Search Results (307)

Hydrated cassava starch is widely consumed for its convenience and to appeal to health-conscious individuals, including those with celiac disease, due to its gluten-free nature. However, potential gluten contamination during processing and the lack of specific regulations underscores the need for careful monitoring to ensure safety. Thus, this study aimed to evaluate the presence of gluten in different commercially available hydrated cassava starches and to partially characterize them regarding their physicochemical properties. Thirty-five samples of hydrated cassava starch from local markets in various regions of Brazil were analyzed. The samples underwent partial physicochemical characterization, including pH, moisture content, and particle size distribution. Additionally, gluten presence was assessed using a rapid detection kit. The hydrated cassava starch samples showed a wide pH range (3.4–4.6) and high moisture content (36.0–41.4%), indicating high perishability. Granulometry varied significantly, with samples above 39% moisture forming larger particles which result in irregular texture and inconsistency in tapioca production. Gluten contamination found in 5.71% of the 35 samples presents a risk to gluten-sensitive individuals, underscoring the urgent need for industry and regulatory agencies to implement routine gluten screening. Full article

Escherichia coli (E. coli) remains a major concern in poultry production due to its ability to incite foodborne illness and public health crisis, zoonotic potential, and the increasing prevalence of antibiotic-resistant strains. The contamination of poultry products with pathogenic E. coli, including avian pathogenic E. coli (APEC) and Shiga toxin-producing E. coli (STEC), presents risks at multiple stages of the poultry production cycle. The stages affected by E. coli range from, but are not limited to, the hatcheries to grow-out operations, slaughterhouses, and retail markets. While traditional detection methods such as culture-based assays and polymerase chain reaction (PCR) are well-established for E. coli detection in the food supply chain, their time, cost, and high infrastructure demands limit their suitability for rapid and field-based surveillance—hindering the ability for effective cessation and handling of outbreaks. Biosensors have emerged as powerful diagnostic tools that offer rapid, sensitive, and cost-effective alternatives for E. coli detection across various stages of poultry development and processing where detection is needed. This review examines current biosensor technologies designed to detect bacterial biomarkers, toxins, antibiotic resistance genes, and host immune response indicators for E. coli. Emphasis is placed on field-deployable and point-of-care (POC) platforms capable of integrating into poultry production environments. In addition to enhancing early pathogen detection, biosensors support antimicrobial resistance monitoring, facilitate integration into Hazard Analysis Critical Control Points (HACCP) systems, and align with the One Health framework by improving both animal and public health outcomes. Their strategic implementation in slaughterhouse quality control and marketplace testing can significantly reduce contamination risk and strengthen traceability in the poultry value chain. As biosensor technology continues to evolve, its application in E. coli surveillance is poised to play a transformative role in sustainable poultry production and global food safety. Full article

This paper introduces a methodology for estimating transition intensities in a multi-state model for disability and long-term care insurance. We propose a novel framework that integrates observable risk factors, such as demographic (age and sex), lifestyle (smoking and exercise habits) and health-related variables (body mass index), into the estimation and graduation of transition intensities, using a parametric approach based on the Gompertz–Makeham law and generalised linear models. The model features four states—autonomous, dead, and two intermediate states representing varying disability levels—providing a detailed view of disability/lack of autonomy progression. To illustrate the proposed framework, we simulate a dataset with individual risk profiles and model trajectories, mirroring Portugal’s demographic composition. This allows us to derive a functional form (as a function of age) for the transition intensities, stratified by relevant risk factors, thus enabling precise risk differentiation. The results offer a robust basis for developing tailored pricing structures in the Portuguese market, with broader applications in actuarial science and insurance. By combining granular disability modelling with risk factor integration, our approach enhances accuracy in pricing structure and risk assessment. Full article

Astaxanthin (AST), a ketocarotenoid, is prevalent in aquatic life forms. AST has a variety of health-promoting effects, such as anti-oxidation, anti-cancer, eye protection, anti-inflammatory, immune regulation, skin care, anti-diabetes, neuroprotection, etc. It holds significant potential for applications in healthcare products, food additives, pharmaceuticals, cosmetics, and aquaculture. The production capacity of AST limits its wide application to a certain extent. The instability and safety risks associated with the chemical synthesis of AST have led to increased interest in its biosynthetic pathway. In this paper, the synthesis pathway, biological activity, and application prospects of AST were reviewed. To enhance the market accessibility of AST, investigating innovative synthesis techniques and its emergent biological effects is crucial. Full article

