Heart disease as a permanent problem
Bibliographic record
Abstract
Background. Chronic noncommunicable diseases remain actual for a long time due to their impact on life expectancy and health of the world's population. Heart diseases as representatives of chronic non-infectious diseases are extremely actual. They remain the leading cause of disability and premature death for humankind. The purpose of the study: to analyze the incidence and mortality of the population from heart diseases in certain developed countries of the world, European countries, in particular in Ukraine, the risk factors that cause them, and to determine possible directions of preventive and rehabilitation strategies to improve the epidemic situation in Ukraine. Materials and methods. Data from meta-analyzes and systematic reviews from academic databases; data from state and health care statistics; methods: bibliosemantic, comparative, medical and statistical analysis, generalization. Results. It was found that the number of years lived by mankind with disabilities increased by 4.5% over 10 years due to heart diseases. It is shown that the level of morbidity and mortality is significantly higher in the countries of Central and Eastern Europe, in particular, in Ukraine, in comparison with Sweden, Great Britain, Canada, the USA and Western European countries. It was revealed that the highest levels of mortality caused by risk factors for the population of all these countries and regions are associated with High Blood Pressure, nutrition, High Blood Cholesterol, however, in terms of values, they significantly prevail in the countries of Eastern Europe, in particular, in Ukraine, with an increase over 2009 – 2019 due to High Blood Pressure – from 494.88 to 536.51 per 100 thousand people, nutrition – from 397.29 to 430.66 per 100 thousand people, High Blood Cholesterol – from 345.98 to 373.13 per 100 thousand people. The population and personal strategies for the prevention of heart diseases and rehabilitation of patients depending on the clinical condition in Ukraine have been substantiated. Conclusions. The impact of heart diseases on the population health is constantly increasing. It confirms the permanence of the problem and requires constant attention and effective measures from the governments of countries and health systems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".