Self-Management Practices among Diabetic Women of Reproductive Age in a Tertiary Hospital, Osun State, Nigeria
Bibliographic record
Abstract
PURPOSE: To investigate self-management practices of diet, exercise, medication, and self-monitoring of blood glucose among diabetic women of reproductive age in OAUTHC. METHODS: This study employed a descriptive design. A total enumeration of 185 diabetic women of reproductive age in a tertiary hospital in Osun state constituted a sample size. A self-structured questionnaire with 40 items under 5 sections and a check list for recording glyceamic control measures were used for data collection. The data retrieved from the respondents were analyzed using the Statistical Package for Social Sciences (SPSS) version 23. Results were presented as frequencies, mean and standard deviation. RESULTS: The findings from the study revealed a moderate level of dietary intake (mean = 2.80), moderate physical exercise (mean = 2.80), moderate medication intake (mean = 2.13) and moderate self-management practices (mean = 2.85) on 5points Likert scale. DISCUSSION: The findings of the study were compared with previous studies and the researchers showed how the relevant theories that guided the study were used to explain the findings. CONCLUSION: It was concluded that most of the women had moderate practice of diet, exercise, medication and self- monitoring of blood glucose as shown in their past medical history.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".