Digital food-ordering apps make it simple to buy indulgent drinks yet hard to judge their health risks. We conducted five online experiments (N = 1048) to compare two messages for sugary beverages: self-promotion that stresses taste and self-disclosure that plainly warns “high sugar/high calories”. Brands that chose self-disclosure were seen as more socially responsible and transparent, which in turn raised trust and lifted purchase intent. These gains were strongest for users who care deeply about the category or the brand and remained robust even among highly health-conscious shoppers. The results show that, for “vice” foods, honest warnings can outperform glossy claims. Our study extends signaling and attribution theories to digital food markets and offers managers a straightforward playbook for complying with new labeling rules while still driving sales. Full article

Health care systems rely on geographical boundaries that secure financial stability and adequate planning. Quality differences across regions often arise for efficiency reasons, causing patient flows if mobility is free. In this paper, a theoretical spatial competition model is developed to study the role of patients’ mobility on quality setting and to draw policy implications on its use as an instrument to reduce disparities, in a setting where regions differ in efficiency, costs, and market structure. From the analysis, it emerges that the institutional setting matters and a trade-off may appear between equity (in terms of quality difference across patients) and welfare (finding an allocation that maximizes social benefits). In a centralized setting, it is optimal to regulate mobility and increase the quality gap, while allowing free mobility calls for a refined quality setting, in which, depending on a balance between costs and benefits, the quality gap may be either increased or decreased. In decentralization the gap is generally lower, compared to centralization: the different consideration of benefits from local quality provision results in higher quality levels where the market structure is vertically integrated. Full article

The study of personalities is a major component of human psychology, and with an understanding of personality traits, practical applications can be used in various domains, such as mental health care, predicting job performance, and optimising marketing strategies. This study explores the prediction of Big Five personality trait scores from online comments using transformer-based language models, focusing on improving the model performance with a larger dataset and investigating the role of intercorrelations among traits. Using the PANDORA dataset from Reddit, the RoBERTa and BERT models, including both the base and large variants, were fine-tuned and evaluated to determine their effectiveness in personality trait prediction. Compared to previous work, our study utilises a significantly larger dataset to enhance the model’s generalisation and robustness. The results indicate that RoBERTa outperforms BERT across most metrics, with RoBERTa large achieving the best overall performance. In addition to evaluating the overall predictive accuracy, this study investigates the impact of intercorrelations among personality traits. A comparative analysis is conducted between a single-model approach, which predicts all five traits simultaneously, and a multiple-model approach, fine-tuning the models independently and each predicting a single trait. The findings reveal that the single-model approach achieves a lower RMSE and higher $R^2$ values, highlighting the importance of incorporating trait intercorrelations in improving the prediction accuracy. Furthermore, RoBERTa large demonstrated a stronger ability to capture these intercorrelations compared to previous studies. These findings emphasise the potential of transformer-based models in personality computing and underscore the importance of leveraging both larger datasets and intercorrelations to enhance predictive performance. Full article

Background/Objectives: Drug shortages are a serious issue affecting health systems worldwide, determined by multiple causes including supply issues, regulatory limitations, and market distortions. The possible repercussions on patients may impair therapeutic efficacy. Despite numerous actions being implemented by regulatory authorities, including market monitoring, export restrictions, and temporary regulation mitigations, few instruments have been made available to help health operators find marketed alternatives to unavailable products. The aim of this work was to create an algorithm to find equivalent or alternative medicinal products available in a certain pharmaceutical market. Algorithm development and validation were performed using the medicinal products marketed in Italy. Methods: First, a newly assembled code, describing the active pharmaceutical ingredient by its Anatomical Therapeutical Chemical (ATC) code, and its dosage form by the European Directorate for the Quality of Medicines & HealthCare (EDQM) Standard Terms, was attributed to each marketed medicinal product. Then, the algorithm was set up to identify its possible equivalents or alternatives by assigning a score quantifying differences in Defined Daily Dose (DDD) per presentation unit and in characterizing Standard Terms. Results: The algorithm was validated on a randomized sample of medicinal products, proving to be able to identify appropriate equivalents or alternatives; moreover, it was tested in real conditions by submitting a survey to health professionals, who found this product to be reliable and useful. Conclusions: The developed algorithm may be employed as a rational tool to help health operators find solutions to drug shortages. This work highlighted some limits of the current ATC attribution that should be addressed by the competent authorities. Full article

