Skip to main content
Download PDF

Prevalence and sociodemographic correlates of food insecurity among post-secondary students and non-students of similar age in Canada

BMC Public Health volume 23, Article number: 954 (2023) Cite this article

Abstract

Background

The results of several recent campus-based studies indicate that over half of post-secondary students in Canada are food insecure, but the vulnerability of this group has not been considered in research on predictors of food insecurity in the Canadian population. Our objectives were to (1) compare the prevalence of food insecurity among post-secondary students and non-students of similar age; (2) examine the relationship between student status and food insecurity among young adults while accounting for sociodemographic characteristics; and (3) identify the sociodemographic characteristics associated with food insecurity among post-secondary students.

Methods

Using data from the 2018 Canadian Income Survey, we identified 11,679 young adults aged 19–30 and classified them into full-time postsecondary students, part-time post-secondary students, and non-students. Food insecurity over the past 12 months was assessed with the 10-item Adult Scale from the Household Food Security Survey Module. Multivariable logistic regression analyses were used to estimate the odds of food insecurity by student status while accounting for sociodemographic characteristics, and to identify sociodemographic characteristics predictive of food insecurity among post-secondary students.

Results

The prevalence of food insecurity was 15.0% among full-time postsecondary students, 16.2% among part-time students, and 19.2% among non-students. After adjusting for sociodemographic factors, full-time postsecondary students had 39% lower odds of being food insecure as compared to non-students (aOR 0.61, 95% CI 0.50–0.76). Among postsecondary students, those with children (aOR 1.93, 95%CI 1.10–3.40), those living in rented accommodation (aOR 1.60, 95%CI 1.08–2.37), and those in families reliant on social assistance (aOR 4.32, 95%CI 1.60-11.69) had higher adjusted odds of food insecurity, but having at least a Bachelor’s degree appeared protective (aOR: 0.63, 95% CI 0.41–0.95). Every $5000 increase in adjusted after-tax family income was also associated with lower adjusted odds of food insecurity (aOR 0.88, 95%CI 0.84–0.92) among post-secondary students.

Conclusions

In this large, population-representative sample, we found that young adults who did not attend post-secondary school were more vulnerable to food insecurity, particularly severe food insecurity, than full-time post-secondary students in Canada. Our results highlight the need for research to identify effective policy interventions to reduce food insecurity among young, working-age adults in general.

Peer Review reports

Background

Household food insecurity is recognized as a serious public health issue in Canada, affecting an estimated 5.8 million people [1]. Systematically monitored since 2005, the socio-demographic and geographic correlates of food insecurity in Canada are well documented. Food insecurity is most prevalent among households with inadequate and insecure incomes and few assets [2,3,4,5,6], with risk greatest among lone-parent families, social assistance recipients, individuals who identify as Indigenous or Black, and people who live in Nunavut [2, 7]. However, the recent proliferation of food insecurity research on university campuses suggests extreme levels of vulnerability among post-secondary students – a group whose vulnerability has not been considered in analyses of food insecurity monitoring data in Canada. Similar to findings in the US [8,9,10], several campus-based surveys in Canada have reported rates of food insecurity that are several times higher than population prevalence estimates [11,12,13,14,15,16,17,18,19]. While differences in survey designs, sampling frames, response rates, and food insecurity measurements preclude direct comparisons between these studies and population monitoring data, the magnitude of the differences in prevalence is perplexing. Most recently, a survey of 6167 students on 13 university campuses conducted in Fall 2021 found that 56.8% of students were moderately or severely food insecure and noted a sharp increase from the prevalence charted in a 2016 survey [16]. The comparable population prevalence of moderate or severe household food insecurity in 2021 was 11.2% [20].

Understanding the scale and severity of food insecurity among post-secondary students in Canada is important given studies linking this condition to dietary compromises [21], poorer mental health [12, 13, 19, 22], poorer overall health [10, 12, 13], and poorer academic achievement [10, 12, 13, 21] among students. Many universities have implemented campus food banks, community gardens, and subsidized dining locations to combat food insecurity, but the high estimates of food insecurity among post-secondary students have also prompted calls for broader scale policy interventions including tuition supports, food subsidies [12, 13, 16] and a basic income program [23]. Yet, the absence of any systematic examination of food insecurity among post-secondary students in Canada through the lens of population-representative surveys limits understanding of how the problem documented through campus-based studies relates to the broader population health problem of food insecurity in this country.

