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      The Influence of Taste Liking on the Consumption of Nutrient Rich and Nutrient Poor Foods

      review-article
      1 , 2 , * , 1 , 2
      Frontiers in Nutrition
      Frontiers Media S.A.
      taste, consumer, sensory, food, nutrition

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          Abstract

          Repeated consumption of high-energy nutrient poor foods can lead to undesirable health outcomes such as obesity. Taste plays an important role in food choice, and a better understanding of the links between the taste of foods, individual taste preferences, food choices, and intakes will aid in our understanding of why some people might select and consume unhealthy foods. The present review focuses on three main questions: (1) do nutrient poor and nutrient rich foods significantly differ in taste profile? (2) are humans predisposed toward developing a liking or preference for certain taste profiles? (3) how are individual variations in liking of the basic taste qualities related to long term food intake and adverse health outcomes such as obesity? Results indicated that nutrient poor foods were likely to be sweet, salty and fatty mouthfeel, while the taste profiles of nutrient rich foods were diverse. Although humans are born with a universal liking for sweet and aversion for bitter taste, large individual differences exist in liking of all the basic taste qualities. These individual differences partly explain differences in short term intakes of foods varying in taste profiles. However they fail to sufficiently explain long term food choices and negative health outcomes such as obesity. Future studies should focus on how the full sensory profile of food which includes taste, smell and texture interacts with individual characteristics (e.g., taste or health motivations, taste preferences) to affect consumption of nutrient rich and nutrient poor foods.

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          Most cited references92

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          Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods.

          Ranking and/or classifying foods based on their nutrient composition is known as nutrient profiling. Nutrition quality indices need to be tested and validated against quality of the total diet. A family of nutrient-rich foods (NRF) indices were validated against the Healthy Eating Index (HEI), an accepted measure of diet quality. All foods consumed by participants in NHANES 1999-2002 studies were scored using NRFn.3 (where n = 6-15) indices based on unweighted sums, means, and ratios of percent daily values (DV) for nutrients to encourage (n) and for nutrients to limit (LIM) (3). Individual food scores were calculated based on 100 kcal (418 kJ) and FDA serving sizes [reference amounts customarily consumed (RACC)]. Energy-weighted food-based scores per person were then regressed against HEI, adjusting for gender, age, and ethnicity. The measure of index performance was the percentage of variation in HEI (R2) explained by each NRF score. NRF indices based on both nutrients to encourage and LIM performed better than indices based on LIM only. Maximum variance in HEI was explained using 6 or 9 nutrients to encourage; index performance actually declined with the inclusion of additional vitamins and minerals. NRF indices based on 100 kcal (418 kJ) performed similarly to indices based on RACC. Algorithms based on sums or means of nutrient DV performed better than ratio-based scores. The NRF9.3 index, based on 9 nutrients to encourage and 3 LIM per RACC and per 100 kcal, explained the highest percentage of variation from HEI and could be readily expected to rank foods based on nutrient density.
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            The Nutrient Rich Foods Index helps to identify healthy, affordable foods.

            The Nutrient Rich Foods (NRF) Index is a formal scoring system that ranks foods on the basis of their nutrient content. When used in conjunction with a food prices database, it can help identify foods that are both nutritious and affordable. Our aim was to identify healthy, affordable foods and food groups by using the NRF index and US Department of Agriculture (USDA) nutrient composition and food prices data sets. Foods in the USDA Food and Nutrition Database for Dietary Studies 1.0 were scored by using the NRF index. This NRF algorithm was represented by the sum of the percentage of the daily values of 9 nutrients to encourage (protein, fiber, vitamin A, vitamin C, vitamin E, calcium, iron, magnesium, and potassium) minus the sum of the percentage of the maximum recommended values for 3 nutrients to limit (saturated fat, added sugar, and sodium). NRF scores and mean national food prices were calculated per calorie and per US Food and Drug Administration-defined serving. Each of the 9 USDA food groups offered foods of diverse nutritive value and cost. Eggs, dry beans and legumes, and meat and milk products were the lowest-cost sources of protein. Milk and milk products were the lowest-cost sources of calcium, whereas vegetables and fruit were the lowest-cost sources of vitamin C. Milk, potatoes, citrus juices, cereals, and beans had more favorable overall nutrient-to-price ratios than did many vegetables and fruit. Energy-dense grains, sweets, and fats provided most of the calories but fewer nutrients per dollar. One important application of nutrient profile models is to help consumers identify foods that provide optimal nutrition at an affordable cost.
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              Quantification of consumer attitudes to health and hedonic characteristics of foods.

              Health and Taste Attitudes Questionnaires were developed to assess consumers' orientations toward the health and hedonic characteristics of foods. Items were generated in a qualitative study. The original 37 items on health and 44 on taste were rated from "strongly disagree" to "strongly agree" by a representative sample of 1005 Finnish adults (18-81 years). The number of items was reduced using factor and item analysis, resulting in 20 health- and 18 taste-related statements. Three health-related and three taste-related factors were extracted. The health-related factors were labelled as "General health interest", "Light product interest", and "Natural product interest". The taste-related factors were named "Craving for sweet foods", "Using food as a reward", and "Pleasure". Cronbach's alphas of the multi-item scales, based on the statements loading highly on each factor, ranged from 0.67 to 0.89. Age and gender affected the responses. Females were more interested in the health and taste aspects of foods than were males. Younger respondents were less concerned with health but more interested in taste than were older respondents. A preliminary test of predictive validity was conducted by analysing subjects' responses to foods with weak and strong connotations of health and taste, and currently the questionnaires are being validated with further behavioural tests. Copyright 1999 Academic Press.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                15 November 2019
                2019
                : 6
                : 174
                Affiliations
                [1] 1Deakin University , Geelong VIC, Australia
                [2] 2Centre for Advanced Sensory Science, School of Exercise and Nutrition Sciences, Deakin University , Geelong VIC, Australia
                Author notes

                Edited by: Inge Tetens, University of Copenhagen, Denmark

                Reviewed by: Zhaojun Wei, Hefei University of Technology, China; Ester Betoret, Spanish National Research Council (CSIC), Spain

                *Correspondence: Djin Gie Liem gie.liem@ 123456deakin.edu.au

                This article was submitted to Nutrition and Food Science Technology, a section of the journal Frontiers in Nutrition

                Article
                10.3389/fnut.2019.00174
                6872500
                30809527
                584b11b6-3f57-45bf-9aa5-23abce083cbc
                Copyright © 2019 Liem and Russell.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 May 2019
                : 25 October 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 141, Pages: 10, Words: 9694
                Categories
                Nutrition
                Review

                taste,consumer,sensory,food,nutrition
                taste, consumer, sensory, food, nutrition

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