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Introducing Nordic based tempeh to Danish consumers; effect of variety seeking tendency and prior knowledge on acceptance

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Danish University Colleges

Introducing Nordic based tempeh to Danish consumers; effect of variety seeking tendency and prior knowledge on acceptance

Højer, Rikke; Dethlefsen, Sandra Lenz; Aaslyng, Margit Annie Dall

Publication date:

2021

Link to publication

Citation for pulished version (APA):

Højer, R., Dethlefsen, S. L., & Aaslyng, M. A. D. (2021). Introducing Nordic based tempeh to Danish consumers;

effect of variety seeking tendency and prior knowledge on acceptance. Poster session presented at Pangborn Sensory Science Symposium, Canada.

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Download date: 24. Mar. 2022

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U N I V E R S I T Y C O L L E G E A B S A LO N

C E N T E R F O R N U T R I T I O N A N D R E H A B I L I TAT I O N

Introduction

The new Danish dietary guidelines now also include a climate perspective in order to promote a more sus- tainable diet by for example focusing on vegetable protein sources1.

Based on this tempeh is interesting, but it is not a well-know food in Nordic food culture.

Discussion

DVFA recommends a legumes intake of 100 g/

day1, but Danes only consume 5 grams/day4. This might explain the low liking of the two legume based tempehs; legumes are not a part of Danish food culture, whereas rye bread is very familiar, which could explain the higher liking of the grain tempeh.

Our study also showed that familiarity (prior knowledge) was a key element related to ac- ceptance, which is supported by prior research related to consumer attitude towards meat sub- stitutes5.

Finally, the positive significant correlation be- tween VAR-SEEK and acceptance of tempeh in- dicates that an openness to new food products could be a driver for a more positive attitude to- wards the food product.

Conclusions

VAR-SEEK was a driver for trying tempeh

A weak but significant correlation between VAR-SEEK and acceptance of the tempeh types was observed.

Prior knowledge of tempeh was an important factor in willingness to use tempeh again, which indicates that familiarity is an important indicator in promoting

tempeh intake in a Nordic context.

References

1. The Danish Veterinary and Food Administration (DVFA) (n.d.): Altomkost.dk [accesed 06.29. 2021]

2. Heymann, H. & Lawless, H.T. (2010). Sensory Evaluation of Food.- Principles and Practices. 2. edt., Springer, New York.

3. van Trijp, H.C.M. & Steenkamp, J.E.M. (1992). Consumers' variety seeking tendency with respect to foods: Measurement and managerial implications. European Review of Agricultural Economics, 19, (2), 181 -195.

4. DTU FOOD (2020). En sund og bæredygtig kost er mere plantebaseret. DTU Fødevareinstituttet. https://www.food.dtu.dk/nyheder/2020/02/en-sund-og-baeredygtig-kost-er-mere-plantebaseret?id=b8072640-af60- 4bf9-8952-19867cc4fb70 [accesed 06.29. 2021]

5. Hartmann, C. & Siegrist, M. (2017). Consumer perception and behaviour regarding sustainable protein consumption: A systematic review. Trends in Food Science & Technology 61, 11-25.

Acknowledgements: The study was founded by the European Regional Development Fund and Væksforum Sjælland through the project Data and Design driven Health Innovation (DDSI); Contempehrary (RFS-17-0010). A special thanks to Tobias and Sabine from Contempehrary who produce the tempeh for their involvement (www.contempehrary.com)

Methods

Study population

Adults (n=88) 18-38 yr from 56 households

Study design

In a home use test (HUT)2 a meal with three types of tempeh: fava beans, yellow split peas, and grain and hemp was evaluated in a survey.

Introducing Nordic based tempeh to Danish consumers; effect

of variety seeking tendency and prior knowledge on acceptance

Højer, Rikke*

1

, Dethlefsen, Sandra Lenz

1

, & Aaslyng, Margit Dall

1

*Presenting and corresponding author (rho@pha.dk)

1 University College Absalon, Center for Nutrition and Rehabilitation, Nutrition and Health, Sdr. Stationsvej 30, 4200 Slagelse, Denmark

Figure 1: Study design

Image 1: Examples of nordic based tempeh: fava bean, yellow split peas, and grain and hemp.

Photo credit: Contempehrary

Fava bean

Yellow split peas

Grain & hemp

The aim of the present study was to explore the effect of variety seeking tendency (VAR-SEEK) and prior knowledge of tempeh on acceptance of grain and legumes-based tempeh in Denmark.

Image 2: Pizza with three types of tempeh.

Photo credit: R. Højer

Image 3: Filo rolls with three types of tempeh.

Photo credit: R. Højer

Figure 2: Variety seeking tendency in sample (n = 88) based on VAR-SEEK score (MVAR-SEEKscore = 31). VAR-SEEK catego- ries defined3

Table 1: VAR-SEEK category and liking of tempeh

Theme VAR-SEEK category n Mean

General liking of dish* Low VAR-SEEK 5 -0.80

Medium VAR-SEEK 70 0.77

High VAR-SEEK 13 0.77

Total 88 0.68

Fava bean tempeh – accept** Low VAR-SEEK 5 -4.80 Medium VAR-SEEK 70 -2.54

High VAR-SEEK 13 -1.00

Total 88 -2.44

Yellow split pea tempeh – accept** Low VAR-SEEK 5 -9.40 Medium VAR-SEEK 70 -0.63

High VAR-SEEK 13 -0.31

Total 88 -1.08

Grain tempeh – accept** Low VAR-SEEK 5 -6.40

Medium VAR-SEEK 70 0.00

High VAR-SEEK 13 3.00

Total 88 0.08

Tempeh as a good meat substitute* Low VAR-SEEK 5 -0.40

Medium VAR-SEEK 70 0.21

High VAR-SEEK 13 0.92

Total 88 0.28

*9 point hedonic scale, score: min. = -4/max. = 4

** Score: min. = -16/max. = 16

Results

Participants were primarily medium variety seekers3 (Figure 2).

Significant difference between VAR-SEEK and sign-up/co-eater was observed (p =

0.041): sign-up had a higher VAR-SEEK (MVAR-SEEKscore = 32) compared to co-eaters (MVAR-SEEKscore = 30).

A tendency of higher VAR-SEEK resulted in a higher liking of tempeh, although not signifi- cant. The most liked tempeh type was grain and hemp (Table 1).

Significant but weak correlations between VAR-SEEK and acceptance of tempeh were observed (Fava: p = 0.02, r = 0.25; Pea: p = 0.036, r = 0.22; Grain: p = 0.007, r = 0.29).

Significant difference between participants with (n = 32) or without (n = 56) prior know- ledge of tempeh with regard to reuse of

tempeh was observed (Fava: p = 0.004, MKnow = 0, MNoKnow = -1.7; Pea: p = 0.001, MKnow = 0.3, MNoKnow = -1.5;

Grain: p = 0.011, MKnow = 0.5, MNoKnow = -1).

Referencer

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