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Food insecurity status and mortality among adults in Ontario, Canada

  • Craig Gundersen ,

    Contributed equally to this work with: Craig Gundersen, Joyce Cheng, Paul Kurdyak

    Roles Conceptualization, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Agricultural and Consumer Economics, University of Illinois, Urbana, Illinois, United States of America

  • Valerie Tarasuk ,

    Roles Conceptualization, Funding acquisition, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliation Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada

  • Joyce Cheng ,

    Contributed equally to this work with: Craig Gundersen, Joyce Cheng, Paul Kurdyak

    Roles Data curation, Formal analysis, Validation, Writing – review & editing

    Affiliation Centre for Addiction and Mental Health, Toronto, Ontario, Canada

  • Claire de Oliveira ,

    Roles Data curation, Formal analysis, Writing – review & editing

    ‡ These authors also contributed equally to this work.

    Affiliations Centre for Addiction and Mental Health, Toronto, Ontario, Canada, Institute for Clinical Evaluative Science, Toronto, Ontario, Canada, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada

  • Paul Kurdyak

    Contributed equally to this work with: Craig Gundersen, Joyce Cheng, Paul Kurdyak

    Roles Data curation, Formal analysis, Validation, Writing – review & editing

    Affiliations Centre for Addiction and Mental Health, Toronto, Ontario, Canada, Institute for Clinical Evaluative Science, Toronto, Ontario, Canada, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada

Food insecurity status and mortality among adults in Ontario, Canada

  • Craig Gundersen, 
  • Valerie Tarasuk, 
  • Joyce Cheng, 
  • Claire de Oliveira, 
  • Paul Kurdyak



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.


Food insecurity, the uncertainty or inability to acquire sufficient food because of financial constraints [1], is a growing population health concern in many high-income countries for two reasons. First, the magnitude of the problem is staggering. In 2012, 12.6% of Canadian households were affected by some degree of food insecurity; this is the highest rate observed since national monitoring began in 2007 [1]. Second, a vast literature has demonstrated the numerous negative health consequences associated with food insecurity [2]. Among adults, these include increased risk of diabetes [3,4], hypertension [4], dyslipidemia [5], cardiovascular disease [6], depression [7,8], poor sleep [9], and iron deficiency [10]. In addition, food insecurity is associated with poorer disease management and indications of greater disease severity across a broad spectrum of communicable and non-communicable diseases [1120]. As might be expected, food insecurity is also associated with higher health care costs in Canada [20,21].

The health consequences associated with food insecurity, many of which are chronic in nature, are also associated with higher mortality rates. As a consequence, given the myriad of chronic health conditions associated with food insecurity and the greater likelihood of poor disease management in this context, one would anticipate that food insecurity is also associated with increased risk of mortality. To date this association has only been documented among specific subgroups of HIV-positive adults [13,22].

The objective of this study is to ascertain the association between food insecurity and all-cause mortality for a population-based sample of adults. Addressing this objective hasn’t been possible before due to the lack of information on mortality that can be matched with food insecurity information. To overcome this limitation and address the objective of this study, we use a unique administrative data set, which contains information on all users of medical care in Ontario, Canada, including records of death, and match those individuals who were also interviewed in the Statistics Canada’s Canadian Community Health Survey (CCHS).


Data sources

This study made use of data from CCHS conducted in 2005, 2007–08, and 2009–10 [2326]. The CCHS is a repeated cross-sectional survey which is representative of 98% of the Canadian population aged 12 and over. (Individuals living on First Nations reserves, in institutions, and in the Canadian Armed forces are not part of the sampling frame.) For each household one member, 12 years of age or older, is selected for the survey based on sampling probabilities reflecting age and household composition. The CCHS data for the province of Ontario were linked to uniquely encoded identifiers from the administrative health care data housed at the Institute for Clinical Evaluative Sciences (ICES) in Toronto Ontario.

Study population

Our initial linked sample comprised 91,752 adults who were, 18 years of age and older living in Ontario with a valid Ontario health insurance number in the 12 months prior to the CCHS interview. The exclusion of individuals with missing data resulted in a final analytic sample of 90,368 individuals.

