Skip to main content
Public Health Nutrition logoLink to Public Health Nutrition
. 2017 May 31;20(11):2023–2033. doi: 10.1017/S1368980017000489

Food security among individuals experiencing homelessness and mental illness in the At Home/Chez Soi Trial

Patricia O’Campo 1,2,*, Stephen W Hwang 1,3, Agnes Gozdzik 1, Andrée Schuler 1, Vered Kaufman-Shriqui 1,4, Daniel Poremski 1, Luis Ivan Palma Lazgare 1, Jino Distasio 5, Slimane Belbraouet 6, Sindi Addorisio 7
PMCID: PMC10261387  PMID: 28560947

Abstract

Objective

Individuals experiencing homelessness are particularly vulnerable to food insecurity. The At Home/Chez Soi study provides a unique opportunity to first examine baseline levels of food security among homeless individuals with mental illness and second to evaluate the effect of a Housing First (HF) intervention on food security in this population.

Design

At Home/Chez Soi was a 2-year randomized controlled trial comparing the effectiveness of HF compared with usual care among homeless adults with mental illness, stratified by level of need for mental health services (high or moderate). Logistic regressions tested baseline associations between food security (US Food Security Survey Module), study site, sociodemographic variables, duration of homelessness, alcohol/substance use, physical health and service utilization. Negative binomial regression determined the impact of the HF intervention on achieving levels of high or marginal food security over an 18-month follow-up period (6 to 24 months).

Setting

Community settings at five Canadian sites (Moncton, Montreal, Toronto, Winnipeg and Vancouver).

Subjects

Homeless adults with mental illness (n 2148).

Results

Approximately 41 % of our sample reported high or marginal food security at baseline, but this figure varied with gender, age, mental health issues and substance use problems. High need participants who received HF were more likely to achieve marginal or high food security than those receiving usual care, but only at the Toronto and Moncton sites.

Conclusions

Our large multi-site study demonstrated low levels of food security among homeless experiencing mental illness. HF showed promise for improving food security among participants with high levels of need for mental health services, with notable site differences.

Keywords : Food security, Homelessness, Randomized trial, Mental health


Food security is an ideal state when people at all times have access to sufficient, safe and nutritious food to remain healthy and active( 1 , 2 ). Food insecurity occurs when access to food is limited, inadequate or insecure to meet the dietary requirements for a productive and healthy life of individuals, families or households( 1 ). Food insecurity, with its associated health consequences, remains pervasive in Canada( 3 7 ). In 2012–2013, 13–14 % of North American households were food insecure( 8 , 9 ), with acute or chronic financial insecurity or poverty as the main determinant of household food insecurity( 10 12 ).

People experiencing poverty and homelessness are at heightened risk of experiencing hunger and food insecurity( 13 ). A national survey of individuals experiencing homelessness in the USA found that approximately 40 % of participants reported fasting for an entire day in the past month or were unable to afford food in the past month, while 12 % engaged in subsistence eating (eating out of trash cans or via hand-outs) in the last week( 13 ). In the same study, approximately three-fifths of the respondents also reported food inadequacy in terms of quantity or preference (61 %) and infrequent meals (57 %)( 13 ). In Toronto, Canada, Holland et al. reported that 72 % of individuals experiencing homelessness were food insecure; specifically, 30 % of the sample reported marginal levels of food security, 10 % low food security and 32 % very low food security( 14 ). A series of studies of youths experiencing homelessness in Toronto similarly demonstrated that this sub-population experiences nutritional deficiencies( 15 , 16 ), severe food insecurity (among 85 % of females and 73 % of males)( 17 ) and chronic food deprivation (among 43 % of females and 28 % of males)( 17 ).

Previous research has revealed that specific individual-level factors are associated with food security among individuals experiencing homelessness, including living at or below the poverty line, mental and physical health issues, increased rates of hospitalization and emergency department visits, and chronic homelessness( 13 , 18 , 19 ). Population-level factors are also associated with food security among individuals experiencing homelessness. Emergency shelter policies have been shown to constrain food choice by restricting the storage of perishable items and providing limited cooking facilities and food storage space. Such policies often lead to purchasing of non-perishable and less healthful food products( 20 , 21 ).

Although prior research has shown that up to 71 % of individuals with severe mental illness experience food insecurity( 22 24 ), to date, the prevalence of and factors associated with food insecurity have not been specifically examined in a sample of individuals experiencing homelessness and mental illness. We seek to add to this small but growing literature.

Interventions to improve food security among homeless people have focused primarily on charity food programmes such as food banks and soup kitchens( 25 , 26 ) and community-based initiatives such as community kitchens and gardens( 27 , 28 ). However, studies on these topics have been plagued by low participant rates( 7 , 25 , 29 , 30 ) and the evidence of their positive impacts on reducing food insecurity is inconclusive( 25 , 28 , 29 ). Housing First (HF), which combines permanent housing in conjunction with access to mental health supports, has emerged as a promising intervention for individuals experiencing homelessness and mental illness, and has been shown to be effective in improving residential stability, quality of life and health-service use( 31 35 ); however, the impact of HF on food security is unknown. We hypothesized that access to stable housing and mental health supports would improve food security among homeless adults experiencing mental illness. Thus the present study aimed to: (i) assess the levels and predictors of baseline food insecurity among individuals experiencing homelessness and mental illness participating in the At Home/Chez Soi study; and (ii) determine the effect of an HF intervention on food security over 18 months of follow-up.

