Prevalence Of Household Food Insecurity Research Articles

Food Insecurity, Dietary Intakes, and Eating Behaviors in a Convenience Sample of Toronto Youth

Background: Food insecurity has been shown to be associated with poor dietary quality and eating behaviors, which can have both short- and long-term adverse health outcomes in children. The objective was to investigate the food security status, dietary intakes, and eating behaviors in a convenience sample of youth participating in the Maple Leaf Sports Entertainment LaunchPad programming in downtown Toronto, Ontario. Methods: Youth aged 9–18 years were recruited to participate in the study. Food security status, dietary intakes, and eating behaviors were collected using parent- or self-reported questionnaires online. Results: Sixty-six youth (mean ± SD: 11.7 ± 1.9 years) participated in the study. The prevalence of household food insecurity was higher than the national average with at least one child under 18 years of age (27.7% vs. 16.2%). Dietary intake patterns were similar to the national trends with low intakes of fiber, inadequate intakes of calcium and vitamin D; and excess intakes of sodium, added sugar, and saturated fat. Despite a low prevalence of poor eating habits, distracted eating was the most frequently reported poor eating habit. Conclusions: Although youth were at high risk for experiencing household food insecurity, inadequate dietary intake patterns were similar to the national trends. Our findings can be used to develop future programming to facilitate healthy dietary behaviors appropriate for the target community.

Food insecurity as experienced by New Zealand women and their children

ABSTRACT Food insecurity, defined as uncertainty in reliably accessing adequate quantities of nutritious food, is an issue for many families and children, including in New Zealand. Drawing on the experiences of mothers, this study explored the nature, causes and impact of food insecurity for their families. Semi-structured face-to-face interviews conducted with six female sole-parents were complemented with food insecurity data from the NZ Health Survey and Youth2000 surveys. Interviews were audio-recorded, transcribed and emergent themes analysed. The major driver of food insecurity was low income relative to essential household outgoings. Coping strategies employed invariably involved reducing the quantity and quality of food consumed. Negative impacts of food insecurity included significant stress, neglect of personal needs and missing meals in favour of children. Concerns expressed for children included reduced provision of nutritious food and constrained social and recreational opportunities. Participants described the daily struggle of feeding their household despite personal sacrifices, a range of coping strategies and community support. Quantitative data showed persistent high prevalence of household food insecurity with inequity by ethnicity and disability status. Findings highlight food insecurity as an ongoing public health issue for which urgent action is required to reduce its damaging impacts on families and children.

Household Food Insecurity in Regions of the Vietnamese Mekong Delta: Prevalence and Risk Factors

ABSTRACT Household food security in Vietnam remains tenuous. We surveyed 552 households to investigate household food insecurity (HFI) in rural districts in the Vietnamese Mekong Delta. HFI prevalence was 34.4% and 48.4% in the last month and last year, respectively. Khmer households were twice as likely to experience HFI compared to their Kinh counterparts. The primary factors associated with HFI were weak livelihood assets including lower natural, financial, and human assets (being landless, low incomes), physical and social assets (poor market access, social networks), lower kitchen utensil scores, belonging to a minority and experiencing financial, agricultural, and extreme weather shocks.

COVID-19 and Food Insecurity in Latin America and the Caribbean

ABSTRACT The objective was to determine the prevalence of household food insecurity (FI) in Latin America and the Caribbean (LAC) during the COVID-19 pandemic. Secondary analysis was performed using the waves 1 to 3 of the 2020 COVID-19 High Frequency Phone Surveys in 13 LAC countries. The countries with the highest FI in the first wave were Honduras (60.3%), Peru (58.1%) and Ecuador (57.9%). Likewise, the countries with the greatest differences in the prevalence of FI between the first and last waves in percentage points (PP) were Peru (−29), Guatemala (−27.7) and Bolivia (−21.8). LAC countries face a great burden of FI.