Out of these individuals, 69,096 had information on household income. To minimize the loss of sample due to missing data on income, neighborhood-level income quintiles, derived by linking 2006 census data to the respondents’ residential postal code data, were used for subjects with missing household income [27]. We estimate models using (a) the sample which includes missing household income observations combined with the neighborhood-level income quintiles (N = 90,368) and (b) the sample which only includes those reporting household income and using household income in those models (N = 69,096).


Primary exposure: Household food security status.

The CCHS is used to delineate household food security status and socio-demographic characteristics. Consistent with its standard, validated approach [1], household food insecurity over the past 12 months was assessed using an 18-question module regarding food hardships. Based on these responses, we assign households to marginal, moderate and severe food insecurity categories based on Health Canada’s coding method [28]. (See Appendix A in S1 File for the 18 items and coding algorithm applied to determine household food insecurity status.)

Primary outcome: Mortality.

The CCHS survey was linked with the Ontario Registered Persons Database, which contains information on the vital status of all Ontario residents. Our interest in this paper is in whether or not someone has died since appearing in the CCHS. We further categorize the outcome into (a) dying since interview and (b) dying within four years of the interview.

Other covariates.

Insofar as other variables may influence mortality rates, we also include age, gender (female = 1), education level (less than secondary school graduation, secondary school graduation, some postsecondary schooling, post-secondary school completion (reference category)), homeownership (renters = 1), neighborhood-level income quintile, number of children in the household, and number of adults in the household in the models. This set of covariates was also selected to adjust for other well-established social determinants of health that are also known to be associated with household food insecurity status. Given that several years of the CCHS are being used, the probability of observing someone who has died is greater with earlier CCHS participation so we control for year of survey in our models.

Statistical analysis

Sample characteristics are described with means and proportions. We used linear trend tests to examine the association between each covariate and food security status. (The comparison is for each category reflecting a food insecure household (marginally food insecure, moderately food insecure, severely food insecure) versus food secure.) Analysis of variance was used for continuous variables and the Cochran–Armitage test for categorical variables.

Logistic regression models, expressed in odds ratios, were used to determine the association between food insecurity status (our primary exposure measure), other covariates, and mortality. For both mortality within four years and mortality at any point after the interview, we estimate two sets of models for the probability of mortality: with the three levels of food insecurity without any covariates; and with the levels of the other covariates listed above. All analyses were conducted with the use of SAS statistical software, version 9.2. The significance levels were set at p < 0.05.


Concentrating on the larger sample where we use all observations, including those with missing income, the mean age of participants in the study sample was 51.3 years (standard deviation ± 18.7), 54.9% were female, the majority of the sample had completed post-secondary education (56.2%), 77.3% were homeowners, and the mean number of children was 0.4 (standard deviation ± 0.9) and adults was 2.0 (standard deviation ± 0.9) (Table 1, top panel). With respect to food insecurity status, 3.4% lived in marginally, 4.4% in moderately, and 3.2% in severely food insecure households. When stratified by household food insecurity status, with the exception of number of children when household income is used, the participants differed significantly in age, education level, home ownership, household composition, and household income (Table 1). With respect to mortality, in our sample with income quintiles, 7,810 (8.6%) of the sample had died after the survey was taken and 3,757 (4.2%) had died within four years of the survey.

Table 1. Characteristics and mortality status by household food insecurity status.

In the bottom panel of Table 1, the sample is composed of only households which reported incomes. This results in a 23.5% decline in the sample, from 90,368 observations to 69,096 observations. The average values of the variables in the bottom panel are similar to those in the top panel. In particular, the mortality rates are similar; 8.2% had died after the survey was taken and 3.9%had died within four years of the survey.

As seen in Table 2, the probability of mortality, both within four years of interview and at any point, is lower for food insecure individuals when no other covariates are included. After controlling for age, gender, and other factors, those who are marginally food insecure are 28% more likely to die at any point after the interview than those who are food secure and the results for moderately food insecure and severely food insecure are 49% and 160%. When mortality within four years of the interview is considered, the results are, respectively, 19%, 65%, and 131%. (With the exception of marginally food insecure, each of these is statistically significant.) When the sample is truncated to only include those reporting income and then using income rather than the quintile of neighborhood income (Table 3), the results are similar to Table 2.

