| Literature DB >> 35807890 |
Małgorzata Kosicka-Gębska1, Marzena Jeżewska-Zychowicz1, Jerzy Gębski1, Marta Sajdakowska1, Katarzyna Niewiadomska1, Robert Nicewicz1.
Abstract
Fruit and cereal bars are the response to the changing needs of consumers seeking health-promoting and convenient products. A cross-sectional study was conducted using the CAWI (Computer-Assisted Web Interview) method, with 1034 respondents consuming products of this kind. The aims of the study were (1) to identify consumer segments based on the importance they attached to the selected attributes of fruit and cereal bars and (2) to characterize the identified segments in terms of frequency and reasons for the consumption of fruit and cereal bars, views on their impact on health, and consumer behavior related to the selected lifestyle elements. Five distinct consumer clusters were identified. Involved and Health-oriented were more likely to consume bars, perceiving them as nutritious products, with a positive impact on health. Frugal and Visual consumed fruit and cereal bars the least frequently. They paid little attention to choosing healthier products in daily diet and physical activity. The Information seekers consumed bars to reduce stress and to improve their mood.Entities:
Keywords: consumer segmentation; fruit and cereal bars; health threats; lifestyle; sugar
Mesh:
Year: 2022 PMID: 35807890 PMCID: PMC9268435 DOI: 10.3390/nu14132710
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Socio–demographic Characteristics of the study sample.
| Variables | Total Sample | ||
|---|---|---|---|
|
| % | ||
| Total sample | 1034 | 100.0 | |
| Gender | Female | 716 | 69.25 |
| Male | 318 | 30.75 | |
| Age | 18–24 years | 145 | 14.02 |
| 25–39 years | 556 | 53.77 | |
| 40–54 years | 283 | 27.37 | |
| 55–65 years | 50 | 4.84 | |
| Place of residence | Countryside | 185 | 17.89 |
| City up to 100,000 inhabitants | 377 | 36.46 | |
| City with more than 100,000 inhabitants | 472 | 45.65 | |
| Education | Primary | 16 | 1.55 |
| Elementary vocational | 76 | 7.35 | |
| Secondary | 411 | 39.75 | |
| Higher | 531 | 51.35 | |
| Professional situation | I work full time | 689 | 66.63 |
| I have a part-time job | 74 | 7.16 | |
| I neither work nor study | 103 | 9.96 | |
| I learn/study and work at the same time | 34 | 3.29 | |
| I learn/study (and not work) | 55 | 5.32 | |
| I am self-employed | 40 | 3.87 | |
| I am retired | 39 | 3.77 | |
| Income opinion | Is not sufficient at all | 26 | 2.52 |
| Only allows us to meet our basic needs | 127 | 12.28 | |
| We can afford some, but not all expenses | 572 | 55.32 | |
| We can afford everything | 227 | 21.95 | |
| We can afford everything, plus we can save | 82 | 7.93 | |
| BMI categories | Underweight | 58 | 5.61 |
| Normal weight | 586 | 56.67 | |
| Overweight | 284 | 27.47 | |
| Obese | 106 | 10.25 | |
Factor analysis of the choice motives regarding fruit and cereal bars; varimax rotated factor loadings; and percentage of explained variance (n = 1034, Poland).
| Reasons for Choosing Bars | Factor 1 | Factor 2 | Factor 3 | Factor 4 |
|---|---|---|---|---|
| Nutritional value of the product | 0.816 | |||
| Ingredients to enrich the product | 0.803 | |||
| The calorific value of the product | 0.790 | |||
| Quality of the product | 0.644 | |||
| Organic origin of the product | 0.571 | |||
| The appearance of the product | 0.850 | |||
| The appearance of the packaging | 0.829 | |||
| Brand/manufacturer | 0.620 | |||
| Package size | 0.609 | |||
| Advertising | 0.742 | |||
| Friends’ opinion | 0.694 | |||
| It was produced in Poland | 0.519 | |||
| Price | 0.821 | |||
| Promotion | 0.773 | |||
| Flavor | ||||
| Best-before date | ||||
| Variance explained | 33.96% | 10.98% | 10.61% | 7.30% |
| Kaiser’s Measure of Sampling Adequacy: Overall MSA = 0.85 | ||||
Characteristics of the clusters identified according to the motives regarding fruit and cereal bar selection (factors), (mean; standard deviation, n = 1034, Poland).
| Factors/Fruit and Cereal Bar Selection Motives | Total Sample | SD | Cluster 1 Frugal | Cluster 2 Visual | Cluster 3 Information Seekers | Cluster 4 Health-Oriented | Cluster 5 Involved | |
|---|---|---|---|---|---|---|---|---|
| Factor 1—The health-promoting motives | 3.02 | 1.44 | 2.60 c | 2.08 d | 1.79 e | 4.46 a | 4.17 b | <0.0001 |
| Factor 2—The visual motives | 3.07 | 1.42 | 2.46 c | 4.18 b | 2.21 d | 2.35 c,d | 4.58 a | <0.0001 |
| Factor 3—The information motives | 2.98 | 1.38 | 2.25 d | 1.65 e | 4.52 a | 2.59 c | 4.04 b | <0.0001 |
| Factor 4—The financial motives | 3.00 | 1.36 | 4.50 a | 2.08 c | 2.17 c | 2.08 c | 3.98 b | <0.0001 |
a–e Means in the same line with the same letter are not significantly different; one-way ANOVA, p < 0.05.
