Fragrance lexicon for analysis of consumer-generated perfume reviews in Russian and English
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PROVIDER: S-EPMC10912740 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
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Project description:BackgroundAccording to a national representative survey, 19.9% of the German population describe various adverse effects on personal health upon exposure to fragranced consumer products. This study investigates whether these fragrance-sensitive persons have a higher risk awareness compared to the general public, whether they show a different safety behavior concerning fragrances and whether they reduce exposure and hence risk.ResultsThe presence of fragrances can have a major impact on the participation in public activities. Half of the fragrance-sensitive persons have ever been prevented from going to some place to avoid exposure to fragrances. More than half of them prefer fragrance-free alternatives (products, laundry, hotels, airplanes, health care facilities, or workplaces), while there are also fragrance-sensitive individuals, who indicate to prefer fragranced products and spaces. Half of fragrance-sensitive persons use perfumes to feel themselves more attractive. Furthermore, there is a large number of persons who prefer fragrance-free alternatives without being fragrance-sensitive. Around half of the general population indicate not to use a fragranced product if they know that it emits hazardous air pollutants. This shows that health effects associated with the presence of fragrances proved to be one out of several factors, but not the only one, which influences attitudes towards fragrances and their usage. The answers given reveal the multitude of aspects influencing risk awareness and safety behavior. According to the survey results, 7.4 workdays were lost due to illness from fragranced product exposure in the workplace per person on average, with estimated personal economic costs of 14.5 * 109 Euro/year in Germany.ConclusionsThe high prevalence of persons who correlate their health effects with exposure to fragrances shows that existing risk communication instruments are too weak, even for people who are aware of a risk, like fragrance-sensitive persons. The data substantiate how important it is to respect cognitive dissonance, confirmation bias and the inadequacy of the deficit model in risk management. The issue of adverse health effects associated with fragrances has reached a dimension, which requires immediate action: The results of this study are strong supporting arguments in favor of fragrance-free policies.
| S-EPMC7366882 | biostudies-literature
Project description:BackgroundWikipedia is a popular encyclopedia for health- and disease-related information in which patients seek advice and guidance on the web. Yet, Wikipedia articles can be unsuitable as patient education materials, as investigated in previous studies that analyzed specific diseases or medical topics with a comparatively small sample size. Currently, no data are available on the average readability levels of all disease-related Wikipedia pages for the different localizations of this particular encyclopedia.ObjectiveThis study aimed to analyze disease-related Wikipedia pages written in English, German, and Russian using well-established readability metrics for each language.MethodsWikipedia database snapshots and Wikidata metadata were chosen as resources for data collection. Disease-related articles were retrieved separately for English, German, and Russian starting with the main concept of Human Diseases and Disorders (German: Krankheit; Russian: Заболевания человека). In the case of existence, the corresponding International Classification of Diseases, Tenth Revision (ICD-10), codes were retrieved for each article. Next, the raw texts were extracted and readability metrics were computed.ResultsThe number of articles included in this study for English, German, and Russian Wikipedia was n=6127, n=6024, and n=3314, respectively. Most disease-related articles had a Flesch Reading Ease (FRE) score <50.00, signaling difficult or very difficult educational material (English: 5937/6125, 96.93%; German: 6004/6022, 99.7%; Russian: 2647/3313, 79.9%). In total, 70% (7/10) of the analyzed articles could be assigned an ICD-10 code with certainty (English: 4235/6127, 69.12%; German: 4625/6024, 76.78%; Russian: 2316/3314, 69.89%). For articles with ICD-10 codes, the mean FRE scores were 28.69 (SD 11.00), 20.33 (SD 9.98), and 38.54 (SD 13.51) for English, German, and Russian, respectively. A total of 9 English ICD-10 chapters (11 German and 10 Russian) showed significant differences: chapter F (FRE 23.88, SD 9.95; P<.001), chapter E (FRE 25.14, SD 9.88; P<.001), chapter H (FRE 30.04, SD 10.57; P=.049), chapter I (FRE 30.05, SD 9.07; P=.04), chapter M (FRE 31.17, 11.94; P<.001), chapter T (FRE 32.06, SD 10.51; P=.001), chapter A (FRE 32.63, SD 9.25; P<.001), chapter B (FRE 33.24, SD 9.07; P<.001), and chapter S (FRE 39.02, SD 8.22; P<.001).ConclusionsDisease-related English, German, and Russian Wikipedia articles cannot be recommended as patient education materials because a major fraction is difficult or very difficult to read. The authors of Wikipedia pages should carefully revise existing text materials for readers with a specific interest in a disease or its associated symptoms. Special attention should be given to articles on mental, behavioral, and neurodevelopmental disorders (ICD-10 chapter F) because these articles were most difficult to read in comparison with other ICD-10 chapters. Wikipedia readers should be supported by editors providing a short and easy-to-read summary for each article.
