A Study on Quality of Life among Working Women with High Blood Pressure
Bibliographic record
Abstract
The quality of life is the general well-being of individuals and societies. It includes not only wealth and employment but also the built environment, physical, and mental health, education, recreation and leisure time, and social belonging. According to WHO Health is “a state of complete physical, mental, and social well-being and not merely an absence of disease and infirmity” (1948). The ultimate goal for the people 2010 decade was to improve the quality of life without any disease and to increase the lifespan with the healthy life. The quality of life is the product of the interplay among social, health, economic and environmental conditions which affect human and social development (Ontario Social Development council, 1997). Illnesses are classified as either acute or chronic. An acute illness lasts for a short period of time and may go away without any intervention the assistance of medication, and or surgery. A chronic illness is an illness that lasts for a very long time and usually cannot be cured completely. Chronic illness has a direct impact on Quality of Life. Chronic illness or condition such as heart decease, high blood pressure, diabetes, obesity are among the most common, costly and preventable of all health problems. The major risk factors for chronic illness are an unhealthy diet, lack of exercise, and tension and habits. Additionally increased Blood pressure and obesity may contribute to chronic illness. Individuals affected by poverty may be more likely to develop a chronic illness since access to health services may be difficult. The main aim of this research paper is to know the Quality of life among working women with High Blood pressure. And the objectives are a) To identify the quality of life of the working women and b) impact on the health and the management of the physical life. Both primary and secondary data are used in this research. 50 respondents from Mangaluru taluk were identified randomly and the Research Design will be Exploratory in nature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".