Drawing on population-representative survey data for Canada, this study was undertaken to (1) compare the prevalence of food insecurity among post-secondary students and non-students of similar age; (2) examine the relationship between student status and food insecurity among young adults, while accounting for sociodemographic characteristics; and (3) identify the sociodemographic characteristics associated with food insecurity among post-secondary students.

Methods

Data source and study population

This study used data from the 2018 Canadian Income Survey (CIS). CIS is an annual cross-sectional survey administered by Statistics Canada and designed to provide information on the income, income sources, and sociodemographic characteristics of Canadians. The CIS is administered to a subsample of respondents in the Labor Force Survey (LFS) interviews, with the data from the CIS survey interviews supplemented with information from the LFS and income tax [24]. Generally, a knowledgeable member of the household provided the LFS information for all members of the household and the CIS information for members aged 16 and older, including questions related to food insecurity. The survey was conducted between January and June, 2019, by telephone interviews, personal visits, or online questionnaire. The overall response rate to CIS 2018 was 77.4% [24]. Although data were collected nationally, only data for the ten provinces were available at the time of this study.

We limited this study to young adults aged 19 to 30 years who were members of households sampled in CIS 2018. This age range was selected to maximize the probability of including post-secondary students and excluding young adults who are still attending high school. Although most Canadians have completed high school by 19 years of age [25], we further screened for indications of high school attendance, excluding individuals who reported attending school in 2018 but had not completed high school and whose highest level of education was less than high school completion. The final sample was 11,679.

Measures

Household food insecurity over the previous 12 months was assessed using the Household Food Security Survey Module (HFSSM). As noted above, one household member responded to this module on behalf of the entire household; in multi-adult households, the respondent may or may not have been the young adult included in our sample. We determined young adults’ food insecurity status from the 10-item adult subscale of the HFSSM, consistent with prior Canadian studies of post-secondary students that have used this module [11, 13, 17, 18]. Adult food insecurity status was defined as food secure (no affirmative responses), marginally food insecure (1 affirmative response), moderately food insecure (2–5 affirmative responses), and severely food insecure (≥ 6 affirmative responses) [26]. To prevent small cell counts, all regression models for objectives 2 and 3 were conducted on the binary variable (food secure vs. food insecure), aggregating marginal, moderate and severe food insecurity.

Post-secondary student status identified non-students, part-time students, and full-time students based on whether individuals attended school in 2018 and whether this attendance was part-time or full-time. The determination of post-secondary school attendance on this survey encompassed public and private universities and colleges and Collèges d’enseignement général et professionnel (CEGEPs) but did not differentiate between these institutions. The sociodemographic characteristics were identified based on prior research on the correlates of food insecurity in the general population and among post-secondary students [2,3,4,5,6,7, 11, 16, 17]. These included the individual’s age group, sex, immigration status, Indigenous status, highest level of education achieved, living arrangements, as well as province and size of the area of residence, major source of income of the economic family, homeownership, and adjusted, annual after-tax income of the economic family. Statistics Canada imputed missing data for these variables using nearest neighbor approach and deterministic imputation [24].

Economic family is defined by Statistics Canada as individuals who live in the same dwelling and are related to each other by blood, marriage, common-law, adoption, or a foster relationship [24]. Living arrangement was classified using economic family type and the individual’s relationship to the major income earner in the economic family. The categories of living arrangement included living alone with or without roommates, with family (parents or relatives), with partner only, or with children. The last category grouped couples with children and lone-parent families due to small cells.

Considering that many young adults lived with parents, relatives, a partner and/or children, the after-tax income of the economic family was used to account for the nature of shared resources and living expenses among family members. The income was adjusted for family size by dividing the family’s after-tax income by the square root of family size [27]. The major income source of the economic family identified whether the economic family was primarily reliant on employment income (wages, salaries, or self-employment), social assistance, or other sources. Homeownership assessed whether the dwelling was owned by a member of the economic family.

The affordability of post-secondary schooling differs by province, and this could affect students’ risk of food insecurity. To adjust for this potential source of variation, we adapted the Canadian Centre for Policy Alternatives’ “Cost of Learning Index” [28] to classify provinces into one of three categories of affordability of a university education (low, medium or high). This relative measure of affordability considers university tuitions and compulsory ancillary fees in relation to family incomes [28]. We updated the index published in 2013 to account for subsequent tuition policy changes implemented by provincial governments with respect to in-province students attending universities, as well as annual inflation of incomes between 2013 and 2018 (Additional file 1).