Household Food Insecurity in Middle- and High-Income Countries Before and During the COVID-19 Pandemic

ObjectivesThe impact of the pandemic on the prevalence of food insecurity is unclear given the potentially contradictory effects of shocks such as lockdowns versus stabilizers such as income supplements. We examined changes in the prevalence of household food insecurity in five countries from before (2019) to during the pandemic (2020). MethodsData were drawn from cross-sectional surveys conducted in Australia, Canada, Mexico, the United Kingdom (UK), and the United States (US) in November/December of 2018,2019, and 2020. Adults aged 18–99 years were surveyed annually (2018: n = 22,731,2019: n = 19,274,2020: n = 21,323). Household food insecurity in the past 12 months was assessed using the Household Food Security Survey Module. Weighted logit models examined changes in the prevalence of living in households affected by food insecurity from 2019 to 2020, adjusting for the prevalence in 2018 and demographic characteristics. Weighted generalized logit models examined changes in the severity of food insecurity. ResultsAdults in Mexico had a higher probability of living in food-insecure households in 2020 compared to 2019 (β = 0.14, p = 0.02). In contrast, decreases in the probability of living in food-insecure households in 2020 compared to 2019 were observed in Australia (β = –0.21, p < .001) and Canada (β = –0.14, p = 0.03). In the UK and the US, no important changes in the prevalence of food insecurity were observed (UK: β = –0.11, p = 0.11, US: β = 0.05, p = 0.42). Changes in the severity of food insecurity within countries are also evident. ConclusionsChanges in the prevalence of household food insecurity during the pandemic appear to differ across countries. Further analyses will contextualize these differences in relation to varied policy responses to the pandemic, as well as changes in prevalence among subgroups such as those with low incomes. Funding SourcesA. Pepetone received a stipend from a Canadian Institutes of Health Research (CIHR)/Natural Sciences and Engineering Research Council/Social Sciences and Humanities Research Council Healthy Cities Research Training Platform. Funding for the International Food Policy Study was provided by a CIHR Project Grant, with additional support from Health Canada, the Public Health Agency of Canada (PHAC), and a CIHR-PHAC Applied Public Health Chair held by D. Hammond.

Household food insecurity and unimproved toilet facilities associate with child morbidity: evidence from a cross-sectional study in Bangladesh

BackgroundDespite recent progress in rural economic development and food production, the prevalence of household food insecurity (FI) and use of unimproved toilet facilities are widespread in Bangladesh. Evidence regarding the consequencs of household FI and poor sanitation on child morbidity is scarce. This study aimed to understand the association of FI and unimproved toilet facility with morbidity status of under-5 children in Bangladesh.MethodsWe used data from a cross-sectional survey that was conducted as part of an evaluation of the Maternal, Infant and Young Child Nutrition (MIYCN) Program in 9 districts of Bangladesh. The study population included children aged 6–59 months and their caregivers, identified using a two-stage cluster-sampling procedure. Child morbidity status was the outcome variable, and household FI status and type of toilet used were considered the main exposure variables in this study. We performed logistic regression, calculated adjusted odds ratios (AOR) to assess the association of child morbidity with household FI and unimproved toilet facility after adjusting for potential confounders.ResultsA total of 1,728 households were eligible for this analysis. About 23% of the households were food-insecure, and a large number of households had improved toilet facilities (93.4%). In the multivariable logistic regression model, we found that children in food-insecure households with unimproved toilet facility had 5.88 (AOR: 5.88; 95% CI 2.52, 13.70) times more chance, of being morbid compared to the children of food-secure households with improved toilet facility. A similar association of FI and toilet facilities with each of the morbidity components was observed, including diarrhea (AOR:3.6; 95% CI 1.79, 7.89), fever (AOR:3.47; 95% CI 1.72, 6.99), difficult or fast breathing with cough (AOR:3.88; 95% CI 1.99, 7.59), and difficult or fast breathing with blocked or running nose (AOR:1.29; 95% CI 0.56, 2.95).ConclusionsOur study shows that household FI and unimproved toilet facility jointly have more deteriorative effects on child morbidity than either of these conditions alone. Therefore, it is recommended to consider these two critical factors while designing a public health intervention for reducing morbidity among under-five children.

