Health Administration and Public Health Department, D'Youville College, Buffalo, NY 14201, USA.
College of Global Public Health, New York University, New York, NY 10003, USA.
Int J Environ Res Public Health. 2020 Jan 25;17(3):762. doi: 10.3390/ijerph17030762.
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 ( = 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.
受灾家庭的粮食不安全发生率高于非灾害时期的州发生率。本研究将灾后粮食不安全的社会生态模型应用于 12-15 个月后受哈维飓风影响的 41 个德克萨斯州各县的嵌套配额样本(n=1002),该样本通过网络调查招募。本分析确定了粮食不安全的风险和保护因素。卡方分析用于检验个体、家庭和社会因素与粮食不安全之间的独立关联。拟合了多变量逻辑模型,并报告了调整后的优势比。经济不稳定(调整后的优势比 (OR) 2.43;95%置信区间 (CI) 1.73, 3.41)、因飓风哈维而搬迁(OR 1.89;CI 1.15, 3.09)、主要房屋受损(OR 2.11;CI 1.12, 3.98)、非白种人-黑人(OR 1.79;CI 1.01, 3.18)、西班牙裔(OR 1.67;CI 1.09, 2.54)、其他种族(OR 4.39;CI 1.96, 9.82)和社区组织援助(1.99;1.11, 3.58)是风险因素,而年龄较大(45-64 岁:0.49;0.32, 0.73;65 岁以上:0.40;0.22, 0.75)、更好的身体健康(0.46;0.29, 0.71)、更好的心理健康(0.46;0.32, 0.67)和高社会支持(0.37;0.25, 0.55)则对粮食不安全有保护作用。灾害政策和计划应解决搬迁或有健康状况的家庭的不成比例负担。培育社会支持网络,特别是在搬迁人口中,可能会改善灾害健康结果。