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Inequalities in determinants of health among Aboriginal and Caucasian persons living with HIV/AIDS in Ontario: results from the positive spaces, healthy places study.

Aboriginal peoples in Canada are disproportionately affected by HIV/AIDS and account for a rising percentage of new HIV-positive test reports and AIDS diagnoses. (1) While Aboriginal peoples comprise 3.8% of the Canadian population, (2) they accounted for 8% of people living with HIV and 12.5% of new infections in 2008. Their HIV infection rate is 3.6 times higher than that of non-Aboriginal Canadians. (3)

Because Ontario does not routinely collect information on the ethnicity of people diagnosed with HIV, data on Aboriginal persons affected by HIV/AIDS in the province is inadequate. Based on the limited data available from two health unit areas that do collect ethnicity data--Toronto and Ottawa--of the 10,606 HIV cases reported between 1980 and 2004 (73% of HIV diagnoses in Ontario over that period), ethnicity was known for fewer than two thirds (6,463 cases or 61%). Of those 6,463 cases, Aboriginal peoples accounted for 88 infections (66 male and 22 female) or a rate of 1.4%. Although Ontario does collect race/ethnicity information more routinely for AIDS than HIV cases, only 71% of the 7,811 AIDS cases reported in Ontario between 1981 and 2004 identified ethnicity. Of these AIDS cases, 61 persons (50 male and 11 female) or 1.1% were among Aboriginal individuals. (4) Because of the inadequacy of the data, these figures likely under-represent the extent of HIV infection in Aboriginal peoples in Ontario.

Aboriginal peoples with HIV face disparities in HIV treatment and outcomes. They are more likely to: be diagnosed later, (5) initiate treatment later, (6) receive inadequate antiretroviral therapy, (7) die from AIDS without accessing antiretroviral therapy, (8) and experience higher mortality even after initiating antiretroviral treatment. (9)

The higher rates of infection and worse health outcomes seen in Aboriginal populations compared to non-Aboriginal populations are not unique to HIV/AIDS. Significant disparities between Aboriginal and non-Aboriginal Canadians have been documented across a wide range of health and social indicators, and research has pointed to historical, social, economic, and behavioural conditions and determinants that put Aboriginal peoples at higher risk of poorer health and health outcomes than non-Aboriginal Canadians. (10) Research has documented the inferior, inadequate, and often unhealthy housing conditions in Aboriginal communities and posited about the role housing conditions play, with other determinants of health, in contributing to health disparities. (11) While the focus of research in this area has historically been on the conditions of housing in Aboriginal communities on reserves, only 18.5% of Aboriginal populations were located on reserves in 2001. (12) Recent research has identified critical housing needs for Aboriginal peoples living off reserve, especially given the large numbers of Aboriginal Canadians (>50%) who migrate to large urban areas. (12) Compared to non-Aboriginal Canadians, Aboriginal peoples living off reserve are more likely to live in inadequate housing, including crowded homes and homes needing major repairs. (12)

In this study, we quantify social determinants of health, with a particular focus on housing, for samples of Aboriginal compared to Caucasian individuals living with HIV/AIDS in Ontario. This approach can begin to inform policies, programs and services that can help address health disparities.

METHODS

Study design and data collection

These analyses are based on data from the Positive Spaces, Healthy Places (PSHP) study, a longitudinal observational cohort of 602 individuals living with HIV in Ontario. The objective of PSHP is to explore the housing needs and experiences of persons living with HIV and assess the impact of housing on health and health-related quality of life outcomes. It is a community-based research (CBR) study within a determinants of health framework, designed and implemented with active participation of community members affected by HIV, consistent with the principle of Greater Involvement of People Living with or Affected by HIV/AIDS (GIPA). (13)

Our study (14) recruited a baseline sample of people living with HIV who were principally affiliated with or connected to communitybased AIDS service organizations in Ontario. To ensure the sample was as representative as possible, participants were recruited using a range of health and social service access points, including: shelters; agencies serving women, families and youth; Aboriginal organizations; transitional housing providers; and supportive housing agencies. Efforts were made to include harder-to-reach populations such as people who are homeless or unstably housed (i.e., individuals living in shelters, hotels, motels, or couch-surfing).

