40 research outputs found
Allergic rhinits and its impact on asthma - aria. Control and prevention of respiratory allergies in pharmacy practice
Epidemiological studies on respiratory allergies have shown that allergic rhinitis (AR) and bronchial asthma (BA) often coexist in the same patient. The premise `one respiratory system, one disease` marks a change in diagnostic and therapeutic treatment of respiratory allergies. Allergic Rhinits and Its Impact on Asthma-ARIA Initiative at WHO aims to spread, educate and implement evidence-based management of allergic rhinitis as a risk factor for development of asthma worldwide. This study reviews current concepts and trends in the management of respiratory allergies in compliance with the recommendations of ARIA
Characteristics of Interpersonal Relationships Between Girls Suffering From Love Addiction and Their Fathers
Introduction. The paper (a) examines the characteristics of interpersonal relationships between 16β19-year-old girls suffering from love addiction and their fathers and (b) provides an overview of previous studies on the issue. In the latter, the fatherβs role is recognized to be among its major contributing factors. Empirical data were collected during psychological counseling of young female love addicts. The present study focuses on the nature of interpersonal relationships between daughters suffering from love addiction and their fathers and discusses preventive measures against such dependency in new generations of Russian females.
Methods. These were (a) the Love Addiction Test by A.Β Yu.Β Egorova; (b) the Interpersonal Dependency Inventory by R.Β Hirschfeld; (c) the Teenagers About Parents technique by L.Β I.Β Wasserman, I.Β A.Β Gor'kova, and E.Β E.Β Romitsyna; (d) the Family Sociograms by E.Β G.Β Eidemiller and O.Β V.Β Cheremisin; (e) the technique for assessing father-daughter relationships; (f) the My Relations with Men in the Eyes of Others self-assessment technique. Statistical procedures for data processing included Spearmanβs correlation and MannβWhitney U test.
Results. The study presents the results of comparative analysis of father-daughter relationships in two study groups β young female love addicts and those having no signs of pathological love. The findings suggest that with age interpersonal dependency decreases in girls not suffering from love addiction and increases in young female love addicts
Allergic Rhinitis - Risk Factor for Bronchial Asthma in Children
In recent decades, both worldwide and in our country, there is a noticeable increase in allergic diseases, including those of respiratory system - bronchial asthma and allergic rhinitis. Epidemiological studies show that these conditions often coexist in the same patient. Allergen - specific sensitization is one of the major risk factors for the development of asthma in children. Allergic rhinitis usually precedes asthma. The premise `one respiratory system, one disease` marks a change in diagnostics and therapeutic treatment of respiratory allergies. Currently allergen-specific immunotherapy, administered in the early stage of the disease, is the only treatment that could have disease-modifying effect.The aim of this study is to analyze what proportion of children with asthma suffer from allergic rhinitis and what are the most common therapeutic schemes and practices used in the prophylaxis and treatment of the condition.For this purpose we conducted a survey among parents of children suffering from bronchial asthma on the territory of the city of Varna. Data were processes statistically based on respondent`s answers and were presented graphically. Results confirm that allergic rhinitis is a widespread disease among children with asthma and that is often neglected and not diagnosed and managed in time. Early diagnostics and adequate control of allergic rhinitis is crucial to stop the disease progression to asthma
Quality of Life in Patients with Bronchial Asthma in Childhood