Background and Objectives: Osteoporosis is a common chronic condition after menopause that increases the risk of fractures. In South Korea, the prevalence of osteoporosis among adults aged 50 and older is 22.4%, with 94.4% of treated patients being women, highlighting its significant impact on postmenopausal health. In this study, we examine the sales trends of osteoporosis medications in Korea from 2018 to 2023 to understand current usage patterns and market dynamics. Materials and Methods: This study is a retrospective analysis based on pre-recorded sales data from Intercontinental Marketing Services (IMS). Data covering a five-year period (2018–2023) were analyzed to examine the sales trends of osteoporosis medications, including bisphosphonates, selective estrogen receptor modulators (SERMs), parathyroid hormone analogs, denosumab, romosozumab, and others. Romosozumab, approved in November 2019, was included in the analysis. Given the nature of this study, no direct patient data or clinical interventions were involved. Results: The total market size for osteoporosis medications in South Korea reached USD 285.42 million in 2023, reflecting a 15.3% increase from 2022. Bisphosphonates, previously the dominant therapy, experienced an 11% decline in market share over five years. Meanwhile, denosumab, a receptor activator of the nuclear factor-κB ligand inhibitor, showed a remarkable growth rate of 957.6% from 2018 to 2023, surpassing bisphosphonates in their market share. Romosozumab, a newly introduced anabolic agent, accounted for 7.4% of the market, with sales increasing by 59% in 2023. Conclusions: This analysis revealed major shifts in treatment preferences, with newer drugs like denosumab and romosozumab gaining prominence over traditional bisphosphonates. These trends highlight the increasing clinical adoption of anabolic agents for high-risk patients and the impact of expanded reimbursement policies on osteoporosis management. Given the increasing use of advanced therapies, it is essential to monitor treatment access, patient adherence, and long-term clinical outcomes. Understanding these sales trends can aid healthcare professionals and policymakers in optimizing osteoporosis treatment strategies and ensuring better patient care. Full article

N-acetyl para-aminophenol was suggested as a safer alternative to other drugs on the market for pain and fever in 1948. It was given the generic name “acetaminophen” in 1951 and the trade name “Tylenol” when it was put on the market in the USA in 1955 as a prescription drug to treat pediatric fever. It also received the generic name “paracetamol” in the UK where it was initially marketed in 1956 under the name “Panadol.” Toxicity from overdose of acetaminophen was reported in 1966. Research at the US National Institutes of Health uncovered the mechanisms of toxicity and proposed a treatment in a foundational series of papers in 1973 and 1974. A nomogram was developed in 1973 and published in 1975 to guide estimation of patient risk of hepatic toxicity. Rapid development followed utilizing acetylcysteine given both orally and intravenously. Various protocols and methods of administration have been employed over time with the primary use today of acetylcysteine intravenously as the therapeutic method. The nomogram has been revised over time to the current version, published in 2023, which allows stratification of patients to a high-risk group over 300 mg/L at 4 h and standard risk above 150 mg/L at 4 h, except in the UK where the standard risk is defined very conservatively with a line above 100 mg/L at 4 h. Adjunct therapy with fomepizole in patients with massive ingestions, delay until arrival in a health care facility or renal injury has been proposed. The mortality rate with treatment has been substantially reduced and recovery from hepatic injury is achieved in almost all patients. Full article

Background/Objectives: Poland has remained one of the leaders in meat consumption in Europe for years. This study aimed to determine the relationship between Polish consumers’ meat attachment and willingness to change their consumption habits to plant-based foods and meat, using self-assessment, including attitudes toward health, naturalness of food, product novelty, and willingness to seek information about these products. In addition, the relationship between the meat attachment of the surveyed individuals consuming plant-based meat alternatives and their attitudes towards these products was assessed. Methods: A representative survey with 1003 respondents was conducted using the CAWI (computer-assisted web interview) method. Four consumer clusters were identified using the k-means method: Meat lovers, Meat neutral, Meat attached, and Meat opponents. Results: The Meat lovers cluster was characterized by dominant values for entitlement and hedonism and the least willingness to consume plant-based products in the coming year. It was represented by those who care about their health and like product novelty while lacking familiarity with and willingness to try plant-based meat alternatives. The Meat opponents cluster was distinguished by having the highest readiness for eating plant-based products. These individuals valued the naturalness of food, disliked buying new food products, and were familiar with plant-based meat alternatives but consumed them occasionally. Furthermore, cluster membership differed after considering gender, education level, and place of residence. Conclusions: The findings indicate the need for educational and marketing activities to raise awareness of the health and environmental benefits resulting from reducing meat consumption to decrease meat attachment. Full article

