Is more better and how much is enough? Dose-response relationships in app-based food Go/No-Go training
| Autor: | Matthias Aulbach, Keegan Phillip Knittle, Samantha van Beurden, Ari Haukkala, Natalia Lawrence |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Health Psychology bepress|Social and Behavioral Sciences|Psychology|Health Psychology digestive oral and skin physiology bepress|Social and Behavioral Sciences PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology bepress|Social and Behavioral Sciences|Psychology|Social Psychology bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts PsyArXiv|Social and Behavioral Sciences|Health Psychology|Health-related Behavior PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Self-regulation bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Motivational Behavior |
| Popis: | Food Go/No-Go training aims to alter implicit food biases by creating associations between perceiving unhealthy foods and withholding a dominant response. Asking participants to repeatedly inhibit an approach impulse to unhealthy foods can decrease unhealthy food intake in laboratory settings. However, less is known about the engagement with, and effects of, repeated training on mobile devices in real-world settings. This study investigated how the number of completed app-based food Go/No-Go training blocks related to changes in food intake (Food Frequency Questionnaire; FFQ) for different healthy and unhealthy food categories from baseline to one-month follow-up. In total, 1234 participants (m(BMI)=29kg/m2, m(age)=43years, 69% female) downloaded the FoodT app and completed food-Go/No-Go training at their own discretion (mean number of completed sessions = 10.7). In pre-registered analyses, random-intercept linear models predicting intake of different foods while controlling for baseline consumption, BMI, age, gender, smoking, and dieting status revealed a small, significant effect of the number of training blocks on reducing unhealthy food intake (β=-0.004, CI95=[-0.006; -0.002]) and increasing healthy food intake (β =0.003, CI95=[0; 0.005]). These relationships varied by food category from β =-0.059, CI95=[-0.094; -0.025] for pizza to β =0.002, CI95=[-0.001; 0.005] for fruit, indicating different levels of training efficiency. Exploratory analyses suggest that spacing out training leads to larger effects. Taken together, these results imply that, depending on food category, completing from 8 to 24, four-minute sessions of Go/No-Go training, leads to reductions of 1-point on the FFQ (e.g., from 2 or 3 times a day to once a day) and that more training yields larger changes in food intake. Future experimental designs may be required to further investigate ideal dosage and usage patterns for reducing unhealthy food intake. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|