Household food insecurity is a potent social determinant of health and health care costs in Canada, but understanding of the social and economic conditions that underlie households' vulnerability to ...food insecurity is limited.
Data from the 2011-12 Canadian Community Health Survey were used to determine predictors of household food insecurity among a nationally-representative sample of 120,909 households. Household food insecurity over the past 12 months was assessed using the 18-item Household Food Security Survey Module. Households were classified as food secure or marginally, moderately, or severely food insecure based on the number of affirmative responses. Multivariable binary and multinomial logistic regression analyses were used to determine geographic and socio-demographic predictors of presence and severity of household food insecurity.
The prevalence of household food insecurity ranged from 11.8% in Ontario to 41.0% in Nunavut. After adjusting for socio-demographic factors, households' odds of food insecurity were lower in Quebec and higher in the Maritimes, territories, and Alberta, compared to Ontario. The adjusted odds of food insecurity were also higher among households reliant on social assistance, Employment Insurance or workers' compensation, those without a university degree, those with children under 18, unattached individuals, renters, and those with an Aboriginal respondent. Higher income, immigration, and reliance on seniors' income sources were protective against food insecurity. Living in Nunavut and relying on social assistance were the strongest predictors of severe food insecurity, but severity was also associated with income, education, household composition, Aboriginal status, immigration status, and place of residence. The relation between income and food insecurity status was graded, with every $1000 increase in income associated with 2% lower odds of marginal food insecurity, 4% lower odds of moderate food insecurity, and 5% lower odds of severe food insecurity.
The probability of household food insecurity in Canada and the severity of the experience depends on a household's province or territory of residence, income, main source of income, housing tenure, education, Aboriginal status, and household structure. Our findings highlight the intersection of household food insecurity with public policy decisions in Canada and the disproportionate burden of food insecurity among Indigenous peoples.
Objectives
To understand the differential vulnerability to household food insecurity of the Black population as compared with white counterparts in Canada.
Methods
Using 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.
Results
The 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.
Conclusion
Being 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.
The prevalence of food insecurity among adults over 65 in Canada is less than half of that among adults approaching 65, possibly due in part to the public pension universally disbursed from the age ...of 65. Given research associating food insecurity with higher risk of premature mortality, our objective was to determine the likelihood that food-insecure adults with incomes below the national median would live past 65 to collect the public pension.
We linked respondents of the Canadian Community Health Survey 2005-15 to the death records from the Canadian Vital Statistics Database 2005-17. We assessed household food insecurity status through a validated 18-item questionnaire for 50,780 adults aged 52-64 at interview and with household income below the national median. We traced their vital status up to the age of 65. We fitted Cox proportional hazard models to compare hazard of all-cause mortality before 65 by food insecurity status while adjusting for individual demographic attributes, baseline health, and household socioeconomic characteristics. We also stratified the sample by income and analyzed the subsamples with income above and below the Low Income Measure separately.
Marginal, moderate, and severe food insecurity were experienced by 4.1, 7.3, and 4.5% of the sampled adults, respectively. The crude mortality rate was 49 per 10,000 person-years for food-secure adults and 86, 98, and 150 per 10,000 person-years for their marginally, moderately, and severely food-insecure counterparts, respectively. For the full sample and low-income subsample, respectively, severe food insecurity was associated with 1.24 (95% CI: 1.06, 1.45) and 1.28 (95% CI: 1.07, 1.52) times higher hazard of dying before 65 relative to food security. No association was found between food insecurity and mortality in the higher-income subsample.
Severely food-insecure adults approaching retirement age were more likely to die before collecting public pensions that might attenuate their food insecurity. Policymakers need to acknowledge the challenges to food security and health faced by working-age adults and provide them with adequate assistance to ensure healthy ageing into retirement.
Objective:
To determine the relationship between household food insecurity status over a 12-month period and adults’ use of publicly funded health care services in Ontario for mental health reasons ...during this period.
Methods:
Data for 80,942 Ontario residents, 18 to 64 years old, who participated in the Canadian Community Health Survey in 2005, 2007-2008, 2009-2010, or 2011-2012 were linked to administrative health care data to determine individuals’ hospitalizations, emergency department visits, and visits to psychiatrists and primary care physicians for mental health reasons. Household food insecurity over the past 12 months was assessed using the Household Food Security Survey Module. Logistic regression models were used to estimate the odds of mental health service utilization in the past 12 months by household food insecurity status, adjusting for sociodemographic factors and prior use of mental health services.
Results:
In our fully adjusted models, in comparison to food-secure individuals, the odds of any mental health care service utilization over the past 12 months were 1.15 (95% confidence interval CI, 1.04 to 1.29) for marginally food-insecure individuals, 1.39 (95% CI, 1.19 to 1.42) for moderately food-insecure individuals, and 1.50 (95% CI, 1.35 to 1.68) for severely food-insecure individuals. A similar pattern persisted across individual types of services, with odds of utilization highest with severe food insecurity.
Conclusions:
Household food insecurity status is a robust predictor of mental health service utilization among working-age adults in Ontario. Policy interventions are required to address the underlying causes of food insecurity and the particular vulnerability of individuals with mental illness.