Statistical analysis

The prevalence of marginal, moderate, and severe food insecurity was estimated among non-students, part-time, and full-time students with 95% confidence intervals. Proportions and means were used to describe the sociodemographic characteristics of food-secure and food-insecure non-students, part-time students, and full-time students.

Logistic regressions were run on each covariate against the binary outcome of food insecurity to generate unadjusted odds ratios. Multivariable logistic regression models were then run to produce adjusted odds ratios of food insecurity by student status while accounting for demographic, geographic, and economic characteristics. We built a two-stage model, first adjusting only for the demographic and geographic characteristics of the individual (age group, sex, immigration and Indigenous status, education level, living arrangements, and province and size of area of residence), and then adding variables describing the material circumstances of the individual’s economic family (family after-tax income, major income source, and homeownership). Since economic factors are major predictors of food insecurity, this approach allowed us to observe how accounting for them influenced the relationships between food insecurity and the student status and demographic characteristics of the individuals. For all categorical predictors, the category with the most observations was the reference group. Inspection of the Tolerance and Variance Inflation Factor revealed no indication of multicollinearity in the adjusted models.

We identified the predictors of food insecurity among part-time and full-time post-secondary students, first estimating unadjusted odds ratios and then applying a multivariable logistic regression model including the aforementioned demographic, geographic and economic characteristics. We included two additional variables, employment status (full-time/part-time/did not work during the reference year) and receipt of scholarship (yes/no).

All analyses were conducted with SAS version 9.4, using SURVEY commands with the individual-level survey weights to calculate population-based estimates and bootstrap weights provided by Statistics Canada.

Results

Among the study population of young adults, 29.7% were full-time post-secondary students, 5.5% were part-time post-secondary students, and 64.9% were not students. The prevalence of food insecurity overall was 15.0% among full-time students, 16.2% among part-time students, and 19.2% among non-students (Fig. 1). The greatest difference between groups was in the prevalence of severe food insecurity; 5.2% (95% CI 4.7–5.7%) of non-students were severely food insecure compared to 3.4% (95% CI 2.4–4.4%) and 2.8% (95% CI 2.4–3.2%) for part-time and full-time students, respectively. The distribution of food insecurity status by socio-demographic characteristics, stratified by student status, is presented in Additional File 2.

Fig. 1
figure 1

Prevalence (95% Confidence Intervals) of marginal, moderate, and severe food insecurity by student status

Full size image

Full-time post-secondary students had 39% lower adjusted odds of food insecurity compared to non-students (aOR 0.61, 95% CI 0.50–0.76) once we adjusted for individual socio-demographic and geographic characteristics and family-level economic factors (Table 1). Neither the crude nor adjusted odds of food insecurity among part-time students compared to non-students were statistically significant.

Other characteristics associated with significantly lower odds of food insecurity among young adults in our fully adjusted model include having a Bachelor’s degree or above, living alone or with a spouse but no children, and having a higher family income (Table 1). The odds of food insecurity were significantly elevated for young adults who were Indigenous, those in families reliant on social assistance, and those living in rented accommodation (Table 1).

Table 1 Crude and adjusted odds of food insecurity in students (full- and part-time) as compared to non-students by demographic categories, Canada, 2018 (n = 11,679)
Full size table

Among post-secondary students, those with children (aOR 1.93, 95%CI 1.10–3.40), those living in rented accommodation (aOR 1.60, 95%CI 1.08–2.37), and those in families primarily reliant on social assistance (aOR 4.32, 95%CI 1.60-11.69) had higher adjusted odds of food insecurity (Table 2). Compared to students with some post-secondary education, students who had bachelor’s degrees or above had lower adjusted odds of food insecurity (aOR: 0.63, 95% CI 0.41–0.95). Every $5000 increase in adjusted after-tax family income was also associated with 12% lower adjusted odds of food insecurity (aOR 0.88, 95%CI 0.84–0.92). The unadjusted odds of food insecurity were 2 times as high for Indigenous (OR 2.07, 95%CI 1.29–3.30) and recent immigrant (OR 2.05, 1.23–3.41) students, but adjustment for other sociodemographic and economic characteristics resulted in statistically non-significant odds in both groups. The unadjusted and adjusted odds of food insecurity did not differ significantly by part- versus full-time student status or employment status, age, sex, receipt of scholarship, the relative affordability of a university education in the province, or the population density of the area of residence.