Methods

At Home/Chez Soi study design

The At Home/Chez Soi study was a multi-site randomized controlled trial that examined the effectiveness of an HF intervention among adults experiencing both homelessness and mental illness across five sites in Canada( 31 , 33 , 36 ). HF offers individuals experiencing homelessness and mental illness permanent housing in conjunction with access to mental health support services, without the prerequisites for abstinence or treatment acceptance imposed by more traditional ‘treatment first’ interventions aimed at this population( 35 ). Details of the research protocol have been previously published( 36 ). Briefly, eligibility for the At Home/Chez Soi study included: (i) legal adult age (≥18 years; ≥19 years in Vancouver); (ii) absolute homelessness or being precariously housed; and (iii) severe mental illness with or without a concurrent substance use problem. Participants were excluded if they were not legally residing in Canada or were already receiving assertive community treatment (ACT) or intensive case management (ICM)( 36 ). The study was approved by the research ethics boards of all participating institutions.

Prior to randomization, participants were classified as high or moderate need based on their need level for mental health services. High need (HN) participants were identified as having: (i) a Multnomah Community Ability Scale (MCAS)( 37 ) score of ≤62; (ii) a Mini International Neuropsychiatric Interview 6.0 (MINI 6.0)( 38 ) diagnosis of current psychotic or bipolar disorder (or an observation of psychotic behaviour); and (iii) one of the following criteria: ≥2 hospitalizations for mental illness in any one of the past 5 years, co-morbid substance use or recent arrest/incarceration. Moderate need (MN) participants were identified as all others who met eligibility criteria but were not identified as HN. People with HN for mental health services are best served by a multidisciplinary ACT team, which provides comprehensive 24 h/d mental health and crisis services. ICM provides a lower intensity of mental health services for people who do not require ACT: case managers work one-on-one with the client to assess his or her needs and secure necessary services from community-based providers. As a result, participants in the HN group were randomized to HF and ACT or a standard-care treatment as usual (TAU) group, while those in the MN group were randomized to HF and ICM or TAU. In Moncton, both MN and HN participants were randomized to HF and ACT or TAU. The protocol also included the addition of site-specific intervention arms that have been adapted to the local context (see Fig. 1 for flow diagram).

Fig. 1.

Fig. 1

Participant flow diagram (ACT, assertive community treatment)

Participants randomized to the HF intervention were provided with housing in areas of the city they preferred. To help facilitate participant community integration, housing was scattered in units throughout the city (‘scattered-site’) and a maximum of 20 % of the total units in any one building or residence were dedicated to study participants( 36 ). In addition to housing, intervention participants also received mental health services offered via either ICM or ACT, which were provided off-site and not tied to their tenancy. TAU participants were provided with a list of existing resources in their city, which they could access at their choosing. Sites varied in the number and extent of services available; however, some access to food banks and emergency shelters and drop-in centres that offered meals was available at all sites and available to participants in both randomization groups. All participants were followed for 2 years post-randomization.

Participants

The sample consisted of 2148 individuals experiencing homelessness and mental illness who were enrolled in the At Home/Chez Soi study from October 2009 to July 2011. All participants provided written informed consent and received an honorarium, ranging from $CAN 10 to $CAN 80, depending on the site and interview duration, for their participation in the study.

Data collection

Participants completed interviews at study entry and subsequently every 3 months during the 24-month period following enrolment. All study interviews were conducted by trained interviewers who input the data directly into a secure online database. In addition to food security, the survey assessed sociodemographic characteristics, health-service use, housing situation, community functioning, physical and mental health status and substance use, which have been described in detail in a former publication( 36 ).

Variables

Food security status, the main outcome, was assessed every 6 months, using a modified version of the US Food Security Survey Module (US FSSM)( 39 ) for single adults, with the period of interest spanning the 30d prior to the interview. This instrument, previously tested in a sample of individuals who were homeless, has shown moderate agreement with the original version of the US FSSM and was preferred over the original US FSSM instrument as being more relevant to homeless people( 14 ). It is important to note that while frequently used as a measure of food security, the US FSSM measures food security as resulting directly from constraints of financial resources. As a result, it does not encompass the multifaceted dimensions of food security( 39 ), which are captured by the FAO’s definition and include ‘physical, social and economic access to sufficient, safe and nutritious food which meets their dietary needs and food preferences for an active and healthy life’( 2 , 40 ). The resulting total scores for the US FSSM scale range from 0 to 10 and are classified into four food security status groups: (i) high (score of 0); (ii) marginal (score of 1 or 2); (iii) low (score of 3–5); (iv) and very low (score of 6–10). These updated categories were outlined by the US Department of Agriculture in 2006, based on recommendations from the Committee on National Statistics (Table 1)( 41 ). Prior to these recommendations, a score of 0 was defined as ‘food secure’, while a score of 1 or 2 was ‘food insecure without hunger’, 3–5 was ‘food insecure with hunger (moderate)’ and 6–10 was ‘food insecure with hunger (severe)’. Since 2006, the updated labels interpret all categories in terms of level of food security (very low to high). According to the US FSSM guide, the combination of the first two categories (high and marginal food security) can continue to be considered ‘food secure’ while the latter two categories (low and very food security) can be considered ‘food insecure’( 41 ).

Table 1.

