The relative importance of primary food choice factors among different consumer groups: A latent profile analysis (2024)

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Article preview Food Quality and Preference Abstract Introduction Section snippets Materials and methods Descriptive statistics Fit statistics Discussion Conclusion CRediT authorship contribution statement Declaration of Competing Interest References (87) The effects of food advertising on food-related behaviours and perceptions in adults: A review Food Research International Consumer segmentation based on food-category attribute importance: The relation with healthiness and sustainability perceptions Food Quality and Preference A structural equation model of latent segmentation and product choice for cross-sectional revealed preference choice data Journal of Retailing and Consumer Services Development of a measure of the motives underlying the selection of food: The food choice questionnaire Appetite Validity of a questionnaire measuring motives for choosing foods including sustainable concerns Appetite Relative importance of cues underlying Spanish consumers’ beef choice and segmentation, and consumer liking of beef enriched with n-3 and CLA fatty acids Food Quality and Preference Motives for food choice: A comparison of consumers from Japan, Taiwan, Malaysia and New Zealand Food Quality and Preference The salience of food labeling among low-income families with overweight children Journal of Nutrition Education and Behavior Pleasure: An under-utilised ‘P’in social marketing for healthy eating Appetite A cross-national consumer segmentation based on food benefits: The link with consumption situations and food perceptions Food Quality and Preference Irish consumer acceptance of a hypothetical second-generation GM yogurt product Food Quality and Preference A causal model of consumer involvement Journal of Economic Psychology Understanding the motives for food choice in Western Balkan Countries Appetite Eating for pleasure or just wanting to eat? Reconsidering sensory hedonic responses as a driver of obesity Appetite Relating the food involvement scale to demographic variables, food choice and other constructs Food Quality and Preference Food4Me study: Validity and reliability of Food Choice Questionnaire in 9 European countries Food Quality and Preference Reducing the energy density of an entree decreases children’s energy intake at lunch Journal of the American Dietetic Association The power of sensory marketing in advertising Current Opinion in Psychology Using non-food information to identify food-choice segment membership Food Quality and Preference Russian consumers’ motives for food choice Appetite Why Americans eat what they do Journal of the Academy of Nutrition and Dietetics Position of the academy of nutrition and dietetics: Total diet approach to healthy eating Journal of the Academy of Nutrition and Dietetics Social modeling of eating: A review of when and why social influence affects food intake and choice Appetite Time to address continued poor vegetable intake in Australia for prevention of chronic disease Appetite Extrinsic attributes of red meat as indicators of quality in Europe: An application for market segmentation Food Quality and Preference Influence of gender, age and motives underlying food choice on perceived healthiness and willingness to try functional foods Appetite Importance of taste, nutrition, cost and convenience in relation to diet quality: Evidence of nutrition resilience among US adults using National Health and Nutrition Examination Survey (NHANES) 2007–2010 Preventive Medicine The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food American Journal of Public Health Point-of-purchase price and education intervention to reduce consumption of sugary soft drinks American Journal of Public Health Low income is associated with poor adherence to a Mediterranean diet and a higher prevalence of obesity: Cross-sectional results from the Moli-sani study BMJ Open Social marketing to improve healthy dietary decisions: Insights from a qualitative study in Mexico Qualitative Market Research Main factors underlying consumers' food choice: A first step for the understanding of attitudes toward “healthy eating” Journal of Sensory Studies Relating latent class analysis results to variables not included in the analysis Beverages Sales in Mexico before and after Implementation of a Sugar Sweetened Beverage Tax PLoS ONE Sensory and hedonic judgments of common foods by lean consumers and consumers with obesity Obesity Research The influence on population weight gain and obesity of the macronutrient composition and energy density of the food supply Current Obesity Reports Cited by (4) An 18-country analysis of the effectiveness of five front-of-pack nutrition labels High hopes for front-of-pack (FOP) nutrition labels? A conjoint analysis on the trade-offs between a FOP label, nutrition claims, brand and price for different consumer segments Consumers’ attitudes towards lab-grown meat, conventionally raised meat and plant-based protein alternatives Czech Consumers’ Preference for Organic Products in Online Grocery Stores during the COVID-19 Pandemic Recommended articles (6) Do wine experts share the same mental representation? 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Abstract