Bronchial asthma is a major cause of morbidity in children in developed countries. In recent years, a large number of epidemiological studies have found an in- creased incidence of childhood asthma which makes this respiratory disorder the most frequent chronic dis- ease in childhood. Many factors are responsible for the huge incidence of asthma: triggering factors from the external environment, the use of inappropriate an- ti-inflammatory medication, lack of assistance with regard to therapeutic regimen, inadequate training of patient (family). The quality of life adolescents suffer- ing of bronchial asthma and their families often is ex- tremely deteriorated. Asthma may limit the ability of children to play, learn and sleep, to lead normal active life. Achieving disease control is the main goal of the treatment conducted. The Global initiative for asthma (GINA) defines control on asthma as minimal chron- ic symptoms, no emergency medical visits, no need of saving medication, normal daily activity, social adap- tation and school attendance.The aim of this study is to analyze the quality of life of children with asthma based on the achieved disease control. To achieve this goal a survey was conducted among parents and children of various ages in the city of Varna. Data from the surveys were processed using mathematical and statistical methods, and the results are presented by graphic images.Results show that in early childhood, when the treatment is performed under the supervision of par- ents, a well-controlled treatment is achieved compared to teenage years.Bronchial asthma is a chronic disease that is best affected in `therapeutic cooperation` between clini- cians, patients and their families. Implementation of training programs for children and parents will im- prove their compliance and execution of their indi- vidual treatment plan, and hence disease control and quality of life of patients
Digital Diplomacy and Big Data: Lessons from the Political Crisis in Venezuela, 2018β2019
Introduction. The article reveals the current U.S. digital diplomacy applying the case study referred to the political crisis in Venezuela culminated in late 2018 and early 2019, when the speaker of the National Assembly Juan Guaido declared himself the self-proclaimed acting president after the elections. Confrontation between his supporters and those of the incumbent President Nicolas Maduro reached its apogee. The aim of the research is to reveal whether the U.S. has been able to influence the development of the political situation and opinion of Venezuelan citizens through various digital diplomacy instruments and international broadcasting channels. The analytical part of the paper is divided into two sections. The first section discusses methodological issues relative to research in the field of digitalization of U.S. foreign policy and international relations in general. These methodological approaches are tested on the case study, namely the U.S. digital diplomacy in Venezuela in the second section of the paper.
Methods. The methodology of the research includes the analysis of big data and social media. The primary sources are the accounts of U.S. officials, government-sponsored media, Venezuelan media, and bloggers. Twitter was surveyed to the extent that active political discussions flared up there during the crisis. At the time, Venezuela had the third highest number of Twitter users in the world.
Analysis. Using the machine analytics, about 10 million tweets were retrieved, allowing us to determine the place of the U.S. governmental accounts among the influencers of public opinion in Venezuela.
Results. The analysis shows that local digital media, and the activity of bloggers and politicians, including Juan Guaido and Nicolas Maduro, had more impact on the Twitter community and Venezuelans than U.S. channels of digital diplomacy or tweets of American politicians. The more active local bloggers are, the less chances were left for external players including the United States as well as Russia, China, or Europe, to change public opinions of Venezuelans.
Authorsβ contribution. Anna Sytnik carried out the big data analysis using Python programming language and developed the methodological foundations of the research. Natalia Tsvetkova developed the methodological foundations of the research and made the interpretations of analysis in terms of U.S. digital and data diplomacy. Ivan Tsvetkov developed the contextual frameworks of the case study. Key words: United States, digital diplomacy, data diplomacy, datafication, Venezuela, Twitter
ΠΡΠ΅Π½ΠΊΠ° Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠ½ΡΠΌ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠΎΠΌ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Π΅ΠΉ