Socio–demographic characteristics of the study sample according to clusters’ adherence (%, n = 1034, Poland).
| Variables | Total Sample | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 |
|
|---|---|---|---|---|---|---|---|
| Gender | |||||||
| Female | 69.25 | 73.40 | 70.30 | 55.50 | 77.83 | 68.05 | <0.0001 |
| Male | 30.75 | 26.59 | 29.70 | 44.50 | 22.17 | 31.95 | |
| Age | |||||||
| 18–24 years | 14.02 | 22.22 | 16.97 | 12.39 | 8.70 | 8.28 | 0.0011 |
| 25–39 years | 53.77 | 47.62 | 47.88 | 57.8 | 59.13 | 56.21 | |
| 40–54 years | 27.37 | 26.19 | 27.88 | 27.06 | 26.52 | 30.18 | |
| 55–65 years | 4.84 | 3.97 | 7.27 | 2.75 | 5.65 | 5.33 | |
| Place of residence | |||||||
| Countryside | 17.89 | 17.46 | 17.58 | 21.10 | 15.22 | 18.34 | 0.0072 |
| City up to 100,000 inhabitants | 36.46 | 34.52 | 33.33 | 38.53 | 37.39 | 38.46 | |
| City with more than 100,000 inhabitants | 45.65 | 48.02 | 49.09 | 40.37 | 47.39 | 43.20 | |
| Education | |||||||
| Primary | 1.55 | 1.59 | 2.42 | 1.83 | 0 | 2.37 | 0.0011 |
| Vocational | 7.35 | 3.97 | 6.06 | 12.84 | 4.35 | 10.65 | |
| Secondary | 39.75 | 42.46 | 41.82 | 34.86 | 36.52 | 44.38 | |
| Higher | 51.35 | 51.98 | 49.70 | 50.46 | 59.13 | 42.60 | |
| Professional situation | |||||||
| I work full time | 66.63 | 58.73 | 66.06 | 66.51 | 73.48 | 69.82 | 0.0063 |
| I have a part-time job | 7.16 | 6.35 | 4.85 | 8.26 | 6.52 | 10.06 | |
| I neither work nor study | 9.96 | 11.51 | 10.91 | 11.01 | 7.83 | 8.28 | |
| I learn/study and work at the same time | 3.29 | 6.35 | 3.03 | 2.29 | 2.61 | 1.18 | |
| I learn/study (and not work) | 5.32 | 10.32 | 6.06 | 3.21 | 1.74 | 4.73 | |
| I am self-employed, a business owner | 3.87 | 3.97 | 4.24 | 3.67 | 4.78 | 2.37 | |
| I am retired | 3.77 | 2.78 | 4.85 | 5.05 | 3.04 | 3.55 | |
n—numbers of respondents; p-value—Chi-square test.
Frequency of consumption and opinions on the health effects of fruit and cereal bar consumption according to the clusters’ adherence (%, n = 1034, Poland).