Food choices determine consumers’ dietary and energy intakes, and in turn their risk of obesity and diet-related diseases. Factors affecting food choices are complex, varied, and inter-connected. The aims of this study were to assess the relative importance of four factors influencing food choices (taste, price, healthiness, and convenience) and identify segments of consumers according to their ratings. Australian consumers (n=1,558) aged 18+years completed an online survey assessing a range of factors influencing their food choices, including the perceived importance of taste, price, healthiness, and convenience. Latent profile analysis was undertaken to identify segments, with bivariate analyses then conducted to describe the differences between the derived segments. Overall, taste was reported to be the dominant factor determining food choices (Mean (M)=4.42; SD=0.72; z-score=0.43), followed by price (M=4.19; SD=0.78; z-score=0.15), healthiness (M=4.07; SD=0.82, z-score=0.00), and finally convenience (M=3.79; SD=0.82, z-score=-0.35). However, there were variations in absolute and relative ratings across the four identified segments. Two segments (‘High involvement’ and ‘Taste focused’, together accounting for 53% of the sample) rated taste highest, and the other two segments (‘Moderate involvement’ and ‘Indifferent’, 47% of the sample) rated price highest. Age, gender, residential location, and responsibility for grocery shopping were associated with segment membership. Understanding the dominant drivers of food choices across different consumer segments is useful for the development of tailored nutrition promotion messages and interventions to address obesity and other diet-related diseases.

Introduction

The Australian Dietary Guidelines recommend consuming a wide variety of foods daily from the five main food groups (vegetables, fruit, grain cereals, lean meats and alternatives, and dairy foods and alternatives), and limiting ‘discretionary’ foods containing high levels of saturated fat, added salt, or sugars (National Health and Medical Research Council (NHMRC), 2013). However, few Australians meet these recommendations. <10% of adults eat the recommended five serves of vegetables daily, and discretionary foods contribute more than 35% of adults’ daily energy intakes (Australian Bureau of Statistics, (ABS) 2016). This situation is similar around the world, and increasing numbers of people are consuming suboptimal diets that are inconsistent with dietary guidelines (Haack and Byker, 2014, Raulio et al., 2015, Rodríguez-Rodríguez et al., 2017). Poor dietary patterns and high-energy intake contribute to obesity and a range of other nutrition-related diseases that are significant public health concerns globally (World Health Organization (WHO), 2017).

Achieving a healthy diet and a healthy weight are substantial challenges. Once an individual is overweight or obese, it is very difficult to lose weight or maintain weight loss (Sumithran et al., 2011). This is confounded by a global transition in the food supply to greater availability of highly palatable, cheaper, and energy-dense foods (Crino et al., 2015, Popkin, 2017, Vandevijvere et al., 2015). The heavy promotion of these energy-dense and nutrient-poor foods adversely influences consumers’ food choice decisions (Vukmirovic, 2015). Interventions designed to counteract these forces need to be based on a detailed understanding of the factors that facilitate or hinder healthy food choices.

Among other early research on food choice motives, Steptoe, Pollard, & Wardle (1995) developed the Food Choice Questionnaire that addresses nine factors that potentially influence food decisions: sensory appeal (encompassing appearance, taste, and smell), price, healthiness of the food, convenience (easiness to prepare and availability), mood (comprising mood improvement and stress reduction), natural content, weight control, familiarity, and ethical concern. Of these factors, studies from different countries have consistently identified taste, price, healthiness, and convenience as dominating food choices (Aggarwal et al., 2016, Glanz et al., 1998, Hebden et al., 2015, Prescott et al., 2002, Steptoe et al., 1995). While some differences have been found in how people prioritise these factors, taste is typically ranked as most important, with the other factors varying in their relative subsequent positions (Glanz et al., 1998, Markovina et al., 2015, Onwezen et al., 2012, Prescott et al., 2002, Sautron et al., 2015, Verain et al., 2016). Understanding the different consumer segments that exist in relation to the prioritisation of these food choice factors is important for a wide range of public health policies (Grier & Bryant, 2005). These include policies relating to food advertising regulations, food taxation, reformulation targets, and population nutrition education programs.

Approaches to market segmentation vary according to the criterion variables under investigation (i.e., food choice factors in this instance), the predictor variables selected (e.g., demographic characteristics), and the analytical method used. Many segmentation studies to date investigating food choice factors have focused on specific food products (e.g., Ares and Gámbaro, 2007, Bernués et al., 2003, O’Connor et al., 2006, Realini et al., 2014, Verain et al., 2016), and those that have looked at factors affecting food choice in general have been mainly conducted in Europe (e.g., Honkanen and Frewer, 2009, Kornelis et al., 2010, Milošević et al., 2012, Onwezen et al., 2012). In addition, there is the potential to undertake more comprehensive segmentation analyses by including a broader range of potential explanatory variables. Examples of such variables include health-related special dietary requirements, perceived nutrition knowledge, perceived diet healthiness, and grocery-buying role in the household (James, 2004, Moorman et al., 2004, O’Brien et al., 2014, Shatenstein, 2008, Sobal and Bisogni, 2009, Worsley, 2002).