Table 2 Crude and adjusted odds of food insecurity among post-secondary students by demographic categories, Canada, 2018 (n = 4,102)
Full size table

Discussion

In this large, population-based sample of young adults, full- and part-time post-secondary students had slightly lower prevalence of food insecurity, especially severe food insecurity, than non-students. Contrary to the conclusions drawn from several recent campus-based surveys [11,12,13,14,15,16,17,18,19], we found no evidence that post-secondary students were disproportionately affected by food insecurity. Compared to young adults who were not students, being a full-time post-secondary student was associated with significantly lower odds of food insecurity, even after taking into account individual characteristics and material circumstances.

Among post-secondary students, food insecurity was closely linked to students’ material circumstances, as indicated in this study by family income, housing tenure, and family reliance on social assistance. This finding is consistent with the results of more in-depth studies of post-secondary students’ experiences of food insecurity [23]. The higher odds of food insecurity among students who lived with children has also been repeatedly observed in campus-based surveys [11, 16], and it highlights the heightened vulnerability of students who are parents. Our finding that there was no significant difference in the odds of food insecurity by full- versus part-time status is also consistent with prior campus-based studies [11,12,13]. We lacked the information to classify students according to their degree program or year of study, but our finding of lower odds of food insecurity among students who already had at least a Bachelor’s degree is consistent with other research suggesting that graduate students and those in medical school are at lower risk [11], perhaps because these students have better access to financial support.

Although several campus-based studies have documented an elevated risk of food insecurity among Indigenous and international students [11, 12, 14, 16, 17, 29], we found no significant association between Indigeneity or recent immigration and food insecurity once adjusting for several other characteristics. This suggests that the heightened vulnerability to food insecurity among students who were Indigenous or recent immigrants in our study sample was strongly influenced by other demographic and economic factors.

Whereas most Canadian studies of post-secondary students have been conducted with university students, our identification of post-secondary students included those attending universities, colleges, and CEGEPs, and we were unable to differentiate these groups. This broader definition of post-secondary students may explain why a higher proportion of students in our sample were living with family and engaged in full- or part-time work, compared to some campus-based surveys [11, 16, 17]. How the inclusion of CEGEP, college and university students affected our food insecurity prevalence estimates is unclear. In the US, higher rates of food insecurity have been documented among post-secondary students attending two- versus four-year programs [30], suggesting that students in colleges and CEGEP may be more vulnerable than university students, but similar comparisons have not been conducted in Canada yet.

The prevalence of food insecurity charted among post-secondary students in this study is much lower than rates reported from recent campus-based surveys [11,12,13,14,15,16,17,18,19]. One part of the explanation for this discrepancy may be the different measures of food insecurity used in some studies [12, 14, 16], but even campus-based surveys using the adult scale of the HFSSM or validated shorter forms of this module have yielded much higher prevalence estimates that we observed [11, 13, 15, 17, 19]. A growing body of evidence suggests that some post-secondary students interpret and respond to questions about food insecurity differently than the general population [9], so even when identical questionnaires are used, the results may not be comparable. Confusion may arise because the references to ‘household’ and financial constraints on standardized questionnaires may not reflect the living circumstances and resource constraints of relevance to students living on campuses [9]. It is also important to note that the campus-based surveys cited here had response rates ranging between 2% and 44% [11,12,13,14,15, 17,18,19]. With such low response rates, the samples are unlikely to be representative of the entire student population on these campuses; participation may be biased towards students who are more concerned about food access issues.

The significantly higher prevalence of severe food insecurity among non-students compared to students is important given the well-documented associations between severe food insecurity and morbidity and premature mortality in Canada [31,32,33]. Our sample was not large enough to support further interrogation of this finding, but more research is warranted to determine the individual and family circumstances that predispose young adults to severe food insecurity, given the profound negative health implications of this condition.