Factors influencing low-income households' food insecurity in Bangladesh during the COVID-19 lockdown.

BackgroundThe COVID-19 pandemic and countrywide lockdown could negatively impact household food insecurity among low-income households. This study aimed to investigate the prevalence of household food insecurity and its influencing factors among low-income people in Bangladesh during the lockdown of COVID-19.MethodsThis cross-sectional study was conducted through face-to-face interviews from 500 low-income households during the countrywide COVID-19 lockdown. A pretested, structured and validated questionnaire was used to collect socioeconomic characteristics, household income conditions, and food accessibility. Household Food Insecurity Access Scale (HFIAS) and Dietary Diversity Score (DDS) were used to measure food insecurity. Multinomial logistic regression models were estimated to evaluate and predict risk factors that influence food insecurity.ResultsThe study found that above 67% of households was mild-to-moderate food insecure while 23% experienced severe food insecurity. Significantly, 88%, 97.4%, and 93.4% of the households had anxiety and uncertainty, inadequate quality, and inadequate quantity of food, respectively. The regression analysis revealed the age 36–50 years (RRR: 4.86; 95% CI: 2.31–7.44, RRR: 4.16; 95% CI: 2.25–6.10) and monthly income <58.3 USD (RRR: 3.04; 95% CI: 1.12–5.14, RRR: 3.26; 95% CI: 1.79–4.71) were significantly associated with food insecurity (p <0.001). Likewise, less-income (RRR: 3.87; 95% CI: 1.37–6.46, RRR: 2.99; 95% CI: 1.16–4.83), increase in food prices (RRR: 1.29; 95% CI: 0.32–2.33, RRR: 1.08; 95% CI: 0.05–1.12), and those who did not have same type of earning as before during the COVID-19 lockdown (RRR: 3.41; 95% CI: 1.33–5.62, RRR: 2.60; 95% CI: 0.99–4.24) were potential risk factor for MMFI and FI.ConclusionThis study found that households become more susceptible to food insecurity during the COVID-19 pandemic and lockdown period. Based on the findings, we suggest some essential food policies and adequate food assistance to mitigate these negative consequences.

Moderators of Food Insecurity and Diet Quality in Pairs of Mothers and Their Children.

Research has suggested that maternal diet and characteristics may influence the diet of offspring during childhood. The present cross-sectional study aimed to assess the influence of distinct maternal characteristics and the diet quality of mothers on the prevalence of household food insecurity (FI) and the diet quality of children. A total of 179 mother–child pairs were recruited from two primary schools in the metropolitan area of Thessaloniki. The children were aged between 10 and 12 years old. Diet quality was assessed as the level of adherence to the Mediterranean diet (MD), with the use of the KIDMED for the children and the MedDietScore for the mothers. The household FI and the social and demographic characteristics of the mothers were also recorded, and anthropometric measures of both the mothers and their children were collected. Approximately ¼ (26.3%) of the pairs reported some degree of FI, with a greater prevalence (64.7%) within single-mother families. Moreover, FI affected the level of maternal MD adherence (p = 0.011). On the other hand, FI was decreased in households with a greater maternal educational level (OR: 0.25; 95% CI: 0.10–0.63) and conjugal family status (OR: 0.15; 95% CI: 0.87–0.52). Maternal adherence to the MD was inversely related to the respective adherence of their offspring (OR: 0.93; 95% CI: 0.86–0.997), suggesting that during periods of financial constraints, maternal diet quality is compromised at the expense of affording a better diet for the minors in the family.

