Evidence map›Paper›PMID 37238759›Full record

ArticleFoods (Basel, Switzerland)2023

Exploring Consumers' Preferences and Attitudes to Honey: Generation Approach in Slovakia.

Peter Šedík, Martina Hudecová, Kristína Predanócyová

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Peter ŠedíkInstitute of Marketing, Trade and Social Studies, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia.ORCID 0000-0003-2495-5162
Martina HudecováInstitute of Marketing, Trade and Social Studies, Faculty of Economics and Management, Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia.ORCID 0000-0002-4797-8458
Kristína PredanócyováAgroBioTech Research Centre, Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia.ORCID 0000-0001-8867-1666

Funding

the Grant Agency of The Slovak University of Agriculture in Nitra 14-GASPU-2021The Ministry of Education, Science, Research, and Sport of the Slovak Republic VEGA No. 1/0415/21
6 · The paper itself

Abstract

Honey is popular among consumers for its composition and healing properties. The aim of the paper is to study the differences in honey preferences across various age generations in Slovakia. The study is based on primary data obtained by conducting an online questionnaire survey on a sample of 1850 Slovak consumers of honey in 2022. Multiple correspondence analyses and non-parametric tests were applied to study the differences in preferences across selected age cohorts (Generation Z, Generation Y, Generation X and Silver Generation). The results show that Silver Generation tends to consume honey due to its nutritional values and prefers to consume monofloral honey of a dark colour, while Generation Z does not use honey in cosmetics or consume it due to its nutritional values and are inclined to prefer polyfloral honey. The utilisation of honey in cosmetics was associated mostly with Generation X. Younger consumers (Generation Z and Generation Y) have a very low awareness of creamed honey and honey with additions in comparison to Silver Generation or Generation X. In addition, the results reveal that propolis, royal jelly and bee pollen were the most attractive additions for honey across all age cohorts in Slovakia, while spirulina and chilli were the least attractive additions.

Indexed as

consumer behaviourgeneration marketinghoney preferences

Identifiers

PMID37238759
PMCPMC10217572

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.