Old and new categories of food security from the US Food Security Survey Module (US FSSM)( 41 )

US FSSM score Old category label New category label Definition
0 Food security High food security No reported indications of food access problems or limitations
1–2 Food insecurity without hunger Marginal food security One or two reported indications of food insecurity, typically relating to anxiety over adequate food or shortage of food in the house. Little or no indication of changes in diets or food intake
3–5 Food insecurity with hunger (moderate) Low food security Reports of reduced quality, variety or desirability of diet. Little or no indication of reduced food intake
6–10 Food insecurity with hunger (severe) Very low food security Reports of multiple indications of disrupted eating patterns and reduced food intake

Other variables used in our analyses included the MCAS( 37 ) to assess community functioning and the Colorado Symptom Index (CSI)( 42 ) to assess psychiatric symptom severity. For the CSI, we created a dichotomous variable (<30 v. ≥30), as prior research indicates that scores higher than 30 can be used to predict a psychiatric diagnosis( 42 ). Two variables assessed drug or alcohol problems among participants: the number of days in the past 30d in which alcohol or drug problems were experienced and the percentage of income spent on alcohol or non-prescription drugs. Four self-reported physical health conditions were included based on their hypothesized association with food intake: ulcers, bowel problems, high blood pressure and diabetes. Information about service use was included, specifically whether the participant had seen a health or social services provider at his or her office in the past month and any emergency room visits in the past 6 months. Demographic characteristics including age, sex, study site and duration of homelessness (dichotomized as <3 years v. ≥3 years) were also included.

Statistical analysis

Descriptive statistics were first generated and stratified by level of need for mental health services. We then used logistic regression models to determine associations between high or marginal levels of food security status and several sociodemographic covariates for participants at study enrolment. We included variables that were selected a priori to be potentially associated with food security: age, sex, duration of homelessness, MCAS, CSI, days experienced drug/alcohol problems, percentage of income spent on alcohol/drugs, physical health problems and service use.

To determine the impact of the HF intervention on food security, negative binomial regression models were used due to overdispersed count data for the number of times participants achieved ‘food security’ (either high or marginal food security on the US FSSM)( 41 ) between 6 and 24 months after randomization. For assessment of change in food security, we excluded baseline data, as the enrolment observation points would not reflect the impact of the intervention. To retain our large sample size, we took a conservative approach and assigned values of ‘food insecurity’ (either low or very low food security on the US FSSM) to participants with missing US FSSM data. We used descriptive statistics to test if any baseline variables differed between participants with complete US FSSM data and those with missing data; variables that differed significantly between the groups were included as covariates in the negative binomial regression models.

Models tested the main effects of treatment group and study site as well as an interaction between treatment group and study site. The model estimates the rate ratios and 95 % confidence intervals for counts of the number of times participants achieved high or marginal food security on the US FSSM between 6 and 24 months. All statistical analyses were performed using the statistical software package SAS version 9.4. A two-tailed test was used and a P value <0·05 was considered statistically significant( 43 ).

Results

Baseline characteristics of study participants are shown in Table 2. We obtained information about baseline food security status for 2097 participants, 914 and 1183 from the HN and MN groups, respectively. Interestingly, fewer HN participants had marginal or high food security (n 347, 38 %) compared with MN participants (n 517, 44 %).

Table 2.

Characteristics of At Home/Chez Soi study participants at enrolment for all five sites by study arm. Participants were individuals (n 2148) experiencing homelessness and mental illness enrolled at five Canadian sites (Moncton, Montreal, Toronto, Winnipeg and Vancouver), October 2009 to July 2011

MN (n 1198) HN (n 950)
HF (n 689) TAU (n 509) HF (n 469) TAU (n 481)
Characteristics n or mean % or sd n or mean % or sd P n or mean % or sd n or mean % or sd P
Demographic variables
Age (years) 0·92 0·22
18 to <25 57 8·3 45 8·8 56 11·9 46 9·6
25 to <35 140 20·3 100 19·7 132 28·1 130 27·0
35 to <45 179 26·0 136 26·7 128 27·3 141 29·3
45 to <55 235 34·1 164 32·2 126 26·9 120 25·0
55+ 78 11·3 78 12·6 27 5·8 44 9·2
Male 449 65·2 346 68·0 0·31 320 68·2 329 68·4 0·72
Total income last month ($CAN), mean and sd 644·81 505·37 704·66 718·70 0·63 733·54 814·25 649·38 604·59 0·25
Site <0·01 0·98
Moncton 101 21·5 100 20·8
Montreal 204 29·6 102 20·0 81 17·3 82 17·1
Toronto 204 29·6 174 34·2 97 20·7 100 20·8
Winnipeg 181 26·3 133 26·1 100 21·3 99 20·6
Vancouver 100 14·5 100 19·7 90 19·2 100 20·8
Homelessness
Lifetime duration of homelessness (years), mean and sd 4·6 5·6 4·4 5·1 0·89 5·3 6·1 5·0 5·9 0·41
Lifetime duration of homelessness ≥3 years 326 48·4 237 47·4 0·74 241 54·8 231 51·8 0·37
Community functioning
MCAS total score, mean and sd 64·7 6·2 64·7 6·1 0·91 54·8 7·2 54·5 7·1 0·58
Mental health and substance use
CSI total score≥30 500 79·4 364 80·2 0·74 285 76·6 328 80·4 0·20
Days in the past month experienced alcohol problems, mean and sd 5·5 10·4 4·8 9·42 0·64 5·6 10·7 5·9 10·5 0·58
Days in the past month experienced drug problems, mean and sd 6·8 11·2 6·1 10·7 0·89 8·1 12·2 8·1 12·1 0·81
Amount of money ($CAN) spent on alcohol during the past month, mean and sd 76·10 179·28 92·71 215·05 0·05 119·16 314·81 94·89 257·85 0·91
Amount of money ($CAN) spent on drugs during the past month, mean and sd 199·27 625·58 228·26 594·41 0·64 226·88 570·25 236·45 688·72 0·30
Percentage of money spent on alcohol, mean and sd 14·8 28·8 15·7 28·0 0·14 15·7 29·3 14·3 27·2 0·97
Percentage of money spent on drugs, mean and sd 20·5 33·7 20·6 33·5 0·84 23·6 34·2 19·9 31·6 0·08
Physical health
Ulcer (stomach or intestine) 84 12·2 63 12·4 0·92 63 13·4 72 15·0 0·43
Bowel problems (Crohn’s disease or colitis) 67 9·7 51 10·0 0·87 47 10·0 53 11·0 0·59
High blood pressure 153 22·2 102 20·0 0·32 99 21·1 98 20·4 0·89
Diabetes 53 7·7 41 8·1 0·84 44 9·4 54 11·2 0·35
Service use
In past month, seen a health/social services provider at their office 565 83·2 442 88·4 0·01 343 76·4 361 78·3 0·53
In the past 6 months, been to a hospital emergency room 381 56·1 301 60·7 0·12 274 61·4 287 62·7 0·70
Baseline food security status 0·24 0·85
Very low food security 249 36·7 203 40·4 203 45·0 209 45·1
Low food security 131 19·3 83 16·5 72 16·0 83 17·9
Marginal food security 152 22··4 123 24·4 97 21·5 95 20·5
High food security 148 21·8 94 18·7 79 17·5 76 16·4

