsOverall, 6.5% of the weighted sample were moderately/severely food insecure (M-SFI), while 1.6% were severely food insecure. M-SFI individuals were present in all 34 countries, in all years and across all education levels and income quintiles. The proportion of individuals experiencing moderate/severe FI varied between years and countries. Fifteen countries showed a significant downward temporal trend in prevalence of moderate/severe FI (p < 0.001), while three countries demonstrated an increasing temporal trend driven by increasing prevalence in those aged 65 years or less (p < 0.001). Comparing individuals experiencing moderate versus severe FI showed over-representation of males, single adult households and lower household income in the severe FI group.ConclusionsIndividuals across all income, education and age categories living in high income countries are experiencing moderate/severe food insecurity, but with higher prevalence in those experiencing more disadvantage. Over the study period some countries experienced escalating while others demonstrated decreasing moderate/severe FI trends. This comparison of countries with similar economic and human development indices highlights an opportunity to investigate subtle variations in social, economic and education policy that could have profound impacts on food insecurity.

Prevalence and determinants of food insecurity among pregnant women in Nigeria: A multilevel mixed effects analysis.

Food insecurity (FI) remains a key priority for sustainable development. Despite the well-known consequences of food insecurity on health and well-being, evidence regarding the burden and determinants of FI among pregnant women in Nigeria is limited. Framed by the social-ecological model, this study aimed to determine the prevalence of FI, and its associations with individual-/household-level and contextual-level factors among pregnant women in Nigeria. A cross-sectional study based on the Nigerian Multiple Indicator Cluster Survey (2021 Nigerian MICS6) was conducted among a sample of 3519 pregnant women aged 15-49 years. Several weighted multilevel multinomial logistic regression models were fitted to assess the association between individual-/household-s level and community-level characteristics with FI. We estimated and reported both fixed effects and random effects to measure the associations and variations, respectively. Results: The prevalence of FI among pregnant women in Nigeria was high, with nearly 75% of the participants reporting moderate to severe FI in the past 12 months (95% CI = 71.3%-75.8%) in 2021. There were also significant differences in all the experiences of food insecurity due to lack of money or resources, as measured by the Food Insecurity Experience Scale (FIES), except for feeling hungry but not eating because of lack of money or resources (p < 0.0001). Multivariate analysis revealed that higher parity, households with 5 or more members, household wealth index, urban residence, and community-level poverty were significantly associated with FI. Our study demonstrates a significantly high prevalence of FI among pregnant women in Nigeria in 2021. Given the negative consequences of FI on maternal and child health, implementing interventions to address FI during pregnancy remains critical to improving pregnancy outcomes.

How Much Does the Food Insecurity Experience Scale Overlap with Poor Food Consumption and Monetary Poverty? Evidence from West Africa

Abstract The Food Insecurity Experience Scale (FIES), which combines three food-access dimensions into a single indicator, is rapidly being incorporated into national statistical systems. However, there is no prediction about how one of the incorporated dimensions—subjective experiences associated with food insecurity—overlaps with poor food consumption. Using data from West Africa, this study illustrates that in 4 out of 10 countries, there is a similar prevalence of food insecurity according to the FIES among segments of the population that are likely undernourished and segments that are likely not undernourished. And in 5 out of 10 countries, there is a relatively large prevalence of food insecurity according to the FIES in the segments of the population that are least likely to be undernourished. Combined, the results offer guidance to policymakers when choosing food-access indicators and illustrate the importance of using the FIES along with other food-access measures.

Determinants of the food insecurity at household level in Pakistan: A multilevel model approach.