The integration of artificial intelligence in interventional radiology is an emerging field with transformative potential, aiming to make a great contribution to the health domain. This overview of reviews seeks to identify prevailing themes, opportunities, challenges, and recommendations related to the process of integration. Utilizing a standardized checklist and quality control procedures, this review examines recent advancements in, and future implications of, this domain. In total, 27 review studies were selected through the systematic process. Based on the overview, the integration of artificial intelligence (AI) in interventional radiology (IR) presents significant opportunities to enhance precision, efficiency, and personalization of procedures. AI automates tasks like catheter manipulation and needle placement, improving accuracy and reducing variability. It also integrates multiple imaging modalities, optimizing treatment planning and outcomes. AI aids intra-procedural guidance with advanced needle tracking and real-time image fusion. Robotics and automation in IR are advancing, though full autonomy in AI-guided systems has not been achieved. Despite these advancements, the integration of AI in IR is complex, involving imaging systems, robotics, and other technologies. This complexity requires a comprehensive certification and integration process. The role of regulatory bodies, scientific societies, and clinicians is essential to address these challenges. Standardized guidelines, clinician education, and careful AI assessment are necessary for safe integration. The future of AI in IR depends on developing standardized guidelines for medical devices and AI applications. Collaboration between certifying bodies, scientific societies, and legislative entities, as seen in the EU AI Act, will be crucial to tackling AI-specific challenges. Focusing on transparency, data governance, human oversight, and post-market monitoring will ensure AI integration in IR proceeds with safeguards, benefiting patient outcomes and advancing the field. Full article

In recent years, an increasing demand for natural products for personal care, cosmetics, supplementation, and the treatment of different conditions has been reported worldwide. At the same time, the global essential oil (EO) market was valued at more than 23 billion per year in the last two years and is expected to grow significantly in the next five years. The purpose of this study was to explore the use of EOs in daily life, including frequency, preferences, and health-related outcomes among Bulgarian adults. The respondents and their responses remained anonymous as the survey was conducted online in January 2025. The study was associated with some important findings: usage of essential oils among Bulgarian adults is widespread (68.7% of the respondents use essential oils); secondly, we found that EO usage had a statistically greater association with younger age, higher education, and female sex. Most of the consumers of EOs did not report any side effects after use. However, 4.0% reported contact dermatitis and allergic reactions after the application of EOs. Most respondents (86.3% of the EO users) believe that repellents based on EOs provide good protection. It was established that Bulgarian adults use EOs for various applications: skin care, general wellness, aromatherapy, and as repellents. Most of the consumers of EOs would recommend EOs to other people. Full article

Background/Objectives: This study examines the transformation of Turkey’s hospital sector from 2002 to 2022, focusing on physical capacity, service utilization, and workforce distribution in the public and private sectors. Methods: Longitudinal data from the Ministry of Health were analyzed using trend and breakpoint methods to evaluate hospital beds, qualified beds, intensive care beds, service volumes (outpatient visits, inpatient admissions, surgeries, and hospitalization days), and staffing (physicians, nurses, and midwives). Results: Findings reveal a marked shift in the balance between public and private providers. Due to public regulations effectively controlling resource allocation, the private sector’s share expanded to around one-fourth of the system. Private capacity in total beds rose from 7.53% to 21.00%, outpatient visits from 4.58% to 15.07%, and inpatient admissions from 10.10% to 30.63%. Breakpoint analyses indicate crucial turning points around 2005, 2008, and 2011, when policy changes restricted public capacity but facilitated private investment. Although the public sector’s share in total beds declined, its proportion of qualified and intensive care beds, as well as dialysis machines, increased, suggesting a strategic shift toward complex, high-quality services. Conclusions: Over the past 20 years, Turkey’s hospital sector exemplifies privatization without ownership transfer. Although delayed, private hospital expansion aligned with global neoliberal trends. Policy regulations played a key role in both promoting and limiting sector growth. A constant conflict exists between market-driven resource allocation and public health needs, which must be considered in restructuring efforts alongside private sector motivations. Full article

Loss of hair density—hair thinning and balding— is typically referred to as male and female pattern alopecia. Causes include genetic predisposition and links to the impact of dihydrotestosterone on the follicle dermal papilla, which are typically characterized by an increase in the number of vellus follicles. Links to chronological aging are unclear. Proven treatments remain few in number and are still targeting and tested on those experiencing classical pattern hair loss. The way hair changes with aging, especially in women, can be considered as having a much broader scope. Trends in managing changes to hair density, length, and fiber quality with aging now mostly include cocktail approaches—whether topical, injected, or oral—recognizing that solutions are more likely to require a multifactorial strategy. This review examines the evidence for the more holistic approach to addressing unwanted hair loss, which includes nutrition, lifestyle, stress management, and scalp and hair care, as well as co-morbidities with other health concerns. We discuss the strengths and limitations of clinical study design to investigate efficacy using multifactorial holistic approaches. We propose that this strategy will contribute to the emerging concept of hair longevity in which follicle, scalp, and fiber are targeted and that maintaining anagen is the most appropriate route to achieving healthy hair with aging. Finally, we discuss the problem facing patients and consumers regarding the quantity of misinformation and how it influences choosing from a fast-growing market of solutions that bypass a pharmaceutical approach to hair thinning. Full article