Association Between Lifestyle and Hypertension in Patients Referred to Health Care Centers of Ilam City in 2014
Bibliographic record
Abstract
INTRODUCTION: Lifestyle is referred to an individual's healthy and unhealthy behaviors that can affect their health statues. The present study aim was association between lifestyle and hypertension in patients referred to healthcare centers of Ilam city in 2014. MATERIALS & METHODS: This research study was a case-control study. The data were collected through a standard questionnaire of health-promoting lifestyle profile (HPLPII) as well as the researcher's direct visit to the health care centers in the city of Ilam. After the questionnaires were collected and classified, the data were entered into SPSS software and analyzed by descriptive statistics, chi-square tests, T-Tests and logistic regression. RESULTS: The mean and the standard deviation of the age of the main and the control groups were 57.1 (2.22) and 56.5 (2.99) years old, respectively. 10.9%of the control group and 25.5. % of the cases was smoking cigarettes or hookah. The results of the data analysis showed that the mean scores obtained by the main and the control groups on measures of physical activity, psychological growth, stress and total lifestyleare significantly different, so that the obtained score in the dimensions in patients with hypertension was significantly lower than the score obtained among the healthy individuals. CONCLUSIONS: According to the results it seems that educational interventions in the field of healthy lifestyle for individuals with hypertension risk can have an effect on controlling this disease and reducing its incidence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".