Factors Affecting Self-Care Among Hypertensive Older Adults Dwelling in the Community: A Cross-Sectional Study
Bibliographic record
Abstract
Abstract Background: Hypertension is a prevalent health problem in older adults, with better outcomes expected through proper self-care. However, little is known about the effects of cognitive function level on self-care in older adults living in the community. Methods: This cross-sectional study, conducted from October 2019 to January 2020, analyzed the effect of cognitive function on self-care in elderly individuals aged > 65 years with hypertension who visited a local general hospital for the treatment of hypertension. The Korean versions of the Mini-Mental State Examination (K-MMSE) and Montreal Cognitive Assessment (MoCA-K) were used to assess cognitive function. The Hypertension Self-Care Behavior Scale (HBP-SC Behavior Scale) was used to analyze the subjects’ self-care, which was divided into diet behavior and health behavior (except diet). The general characteristics and degrees of self-care of the subjects were analyzed using descriptive statistics, and multiple regression analysis was used to analyze the factors affecting self-care. Results: Factors influencing HBP-SC diet behavior scores were religion (β =.27, SE = 0.69, p =.007) and MoCA-K scores (β =.31, SE = 0.08, p = .002). HBP-SC health behavior (except diet) scores were associated with comorbidities (β = −.20, SE = 0.60, p = .032), and the power of the model was 20%. However, there were no variables that significantly affected the total HBP-SC score, which included the diet behavior and health behavior (except diet) scores. Conclusions: Although there was no significant factor influencing the total HBP-SC score, religion, MoCA-K scores, and comorbidities were factors influencing diet behavior and health behavior (except diet). Therefore, tailored education takes into account religion, MoCA-K domains, and comorbidities is necessary to promote self-care in hypertensive older adults.
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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 | 0.025 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.036 |
| 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; both teacher heads agree on what is shown here.
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".