Factors Associated with Food Insecurity Following Hurricane Harvey in Texas

Int J Environ Res Public Health. 2020 Jan 25;17(3):762. doi: 10.3390/ijerph17030762.

Abstract

Food insecurity prevalence among disaster-affected households has been found to be higher than state prevalence in non-disaster times. This study applies a socio-ecological model of post-disaster food insecurity to a nested quota sample (n = 1002) recruited for a web survey from 41 Texas counties affected by Hurricane Harvey 12-15 months post-event. This analysis identifies risk and protective factors for food insecurity. Chi-square analysis was used to examine independent associations between individual, household, and social factors with food insecurity. A multivariate logistic model was fitted and adjusted odds ratios are reported. Economic instability (adjusted odds ratio (OR) 2.43; 95% Confidence Interval (CI) 1.73, 3.41), relocation due to Hurricane Harvey (OR 1.89; CI 1.15, 3.09), major home damage (OR 2.11; CI 1.12, 3.98), non-white race - black (OR 1.79; CI 1.01, 3.18), Hispanic (OR 1.67; CI 1.09, 2.54), other race (OR 4.39; CI 1.96, 9.82) - and community-based organization assistance (1.99; 1.11, 3.58) were risk factors while older age (45-64 years: 0.49; 0.32, 0.73; 65+ years 0.40; 0.22, 0.75), better physical health (0.46; 0.29, 0.71), better mental health (0.46; 0.32, 0.67), and high social support (0.37; 0.25, 0.55) were protective against food insecurity. Disaster policies and programs should address the disproportionate burden on households that relocate or have health conditions. Fostering social support networks, especially among relocated populations, may improve disaster health outcomes.

Keywords: Hurricane Harvey; disaster; food security; hurricane.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cyclonic Storms*
  • Family Characteristics*
  • Female
  • Food Supply / statistics & numerical data*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Theoretical
  • Multivariate Analysis
  • Protective Factors*
  • Risk Factors
  • Social Networking*
  • Texas
  • Young Adult