First Advisor

William Harry York

Date of Award

Spring 6-16-2024

Document Type

Thesis

Degree Name

Bachelor of Science (B.S.) in Data Science and University Honors

Department

Mathematics and Statistics

Language

English

Subjects

Osteoporosis, Regression, Eugenics, Calcium Supplementation, Bone Mineral Density

DOI

10.15760/honors.1544

Abstract

Osteoporosis is a condition which poses a significant health threat, particularly among women during the menopause transition, where accelerated bone loss increases fracture risk. Calcium supplementation has been shown to be an important intervention to mitigate bone mineral density (BMD) decline during this and other periods of life. However, the efficacy of calcium supplementation is influenced by various individual factors, including demographics and lifestyle habits. This study investigates the interaction between calcium supplement use, and several interaction terms on bone health in women. Multiple linear regression analysis is employed to assess the impact of these factors on BMD. Data from the Study of Women's Health Across the Nation (SWAN) dataset, representing diverse racial/ethnic backgrounds, are utilized. The findings aim to inform personalized strategies for optimizing bone health and preventing osteoporotic fractures in postmenopausal women.

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Persistent Identifier

https://archives.pdx.edu/ds/psu/42144

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