Household ICT Utilization and Food Security Nexus in Nigeria.
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ABSTRACT:
SUBMITTER: Ejemeyovwi JO
PROVIDER: S-EPMC8598372 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:PurposeSmokers can spend a substantial amount on cigarettes, potentially constraining their ability to purchase food. We tested the association of smoking cessation and household food security.MethodsUsing the Current Population Survey (2001-2019), we longitudinally linked the Tobacco Use Supplement and the Food Security Supplement (n = 71,278). Among adult smokers (n = 13,144), we used modified Poisson regression to model household food insecurity as a function of quit status (continuing smokers vs. recent quitters), adjusting for sex, age, household size, children in the household, and other household smokers. We also used multinomial logistic regression to examine more detailed food security status (high, marginal, low, very low).ResultsThe adjusted probability of household food insecurity at follow-up was 11% (95% CI: 8.7%-13%) for recent quitters and 20% (95% CI: 19%-21%) for continuing smokers. Continuing smokers had a lower adjusted probability of high food security (69% vs. 80%) and a higher adjusted probability of marginal (11% vs. 9.8%), low (12% vs. 7%), and very low food security (7.8% vs. 3.6%) compared to recent quitters.ConclusionsCigarette cessation is associated with a lower risk of household food insecurity. Therefore, promoting tobacco cessation alongside food assistance and poverty reduction policies may help alleviate food insecurity.
| S-EPMC9957954 | biostudies-literature
Project description:Food security and adequate nutrition are critical for achieving progress toward sustainable development. Two billion people worldwide experience moderate to severe food insecurity, and rates of hunger have increased over the past several years after declining steadily for decades. The FAO attributes this increase in large part to climate change, though empirical evidence on the relationship between climatic conditions and food security remains limited. We examine this question by linking nationally representative longitudinal data from four rounds of the Tanzania National Panel Survey to high-resolution gridded climate data. We then estimate a set of fixed effects regression models to understand the linkages between recent rainy season precipitation and temperature and two indicators of household food security: Food Consumption Score (FCS) and reduced Coping Strategies Index (rCSI). We find that low rainfall-particularly dry and cool conditions-is negatively associated with food security. Moving from a typical rainfall year to a particularly dry one increases the risk of being food insecure on both measures simultaneously by 13-percentage points. This suggests that a lack of rainfall impedes households' ability to access food, likely through reduced agricultural production and increased food prices, leading to lower dietary diversity and food shortages. Vulnerability is higher among households with fewer working age members, suggesting that households with a greater supply of labor can better withstand droughts. As climate change alters precipitation and temperature patterns over the coming decades, policies to increase resilience will be critical for improving food security, particularly among populations heavily reliant on agriculture.
| S-EPMC10099342 | biostudies-literature
Project description: Not available
| S-EPMC10884418 | biostudies-literature
Project description:The mechanisms through which livestock ownership is associated with childhood anaemia are contested. Using a cross-sectional, community-based survey of 300 households in southern Ghana, we determined the associations of household livestock ownership with anaemia among children aged 2-5 years. Potential mediating effects of animal-source food (ASF) consumption, microbial infections, and household food security were investigated. Data on each child's anaemia, malaria, and intestinal infections were collected for a subset of 221 households. Anaemia was defined as a haemoglobin (Hb) concentration <110 g/L. ASF consumption was measured as a count of the number of different ASF types consumed by each child in the week prior to the interview. Household food security was measured with a 15-item, pre-tested tool adapted from the USDA Household Food Security Core Module. The number of sheep and goats in aggregate was associated with higher odds of a child being anaemic (aOR (95% CI) = 1.10 (1.03, 1.17)). Households owning more free-range poultry had greater diversity of consumed ASFs among children (Coef. (95% C) = 0.02 (0.01, 0.03)). Owning more pigs was associated with higher odds that a household was food secure (1.05 (0.99, 1.12). We found no evidence that the child's ASF consumption mediated the association of livestock ownership with child anaemia, however,household food security mediated the association between household pig ownership and child anaemia. Overall, household ownership of livestock was associated with higher ASF consumption among children and improved household-level food security, yet also a higher odd of anaemia among those young children. The mechanisms leading to these seemingly counterintuitive relationships require further investigation.