The purpose of the study is to assess the perception of various aspects of digital medicine by the youth segment of consumers, the degree of readiness to consume its services and the level of involvement in this process. The last few years have become a turning point for medicine, if we talk about the number of new directions, emerging techniques and the introduction of digital technologies. Digital medicine uses information and communication technologies to solve health problems of different groups of patients. Its capabilities help doctors and patients to analyze the development of the disease, calculate health risks. The segment of medical gadgets of digital medicine offers consumers a variety of products. Artificial intelligence and wearable devices are becoming common means of organizing the treatment process and monitoring the human condition. Young people, as a rule, more actively perceive any novelties and include Π΅them in their daily life. Is it really so? If we consider Russian young consumers, since foreign experience indicates their rather high interest.Materials and methods of research. The presented study of the perception of the youth audience and readiness to use digital medicine is based on the methodology, proposed by the venture Fund Rock Health, dedicated to digital health. This Fund conducts research, aimed at improving the quality, safety and accessibility of modern medicine. The study is conducted by online survey of consumers who have access to the Internet at home, at work or through cell phones. The questionnaire was adapted for the Russian target audience. The results of the research of the consulting company Accenture, which regularly studies the trends in the consumption of medical technologies with the use of artificial intelligence, robotics and gadgets for self-diagnosis, were used as a factual basis. Data of research of the analytical company CB Insights, forming annual forecasts about the changes in healthcare, and also materials of joint research of the company Econsultancy and the developer of IT technologies for medicine Adobe are considered. The article presents some data of the report of the American company Change Healthcare, which has a strategic partnership with Google Cloud.Results of the research on the one hand, show the high involvement of young people in the field of digital technologies. The survey includes 380 respondents, 89% are smartphone users and 83% regularly visit social networks. However, they are quite wary of digital medicine, requiring the control of personal data. They trust their doctor more than mobile apps and Internet resources; they are reluctant to buy wearables, little understanding of what is telemedicine. They are limited to searching for medical information on the Internet only about services, doctors, medicine and treatment technologies to find out general information.Conclusion. The content analysis shows that digital medicine is becoming a popular trend in the development of modern healthcare. New technologies are being introduced, the key areas of development of which are focused on the Internet of things for medicine (IoT), artificial intelligence, mobile apps, genome editing, telemedicine, blockchain projects and cloud computing. The Russian market is slowly developing. Young consumers are not yet active in the consumption of digital health services and products. The key reasons for this are low awareness of the benefits and concerns about the security of the personal data.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠ½ΡΠΌ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠΎΠΌ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Π΅ΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² digital healthcare ΠΈΠ»ΠΈ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ, ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π³ΠΎΡΠΎΠ²Π½ΠΎΡΡΠΈ ΠΏΠΎΡΡΠ΅Π±Π»ΡΡΡ Π΅Ρ ΡΡΠ»ΡΠ³ΠΈ ΠΈ ΡΡΠΎΠ²Π½Ρ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½ΠΈΡ Π² Π΄Π°Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ. ΠΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ Π»Π΅Ρ ΡΡΠ°Π»ΠΈ ΠΏΠ΅ΡΠ΅Π»ΠΎΠΌΠ½ΡΠΌΠΈ Π΄Π»Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ, Π΅ΡΠ»ΠΈ Π³ΠΎΠ²ΠΎΡΠΈΡΡ ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ Π½ΠΎΠ²ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ, ΠΏΠΎΡΠ²ΠΈΠ²ΡΠΈΡ
ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Π¦ΠΈΡΡΠΎΠ²Π°Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΈ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΡΡΠΎΠ±Ρ ΡΠ΅ΡΠ°ΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΠ΅ΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΠΎΠΌΠΎΠ³Π°ΡΡ Π²ΡΠ°ΡΠ°ΠΌ ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π±ΠΎΠ»Π΅Π·Π½ΠΈ, ΡΠ°ΡΡΡΠΈΡΡΠ²Π°ΡΡ ΡΠΈΡΠΊΠΈ Π΄Π»Ρ Π·Π΄ΠΎΡΠΎΠ²ΡΡ. Π‘Π΅Π³ΠΌΠ΅Π½Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
Π³Π°Π΄ΠΆΠ΅ΡΠΎΠ² ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅Ρ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»ΡΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΎΠ²Π°ΡΡ. ΠΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡ ΠΈ Π½ΠΎΡΠΈΠΌΡΠ΅ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΡΡΠ°Π½ΠΎΠ²ΡΡΡΡ ΠΏΡΠΈΠ²ΡΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ Π»Π΅ΡΠ΅Π±Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΠΎΠ»ΠΎΠ΄Π΅ΠΆΡ, ΠΊΠ°ΠΊ ΠΏΡΠ°Π²ΠΈΠ»ΠΎ, Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΎΡΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅Ρ Π»ΡΠ±ΡΠ΅ Π½ΠΎΠ²ΠΈΠ½ΠΊΠΈ ΠΈ Π²ΠΊΠ»ΡΡΠ°Π΅Ρ Π² ΡΠ²ΠΎΡ ΠΏΠΎΠ²ΡΠ΅Π΄Π½Π΅Π²Π½ΡΡ ΠΆΠΈΠ·Π½Ρ. ΠΠ΅ΠΉΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎ Π»ΠΈ ΡΡΠΎ ΡΠ°ΠΊ, Π΅ΡΠ»ΠΈ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΌΠΎΠ»ΠΎΠ΄ΡΡ
ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Π΅ΠΉ, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΉ ΠΎΠΏΡΡ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΠ΅Ρ ΠΎΠ± ΠΈΡ
Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ Π·Π°ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠ½ΠΎΠΉ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠ΅ΠΉ ΠΈ Π³ΠΎΡΠΎΠ²Π½ΠΎΡΡΠΈ ΠΊ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ Π»Π΅ΠΆΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠΌΡ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ Π²Π΅Π½ΡΡΡΠ½ΡΠΌ ΡΠΎΠ½Π΄ΠΎΠΌ Rock Health. ΠΠ°Π½Π½ΡΠΉ ΡΠΎΠ½Π΄ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π½Π° ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π°, Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΎΠ½Π»Π°ΠΉΠ½-Π°Π½ΠΊΠ΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Π΅ΠΉ, ΠΈΠΌΠ΅ΡΡΠΈΡ
Π΄ΠΎΡΡΡΠΏ ΠΊ ΠΠ½ΡΠ΅ΡΠ½Π΅ΡΡ Π΄ΠΎΠΌΠ°, Π½Π° ΡΠ°Π±ΠΎΡΠ΅ ΠΈΠ»ΠΈ ΡΠ΅ΡΠ΅Π· ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΠ΅ ΡΠ΅Π»Π΅ΡΠΎΠ½Ρ. ΠΠ½ΠΊΠ΅ΡΠ° Π±ΡΠ»Π° Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°Π½Π° Π΄Π»Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠ΅Π»Π΅Π²ΠΎΠΉ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ°ΠΊΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π°Π·Ρ Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ°Π»ΡΠΈΠ½Π³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Accenture, ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΎ ΠΈΠ·ΡΡΠ°ΡΡΠ΅ΠΉ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ°, ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΈ Π³Π°Π΄ΠΆΠ΅ΡΠΎΠ² Π΄Π»Ρ ΡΠ°ΠΌΠΎΠ΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ CB Insights, ΡΠΎΡΠΌΠΈΡΡΡΡΠ΅ΠΉ Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½ΡΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·Ρ ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΡΡΠΈΡ
Π² Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡΡ
, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Econsultancy ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ° IT-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π΄Π»Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ Adobe. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΡΠ΅ΡΠ° Π°ΠΌΠ΅ΡΠΈΠΊΠ°Π½ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Change Healthcare, ΠΈΠΌΠ΅ΡΡΠ΅ΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΠ°ΡΡΠ½Π΅ΡΡΡΠ²ΠΎ Ρ Google Cloud.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π²ΡΡΠΎΠΊΡΡ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½Π½ΠΎΡΡΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ Π² ΡΡΠ΅ΡΡ Π΄ΠΈΠ΄ΠΆΠΈΡΠ°Π» ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. ΠΠ· 380 ΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΠΎΠ² ΠΏΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π°Π²ΡΠΎΡΠΎΠ² ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ 89% ΡΠ²Π»ΡΡΡΡΡ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠΌΠ°ΡΡΡΠΎΠ½ΠΎΠ² ΠΈ 83% ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎ ΠΏΠΎΡΠ΅ΡΠ°ΡΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΡΠ΅ΡΠΈ. Π’Π΅ΠΌ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅, ΠΊ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π΅ ΠΎΡΠ½ΠΎΡΡΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π½Π°ΡΡΠΎΡΠΎΠΆΠ΅Π½Π½ΠΎ, ΡΡΠ΅Π±ΡΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
