Assessing Plant-Based Diets in Taiwan Using a Harmonized Food Description-Incorporated Framework
- PMID: 40732893
- PMCID: PMC12301026
- DOI: 10.3390/nu17142268
Assessing Plant-Based Diets in Taiwan Using a Harmonized Food Description-Incorporated Framework
Abstract
Background: Exploring emerging dietary patterns, such as plant-based diets (PBD), often requires considerable effort to rebuild new systems or adapt existing food classification frameworks, presenting a substantial challenge for dietary research. Current systems were not originally designed for this purpose and vary in standardization and interoperability, complicating cross-study comparisons. This study aimed to adopt the harmonized, food description-incorporated, food classification system (HFDFC system) to develop a plant-based diet food classification system (PBDFC system), and to evaluate dietary intake and nutritional status among adults in Taiwan. Methods: A repeated cross-sectional design was applied using 24 h dietary recall data from the Nutrition and Health Survey in Taiwan (2013-2016 and 2017-2020), accessed via the national food consumption database. Adults aged 20-70 years were included. Data were processed through the HFDFC system to generate the PBDFC system. For each participant, the Plant-Based Diet Index (PDI), Body Mass Index (BMI), and Nutrient-Rich Food Index (NRF) were calculated and analyzed by age group. Results: Adults aged 46-70 had significantly higher O-PDI and H-PDI scores, lower Lh-PDI scores (all p < 0.0001), and higher NRF values. Despite higher average BMI, those in the highest H-PDI tertile had significantly lower BMI (p < 0.02). Conclusions: The HFDFC-based PBDFC system offers a flexible, scalable framework for plant-based diet classification and supports future cross-national research.
Keywords: HFDFC system; dietary quality; food classification and description system; nutrient-rich food index; plant-based diet.
Conflict of interest statement
The authors declare no conflicts of interest.
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References
-
- Sadler C.R., Grassby T., Hart K., Raats M., Sokolović M., Timotijevic L. Processed food classification: Conceptualisation and challenges. Trends Food Sci. Technol. 2021;112:149–162.
-
- Crino M., Barakat T., Trevena H., Neal B. Systematic Review and Comparison of Classification Frameworks Describing the Degree of Food Processing. Nutr. Food Technol. 2017;3:138.
-
- Monteiro C., Cannon G., Levy R.B., Claro R., Moubarac J.-C., Martins A.P., Louzada M.L., Baraldi L., Canella D. The big issue for nutrition, disease, health, well-being. World Nutr. 2012;3:527–569.
-
- Moubarac J.-C., Parra D.C., Cannon G., Monteiro C.A. Food Classification Systems Based on Food Processing: Significance and Implications for Policies and Actions: A Systematic Literature Review and Assessment. Curr. Obes. Rep. 2014;3:256–272. - PubMed
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