In interpreting our results, it is important to note that the young adults who comprise our sample were not necessarily the respondents to the HFSSM. This household-level measure was completed by one person in the household on behalf of all members. Young adults living with family members or relatives may have been less likely to be identified as the most knowledgeable household member to respond to the HFSSM. With 69% of post-secondary students in our sample living with family members or relatives, their food insecurity status could be misrepresented when someone else in the household responded to the HFSSM, although the direction of the bias is unknown. An additional limitation of this ‘proxy reporting’ is that the student may have been living away from home for part of the year and the person responding to the HFSSM may have been unaware of the student’s experience of food insecurity when absent from the family home. Related to this, we had no way to identify students living on campuses or students who were financially independent from their parents – a variable highly correlated with student food insecurity in other research [10]. We cannot gauge how much our use of a household-level measure of food insecurity potentially completed by a family member other than the young adult in our sample may have biased our results. Conducting a similar analysis with data from the 2014–2018 Current Population Survey in the US, Gundersen [8] determined that the food insecurity prevalence among college students whose food insecurity was reported by a parent or caregiver was not materially different from the prevalence among students who completed the HFSSM themselves. Whether this is similarly true in Canada remains to be determined.

Our study is further limited by our lack of data to examine food insecurity rates among the broad array of indicators of marginalization (e.g., sexual identity, disability) that have been identified as predictors of food insecurity among university students [14, 16].

We attempted to account for provincial differences in the affordability of university education by grouping provinces based on the “Cost of Learning” index [28], but this categorical variable was not a significant predictor of food insecurity in any of our models. One limitation of the index is that it did not account for costs associated with attending colleges or CEGEPs, which were also included in our study. More research is needed to identify the provincial and federal policies of most relevance to young adults in post-secondary education.

Finally, it should be noted that our analysis was conducted on population survey data collected before the onset of the COVID-19 pandemic in Canada. The population prevalence of household food insecurity has remained relatively stable through subsequent years of CIS [1], but whether the relationship between post-secondary student status and risk of food insecurity has changed over this period is unknown.

In conclusion, by comparing post-secondary students to non-students of similar age, our study suggests that attending post-secondary school is not a risk factor for food insecurity among young adults in Canada. To the contrary, young adults who do not attend post-secondary school appear more vulnerable to food insecurity, particularly severe food insecurity, than full-time post-secondary students. While previous campus-based studies have called for strategies and policies to address food insecurity among post-secondary students specifically [12, 13, 16], our population-based analysis highlights the need to develop effective interventions to address food insecurity among young adults in general. Studies have shown that income-based interventions, including child benefits [34,35,36] and public pension programs for seniors [37], reduced household food insecurity in Canada, but more research is needed to understand the most effective policy mechanisms to reduce food insecurity among young, working-age adults.

Data Availability

The data that support the findings of this study are accessible through Statistics Canada, but restrictions apply to data access. For the current study, the data were accessed under contract through the Statistics Canada Research Data Centre at the University of Toronto, and so are not publicly available. The data are available only with the permission of Statistics Canada. Inquiries regarding data access should be sent to the Canadian Research Data Centre Network at info@crdcn.ca.

References

  1. Tarasuk V, Li T, Fafard St-Germain AA. Household Food Insecurity in Canada, 2021. Toronto: Research to identify policy options to reduce food insecurity (PROOF); 2022.

  2. Tarasuk V, Fafard St-Germain A-A, Mitchell A. Geographic and socio-demographic predictors of household food insecurity in Canada, 2011–12. BMC Public Health. 2019;19(1):12.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Fafard St-Germain AA, Tarasuk V. Homeownership status and risk of food insecurity: examining the role of housing debt, housing expenditure and housing asset using a cross-sectional population-based survey of canadian households. International Journal for Equity in Health. 2020;19(5):1–12.

    Google Scholar 

  4. McIntyre L, Wu X, Fleisch VC, Emery JCH. Homeowner versus non-homeowner differences in household food insecurity in Canada. Journal of Housing and the Built Environment. 2016;31(2):349–66.

    Article  Google Scholar 

  5. 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. Canadian Public Policy. 2016;42(3):274–86.

    Article  Google Scholar 

  6. McIntyre L, Bartoo AC, Emery JC. When working is not enough: food insecurity in the canadian labour force. Public Health Nutr. 2014;17(1):49–57.

