Risk Factors for Postmenopausal Hypertension: a Meta-analysis
Bibliographic record
Abstract
Background Epidemiological studies have demonstrated that the prevalence of hypertension is higher in postmenopausal women than in elderly men. Increasing attention has been paid to postmenopausal hypertension recently, involving its clinical manifestations, pathological features, pathogenesisand treatment. However, due to disparities in study design, sample size and population characteristics, as well as insufficient resources, the research results of risk factors for postmenopausal hypertension are inconsistent and incomprehensive. Objective To perform a systematic review of risk factors for postmenopausal hypertension, so as to provide evidence-based basis for better prevention and management of the disease. Methods From January to May 2022, the databases of CNKI, WanfangData, SinoMed, PubMed, EmBase, the Cochrane Library, and Web of Science were searched for cohort and case-control studies related to risk factors for postmenopausal hypertension from the establishment of the databases to May 20, 2022. Studies were identified using the inclusion and exclusion criteria, then assessed in terms of quality using the Newcastle-Ottawa Scale (NOS) , and those with NOS score≥6 (high quality) were included. RevMan 5.3 was used for meta-analysis. Results Ten high-quality studies were included, 5 of which were cohort studies, and the other 5 were case-control studies. Overall, 16 potential risk factors for postmenopausal hypertension were identified in a total sample size of 34 864. Meta-analysis showed that the risk factors for postmenopausal hypertension included elevated hs-CRP〔RR (95%CI) =1.38 (1.04, 1.83) 〕, older age〔OR (95%CI) =1.39 (1.11, 1.74) 〕, elevated BMI〔OR (95%CI) =1.61 (1.19, 2.18) 〕, elevated total cholesterol〔OR (95%CI) =1.35 (1.14, 1.59) 〕, elevated triglyceride〔OR (95%CI) =2.17 (1.03, 4.59) 〕, history of diabetes〔OR (95%CI) =1.70 (1.27, 2.27) 〕. The risk-reducing factors included high adiponectin〔RR (95%CI) =0.83 (0.70, 0.99) 〕and advanced menopausal age〔OR (95%CI) =0.90 (0.82, 0.98) 〕. Conclusion Older age, high levels of hs-CRP, BMI, total cholesterol, and triglyceride, and diabetes are independent risk factors for postmenopausal hypertension. Thus, controlling some of the above controllable factors may effectively decrease the risk of postmenopausal hypertension.
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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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.069 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".