A decision tree analysis on multiple factors related to menopausal symptoms
| Autor: | Eun-Ok Im, Wonshik Chee, Jee-Seon Yi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Mathematics
Decision tree Ethnic group 030209 endocrinology & metabolism Family income Article White People 03 medical and health sciences 0302 clinical medicine Secondary analysis Humans Medicine Country of birth 030219 obstetrics & reproductive medicine Asian business.industry Applied Mathematics Decision Trees Obstetrics and Gynecology Hispanic or Latino United States Multiple factors Women's Health Female Analysis of variance Menopause business Demography |
| Zdroj: | Menopause |
| ISSN: | 1530-0374 |
| DOI: | 10.1097/gme.0000000000001798 |
| Popis: | OBJECTIVES: The purpose of this study was to examine the specific characteristics of midlife women that were directly linked to menopausal symptoms of midlife women from four major racial/ethnic groups in the U.S. using a decision tree analysis. METHODS: This was a secondary analysis of the data from 1,027 midlife women from two larger Internet-based studies. The parent studies used the Midlife Women’s Symptom Index with multiple questions on background characteristics and health and menopausal status. The data were analyzed using ANOVA and decision tree analyses. RESULTS: Across all the racial/ethnic groups, menopausal stage and country of birth were significantly related to the total numbers and total severity scores of menopausal symptoms (p |
| Databáze: | OpenAIRE |
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