    Article  PubMed  Google Scholar 

  7. Dhunna S, Tarasuk V. Black-white racial disparities in household food insecurity from 2005–2014, Canada. Canadian Journal of Public Health. 2021;112(5):888–902.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Gundersen C. Are college students more likely to be food insecure than nonstudents of similar ages? Applied Economic Perspectives and Policy. 2021;43(4):1476–86.

    Article  Google Scholar 

  9. Ellison B, Bruening M, Hruschka D, Nikolaus C, van Woerden I, Rabbitt MP, et al. Viewpoint: Food insecurity among college students: a case for consistent and comparable measurement. Food Policy. 2021;101:102031.

    Article  Google Scholar 

  10. Bruening M, Argo K, Payne-Sturges D, Laska MN. The struggle is real: a systematic review of food insecurity on postsecondary education campuses. Journal of the Academy of Nutrition and Dietetics. 2017;117(11):1767–91.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Blundell L, Mathews M, Bowley C, Roebothan B. Determining student food insecurity at Memorial University of Newfoundland. Canadian journal of dietetic practice and research: a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada. 2019;80(1):14–21.

    Google Scholar 

  12. Entz M, Slater J, Desmarais A. Student food insecurity at the University of Manitoba. Canadian Food Studies. 2017;4(1):139–59.

    Google Scholar 

  13. Frank L. “Hungry for an education”: prevalence and outcomes of food insecurity among students at a primarily undergraduate university in rural Nova Scotia. Canadian Journal of Higher Education. 2018;48(2):109–29.

    Article  Google Scholar 

  14. Hamilton C, Taylor D, Huisken A, Bottorff J. Correlates of food insecurity among undergraduate students. Canadian Journal of Higher Education. 2020;50(2):15–23.

    Article  Google Scholar 

  15. Innis J, Bishop M, Boloudakis S. Food insecurity and community college students. Community College Journal of Research and Practice. 2020;44(9):694–9.

    Article  Google Scholar 

  16. Meal Exchange. 2021 National Student Food Insecurity Report. 2021.

  17. Olauson C, Engler-Stringer R, Vatanparast H, Hanoski R. Student food insecurity: examining barriers to higher education at the University of Saskatchewan. Journal of Hunger & Environmental Nutrition. 2018;13(1):19–27.

    Article  Google Scholar 

  18. Reynolds E, Johnson C, Jamieson JA, Mawhinney H. Prevalence and correlates of Food Insecurity among students attending a small, rural Canadian University. Canadian journal of dietetic practice and research: a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada. 2018;79(3):125–8.

    Google Scholar 

  19. Hattangadi N, Vogel E, Carroll LJ, Côté P. Is food insecurity associated with psychological distress in undergraduate university students? A cross sectional study. Journal of Hunger & Environmental Nutrition. 2021;16(1):133–48.

    Article  Google Scholar 

  20. Statistics Canada. Tables 13-10-0834-01: Food insecurity by economic family type 2022 [updated 2022-03-23. Available from: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310083401.

  21. Farahbakhsh J, Hanbasasa M, Ball G, Farmer A, Maximova K, Willows N. Food insecure student clients of a university-based food bank have compromised health, dietary intake and academic quality. Nutrition and Dietetics. 2017;74(1):67–73.

    Article  PubMed  Google Scholar 

  22. Howard AL, Barker ET. Mental health of students reporting food insecurity during the transition to university. Canadian journal of dietetic practice and research: a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada. 2021;82(3):125–30.

    Google Scholar 

  23. Power E, Dietrich J, Walter Z, Belyea S. “I don’t want to say I’m broke”:: Student experiences of food insecurity at Queen’s University in Kingston, Ontario, Canada. Canadian Food studies / La Revue canadienne des études sur l’alimentation. 2021;8(1).

  24. Statistics Canada. Canadian Income Survey (CIS). Detailed information for 2018 2020 [Available from: https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=1275662.

  25. McMullen K, Gilmore J. A note on high school graduation and school attendance, by age and province, 2009/2010. Statistics Canada; 2010.

  26. Government of Canada. Determining food security status: Government of Canada,; 2020 [updated 2020-02-18. Available from: https://www.canada.ca/en/health-canada/services/food-nutrition/food-nutrition-surveillance/health-nutrition-surveys/canadian-community-health-survey-cchs/household-food-insecurity-canada-overview/determining-food-security-status-food-nutrition-surveillance-health-canada.html.