Table 2. Results of regression model predicting mortality, with neighborhood income measures (N = 90,368).

Table 3. Results of regression model predicting mortality, with household income (N = 69,096).


Our study showed that household food insecurity status has a strong association with mortality for adults in Ontario, independent of other well-established determinants of mortality. Our multivariate results demonstrate that along with the previously demonstrated wide array of negative health outcomes [2], and the higher health care costs associated with food insecurity [20,21], those who are food insecure are more likely to die than those who are food secure. The fact that mortality risk follows a food insecurity severity gradient lends further credibility to the overall food insecurity/mortality relationship.

Despite the mounting evidence of the negative outcomes associated with food insecurity, Canada has yet to make the reduction of household food insecurity a priority for policy intervention. While there are ad hoc community-based food charities and other food programs, these lack the capacity to effectively alter household food insecurity [2932]. In Canada, as elsewhere, problems of food insecurity are tightly linked to household incomes and other measures of financial resources [1]. Policy reforms that have improved the adequacy and security of incomes of lower income, working-aged adults and their families have been shown to yield marked reductions in food insecurity [3335]. Consistent with these findings, the government of Ontario recently implemented a three-year pilot study to assess the impact of a guaranteed minimum income for working aged adults on a variety of indicators of health and well-being, including food security [36]. Our findings highlight the importance of continued support for policy interventions to reduce food insecurity and, potentially, mortality.

One other path to reducing food insecurity is found in the United States which has had a large-scale food assistance program–the Supplemental Nutrition Assistance Program (SNAP)–for over 50 years [37]. Multiple studies have demonstrated its success in alleviating food insofar as, after controlling for non-random selection into the program, participants are substantially less likely to be food insecure. (Recent work includes, e.g., [38,39].) With respect to Canada, we estimate that adding a program like SNAP to Canada’s existing array of social programs could result in as much as a 16% decline in food insecurity [40]. Whether the introduction of a publicly-funded food assistance program would have any advantage over measures to strengthen Canada’s existing fabric of income support programs is questionable, but this finding further highlights the potential to reduce household food insecurity, and therefore potentially mortality, through interventions that improve household resources.

This is the first paper that has examined the relationship between food insecurity and mortality in a population-representative sample, with a standard food security measure. There are four limitations to this paper that can be addressed in future research. First, as the severity of food insecurity increases so too does its association with mortality. More research is needed to elucidate the mechanisms through which this occurs. Second, it isn’t clear as to whether certain causes of death are disproportionately related to food insecurity. We were limited to an examination of all-cause mortality because we lacked data on specific causes of mortality. Third, we only have information on the mortality of Ontario residents, and the relationship between food insecurity status and mortality might differ in the other provinces and territories in Canada. Linking CCHS data to health administrative data nationally would be useful to more fully examine this issue and others. Fourth, we have not made causal claims regarding the association between food insecurity and mortality and our final recommendation is to consider causal issues. This is part of a broader call to address causal issues in the food insecurity, health nexus [2].

Our finding that food insecurity has a robust association with mortality among adults in Ontario highlights the seriousness of long-observed associations between food insecurity and various negative health outcomes and the importance of policy and programmatic interventions to reduce both the prevalence and severity of household food insecurity.

Supporting information

S1 File. Appendix A: CCHS Household Food Security Survey Module.