Participants were eligible for the study if they were HIVpositive, able to provide informed consent, and lived in Ontario. All participants were screened for eligibility, and informed consent was obtained prior to administering the questionnaire. All consents and questionnaires were conducted in person by peer research assistants (PRAs) who received training on various topics, including Aboriginal cultural and socio-economic issues. The study was approved by the Research Ethics Board of McMaster University, Hamilton, Ontario and the University of Toronto. The current study and analyses focus on data from the baseline questionnaire collected in 2006.

Measures

The questionnaire collected data on a comprehensive spectrum of issues related to the determinants of health, housing experiences, and health status of people living with HIV/AIDS. For this study, we analyzed a subset of data and items from the full questionnaire to compare the social determinants of health and housing characteristics for Aboriginal peoples with HIV with those of Caucasian persons living with HIV. Participants were asked which ethnic group they belonged to (e.g., English, Italian, Jamaican) and whether they were members of an Aboriginal group (i.e., First Nations, Inuit or Metis). For this study, individuals who reported being a member of an Aboriginal group, regardless of ethnicity, are classified as Aboriginal and those who identified as members of ethnic groups of European origin were categorized as Caucasian.

We examined socio-demographic characteristics (i.e., age, gender, sexual orientation, education, employment, and income), health-risk behaviours (i.e., alcohol use and drug use), and housing-related characteristics of participants. Standard validated instruments were used to assess alcohol use (Alcohol Use Disorders Identification Test (AUDIT)), (15) non-medicinal drug use (Drug Abuse Screening Test (DAST-20), (16) and depression (CES-D self-report depression scale). (17)

Given the focus on housing-related determinants of health, we analyzed data on participants': regions of residence (i.e., Eastern Ontario, Northern Ontario, South and South Western Ontario, and Greater Toronto Area); histories of incarceration and homelessness; housing stability (defined for purposes of the study as not having to move frequently, not being worried about housing and proportion of income spent on housing) and moves; rent payment characteristics; experiences of and perceived reasons for housing discrimination; and satisfaction with residence and location of residence.

Statistical analyses

All analyses were performed using SPSS 16.0 (SPSS Inc, Chicago, IL). For the two groups--Aboriginal peoples with HIV and Caucasian people with HIV--we compared socio-demographic determinants of health, and housing-related variables using two stages of analysis. In the first stage, means, medians, standard deviations, and inter-quartile ranges were calculated for continuous variables. Means were compared for continuous variables using t-tests and Wilcoxon rank-sum tests. Frequencies were calculated for categorical variables and were compared using Pearson's [chi square] tests and non-parametric [chi square] tests. Fisher's exact test was used for contingency tables in which 25% of the expected cell frequencies were less than five.

In the second stage, we used logistic regression to examine determinants of health independently associated with Aboriginal ethnicity, where we included variables selected using the backward stepwise logistic regression method and the Akaike Information Criteria method. (18)

RESULTS

Socio-demographic characteristics

Of the 602 individuals enrolled in the study, we excluded 79 participants who self-identified as members of African, Caribbean, and Asian/Pacific ethnic groups, yielding a sample of 523 individuals. Of those, 442 (85%) identified themselves as Caucasian, and the remaining 79 (15%) self-identified as Aboriginal (First Nations, Inuit or Metis). Compared to Caucasian participants, Aboriginal participants in the sample were generally younger (mean age 42 versus 44 years, p<0.05) and more likely to identify as female or transgender women (34% versus 17%, p<0.01) and heterosexual (46% versus 27%, p<0.01) (Table 1).

Compared to Caucasian participants, Aboriginal participants were more likely to have a lower level of education (39% versus 22%, p=0.01). While 11% of Aboriginal participants were employed compared to 21% of Caucasian participants, this difference was not statistically significant (p=0.056). However, there was a significant difference in the percentage of Aboriginal participants who reported an annual average income of less than $10,000 compared to Caucasian participants (23% versus 11%, p=0.01).