Food insecurity is a major concern for the developing world and around 37% of the population of Pakistan is food insecure. This paper utilizes the Food Insecurity Experience Scale (FIES) to assess the population prevalence of food insecurity and to identify their risk factors and determinants at the household level in Pakistan. This study employs a multi-level random coefficient model, using the Pakistan Panel Household Survey (PPHS-2010) dataset; representative data from 4,130 households. Factors like; income of the household, gender, education, household size, land ownership, and shocks of food insecurity allow the incidence of idiosyncratic shocks (injuries and/or casualties) at the community level, which affects the food insecurity situation of the community, rather differently were included. The study confirms a statistically significant inverse relationship between household income, household size, and household head education with food insecurity and a positive association of shocks and inflation with food insecurity at the household level. Specifically, with increasing per capita income of the household, food insecurity declines (coefficient: -0.083, statistically significant at 1%) and food insecurity increases with shocks (coefficient: 0.058, statistically significant at 1% significance level). The study also reveals a significant heterogeneity at a one percent significance level in the determinants of food insecurity at the district, community, and household levels. The income of the household, household head gender and education level, household size, household assets, shocks, injuries, and inflationary pressure are important determinants of food insecurity in Pakistan.

Association between household food security and infant feeding practices among women with children aged 6-23 months in rural Zambia.

Infant and young child feeding (IYCF) practices directly affect the nutritional status of children under two years of age, ultimately impacting their survival. However, ensuring that newborns and young children are fed according to the WHO-recommended practice has proven to be a challenge in many developing nations, especially in households that face food insecurity. This study aims to determine the association between IYCF practices and household food security's availability and access dimensions in rural Zambia. The study uses data from a cross-sectional survey of 2,127 mother-child pairs drawn from 28 rural districts in 8 out of the 10 Zambian provinces. Logistic regression analysis was used to examine the association of minimum dietary diversity, minimum meal frequency, and minimum acceptable diet with measures of household food security such as household dietary diversity score, and food insecurity experience scale, while controlling for confounding variables. The results show that children living in households classified as being food-secure based on the household dietary diversity score were significantly more likely to achieve appropriate feeding practices on all three IYCF measures, even after controlling for confounding factors. Notably, poor IYCF practices exist even in food-secure households, as most children in these households still need to receive a minimum acceptable diet. Although living in a household classified as food secure based on the access dimensions of household dietary diversity score and food insecurity experience scale is significantly associated with improvements in all three IYCF indicators even after controlling for confounding factors, the relationship does not hold for the availability measure of months of adequate household food provisioning. These findings highlight the need for targeting specific dimensions of household food security to solve child malnutrition, especially in rural areas. The focus should go beyond basic food availability, ensuring adequate diversity, and enhancing knowledge of appropriate feeding practices.

Determinants of Individual Worries on Food Insecurity in Afghanistan

According to the United Nations (UN), more than 30 per cent of the world’s population experienced food insecurity moderately or severely in 2020 and Sustainable Development Goal 2 clearly claims to end hunger by 2030. Afghanistan within those regions with severe food insecurity has become prominent as both environmental deterioration due to climate change and ongoing conflict affects this situation twice as much. Using Food Insecurity Experience Scale (FIES-2018) data that was provided by Food and Agriculture Organization of the United Nations (FAO), this paper provides evidence on the determinants of individual worry on having enough food with a sample of 998 individuals through a probit model. Findings reveal that having a college degree significantly reduces the probability of being worried not to have enough food. Further, living in a rural area increases this probability, while being in a richer income quintile and having one more adults in the household decreases it. Empirical evidence of this research suggests a few policy implications. Education should be generalised in the society; and production techniques in the rural areas should be improved to increase the level of production and to save the environment. These efforts might increase the wage level that would help to increase household income to alleviate food insecurity.

Food Insecurity and Perceived Effects of COVID-19 on Livelihoods in Rural Sri Lanka.