'Discretionary fortification' refers to the addition of vitamins and minerals to foods at the discretion of manufacturers for marketing purposes, but not as part of a planned public health ...intervention. While the nutrients added may correspond to needs in the population, an examination of novel beverages sold in Toronto supermarkets revealed added nutrients for which there is little or no evidence of inadequacy in the population. This is consistent with the variable effects of manufacturer-driven fortification on nutrient adequacy observed in the US. Nutrient intakes in excess of Tolerable Upper Intake Levels are now observed in the context of supplement use and high levels of consumption of fortified foods. Expanding discretionary fortification can only increase nutrient exposures, but any health risks associated with chronically high nutrient loads from fortification and supplementation remain to be discovered. Regulatory bodies are focused on the establishment of safe levels of nutrient addition, but their estimation procedures are fraught with untested assumptions and data limitations. The task of determining the benefits of discretionary fortification is being left to consumers, but the nutrition information available to them is insufficient to allow for differentiation of potentially beneficial fortification from gratuitous nutrient additions.
Food insecurity is associated with a wide array of negative health outcomes and higher health care costs but there has been no population-based study of the association of food insecurity and ...mortality in high-income countries.
We use cross-sectional population surveys linked to encoded health administrative data. The sample is 90,368 adults, living in Ontario and respondents in the Canadian Community Health Survey (CCHS). The outcome of interest is all-cause mortality at any time after the interview and within four years of the interview. The primary variable of interest is food insecurity status, with individuals classed as "food secure", "marginally food insecure", "moderately food insecure", or "severely food insecure". We use logistic regression models to determine the association of mortality with food insecurity status, adjusting for other social determinants of health.
Using a full set of covariates, in comparison to food secure individuals, the odds of death at any point after the interview are 1.28 (CI = 1.08, 1.52) for marginally food insecure individuals, 1.49 (CI = 1.29, 1.73) for moderately food insecure individuals, and 2.60 (CI = 2.17, 3.12) for severely food insecure individuals. When mortality within four years of the interview is considered, the odds are, respectively, 1.19 (CI = 0.95, 1.50), 1.65 (CI = 1.37, 1.98), and 2.31 (CI = 1.81, 2.93).
These findings demonstrate that food insecurity is associated with higher mortality rates and these higher rates are especially large for the most severe food insecurity category. Efforts to reduce food insecurity should be incorporated into broader public health initiatives to reduce mortality.
Recent reports have asserted that, because of energy underreporting, dietary self-report data suffer from measurement error so great that findings that rely on them are of no value. This commentary ...considers the amassed evidence that shows that self-report dietary intake data can successfully be used to inform dietary guidance and public health policy. Topics discussed include what is known and what can be done about the measurement error inherent in data collected by using self-report dietary assessment instruments and the extent and magnitude of underreporting energy compared with other nutrients and food groups. Also discussed is the overall impact of energy underreporting on dietary surveillance and nutritional epidemiology. In conclusion, 7 specific recommendations for collecting, analyzing, and interpreting self-report dietary data are provided: (1) continue to collect self-report dietary intake data because they contain valuable, rich, and critical information about foods and beverages consumed by populations that can be used to inform nutrition policy and assess diet-disease associations; (2) do not use self-reported energy intake as a measure of true energy intake; (3) do use self-reported energy intake for energy adjustment of other self-reported dietary constituents to improve risk estimation in studies of diet-health associations; (4) acknowledge the limitations of self-report dietary data and analyze and interpret them appropriately; (5) design studies and conduct analyses that allow adjustment for measurement error; (6) design new epidemiologic studies to collect dietary data from both short-term (recalls or food records) and long-term (food-frequency questionnaires) instruments on the entire study population to allow for maximizing the strengths of each instrument; and (7) continue to develop, evaluate, and further expand methods of dietary assessment, including dietary biomarkers and methods using new technologies.
Objectives
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.
Methods
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.
Results
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.
Conclusion
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.
ABSTRACT BACKGROUND Qualitative studies have suggested that food insecurity adversely affects infant feeding practices. We aimed to determine how household food insecurity relates to breastfeeding ...initiation, duration of exclusive breastfeeding and vitamin D supplementation of breastfed infants in Canada. METHODS We studied 10 450 women who had completed the Maternal Experiences — Breastfeeding Module and the Household Food Security Survey Module of the Canadian Community Health Survey (2005–2014) and who had given birth in the year of or year before their interview. We used multivariable Cox proportional hazards models and logistic regression to examine the relation between food insecurity and infant feeding practices, adjusting for sociodemographic characteristics, maternal mood disorders and diabetes mellitus. RESULTS Overall, 17% of the women reported household food insecurity, of whom 8.6% had moderate food insecurity and 2.9% had severe food insecurity (weighted percentages). After adjustment for sociodemographic factors, women with food insecurity were no less likely than others to initiate breastfeeding or provide vitamin D supplementation to their infants. Half of the women with food insecurity ceased exclusive breastfeeding by 2 months, whereas most of those with food security persisted with breastfeeding for 4 months or more. Relative to women with food security, those with marginal, moderate and severe food insecurity had significantly lower odds of exclusive breastfeeding to 4 months, but only women with moderate food insecurity had lower odds of exclusive breastfeeding to 6 months, independent of sociodemographic characteristics (odds ratio 0.60, 95% confidence interval 0.39–0.92). Adjustment for maternal mood disorder or diabetes slightly attenuated these relationships. INTERPRETATION Mothers caring for infants in food-insecure households attempted to follow infant feeding recommendations, but were less able than women with food security to sustain exclusive breastfeeding. Our findings highlight the need for more effective interventions to support food-insecure families with newborns.
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