Health risk behaviours

Compared to Caucasian participants, Aboriginal participants were more likely to report harmful alcohol use, defined as AUDIT [greater than or equal to] 8 (31% versus 20%, p<0.05) and harmful non-medicinal drug use (DAST [greater than or equal to] 6) (44% versus 28%, p<0.01). The two populations did not differ significantly in self-reported number of depressive symptoms or self-reported general health status.

Housing-related characteristics

Compared to Caucasian participants, Aboriginal participants were more likely to live in Eastern or Northern Ontario (42% versus 23%, p<0.01), have a history of incarceration (52% versus 33%, p<0.01), and have a history of homelessness (63% versus 37%, p<0.01). The percentage of Aboriginal participants who reported perceived housing discrimination was significantly higher than that of Caucasian participants (49% versus 32%, p<0.01), with Aboriginal participants reporting discrimination on the basis of source of income, employment status, and race. Aboriginal participants were also more likely to live in unstable housing (i.e., live in hotels, shelters, motels, streets, parks, or couch-surf) (8% versus 2%, p<0.05). In terms of paying for housing, a nominally higher but not significant percentage of Aboriginal participants reported living in social housing or receiving rent subsidies; in contrast, Aboriginal participants were significantly less likely than Caucasian participants to report that paying rent was difficult or very difficult (55% versus 70%, p<0.01). This discrepancy may be due, in part, to higher access to rent subsidies or the lower cost of living and housing in the communities where Aboriginal participants lived (i.e., a large proportion lived in the Greater Toronto Area where there may be more affordable housing options). Aboriginal and Caucasian participants did not differ with respect to measures of satisfaction with their housing and neighbourhood (i.e., geographic location of residence, satisfaction with features of residence, and satisfaction with neighbourhood).

Multivariate logistic regression

Results of the fitted multivariate logistic regression model are presented in Table 2. After taking into account all significant differences, Aboriginal participants were more likely than Caucasian participants to be female or transgender women (Adjusted OR [AOR] 2.2; 95% CI 1.26-3.74), have an annual income of less than $10,000 (AOR 2.2; 95% CI 1.16-4.13), and have experienced homelessness (AOR 1.9; 95% CI 1.12-3.30).

DISCUSSION

This study primarily sought to explore the differences in determinants of health and housing-related characteristics between samples of Aboriginal and Caucasian persons with HIV in Ontario. Results of our bivariate analyses demonstrated that Aboriginal peoples with HIV in our sample were more likely to be younger, female or transgender women, and self-identify as heterosexual than Caucasian persons with HIV. They were also more likely to have low socio-economic status (i.e., have low education, be unemployed, and have low income) and have risky health behaviours (i.e., harmful use of alcohol and substances). With respect to housing and housing characteristics, we found that Aboriginal participants were more likely to have histories of incarceration or homelessness, to be homeless or live in unstable housing, and to experience housing-related discrimination. In multivariable analysis, gender, income, and history of homelessness remained strongly associated with Aboriginal ethnicity after controlling for other determinants.

Our study demonstrates that there are significant differences in the socio-demographic profile of Aboriginal individuals living with HIV/AIDS compared to Caucasian people living with HIV/AIDS in Ontario. The findings related to determinants of health and housing-related factors are consistent with existing knowledge about the challenging social, economic, and housing conditions that Aboriginal peoples in Canada face; in particular, Aboriginal individuals are more likely to be unemployed, have low income and have lower levels of educational attainment. (19) In terms of housing-related characteristics and conditions, Aboriginal peoples are more likely to have housing needs than non-Aboriginal Canadians and are over-represented in the homeless population. (20) The results are also consistent with a qualitative study that found that income security and housing were commonly cited concerns among Aboriginal women living with HIV/AIDS21 in British Columbia.