| S-EPMC9152717 | biostudies-literature
Project description:Chronic pain (CP) lasts for more than 3 months, causing prolonged physical and mental burdens to patients. According to the US Centers for Disease Control and Prevention, CP contributes to more than 500 billion US dollars yearly in direct medical cost plus the associated productivity loss. CP is complex in etiology and can occur anywhere in the body, making it difficult to treat and manage. There is a pressing need for research to better summarize the common health issues faced by consumers living with CP and their experience in accessing over-the-counter analgesics or therapeutic devices. Modern online shopping platforms offer a broad array of opportunities for the secondary use of consumer-generated data in CP research. In this study, we performed an exploratory data mining study that analyzed CP-related Amazon product reviews. Our descriptive analyses characterized the review language, the reviewed products, the representative topics, and the network of comorbidities mentioned in the reviews. The results indicated that most of the reviews were concise yet rich in terms of representing the various health issues faced by people with CP. Despite the noise in the online reviews, we see potential in leveraging the data to capture certain consumer-reported outcomes or to identify shortcomings of the available products.
| S-EPMC10165495 | biostudies-literature
Project description:We present a new database of lexical decision times for English words and nonwords, for which two groups of British participants each responded to 14,365 monosyllabic and disyllabic words and the same number of nonwords for a total duration of 16 h (divided over multiple sessions). This database, called the British Lexicon Project (BLP), fills an important gap between the Dutch Lexicon Project (DLP; Keuleers, Diependaele, & Brysbaert, Frontiers in Language Sciences. Psychology, 1, 174, 2010) and the English Lexicon Project (ELP; Balota et al., 2007), because it applies the repeated measures design of the DLP to the English language. The high correlation between the BLP and ELP data indicates that a high percentage of variance in lexical decision data sets is systematic variance, rather than noise, and that the results of megastudies are rather robust with respect to the selection and presentation of the stimuli. Because of its design, the BLP makes the same analyses possible as the DLP, offering researchers with a new interesting data set of word-processing times for mixed effects analyses and mathematical modeling. The BLP data are available at http://crr.ugent.be/blp and as Electronic Supplementary Materials.
| S-EPMC3278621 | biostudies-literature
Project description:Germany introduced prescription-based mobile health (mHealth) apps in October 2020, becoming the first country to offer them fully reimbursed by health insurance. These regulated apps, known as DiGAs, undergo a rigorous approval process similar to pharmaceuticals, including data protection measures and sometimes clinical trials. This study compares the user experience of DiGAs with non-prescription mHealth apps in Germany, analyzing both average app store ratings and written reviews. Our study pioneers the use of BERTopic for sentiment analysis and topic modeling in the mHealth research domain. The dataset comprises 15 DiGAs and 50 comparable apps, totaling 17,588 German-language reviews. Results reveal that DiGAs receive higher contemporary ratings than non-regulated apps (Android: 3.82 vs. 3.77; iOS: 3.78 vs. 3.53; p < 0.01; non-parametric Mann-Whitney-Wilcoxon test). Key factors contributing to positive user experience with DiGAs are customer service and personalization (15%) and ease of use (13%). However, challenges for DiGAs include software bugs (24%) and a cumbersome registration process (20%). Negative user reviews highlight concerns about therapy effectiveness (11%). Excessive pricing is the main concern for the non-regulated group (27%). Data privacy and security receive limited attention from users (DiGAs: 0.5%; comparators: 2%). In conclusion, DiGAs are generally perceived positively based on ratings and sentiment analysis of reviews. However, addressing pricing concerns in the non-regulated mHealth sector is crucial. Integrating user experience evaluation into the review process could improve adherence and health outcomes.
