What helps to form a healthy nutrition habit? Daily associations of intrinsic reward, anticipated regret, and self-efficacy with automaticity

Changes in Health-Promoting Behaviors and Their Association with Weight Loss, Retention, and Engagement on a Digital Program: Prospective Study

Health-promoting lifestyle behaviors (e.g., as measured by the HPLP-II) are associated with reductions in lifestyle disease mortality, as well as improved well-being, mental health, and quality of life. However, it is unclear how a weight-management program relates to a broad range of these behaviors (i.e., health responsibility, physical activity, nutrition, spiritual growth, interpersonal relations, and stress management), especially a fully digital program on which individuals have to self-manage their own behaviors in their daily lives (with assistance from a virtual human coach). In the context of a digital setting, this study examined the changes in health-promoting behaviors over 12 months, as well as the associations between health-promoting behaviors and weight loss, retention, and engagement, among participants who self-enrolled in a mobile CBT-based nutritionally focused behavior change weight management program (n = 242). Participants lost a statistically significant amount of weight (M = 6.7 kg; SD = 12.7 kg; t(80) = 9.26, p < 0.001) and reported significantly improved overall health-promoting lifestyle behaviors (i.e., HPLP-II summary scores), as well as, specifically, health responsibility, physical activity, nutrition, spiritual growth, stress management, and interpersonal relations behaviors from baseline to 6 months and from 6 months to 12 months (all ps < 0.008). Health-promoting behaviors at 6 months (i.e., learned health-promoting behaviors) compared to baseline were better predictors of retention and program engagement. A fully digital, mobile weight management intervention can improve HPLP-II scores, which, in turn, has implications for improved retention, program engagement, and better understanding the comprehensive effects of weight management programs, particularly in a digital setting.

Decision Reversibility and Satisfaction: The Mediating Role of Counterfactual Thinking and Anticipated Regret

Purpose

Extensive research has shown that reversible decisions yield lower post-decision satisfaction than irreversible decisions. However, to date, little is known about how decision reversibility affects post-decision satisfaction. Based on regret theory, this study aimed to examine the mediating role of counterfactual thinking and anticipated regret in the association between decision reversibility and satisfaction.

Methods

In this study (130 participants), participants were randomly assigned to two personnel decision situations with reversible and irreversible decision outcomes, and all participants completed questionnaires during the process of completing the decision task. The questionnaires used included the Counterfactual Thinking for Negative Events Scale, Anticipated Regret Scale, and satisfaction questionnaire. Finally, the data were statistically analyzed using the base package in R and PROCESS 3.5.

Results

The results show that (1) Compared to irreversible decisions, reversible decisions have a significant negative impact on satisfaction. (2) Counterfactual thinking plays a mediating role between decision reversibility and satisfaction. (3) Compared with irreversible decisions, reversible decisions further lowered the level of post-decision satisfaction through the chain mediating effects of counterfactual thinking and anticipated regret.

Conclusion

People's lowered levels of post-decision satisfaction in the reversible decision condition relate to increased levels of counterfactual thinking and anticipated regret. In addition, counterfactual thinking can play a mediating role alone, indicating that this variable may be critical in understanding the mechanisms by which decision reversibility affects satisfaction. This knowledge may be used to help people optimize their decision-making behavior.

Effects of behavioral performance, intrinsic reward value, and context stability on the formation of a higher-order nutrition habit: an intensive longitudinal diary study

Background

Habits drive many of our health behaviors in our daily lives. However, little is known about the relative contribution of different key factors for habit formation in real-world contexts. We examined the effects of behavioral performance, intrinsic reward value (operationalized as tastiness), and context stability on the formation of a higher-order nutrition habit.

Methods

Participants were recruited via mailing lists and posts on social media platforms. N = 199 participants (M_age = 37.10 years, SD = 13.00, 86.93% female) received an online intervention for building the higher-order habit of filling half of their plates with vegetables at dinner and completed one daily online survey for up to 56 days, including the assessment of habit strength, behavioral performance, intrinsic reward value, and context stability, providing a total of N = 6352 daily measurements. N = 189 participants (N = 4175 measurements) could be included in the primary analysis. Utilizing multilevel modeling, we analyzed the impact of behavioral performance, intrinsic reward value, and context stability, as well as their interaction effects, on habit strength on the next day.

Results

Habit strength significantly increased over time. This effect was strengthened in persons with high mean levels of behavioral performance. Furthermore, mean levels of behavioral performance, intrinsic reward value, and context stability were all positively related to mean levels of habit strength. There were no positive effects of daily intraindividual variations in the three examined factors on habit strength at the next day. There was an unexpected negative effect of daily behavioral performance on habit strength at the next day. We found little to no evidence for our expected and pre-registered interaction effects. In an additional exploratory analysis, there were positive effects of daily intraindividual variations in the three factors on habit strength at the same day.

Conclusions

We found that behavioral performance, intrinsic reward value, and context stability were all independent predictors of habit strength of a higher-order habit at the between-person level. However, we did not find the expected associations at the within-person level. Habit interventions should promote the consistent performance of the target behaviors in stable contexts.

Trial registration

https://aspredicted.org/blind.php?x=vu2cg4. Registered 28.04.2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01343-8.