Steven Ramondt1, A Susana Ramírez2. 1. Psychological Sciences, University of California, Merced, CA, USA. Electronic address: sramondt@ucmerced.edu. 2. Public Health, University of California, Merced, CA, USA.
Abstract
OBJECTIVE: A growing body of research suggests that exposure to too much information - particularly contradictory information that characterizes much health-related information - can lead to feeling overwhelmed. This construct has been conflated with fatalistic beliefs that are negatively associated with preventive behaviors. The objective of this study was to adapt the 8-item Cancer Information Overload (CIO) scale to assess overload of healthy diet information. METHODS: Confirmatory factor analyses with a community sample of rural California adults (n = 290; 75% female; 58% Latino; 46% ≤ H.S./G.E.D.). RESULTS: Items assessing Diet Information Overload loaded significantly on their relevant factor; factor loadings were acceptable (β >.40). The adapted original scale (CFI = 1.000, RSMEA = .000, SMSR = .022) and a shorter 5-item scale (CFI = .984, RMSEA = .051, SMSR = .026) fit well. CONCLUSION: The Cancer Information Overload scale was successfully adapted and shortened to measure perceptions - previously mischaracterized as fatalistic - pertaining to diet information. Improved measures distinguishing between fatalistic beliefs and outcomes of the information environment are critical. PRACTICE IMPLICATIONS: Understanding information overload is important for shaping prevention messages distinct from those needed to address fatalistic beliefs. Nutrition education efforts should consider the broader - cluttered - information environment in which nutrition education and communication occurs, and public health messages may drown.
OBJECTIVE: A growing body of research suggests that exposure to too much information - particularly contradictory information that characterizes much health-related information - can lead to feeling overwhelmed. This construct has been conflated with fatalistic beliefs that are negatively associated with preventive behaviors. The objective of this study was to adapt the 8-item Cancer Information Overload (CIO) scale to assess overload of healthy diet information. METHODS: Confirmatory factor analyses with a community sample of rural California adults (n = 290; 75% female; 58% Latino; 46% ≤ H.S./G.E.D.). RESULTS: Items assessing Diet Information Overload loaded significantly on their relevant factor; factor loadings were acceptable (β >.40). The adapted original scale (CFI = 1.000, RSMEA = .000, SMSR = .022) and a shorter 5-item scale (CFI = .984, RMSEA = .051, SMSR = .026) fit well. CONCLUSION: The Cancer Information Overload scale was successfully adapted and shortened to measure perceptions - previously mischaracterized as fatalistic - pertaining to diet information. Improved measures distinguishing between fatalistic beliefs and outcomes of the information environment are critical. PRACTICE IMPLICATIONS: Understanding information overload is important for shaping prevention messages distinct from those needed to address fatalistic beliefs. Nutrition education efforts should consider the broader - cluttered - information environment in which nutrition education and communication occurs, and public health messages may drown.
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