Accurate readability assessment of health related materials is a critical first step in producing easily understandable consumer health information resources and personal health records. Existing general readability formulas may not always be appropriate for the medical/consumer health domain. We developed a new health-specific readability pilot measure, based on the differences in semantic and syntactic features as well as text unit length. The tool was tested with 4 types of materials: consumer health texts, electronic health records, health news articles, and scientific biomedical journals. The results were compared with those produced by three commonly used general readability formulas. While the general formulas underestimated the difficulty of health records by placing them at the same grade levels as consumer health texts, our method rated health records as the most difficult type of documents. Our ratings, however, were highly correlated with general formulas ratings of consumer health, news, and journal articles (r=0.81 approximately 0.85, p<.0001).
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BMC Public Health
January 2025
Department of Nutrition and Dietetics, Kutahya Health Sciences University School of Health Sciences, Kütahya, Turkey.
Background: This study was conducted to identify the impacts of the healthy plate model workshop on 4th-graders nutrition knowledge, behaviors, and habits.
Methods: The study was conducted from March to June 2023 in the Uskudar district of Istanbul, involving 102 children (50% girls) with a mean age of 10.2 ± 0.
Nat Food
January 2025
Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.
The offering of grocery stores is a strong driver of consumer decisions. While highly processed foods such as packaged products, processed meat and sweetened soft drinks have been increasingly associated with unhealthy diets, information on the degree of processing characterizing an item in a store is not straightforward to obtain, limiting the ability of individuals to make informed choices. GroceryDB, a database with over 50,000 food items sold by Walmart, Target and Whole Foods, shows the degree of processing of food items and potential alternatives in the surrounding food environment.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
Key Laboratory of Modern Preparation of TCM,Ministry of Education, Jiangxi University of Chinese Medicine Nanchang 330004, China National Key Laboratory of Creation of Modern Chinese Medicine with Classical Formulas Nanchang 330004, China.
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations.
View Article and Find Full Text PDFNeuroscience
January 2025
Department of Radiation Biology and Toxicology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India. Electronic address:
Lead (Pb) is an environmental toxin ubiquitously present in the human environment due to anthropogenic activities and industrialization. Lead can enter the human body through various sources and pathways, such as inhalation, ingestion and dermal contact, leading to detrimental health effects. The majority of lead that enters the body is removed by urine or feces; however, under chronic exposure conditions, lead is not efficient, as lead is absorbed and transferred to numerous organs, such as the brain, liver, kidney, muscles, and heart, and it is ultimately stored in mineralizing tissues such as bones and teeth.
View Article and Find Full Text PDFChem Biol Interact
January 2025
Department of Community Dental Health, Faculty of Dental Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka.
Betel quid contains two major ingredients; Areca catechu and Piper betel, often consumed with slaked lime, tobacco, certain flavouring agents, colouring agents, herbs, and spices according to personal preferences. The areca nut alkaloids (arecoline, arecaidine, guvacine, and guvacoline), and tobacco alkaloids (nicotine, nor-nicotine) undergo nitrosation during chewing in the oral cavity with the presence of nitrite and thiocyanate and endogenously. Among the nitrosation products generated areca nut-derived nitrosamine (ADNA): 3-(methylnitrosamino) Propionitrile (MNPN) and the two tobacco-specific nitrosamines (TSNAs); N'-nitrosonornicotine (NNN) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone) (NNK) are considered Group 1 human carcinogens.
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