MN, moderate need; HN, high need; HF, Housing First; TAU, treatment as usual; MCAS, Multnomah Community Ability Scale; CSI, Colorado Symptom Index.

Data are presented as n and % unless indicated otherwise.

There were no significant differences in baseline food security levels or any other baseline characteristics between the HF and TAU arms for the HN group.

In the MN group, a statistically significant association was observed between intervention arm and site (P<0·01). Moreover, a greater proportion of MN participants in the TAU arm saw a health or social services provider in the past month compared with those in the HF arm (88·4 v. 83·2 %; P=0·01). Finally, TAU participants spent more money on alcohol in the past 30d compared with HF participants ($CAN 92·71 (sd 215·05) v. $CAN 76·10 (sd 179·28); P=0·05).

Multiple logistic regression results of predictors of baseline food security

The results of the multiple logistic regression analyses are presented in Table 3. In the MN group, adjusted analyses revealed that the odds of reporting high or marginal food security status at baseline increased by 22 % for each 10-year increment of age over 18 years (adjusted OR (AOR)=1·22; 95 % CI 1·04, 1·42; P=0·02). Males compared with females were 32 % less likely to report high or marginal food security status at baseline (AOR=0·68; 95 % CI 0·48, 0·97; P=0·03). Individuals experiencing higher (CSI score≥30) v. lower levels of mental health symptoms were 51 % less likely to report high or marginal food security at baseline (AOR=0·49; 95 % CI 0·33, 0·74; P<0·01).

Table 3.

Unadjusted and adjusted odds ratios for variables associated with high or marginal food security status at baseline* among At Home/Chez Soi study participants for all five sites by need level. Participants were individuals (n 2148) experiencing homelessness and mental illness enrolled at five Canadian sites (Moncton, Montreal, Toronto, Winnipeg and Vancouver), October 2009 to July 2011

MN (n 715) HN (n 535)
Variable UOR 95 % CI P AOR 95 % CI P UOR 95 % CI P AOR 95 % CI P
Demographic variables
Age at baseline 1·23 1·11, 1·36 <0·01 1·22 1·04, 1·42 0·02 1·02 0·90, 1·15 0·74 0·84 0·69, 1·02 0·07
Male 0·71 0·55, 0·90 <0·01 0·68 0·48, 0·97 0·03 1·13 0·85, 1·51 0·39 1·37 0·86, 2·16 0·18
Homelessness variable
Homelessness duration≥3 years 0·66 0·52, 0·84 <0·01 0·86 0·62, 1·18 0·34 0·99 0·76, 1·31 0·98 1·04 0·68, 1·60 0·85
Community functioning variable
MCAS total score 1·12 1·02, 1·24 0·02 1·07 0·93, 1·24 0·37 0·88 0·80, 0·97 0·01 1·01 0·85, 1·19 0·93
Mental health and substance use variables
CSI total score≥30 0·41 0·30, 0·56 <0·01 0·49 0·33, 0·74 <0·01 0·35 0·24, 0·49 <0·01 0·44 0·27, 0·71 <0·01
Days in the past month experienced alcohol problems 0·96 0·95, 0·98 <0·01 0·99 0·97, 1·01 0·43 0·98 0·96, 0·99 0·02 0·99 0·97, 1·02 0·64
Days in the past month experienced drug problems 0·97 0·96, 0·98 <0·01 0·98 0·97, 1·00 0·10 0·97 0·95, 0·98 <0·01 1·00 0·98, 1·02 0·81
Percentage of income spent on alcohol 0·90 0·86, 0·94 <0·01 0·99 0·92, 1·06 0·75 0·94 0·89, 0·99 0·03 0·97 0·88, 1·06 0·44
Percentage of income spent on drugs 0·93 0·89, 0·97 <0·01 0·96 0·90, 1·02 0·18 0·86 0·82, 0·91 <0·01 0·84 0·77, 0·92 <0·01
Physical health variables
Ulcer (stomach or intestine) 0·55 0·38, 0·79 <0·01 0·69 0·41, 1·16 0·16 0·56 0·37, 0·85 <0·01 0·75 0·40, 1·38 0·35
Bowel problems (Crohn’s disease or colitis) 0·85 0·58, 1·25 0·41 1·50 0·88, 2·57 0·14 0·73 0·47, 1·14 0·17 0·93 0·45, 1·89 0·83
High blood pressure 1·12 0·84, 1·48 0·43 1·23 0·83, 1·82 0·30 0·65 0·47, 0·92 0·01 0·88 0·51, 1·52 0·65
Diabetes 1·03 0·67, 1·57 0·90 0·56 0·30, 1·07 0·08 0·74 0·47, 1·17 0·20 0·72 0·35, 1·50 0·38
Service variables
Seen health/social services provider in past month 0·93 0·67, 1·28 0·65 1·05 0·64, 1·72 0·85 0·77 0·56, 1·05 0·10 1·25 0·77, 2·05 0·37
Any emergency room visits in the past 6 months 0·79 0·63, 1·00 0·05 0·80 0·58, 1·11 0·18 0·78 0·59, 1·03 0·08 0·71 0·47, 1·07 0·10