Prevalence of household food insecurity in Ethiopia during the COVID-19 pandemic: Evidence from panel data

The COVID-19 pandemic is a global problem that confronted the economy and household food security of many countries. This study aimed to analyze the determinants of a household's food insecurity status in the era of the COVID-19 pandemic in Ethiopia. A panel data of 2,410 households in a six-round High-Frequency Phone Survey were retrieved from the World Bank database. The product of the corresponding pairwise severity weight and household responses to each coping strategy was summed up to get the individual's Coping Strategy Index. The Random Effect Model (REM) for panel data analysis was used to identify factors associated with household-related food insecurity during the COVID-19 pandemic. The descriptive statistics result shows that 18.63% and 11.08% of rural households and 56.55% and 38.13% of urban residents were food secure in the first and sixth rounds, respectively. On the contrary, 3.65% and 3.2% of rural households and 6.8% and 7.18% of urban households experienced severe food insecurity from the first to the sixth round, respectively. Most households have maintained their food security in urban areas than rural residents. However, the number of food secure households was gradually reduced from Round-1 to Round-6. Besides, REM output indicates that access to financial services, farm income, wage employment, income from property, investment, and savings, and NGO assistance negatively affected household's food insecurity. Whereas government support showed a positive association with households' food insecurity. Based on the findings, we recommend that households should adopt the behavior of enhancing and diversifying their sources of income, and the government also emphasize the establishment of national social security services by taking experience from NGOs’ emergency response mechanisms.

Risk Factors of Stunting and Wasting among Children Aged 6-59 Months in Household Food Insecurity of Jima Geneti District, Western Oromia, Ethiopia: An Observational Study.

Undernutrition is the most difficult and widespread public health concern in low-income nations including Ethiopia. Therefore, this study aimed to investigate the associated risk factors of stunting and wasting among children aged 6–59 months in Jima Geneti district, Western Oromia, Ethiopia. A community-based cross-sectional study was conducted on 500 children from December 1 to 28, 2020. A multiple-stage sampling method was performed to select children from each kebele. Anthropometric measurements were taken, and the nutritional status was generated using WHO Anthro v. 3.2.1. Data analysis was performed using the SPSS version 20.0. Bivariate and multivariate logistic regression analyses were carried out to identify the associated risk factors of stunting and wasting among children in the study area. Statistical significance was set at p < 0.05. The study results showed that the prevalence of stunting and wasting among children was 27% and 11.8%, respectively. The findings of this study also revealed that the prevalence of household food insecurity and poor dietary diets was 19.6% and 52.2%, respectively. Low wealth status (AOR = 2.5; 95% CI: 1.1, 5.55) and poor dietary diets (AOR = 4.7; 95% CI: 2.5, 8.83) were associated risk factors for stunting. However, child meal frequency (AOR = 3.9; 95% CI: 1.23, 12.6), and children who did feed leftover food (AOR = 2.75; 95% CI: 1.02, 7.44) were associated risk factors for wasting. Poor dietary diets (AOR = 2.65; 95% CI: 1.06, 6.66) were also associated risk factors for wasting. The findings of this study concluded that the prevalence of stunting and wasting was high in the study area. Therefore, addressing family-level risk factors which are major drivers of children's nutritional status is crucial to ensure the nutritional status of children.

Demographic and socio-environmental factors associated with household food insecurity in different territories of the city of Salvador, Bahia State, Brazil

