Elsevier

Appetite

Volume 52, Issue 2, April 2009, Pages 452-460
Appetite

Research report
Willingness to use functional breads. Applying the Health Belief Model across four European countries

https://doi.org/10.1016/j.appet.2008.12.008Get rights and content

Abstract

The present study focused on the role of the Health Belief Model (HBM) in predicting willingness to use functional breads, across four European countries: UK (N = 552), Italy (N = 504), Germany (N = 525) and Finland (N = 513). The behavioural evaluation components of the HBM (the perceived benefits and barriers conceptualized respectively as perceived healthiness and pleasantness) and the health motivation component were good predictors of willingness to use functional breads whereas threat perception components (perceived susceptibility and perceived anticipated severity) failed as predictors. This result was common in all four countries and across products. The role of ‘cue to action’ was marginal. On the whole the HBM fit was similar across the countries and products in terms of significant predictors (the perceived benefits, barriers and health motivation) with the exception of self-efficacy which was significant only in Finland. Young consumers seemed more interested in the functional bread with a health claim promoting health rather than in reducing risk of disease, whereas the opposite was true for older people. However, functional staple foods, such as bread in this European study, are still perceived as common foods rather than as a means of avoiding diseases. Consumers seek these foods for their healthiness (the perceived benefits) as they expect them to be healthier than regular foods and for the pleasantness (the perceived barriers) as they do not expect any change in the sensory characteristics due to the addition of the functional ingredients. The importance of health motivation in willingness to use products with health claims implies that there is an opening for developing better models for explaining health-promoting food choices that take into account both food and health-related factors without making a reference to disease-related outcome.

Introduction

Grain products are the major source of carbohydrate in the diet and dietary recommendations consistently stress the importance of grain choices, including whole grain products (Dietary Guidelines for Americans, 2005, LARN, 1996). Epidemiological studies found associations of habitual consumption of wholegrain foods with diseases, such as coronary heart disease (Wolk et al., 1999), ischemic stroke (Liu et al., 2000) and type 2 diabetes (Montonen, Knekt, Järvinen, Aromaa, & Reunanen, 2003). Cereal products can contain a considerable amount of fibre components and these have been linked to well-being of the gut and lowering the risk of cardio-vascular diseases in several studies (Pereira et al., 2004). Bread and pasta are probably the most studied cereal products regarding healthy effects when consumed (Järvi et al., 1995, Jenkins et al., 1986, Juntunen et al., 2002).

In recent years, cereals or cereal constituents have also been investigated regarding their potential use in developing functional foods (Charalampopoulos, Wang, Pandiella, & Webb, 2002). The definition of “functional food” is still an issue of debate (for an overview of definitions see Roberfroid, 2000). A widely accepted definition describes a functional food as a food that ‘affects beneficially one or more target functions of the body, beyond adequate nutritional effects, in a way that is relevant to either an improved state of health and well-being and/or reduction of risk of disease’ (Diplock et al., 1999). Functional foods with their specific health effects could, in the future, indicate a new mode of thinking about the relationships between food and health in everyday life. As consumers are reluctant to change eating habits, even when these are known to be unhealthy (Williamson, Hunt, Pope, & Tolman, 2000) but at the same time want to buy healthy foods (Brunsø, Grunert, & Bredahl, 1996), the potential for functional foods such as grain products might be promising. Enhancing the beneficial components in a cereal product creates the possibility of developing products that can be marketed with specific health claims, labelled according to the rules laid out in the new health claim regulation, if these claims are accepted by the EU commission (EC, 2006).

However, there is little research about which combinations of health claims and food carriers are most appealing to consumers (van Kleef, van Trijp, & Luning, 2005). Previous research (Bech-Larsen & Grunert, 2003) showed that the evaluation of health claims is partially determined by healthiness perceptions of the product. Even though there is increasing scientific evidence that some food components have beneficial effects beyond the provision of the basic nutrients, the development of effective persuasive health claims has proven to be rather difficult. Studies found that the effectiveness of health claims depends among other things on the strength of the association between consumers’ values and their attitudes to functional foods (Frewer, Scholderer, & Lambert, 2003). Foods are typically chosen for their good taste, convenience and price with health being only one reason among many (Margetts, Martinez, Saba, Holm, & Kearney, 1997) and so-called functional foods are not exceptions in this (Urala & Lähteenmäki, 2003). Consumers can only be expected to substitute conventional with functional foods if these latter are perceived as comparatively healthy (Ares & Gámbaro, 2007) and the promised health benefits are regarded as relevant (Verbeke, 2005). Consumers’ perceptions of the healthiness of the products, processes and enrichments involved in the production of functional foods are crucial in determining consumers’ acceptance of this type of food (Bech-Larsen & Grunert, 2003; Verbeke, 2005) as well as perceptions of taste, pleasure and familiarity (Poulsen, 1999; Urala and Lähteenmäki, 2003, Urala and Lähteenmäki, 2004). Despite the prospect of a promising future for cereal-based functional foods, there is again little research reporting empirical studies of consumer acceptance of such products (Arvola et al., 2007, Dean et al., 2007).