  27. Statistics Canada. Low income lines: what they are and how they are created. Statistics Canada; 2016. Contract No.: Catalogue no. 75F0002M - No. 002.

  28. Macdonald D, Shaker E, Wodrich N. Degrees of Uncertainty. Navigating the Changing Terrain of University Finance. Canadian Centre for Policy Alternatives; 2013 Sep 2013.

  29. Hanbazaza M, Kebbe M, Perez A, Ball G, Farmer AP, Maximova K, et al. Food insecurity among international post-secondary students studying on a canadian campus: a qualitative description study. Canadian Journal of Higher Education. 2021;51(2):33–45.

    Article  Google Scholar 

  30. Blagg K, Gundersen C, Schanzenbach D, Ziliak J. Assessing food insecurity on campus. Washington DC: Urban Institute; 2017 August 2017.

  31. Jessiman-Perreault G, McIntyre L. The household food insecurity gradient and potential reductions in adverse population mental health outcomes in canadian adults. SSM -Population Health. 2017;3:464–72.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Men F, Gundersen C, Urquia ML, Tarasuk V. Association between household food insecurity and mortality in Canada: a population-based retrospective cohort study. Canadian Medical Association Journal. 2020;192(3):E53-E60.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Men F, Gundersen C, Urquia ML, Tarasuk V. Food insecurity is associated with higher health care use and costs among canadian adults. Health Affairs. 2020;39(8):1377–85.

    Article  PubMed  Google Scholar 

  34. Brown E, Tarasuk V. Money speaks: reductions in severe food insecurity follow the Canada Child Benefit. Prev Med. 2019;129:105876.

    Article  PubMed  Google Scholar 

  35. Ionescu-Ittu R, Glymour M, Kaufman J. A difference-in-difference approach to estimate the effect of income-supplementation on food insecurity. Preventive Medicine. 2015;70:108–16.

    Article  PubMed  Google Scholar 

  36. Tarasuk V, Li N, Dachner N, Mitchell A. Household food insecurity in Ontario during a period of poverty reduction, 2005–2014. Canadian Public Policy. 2019;45(1):93–104.

    Article  Google Scholar 

  37. McIntyre L, Kwok C, Emery JCH, Dutton DJ. Impact of a guaranteed annual income program on canadian seniors’ physical, mental and functional health. Canadian Journal of Public Health. 2016;107(2):e176-e82.

    Article  Google Scholar 

Download references

Acknowledgements

This research was conducted at Toronto Research Data Centre, a part of the Canadian Research Data Centre Network. This service is provided through the support of the University of Toronto, the Canada Foundation for Innovation, the Canadian Institutes of Health Research, the Social Sciences and Humanities Research Council, and Statistics Canada. All views expressed in this work are the authors’ own.

Funding

This study was supported by the Canadian Institutes of Health Research grant PJT 178380, awarded to Valerie Tarasuk. The funder had no role in the design and conduct of the study; collection, management, analysis and interpretation of data; or preparation, review, decision to submit for publication or approval of the manuscript.

Author information

Authors and Affiliations

  1. Dalla Lana School of Public Health, University of Toronto, Toronto, Canada

    Yichun Wang

  2. Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON, M5S 1A8, Canada

    Andrée-Anne Fafard St-Germain & Valerie Tarasuk

Authors
  1. Yichun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrée-Anne Fafard St-Germain
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Valerie Tarasuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

AA.F.S.G. and V.T. designed the research; Y.W. analyzed data and drafted the manuscript; AA.F.S.G. and V.T. revised the manuscript. All authors read and approved the final manuscript. AA.F.S.G. and Y.W. were supported by a Canadian Institutes of Health Research grant received by VT (PJT 178380).

Corresponding author

Correspondence to Valerie Tarasuk.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Human Research Ethics Board of the University of Toronto. Informed consent to participate was obtained by Statistics Canada during administration of the Canadian Income Survey. All methods were carried out in accordance with relevant guidelines and regulations and were approved by the Human Research Ethics Board of the University of Toronto.

Consent for publication

N/A. this was a secondary data analysis.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., St-Germain, AA.F. & Tarasuk, V. Prevalence and sociodemographic correlates of food insecurity among post-secondary students and non-students of similar age in Canada. BMC Public Health 23, 954 (2023). https://doi.org/10.1186/s12889-023-15756-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-023-15756-y

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us