Individual Characteristics and National Income Modify the Association between Cognitive Social Capital and Food Insecurity: Evidence from the Gallup World Poll, 2014-2021.

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.

Gender-based differentials in food insecurity and wellbeing in Arab countries

SummaryBackgroundLevels of child malnutrition and hunger across the world have decreased substantially over the past century, and this has had an important role in reducing mortality and improving health. However, progress has stalled. We examined whether family policies (eg, cash transfers from governments that aim to support households with children) are associated with reduced food insecurity.MethodsIn this observational analysis, we used a dataset of individual-level data that captured experience-based measures of food insecurity and sociodemographic characteristics collected by the Gallup World Poll in 142 countries for 2014–17. We then combined this dataset with indicators of the type and generosity of family policies in these countries, taken from the University of California, Los Angeles’ World Policy Analysis Center. We used multilevel regression models to examine the association between the presence of family policies for households with children and the probability of reporting moderate or severe food insecurity or severe food insecurity (moderate or severe food insecurity was defined as a “yes” response to at least four of eight questions on the Gallup Food Insecurity Experience Scale, and severe food insecurity was defined as a “yes” response to at least seven questions). We controlled for multiple covariates, including individual-level measures of social position and country-level measures, such as gross domestic product. We further examined whether this association varied by household income level.FindingsUsing data from 503 713 households, we found that, on average, moderate or severe food insecurity is 4·09 percentage points (95% CI 3·50–4·68) higher in households with at least one child younger than 15 years than in households with no children and severe food insecurity is 2·20 percentage points (1·76–2·63) higher. However, the additional risk of food insecurity among households with children is lower in countries that provide financial support (either means-tested or universal) for families than for countries with little or no financial assistance. These policies not only reduce food insecurity on average, but they also reduce inequalities in food insecurity by benefiting the poorest households most.InterpretationIn some countries, family policies have been cut back in the past decade and such retrenchment might expose low-income households to increased risk of food insecurity. By increasing investment in family policies, progress towards Sustainable Development Goal 2, zero hunger, might be accelerated and, in turn, improve health for all.FundingWellcome Trust.

Sex-Based Differentials in the Prevalence and Determinants of Food Insecurity and Its Association With Measures of Wellbeing in Arab Countries

Food insecurity (FIS) greatly affects small farmer families in Haiti. This study includes 502 Haitian households where FIS was estimated using the Latin American and Caribbean Food Security Scale. FIS was categorized as mild (7.2%), moderate (28.3%), and severe (62.0%) FIS; 2.5% of the households were food secure. Food consumption was estimated for the month previous to the interview using a food frequency questionnaire. Findings show significant differences (p<0.001) in the number of food items (fi) consumed at least once a week by FIS level: mild (33.5 fi), moderate (25.2 fi) and severe (22.1 fi). The number of staple food items consumed decreased as follows: mild FIS=7.5, moderate FIS=5.9, and severe FIS=5.0. Furthermore, with increasing FIS severity, mean food item consumption for nutrient dense food groups decreased, affecting the consumption of eggs, dairy, meat/fish, fruits and vegetables (p<0.001). Additionally to a decreased consumption in the number of fi, the proportion of households consuming animal source foods decreased as FIS increased. For example, the proportion of households consuming eggs was 69% (mild FIS), 50% (moderate FIS), and 35% (severe FIS). Sugar intake remained the same across FIS categories, though. These results indicate that dietary diversity might decrease, as FIS turns more severe. Lower protein and micronutrient intake might have negative impacts on the nutrition status of Haitian farmer families. Differences in food intake between FIS levels demonstrate the need for differentiated interventions by FIS level.

Household food insecurity (HFI) plays an important role in child malnutrition in many low-income countries. We determined the association between HFI and stunting and severe stunting among Rwandan children from the Gicumbi district, aged 6-59months using a cross-sectional study of 2,222 children. HFI factor was calculated by summing all seven HFI (access) frequency questions and was categorised into food security, mildly food insecurity, moderately food insecurity, and severe food insecurity. The association between stunting, severe stunting, and HFI was determined using the multiple logistic regression analyses that adjust for clustering and sampling weights. The odds of moderate and severe HFI were significantly higher among stunted children aged 6-59months than those who were not stunted (adjusted odds ratio [AOR]=1.43; 95% confidence interval [CI] [1.11, 1.84] and AOR=1.35; 95% CI [1.08, 1.69], respectively). Children from households with moderate food insecurity were 2.47 times more likely to be severely stunted (AOR=2.47; 95% CI [1.77, 3.46]), and those from households with severe food insecurity were more likely to be severely stunted (AOR=1.82; 95% CI [1.34, 2.48]), compared with children aged 6-59months from households with food security. Other factors included male children and children who did not attend monthly growth monitoring sessions. This study showed that moderate and severe HFI correlated with stunting and severe stunting. Interventions to improve stunting in Gicumbi children should also focus on male children, children who did not attend monthly growth monitoring sessions, and households with moderate and severe food insecurity.