| S-EPMC6655609 | biostudies-literature
Project description:Abstract Objectives Reducing the gender gap in empowerment within households is associated with indicators of improved diet. This study developed a household-level empowerment measure and then examined its association with food security. Methods This analysis used baseline data from a nutrition-sensitive agriculture intervention in rural Ghana (ClinicalTrials.gov NCT03869853). Only 198 of the 330 households with complete paired empowerment data for one female and one male were included. The household empowerment measure was constructed in two stages. First, the individual empowerment score was assessed using the project-level Women's Empowerment in Agriculture Index (pro-WEAI) with its 12 indicators (e.g., influential group membership, access to financial services). Participants were classified as empowered (≥75%, 9 out of 12 indicators) or disempowered (<75%). Then, the household was categorized as empowered (both members empowered; 50.5%), semi-empowered (only one member empowered; 34.9%) or disempowered (both members not empowered; 14.6%). Two of the pro-WEAI indicators were assessed also at the household level using the same technique. Food security was assessed with the 15-item Latin American and Caribbean Food Security Scale; a binary variable was created: food secure (0), food insecure (FIS; >0). Cluster-adjusted logistic regression models examined the relationship between FIS and household empowerment. Results Over half (58%) of households were FIS. Empowered compared to disempowered households had a lower odds of being FIS (aOR = 0.50, 95% CI [0.29, 0.86]). The model for influential group membership showed that empowered were less likely than disempowered households to be FIS (aOR = 0.27, 95% CI [0.13, 0.58]) while the model for access to financial services showed the opposite (aOR = 3.15, 95% CI [1.80, 5.51]). Conclusions These results highlight the complexity of empowerment measures and support empowerment approaches that target different members of the household. Funding Sources The Canadian Queen Elizabeth II Diamond Jubilee Scholarships (QES) is managed through a unique partnership of Universities Canada, RHF, CFC, and Canadian universities. The QES-AS is made possible with financial support from IDRC and SSHRC.
| S-EPMC9193757 | biostudies-literature
Project description:BackgroundFood Insecurity (FI) is a global health concern. For the first time, this study evaluated households' food insecurity and factors related to it in Golestan province, North of Iran.MethodsThis cross-sectional study was conducted on 5129 randomly selected households in the Golestan Province in 2016. Sociodemographic characteristics, including age, ethnicity, household size, education level, and occupation status, were collected via interview. The prevalence and severity of food insecurity were identified by the Household Food Insecurity Access Scale (HFIAS), whose scores are between 0 and 27, with larger values indicating more severe food insecurity. The prevalence of food insecurity based on the geographical area was presented using GIS.ResultsOut of 5129 households, 2216 (43.21%) had food security, and 2913 (56.79%) households had food insecurity, with a Mean ± SD HFIAS score of 4.86 ± 5.95. Out of 2913 households with FI, 1526 (52.39%), 956 (32.82%), and 431 (14.79%) had mild, moderate, and severe food insecurity, respectively. Among 14 regions of the province, three regions had the most cases of food insecurity. Food insecurity (moderate or severe) was significantly associated with mothers as the household head (adjusted OR = 1.67, 95% CI: 1.03-2.70) and lower education level of the household head.ConclusionThe prevalence of household food insecurity in the Golestan Province is higher than the national average. Factors such as literacy, employment status, and gender of the household head can be significantly associated with food insecurity.
| S-EPMC9807972 | biostudies-literature
Project description:BackgroundAchieving food security remains a key challenge for public policy throughout the world. As such, understanding the determinants of food insecurity and the causal relationships between them is an important scientific question. We aim to construct a Bayesian belief network model of food security in rural South Africa to act as a tool for decision support in the design of interventions.MethodsHere, we use data from the Agincourt Health and Socio-demographic Surveillance System (HDSS) study area, which is close to the Mozambique border in a low-income region of South Africa, together with Bayesian belief network (BBN) methodology to address this question.ResultsWe find that a combination of expert elicitation and learning from data produces the most credible set of causal relationships, as well as the greatest predictive performance with 10-fold cross validation resulting in a Briers score 0.0846, information reward of 0.5590, and Bayesian information reward of 0.0057. We report the resulting model as a directed acyclic graph (DAG) that can be used to model the expected effects of complex interventions to improve food security. Applications to sensitivity analyses and interventional simulations show ways the model can be applied as tool for decision support for human experts in deciding on interventions.ConclusionsThe resulting models can form the basis of the iterative generation of a robust causal model of household food security in the Agincourt HDSS study area and in other similar populations.