The results of this study are particularly important in a province where HIV/AIDS surveillance programs do not collect adequate data on ethnicity. The socio-economic and housing-related characteristics of Aboriginal peoples with HIV highlight the challenges in prevention, treatment, care and overall health promotion efforts in a population for which, as emphasized by others, (22-24) HIV is one among many issues and challenges. The higher likelihood of Aboriginal peoples with HIV having a low income, a history of homelessness, and unstable housing is particularly concerning given research that has demonstrated links between poverty and unstable housing, and non-optimal adherence to treatment and adverse treatment outcomes. (8,21)

A key strength of this study is the population-based sample that includes a wide range of vulnerable and hard-to-reach populations, including individuals living in unstable housing conditions. Unlike other studies that focused on specific Aboriginal populations (i.e., injection drug users, women, and youth), our sample reflects the health, social, and economic situations of a diverse group of populations affected by HIV. (25) However, some limitations must be acknowledged. Our data come from the Positive Spaces, Healthy Places study, whose participants were recruited through community-based AIDS Organizations agencies (CBAOs) and which was designed to examine the association between housing and health-related quality of life. As such, the findings may not reflect the characteristics of all Aboriginal and Caucasian persons living with HIV in Ontario, including those not receiving services from CBAOs. Other studies have pointed to the considerable role that stigma and AIDS phobia play in the lives of Aboriginal peoples with HIV, (20,26) which may have affected recruitment for this study.

In addition, standard measures of health may not capture the experiences and circumstances of Aboriginal peoples, such as the need to consider the collective experience of social suffering, (27) which may limit our ability to understand the implications of, or put into context, the social and economic circumstances of Aboriginal peoples with HIV reported here.

Despite the limitations, our findings shed light on the inequalities that exist between Aboriginal and Caucasian persons living with HIV with respect to socio-economic and housing conditions. Thus, policies and services that integrate income and employment support along with affordable and stable housing may have the potential to reduce health disparities and improve health outcomes for Aboriginal peoples with HIV. All interventions and strategies aimed at preventing HIV infection and improving quality of life for Aboriginal peoples with HIV should take into account the differences in age, gender, and sexual orientation found in this and other studies. Research examining the unique conditions and challenges faced by Aboriginal peoples with HIV is required to better understand their experiences and the implications of these social, economic, and housing factors on programs, policies, and services that would optimally support and care for Aboriginal peoples with HIV in Ontario and throughout Canada.

Acknowledgements: This work was supported by grants from the Canadian Institutes of Health Research, the Ontario Ministry of Health and Long-Term Care, the Ontario AIDS Network, the Wellesley Institute, and the Ontario HIV Treatment Network.

Conflict of Interest: None to declare.

Received: April 15, 2010

Accepted: December 4, 2010

REFERENCES

(1.) Public Health Agency of Canada. HIV/AIDS among Aboriginal peoples in Canada: A continuing concern. Epi Update. Available at: http://www.phacaspc.gc.ca/publicat/ epiuaepi/epi_update_may_04/9-eng.php (Accessed July 6, 2010).

(2.) Statistics Canada. Aboriginal identity population, by province and territory. 2006 Census. Available at: http://www40.statcan.ca/l01/cst01/demo60aeng.htm (Accessed July 6, 2010).

(3.) Public Health Agency of Canada. Summary: Estimates of HIV Prevalence and Incidence in Canada, 2008. Available at: http://www.phacaspc.gc.ca/aidssida/publication/ survreport/estimat08eng.php (Accessed July 16, 2010).

(4.) Liu J, Remis R. Race/Ethnicity Among Persons with HIV/AIDS in Ontario, 1981-2004. Ontario HIV Epidemiologic Monitoring Unit, 2007.

(5.) Wood E, Montaner JS, Li K, Zhang R, Barney L, Strathdee SA, et al. Burden of HIV infection among aboriginal injection drug users in Vancouver, British Columbia. Am J Public Health 2008;98(3):515-19.

(6.) Wood E, Kerr T, Palepu A, Zhang R, Strathdee SA, Tyndall MW, et al. Slower uptake of HIV antiretroviral therapy among Aboriginal injection drug users. J Infect 2006;52(4):233-36.