Estimating the prevalence of food insecurity of households with children under 15 years, across the globe

To examine the association between the local food environment and the severity of food insecurity among new families using community food security interventions in Montreal. In this cross-sectional study, we analyzed baseline data from 785 adults aged 18-65 years enrolled in the evaluation of the effects of organizations delivering community food security interventions in Montreal. The dependent variable was household food insecurity, while the independent variable was the local food environment, assessed through: location of the most frequently used grocery store, distance between the participant's residence and the community organization used, mode of transportation, walking time to the most frequently used grocery store, satisfaction with the acceptability and affordability of food available at the most frequently used grocery store, and self-reported difficulties in accessing food. We used polytomous logistic regression to estimate the association between household food insecurity and the local food environment. In all the models, we coded food security status in three categories: food security, moderate food insecurity and severe food insecurity. The last group was used as a reference group. Our data suggest that compared to households with severe food insecurity, those with moderate food insecurity (OR = 0.43, 95% CI: 0.28-0.62) and those with food security (OR = 0.13, 95% CI: 0.06-0.26) were less likely to report difficulties in accessing food due to food affordability. Food-secure households also had lower odds of reporting difficulties in accessing food due to transportation constraints (OR = 0.18, 95% CI: 0.06-0.55) compared with severe food-insecure households. Living a distance of between 1 and 2 km from the organization used was significantly correlated with moderate food insecurity (OR = 1.80, 95% CI: 1.12-2.88). The local food environment is associated with severity of household food insecurity among new families using community food security interventions in Montreal. Future studies should study the relationship between the local food environment and food insecurity across all dimensions of food access.

The aim of this study is to analyze home food (in)security via intersectionality. The data are from the cross-sectional study Quality of the Urban Environment of Salvador - QUALISalvador, conducted from 2018 to 2020 in Salvador, Bahia State, Brazil. A structured questionnaire and the Brazilian Food Insecurity Scale were used. A total of 14,713 households were analyzed. The outcome variable was the situation of food security: mild, moderate, or severe food insecurity. The exposure of interest variable was the intersection of the variables self-declared race/color and gender: white man, white woman, black man, black woman. Multinominal logistic regression models were used to estimate the association between exposure of interest and outcome, adjusted for socioeconomic variables and stratified according to education level and per capita family income. Households lead by black women had a higher chance of experiencing mild (OR = 1.39; 95%CI: 1.15-1.68; p = 0.001) and moderate or severe (OR = 1.94; 95%CI: 1.49-2.52; p < 0.001) food insecurity in relation to households lead by white men. They also had a higher chance of experiencing moderate or severe food insecurity in all levels of education and in the ranges of up to 1/2 minimum wage and > 1 minimum wage. When the person responsible for the household was a black man, the greatest chance for this condition was in the > 1 minimum wage. Food insecurity in households lead by black women, even in socioeconomically favorable conditions, is revealed as one of the consequences of the structural interaction of racism and sexism.

The COVID-19 pandemic triggered unparalleled political, economic, and social ramifications, exacerbating global food insecurity (FI). To understand the overall impact of the pandemic and how different socio-economic groups were affected, we assessed prevalence and severity of FI in a sample of 18,997 households across seven countries in South America. We employed the Food Insecurity Experience Scale developed by the FAO. Our results showed that pre-pandemic, 4.5% of the sampled population across the entire continent faced Moderate FI, while 0.6% experienced severe FI. During the pandemic, Moderate FI increased to 16.9% (+ 12.4%), and Severe FI to 2.7% (+ 2.1%). By country, pre-pandemic households in Venezuela had the highest prevalence of Moderate FI (9.7%), with Peru experiencing the highest Severe FI frequency (1.1%). Peru had the greatest rise in Moderate (+ 23.9%) and Severe FI (+ 4.6%) during the pandemic. Low-income households, defined as those earning &lt; 2 minimum wages per month, were most susceptible to FI. Uruguayan low-income families exhibited the most significant rise (+ 40.4%) in Moderate FI, while those in Peru experienced an increase of + 9.1% in Severe FI. This study measures the profound and far-reaching impact of the COVID-19 pandemic on FI in South America. Our findings also emphasise the critical importance of implementing effective public policy interventions to improve resilience against future shocks. This would enable policymakers to develop targeted strategies that address the immediate challenges posed by pandemics as well as laying the groundwork for a more resilient and sustainable food security landscape in the region.

