Development of new measures to assess household nutrition security, and choice in dietary characteristics.

The purpose of this study was to preliminarily develop novel self-administered measures to assess nutrition security and choice in dietary characteristics. Measures were piloted in a convenience sample of households at risk for food insecurity in the United States. The survey included the new measures, construct validation variables (household food security, self-reported general health, and dietary variables), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal (Cronbach's alpha (CA)), and construct validity were assessed (Spearman's correlation). Multivariate logistic regression models were used to assess added utility of the new measures beyond food security measurement. Finally, brief screener versions of the full measures were created. Participants in the analytic sample (n = 380) averaged 45 years old, 71% experiencing food insecurity, 42% with high school diploma or less, 78% were women, and racially/ethnically diverse. Scores for the Household Nutrition Security (CA = 0.85; Mean = 2.58 (SD = 0.87)), Household Healthfulness Choice (CA = 0.79; Mean = 2.47 (SD = 0.96)), and Household Dietary Choice (CA = 0.80; Mean = 2.57 (SD = 0.90)) were positively associated with food security (0.401-0.657), general health (0.194-0.290), fruit and vegetable intake frequency (0.240-0.280), and "scratch-cooked" meal intake (0.328-0.350), and negatively associated with "processed" meal intake (-0.162 to -0.234) and an external locus of nutrition control (-0.343 to -0.366). Further, findings show that the new measures are useful for assessing risk for poor dietary and health outcomes even after controlling for household food security status and sample characteristics. These findings are encouraging and support reliability, construct validity, and utility of these new measures. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may be used in various applications to contribute to a better understanding of households' limitations for accessing healthful foods and foods that meet their preferences.