Association between quality of life and severity of menopausal symptoms among Saudi women in Al-Ahsa
Bibliographic record
Abstract
Background and objective: Menopause is not an illness. It is a normal physiologic process at the time that marks the end of the menstrual cycles. The severity, frequency, duration, and impact of these menopausal symptoms vary from woman to woman according to their age, and they affect the overall quality of life. The aim of this study is to verify the severity of menopausal symptoms experienced by Saudi women in Al Ahsa, and to identify the association between the severity of menopausal symptoms and their effects on the quality of life of Saudi women.Methods: An analytical cross- sectional study involved 427 women aged 45-60 years old. They were randomly collected by researchers who interviewed them in outpatient clinics and obstetrics and gynecology wards from 6 hospitals by using the Menopause Rating Scale (MRS) questionnaire and the Menopause Specific Quality of Life (MENQOL) questionnaire between February 15, 2021 and May 15, 2021.Results: The average age of participants was between 45-49. The MRS shows that mild symptoms were found in 47.8% of participants, while severe symptoms were 10.6%. The most common symptoms were physical and somatic. The Menopause Specific Quality of Life shows that 52.2% of the participants suffer from mild bothersome, while 7.5% have extremely bothersome. There was a strong positive association between menopause specific quality of life, and menopausal symptoms.Conclusions: There was a positive correlation between menopausal symptoms and the quality of life of women. Menopausal symptoms have a negative impact on the quality of women's lives. Therefore, the policy makers in the ministry of health could strengthen providing health programmes and health services to women in this age group, besides women in the reproductive age. This can be accomplished by including modules related to the special health needs of menopausal women in the primary center's health programs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".