2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:T6c4,Menopause, marked by hormonal decline and menstrual cessation, is associated with various symptoms. Socio-demographic and behavioural factors may influence symptom type and severity. Understanding these associations can inform better symptom management. To identify factors associated with the presence and severity of menopausal symptoms through systematic review and meta-analysis. We searched Medline, Embase, CINAHL and Cochrane for studies on demographic, behavioural, or health factors linked to vasomotor, vaginal dryness and joint symptoms in women aged 40-60. Studies reporting odds ratios or raw numbers for symptom presence or severity were included. Studies were combined for meta-analysis, reporting odds ratios and 95% confidence intervals. Quality assessment was performed to quantify the risk of bias. Of 9228 screened articles, 61 were meta-analysed. Compared with White women, Black women had higher odds of vasomotor symptom presence (OR 1.65, 1.41-1.94) and severity (OR 1.91, 1.10-3.29), and vaginal dryness presence (OR 1.27, 1.10-1.47), while Asian had lower vasomotor symptom presence and severity (OR 0.40, 0.22-0.72; OR 0.55, 0.53-0.56). Higher education (OR 1.31, 1.09-1.56), high income (OR 1.41, 1.01-1.97) and depression (OR 2.36, 1.51-3.70) were associated with increased presence of vasomotor symptoms. Smoking and obesity were associated with both presence (OR 1.63, 1.30-2.04 and 1.35, 1.02-1.78) and severity (OR 1.56, 1.07-2.27 and 1.42, 1.11-1.83) of vasomotor symptoms. Socio-demographic and behavioural factors, including ethnicity, education, income, smoking, obesity and depression, influence menopausal symptoms, highlighting the need for personalised care. PROSPERO number: CRD42023459154.31:Tbed,ABSTRACT Background Menopause, marked by hormonal decline and menstrual cessation, is associated with various symptoms. Socio‐demographic and behavioural factors may influence symptom type and severity. Understanding these associations can inform better symptom management. Objectives To identify factors associated with the presence and severity of menopausal symptoms through systematic review and meta‐analysis. Search Strategy We searched Medline, Embase, CINAHL and Cochrane for studies on demographic, behavioural, or health factors linked to vasomotor, vaginal dryness and joint symptoms in women aged 40–60. Selection Criteria Studies reporting odds ratios or raw numbers for symptom presence or severity were included. Data Collection and Analysis Studies were combined for meta‐analysis, reporting odds ratios and 95% confidence intervals. Quality assessment was performed to quantify the risk of bias. Results Of 9228 screened articles, 61 were meta‐analysed. Compared with White women, Black women had higher odds of vasomotor symptom presence (OR 1.65, 1.41–1.94) and severity (OR 1.91, 1.10–3.29), and vaginal dryness presence (OR 1.27, 1.10–1.47), while Asian had lower vasomotor symptom presence and severity (OR 0.40, 0.22–0.72; OR 0.55, 0.53–0.56). Higher education (OR 1.31, 1.09–1.56), high income (OR 1.41, 1.01–1.97) and depression (OR 2.36, 1.51–3.70) were associated with increased presence of vasomotor symptoms. Smoking and obesity were associated with both presence (OR 1.63, 1.30–2.04 and 1.35, 1.02–1.78) and severity (OR 1.56, 1.07–2.27 and 1.42, 1.11–1.83) of vasomotor symptoms. Conclusion Socio‐demographic and behavioural factors, including ethnicity, education, income, smoking, obesity and depression, influence menopausal symptoms, highlighting the need for personalised care. Trial Registration PROSPERO number: CRD42023459154 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Menopausal Symptoms: condition Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Menopausal Symptoms (condition). Clinician-written summaries and actionable practice insights. Updated daily.\",\"url\":\"https://www.reachrx.ai/hub/tag/condition/Menopausal%20Symptoms\",\"breadcrumb\":{\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https://www.reachrx.ai\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Research Hub\",\"item\":\"https://www.reachrx.ai/hub\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Conditions\",\"item\":\"https://www.reachrx.ai/hub/tag/condition\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Menopausal Symptoms\",\"item\":\"https://www.reachrx.ai/hub/tag/condition/Menopausal%20Symptoms\"}]}}"}}]],["$","$L2f",null,{"title":"Menopausal Symptoms: Research & Clinical Takeaways","description":"Discover peer-reviewed research on Menopausal Symptoms with concise clinician summaries and next-step guidance.","papers":[{"doi":"10.1007/s00737-026-01718-x","pmid":"42207323","title":"ADHD and the female reproductive stages: menstruation, perinatal and menopause","journal_title":"Archives of Women's Mental Health","journal_issn":"1434-1816","published_at":"2026-05-28T00:00:00.000Z","url":"https://doi.org/10.1007/s00737-026-01718-x","source_score":20,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-02T13:27:21.283Z","updated_at":"2026-06-02T13:27:21.283Z","tags":[{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"condition","value":"Attention-Deficit/Hyperactivity Disorder","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"condition","value":"Menopausal Symptoms","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"condition","value":"Postpartum Depression","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"condition","value":"Premenstrual Dysphoric Disorder","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"condition","value":"Premenstrual Syndrome","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"sample_size","value":"n=602","value_numeric":602},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"sex","value":"female","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"study_design","value":"Cross-Sectional Study","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"warning","value":"ADHD diagnosis relied