MN, moderate need; HN, high need; UOR, unadjusted odds ratio; AOR, adjusted odds ratio; MCAS, Multnomah Community Ability Scale; CSI, Colorado Symptom Index.

*

The analysis was also adjusted for site (data not shown).

OR in 10·0 units.

OR in 5·0 units.

In the HN group, individuals reporting higher levels of psychiatric symptom severity were 56 % less likely to report high or marginal food security status at baseline (AOR=0·44; 95 % CI 0·27, 0·71; P<0·01). Moreover, among HN participants, for each 10 % increase in the amount of income spent on drugs, participants were 16 % less likely to report high or marginal food security status at baseline (AOR=0·84; 95 % CI 0·77, 0·92; P<0·01).

Impact of Housing First on food security over the follow-up period

A non-negligible number of participants did not complete the modified US FSSM during the 6-, 12-, 18- or 24-month follow-up visits, for whom we conservatively assigned values of ‘food insecure’ (low or very low food security). In total, of the 950 HN participants, 202 were missing one report of the US FSSM, 109 were missing two data points and 159 were missing three or four US FSSM observations; for the MN group the numbers were 206, 103 and 157, respectively, out of a total of 1198 MN participants. We found a statistically significant difference in age between those with and without missing US FSSM data, for both the MN (40·3 v. 43·3 years) and the HN (38·6 v. 40·2 years) group, respectively. No significant differences between those with and without missing US FSSM data were noted for gender, lifetime duration of homelessness, presence of health conditions such as ulcers or diabetes or high blood pressure, social service utilization and proportion of money spent on alcohol or drugs. In order to adjust for age differences between those with and without missing data, we included participant age as a covariate in the statistical models.

Over half of our sample was able to achieve high or marginal food security during the 18-month follow-up period and across our four trial arms between 35 and 38 % never achieved high or marginal food security during follow-up (Fig. 2). The different arms ranged from 16 to 22 % in the proportion of participants who achieved marginal to high food security three or more times over 18 months of follow-up.

Fig. 2.

Fig. 2

Percentage of the sample of At Home/Chez Soi study participants who achieved high or marginal food security a given number of times over the 18-month follow-up period (Inline graphic, zero times; Inline graphic, one time; Inline graphic, two times; Inline graphic, three or more times), by need level (HN, high need; MN, moderate need) and randomization group (HF, Home First; TAU, treatment as usual). Participants were individuals (n 2148) experiencing homelessness and mental illness enrolled at five Canadian sites (Moncton, Montreal, Toronto, Winnipeg and Vancouver), October 2009 to July 2011

Among the MN group, the negative binomial regression analyses showed no significant differences between the HF and TAU study arms with respect to the number of times high or marginal food security status was achieved over the 18-month follow-up period (Fig. 2). Moreover, the interaction between treatment arm and study site was not significant for the MN group.

Unlike the MN groups, there were statistically significant differences between treatment arms among HN participants. Overall, 61 % of the HF arm compared with 54 % of the TAU arm achieved marginal to high food security (z =−2·18, P=0·02).

When examined by site, the HN treatment arms of Toronto and Moncton sites had higher rates of achieving high or marginal food security compared with the TAU groups over the 18-month study period (Fig. 3). The rate of achieving high or marginal food security for the HF arm compared with the TAU arm increased by a factor of 1·42 (95 % CI 1·04, 1·95; P=0·03) for Moncton and 1·48 (95 % CI 1·11, 1·97; P<0·01) for Toronto.

Fig. 3.

Fig. 3

Mean (with 95 % CI represented by vertical bars) number of times At Home/Chez Soi study participants achieved high or marginal food security over the 18-month follow-up period, by study site and randomization group (Inline graphic, HN–HF; Inline graphic, HN–TAU; Inline graphic, MN–HF; Inline graphic, MN–TAU). The table below shows rate ratios (95 % CI) for the Home First (HF) group compared with the treatment as usual (TAU) group, at each site, by need level (HN, high need; MN, moderate need). Participants were individuals (n 2148) experiencing homelessness and mental illness enrolled at five Canadian sites (Moncton, Montreal, Toronto, Winnipeg and Vancouver), October 2009 to July 2011

