Development and quantification of measures for risky and delayed food and monetary outcome choices

Rodriguez, Luis R.; Hendrickson, Kelsie L.; Rasmussen, Erin B.

doi:10.1016/j.beproc.2018.02.020

Cited by 8 publications

(6 citation statements)

References 51 publications

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“…Studies using choice questionnaires report patterns of responding that are consistent; that is, those that show only one switch between the smaller outcome to the larger delayed or uncertain outcome (inconsistent would mean more than one switch; see Kirby & Maraković, 1996). This sample demonstrated relatively consistent responding across the three magnitudes of the choice questionnaires ranging from 77%-87% on the FCQ, 97%-99% on the PFCQ, 97%-98% on the MCQ, and 96%-100% on the PMCQ, which was consistent with previous studies (Hendrickson et al, 2015; Rodriguez et al, 2018). All 92 participants were included in the analyses.…”

Section: Methodssupporting

confidence: 90%

“…The SHQ is used to control for potential food intake before the session. Previous research shows a positive association between food DD and subjective hunger (Hendrickson & Rasmussen, 2017; Rodriguez et al, 2018).…”

Section: Methodsmentioning

confidence: 90%

“…See Madden et al (2009) for scoring. The Probabilistic Food Choice Questionnaire (PFCQ; α = .93; Rodriguez et al, 2018) is a 39-item measure of PD for hypothetical food outcomes that was adapted from the FCQ and PMCQ. The measure estimates food discounting across small (8–14 bites), medium (26–36 bites), and large (40–50 bites) magnitudes.…”

Section: Methodsmentioning

confidence: 99%

“…For each magnitude, individuals select between smaller, certain amounts of food (e.g., 15 bites for sure) versus larger, less certain amounts (e.g., 75% chance of receiving 30 bites). See Rodriguez et al (2018) for scoring.…”

Section: Probability Choice Questionnaires For Money and Foodmentioning

confidence: 99%

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Delay discounting and obesity in food insecure and food secure women.

Rodriguez¹,

Rasmussen²,

Kyne-Rucker³

et al. 2021

Health Psychology

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Objectives: The relation between food insecurity (FI) and delay discounting (DD) and probability discounting (PD) for food and money was tested in women. In addition, discounting was tested as a variable that mediates the relation between obesity and FI. Method: Women recruited from a community sample (N = 92) completed questionnaires. They completed the food choice questionnaire, the monetary choice questionnaire, measures for food and money probability discounting (which quantify sensitivity to risk aversion), and demographic measures. Results: Women with FI had higher rates of obesity and higher food DD compared to food-secure women. However, DD for money or probability discounting for food or money did not significantly differ between FI and food secure groups when controlling for significant covariates. Neither DD or PD significantly mediated the relation between FI and obesity. Conclusions: These results suggest that FI is associated with greater impulsive food choice, but its association with other monetary discounting and probability discounting for food and money appears contingent upon other demographic factors.

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Section: Methodssupporting

confidence: 90%

Section: Methodsmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Probability Choice Questionnaires For Money and Foodmentioning

confidence: 99%

See 2 more Smart Citations

Delay discounting and obesity in food insecure and food secure women.

Rodriguez¹,

Rasmussen²,

Kyne-Rucker³

et al. 2021

Health Psychology

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“…In essence, the food choice behavior of each individual is stochastic and highly unpredictable (Rodriguez, Hendrickson and Rasmussen 2018). Factors including geographic proximity, purchasing power, and cultural acceptance have either direct or indirect influences on the final decision of food choice.…”

Section: Probabilistic Model Of Relative Food Exposurementioning

confidence: 99%

Measuring disparities in food access and its implications for nutrient-related diseases - An empirical study in metropolitan Atlanta

Zha¹

2021

Proceedings of the 57th ISOCARP World Planning Congress

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A considerable body of literature has investigated the role of food insecurity in resulting in a wide range of subsequent health. Using Yelp businesses and USDA SNAP retailer data, this study proposes a multidimensional and spatio-temporally dynamic approach to measuring food access from the perspective of Abundance, Diversity, and Healthiness. An inconsistent result has been found by comparing the space-based and place-based measurement, which suggests a non-dichotomous interpretation of urban foodscape. Furthermore, OLS and Spatial regression models are built to investigate the associations between food access and nutrient-related diseases. Results suggest that living in areas with great diversity of food choices have a strongly protective effect on prevalence rates of high blood pressure, diabetes, and coronary heart diseases, while there is no statistically significant tie between abundance of food and the occurrence of diseases. Findings emphasize the need for a deepened understanding of the components and manifestation of the concept and operationalization of food access in regional food systems planning.

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