  1. 1. Tarasuk V, Mitchell A, Dachner N; Research to Identify Policy Options to Reduce Food Insecurity (PROOF). Household food insecurity in Canada, 2012. Toronto, ON. Published 2014.
  2. 2. Gundersen C, Ziliak J. Food insecurity and health outcomes. Health Aff (Millwood.) 2015; 34(11): 1830–1839.
  3. 3. Seligman HK, Bindman AB, Vittinghoff E, Kanaya AM, Kushel MB. Food insecurity is associated with diabetes mellitus: results from the National Health Examination and Nutrition Examination Survey (NHANES) 1999–2002. J Gen Intern Med 2007; 22: 1018–1023. pmid:17436030
  4. 4. Seligman HK, Laraia BA, Kushel MB. Food insecurity is associated with chronic disease among low-income NHANES participants. J Nutr 2010; 140: 304–310. pmid:20032485
  5. 5. Tayie F, Zizza C. Food insecurity and dyslipidemia among adults in the United States. Prev Med 2009; 48: 480–485. pmid:19285104
  6. 6. Ford E. Food security and cardiovascular disease risk among adults in the United States: findings from the National Health and Nutrition Examination Survey, 2003–2008. Preventing Chronic Disease 2013; 10: E202. pmid:24309090
  7. 7. Muldoon K, Duff P, Fielden S, Anema A. Food insufficiency is associated with psychiatric morbidity in a nationally representative study of mental illness among food insecure Canadians. Soc Psychiatry Psychiatr Epidemiol 2012; 48: 795–803. pmid:23064395
  8. 8. Heflin CM, Siefert K, Williams DR. Food insufficiency and women's mental health: findings from a 3-year panel of welfare recipients. Soc Sci Med 2005; 61: 1971–1982. pmid:15927331
  9. 9. Ding M, Keiley MK, Garza KB, Duffy PA, Zizza CA. Food insecurity is associated with poor sleep outcomes among US adults. J Nutr 2015; 145(3): 615–621. pmid:25733479
  10. 10. Park CY, Eicher-Miller HA. Iron deficiency is associated with food insecurity in pregnant females in the United States: National Health and Nutrition Examination Survey 1999–2010. J Acad Nutr Diet 2014; 114(12): 1967–1973. pmid:24953790
  11. 11. Seligman HK, Davis T, Schillinger D, Wolf M. Food insecurity is associated with hypoglycemia and poor diabetes self-management in a low-income sample with diabetes. J Health Care Poor Underserved 2010; 21: 1227–1233. pmid:21099074
  12. 12. Aibibula W, Cox J, Hamelin AM, Mamiya H, Klein MB, Brassard P. Food insecurity and low CD4 count among HIV-infected people: a systematic review and meta-analysis. AIDS Care. 2016;28(12):1577–85. pmid:27306865
  13. 13. Anema A, Chan K, Chen Y, Weiser S, Montaner JS, Hogg RS. Relationship between food insecurity and mortality among HIV-positive injection drug users receiving antiretroviral therapy in British Columbia, Canada. PLOS ONE. 2013;8(5):e61277. pmid:23723968
  14. 14. Cox J, Hamelin AM, McLinden T, Moodie EE, Anema A, Rollet-Kurhajec KC, Paradis G, Rourke SB, Walmsley SL, Klein MB. Food insecurity in HIV-hepatitis c virus co-infected individuals in Canada: the importance of co-morbidities. AIDS Beh. 2017;21(3):792–802.
  15. 15. Davison KM, Marshall-Fabien GL, Tecson A. Association of moderate and severe food insecurity with suicidal ideation in adults: national survey data from three Canadian provinces. Soc Psychiatry Psychiatr Epidemiol. 2015;50(6):963–72. pmid:25652592
  16. 16. Jessiman-Perreault G, McIntyre L. The household food insecurity gradient and potential reductions in adverse population mental health outcomes in Canadian adults. SSM Popul Health. 2017;3:464–72. pmid:29349239
  17. 17. Seligman HK, Jacobs EA, Lopez A, Tschann J, Fernandez A. Food insecurity and glycemic control among low-income patients with type 2 diabetes. Diabetes Care. 2012;35(2):233–9. pmid:22210570
  18. 18. Silverman J, Krieger J, Kiefer M, Hebert P, Robinson J, Nelson K. The relationship between food insecurity and depression, diabetes distress and medication adherence among low-income patients with poorly-controlled diabetes. J Gen Intern Med 2015;30(10):1476–80. pmid:25917659
  19. 19. Tarasuk V, Cheng J, Gundersen C, de Oliveira C, Kurdyak P. The relation between food insecurity and mental health service utilization in Ontario. Can J Psychiatry. 2018 Jan 1:706743717752879.