Discussion

The present study is the first large-scale cross-site study to examine the prevalence of and factors associated with food security in a sample of individuals experiencing homelessness and mental illness. The prevalence of overall food security (high or marginal food security on US FSSM) observed in our study at baseline was higher than previously reported among homeless youth (8 %), lower than values reported by an earlier study of homeless adults in Toronto (58 %)( 14 ) and less than half the reported prevalence of high or marginal food security in the general population of Canada in 2012 (90 %)( 9 ). The results of the multiple logistic regression analyses suggest that in the absence of an intervention the level of food security at baseline was associated with a few individual-level factors: being male and young. These findings are in line with prior studies demonstrating that food security is associated with demographic variables such as gender and young age( 13 , 44 ). Consistent with our findings, prior research has also identified increased food insecurity among individuals experiencing homelessness who face additional obstacles, such as alcohol or substance use problems. Studies have suggested that individuals with dependence or addiction problems may have impaired decision making about how they spend their money( 13 ); however, others have failed to confirm this association( 18 ). In contrast with previous research( 13 , 18 ), we did not observe an association between food security and lifetime duration of homelessness of 3 years or longer. However, it is possible that this cut-off may have been too short for older adults who may have been on the street for many years. These discrepant findings may further be due to differences in the composition of populations studied (compared with other studies, the participants in the current study were all experiencing both homeless and mental illness)( 13 ), use of different measures of food security and use of different predictors in analyses( 13 , 18 ). Neither physical health variables, community functioning nor health-service use variables were associated with food security in our sample. Further longitudinal studies such as ours are needed to clarify the association between these factors and food security among individuals experiencing homelessness. Taken together, our findings contribute to a growing body of literature indicating the difficulties of achieving food security among individuals experiencing homelessness.

To our knowledge, ours is the first study to examine the impact of a supported housing intervention on food security in a sample of participants experiencing homelessness and mental illness. We hypothesized that access to housing would improve food security among HF participants by providing them with access to kitchen facilities where they can prepare and store food. Taking advantage of the longitudinal nature of our data, we documented that over half of our sample was able to achieve marginal to high food security at least one time over the 18-month period. Moreover, about one-fifth of participants in both treatment arms achieved moderate to high food security throughout the follow-up period. Interestingly, only within the HN group did those in the HF arm show greater improvements in food security over the 18 months of follow-up compared with those in the TAU arm.

Our findings show that the rate of achieving high or marginal food security was higher in the HF group compared with the TAU group in only two of the five study sites that had an HN group (Moncton and Toronto). This is not surprising given that each site had unique contexts and populations. For example, in Winnipeg, the majority of participants were of Aboriginal background and in Toronto the sample comprised a large proportion of ethno-racial and non-Canadian-born participants. There are several additional reasons for variation in intervention effects across sites. Although all study sites achieved high levels of fidelity to the HF programme model( 45 ), variation may have existed in the implementation of the HF intervention and it is likely that the ability of support teams to refer clients to services related to food security was not uniform. Site differences may also have arisen from heterogeneity in the composition of the homeless population and food landscapes in each community, including availability of affordable or accessible healthy food options. Moreover, participants in the TAU arms were not precluded from obtaining housing throughout the study period and some were successfully housed via existing programmes and services; however, HF participants in both need level groups were able to achieve greater housing stability compared with their TAU counterparts( 33 , 46 ).

It is also unclear to what extent our results are driven by other factors related to food security that were not assessed in our study such as household size, proximity to relevant resources and expenditures( 19 , 47 ). HF was unable to and did not seek to fully alleviate poverty, which may be an additional explanation for our findings. Social protection programmes, which include social assistance, social insurance and labour market protection, may be better equipped to address the multidimensional factors surrounding poverty and deprivation and may have a more tangible effect on food security in this population( 48 ). Moreover, it is also plausible that the HF intervention may not directly influence food security. In our sample, regardless of the treatment arm, over half of the participants achieved a high food security level at least once during the four follow-up visits. It is also important to note, however, that the US FSSM only captures food security arising from economic constraints( 2 , 40 , 41 ), and we are therefore unable to comment on whether the HF intervention was able to improve the physical and social domains of our participants’ food security. Further research is required to examine how these and other factors impact and improve food security.

Although our study has notable strengths (e.g. large sample size, longitudinal follow-up, diverse study sites, use of a validated food security measure), it also had the following limitations. Recall bias may have influenced the accuracy of participants’ self-reported data. Because participants received an honorarium for their participation, we cannot dismiss that this incentive may have also biased their answers. Given that all participants had to be experiencing severe mental illness with or without a concurrent substance use problem in order to be eligible for the study, our findings may not be generalizable to the entire homeless population. Blinding of interviewers and participants to their randomization was not possible due to the nature of the intervention and may have also resulted in biased estimates of treatment effects( 49 ).

In summary, food security was low among individuals experiencing homelessness and mental illness in the At Home/Chez Soi study and was associated with demographic variables and mental health and substance use problems. Although few participants achieved food security throughout the follow-up period, our findings suggest that an HF intervention does result in higher rates of food security compared with usual care over an 18-month study period, especially among HN individuals. Differences in the treatment effect across study sites indicate that variation between cities in terms of study population characteristics and food landscapes may play a factor. Food security continues to be a significant issue in Canada that requires coordinated and effective policies and programmes to ensure that homeless individuals with severe mental illness have adequate access to food assistances programmes and income for food.

