How Do Disadvantaged Children Perceive, Understand and Experience Household Food Insecurity?
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ABSTRACT:
SUBMITTER: Velardo S
PROVIDER: S-EPMC8070068 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveThe current study aimed to explore the interplay between food insecurity, fast-food outlet exposure and dietary quality in disadvantaged neighbourhoods.DesignIn this cross-sectional study, main associations between fast-food outlet density and proximity, food insecurity status and dietary quality were assessed using Generalized Estimating Equation analyses. We assessed potential moderation by fast-food outlet exposure in the association between food insecurity status and dietary quality by testing for effect modification between food insecurity status and fast-food outlet density and proximity.SettingA deprived urban area in the Netherlands.ParticipantsWe included 226 adult participants with at least one child below the age of 18 years living at home.ResultsFast-food outlet exposure was not associated with experiencing food insecurity (fast-food outlet density: b = -0·026, 95 % CI = -0·076; 0·024; fast-food outlet proximity: b = -0·003, 95 % CI = -0·033; 0·026). Experiencing food insecurity was associated with lower dietary quality (b = -0·48 per unit increase, 95 % CI = -0·94; -0·012). This association was moderated by fast-food outlet proximity (Pinteraction = 0·008), and stratified results revealed that the adverse effect of food insecurity on dietary quality was more pronounced for those with the nearest fast-food outlet located closer to the home.ConclusionsFood insecurity but not fast-food outlet density is associated with dietary quality. However, the association between food insecurity and dietary quality may be modified by the food environment. These findings could inform policymakers to promote a healthier food environment including less fast-food outlets, with particular emphasis on areas with high percentages of food insecure households.
| S-EPMC8825968 | biostudies-literature
Project description:Seventy percent of Mexican households experience some level of food insecurity (FI). Studies have shown positive associations between FI and poor dietary quality. As far as it is known, this is the first time the Healthy Eating Index (HEI-2010) has been used to assess dietary quality of children and adolescents in Mexico, and to examine if FI is related to it. The objective of this research is to assess dietary quality and its association with FI among Mexican children and adolescents from a nationally representative cross-sectional sample. We analyzed data from 4635 2-19-year-old Mexican children and adolescents participating in the Mexican National Health and Nutrition Survey (Ensanut 2012). FI was measured using the Latin American and Caribbean Household Food Security Scale (ELCSA) and dietary quality with the HEI-2010. We examined the association between FI and dietary quality using multivariate linear regressions. Dietary quality was worst as FI became more severe among children and adolescents compared with their counterparts living in households with food security. Specifically, FI had a negative association with fruits, vegetables, and protein foods, and a positive association with refined grains consumption. Dairy intake was negatively associated with FI among older children and adolescents. Added sugars were not associated with FI, but intake was excessive across the population at 15% of total daily energy intake. Decreasing FI may help improve dietary quality of Mexican children and adolescents.
| S-EPMC6866226 | biostudies-literature
Project description:Few studies have investigated food security, dietary quality, or unfavorable food intake through self-reports among children and adolescents in Asia. This study assessed the association of perceived food insecurity with dietary quality and unfavorable food intake among 1111 children and 538 adolescents from economically disadvantaged families in Taiwan. Food security status was collected by a validated questionnaire. Dietary quality was examined using a dietary diversity score (DDS). Unfavorable food intake was defined as fried food, bread/cake/pastries, sugar-sweetened beverages, and biscuits/chips. Food-insecure participants had lower DDS, whole grains and protein-rich food intake than food-secure participants. Furthermore, food-insecure children had a higher frequency of unfavorable food consumption. The level of children's food insecurity was inversely associated with DDS (β: -0.047, 95% CI: -0.085 to -0.009) but positively with bread/pastry (β: 0.103, 95% CI: 0.022-0.184) and sugar-sweetened beverages (β: 0.117, 95% CI: 0.018-0.215) intake. Adolescents who reported food insecurity and not enough money for household expenses had an odds ratio of 2.85 (95% CI: 1.15-7.10) for poor DDS relative to their food-secure and financially able counterparts. We recommended that health policy needs to include diversifying food and nutrition education for vulnerable children and adolescents to improve dietary quality.