(7.) Miller CL, Spittal PM, Wood E, Chan K, Schechter MT, Montaner JS, et al. Inadequacies in antiretroviral therapy use among Aboriginal and other Canadian populations. AIDS Care 2006;18(8):968-76.

(8.) Wood E, Montaner JS, Chan K, Tyndall MW, Schechter MT, Bangsberg D, et al. Socioeconomic status, access to triple therapy, and survival from HIV-disease since 1996. AIDS 2002;16(15):2065-72.

(9.) Lima VD, Kretz P, Palepu A, Bonner S, Kerr T, Moore D, et al. Aboriginal status is a prognostic factor for mortality among antiretroviral naive HIV-positive individuals first initiating HAART. AIDS Res Ther 2006;3:14.

(10.) Royal Commission on Aboriginal Peoples. Report of the Royal Commission on Aboriginal Peoples. Ottawa, ON: Supply and Services Canada, 1996.

(11.) National Aboriginal Housing Association. A Time for Action: A National Plan to Address Aboriginal Housing. Ottawa: NAHA, 2009.

(12.) Jakubec L, Engeland J, Prentice J. Research Highlight--Revised Aboriginal Households. 2004. Ottawa, Canadian Mortgage and Housing Corporation. 2001 Housing Series.

(13.) Joint United Nations Programme on HIV/AIDS (UNAIDS). From Principle to Practice: Greater Involvement of People Living With or Affected by HIV/AIDS (GIPA). Geneva, Switzerland: UNAIDS, 1999.

(14.) Tucker R, Rourke SB, Greene S, Bekele T, Bhuiyan S, Sobota M, et al. Housing and health-related quality of life among persons living with HIV/AIDS: Design and implementation of the Positive Spaces, Healthy Places Study. AIDS Behav J under review.

(15.) Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. The Alcohol Use Disorders Identification Test (AUDIT): Guidelines for Use in Primary Health Care. Geneva: World Health Organization, 1992.

(16.) Skinner HA. The Drug Abuse Screening Test (DAST-20). Addict Behav 1982;7(4):363-71.

(17.) Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Measurement 1977;1(3):385.

(18.) Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974;19(6):716-23.

(19.) Perusse D. Aboriginal People Living Off-Reserve and the Labour Market: Estimates from the Labour Force Survey, 2007. Ottawa: Statistics Canada, 2,008

(20.) Jackson R, Reimer G. Canadian Aboriginal People Living With HIV/AIDS: Care, Treatment and Support Issues. Ottawa: Canadian Aboriginal AIDS Network, 2005.

(21.) McCall J, Browne AJ, Reimer-Kirkham S. Struggling to survive: The difficult reality of Aboriginal women living with HIV/AIDS. Qual Health Res 2009;19(12):1769-82.

(22.) Palepu A, Yip B, Miller C, Strathdee SA, O'Shaughnessy MV, Montaner JS, et al. Factors associated with the response to antiretroviral therapy among HIV-infected patients with and without a history of injection drug use. AIDS 2001;15(3):423-24.

(23.) Mehrabadi A, Craib KJ, Patterson K, Adam W, Moniruzzaman A, Ward-Burkitt B, et al. The Cedar Project: A comparison of HIV-related vulnerabilities amongst young Aboriginal women surviving drug use and sex work in two Canadian cities. Int J Drug Policy2008;19(2):159-68.

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(25.) Rourke SB, Sobota M, Tucker R, Bekele T, Gibson K, Greene S, et al. Social determinants of health in HIV/HCV co-infection compared to HIV infection only: Results from the "Positive Spaces, Healthy Places" Study. Open Medicine Journal in press.