  20. 20. Tarasuk V, Cheng J, de Oliveira C, Dachner N, Gundersen C, Kurdyak P. Association between household food insecurity and annual health care costs. CMAJ. 2015; 187(14): E429–E436. pmid:26261199
  21. 21. Fitzpatrick T, Rosella L, Calzavara A, et al. Looking beyond income and education: socioeconomic status gradients among future high-cost users of health care. Am J Prev Med. 2015; 49(2): 161–171. pmid:25960393
  22. 22. Weiser SD, Fernandes KA, Brandson EK, Lima VD, Anema A, Bangsberg DR, et al. The association between food insecurity and mortality among HIV-infected individuals on HAART. J Acquir Immune Defic Syndr 2009; 52(3): 342–349. pmid:19675463
  23. 23. Statistics Canada. Canadian Community Health Survey—Annual Component (CCHS). Detailed information for 2008. Retrieved from: Published 2009. Modified June 24, 2009. Accessed April 15, 2014.
  24. 24. Statistics Canada. Canadian Community Health Survey (CCHS). Detailed information for 2005 (Cycle 3.1). Retrieved from: Published 2006. Modified October 24, 2007. Accessed April 15, 2014.
  25. 25. Statistics Canada. Canadian Community Health Survey—Annual Component (CCHS). Detailed information for 2007 (Cycle 4.1). Retrieved from: Published 2008. Modified June 7, 2008. Accessed April 15, 2014.
  26. 26. Statistics Canada. Canadian Community Health Survey—Annual Component (CCHS). Detailed information for 2010. Retrieved from: Published 2011. Modified June 13, 2014. Accessed November 14, 2014
  27. 27. Mustard C, Derkson S, Berthelot J, Wolfson M. Assessing ecologic proxies for household income: a comparison of household and neighborhood level income measures in the study of population health status. Health and Place. 1999; 5(2): 157–71. pmid:10670997
  28. 28. Health Canada. Canadian Community Health Survey, Cycle 2.2, Nutrition (2004)—Income-Related Household Food Security in Canada. Ottawa, ON: Office of Nutrition Policy and Promotion, Health Products and Food Branch, Health Canada; 2007. Report No.: 4696.
  29. 29. Hamelin AM, Mercier C, Bedard A. Perceptions of needs and responses in food security: divergence between households and stakeholders. Public Health Nutr. 2008; 11(12):1389–1396. pmid:18761760
  30. 30. Loopstra R, Tarasuk V. Perspectives on community gardens, community kitchens and the Good Food Box program in a community-based sample of low income families. Can J Public Health. 2013; 104(1): E55–59. pmid:23618120
  31. 31. Loopstra R, Tarasuk V. The relationship between food banks and household food insecurity among low-income Toronto families. Can Public Policy. 2012; 38(4): 497–514.
  32. 32. Tarasuk V, Dachner N, Hamelin AM, Ostry A, Williams P, Bosckei E, et al. A survey of food bank operations in five Canadian cities. BMC Public Health. 2014; 14(1): 1234.
  33. 33. Ionescu-Ittu R, Glymour MM, Kaufman JS. A difference-in-difference approach to estimate the effect of income-supplementation on food insecurity. Prev Med. 2015;70:108–116. pmid:25475685
  34. 34. Li N, Dachner N, Tarasuk V. The impact of changes in social policies on household food insecurity in British Columbia, 2005–2012. Prev Med. 2016; 93: 151–158. pmid:27729259
  35. 35. McIntyre L, Dutton D, Kwok C, Emery J. Reduction of food insecurity in low-income Canadian seniors as a likely impact of a Guaranteed Annual Income. Can Pub Policy. 2016; 42(3):274–286.
  36. 36. Government of Ontario (2017). Ontario Basic Income Pilot. [online] Available at: [Accessed 23 Aug. 2017].
  37. 37. Bartfeld J, Gundersen C, Smeeding T, Ziliak J. eds. SNAP Matters: How Food Stamps Affect Health and Well Being. Redwood City, CA: Stanford University Press. 2015.
  38. 38. Swann C. Household history, SNAP participation, and food insecurity. Food Policy. 2017;73:1–9.
  39. 39. Gundersen C, Kreider B, Pepper J. Partial identification methods for evaluating food assistance programs: a case study of the causal impact of SNAP on food insecurity. Am J Ag Econ. 2017;99(4):875–894.
  40. 40. Gundersen C, Kreider B, Pepper J, Tarasuk V. Food assistance programs and food insecurity: implications for Canada in light of the mixing problem. Empirical Econ. 2017;52(3):1065–1087.