The global pandemic of COVID-19 and the social distancing efforts implemented worldwide to limit its spread have disrupted the economy, increased food insecurity, and mental health problems. The aim of this study was to determine the association between food insecurity and mental health outcomes (stress, depression, and anxiety) in Peruvian households during the COVID-19 pandemic. A cross-sectional investigation was conducted with 525 participants of both sexes (68% women), over 18 years of age and from the three geographic regions of Peru: Coast (54.9%), Highlands (28.4%), and Jungle (16.8%). The data were collected during the year 2021, between July 6 and September 22 through a self-administered online survey designed to assess socio-demographic, socioeconomic, food insecurity, and mental health outcomes (depression, anxiety, and stress). The majority of households (71.4%) experienced some degree of food insecurity. Mild food insecurity was the most frequent, affecting 49.1%, followed by moderate 15.4%, and severe 6.9%. Regarding mental health outcomes, 24.8% manifested depression, 26.7% anxiety, and 15.3% stress. With respect to the association between the level of food insecurity and anxiety, this was highly significant (p < 0.01). Households with mild, moderate and severe food insecurity are 2.04, 4.5, and 10.44 times, respectively, more likely to have moderate-severe anxiety. On the other hand, the mild food insecurity was not associated with moderate-severe depression. In contrast, households with moderate and severe food insecurity are 2.8 and 5.7 times, respectively, more likely to have moderate-severe depression. Finally, households with moderate food insecurity are 5.9 times more likely to have moderate-severe stress, and households with severe food insecurity are 8.5 times more likely to have moderate-severe stress, both having a highly significant association (p < 0.01). In conclusion, during the second wave of the COVID-19 pandemic in Peru, household food insecurity was independently associated with worse mental health outcomes. Monitoring of both food insecurity and mental health will be important as the COVID-19 pandemic continues.

A growing number of Australians are experiencing challenges accessing and affording healthy food due to climate-related disasters, global supply chain disruptions, and rapid inflation that is affecting the cost of healthy food(1). There is limited understanding of how participation community-based food cooperatives can address these challenges and improve food security and dietary intake. This study investigated the motivations for joining and impact of participation in a community-based food cooperative called Box Divvy on self-reported food security status and intake of fruits and vegetables among a sample of Australian adults. A cross-sectional online survey was conducted among Box Divvy members, that measured sociodemographic characteristics, motivations for joining, self-reported fruit and vegetable intake (serves/week), and food insecurity status (USDA 6-item short form(2)) before and while using Box Divvy. Participants were classified as being food secure, or experiencing marginal, moderate, or severe food insecurity. Logistic regression assessed demographic predictors and self-reported change in food security status, and ANOVA examined changes in dietary intake before joining and while using Box Divvy. Of participants (n = 2764, 37% aged 35–44 years, 83% European ethnicity, 92% New South Wales residents), most joined Box Divvy to support local farmers (87.3%), and save money on healthy foods (70.6%). Around half of respondents (50.8%) reported experiencing food insecurity before joining Box Divvy (24.5% marginal, 18.4% moderate, 7.9% severe food insecurity). Univariate logistic regression identified age, household structure, and income as significant predictors of food insecurity (p &lt; 0.001). Participants experiencing food insecurity reported significantly lower consumption of fruits and vegetables prior to joining Box Divvy compared to those who were food secure (p &lt; 0.001). While using Box Divvy, 28.2% of participants reported experiencing food insecurity (16.6% marginal, 9.6% moderate, 2.1% severe food insecurity). The odds of food insecurity while using Box Divvy were 62% lower than before joining (OR: 0.38; 95% CI 0.34–0.43; p &lt; 0.001). On average, participants reported their fruit intake increased by 2.5 ± 5.6 serves/week (p &lt; 0.001), and vegetable intake increased by 3.3 ± 5.7 serves/week (p &lt; 0.001). The mean increase was significantly greater among moderately food insecure (fruit mean difference 3.2 ± 6.5 serves/week; vegetable mean difference 3.9 ± 6.9 serves/week) and severely food insecure groups (fruit mean difference 4.4 ± 6.9 serves/week; vegetable mean difference 5.5 ± 7.7 serves/week; p &lt; 0.001). Participation in Box Divvy significantly improved self-reported food security status and fruit and vegetable intake among a large sample of Australian adults. Notably, fruit and vegetable intake significantly increased among those experiencing moderate and severe food insecurity. This underscores the potential of community-based food cooperatives to improve food security and promote healthier eating habits among Australian adults, especially households experiencing food insecurity.