This study aimed to present the prevalence of household food insecurity in different territories of the city of Salvador, Bahia State, Brazil, and to analyze demographic and socio-environmental factors associated with it. The data used are from a larger survey named Quality of the Urban Environment of Salvador - QUALISalvador, carried out from 2018 to 2020 in in the city. Food insecurity was assessed using the Brazilian Food Insecurity Scale. A total of 15,171 households were analyzed. Multinomial logistic regression models were used to analyze the association of demographic and socio-environmental variables with mild food insecurity (MFI) and moderate or severe food insecurity (MSFI) for Salvador and by macrozones. Salvador presented 40.96% of food insecurity. In the macrozones, the prevalence differed: Atlantic Coast (25.8%), Consolidated Urban Area (33%), Suburb (45.7%), and Core (47.9%). All factors analyzed were associated with MFI and/or MSFI in the model for Salvador, namely: household head having schooling ≤ 4 years (MFI: OR = 2.00; 95%CI: 1.61-2.47/MSFI: OR = 4.94; 95%CI: 3.83-6.35), having per capita family income of up to 1/2 minimum wage (MFI: OR = 2.62; 95%CI: 2.37-2.93/MSFI: OR = 4.03; 95%CI: 3.53-4.60), perception of the quality of the urban environment as poor (MFI: OR = 1.57; 95%CI: 1.36-1.81/MSFI: OR = 2.03; 95%CI: 1.73-2.38), with a higher prevalence of food insecurity in scenarios of worse sociodemographic situation. In the Core Macrozone, all factors were also associated with food insecurity. Thus, the factors of social vulnerability are associated with food insecurity in the capital and macrozones, but they are presented in a specific way according to the characteristics of each territory.

Food insecurity and common mental disorders in perinatal women living in low socio-economic settings in Cape Town, South Africa during the COVID-19 pandemic: a cohort study.

Common mental disorders (CMDs), i.e. depression and anxiety, are highly prevalent during the perinatal period, and is associated with poverty, food insecurity and domestic violence. We collected data from perinatal women at two time-points during the COVID-19 pandemic to test the hypotheses that (1) socio-economic adversities at baseline would be associated with CMD prevalence at follow-up and (2) worse mental health at baseline would be associated with higher food insecurity prevalence at follow-up. Telephonic interviews with perinatal women attending healthcare facilities in Cape Town, South Africa. Multivariable (multilevel) regression analysis was used to model the associations of baseline risk factors with the prevalence of household food insecurity and probable CMD at 3 months follow-up. At baseline 859 women were recruited, of whom 217 (25%) were pregnant, 631 (73%) had given birth in the previous 6 months, 106 (12%) had probable CMD, and 375 (44%) were severely food insecure. At follow-up (n = 634), 22 (4%) were still pregnant, 603 (95%) had given birth, 44 (7%) had probable CMD, and 207 (33%) were severely food insecure. In the multivariable regression model, after controlling for confounders, unemployment [incidence rate ratio (IRR) 1.19 (1.12-2.27); p < 0.001] and had higher scores on the Edinburgh Postnatal Depression Scale [IRR 1.05 (1.03-1.09); p < 0.001] at baseline predicted food insecurity at follow-up; and experiencing domestic violence [OR 2.79 (1.41-5.50); p = 0.003] at baseline predicted CMD at follow-up. This study highlights the complex bidirectional relationship between mental health and socio-economic adversity among perinatal women during the COVID-19 pandemic.

Association between food insecurity and major depressive episodes amid Covid-19 pandemic: results of four consecutive epidemiological surveys from southern Brazil.

To assess the association between household food insecurity (FI) and major depressive episodes (MDE) amid Covid-19 pandemic in Brazil. Cross-sectional study carried out with data from four consecutive population-based studies. The study was conducted between May and June 2020, in Bagé, a Brazilian southern city. Household FI was measured using the short-form version of the Brazilian Food Insecurity Scale. Utilising the Patient Health Questionnaire-9, we used two different approaches to define MDE: the cut-off point of ≥ 9 and the diagnostic criteria proposed by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). Association between FI and MDE was analysed using crude and adjusted Poisson regression models. 1550 adults (≥ 20 years old). The prevalence of household FI was 29·4 % (95 % CI 25·0, 34·4). MDE prevalence varied from 4·4 % (95 % CI 3·1, 6·0), when we used the DSM-IV-TR criteria to define this condition, to 9·6 % (95 % CI 7·3, 12·5) of the sample, when we used the cut-off point of ≥ 9 as definition. The prevalence of MDE was more than two times higher in those individuals living with FI, independent of the criteria adopted to define the outcome. Adjustment for potential confounders did not change the association's magnitude. Household FI has been positively associated with MDE amid Covid-19 pandemic, independent of socio-demographic characteristics of participants. Actions are needed to warrant basic living conditions to avoid FI and hunger and its consequences for the Brazilian population, especially those consequences linked to mental health disorders.

