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A scoping review of approaches used to develop plant-based diet quality indices

Published online by Cambridge University Press:  22 March 2023

L.E. Marchese
Affiliation:
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic. 3220, Australia
S.A. McNaughton
Affiliation:
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic. 3220, Australia
G.A. Hendrie
Affiliation:
Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Adelaide, SA 5001, Australia
K. Wingrove
Affiliation:
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic. 3220, Australia
K.M. Dickinson
Affiliation:
Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA 5042, Australia
K.M. Livingstone
Affiliation:
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic. 3220, Australia
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2023

Plant-based diets are growing in popularity and play a key role in healthy and sustainable dietary patterns. However, a variety of definitions for plant-based diets have been used in research.(Reference Storz1) To assess the diversity of foods that comprise a plant-based diet, studies have used diet quality indices to measure these in one comprehensive score.(Reference Kim, Rebholz and Garcia-Larsen2) A review of these indices is necessary to identify the critical features of existing tools and identify their strengths and weaknesses to be able to make recommendations for future research in this area. Hence, this scoping review aims to synthesise the literature on plant-based diet quality indices by examining their 1) basis for development, 2) scoring methodology and 3) validity. MEDLINE Complete, CINAHL complete and Global Health databases were systematically searched from 1980 to 2021. Cohort, case control and cross-sectional studies were included if they were conducted in adults ≥ 18 years old, assessed a plant-based diet using an a priori methodology, and quantified dietary intake into a numerical value. Articles were excluded if the index contained non-food components or were conducted among pregnant/lactating people. Eighty-seven articles were included from the electronic and hand searching of reference lists. The most commonly used indices across these 87 articles were the healthful (n = 36), overall (n = 25) and unhealthful plant-based diet indices (n = 27)(Reference Satija, Bhupathiraju and Rimm3) and the pro-vegetarian food pattern (n = 15).(Reference Martínez-González, Sánchez-Tainta and Corella4) In total, 33 unique plant-based diet quality indices were identified between 2007 to 2021. Most plant-based diet quality indices used epidemiological evidence for associations between individual foods and health outcomes as the basis for their development (n = 17), while others used the EAT-Lancet planetary health diet (n = 6), country-specific dietary guidelines (n = 5), or foods from traditional dietary patterns (n = 5). The number of food groups included in an individual index ranged from three to 36, with the most common food groups being fruits (n = 27), vegetables (n = 24, and legumes (n = 19). Thirteen indices further divided food groups into subgroups, including healthy or unhealthy foods (n = 6), plant- or animal-based foods (n = 5), or positive or negative foods (n = 4). The most prevalent scoring methodologies included categories of intake (n = 10), diet-specific cut-offs (n = 8), age and sex-specific cut offs (n = 6), and frequency of food intake (n = 5). The most common validation methods used were construct validity (n = 16), reliability (n = 11) and criterion validity (n = 4). This review highlights the diversity of approaches used in the development, scoring and validation of plant-based diet quality indices in recent decades. Outcomes from this review can assist researchers to identify the most appropriate indices to use for specific research questions and contexts and will inform the future refinement of plant-based diet quality indices.

References

Storz, MA (2022) Eur J Clin Nutr 76, 789800.CrossRefGoogle Scholar
Kim, H, Rebholz, CM, Garcia-Larsen, V, et al. (2020) J Nutr 150, 842850.CrossRefGoogle Scholar
Satija, A, Bhupathiraju, SN, Rimm, EB, et al. (2016) PloS Med 13, e1002039.CrossRefGoogle Scholar
Martínez-González, MA, Sánchez-Tainta, A, Corella, D, et al. (2014) Am J Clin Nutr 100, 320S328S.CrossRefGoogle Scholar