. ΠΠΎΠ²Π΅ΡΡΡΡ Π±ΠΎΠ»ΡΡΠ΅ ΡΠ²ΠΎΠ΅ΠΌΡ Π»Π΅ΡΠ°ΡΠ΅ΠΌΡ Π²ΡΠ°ΡΡ, ΡΠ΅ΠΌ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΠΌ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡΠΌ ΠΈ ΠΠ½ΡΠ΅ΡΠ½Π΅Ρ-ΡΠ΅ΡΡΡΡΠ°ΠΌ. ΠΠ΅Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°ΡΡ ΡΠΈΡΠ½Π΅Ρ-Π±ΡΠ°ΡΠ»Π΅ΡΡ, Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΏΠΎΠ½ΠΈΠΌΠ°ΡΡ, ΡΡΠΎ ΡΠ°ΠΊΠΎΠ΅ ΡΠ΅Π»Π΅ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π°. ΠΠ³ΡΠ°Π½ΠΈΡΠΈΠ²Π°ΡΡΡΡ ΠΏΠΎΠΈΡΠΊΠΎΠΌ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° Π² ΠΠ½ΡΠ΅ΡΠ½Π΅Ρ ΡΠΎΠ»ΡΠΊΠΎ ΠΎΠ± ΡΡΠ»ΡΠ³Π°Ρ
, Π²ΡΠ°ΡΠ°Ρ
, Π»Π΅ΠΊΠ°ΡΡΡΠ²Π°Ρ
ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΡ
Π»Π΅ΡΠ΅Π½ΠΈΡ, ΠΏΡΠΈΡΠ΅ΠΌ Π±ΠΎΠ»ΡΡΠ΅ ΡΠΏΡΠ°Π²ΠΎΡΠ½ΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ ΠΊΠΎΠ½ΡΠ΅Π½Ρ-Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ ΡΠΈΡΡΠΎΠ²Π°Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ. ΠΠΎΡΡΠΎΡΠ½Π½ΠΎ Π²Π½Π΅Π΄ΡΡΡΡΡΡ Π½ΠΎΠ²ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΊΠΎΡΠΎΡΡΡ
ΡΠΎΡΡΠ΅Π΄ΠΎΡΠΎΡΠ΅Π½Ρ Π½Π° ΠΠ½ΡΠ΅ΡΠ½Π΅ΡΠ΅ Π²Π΅ΡΠ΅ΠΉ Π΄Π»Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ (IoT), ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ΅, ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡΡ
, ΡΠ΅Π΄Π°ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π³Π΅Π½ΠΎΠΌΠ°, ΡΠ΅Π»Π΅ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π΅, Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠΈ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½Π° ΠΈ ΠΎΠ±Π»Π°ΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Π ΠΎΡΡΠΈΠΉΡΠΊΠΈΠΉ ΡΡΠ½ΠΎΠΊ ΡΠ°Π·Π²ΠΈΠ²Π°Π΅ΡΡΡ, Π½ΠΎ ΠΌΠ΅Π΄Π»Π΅Π½Π½Π΅Π΅. ΠΠΎΠ»ΠΎΠ΄ΡΠ΅ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»ΠΈ ΠΏΠΎΠΊΠ° Π½Π΅Π°ΠΊΡΠΈΠ²Π½Ρ Π² ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠΈ ΡΡΠ»ΡΠ³ ΠΈ ΡΠΎΠ²Π°ΡΠΎΠ² ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ. ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΏΡΠΈΡΠΈΠ½Ρ β Π½Π΅Π²ΡΡΠΎΠΊΠ°Ρ ΠΈΠ½ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΡ ΠΎ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π°Ρ
ΠΈ Π±Π΅ΡΠΏΠΎΠΊΠΎΠΉΡΡΠ²ΠΎ ΠΎ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ο»ΏLevel of hypertension treatment adherence during pandemic
Adherence to antihypertensive medications is the cornerstone for achieving metabolic syndrome control. The aim of this study was to explore how the pandemic has affected the adherence of patients with high BP to prescribed antihypertensive drugs. This multicentre observational study utilized self-completed questionnaires among patients between June and November 2020. Overall, 842 patients were included in the study. The likelihood of adherence was assessed using the 5βitem version of the Medication Adherence Report Scale (MARS-5Professor Rob Horne). The average MARS score of the sample was 16.81, the median was 4.162, and the most common value was 3 (24.5% of respondents) for the patients treated during the pandemic. The study suggests that several sociodemographic factors but not the COVID pandemic play a role in treatment adherence
The influence of shift work on metabolic health
Recently, the world literature has been actively discussing the effect of circadian rhythm and sleep disturbances on human metabolic health. One of the most socially significant causes of circadian disorders is the shift work schedule. Shift work schedules began to occur more often due to the high demand for flexibility and labor productivity in modern society. Shift work is characteristic of medical personnel, law enforcement officials, rescue services, transport, the media and others. Shift workers make up about 17% of all workers in Europe. Globally, approximately 2.5 billion people work in shifts. Shift work was identified as an important professional risk. The connection between work with rotation of day and night shifts with overweight and obesity, with circadian rhythms and sleep disorders was proved. The review systematizes information regarding the role of the shift chart in the development of obesity and the metabolic syndrome, and considers mechanisms that mediate its effect on the regulation of energy balance