| S-EPMC10285024 | biostudies-literature
Project description:Purpose The goal of this study was to develop and validate a new corpus of sentences without semantic context to facilitate research aimed at isolating the effects of semantic context in speech perception. Method The newly developed corpus contains nonsensical sentences but is matched in vocabulary and syntactic structure to the existing Basic English Lexicon (BEL) corpus. It consists of 20 lists, with each list containing 25 sentences and each sentence having four keywords. Each new list contains the same keywords as the respective list in the original BEL corpus, but the keywords within each list are scrambled across sentences to eliminate semantic context within each sentence, while maintaining the original syntactic structure. All sentences in the original and nonsense BEL corpora were recorded by the same two male and two female talkers. Results Mean intelligibility scores for each list were estimated by calculating the mean proportion of correct keywords achieved by 40 normal-hearing listeners for one male and one female talker. Although small but significant differences were found between some pairs of lists, mean performance for all 20 lists fell within the 95% confidence intervals of the mean. Conclusions Lists in the newly developed nonsense corpus are reasonably well equated for difficulty and can be used interchangeably in a randomized experimental design. Both the original and nonsense BEL sentences, all recorded by the same four talkers, are publicly available. Supplemental Material https://doi.org/10.23641/asha.13022900.
| S-EPMC8582750 | biostudies-literature
Project description:BackgroundThe Institute of Medicine recently recommended that comparative effectiveness research (CER) should involve input from consumers. While systematic reviews are a major component of CER, little is known about consumer involvement.ObjectiveTo explore current approaches to involving consumers in US-based and key international organizations and groups conducting or commissioning systematic reviews ('organizations').DesignIn-depth, semi-structured interviews with key informants and review of organizations' websites.Setting and participantsSeventeen highly regarded US-based and international (Cochrane Collaboration, Campbell Collaboration) organizations.ResultsOrganizations that usually involve consumers (seven of 17 in our sample) involve them at a programmatic level in the organization or in individual reviews through one-time consultation or on-going collaboration. For example, consumers may suggest topics, provide input on the key questions of the review, provide comments on draft protocols and reports, serve as co-authors or on an advisory group. Organizations involve different types of consumers (individual patients, consumer advocates, families and caregivers), recruiting them mainly through patient organizations and consumer networks. Some offer training in research methods, and one developed training for researchers on how to involve consumers. Little formal evaluation of the effects of consumer involvement is being carried out.ConclusionsConsumers are currently involved in systematic reviews in a variety of ways and for various reasons. Assessing which approaches are most effective in achieving different aims of consumer involvement is now required to inform future recommendations on consumer involvement in CER.
| S-EPMC5060681 | biostudies-literature
Project description:This data article presents raw inferential statistical data which determine the use of consumer-generated content for online fashion apparel shopping among young adult consumers in South Africa. The data was gathered from consumers within the Gauteng Province metropolitan area of Johannesburg. Structural equation modelling approach using partial least squares statistical software (Smart PLS) was used to test the posited hypotheses in the conceptual research model. Structured questionnaires were distributed to consumers within the Johannesburg Metropolitan area. This data set show that perceived usefulness, perceived trustworthiness, knowledge and Competence has a major statistical impact on attitude towards the use of consumer generated content. The data also suggested a statistically significant relationship between attitude and intention to use consumer generated content as a source of information for online apparel shopping. In addition, the data showed that the perceived usefulness and trustworthiness had a statically marginal impact on usage intention. The data also shows that the perceived enjoyment of user generated content by users has had a negative and statically insignificant impact on attitude, while attitude has had a positive and significant effect on consumer behavioural intentions.
