Genetic tests as the strongest motivator of cooperation between participants and biobanks-Findings from cross-sectional study.

Introduction: The development of the scientific potential linked with biobanking and research on human biological material is highly dependent on the willingness of potential donors to cooperate with entities that collect the material. For this reason, it is crucial to identify the circumstances and factors that may encourage potential participants to donate their biological material. In particular, knowledge of the motivational factors that can be modified by the persons managing a biobank may prove notably important for shaping the organizational and communication policy of the biobank and other scientific institutions. Material and methods: The research was carried out on a group of 1,100 people over 18 years of age representing the adult population of Poland in 2021. Results: More than half of the respondents declared their willingness to donate a blood sample for research purposes to a biobank (57.8%). The most often indicated incentives among the factors supporting the donation of biological material were offers of: obtaining the results of genetic tests predicting the risk of diseases (77.1%), blood tests (71.3%), the possibility of obtaining a small remuneration (64.6%) and the carrying out of genetic ancestry tests (60.4%). Conclusion: Offering the possibility of performing additional diagnostic tests, especially genetic tests, may significantly increase the willingness of potential donors to cooperate with biobanks and other entities collecting human biological material for the purpose of scientific research. However, attention should also be paid to the challenges and risks linked with respecting the privacy and autonomy of research participants.

Effect of Drugs Used in Pharmacotherapy of Type 2 Diabetes on Bone Density and Risk of Bone Fractures.

This review summarizes the complex relationship between medications used to treat type 2 diabetes and bone health. T2DM patients face an increased fracture risk despite higher bone mineral density; thus, we analyzed the impact of key drug classes, including Metformin, Sulphonylureas, SGLT-2 inhibitors, DPP-4 inhibitors, GLP-1 agonists, and Thiazolidinediones. Metformin, despite promising preclinical results, lacks a clear consensus on its role in reducing fracture risk. Sulphonylureas present conflicting data, with potential neutral effects on bone. SGLT-2 inhibitors seem to have a transient impact on serum calcium and phosphorus, but evidence on their fracture association is inconclusive. DPP-4 inhibitors emerge as promising contributors to bone health, and GLP-1 agonists exhibit positive effects on bone metabolism, reducing fracture risk. Thiazolidinediones, however, demonstrate adverse impacts on bone, inducing loss through mesenchymal stem cell effects. Insulin presents a complex relationship with bone health. While it has an anabolic effect on bone mineral density, its role in fracture risk remains inconsistent. In conclusion, a comprehensive understanding of diabetes medications' impact on bone health is crucial. Further research is needed to formulate clear guidelines for managing bone health in diabetic patients, considering individual profiles, glycemic control, and potential medication-related effects on bone.

Chaplains as mediators in conflicts concerning method of patients' medical care-study of the situation in Poland.

BACKGROUND AND AIMS: Health Care Chaplains, whose primary role is to provide spiritual care to patients, their families, and medical staff, are sometimes asked for help in making difficult decisions and resolving conflicts. Their help is justified especially when religious beliefs and values constitute the root of the problem. The study aims to analyze the phenomenon of asking hospital and hospice chaplains in Poland to take on the role of mediators in conflicts concerning methods of patients' medical care. METHODS: A survey was conducted among 108 Catholic chaplains, i.e. at least 10% of all chaplains currently working in Polish hospitals and hospices. The survey was conducted using the electronic questionnaire through an intermediary with no follow-up and so self-selecting. The findings obtained were subjected to statistical analysis. RESULTS: Of all the respondents, 31% admitted having received requests to mediate in a conflict over patient care. Such requests were not conditional upon the type of medical facility, its location, or the chaplain's years of experience. 30% of chaplains receive requests to mediate between patients and doctors. Solving disputes between family members and members of the medical teams are less frequent (25 and 19%, respectively). The majority of the respondents (73%) accept the role of the mediator, although 46% reserve the right to refuse in certain situations. CONCLUSIONS: Asking health care chaplains to become mediators in conflicts over patients' medical care confirms the need to include mediation skills in the course of their education and gaining professional experience.

Perceptions of Own Illness among the Elderly as Measured by the Brief-IPQ Scale and the IPIS.

BACKGROUND: The perception of one's own illness by the elderly significantly affects the success of diagnostic and therapeutic processes. It depends on the patient's existential situation, coping strategies, social support and the way the patient is treated by the medical personnel. The aim of this study was to investigate how the elderly perceive their own illness. METHODS: The study covered 303 people over 60 years of age who were hospitalized in wards of Lublin hospitals. A diagnostic survey method was used in the study. The research tools were: the Illness Perception Questionnaire (Brief-IPQ), Imagination and Perception of Illness Scale (IPIS) and a questionnaire of own authorship. The place of residence in the study population significantly influenced the perception of own illness measured by the Brief-IPQ. RESULTS: The elderly perceived their own illness through the prism of mental and physical destruction. Statistically significant correlations were observed between almost all components of the Brief-IPQ and self-assessed health status of the subjects. CONCLUSIONS: Older people's perception of their own illness is very important in the success of the therapeutic process. The perception of disease is not statistical; it changes depending on the chronicity of the disease, its duration, cultural factors and the doctor-patient relationship. It is associated with biopsychosocial processes that affect the ability to perceive and understand the disease and to take appropriate actions to improve health.

Artificial Intelligence in Nutrients Science Research: A Review.

Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate thought processes, learning abilities and knowledge management, finds more and more applications in experimental and clinical medicine. In recent decades, there has been an expansion of AI applications in biomedical sciences. The possibilities of artificial intelligence in the field of medical diagnostics, risk prediction and support of therapeutic techniques are growing rapidly. The aim of the article is to analyze the current use of AI in nutrients science research. The literature review was conducted in PubMed. A total of 399 records published between 1987 and 2020 were obtained, of which, after analyzing the titles and abstracts, 261 were rejected. In the next stages, the remaining records were analyzed using the full-text versions and, finally, 55 papers were selected. These papers were divided into three areas: AI in biomedical nutrients research (20 studies), AI in clinical nutrients research (22 studies) and AI in nutritional epidemiology (13 studies). It was found that the artificial neural network (ANN) methodology was dominant in the group of research on food composition study and production of nutrients. However, machine learning (ML) algorithms were widely used in studies on the influence of nutrients on the functioning of the human body in health and disease and in studies on the gut microbiota. Deep learning (DL) algorithms prevailed in a group of research works on clinical nutrients intake. The development of dietary systems using AI technology may lead to the creation of a global network that will be able to both actively support and monitor the personalized supply of nutrients.