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Laverne E. Monette, LLB, [1] Sean B. Rourke, PhD, [2-5] Katherine Gibson, MHSc, [2] Tsegaye M. Bekele, MPH, [2] Ruthann Tucker, BA, [2] Saara Greene, PhD, [5-7] Michael Sobota, BA, [5,8] Jay Koornstra, [5,9] Steve Byers, BA, [10] Elisabeth Marks, MPH, [5] Jean Bacon, BA, [2,5] James R. Watson, BA, [2] Stephen W. Hwang, MD, [3,11] Amrita Ahluwalia, PhD, [7] James R. Dunn, PhD, [3,12] Dale Guenter, MD, [13] Keith Hambly, BA,7 Shafi Bhuiyan, PhD, [2] and the Positive Spaces, Healthy Places Team

[1.] Ontario Aboriginal HIV/AIDS Strategy, Toronto, ON

[2.] Ontario HIV Treatment Network, Toronto, ON

[3.] Centre for Research on Inner City Health, The Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON

[4.] Department of Psychiatry, University of Toronto, Toronto, ON

[5.] The CIHR Centre for REACH in HIV/AIDS (Research Evidence into Action for Community Health), Toronto, ON

[6.] Faculty of Social Sciences, McMaster University, Toronto, ON

[7.] Fife House, Toronto, ON

[8.] AIDS Thunder Bay, Thunder Bay, ON

[9.] Bruce House, Ottawa, ON

[10.] AIDS Niagara, St. Catharines, ON

[11.] Faculty of Medicine, University of Toronto, Toronto, ON

[12.] Department of Health, Aging & Society, McMaster University, Hamilton, ON

[13.] Department of Family Medicine, McMaster University, Hamilton, ON

Correspondence: Sean B. Rourke, The Ontario HIV Treatment Network, 600-1300 Yonge St., Toronto, ON M4T 1X3, Tel: 416-642-6486, Fax: 416-640-4245, E-mail: sean.rourke@utoronto.ca

Dedication: This article is dedicated to the memory of LaVerne Monette, coinvestigator with the CIHR-funded Positive Spaces, Healthy Places (PSHP) research project, who passed away December 1, 2010. Responsible for the Aboriginal arm of the study, she played a key role in developing the questionnaire, analyzing the data and presenting the findings. She brought to our team her life experiences as an Aboriginal woman and her passion to help Aboriginal people living with and at risk of HIV. She understood the critical role of housing in health and quality of life, and was a strong advocate for research to identify the housing needs of Aboriginal people in Ontario and for policy change that will lead to safe, stable housing for all.
Table 1. Socio-demographic, Health-related and Housing
Characteristics of Participants

Characteristics                                      Aboriginal
                                                        N=79

                                                     N or     % or
                                                     Mean     (SD)

Socio-demographic characteristics
  Age ([dagger])                                      42     (7.8)
  Gender (Female/ Transgender woman)                  27       34%
  Sexual orientation (Heterosexual)                   36       46%
  Education (< high school diploma)                   31       39%
  Employed (Yes)                                       9       11%
  Annual income ([less than or equal to] $10K)        18       23%
Health risk behaviours
  Harmful alcohol use (AUDIT [greater than or
    equal to] 8) (Yes)                                25       31%
  Harmful drug use (DAST [greater than or equal
    to] 6) (Yes)                                      35       44%
  Significant depression (CES-D [greater than
    or equal to] 16 (Yes)                             36       46%
  General health (Excellent/very good)                26       33%
Housing-related characteristics
  Region (Eastern and Northern Ontario)               33       42%
  Unstable housing (Yes)                               6        8%
  History of incarceration (At least once)            41       52%
  History of homelessness (Yes)                       49       63%
  Experienced housing discrimination                  39       49%
  Perceived reasons of discrimination
    Source of income                                  21       26%
    HIV status                                         9       11%
    Sexual orientation                                10       13%
    Employment status                                 17       21%
    Race                                              20       25%
    Live in social housing or receive rent
      subsidy                                         55       70%
  Rent is >30% of income                              47       59%
  Paying rent is very difficult/difficult             44       55%
  Home is a good location                             48       61%
  Satisfied with whole residence                      49       62%
  Satisfied with neighbourhood                        40       51%

Characteristics                                       Caucasian
                                                        N=442