on self-report plus ASRS screening criteria, not formal clinical diagnosis — prevalence estimates may be inflated by other conditions mimicking ADHD.","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"warning","value":"High rates of comorbid depression, anxiety, and psychotropic medication use in the ADHD group were not fully adjusted for in primary analyses, making it difficult to attribute reproductive symptom burden solely to ADHD.","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"warning","value":"PPD was assessed retrospectively after first birth only, potentially underestimating overall PPD burden.","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"warning","value":"Sample recruited predominantly through ADHD support groups in Ireland; findings may not generalise to other populations or healthcare systems. No data on race, ethnicity, or socioeconomic status were collected.","value_numeric":null},{"paper_doi":"10.1007/s00737-026-01718-x","tag_type":"warning","value":"The peri/post-menopausal subgroups were not age-matched (ADHD group ~3 years younger on average), which may confound climacteric symptom comparisons.","value_numeric":null}],"summaries":{"what_studied":"Cross-sectional study (n=602 Irish females; 377 with self-reported/ASRS-confirmed ADHD, 225 without) comparing menstrual irregularity, premenstrual symptoms (PSST), postpartum depression (EPDS), and menopausal symptoms (GCS) across reproductive stages.","key_result":"Females with ADHD had significantly higher rates of menstrual irregularity (33.4% vs 20.0%; χ²=14.2, p<.001), PMDD (40.3% vs 6.2%), and PPD meeting threshold (88.0% vs 57.1%; χ²=41.2, p<.001). Menopausal symptom total scores were nearly double in the ADHD group (32.1 vs 18.5; t=9.61, p<.001). ADHD symptom severity correlated with premenstrual (r=.69), postpartum (r=.51), and menopausal (r=.64) symptom severity across the whole sample.","limitations":"- ADHD based on self-report and ASRS screening (not formal diagnosis), risking misclassification from other mental health conditions.\n- Retrospective recall of menstrual and perinatal symptoms introduces recall bias.\n- Menopausal subgroup was not age-matched (ADHD group ~3 years younger), and higher medication use in the ADHD group may confound mood and cognitive symptom reports.","practice_takeaway":"Clinicians should routinely screen females with ADHD for premenstrual disorders, postpartum depression, and menopausal distress at each reproductive transition. An ADHD-informed perinatal and climacteric care approach—including pregnancy planning support and close postpartum mood monitoring—may reduce adverse outcomes in this high-risk group."}},{"doi":"10.1111/1471-0528.70257","pmid":"42087841","title":"Factors Associated With Menopause Symptoms: A Systematic Review and Meta‐Analysis","journal_title":"BJOG: An International Journal of Obstetrics & Gynaecology","journal_issn":"1470-0328","published_at":"2026-05-06T00:00:00.000Z","url":"https://doi.org/10.1111/1471-0528.70257","source_score":5,"is_retracted":false,"is_open_access":true,"raw_metadata":{"ooir":{"day":"2026-05-10","doi":"10.1111/1471-0528.70257","days":"7","issn":"1470-0328","rank":"5","field":"Clinical Medicine","score":"5","category":"Obstetrics & Gynecology","categories":["Obstetrics & Gynecology"],"_categories":["Obstetrics & Gynecology"]},"pubmed":{"doi":"10.1111/1471-0528.70257","title":"Factors Associated With Menopause Symptoms: A Systematic Review and Meta-Analysis.","journal":"BJOG : an international journal of obstetrics and gynaecology","methods":"","results":"Of 9228 screened articles, 61 were meta-analysed. Compared with White women, Black women had higher odds of vasomotor symptom presence (OR 1.65, 1.41-1.94) and severity (OR 1.91, 1.10-3.29), and vaginal dryness presence (OR 1.27, 1.10-1.47), while Asian had lower vasomotor symptom presence and severity (OR 0.40, 0.22-0.72; OR 0.55, 0.53-0.56). Higher education (OR 1.31, 1.09-1.56), high income (OR 1.41, 1.01-1.97) and depression (OR 2.36, 1.51-3.70) were associated with increased presence of vasomotor symptoms. Smoking and obesity were associated with both presence (OR 1.63, 1.30-2.04 and 1.35, 1.02-1.78) and severity (OR 1.56, 1.07-2.27 and 1.42, 1.11-1.83) of vasomotor symptoms.","abstract":"$30","keywords":["disparities","menopause","meta‐analysis","symptoms","systematic review"],"pubmed_id":"42087841","conclusions":"Socio-demographic and behavioural factors, including ethnicity, education, income, smoking, obesity and depression, influence menopausal symptoms, highlighting the need for personalised 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Depression carried the strongest association with vasomotor symptom presence (OR 2.36). Smoking and obesity each independently raised odds of both vasomotor symptom presence and severity (smoking: OR 1.63 presence, 1.56 severity; obesity: OR 1.35 presence, 1.42 severity).","limitations":"- Risk of bias across included studies was not fully mitigated, and heterogeneity between study populations likely affects pooled estimates.\n- Data on joint symptoms were insufficient for robust meta-analysis conclusions.\n- Causal direction cannot be established from observational study designs.","practice_takeaway":"Screen menopausal women for depression, smoking, and obesity — all are modifiable factors tied to worse vasomotor symptoms. Tailor counselling to ethnicity and socioeconomic background, as these strongly shape symptom burden and should guide personalised menopause care."}}],"initialOffset":2,"fetchConfig":{"kind":"tags","tags":[{"tag_type":"condition","value":"Menopausal Symptoms"}]},"breadcrumbItems":[{"name":"Home","href":"/"},{"name":"Research Hub","href":"/hub"},{"name":"Conditions","href":"/hub/tag/condition"},{"name":"Menopausal Symptoms"}],"hrefConfig":{"basePath":"/hub/papers","webViewQueryParams":{"hub_ctx":"tag","hub_tag_type":"condition","hub_tag_value":"Menopausal Symptoms"}}}]]

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