In terms of analytical methods, most food choice factor segmentation studies to date have used cluster analysis (e.g., Ares and Gámbaro, 2007, Bernués et al., 2003, Honkanen and Frewer, 2009, Milošević et al., 2012, O’Connor et al., 2006, Verain et al., 2016). In recent years, latent profile analysis has emerged as an advanced method that involves classifying individuals into different segments based on a probabilistic model-based approach that describes the distribution of the data after taking uncertainty about segment membership into account. This analysis uses statistical tests selecting the best model so that the choice of the segments is less arbitrary, thereby outperforming the traditional cluster analysis explanatory approach (Fraley and Raftery, 1998, Hagenaars and McCutcheon, 2009, Magidson and Vermunt, 2002). To date, however, few studies have employed this approach in the context of food choice research (exceptions include Kornelis et al., 2010, Realini et al., 2014), and there remains the potential to use this sophisticated analysis method to obtain a deeper understanding of the interplay between different choice factors across different consumer segments.

The present study aimed to assess (a) the relative importance of the food choice factors of taste, price, convenience, and healthiness in determining consumers’ food choices; (b) identify segments of consumers based on these ratings; (c) describe the characteristics of derived segments; and (d) consider the results for the food policy and program implications. This study extends prior food choice segmentation research by investigating across food types, applying a wide range of predictor variables, and using latent profile analysis to identify discrete consumer segments. The results are interpreted in terms of the implications for nutrition policies and programs.

Section snippets

Materials and methods

This study was part of a larger research project assessing the influence of nutrition information and food labelling on Australians’ food choices (Talati et al., 2017). Ethics approval for the project was obtained from the Curtin University Human Research Ethics Committee (approval number: RDHS-11-15) and all participants provided informed consent.

Descriptive statistics

Across the entire sample, taste was rated as the most important determinant of food choice, with a mean score of 4.42 on the 5-point scale (SD=0.72, z-score=0.43). This was followed by price (M=4.19, SD=0.78, z-score=0.15) and healthiness (M=4.07, SD=0.82, z-score=0.00). Convenience was rated lowest (M=3.79, SD=0.82, z-score=-0.35). The z-score differences between the four food choice determinants were significant (p<0.001 for each paired comparison).

Fit statistics

The computed 2-to

Discussion

This study aimed to assess consumers’ relative ratings of the primary factors determining their food choices and identify segments according to these ratings. Among the four identified segments, taste was rated highest for two of the segments and also received an average rating of 4 or more on a 5-point scale for three segments that together comprised 93% of the sample. This finding relating to the importance of taste in driving food choices is consistent with previous studies (Aggarwal et al.,

Conclusion

This study contributes to the growing evidence that taste and price are the most important factors determining consumers’ food choice decisions. Although consideration of food healthiness in consumption decisions is important for preventing nutrition-related chronic health conditions, the findings of the present study show that this factor was rated lower relative to taste and price for the large majority of respondents, regardless of levels of perceived diet healthiness, perceived nutrition

CRediT authorship contribution statement

Liyuwork Mitiku Dana: Conceptualization, Data curation, Formal analysis, Methodology, Writing - original draft, Writing - review & editing. Kathy Chapman: Writing - original draft, Writing - review & editing. Helen Dixon: Funding acquisition, Methodology, Writing - review & editing. Caroline Miller: Funding acquisition, Methodology, Writing - review & editing. Bruce Neal: Funding acquisition, Methodology, Writing - review & editing. Bridget Kelly: Funding acquisition, Methodology, Writing -

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References (87)

  • E. O’Connor et al.

    Irish consumer acceptance of a hypothetical second-generation GM yogurt product

    Food Quality and Preference

    (2006)

  • B. Mittal et al.

    A causal model of consumer involvement

    Journal of Economic Psychology

    (1989)

  • J. Milošević et al.

    Understanding the motives for food choice in Western Balkan Countries

    Appetite

    (2012)

  • D.J. Mela

    Eating for pleasure or just wanting to eat? Reconsidering sensory hedonic responses as a driver of obesity

    Appetite

    (2006)

  • D. Marshall et al.