A comparison of household food insecurity rates in Newfoundland and Labrador in 2011-2012 and 2017-2018.

The prevalence of household food insecurity in Newfoundland and Labrador (NL) fell sharply between 2007 and 2011, but it appears to have risen since then. Our objective was to compare the prevalence of food insecurity between 2011-2012 and 2017-2018 in relation to population socio-demographic characteristics. Our analytic sample comprised all NL households in the Canadian Community Health Survey (CCHS) cycles 2011-2012 and 2017-2018, n = 6800. We stratified the prevalence of household food insecurity for each cycle by socio-demographic characteristics and applied multivariable logistic regression models to determine food insecurity odds in 2017-2018 compared with 2011-2012 after controlling for socio-demographic covariates. Interactions of covariates with survey cycle were tested and models stratified when warranted. The prevalence of food insecurity rose from 12.0% (95% CI 10.5, 13.6) in 2011-2012 to 14.7% (95% CI 13.1, 16.6) in 2017-2018. After adjusting for household socio-demographic variables, the odds of food insecurity was 1.49 (95% CI 1.27, 1.75) in 2017-2018. The prevalence of food insecurity had increased significantly among unattached individuals, renters, households with low educational attainment, and households with income above the Low Income Measure, with concomitant increases in the contribution of these groups to the total provincial prevalence of food insecurity in 2017-2018 compared with that in 2011-2012. The odds of food insecurity among NL households increased significantly from 2011-2012 to 2017-2018. Given the serious negative health implications of household food insecurity, the province should draw on the lessons from its earlier success in food insecurity reduction to reverse the current trend.

Prevalence and Risk Factors of Food Insecurity among Mexican University Students' Households.

Household food insecurity (FI) remains a major public health challenge worldwide. Data about perceived FI and its risk factors in Mexican university students are lacking. We aimed to assess FI’s prevalence and factors affecting it among university students’ households in Mexico. This cross-sectional analysis involved 7671 university students’ households using the 2018 Mexican National of Household Income and Expenditure Survey data. Variables analyzed included sociodemographic characteristics, and the 12-item validated Mexican Scale for Food Security (EMSA). Multivariable logistic regression modelling was performed to identify FI risk factors. The overall household FI prevalence was 30.8%. According to FI severity, prevalence rates were 16.3% for mild-FI, 8.8% for moderate-FI, and 5.7% for severe-FI. Low socioeconomic status (OR = 2.72; 95%CI: 2.09–3.54), low education level of household’s head (OR = 2.36; 95%CI: 1.90–2.94), self-ascription to an indigenous group (OR = 1.59; 95%CI: 1.41–1.79), attending public university (OR = 1.27; 95%CI: 1.13–1.43), female-headed household (OR = 1.26; 95%CI: 1.13–1.40), having worked recently (OR = 1.19; 95%CI: 1.07–1.33), and being in second year of studies (OR = 1.17; 95%CI: 1.03–1.33), were significantly related to FI. Our results confirm that FI is highly prevalent among Mexican university students’ households and that sociodemographic factors are essential in addressing this concern. Findings highlight the need for preventive programs and policies to alleviate FI.

Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.

Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among Urban Productive Safety Net Program (UPSNP) beneficiary households in Addis Ababa, Ethiopia's capital city. A community-based cross-sectional study was conducted among 624 UPSNP beneficiary households in nine districts of Addis Ababa from June to July 2019. A multi-stage sampling method was used; study participants were selected using a simple random sampling technique after establishing the proportionally allocated sample size for 9 districts. Data were collected by trained personnel using a pretested, structured questionnaire. The outcome variable was food insecurity as measured by Household Food Insecurity Access Scale (HFIAS), a tool developed by the Food and Nutrition Technical Assistance Scale (FANTA) and validated for developing countries, including Ethiopia. A binary (crude odds ratio [COR]) and multivariable (adjusted odds ratio [AOR]) logistic regression analysis were employed at 95% CI (confidence interval). From the bivariate analysis, factors having a p-value<0.25 were included in the multivariable analysis. From the multivariable analysis, any variable at p-value < 0.05 at 95% CI was declared significantly associated with household food insecurity. Model fitness was also checked using the Hosmer-Lemeshow test with p-value>0.05. The prevalence of household food insecurity was 77.1% [95%CI:73.8-80.7] during the month prior to the survey. Illiteracy of household head [AOR: 2.56; 95%CI:1.08-6.07], family size of 4 or more [AOR: 1.87, 95%CI:1.08-3.23], high dependency ratio [AOR: 3.95; 95%CI:1.31-11.90], household lack of access to credit [AOR:2.85; 95%CI:1.25-6.49], low household income [AOR: 4.72; 95%CI:2.32-9.60] and medium household income [AOR: 9.78; 95%CI:4.29-22.35] were significantly associated with household food insecurity. We found that three in four of Addis Ababa's UPSNP beneficiary households were food-insecure. Implementation of measures to improve household income, minimize the dependency ratio of households, and arrange access to credit services are paramount ways to tackle food insecurity problems in Addis Ababa.

Household and child food insecurity and CVD risk factors in lower-income adolescents aged 12-17 years from the National Health and Nutrition Examination Survey (NHANES) 2007-2016.

Household food insecurity is associated with CVD risk factors in low-income adults, but research on these associations among adolescents is inconsistent. This study investigates whether household and child food insecurity is associated with CVD risk factors in lower-income adolescents. Cross-sectional. Multivariable linear regression assessed the association between household and child food security and CVD risk factors. Household and child food security was measured using the US Food Security Survey Module. The analyses were adjusted for adolescent's age, sex, race/ethnicity, smoking status, physical activity and sedentary time, as well as household income and the head-of-household's education and marital status. The USA. The sample was comprised of 2876 adolescents, aged 12-17 years, with household incomes at or below 300 % federal poverty line from the National Health and Nutrition Examination Survey cycles 2007-2016. The weighted prevalence of household food insecurity in the analytic sample was 33·4 %, and the weighted prevalence of child food insecurity was 17·4 %. After multivariable adjustment, there were no significant associations between household and child food insecurity and BMI-for-age Z-score, systolic and diastolic blood pressure, HDL-cholesterol, total cholesterol, fasting TAG, fasting LDL-cholesterol and fasting plasma glucose. Despite observed associations in adults, household food insecurity was not associated with CVD risk factors in a national sample of lower-income adolescents. Child food insecurity was also not associated with CVD risk factors. More research should be conducted to confirm these associations.

Household Food Insecurity, Lung Function, and COPD in US Adults.

Increasing epidemiological evidence suggests that optimal diet quality helps to improve preservation of lung function and to reduce chronic obstructive pulmonary disease (COPD) risk, but no study has investigated the association of food insecurity (FI) and lung health in the general population. Using data from a representative sample of US adults who participated in the National Health and Nutrition Examination Survey (NHANES) 2007–2012 cycles, we investigated the association between FI with lung function and spirometrically defined COPD in 12,469 individuals aged ≥ 18 years of age. FI (high vs. low) was defined using the US Department of Agriculture’s Food Security Scale). Population-weighted adjusted regression models were used to investigate associations between FI, and forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), their ratio, and spirometrically defined restriction (FVC below the lower limit of normal) and airflow obstruction (COPD). The prevalence of household FI was 13.2%. High household FI was associated with lower FVC (adjusted β-coefficient −70.9 mL, 95% CI −116.6, −25.3), and with higher odds (OR) of spirometric restriction (1.02, 95% CI 1.00, 1.03). Stratified analyses showed similar effect sizes within specific ethnic groups. High FI was associated with worse lung health in a nationally representative sample of adults in the US.

