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When and How Much? Effects of Calcium Intake on Osteoporosis, Cardiovascular Disease, and Breast Cancer in Women

datacite.available2027-07-01
datacite.rightsembargo
dc.contributor.advisorReichman, Nancy
dc.contributor.authorRaghu, Maiya A.
dc.date.accessioned2025-07-24T15:19:15Z
dc.date.available2025-07-24T15:19:15Z
dc.date.issued2025-04-10
dc.description.abstractThis thesis examines the health and economic implications of calcium intake across the menopausal transition, focusing on three high-cost diseases that disproportionately affect aging women: cardiovascular issues, osteoporosis, and breast cancer. Using longitudinal data from the Study of Women’s Health Across the Nation (SWAN), I estimate individual fixed effects and baseline-adjusted linear probability models to assess how the amount, timing, and source of calcium intake influence disease outcomes. I find that very low calcium intake significantly increases the risk of cardiovascular conditions, especially in peri- and postmenopausal women, while even moderate deficiencies are linked to higher osteoporosis risk over time, with changes manifesting faster than severe deficiencies. High calcium intake may offer protective effects against breast cancer regardless of source. Dietary calcium is generally more beneficial than supplemental forms for heart outcomes and osteoporosis prevention. Findings highlight a promising and low-cost avenue for preventive care, with the potential to reduce future healthcare expenditures and improve population health outcomes for women.
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp013b591c99m
dc.language.isoen_US
dc.titleWhen and How Much? Effects of Calcium Intake on Osteoporosis, Cardiovascular Disease, and Breast Cancer in Women
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
dspace.workflow.startDateTime2025-04-10T19:57:55.445Z
dspace.workflow.startDateTime2025-04-11T01:51:06.177Z
pu.certificateEntrepreneurship
pu.contributor.authorid920285924
pu.date.classyear2025
pu.departmentEconomics
pu.minorBioengineering
pu.minorStatistics and Machine Learning

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