    Relating the food involvement scale to demographic variables, food choice and other constructs

    Food Quality and Preference

    (2004)

  • J. Markovina et al.

    Food4Me study: Validity and reliability of Food Choice Questionnaire in 9 European countries

    Food Quality and Preference

    (2015)

  • K.E. Leahy et al.

    Reducing the energy density of an entree decreases children’s energy intake at lunch

    Journal of the American Dietetic Association

    (2008)

  • A. Krishna et al.

    The power of sensory marketing in advertising

    Current Opinion in Psychology

    (2016)

  • M. Kornelis et al.

    Using non-food information to identify food-choice segment membership

    Food Quality and Preference

    (2010)

  • P. Honkanen et al.

    Russian consumers’ motives for food choice

    Appetite

    (2009)

  • K. Glanz et al.

    Why Americans eat what they do

    Journal of the Academy of Nutrition and Dietetics

    (1998)

  • J.H. Freeland-Graves et al.

    Position of the academy of nutrition and dietetics: Total diet approach to healthy eating

    Journal of the Academy of Nutrition and Dietetics

    (2013)

  • T. Cruwys et al.

    Social modeling of eating: A review of when and why social influence affects food intake and choice

    Appetite

    (2015)

  • K. Chapman et al.

    Time to address continued poor vegetable intake in Australia for prevention of chronic disease

    Appetite

    (2016)

  • A. Bernués et al.

    Extrinsic attributes of red meat as indicators of quality in Europe: An application for market segmentation

    Food Quality and Preference

    (2003)

  • G. Ares et al.

    Influence of gender, age and motives underlying food choice on perceived healthiness and willingness to try functional foods

    Appetite

    (2007)

  • A. Aggarwal et al.

    Importance of taste, nutrition, cost and convenience in relation to diet quality: Evidence of nutrition resilience among US adults using National Health and Nutrition Examination Survey (NHANES) 2007–2010

    Preventive Medicine

    (2016)

  • T. Andreyeva et al.

    The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food

    American Journal of Public Health

    (2010)

  • Australian Bureau of Statistics. (2013). 1270.0.55.005 - Australian Statistical Geography Standard (ASGS): Volume 5 -...
  • Australian Bureau of Statistics. (2016). 4364.0.55.012 - Australian Health Survey: Consumption of food groups from the...
  • Australian Bureau of Statistics. (2017). 31010DO002_201612 - Australian Demographic Statistics, Dec 2016: Age...
  • Australian Bureau of Statistics. (2018). 2033.0.55.001 - Census of Population and Housing: Socio-Economic Indexes for...
  • Australian Institute of Health & Welfare. (2016). Australia’s Health 2016, Chapter 5. Canberra, Australia....
  • Ball, K., McNaughton, S. A., Le, H. N., Gold, L., Ni Mhurchu, C., Abbott, G., . . . Crawford, D. (2015). Influence of...
  • J.P. Block et al.

    Point-of-purchase price and education intervention to reduce consumption of sugary soft drinks

    American Journal of Public Health

    (2010)

  • M. Bonaccio et al.

    Low income is associated with poor adherence to a Mediterranean diet and a higher prevalence of obesity: Cross-sectional results from the Moli-sani study

    BMJ Open

    (2012)

  • Brownell, Farley, T., Willett, W., Popkin, B. M., Chaloupka, F., Thompson, J. W., & Ludwig, D. (2010). The public...
  • L. Carrete et al.

    Social marketing to improve healthy dietary decisions: Insights from a qualitative study in Mexico

    Qualitative Market Research

    (2014)

  • E. Carrillo et al.

    Main factors underlying consumers' food choice: A first step for the understanding of attitudes toward “healthy eating”

    Journal of Sensory Studies

    (2011)

  • S.L. Clark et al.

    Relating latent class analysis results to variables not included in the analysis

    (2009)

  • M.A. Colchero et al.

    Beverages Sales in Mexico before and after Implementation of a Sugar Sweetened Beverage Tax

    PLoS ONE

    (2016)

  • D.N. Cox et al.

    Sensory and hedonic judgments of common foods by lean consumers and consumers with obesity

    Obesity Research

    (1998)

  • M. Crino et al.

    The influence on population weight gain and obesity of the macronutrient composition and energy density of the food supply

    Current Obesity Reports

    (2015)

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    The relative importance of primary food choice factors among different consumer groups: A latent profile analysis (2024)
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