| S-EPMC8540399 | biostudies-literature
Project description:ObjectiveTo examine the relationship between household food insecurity and healthcare costs in children living in Ontario, Canada.MethodsWe conducted a cross-sectional, population-based study using four cycles of the Canadian Community Health Survey (2007-2008, 2009-2010, 2011-2012, 2013-2014) linked with administrative health databases (ICES). We included Ontario children aged 1-17 years with a measure of household food insecurity (Household Food Security Survey Module) over the previous 12 months. Our primary outcome was the direct public-payer healthcare costs per child over the same time period (in Canadian dollars, standardized to year 2020). We used gamma-log-transformed generalized estimating equations accounting for the clustering of children to examine this relationship, and adjusted models for important sociodemographic covariates. As a secondary outcome, we examined healthcare usage of specific services and associated costs (e.g. visits to hospitals, surgeries).ResultsWe found that adjusted healthcare costs were higher in children from food-insecure than from food-secure households ($676.79 [95% CI: $535.26, $855.74] vs. $563.98 [$457.00, $695.99], p = 0.047). Compared with children living in food-secure households, those in insecure households more often accessed hospitals, emergency departments, day surgeries, and home care, and used prescription medications. Children from food-secure households had higher usage of non-physician healthcare (e.g. optometry) and family physician rostering services.ConclusionEven after adjusting for measurable social determinants of health, household food insecurity was associated with higher public-payer health services costs and utilization among children and youth. Efforts to mitigate food insecurity could lessen child healthcare needs, as well as associated costs to our healthcare systems.
| S-EPMC10868558 | biostudies-literature
Project description:ObjectiveThe present study examines the association between mild and moderate-to-severe household food insecurity and school readiness among a nationally representative sample of preschool-aged children.DesignCross-sectional data pertaining to household food availability as well as four domains of school readiness - early learning skills, self-regulation, social-emotional development and physical health & motor development - were employed.SettingThe USA.Participants15 402 children aged 3-5 years from the 2016-2018 National Survey of Children's Health.ResultsBoth mild and moderate-to-severe food insecurity are associated with an increase in needing support or being at-risk in each of the four school readiness domains, particularly Self-Regulation (IRR = 4·31; CI 2·68, 6·95) and Social-Emotional Development (IRR = 3·43; CI 2·16, 5·45). Furthermore, while nearly half of the children in food-secure households are on-track across all four school readiness domains (47·49 %), only one in four children experiencing moderate-to-severe household food insecurity is on-track across all domains (25·26 %).ConclusionsHousehold food insecurity is associated with reductions in school readiness among preschool-aged children.
| S-EPMC10195580 | biostudies-literature
Project description:The experience of a downward change in one's financial situation is so common that most consumers will experience it during their lifetime, and this prevalence has been compounded by the recent COVID-19 pandemic. Limited research, however, has examined the impact of economic hardship on consumers' food-related behavior. Using a sample of Canadians and Americans (n = 519; Mage = 38.4; SDage = 13.6; 46.2% female; 85% lived alone), we identify that economic hardship significantly and negatively predicts consumer food waste behavior, such that economic hardship leads consumers to waste less food. Conversely, we also identify a positive indirect effect wherein economic hardship positively predicts ontological insecurity (i.e., the aversive feeling of being overwhelmed and out of control), which in turn positively predicts overconsumption (e.g., overstocking one's fridge or pantry) and in turn predicts higher food waste. This preliminary work opens the door to future work exploring a potentially rich avenue of research on the implications of adverse economic events on consumer food choice, consumption, and disposal. Implications for research and practice are discussed.
| S-EPMC9759702 | biostudies-literature
Project description:Floods and extreme rainfall are common climatic phenomena in Bangladesh, and farm households are more susceptible to such shocks. This paper assesses the impact of climate shocks on agricultural income and food security of farm households in Bangladesh using an extensive nationally representative dataset from the Bangladesh Integrated Household Survey 2018-19, including 5604 sample rural households in 64 districts. However, this research considered 24 districts, representing 2131 sample farm households, by developing an exogenous climate shock indicator based on data from the Yearbook of Agricultural Statistics of Bangladesh 2018. Empirical findings on the grounds of simultaneous quantile regression reveal that climate shocks substantially lower agricultural income in the study regions. However, the presence of prime-age women (15-49) in the home, the male-headed family, farmland, and livestock ownership of the household are the decisive factors that safeguard agricultural income. Applying the Food Insecurity Experience Scale (FIES), descriptive statistics disclose that most farm households suffer at various food insecurity levels (considerably moderate, noticeably mild, and tiny severe), while the rest are at the food security level. The key finding regarding ordered probit regression uncovers that climate shocks significantly increase household food insecurity (at different levels of FIES). In other words, cropland damage due to floods and extreme rainfall reduces the food security of farm households in the study districts. On the other hand, increased farm size and educated households are profoundly protected against food insecurity. This study, therefore, recommends that raising livestock can complement agricultural income, and enhancing education would ensure households' food security in the climate-exposed areas of Bangladesh.
