4.6 Article

The association between housing and food insecurity among medically underserved cancer patients

Journal

SUPPORTIVE CARE IN CANCER
Volume 29, Issue 12, Pages 7765-7774

Publisher

SPRINGER
DOI: 10.1007/s00520-021-06254-1

Keywords

Food insecurity; Housing; Household density; Overcrowding; Cancer; Social determinants of health

Funding

  1. National Cancer Institute: Core Cancer Center Support Grant [P30 CA008748, R01 CA230446 01]
  2. CCNY/MSKCC Partnership for Cancer Research Training & Community Outreach [U54 CA137788]
  3. Laurie Tisch Illumination Fund
  4. New York Community Trust
  5. AVON Foundation

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The study found that 70% of low-income cancer patients experienced food insecurity, with homelessness or living in sheltered/supportive housing, renting, and homeownership being associated housing characteristics. Factors such as living situation satisfaction, housing assistance needs, and feelings of overcrowding were also linked to food insecurity. These results could help prioritize screening for patients' nutrition and housing needs and developing interventions.
Purpose To assess the prevalence of socioeconomic needs and associations between housing characteristics and food insecurity among low-income cancer patients, among whom housing and food insecurity are particularly prevalent. Methods Low-income cancer patients in active treatment (N = 1618) were enrolled in a comprehensive patient navigation program. Food insecurity was assessed using the 18-item US Department of Agriculture US Household Food Security Survey Module. Participants self-reported their need for assistance with housing issues/type of assistance needed, perception of overcrowding, satisfaction with living situation, and household density via a cross-sectional survey. Descriptive analyses, cross-tabulations and tests of proportions, and binary logistic regression were used in data analyses. Results Seventy percent of patients were food insecure. Housing characteristics associated with food insecurity were homelessness or living in sheltered/supportive housing (83.3% food insecure), renting (71.9%), and homeownership (58.1%; p < .001); living situation satisfaction (not satisfied, 79.4%; somewhat satisfied, 25.6%; very satisfied, 66%; p < .001); need of housing assistance (79.2%; p < .001), and feeling crowded in their living unit (77.6%; p < .05). Associations of living unit type with food insecurity were significant in the binary logistic regression model (renters 1.68 OR, homeless/sheltered housing 2.80 OR vs homeowners). Conclusion The vulnerability to food insecurity of patients in this low-income sample was underlined by the high rates found, and clear associations with housing characteristics of homelessness, housing assistance needs, and feeling overcrowded were identified. These results could help shape priorities around screening patients for nutrition and housing needs and developing interventions to address them.

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