                                                     N or     % or
                                                     Mean     (SD)

Socio-demographic characteristics
  Age ([dagger])                                      44     (8.6)
  Gender (Female/ Transgender woman)                  76       17%
  Sexual orientation (Heterosexual)                  121       27%
  Education (< high school diploma)                   99       22%
  Employed (Yes)                                      91       21%
  Annual income ([less than or equal to] $10K)        49       11%
Health risk behaviours
  Harmful alcohol use (AUDIT [greater than or
    equal to] 8) (Yes)                                86       20%
  Harmful drug use (DAST [greater than or equal
    to] 6) (Yes)                                     122       28%
  Significant depression (CES-D [greater than
    or equal to] 16 (Yes)                            226       51%
  General health (Excellent/very good)               155       35%
Housing-related characteristics
  Region (Eastern and Northern Ontario)              102       23%
  Unstable housing (Yes)                              10        2%
  History of incarceration (At least once)           144       33%
  History of homelessness (Yes)                      164       37%
  Experienced housing discrimination                 142       32%
  Perceived reasons of discrimination
    Source of income                                  51       12%
    HIV status                                        57       13%
    Sexual orientation                                53       12%
    Employment status                                 45       10%
    Race                                              18        4%
    Live in social housing or receive rent
      subsidy                                        272       62%
  Rent is >30% of income                             238       54%
  Paying rent is very difficult/difficult            310       70%
  Home is a good location                            303       69%
  Satisfied with whole residence                     286       65%
  Satisfied with neighbourhood                       267       60%

Characteristics                                       p-value *

Socio-demographic characteristics
  Age ([dagger])                                         0.020
  Gender (Female/ Transgender woman)                     0.004
  Sexual orientation (Heterosexual)                      0.001
  Education (< high school diploma)                      0.010
  Employed (Yes)                                         0.056
  Annual income ([less than or equal to] $10K)           0.006
Health risk behaviours
  Harmful alcohol use (AUDIT [greater than or
    equal to] 8) (Yes)                                   0.020
  Harmful drug use (DAST [greater than or equal
    to] 6) (Yes)                                         0.004
  Significant depression (CES-D [greater than
    or equal to] 16 (Yes)                                0.410
  General health (Excellent/very good)                   0.830
Housing-related characteristics
  Region (Eastern and Northern Ontario)                  0.001
  Unstable housing (Yes)                                 0.012
  History of incarceration (At least once)               0.001
  History of homelessness (Yes)                          0.001
  Experienced housing discrimination                     0.004
  Perceived reasons of discrimination
    Source of income                                    <0.001
    HIV status                                           0.689
    Sexual orientation                                   0.892
    Employment status                                    0.005
    Race                                                <0.001
    Live in social housing or receive rent
      subsidy                                            0.154
  Rent is >30% of income                                 0.320
  Paying rent is very difficult/difficult                0.008
  Home is a good location                                0.200
  Satisfied with whole residence                         0.690
  Satisfied with neighbourhood                           0.120

* Two-tailed values of Wilcoxon rank-sum test or Pearson's
[chi square] tests.

([dagger]) Information is missing for 3 Aboriginal and 39
Caucasian participants.

Table 2. Factors Independently Associated With Aboriginal
Ethnicity (N=521)

Factors                                  Adjusted Odds    95% CI
                                          Ratio (AOR)

Gender (female or transgender women)          2.2        1.26-3.74
Education (< HS completion)                   1.7        0.98-2.86
Annual income (< $10,000)                     2.2        1.16-4.13
History of homelessness (Yes)                 1.9        1.12-3.30
Housing-related discrimination (Yes)          1.6        0.95-2.70
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Title Annotation:QUANTITATIVE RESEARCH
Author:Monette, Laverne E.; Rourke, Sean B.; Gibson, Katherine; Bekele, Tsegaye M.; Tucker, Ruthann; Greene
Publication:Canadian Journal of Public Health
Article Type:Report
Geographic Code:1CANA
Date:May 1, 2011
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