BackgroundFood insecurity (FI) is the lack of physical, social, and economic access to sufficient food for dietary needs and food preferences. We examined the association between FI and women’s uptake of services to prevent mother-to-child HIV transmission (MTCT) in Zimbabwe.MethodsWe analyzed cross-sectional data collected in 2012 from women living in five of ten provinces. Eligible women were ≥16 years old, biological mothers of infants born 9–18 months before the interview, and were randomly selected using multi-stage cluster sampling. Women and infants were tested for HIV and interviewed about health service utilization during pregnancy, delivery, and post-partum. We assessed FI in the past four weeks using a subset of questions from the Household Food Insecurity Access Scale and classified women as living in food secure, moderately food insecure, or severely food insecure households.ResultsThe weighted population included 8,790 women. Completion of all key steps in the PMTCT cascade was reported by 49%, 45%, and 38% of women in food secure, moderately food insecure, and severely food insecure households, respectively (adjusted prevalence ratio (PRa) = 0.95, 95% confidence interval (CI): 0.90, 1.00 (moderate FI vs. food secure), PRa = 0.86, 95% CI: 0.79, 0.94 (severe FI vs. food secure)). Food insecurity was not associated with maternal or infant receipt of ART/ARV prophylaxis. However, in the unadjusted analysis, among HIV-exposed infants, 13.3% of those born to women who reported severe household food insecurity were HIV-infected compared to 8.2% of infants whose mothers reported food secure households (PR = 1.62, 95% CI: 1.04, 2.52). After adjustment for covariates, this association was attenuated (PRa = 1.42, 95% CI: 0.89, 2.26). There was no association between moderate food insecurity and MTCT in unadjusted or adjusted analyses (PRa = 0.68, 95% CI: 0.43, 1.08).ConclusionsAmong women with a recent birth, food insecurity is inversely associated with service utilization in the PMTCT cascade and severe household food insecurity may be positively associated with MTCT. These preliminary findings support the assessment of FI in antenatal care and integrated food and nutrition programs for pregnant women to improve maternal and child health.

We investigated the association between discrimination, neighborhood unsafety, and household food insecurity (FI) among Nigerian adults, as well as the gender-specific differences in these associations. Our analysis utilized data from the 2021 Multiple Indicator Cluster Survey (MICS), comprising 56,146 Nigerian adults aged 15–49 (17,346 males and 38,800 females). For bivariate analysis, we employed the Rao–Scott chi-square test to examine the relationship between predictors (discrimination, neighborhood unsafety, and a composite variable of both) and the outcome variable (FI). Food insecurity was assessed using both a dichotomous measure (food insecure vs. food secure) and a multinomial variable (food secure, mild FI, moderate FI, and severe FI). To model the association between predictors and FI while controlling for potential confounding factors, we utilized weighted binary and multinomial logistic regression. Among Nigerian adults, the prevalence of having ever experienced FI was 86.1%, with the prevalence of mild FI, moderate FI, and severe FI being 11.5%, 30.1%, and 44.5%, respectively. In the binary model, experiencing discrimination (OR = 1.36, 95% CI = 1.19–1.55), living in an unsafe neighborhood (OR = 1.33, 95% CI = 1.14–1.54), and facing both discrimination and unsafe neighborhood conditions (OR = 1.97, 95% CI = 1.57–2.48) were significantly associated with FI. In the multinomial model, discrimination, neighborhood unsafety, and experiencing both remained associated with moderate and severe FI. In the gender-specific models, discrimination and neighborhood unsafety were found to be significantly associated with FI in women but not in men. This study underscores the importance of implementing policies and programs that address the underlying causes of food insecurity, with specific attention to discrimination and neighborhood safety concerns, particularly for Nigerian women.

BackgroundResearch has linked food insecurity to mental health problems, though little is known about this relationship among Canadian youth. We investigate the association between food insecurity severity and mental illnesses...