Factors Associated with the Separate and Concurrent Experiences of Food and Housing Insecurity Among Women Living with HIV in Canada

AIDS Behav. 2018 Sep;22(9):3100-3110. doi: 10.1007/s10461-018-2119-0.

Abstract

People living with HIV are disproportionately affected by food and housing insecurity. We assessed factors associated with experiencing food and/or housing insecurity among women living with HIV (WLHIV) in Canada. In our sample of WLHIV (N = 1403) 65% reported an income less than $20,000 per year. Most (78.69%) participants reported food and/or housing insecurity: 27.16% reported experiencing food insecurity alone, 14.26% reported housing insecurity alone, and 37.28% reported experiencing food and housing insecurity concurrently. In adjusted multivariable logistic regression analyses, experiencing concurrent food and housing insecurity was associated with: lower income, Black ethnicity versus White, province of residence, current injection drug use, lower resilience, HIV-related stigma, and racial discrimination. Findings underscore the urgent need for health professionals to assess for food and housing insecurity, to address the root causes of poverty, and for federal policy to allocate resources to ameliorate economic insecurity for WLHIV in Canada.

Keywords: Antiretroviral adherence; Discrimination; Food insecurity; Health disparities; Housing insecurity; Social disparities; Women with HIV.

MeSH terms

  • Adult
  • Canada
  • Cross-Sectional Studies
  • Female
  • Food Supply / statistics & numerical data*
  • HIV Infections / drug therapy
  • HIV Infections / epidemiology
  • HIV Infections / psychology*
  • Health Status Disparities
  • Housing / statistics & numerical data*
  • Humans
  • Ill-Housed Persons / psychology*
  • Ill-Housed Persons / statistics & numerical data
  • Income
  • Medication Adherence / psychology
  • Middle Aged
  • Minority Groups / psychology
  • Minority Groups / statistics & numerical data
  • Multivariate Analysis
  • Poverty / psychology
  • Poverty / statistics & numerical data
  • Prejudice
  • Social Stigma
  • Socioeconomic Factors