Acknowledgements

Acknowledgements: The authors would like to thank the following for their contribution to this project and the research: Dr Jayne Barker (2008–2011), Cameron Keller (2011–2012) and Catharine Hume (2012–present), Mental Health Commission of Canada At Home/Chez Soi National Project Leads; Dr Paula Goering, the National Research Lead; the National Research Team, the five site research teams, the Site Coordinators, and the numerous service and housing providers; as well as the persons with lived experience. Financial support: This research was supported by the Mental Health Commission of Canada, via funds from Health Canada. The views expressed herein solely represent the authors. Conflict of interest: None. Authorship: P.O. and S.W.H. designed the study. All authors contributed to the formulation of the research questions, study design and interpretation of the empirical results. P.O., S.W.H., A.S., A.G. and L.I.P.L. planned the statistical analysis. L.I.P.L. performed all statistical analyses. P.O., A.S. and A.G. wrote the original draft and all authors provided comments and corrections on manuscript versions. All authors read and approved the final manuscript draft. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the institutional research ethics boards (REB) at each study site (University of Moncton REB in Moncton; Douglas Mental Health University Institute REB in Montreal; St. Michael’s Hospital REB in Toronto; University of Winnipeg REB in Winnipeg; Simon Fraser University REB in Vancouver). All participants received information on the study and provided their written informed consent. Trial registration: The study was registered with the International Standard Randomized Control Trial Number (ISRCTN) 42520374 on 18 August 2009.