| Total Sample | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 |
| |
|---|---|---|---|---|---|---|---|
| Frequency of eating fruit and cereal bars | |||||||
| Each day | 10.64 | 5.16 | 7.27 | 11.47 | 10.87 | 20.71 | <0.0001 |
| 1–2 times a week | 46.91 | 39.29 | 41.82 | 48.62 | 54.78 | 50.30 | <0.0001 |
| Several times a month | 28.81 | 36.11 | 34.55 | 27.52 | 24.78 | 19.52 | <0.0001 |
| Several times a year | 13.64 | 19.44 | 16.36 | 12.39 | 9.57 | 9.47 | <0.0001 |
| Tendency to reduce the consumption of fruit and cereal bars | |||||||
| Yes, I still limit my intake | 6.09 | 6.74 | 5.45 | 7.34 | 4.35 | 6.51 | <0.0001 |
| Yes, but sometimes I give in to cravings | 29.88 | 24.21 | 13.33 | 46.78 | 29.13 | 33.73 | <0.0001 |
| No, but I would like to cut down on my intake | 8.90 | 7.94 | 3.64 | 12.39 | 9.13 | 10.65 | <0.0001 |
| I do not pay attention to it | 55.13 | 61.11 | 77.58 | 33.49 | 57.39 | 49.11 | <0.0001 |
| Opinions on the healthy effect of eating fruit and cereal bars | |||||||
| Negative | 6.29 | 9.92 | 5.45 | 5.05 | 6.09 | 3.55 | <0.0001 |
| Positive | 48.16 | 38.49 | 46.67 | 42.20 | 56.09 | 60.95 | <0.0001 |
| Difficult to say | 45.55 | 51.59 | 47.88 | 52.75 | 38.82 | 35.50 | <0.0001 |
| Opinions on the health consequences of eating fruit and cereals bars | |||||||
| Food allergies | 11.41 | 9.92 | 6.67 | 15.14 | 12.61 | 11.83 | 0.1083 |
| Weight gain | 42.36 | 48.81 | 37.58 | 34.4 | 44.78 | 44.38 | 0.0151 |
| Learning unhealthy eating habits | 21.95 | 24.6 | 17.58 | 23.39 | 19.57 | 23.67 | 0.3799 |
| Tooth decay | 32.59 | 29.37 | 29.09 | 34.86 | 34.35 | 35.5 | 0.4627 |
| Diabetes | 27.47 | 28.97 | 20.61 | 29.36 | 29.57 | 26.63 | 0.2729 |
| Skin problems | 10.44 | 9.92 | 7.27 | 15.60 | 8.70 | 10.06 | 0.0459 |
| Digestive problems | 12.38 | 9.13 | 9.09 | 20.64 | 12.17 | 10.06 | 0.0009 |
| Reasons for the consumption of fruit and cereal bars | |||||||
| Stress | 2.81 | 0.40 | 1.21 | 8.26 | 0.86 | 3.55 | <0.0001 |
| To improve mood | 7.34 | 3.96 | 6.05 | 15.14 | 3.49 | 8.87 | <0.0001 |
| Hunger | 15.86 | 19.84 | 16.37 | 18.81 | 12.17 | 10.65 | <0.0001 |
| Craving something sweet | 37.14 | 42.86 | 50.3 | 28.44 | 32.61 | 33.14 | <0.0001 |
| Want to eat something nutritious | 29.59 | 25.4 | 21.82 | 23.39 | 40.00 | 37.28 | <0.0001 |
| To take care of my health | 6.58 | 6.75 | 3.64 | 5.50 | 10.00 | 5.92 | <0.0001 |
| Other reason | 0.68 | 0.79 | 0.61 | 0.46 | 0.87 | 0.59 | <0.0001 |
Test of independence: Chi2. Statistically significant (p < 0.05); n—number of respondents.
Expected changes in fruit and cereal bars according to the clusters’ adherence (%, n = 1034, Poland).
| Expected Changes | Total Sample | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 |
|
|---|---|---|---|---|---|---|---|
| Enrichment with essential fatty acids (EFAs) | 3.52 | 3.32 c | 3.17 c | 3.17 c | 3.79 b | 4.26 a | <0.0001 |
| Enrichment with vitamins and minerals | 3.97 | 3.90 b | 3.73 c | 3.41 d | 4.36 a | 4.48 a | <0.0001 |
| Reduction of the fat content | 3.90 | 3.94 b | 3.52 c | 3.37 c | 4.27 a | 4.37 a | <0.0001 |
| Reduction of sugar | 4.07 | 4.19 b | 3.71 c | 3.45 d | 4.51 a | 4.45 a | <0.0001 |
| Reduction of salt | 3.89 | 3.88 b | 3.51 c | 3.44 c | 4.28 a | 4.34 a | <0.0001 |
| Reduction of cholesterol | 3.88 | 3.79 c | 3.60 d | 3.51 d | 4.15 b | 4.37 a | <0.0001 |
| Enrichment with protein | 3.71 | 3.67 c | 3.48 d | 3.32 d | 3.89 b | 4.28 a | <0.0001 |
| Removing ingredients that cause allergies and sensitivities | 3.63 | 3.50 c | 3.31 d | 3.25 d | 3.85 b | 4.33 a | <0.0001 |
| Enrichment with fiber | 3.92 | 3.89 c | 3.68 d | 3.36 e | 4.24 b | 4.47 a | <0.0001 |
| Enrichment with omega-3 fatty acids | 3.96 | 3.95 c | 3.71 d | 3.41 e | 4.25 b | 4.53 a | <0.0001 |
| Addition of fruit | 4.05 | 4.18 b | 3.92 c | 3.53 d | 4.18 b | 4.46 a | <0.0001 |
| Addition of vegetables | 3.62 | 3.56 c | 3.29 d | 3.33 d | 3.78 b | 4.16 a | <0.0001 |
| Addition of wheat germ | 3.56 | 3.32 c | 3.30 c | 3.39 c | 3.69 b | 4.16 a | <0.0001 |
| Addition of beta-glucan | 3.18 | 2.87 c | 2.75 c | 3.26 b | 3.23 b | 3.88 a | <0.0001 |
| Addition of chia seed/flaxseed | 3.72 | 3.63 c | 3.39 d | 3.40 d | 3.91 b | 4.35 a | <0.0001 |
| Use of organic ingredients | 3.87 | 3.72 c | 3.59 c,d | 3.42 d | 4.19 b | 4.47 a | <0.0001 |
a–e Means with the same letter are not significantly different; ANOVA with the post-hoc Waller–Duncan K-ratio t-test.