Little is known about how the COVID-19 pandemic has affected food security and livelihoods in Sri Lanka. This article aims to assess food insecurity, perceived effects of COVID-19, and coping mechanisms among agriculture-based households in rural Sri Lanka. We used 2 rounds of panel data from phone surveys (n = 1057 households) conducted in 5 districts. Food insecurity (30-day recall), perceived impacts of COVID-19 (6-month recall), and coping mechanisms (6-month recall) were assessed using a household questionnaire. To assess food insecurity, we used the 8-item Food Insecurity Experience Scale. We tested for differences between T1 (baseline: December 2020-February 2021) and T2 (follow-up: July 2021-September 2021) and explored the association between food insecurity and the perceived effect of COVID-19 on income using a logistic regression model. Food insecurity was highly prevalent (T1: 75%, T2: 80%) but varied across districts. Most respondents were affected by COVID-19 and/or COVID-19-associated mitigation measures (T1: 84%, T2: 89%). Among affected households, commonly reported impacts included those on income (T1: 77%, T2: 76%), food costs (T1: 84%, T2: 83%), and travel (∼90% in both rounds). Agricultural activities were also adversely affected (T1: 64%, T2: 69%). About half of COVID-19-affected households reported selling livestock or assets to meet basic needs. Households whose income was impacted by COVID-19 were more likely to be food insecure (adjusted odds ratio: 2.56, P < .001). Households in rural Sri Lanka experienced food insecurity and livelihood disturbances during the COVID-19 pandemic. Additional surveys are needed to assess recovery post-COVID-19 and to understand if programs that support livelihoods have been protective.

Risk Factors for Food Insecurity among Older Adults in India: Study Based on LASI, 2017-2018.

Food security is linked to the nutritional status and well-being of older adults. India is a rapidly aging nation that ranks highly on the 2022 Global Hunger Index. This paper examines the prevalence and risk factors of food insecurity in India's older population. We used data from the 2017-2018 Longitudinal Aging Study in India. The sample size was 31,532 adults aged 60 years and above. Food insecurity was measured using a four-item version of the Food Insecurity Experience scale. Multivariable logistic regressions using individual-level weights were implemented to assess the risk factors of food insecurity. The prevalence of food insecurity was 10.5% in the weighted sample. Sociodemographic factors were important in explaining food insecurity. Older adults who were male, younger, lowly educated, socially disadvantaged, in rural areas, and outside the Northern region were most vulnerable to food insecurity, controlling for various confounders. Additionally, low economic status, no occupational pension, currently working, social isolation, physical impairment, functional disabilities, poor self-rated health, and arthritis were associated with an increased risk of food insecurity. More active food assistance programs catering to older adults and a better provision of economic and social security are warranted to establish a food-secure environment for rapidly aging India.

Evidences of Widespread Hunger in Gbeo Community, North East Region, Ghana; the Determinants of Malnutrition and Susceptibility to Extreme Hunger

Background: The global community aspires towards zero hunger and minimized prevalence of various metrics of malnutrition by 2030 and beyond. Despite mainstream routine nutrition/food surveillance interventions carried out by provincial, national and civil society bodies, the markers of global hunger are rife. This study sought to investigate with the aid of household food insecurity experience scale (HFIES) and nutrition indices, the evidence of hunger, child malnutrition and other forms of extreme household deprivation in Gbeo; a rural hard-to-reach community in the Mamprugu East Municipality, North East Region. Methods: This study was a case analysis of Gbeo community using cross-sectional modalities. Mother – child dyads from 235 systematically selected households were recruited for one-on-one interviews including anthropometric/dietary assessments. Data were obtained on household hunger (using HFIES as proxy), child (6 – 59 months) malnutrition and their potential predictors (SE characteristics, IYCF, WASH, etc.). Child anthropometric growth indices were computed in accordance with WHO (2017) revised standard protocols. Findings: Out of 235 children 34.4% were stunted, 18.8% underweight and 37.9% wasted; these are elevated above Ghana Demographic and Health Survey (GDHS) data for Northern Region, Ghana as a whole and WHO/UNICEF/World Bank (2021) latest global estimates. Four (1.8%) children had all growth failure and in 5.6% of cases, underweight co-occur with stunting and wasting. The proportion of HHs in the 3rd tertile [T3], 2nd tertile [T2] and 1st tertile [T1] of food insecurity were 33%, 29% and 38% respectively. Multiple logistic regression models showed that mean HFIES scores were higher among households that; has a female food-based decision maker [t (degrees of freedom=1, n=235) = 1.93, significance level p =.000], have not received any form of remittances within the past 12 months [t (1, 235) = 2.65, p = .016], source their food stuffs from predominantly purchasing [t (1, 235) = 2.65, p = .009] and has a caregiver or household head that is an alcoholic [t (1, 235) = 4.01, p = .000]. Conclusion: Food insecurity predicts acute child malnutrition. Social protection and economic empowerment interventions should be integrated with nutrition-based initiatives for holistic household improvement.