References

  • 1. Tarasuk V (2005) Household food insecurity in Canada. Top Clin Nutr 20, 299–312. [Google Scholar]
  • 2. Food and Agriculture Organization of the United Nations (1996) Rome Declaration on World Food Security. http://www.fao.org/docrep/003/w3613e/w3613e00.HTM (accessed July 2016).
  • 3. Anema A, Vogenthaler N, Frongillo EA et al. (2009) Food insecurity and HIV/AIDS: current knowledge, gaps, and research priorities. Curr HIV/AIDS Rep 6, 224–231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Cook JT, Frank DA, Berkowitz C et al. (2004) Food insecurity is associated with adverse health outcomes among human infants and toddlers. J Nutr 134, 1432–1438. [DOI] [PubMed] [Google Scholar]
  • 5. Ramsey R, Giskes K, Turrell G et al. (2012) Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences. Public Health Nutr 15, 227–237. [DOI] [PubMed] [Google Scholar]
  • 6. Seligman HK, Laraia BA & Kushel MB (2010) Food insecurity is associated with chronic disease among low-income NHANES participants. J Nutr 140, 304–310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Tarasuk V, Dachner N, Hamelin AM et al. (2014) A survey of food bank operations in five Canadian cities. BMC Public Health 14, 1234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Coleman-Jensen A, Gregory C & Singh A (2014) Household Food Security in the United States in 2013. Economic Research Report no. ERR-173. Washington, DC: US Department of Agriculture, Economic Research Service.
  • 9. Tarasuk V, Mitchell A & Dachner N (2014) Household Food Insecurity in Canada, 2012. Toronto: Research to identify policy options to reduce food insecurity (PROOF); available at http://proof.utoronto.ca/wp-content/uploads/2014/05/Household_Food_Insecurity_in_Canada-2012_ENG.pdf. [Google Scholar]
  • 10. Gorton D, Bullen CR & Mhurchu CN (2010) Environmental influences on food security in high-income countries. Nutr Rev 68, 1–29. [DOI] [PubMed] [Google Scholar]
  • 11. McIntyre L, Bartoo AC, Pow J et al. (2012) Coping with child hunger in Canada: have household strategies changed over a decade? Can J Public Health 103, e428–e432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Office of Nutrition Policy and Promotion, Health Products and Food Branch (2007) Income-related Household Food Security in Canada. Catalogue no. H164-42/2007E. Ottawa: Health Canada.
  • 13. Lee BA & Greif MJ (2008) Homelessness and hunger. J Health Soc Behav 49, 3–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Holland AC, Kennedy MC & Hwang SW (2011) The assessment of food security in homeless individuals: a comparison of the Food Security Survey Module and the Household Food Insecurity Access Scale. Public Health Nutr 14, 2254–2259. [DOI] [PubMed] [Google Scholar]
  • 15. Li A, Dachner N & Tarasuk V (2009) Food intake patterns of homeless youth in Toronto. Can J Public Health 100, 36–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Tarasuk V, Dachner N & Li J (2005) Homeless youth in Toronto are nutritionally vulnerable. J Nutr 135, 1926–1933. [DOI] [PubMed] [Google Scholar]
  • 17. Tarasuk V, Dachner N, Poland B et al. (2009) Food deprivation is integral to the ‘hand to mouth’ existence of homeless youths in Toronto. Public Health Nutr 12, 1437–1442. [DOI] [PubMed] [Google Scholar]
  • 18. Baggett TP, Singer DE, Rao SR et al. (2011) Food insufficiency and health services utilization in a national sample of homeless adults. J Gen Intern Med 26, 627–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Weiser SD, Frongillo EA, Ragland K et al. (2009) Food insecurity is associated with incomplete HIV RNA suppression among homeless and marginally housed HIV-infected individuals in San Francisco. J Gen Intern Med 24, 14–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Richards R & Smith C (2006) The impact of homeless shelters on food access and choice among homeless families in Minnesota. J Nutr Educ Behav 38, 96–105. [DOI] [PubMed] [Google Scholar]
  • 21. Wicks R, Trevena LJ & Quine S (2006) Experiences of food insecurity among urban soup kitchen consumers: insights for improving nutrition and well-being. J Am Diet Assoc 106, 921–924. [DOI] [PubMed] [Google Scholar]
  • 22. Goetz J (2008) Exploring food insecurity among individuals with serious mental illness: a qualitative study. PhD Thesis, University of Kansas.
  • 23. Mangurian C, Sreshta N & Seligman H (2013) Food insecurity among adults with severe mental illness. Psychiatr Serv 64, 931–932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Muldoon KA, Duff PK, Fielden S et al. (2013) Food insufficiency is associated with psychiatric morbidity in a nationally representative study of mental illness among food insecure Canadians. Soc Psychiatry Psychiatr Epidemiol 48, 795–803. [DOI] [PubMed] [Google Scholar]
  • 25. Kirkpatrick SI & Tarasuk V (2009) Food insecurity and participation in community food programs among low-income Toronto families. Can J Public Health 100, 135–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Roncarolo F, Adam C, Bisset S et al. (2015) Traditional and alternative community food security interventions in Montreal, Quebec: different practices, different people. J Community Health 40, 199–207. [DOI] [PubMed] [Google Scholar]
  • 27. Armstrong D (2000) A survey of community gardens in upstate New York: implications for health promotion and community development. Health Place 6, 319–327. [DOI] [PubMed] [Google Scholar]
  • 28. Engler-Stringer R & Berenbaum S (2005) Collective kitchens in Canada: a review of the literature. Can J Diet Pract Res 66, 246–251. [DOI] [PubMed] [Google Scholar]
  • 29. Loopstra R & Tarasuk V (2012) The relationship between food banks and household food insecurity among low-income Toronto families. Can Public Policy 38, 497–514. [Google Scholar]
  • 30. Vozoris NT & Tarasuk VS (2003) Household food insufficiency is associated with poorer health. J Nutr 133, 120–126. [DOI] [PubMed] [Google Scholar]
  • 31. Aubry T, Tsemberis S, Adair CE et al. (2015) One-year outcomes of a randomized controlled trial of housing first with ACT in five Canadian cities. Psychiatr Serv 66, 463–469. [DOI] [PubMed] [Google Scholar]
  • 32. Padgett DK, Stanhope V, Henwood BF et al. (2011) Substance use outcomes among homeless clients with serious mental illness: comparing Housing First with Treatment First programs. Community Ment Health J 47, 227–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Stergiopoulos V, Hwang SW, Gozdzik A et al. (2015) Effect of scattered-site housing using rent supplements and intensive case management on housing stability among homeless adults with mental illness: a randomized trial. JAMA 313, 905–915. [DOI] [PubMed] [Google Scholar]
  • 34. Tsai J, Mares AS & Rosenheck RA (2010) A multi-site comparison of supported housing for chronically homeless adults: ‘housing first’ versus ‘residential treatment first’. Psychol Serv 7, 219–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Tsemberis S, Gulcur L & Nakae M (2004) Housing First, consumer choice, and harm reduction for homeless individuals with a dual diagnosis. Am J Public Health 94, 651–656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Goering PN, Streiner DL, Adair C et al. (2011) The At Home/Chez Soi trial protocol: a pragmatic, multi-site, randomised controlled trial of a Housing First intervention for homeless individuals with mental illness in five Canadian cities. BMJ Open 1, e000323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Barker S, Barron N, McFarland BH et al. (1994) A community ability scale for chronically mentally ill consumers: Part II. Applications. Community Ment Health J 30, 459–472. [DOI] [PubMed] [Google Scholar]
  • 38. Sheehan DV, Lecrubier Y, Sheehan KH et al. (1998) The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 59, Suppl. 20, 22–33. [PubMed] [Google Scholar]
  • 39. Bickel G, Nord M, Price C et al. (2000) Guide to Measuring Household Food Security, Revised 2000. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service. [Google Scholar]
  • 40. Food and Agriculture Organization of the United Nations (2008) An Introduction to the Basic Concepts of Food Security. Rome: FAO; available at http://www.fao.org/docrep/013/al936e/al936e00.pdf [Google Scholar]
  • 41. United States Department of Agriculture Economic Reserach Service (2015) Definitions of food security. http://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/definitions-of-food-security.aspx (accessed July 2016).
  • 42. Boothroyd R & Chen H (2008) The psychometric properties of the Colorado Symptom Index. Adm Policy Ment Health 35, 370–378. [DOI] [PubMed] [Google Scholar]
  • 43. Streiner DL & Norman GR (2011) Correction for multiple testing: is there a resolution? Chest 140, 16–18. [DOI] [PubMed] [Google Scholar]
  • 44. Hamelin AM & Hamel D (2009) Food insufficiency in currently or formerly homeless persons is associated with poorer health. Can J Urban Res 18, 1–24. [Google Scholar]
  • 45. Nelson G, Stefancic A, Rae J et al. (2014) Early implementation evaluation of a multi-site housing first intervention for homeless people with mental illness: a mixed methods approach. Eval Program Plann 43, 16–26. [DOI] [PubMed] [Google Scholar]
  • 46. Aubry T, Goering P, Veldhuizen S et al. (2016) A multiple-city RCT of housing first with assertive community treatment for homeless Canadians with serious mental illness. Psychiatr Serv 67, 275–281. [DOI] [PubMed] [Google Scholar]
  • 47. Furness BW, Simon PA, Wold CM et al. (2004) Prevalence and predictors of food insecurity among low-income households in Los Angeles County. Public Health Nutr 7, 791–794. [DOI] [PubMed] [Google Scholar]
  • 48. Food and Agriculature Organization of the United Nations (2015) The State of Food and Agriculture 2015. Social Protection and Agriculture: Breaking the Cycle of Rural Poverty. Rome: FAO; available at http://www.fao.org/3/a-i4910e.pdf [Google Scholar]
  • 49. Karanicolas PJ, Farrokhyar F & Bhandari M (2010) Practical tips for surgical research: blinding: who, what, when, why, how? Can J Surg 53, 345–348. [PMC free article] [PubMed] [Google Scholar]

Articles from Public Health Nutrition are provided here courtesy of Cambridge University Press

RESOURCES