Frequency of Symptoms and Health Seeking Behaviours of Menopausal Women in an Out-Patient Clinic in Port Harcourt, Nigeria
Bibliographic record
Abstract
OBJECTIVES: This study was carried out to determine the frequency and severity of menopausal symptoms and health seeking behaviour of women with menopausal symptoms attending the General Outpatient Department of the University of Port Harcourt Teaching Hospital. METHODS: This is a cross-sectional, descriptive study in which data was collected from menopausal women using a three-part, pre-tested questionnaire for a period of three months (July-September 2010). Part 1 consisted of information regarding socio-demographic and general medical information. Part 2 consisted of the modified version of the menopause rating scale (MRS). Part 3 sought for information on their health seeking behaviour. Data was analysed using EPI INFO version 6.04d software package. RESULTS: A total of 385 women were recruited with ages ranging from 35 to 95 years, and a mean of 58.4 ± 10.39 years. The most prevalent menopausal symptoms were loss of libido (92.47%), muscle pain (87.53%), joint pain (85.45%) and tiredness (80.26%). Urinary symptoms had the least prevalence (7.79%). Results on the severity of menopausal symptoms showed that 28.25%, 49.84% and 21.9% were experiencing severe, moderate and mild menopausal symptoms, respectively. Loss of libido (79.21 %) was the most severe symptom followed by urinary symptoms (40%). The patent drug dealers were the most consulted (51.4%) followed by health workers (44.7%). The traditional healers were consulted by a small percentage (3.8%). CONCLUSION: The most common menopausal symptom among the patients in this study was loss of libido and the least common was urinary symptoms. The symptoms are similar to findings in other parts of the world but their prevalence and severity differ. In spite of the available health facilities in these communities, the utilization of the services of patent drug dealers is still very high but the traditional healers were poorly utilized.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".