Profile of clusters in terms of lifestyle factors (%, n = 1034, Poland).
| Lifestyle Factors | Total Sample | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 |
|
|---|---|---|---|---|---|---|---|
| Number of meals per day | |||||||
| Fewer than three | 9.86 | 10.32 | 6.96 | 14.22 | 7.27 | 10.06 | 0.0497 |
| Three to Five | 87.14 | 87.7 | 89.13 | 82.57 | 90.31 | 86.39 | |
| Six or more | 3.00 | 1.98 | 3.91 | 3.21 | 2.42 | 3.55 | |
| Group of products consumed most frequently during the day | |||||||
| Cereal products | 24.08 | 28.97 | 24.85 | 18.35 | 26.52 | 20.12 | <0.0001 |
| Vegetables | 20.60 | 18.25 | 11.52 | 20.64 | 26.52 | 24.85 | |
| Fruit | 17.02 | 9.92 | 15.15 | 24.31 | 18.70 | 17.75 | |
| Milk and milk products | 13.83 | 15.08 | 21.21 | 11.93 | 11.30 | 10.65 | |
| Meat and meat products | 21.47 | 22.62 | 23.03 | 22.48 | 16.53 | 23.67 | |
| Sweets | 3.00 | 5.16 | 4.24 | 2.29 | 0.43 | 2.96 | |
| The way you spend your free time | |||||||
| I sit in front of the computer | 13.54 | 13.89 | 15.15 | 15.60 | 9.13 | 14.79 | <0.0001 |
| I watch TV | 16.34 | 11.51 | 16.97 | 27.06 | 13.04 | 13.61 | |
| I read books/newspapers/magazines | 19.44 | 23.81 | 21.82 | 13.30 | 20.44 | 17.16 | |
| I listen to music | 8.23 | 7.14 | 9.08 | 10.55 | 6.09 | 8.88 | |
| I do physical activities | 20.31 | 19.84 | 11.52 | 18.35 | 30.43 | 18.34 | |
| I do household chores (e.g., cleaning, cooking etc.) | 20.21 | 21.03 | 21.82 | 13.76 | 20.44 | 25.44 | |
| I lie down/sleep | 1.93 | 2.78 | 3.64 | 1.38 | 0.43 | 1.78 | |
| Assessment of physical activity during work or school | |||||||
| Low * | 42.55 | 48.81 | 48.48 | 38.99 | 41.30 | 33.73 | 0.0388 |
| Moderate | 43.43 | 38.49 | 35.76 | 48.62 | 45.22 | 49.11 | |
| High | 14.02 | 12.7 | 15.76 | 12.39 | 13.48 | 17.16 | |
| Assessment of leisure-time physical activity | |||||||
| Low ** | 30.07 | 34.13 | 39.39 | 27.98 | 20.87 | 30.18 | 0.0065 |
| Moderate | 56.58 | 50.79 | 51.52 | 58.26 | 63.91 | 57.99 | |
| High | 13.35 | 15.08 | 9.09 | 13.76 | 15.22 | 11.83 | |
| How many hours do you sleep a night? | |||||||
| Less than 5 h | 6.29 | 5.95 | 4.85 | 9.17 | 4.78 | 6.51 | 0.348 |
| 5–6 h | 49.32 | 55.56 | 51.52 | 43.58 | 48.70 | 46.15 | |
| 7–8 h | 37.72 | 32.14 | 35.76 | 40.37 | 41.30 | 39.65 | |
| More than 8 h | 6.67 | 6.35 | 7.88 | 6.88 | 5.22 | 7.69 | |
| Smoking | |||||||
| Yes | 29.79 | 29.13 | 33.94 | 29.36 | 24.21 | 35.5 | 0.0484 |
| No | 70.21 | 70.87 | 66.06 | 70.64 | 75.79 | 64.5 | |
* Low—more than 70% of the time in a sitting position; Moderate—about 50% of the time sitting and about 50% of the time moving; High—about 70% of the time in motion or hard physical work; ** Low—mostly sitting, watching TV, in front of a computer, reading newspapers and books, light housework, walking 1–2 h per week; Moderate—walking, cycling, gymnastics, gardening or other light physical activity 2–3 h per week; High—cycling, running, gardening, allotment work or other sporting recreational activities requiring physical exertion for more than 3 h per week.