Burnout, COVID-19, social support and food insecurity in health workers

Abstract Objective To evaluate the prevalence of risk for Burnout Syndrome among health professionals in areas of care for patients with COVID-19, as well as to verify possible associations of the syndrome with the perceived social support and food insecurity of these workers. Methods: Analytical cross-sectional study, with workers from intensive care units (ICU) and wards caring for patients with COVID-19, in a university hospital. Data collection was carried out from September to October 2021, using the instruments: Maslach Burnout Inventory (MBI-HSS), Multidimensional Perceived Social Support Scale and Food Insecurity Experience Scale (FIES). Statistical analysis used Poisson regression models and multiple Poisson regression, considering statistically significant differences and associations if p&lt;0.05. Results: A total of 75 workers from three wards (48%) and from one ICU (52%) participated in the survey, and the professionals are mostly female (89.3%), trained as health care technicians (66.7%). Regarding the risk of Burnout Syndrome, 26.7% of the workers had scores for at least one dimension of the scale, mainly referring to high emotional exhaustion (20%). There was a positive association between the risk of developing Burnout Syndrome and food insecurity (PR = 1.11; 95%CI = (1.04; 1.18); p = 0.002). The number of children was significantly negatively associated with the incidence of Burnout Syndrome (PR = 0.90; 95%CI = (0.83; 0.97); p = 0.008). Conclusion: Positive associations were observed with a higher risk of BS in professionals with food insecurity and also that the number of children acts as a protective factor against the risk of Burnout Syndrome, which may be directly related to perceived social support.

Burnout, COVID-19, social support and food insecurity in health workers

Objective: To evaluate the prevalence of risk for Burnout Syndrome among health professionals in areas of care for patients with COVID-19, as well as to verify possible associations of the syndrome with the perceived social support and food insecurity of these workers. Methods: Analytical cross-sectional study, with workers from intensive care units (ICU) and wards caring for patients with COVID-19, in a university hospital. Data collection was carried out from September to October 2021, using the instruments: Maslach Burnout Inventory (MBI-HSS), Multidimensional Perceived Social Support Scale and Food Insecurity Experience Scale (FIES). Statistical analysis used Poisson regression models and multiple Poisson regression, considering statistically significant differences and associations if p&lt;0.05. Results: A total of 75 workers from three wards (48%) and from one ICU (52%) participated in the survey, and the professionals are mostly female (89.3%), trained as health care technicians (66.7%). Regarding the risk of Burnout Syndrome, 26.7% of the workers had scores for at least one dimension of the scale, mainly referring to high emotional exhaustion (20%). There was a positive association between the risk of developing Burnout Syndrome and food insecurity (PR = 1.11; 95%CI = (1.04; 1.18); p = 0.002). The number of children was significantly negatively associated with the incidence of Burnout Syndrome (PR = 0.90; 95%CI = (0.83; 0.97); p = 0.008). Conclusion: Positive associations were observed with a higher risk of BS in professionals with food insecurity and also that the number of children acts as a protective factor against the risk of Burnout Syndrome, which may be directly related to perceived social support.