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| # RiskofNeverTakingHRT/Data
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| This page contains the data and calculations for the risks associated with not taking hormone replacement therapy (HRT) during menopause. Data is sourced from peer-reviewed studies and authoritative organizations, with calculations performed using RiskModel formulas.
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| ## Age Risk Factors
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| <datatable2 name="AgeRiskFactors">
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| <head>
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| AgeRange|FractureRiskPer10000|VasomotorSymptomRiskPer100|CardiovascularRiskPer10000
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| Age Range|Fracture Risk (per 10,000 person-years)|Vasomotor Symptom Risk (per 100 women)|Cardiovascular Risk (per 10,000 person-years)
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| </head>
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| 50-59|1413|80|239
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| 60-69|1800|60|300
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| 70+|2200|40|400
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| </datatable2>
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| ### Explanation
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| This table provides baseline risks for osteoporotic fractures, vasomotor symptoms, and cardiovascular disease by age group, based on studies of women not taking HRT. Fracture and cardiovascular risks are reported per 10,000 person-years, while vasomotor symptom risk is per 100 women, reflecting prevalence. Data is drawn from the US Preventive Services Task Force and Women’s Health Initiative studies.
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| - References:
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| - Gartlehner et al., JAMA, 2022.[](https://jamanetwork.com/journals/jama/fullarticle/2797868)
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| - Women’s Health Initiative studies, 2017.[](https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-19089-2)
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| <RiskModel name="FractureRiskModel">
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| Risk = AgeRiskFactors.FractureRiskPer10000 * ExposureDuration.Duration / 10000
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| </RiskModel>
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| <RiskModel name="VasomotorSymptomRiskModel">
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| Risk = AgeRiskFactors.VasomotorSymptomRiskPer100 / 100
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| </RiskModel>
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| <RiskModel name="CardiovascularRiskModel">
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| Risk = AgeRiskFactors.CardiovascularRiskPer10000 * ExposureDuration.Duration / 10000
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| </RiskModel>
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| ## Menopausal Status Factors
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| <datatable2 name="MenopausalStatusFactors">
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| <head>
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| Status|FractureRiskMultiplier|VasomotorSymptomMultiplier|CardiovascularRiskMultiplier
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| Menopausal Status|Fracture Risk Multiplier|Vasomotor Symptom Multiplier|Cardiovascular Risk Multiplier
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| </head>
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| Premenopausal|0.5|0.2|0.8
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| Perimenopausal|0.8|1.5|0.9
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| Postmenopausal|1.0|1.0|1.0
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| </datatable2>
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| ### Explanation
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| This table shows how menopausal status modifies the baseline risks. Premenopausal women have lower risks due to higher natural hormone levels, while perimenopausal women may experience heightened vasomotor symptoms due to hormonal fluctuations. Postmenopausal women are the baseline (multiplier = 1.0). Data is based on clinical trial findings and observational studies.
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| - References:
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| - Barrett-Connor & Stuenkel, International Journal of Epidemiology, 2001.[](https://academic.oup.com/ije/article-abstract/30/3/423/736896)
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| - Zhang et al., PLOS Medicine, 2021.[](https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003731)
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| ## Exposure Duration
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| <datatable2 name="ExposureDuration">
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| <head>
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| Duration|DurationYears
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| Exposure Duration|Duration (Years)
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| </head>
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| 1 year|1
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| 10 years|10
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| 100 years|100
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| </datatable2>
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| ### Explanation
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| This table defines exposure durations for calculating cumulative risk. Options include 1, 10, and 100 years to allow users to estimate risks over different timeframes. These are standard options for risk modeling, with 100 years as a theoretical maximum for lifetime exposure.
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| - References:
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| - Standard risk modeling practice, RiskiPedia guidelines.
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| <RiskModel name="FractureRiskModel">
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| Risk = AgeRiskFactors.FractureRiskPer10000 * ExposureDuration.DurationYears * MenopausalStatusFactors.FractureRiskMultiplier / 10000
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| </RiskModel>
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| <RiskModel name="VasomotorSymptomRiskModel">
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| Risk = AgeRiskFactors.VasomotorSymptomRiskPer100 * MenopausalStatusFactors.VasomotorSymptomMultiplier / 100
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| </RiskModel>
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| <RiskModel name="CardiovascularRiskModel">
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| Risk = AgeRiskFactors.CardiovascularRiskPer10000 * ExposureDuration.DurationYears * MenopausalStatusFactors.CardiovascularRiskMultiplier / 10000
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| </RiskModel>
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| ## Uncertainty Note
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| Risks presented are averages based on population data and may vary by subgroup, geography, or individual circumstances (e.g., lifestyle, genetics). Consult a healthcare provider for personalized advice.
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| Generated by Grok, created by xAI
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