Products with health claims bring food into the domain of health behaviour over and above eating behaviour which is largely governed by factors such as taste, pleasure and familiarity. Many theories and models have been used to understand health behaviour: the Transtheoretical Model (Prochaska & DiClemente, 1992), Theory of Self-Efficacy (Bandura, 1977), and Health Belief Model (HBM) (Rosenstock, 1974). In particular, the Health Belief Model has a long history and was proposed to help explain why individuals do not participate in health prevention programmes (Stretcher & Rosenstock, 1997). In addition, throughout the decades this theoretical model has been broadly applied in predicting health-related behaviours, preventive health behaviours, sick role behaviours and clinic use (Sheeran & Abraham, 1995). On the other hand, the applications of the HBM in the food choice area have been largely lacking with some sporadic exceptions relating to food safety (Schafer, Shafer, Bultena, Hoiberg, 1993), food-handling behaviour (Hanson & Benedict, 2002) and folate knowledge (Kloeblen, 1999).

Briefly, the concept of the HBM focuses on two aspects of heath behaviour: threat perception and behavioural evaluation. Threat perception refers to a ‘perceived susceptibility’ to illness and a ‘perceived anticipated severity’ of the consequences of such an illness, whilst behavioural evaluation concerns the ‘benefits’ and the ‘barriers’ to enacting a behaviour (Sheeran & Abraham, 1995). Additionally, the HBM proposes ‘cue to action’ and ‘health motivation’ as two other cognitive components that refer respectively to ‘the trigger of health behaviour when appropriate beliefs are held’ and as the ‘readiness to be concerned about health matters’ (Becker, Haefner, & Maiman, 1977; Sheeran & Abraham, 1995). More recently, Becker and Rosenstock (1987) suggested ‘perceived behavioural control’ as a further predictor of health behaviour that should be added to the HBM. Specifically, in the context of the HBM, this control component was measured as ‘perceived self-efficacy’ defined by Bandura, 1977, Bandura, 1991 as the extent to which performance of the behaviour is easy or difficult for the individual.

In light of this, one of the objectives of the present study is to fill the gap in the food choice domain investigating how well the HBM is able to predict willingness to use functional food products and which components of the HBM are the best predictors of health-related food choices. The choice of the HBM as a predicting model was based on the key reason that these new types of functional foods clearly belong both in the food choice behaviour domain, and in the health behaviour domain. Additionally the HBM, proposes threat perception variables upon which health-related claims are supposed to be based. Consequently, another important objective of this study is to investigate whether a model from health psychology can be applied to predict choices of foods with health claims and whether the type of health claim (promoting health or reducing risk of disease) has an impact on the predictive power of the model in different European countries.

Section snippets

Participants

Sampling was performed in each country within the following quotas on gender and age: 50% male and 50% female; 50% of respondents under 40 years and 50% of respondents 41 years or more. Respondents also represented different geographical areas within each country. The participants were solely or jointly responsible for the household’s grocery shopping. The final sample sizes were 552 in UK, 504 in Italy, 525 in Germany and 513 in Finland. The age range of the participants was between 18 and 82

Data analysis

Mean differences between HBM variables were investigated using ANOVAs together with Tukey tests. The causal relationships between the variables were analyzed using multiple linear regression analysis for each product and country. Willingness to use was selected as the dependent variable and all the others as independent variables which were all entered into the regression in a single step. Therefore, two HBMs for each country were carried out, one for cholesterol lowering bread and another for

Multiple linear regression within each country and product

The preliminary means and S.D.s of the HBM variables are respectively shown in Table 1, Table 2 by country, product and age classes. (No differences were found for gender. Results not shown but they can be acquired from the first author.) The main results of the multiple linear regressions of the HBMs are in sequence shown in Table 3, Table 4 by country and product. (No differences were found either for gender or age classes. Data not shown but they can be acquired from the first author.)

