This study aimed to identify consumers' preferences and impressions of minimally processed "Gala" cultivar apples, using preference tests and word associations. The study was conducted online via the Google Docs tool and sent out via social networks. The participants were 607 individuals, mostly women, mainly between the ages of 18 and 45, with education up to undergraduate and postgraduate level. As regards the preference for minimally processed apples, the profile of the consumer did not influence the choice. The profiles analyzed were gender and education. For the word association test, 11-word categories were formed, and among these, the most important aspect was appearance, followed by taste and texture, which was confirmed by correspondence analysis. Sample A (0 days-no storage) was the most preferred one, differing significantly from the other samples, whereas sample B (3 days of storage) and sample C (6 days of storage) were associated with characteristics for choice of product. The word association methodology revealed the consumer's impressions of the product, in addition to demonstrating simplicity, low cost, speed, and an exploratory character. PRACTICAL APPLICATION: Gender and level of schooling did not influence the choice of minimally processed apples. Appearance was the most cited word in the word association test. Word association is a simple, fast, inexpensive, and projective technique.
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http://dx.doi.org/10.1111/1750-3841.14779 | DOI Listing |
Digit Health
January 2025
William Allen White School of Journalism and Mass Communications, University of Kansas, Lawrence, KS, USA.
Objective: While endometriosis is estimated to affect 1 in 10 women globally, awareness of the disease as well as research and funding to fight the disease remains lacking as compared with other chronic diseases. This study examines how social media users utilized Instagram to raise awareness of and mobilize activism around endometriosis by analyzing prominent topics, word associations, and feminism themes in endometriosis-tagged posts on Instagram.
Methods: We used a mixed-method approach of combining computational analyses (topic modeling and word association) and human coding (qualitative thematic analysis) of Instagram posts on endometriosis.
Ther Adv Musculoskelet Dis
January 2025
Center for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Hangzhou, Zhejiang 310014, China.
Background: Previous meta-analyses have demonstrated osteoarthritis (OA) is associated with an increased risk of dementia, but these studies were prone to bias based on residual confounding factors and reverse causality.
Objectives: We aimed to investigate associations between OA and cognitive function using data from the National Health and Nutrition Examination Survey (NHANES) and to investigate the causality using Mendelian randomization (MR).
Design: This is a cross-sectional study and MR study.
J Acoust Soc Am
January 2025
Leiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands.
Previous studies suggested that pitch characteristics of lexical tones in Standard Chinese influence various sensory perceptions, but whether they iconically bias emotional experience remained unclear. We analyzed the arousal and valence ratings of bi-syllabic words in two corpora (Study 1) and conducted an affect rating experiment using a carefully designed corpus of bi-syllabic words (Study 2). Two-alternative forced-choice tasks further tested the robustness of lexical tones' affective iconicity in an auditory nonce word context (Study 3).
View Article and Find Full Text PDFGenes Chromosomes Cancer
January 2025
School of Geography and the Environment, University of Oxford, UK.
Given the high lethality of cancer, identifying its risk factors is crucial in both epidemiology and cancer research. This study employs a novel bibliometric analysis method, which uses the tidytext package and tidy tools in R. This approach surpasses traditional tools like VOSviewer, offering more comprehensive and complex keyword data and clearer results compared to Bibliometrix.
View Article and Find Full Text PDFBr J Dev Psychol
January 2025
Texas A & M University, College Station, Texas, USA.
This study investigated the relationships between counting, Rapid Automatized Naming (RAN), and reading and arithmetic abilities in Chinese children at different developmental stages. Study 1 examined 51 kindergarteners (mean age 5.43 years) for character reading accuracy and arithmetic accuracy before formal schooling.
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