Auxiliary measures to assess factors related to food insecurity: Preliminary testing and baseline characteristics of newly designed hunger-coping scales.
Prev Med Rep 2016;
4:289-95. [PMID:
27462530 PMCID:
PMC4950172 DOI:
10.1016/j.pmedr.2016.06.021]
[Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 05/18/2016] [Accepted: 06/27/2016] [Indexed: 11/23/2022] Open
Abstract
The objective of this paper is to describe the development and preliminary testing of new scales to assess hunger-coping behaviors in a very low-income population. Very low-income adults (≥ 19 years), caregivers to at least one child (n = 306) completed a survey in a community setting (e.g., libraries). The survey included novel items assessing hunger-coping behaviors (e.g., trade-offs to purchase food, strategies to stretch and obtain food), food insecurity status, and physiological hunger. Internal consistency of hunger-coping scales, one-way ANOVAs, post-hoc analyses, Spearman's correlations among variables. Respondents were 75% female, 51% African American, 34% White, and 15% Hispanic, and 73% earned <$20,000/year. Four scales emerged: hunger-coping trade-offs, financial coping strategies, rationing coping strategies, and physiological adult hunger symptoms. All scales demonstrated acceptable internal consistency (α/KR-20 = 0.70-0.90). Predictive, construct, and content validity were demonstrated by correlations between hunger-coping scales and food insecurity (FI), measured with the USDA 6-item HFSSM (rs = 0.42-0.68, ps < 0.001). Higher levels of hunger-coping trade-offs (F(2,297) = 42.54, p < 0.001), financial coping strategies (F(2,287) = 70.77, p < 0.001), and rationing coping strategies (F(2,284) = 69.19, p < 0.001), corresponded with increasing levels of FI. These preliminary results support use of newly developed hunger-coping scales in a very low-income population and can compliment traditional food security measures to inform hunger prevention policy and programming.
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