| S-EPMC10877247 | biostudies-literature
Project description:Background: With millions of people experiencing malnutrition and inadequate water access, FI and WI remain topics of vital importance to global health. Existing unidimensional FI and WI metrics do not all capture similar multidimensional aspects, thus restricting our ability to assess and address food- and water-related issues. Methods: Using the Sanitation, Hygiene and Infant Nutrition Efficacy (SHINE) trial data, our study conceptualizes household FI (N = 3551) and WI (N = 3311) separately in a way that captures their key dimensions. We developed measures of FI and WI for rural Zimbabwean households based on multiple correspondence analysis (MCA) for categorical data. Results: Three FI dimensions were retained: 'poor food access', 'household shocks' and 'low food quality and availability', as were three WI dimensions: 'poor water access', 'poor water quality', and 'low water reliability'. Internal validity of the multidimensional models was assessed using confirmatory factor analysis (CFA) with test samples at baseline and 18 months. The dimension scores were associated with a group of exogenous variables (SES, HIV-status, season, depression, perceived health, food aid, water collection), additionally indicating predictive, convergent and discriminant validities. Conclusions: FI and WI dimensions are sufficiently distinct to be characterized via separate indicators. These indicators are critical for identifying specific problematic insecurity aspects and for finding new targets to improve health and nutrition interventions.
| S-EPMC8199942 | biostudies-literature
Project description:IntroductionNumerous natural and man-made factors have afflicted Ethiopia, and millions of people have experienced food insecurity. The current cut-points of the WFP food consumption score (FCS) have limitations in measuring the food insecurity level of different feeding patterns due to the diversified culture of the society. The aim of this study is to adapt the WFP food security score cut-points corrected for the different feeding cultures of the society using effect-driven quantile clustering.MethodThe 2012, 2014, and 2016 Ethiopian socio-economic household-based panel data set with a sample size of 3,835 households and 42 variables were used. Longitudinal quantile regression with fixed individual-specific location-shift intercept of the free distribution covariance structure was adopted to identify major indicators that can cluster and level quantiles of the FCS.ResultHousehold food insecurity is reduced through time across the quintiles of food security score distribution, mainly in the upper quantiles. The leveling based on effect-driven quantile clustering brings 35.5 and 49 as the FCS cut-points corrected for cultural diversity. This corrected FCS brings wider interval for food insecure households with the same interval range for vulnerable households, where the WFP FCS cut-points under estimate it by 7 score. Education level, employment, fertilizer usage, farming type, agricultural package, infrastructure-related factors, and environmental factors are found to be the significant contributing factors to food security. On the other hand, the age of the head of the household, dependency ratio, shock, and no irrigation in households make significant contributions to food insecurity. Moreover, households living in rural areas and farming crops on small lands are comparatively vulnerable and food insecure.ConclusionMeasuring food insecurity in Ethiopia using the WFP FCS cut-off points underestimates households' food insecurity levels. Since the WFP FCS cut-points have universality and comparability limitations, there is a need for a universally accepted local threshold, corrected for local factors those resulted in different consumption patterns in the standardization of food security score. Accordingly, the quantile regression approach adjusts the WFP-FCS cut points by adjusting for local situations. Applying WFP cut-points will wrongly assign households on each level, so the proportion of households will be inflated for the security level and underestimated for the insecure level, and the influence of factors can also be wrongly recommended the food security score for the levels. The quantile clustering approach showed that cropping on a small land size would not bring about food security in Ethiopia. This favors the Ethiopian government initiative called integrated farming "ኩታ ገጠም እርሻ" which Ethiopia needs to develop and implement a system that fits and responds to this technology and infrastructure.
| S-EPMC10365274 | biostudies-literature
Project description:This study examined the burden of food insecurity in India's un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women's safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India's Public Distribution System, and multi-sector partnerships to address the existing challenges.
| S-EPMC6445475 | biostudies-literature