| S-EPMC7393446 | biostudies-literature
Project description:BackgroundThe delivery of mobile health (mHealth) services is acceptable to mental health consumers. However, despite the benefits of accessibility, cost-effectiveness, anonymity, and ability to tailor content to individual needs, consumer engagement remains a hurdle for uptake and continued use. This may be unsurprising as few studies have examined app content from the consumer perspective or assessed consumer preferences for the content of apps for mental health management. An opportunity to examine consumer perspectives exists in using naturally generated data that is publically available in the Google Play and Apple app stores. Whereas commercial developers routinely use this data, to date there has been no in-depth evaluation within scientific research.ObjectiveThe aim of our study was to explore what consumers consider useful content for mental health management apps, identify unmet needs, and understand user expectations of mental health apps within the context of apps for bipolar disorder.MethodsPublically available English language consumer reviews of 48 apps for bipolar disorder were used as data, providing a total of 2173 reviews. Review text was coded and analyzed using a team approach to qualitative content analysis. Results were presented in 2 forms: (1) a quantitative summary of the 9 major and minor themes and (2) a qualitative synthesis of key thematic findings.ResultsThe majority of reviews were for symptom monitoring apps (87.94%, 1911/2173). The qualitative content analysis revealed 5 main themes: (1) laudatory talk, comments regarding the app's benefits including helpfulness and successful design features (74.00% of reviews, 1608/2173); (2) unfavorable feedback, negative reviews largely concerning unmet needs, privacy and technical issues, and potential dangers of app use (25.54%, 555/2173); (3) conceptions of community, referring to both communities of users with mental ill-health accessed via the app and a community created among app users and developers (24.25%, 527/2173); (4) wishlist features, app features requested by users (17.53%, 381/2173); and (5) apps and therapy, app use within clinical care (10.58%, 230/2173). Four minor themes were also identified: (1) app cost, (2) privacy and data security, (3) comparisons with traditional monitoring, and (4) evidence-based mHealth.ConclusionsAlthough mostly positive, the proportion of reviews containing wishlist requests indicates consumer needs are not adequately addressed by currently available disorder management apps. Consumers value content that is helpful, supportive, and easy to use, and they are integrating apps into their health management and clinical care without necessarily considering the evidence-base or clinical effectiveness of the tool. User expectations regarding developer responsiveness to their needs has implications for community-based participatory research and integrated knowledge translation. However, this expectation is incompatible with current mHealth funding structures.
| S-EPMC5400886 | biostudies-literature
Project description:Many theories of phonology assume that the sound structure of language is made up of distinctive features, but there is considerable debate about how much articulatory detail distinctive features encode in long-term memory. Laryngeal features such as voicing provide a unique window into this question: while many languages have two-way contrasts that can be given a simple binary feature account [±VOICE], the precise articulatory details underlying these contrasts can vary significantly across languages. Here, we investigate a series of two-way voicing contrasts in English, Arabic, and Russian, three languages that implement their voicing contrasts very differently at the articulatory-phonetic level. In three event-related potential experiments contrasting English, Arabic, and Russian fricatives along with Russian stops, we observe a consistent pattern of asymmetric mismatch negativity (MMN) effects that is compatible with an articulatorily abstract and cross-linguistically uniform way of marking two-way voicing contrasts, as opposed to an articulatorily precise and cross-linguistically diverse way of encoding them. Regardless of whether a language is theorized to encode [VOICE] over [SPREAD GLOTTIS], the data is consistent with a universal marking of the [SPREAD GLOTTIS] feature.
| S-EPMC5430061 | biostudies-literature