| S-EPMC8130258 | biostudies-literature
Project description:Background and objectivesAdequate diet is of crucial importance for healthy child development. In food insecure areas of the world, the provision of adequate child diet is threatened in the many households that sometimes experience having no food at all to eat (household food insecurity). In the context of food insecure northern Ghana, this study investigated the relationship between level of household food security and achievement of recommended child diet as measured by WHO Infant and Young Child Feeding Indicators.MethodsUsing data from households and 6-23 month old children in the 2012 Feed the Future baseline survey (n = 871), descriptive analyses assessed the prevalence of minimum meal frequency; minimum dietary diversity, and minimum acceptable diet. Logistic regression analysis was used to examine the association of minimum acceptable diet with household food security, while accounting for the effects of child sex and age, maternal -age, -dietary diversity, -literacy and -education, household size, region, and urban-rural setting. Household food security was assessed with the Household Hunger Scale developed by USAID's Food and Nutrition Technical Assistance Project.ResultsForty-nine percent of children received minimum recommended meal frequency, 31% received minimum dietary diversity, and 17% of the children received minimum acceptable diet. Sixty-four percent of the children lived in food secure households, and they were significantly more likely than children in food insecure households to receive recommended minimum acceptable diet [O.R = 0.53; 95% CI: 0.35, 0.82]. However, in 80% of food secure households, children did not receive a minimal acceptable diet by WHO standards.ConclusionsChildren living in food secure households were more likely than others to receive a minimum acceptable diet. Yet living in a food secure household was no guarantee of child dietary adequacy, since eight of 10 children in food secure households received less than a minimum acceptable diet. The results call for research into factors besides household food security in the search for determinants of child diet adequacy. In this study at least, household food security was a very weak marker of child diet adequacy. This finding is of significance to public health practice, since it calls into question any assumption that having enough food in a household necessarily results in adequately fed children.
| S-EPMC5426760 | biostudies-literature
Project description:To target food security interventions for smallholder households, decision makers need large-scale information, such as maps on poverty, food security and key livelihood activities. Such information is often based on expert knowledge or aggregated data, despite the fact that food security and poverty are driven largely by processes at the household level. At present, it is unclear if and how household level information can contribute to the spatial prediction of such welfare indicators or to what extent local variability is ignored by current mapping efforts. A combination of geo-referenced household level information with spatially continuous information is an underused approach to quantify local and large-scale variation, while it can provide a direct estimate of the variability of welfare indicators at the most relevant scale. We applied a stepwise regression kriging procedure to translate point information to spatially explicit patterns and create country-wide predictions with associated uncertainty estimates for indicators on food availability and related livelihood activities using household survey data from Uganda. With few exceptions, predictions of the indicators were weak, highlighting the difficulty in capturing variability at larger scale. Household explanatory variables identified little additional variation compared to environmental explanatory variables alone. Spatial predictability was strongest for indicators whose distribution was determined by environmental gradients. In contrast, indicators of crops that were more ubiquitously present across agroecological zones showed large local variation, which often overruled large-scale patterns. Our procedure adds to existing approaches that often only show large-scale patterns by revealing that local variation in welfare is large. Interventions that aim to target the poor must recognise that diversity in livelihood activities for income generation within any given area often overrides the variability of livelihood activities between distant regions in the country.
| S-EPMC6292625 | biostudies-literature
Project description:Food security is a multi-dimensional concept that requires multiple indicators to measure it correctly; however, single food security indicators are often used individually or interchangeably. The misinterpretation of individual food security indicators can have important implications for policy design and implementation. The general objective of this paper is to show the discrepancies that may arise when using two different food security indicators that operate in the same dimension of the food security concept and yield the same outcome (food security status of the household) in three of the scenarios that they might be used: (1) for measuring the prevalence of food insecurity, (2) for understanding its drivers, and (3) for estimating the potential impact of a policy. The specific objectives of this paper are (1) to measure and compare the prevalence of food insecurity in a country using the Latin America Food Security Scale (ELCSA, by its acronym in Spanish) and the household undernourishment indicator, (2) to compare the factors associated with households' food security status using the two indicators, and (3) to assess the potential use of the two indicators for ex ante policy analysis. Data for the study comes from the 2011 Survey of Living Standards from Guatemala, which collected all the data for estimating the ELCSA and the household level data required for calculating the household undernourishment indicator. Our results indicate considerable differences in the estimated prevalence of food insecurity at the national and regional levels using the two alternative indicators, with ELCSA resulting in higher estimates. Logistic regression models estimated to assess and identify household food insecurity drivers also found large differences in both the direction and magnitude of factors affecting food insecurity using the alternative food security indicators. Finally, the magnitude of the simulated impact of a cash transfer policy varied depending on the food indicator used.
| S-EPMC7692183 | biostudies-literature