Black-white racial disparities in household food insecurity from 2005 to 2014, Canada.

ObjectivesTo understand the differential vulnerability to household food insecurity of the Black population as compared with white counterparts in Canada.MethodsUsing data for households with Black and white respondents in pooled Canadian Community Health Survey cycles from 2005 to 2014, the 18-question Household Food Security Survey Module was analyzed (N = 491,400). Bivariate and multivariate logistic and multinomial regression models were run using respondent’s race, immigration status, and six well-established predictors of household food insecurity in the general population. Additional multivariable logistic regression models were run, with race interacted with each predictor individually to yield predicted probabilities.ResultsThe weighted prevalence of household food insecurity was 10.0% for white respondents and 28.4% for Black respondents. The odds of Black households being food-insecure as compared with white households fell from 3.56 (95% CI: 3.30–3.85) to 1.88 (95% CI: 1.70–2.08) with adjustment for household socio-demographic characteristics. In contrast with white households, there was relative homogeneity of risk of food insecurity among Black subgroups defined by immigration status, household composition, education, and province of residence. Homeownership was associated with lower probabilities of food insecurity for Black and white households, but the probability among Black owners was similar to that for white renters (14.7% vs. 14.3%). Black households had significantly higher predicted probabilities of food insecurity than their white counterparts across all main sources of household income except child benefits and social assistance.ConclusionBeing racialized as Black appears to be an overriding factor shaping vulnerability to food insecurity for the Black population in Canada. Future research and public policy on food insecurity should seriously consider the role of racism at the systemic and institutional levels.

I Can for Kids: Experiences and Perceived Outcomes of a Summer Food Program for Low-Income Households at Risk of Food Insecurity in Calgary, Alberta, Canada

Abstract Objectives The prevalence of household food insecurity increases in the summer when school meals are no longer accessible, which can negatively impact children's health and wellbeing. Summer food programs, such as I Can for Kids (IC4K) in Calgary, Alberta, Canada, aim to reduce food insecurity in low income households with school-aged children during the summer months. Qualitative studies have not yet examined whether or how grocery gift cards (GGC) can reduce experiences of food insecurity among low-income households. We explored recipients’ and agency staff experiences and perceived outcomes of receiving or distributing GGC from IC4K. Methods This study used qualitative descriptive methodology. Data generation and analysis were guided by Freedman et al's theoretical framework of nutritious food access. Semi-structured interviews were conducted between August and November 2020 with 38 primary caregivers (i.e., GGC recipients) and 17 agency staff who distributed GGC. Directed content analysis was used to analyze the data from each set of interviews using a deductive-inductive approach. Codes were combined into themes that summarized GGC recipients’ and agency staff's experiences and perceived outcomes of receiving or distributing GGC, and feedback to improve program delivery. Results Three themes were generated from the data. The first theme was Financial Relief and reflected increased self-efficacy, improved diet quality, and reduced household stress from receiving GGC. The second theme was Social Connectedness and described enriched family relationships, enhanced rapport between staff and recipients, and increased recipient social capital. The last theme was Program Enhancements and described feedback to improve program delivery by extending program duration, increasing strategic direction to staff on GGC distribution, and additional promotional efforts to increase awareness of GGC availability. Conclusions GGC recipients and agency staff perceived that GGC offered financial relief and enhanced social connections for recipients, and suggested areas for program improvements. Study findings can inform improvements to summer food programs that deliver GGC to reduce food insecurity among low-income households in the summer. Funding Sources Funding provided by the O'Brien Institute for Public Health at the University of Calgary.