Some like it healthy: Can socio-demographic characteristics serve as predictors for a healthy food choice?

Contini, Caterina; Casini, Leonardo; Stefan, Violeta; Romano, Caterina; Juhl, Hans Jørn; Lähteenmäki, Liisa; Scozzafava, Gabriele; Grunert, Klaus G.

doi:10.1016/j.foodqual.2015.07.009

Cited by 44 publications

(48 citation statements)

References 31 publications

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“…MNL used to estimate part-worth utilities. Barreiro-Hurle (2010) [30]Spain.Repeated measures: price (4 levels) x nutrition labelformats (2 levels) x claims (1 nutrient comparison, 1 disease reduction).800 participants, consumers of sausages and yoghurt.Random Parameters Logit (RPL) model. Casini (2014) [33]Italy.Repeated measures: certification (4 levels) x site of production (4 levels) x health claim - (4 levels including no claim) x price (4 levels). Online survey.260 Italian consumers.Latent class choice model. Contini (2015) [35]Denmark and Italy.Repeated measures: price (4 levels) x origin/site of production (4 levels) x health claim (8 levels −3 relevant to Review).2024 participants, 51% Denmark, 49% Italy.Latent class model. Cluster analysis: 8-class model. Loose (2013) [44]Australia.Repeated measures: 8 attributes (levels ranging from 2 to 8): incl.…”

Section: Resultsmentioning

confidence: 99%

“…There were two studies that used multiple countries; Contini et al (2015) [35] compared consumer behaviour of participants in Denmark and Italy, and Van Wezemael et al (2014) [54] investigated consumer preferences in Belgium, France, the Netherlands, and the UK. There were eight studies [14, 32, 39, 41, 45, 48–50, 52] conducted in North America, one of which was conducted in Canada [32].…”

Section: Resultsmentioning

confidence: 99%

“…There was one study that measured the effects of health-related claims on ‘Fruits and Vegetables’ [48] whereas there were nine studies that examined ‘Foods High in Fat and/or Sugar’ [26, 31, 33, 35, 38–40, 42, 53], five studies examined ‘Beans, Pulses, Fish, Eggs, Meat and other Proteins’ [37, 44, 47, 50, 54], three studies on ‘Potatoes, Bread, Rice, Pasta and Other Starchy Carbohydrates’ [34, 46, 52], four studies on ‘Dairy and Alternatives’ [27, 36, 45, 51], and two studied ready meals [32, 41]. Six studies looked at multiple categories of foods [14, 25, 28–30, 49].…”

Section: Resultsmentioning

confidence: 99%

“…In total, 16 studies [27, 28, 30, 33, 35–38, 42, 44–49, 54] reported the likelihood of choosing a product when a health-related claim was present, one study presented the percentage chosen of products with a health-related claim [29]. These results have been transformed into odds ratio where the comparator was always the same product without any claims (Table 3).…”

Section: Resultsmentioning

confidence: 99%

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A systematic review, and meta-analyses, of the impact of health-related claims on dietary choices

Kaur

Scarborough

Rayner

2017

Int J Behav Nutr Phys Act

149

166

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BackgroundHealth-related claims are statements regarding the nutritional content of a food (nutrition claims) and/or indicate that a relationship exists between a food and a health outcome (health claims). Their impact on food purchasing or consumption decisions is unclear. This systematic review measured the effect of health-related claims, on pre-packaged foods in retail settings, on adult purchasing decisions (real and perceived).MethodsIn September 2016, we searched MEDLINE, EMBASE, PsychINFO, CAB abstracts, Business Source Complete, and Web of Science/Science Citation Index & Social Science Citation Index for articles in English published in peer-review journals. Studies were included if they were controlled experiments where the experimental group(s) included a health-related claim and the control group involved an identical product without a health-related claim. Included studies measured (at an individual or population level); actual or intended choice, purchases, and/or consumption. The primary outcome was product choices and purchases, the secondary outcome was food consumption and preference. Results were standardised through calculating odds ratios and 95% confidence intervals (CI) for the likelihood of choosing a product when a health-related claim was present. Results were combined in a random-effects meta-analysis.ResultsThirty-one papers were identified, 17 of which were included for meta-analyses. Most studies were conducted in Europe (n = 17) and the USA (n = 7). Identified studies were choice experiments that measured the likelihood of a product being chosen when a claim was present compared to when a claim was not present, (n = 16), 15 studies were experiments that measured either; intent-rating scale outcomes (n = 8), consumption (n = 6), a combination of the two (n = 1), or purchase data (n = 1). Overall, 20 studies found that claims increase purchasing and/or consumption, eight studies had mixed results, and two studies found consumption/purchasing reductions. The meta-analyses of 17 studies found that health-related claims increase consumption and/or purchasing (OR 1.75, CI 1.60–1.91). ConclusionHealth-related claims have a substantial effect on dietary choices. However, this finding is based on research mostly conducted in artificial settings. Findings from natural experiments have yielded smaller effects. Further research is needed to assess effects of claims in real-world settings.Trial registrationPROSPERO systematic review registration number: CRD42016044042.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-017-0548-1) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

A systematic review, and meta-analyses, of the impact of health-related claims on dietary choices

Kaur

Scarborough

Rayner

2017

Int J Behav Nutr Phys Act

149

166

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“…The food justice (FJ) movement calls for a system with healthy and affordable food, sustainable production practices, and greater transparency (Agyeman and McEntee, ). Health‐related preferences are increasing (Grunert & Will 2007, as cited in Contini et al ., ). Consequently, cases for fair work and fair food have been made, exposing major retailer Wal‐Mart's provision of some healthy food at the expense of liveable wages (Myers and Sbicca, ).…”

Section: Reviewing the Role Of Perceptions In Food Acquisitionmentioning

confidence: 99%

Food in the City: Urban Food Geographies and ‘Local’ Food Sourcing in Melbourne and San Diego County

Mcgirr

Batterbury

2015

Geographical Research

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Perceptions of food systems and food acquisition decisions are grounded in specific socio‐economic and environmental contexts. Working in two relatively affluent urban communities in Melbourne, Australia and San Diego County, USA, this article explores the ways that individuals perceive their food systems, where they acquire food, and their definitions of ‘local’ sourcing. Surveys and interviews reveal a clear discrepancy between the ideals and the reality of food acquisition decision‐making, particularly the desire to eat ‘local food’. Survey respondents' realities do not live up to their expectations. These practices can largely be explained by the interplay between the respondents' perceived priorities, food preferences, dietary requirements, and decision‐making constraints in particular urban geographies. Further research is needed on the role of perceptions in food decision‐making in specific geographic contexts.

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Extra‐virgin olive oil: are consumers provided with the sensory quality they want? A hedonic price model with sensory attributes

et al. 2017

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Some like it healthy: Can socio-demographic characteristics serve as predictors for a healthy food choice?

Cited by 44 publications

References 31 publications

A systematic review, and meta-analyses, of the impact of health-related claims on dietary choices

A systematic review, and meta-analyses, of the impact of health-related claims on dietary choices

Food in the City: Urban Food Geographies and ‘Local’ Food Sourcing in Melbourne and San Diego County

Extra‐virgin olive oil: are consumers provided with the sensory quality they want? A hedonic price model with sensory attributes

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