| Literature DB >> 34198901 |
Marta Sajdakowska1, Jerzy Gębski1, Krystyna Gutkowska1.
Abstract
The aim of our research was to assess whether and to what extent the perceived change in the content of selected ingredients in dairy products is important for Polish consumers in accepting the enhancement of the health benefits of dairy products, including yogurt. The data were collected using a CAPI (Computer Assisted Personal Interview) survey on a sample of 983 consumers. The logistic regression model was used to predict the behavior of consumers associated with their willingness to accept the health aspects of improving dairy products. The results indicated that changes in the level of selected ingredients enhanced the willingness to accept increasing the health value of the product. The socio-demographic characteristics of the participants were not associated with the degree of their willingness to accept the improvement of the perceived health attributes. Practitioners in the dairy industry and policy makers can benefit from these results. When designing food products, it is worth focusing on increasing the nutritional value and enhancing the health value of food that is perceived by consumers as generally possessing positive health benefits, rather than on food that is perceived by them as possessing negative qualities.Entities:
Keywords: consumer; dairy products; health values
Year: 2021 PMID: 34198901 PMCID: PMC8230071 DOI: 10.3390/nu13061945
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Principal component analysis (PCA) of interest in purchasing the following types of yogurt.
| Item | Factor 1 | Factor 2 | Factor 3 |
|---|---|---|---|
| with added omega-3 fatty acids | 0.743 | ||
| with added coenzyme Q10 | 0.714 | ||
| with added zinc | 0.710 | ||
| with added magnesium | 0.697 | ||
| with added selenium | 0.693 | ||
| with increased levels of certain vitamins and minerals to prevent deficiencies | 0.678 | ||
| with added calcium | 0.625 | ||
| with increased levels of substances with beneficial health effects | 0.621 | ||
| with added fiber | 0.608 | ||
| with information on the packaging, e.g., “High protein content” | 0.581 | ||
| with information on the packaging, e.g., “Sugar-free” | 0.793 | ||
| with a reduced level of fat | 0.743 | ||
| with reduced levels of certain ingredients, e.g., salt or sugar, to prevent various diseases, e.g., obesity, hypertension, and diabetes | 0.686 | ||
| with information on the packaging such as “Helps lower cholesterol” | 0.652 | ||
| with ingredients that may cause allergies removed, e.g., milk and dairy products | 0.514 | ||
| with added food colors | 0.816 | ||
| in which selected ingredients have been replaced with others, e.g., sugar with sweeteners | 0.773 | ||
| with a longer shelf life | 0.731 | ||
| thickened by the addition of various ingredients | 0.710 | ||
| percentage of explained variance (%) | 42.57 | 11.96 | 5.61 |
| Kaiser’s Measure of Sampling Adequacy (MSA): Overall MSA = 0.95 |
Socio-demographic characteristics of the consumers surveyed (N = 983, Poland) (%).
| Variables | % |
|---|---|
| Gender | |
| Female | 51.41 |
| Male | 48.59 |
| Age | |
| 21–27 | 16.30 |
| 28–34 | 15.99 |
| 35–44 | 18.18 |
| 45–54 | 20.06 |
| 55–64 | 18.81 |
| over 64 | 10.66 |
| Education | |
| Primary, lower secondary, vocational | 47.75 |
| Secondary | 37.10 |
| Higher | 15.15 |
| Size of the place of residence | |
| Village | 35.86 |
| Towns up to 20,000 residents | 12.62 |
| Towns over 20,000 residents up to 100,000 residents | 19.87 |
| Cities over 100,000 residents up to 500,000 residents | 20.19 |
| Cities over 500,000 residents | 11.46 |
Variables and their estimation properties used to build the logistic regression model.
| Unadjusted Regression Model 1 | Adjusted Regression Model | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | Level of | β | eβ | 95% Wald CI | β | eβ | 95% Wald CI | ||
| Intercept | −4.751 | <0.0001 | −4.915 | <0.0001 | |||||
| Dairy products with high health values are characterized by a low level of selected ingredients, e.g., salt, sugar, and fat | Yes | 0.521 | 1.68 | (1.09–3.32) | 0.0432 | 0.666 | 1.95 | (1.24–4.06) | 0.0352 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Dairy products with high health benefits have high mineral and vitamin content | Yes | 0.637 | 1.89 | (1.12–3.19) | 0.0169 | 0.627 | 1.87 | (1.08–3.25) | 0.0256 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Dairy products with high health benefits do not contain food colors | Yes | −0.341 | 0.71 | (0.43–0.97) | 0.0453 | -0.275 | 0.76 | (0.44–0.91) | 0.0425 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Acceptance of nutritional improvement of dairy products | Yes | 2.04 | 7.69 | (4.48–13.21) | <0.0001 | 2.139 | 8.5 | (4.75–15.18) | <0.0001 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Dairy products with high nutritional value are rich in fats | Yes | −0.86 | 0.42 | (0.21–0.84) | 0.0144 | −0.974 | 0.38 | (0.18–0.81) | 0.0116 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Dairy products with high nutritional value are rich in protein | Yes | 0.475 | 1.61 | (1.05–2.73) | 0.0381 | 0.499 | 1.65 | (1.09–2.89) | 0.0425 |
| No (ref.) | 0 | 1 | 0 | 1 | |||||
| Importance of increasing mineral content in dairy products | 0.381 | 1.46 | (1.25–1.71) | <0.0001 | 0.403 | 1.5 | (1.26–1.78) | <0.0001 | |
| Increasing | Q2 | 0.529 | 1.70 | (0.81–3.57) | 0.1641 | 0.539 | 1.71 | (0.78–3.75) | 0.1768 |
| Q3 | 1.026 | 2.79 | (1.34–5.83) | 0.0063 | 1.068 | 2.91 | (1.32–6.43) | 0.0083 | |
| Q4 | 1.525 | 4.59 | (2.13–9.91) | 0.0001 | 1.711 | 5.54 | (2.37–12.92) | <0.0001 | |
| Q1 (ref.) | 0 | 1 | 0 | 1 | |||||
| Decreasing | Q2 | 0.637 | 1.89 | (1.09–4.00) | 0.0465 | 0.854 | 2.35 | (1.05–5.27) | 0.0383 |
| Q3 | 0.887 | 2.43 | (1.18–5.00) | 0.0162 | 1.091 | 2.98 | (1.36–6.50) | 0.0061 | |
| Q4 | 1.047 | 2.85 | (1.37–5.92) | 0.005 | 1.249 | 3.49 | (1.58–7.72) | 0.0021 | |
| Q1 (ref.) | 0 | 1 | 0 | 1 | |||||
1 The following study/article focuses on the analysis of information obtained under the unadjusted regression model; eβ (OR)—point estimate; β—estimate; 95% Wald CI—95% Wald confidence interval.