BMF CP37: How educational attainment and custom-based food choice affect health consideration in food consumption

AISDL Team
Email: aisdl_team@mindsponge.info

March 17, 2023

1. Project description

1.2. Main objectives

This study will examine how general knowledge levels and local social norms may influence the degree of health consideration in food consumption. These factors are represented by educational attainment and custom-based food choice (eating products that are in alignment with one’s tradition/culture/custom).

1.3. Materials

In this research project, we use a dataset of 710 Indonesian urban residents [1]. The research project follows the Bayesian Mindsponge Framework (BMF) [2-4]. The bayesvl R package will be employed for statistical analyses [5]. Data and code snippets for this initial analysis were deposited at https://osf.io/ydknb/

1.4. Main findings

The analysis results show that while (interestingly) educational attainment is negatively associated with health consideration, custom-based food choice moderates this effect in the opposite direction.



Figure 1. Posterior distributions at 90% HPDI

In Figure 2, the y-axis represents the health consideration degree in food consumption, the x-axis represents educational attainment, and the line color represents the degree of consuming custom-recommended food products.



Figure 2. Estimated probabilities of health consideration in food consumption based on educational attainment and custom-based food choice

These results suggest that the influences of general knowledge attainment and cultural values on healthy food consumption behavior in urban environments are not straightforward and require closer examination.

2. Collaboration procedure

Portal users should follow these steps to register to participate in this research project:

1. Create an account on the website (preferably using an institution’s email).
2. Comment your name, affiliation, and desired project role below this post.
3. Patiently wait for the formal agreement on the project from the AISDL mentor.

If you have further inquiries, please contact us at aisdl_team@mindsponge.info

If you have been invited to join the project by an AISDL member, you are still encouraged to follow the above formal steps.

All the resources for conducting and writing the research manuscript will be distributed upon project participation.

AISDL mentor for this project: Tam-Tri Le.

AISDL members who have joined this project: Minh-Hoang Nguyen, Quan-Hoang Vuong.

The research project strictly adheres to scientific integrity standards, including authorship rights and obligations [6], without incurring an economic burden at participants’ expenses [7].

References

[1] Seda FS, et al. (2020). Dataset on The Cultural Dimension of Urban Society Food Consumption in Indonesia. Data in Brief, 31, 105681.

[2] Nguyen MH, La VP, Le TT, Vuong QH. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808.

[3] Vuong QH, Nguyen MH, La VP. (2022). The mindsponge and BMF analytics for innovative thinking in social sciences and humanities. De Gruyter.

[4] Vuong QH. (2023). Mindsponge Theory. De Gruyter.

[5] La VP, Vuong QH. (2019). bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’. The Comprehensive R Archive Network.

[6] Vuong QH. (2020). Reform retractions to make them more transparent. Nature, 582(7811), 149.

[7] Vuong QH. (2018). The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour, 2(1), 5.