HBM as a model predicting willingness to use foods with health claims

In this study the HBM was found to be quite good at explaining willingness to use cereal-based products with health claims. The explained variance of willingness to use ranged from 26% to 53% (Table 3, Table 4). This is comparable to the variance explained by the Theory of Planned Behaviour (TPB) and the Theory of Reasoned Action (TRA) models, as shown by Armitage and Conner (2001) in their meta-analyses based on 154 studies covering different kinds of behaviour including food consumption. They

Acknowledgements

This study was financially supported by the European Commission in the Communities 6th Framework Programme, Project HEALTHGRAIN (PF6-514008). This publication reflects only authors’ views and the Community is not liable for any use that may be made of the information contained in this publication.

References (63)

  • J.A. Hanson et al.

    Use of the Health Belief Model to examine older adults’ food-handling behaviors

    Journal of Nutrition Education and Behavior

    (2002)
  • A.E. Järvi et al.

    The influence of food structure on postprandial metabolism in patients with non-insulin-dependent diabetes mellitus

    American Journal of Clinical Nutrition

    (1995)
  • D.J. Jenkins et al.

    Low glycemic response to traditionally processed wheat and rye products: bulgur and pumpernickel bread

    American Journal of Clinical Nutrition

    (1986)
  • K.S. Juntunen et al.

    Postprandial glucose, insulin, and incretin responses to grain products in healthy subjects 1–3

    American Journal of Clinical Nutrition

    (2002)
  • S. Kayman

    Applying theory from social psychology and cognitive behavioral psychology to dietary behavior change and assessment

    Journal of the American Dietetic Association

    (1989)
  • A.S. Kloeblen

    Folate Knowledge, intake from fortified grain products, and periconceptional supplementation patterns of a sample of low-income pregnant women according to the Health Belief Model

    Journal of the American Dietetic Association

    (1999)
  • M. Lyly et al.

    Factors influencing consumers’ willingness to use beverages and ready-to-eat frozen soups containing oat β-glucan in Finland, France and Sweden

    Food Quality and Preference

    (2007)
  • J. Montonen et al.

    Whole-grain and fiber intake and the incidence of type 2 diabetes

    American Journal of Clinical Nutrition

    (2003)
  • N. Richardson et al.

    Consumer attitudes to meat eating

    Meat Science

    (1994)
  • R.B. Schafer et al.

    Food safety: an application of the Health Belief Model

    Journal of Nutrition Education and Behavior

    (1993)
  • H. Tuorila et al.

    Consumer response to an off flavour in juice in the presence of specific health claims

    Food Quality and Preference

    (2002)
  • N. Urala et al.

    Attitudes behind consumers’ willingness to use functional foods

    Food Quality and Preference

    (2004)
  • E. van Kleef et al.

    Functional foods: health claim-food product compatibility and the impact of health claim framing on consumer evaluation

    Appetite

    (2005)
  • W. Verbeke

    Consumer acceptance of functional foods: socio-demographic, cognitive and attitudinal determinants

    Food Quality and Preference

    (2005)
  • W. Verbeke

    Functional foods: consumer willingness to compromise on taste for health?

    Food Quality and Preference

    (2006)
  • A.S. Anderson et al.

    Take five, a nutrition education intervention to increase fruit and vegetable intakes: impact on attitudes towards dietary change

    British Journal of Nutrition

    (1998)
  • C.J. Armitage et al.

    Efficacy of the theory of planned behaviour: a meta-analytic review

    British Journal of Social Psychology

    (2001)
  • A. Bandura

    Self-efficacy: toward a unifying theory of behavioral change

    Psychological Review

    (1977)
  • M.H. Becker et al.

    The Health Belief Model in the prediction of dietary compliance: a field experiment

    Journal of Health and Social Behaviour

    (1977)
  • M.H. Becker et al.

    Comparing social learning theory and the health belief model

  • Brunsø, K., Grunert, K. G., & Bredahl, L. (1996). An analysis of national and cross-national consumer segments using...
  • Cited by (118)

    • Consumer acceptance of different cereal-based “healthy foods”

      2023, Developing Sustainable and Health-Promoting Cereals and Pseudocereals: Conventional and Molecular Breeding
    • Health-related nutritional preferences of older adults: A segmentation study for functional food development

      2022, Journal of Functional Foods
      Citation Excerpt :

      Consultation and collaboration with health associations are recommended to gain a deeper knowledge about the needs and habits of consumers affected by diseases. Based on findings of previous research presenting the relationship between active component and health benefit is a key factor to increase acceptance of functional food products (Urala & Lähteenmäki, 2003; Vassallo et al., 2009; Verbeke et al., 2009). Lack of information can be a main barrier in regard to health improvement programmes among older adults, as a Poland study revealed (Wądołowska et al., 2009).

    View all citing articles on Scopus
    View full text