Exploring the relative importance of the factors associated with menopausal symptoms using a random forest model: a cross-sectional study.
Purpose: This study aimed to identify key factors associated with menopausal symptoms among middle-aged women by examining a comprehensive set of physical, psychological, and lifestyle variables. Methods: A cross-sectional study was conducted with 94 women aged 45 to 55 years in Seoul, South Korea....
| Publicado en: | Women's Health Nursing Vol. 31; no. 3; pp. 227 - 241 |
|---|---|
| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Korean Academy of Women's Health Nursing
Sep2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188465244&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188465244 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 30227666 NRKY jtl: Women's Health Nursing issn: 30227666 maglogo: N pubinfo: dt: Sep2025 vid: 31 iid: 3 pid: 42056 pub: Korean Academy of Women's Health Nursing place: Seoul, <Blank> artinfo: ui: 188465244 188465244 188465244 10.4069/whn.2025.08.12 188465244 ppf: 227 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Exploring the relative importance of the factors associated with menopausal symptoms using a random forest model: a cross-sectional study. aug: au: Meejung Chin Sowon Hahn Yeon Soo Kim Young Hye Kwon Yeon-Hwan Park Younghwan Choi Gahye Kim Youjin Kim Inju Lee Hyun Jeong Yoon Hanjin Bae affil: Department of Child Development and Family Studies, Seoul National University, Seoul, Korea sug: subj: Perimenopausal Symptoms Risk Factors Risk Assessment Life Style Age Factors Psychological Well-Being Loneliness Grip Strength Adipose Tissue Distribution Physical Activity Diet Health Behavior Human South Korea Female Middle Age Cross Sectional Studies Quantitative Studies Correlational Studies Self Report Questionnaires Wearable Sensors Scales Random Forest Symptom Burden Evaluation Prediction Models Predictive Validity Sensitivity and Specificity Socioeconomic Factors Digital Health Machine Learning Exercise Intensity Educational Status Income Sleep Spouses Interpersonal Relations Time Family Vegetables Food Intake Meat Eggs Association (Research) Descriptive Statistics Data Analysis Software Funding Source Middle Aged: 45-64 years Female ab: Purpose: This study aimed to identify key factors associated with menopausal symptoms among middle-aged women by examining a comprehensive set of physical, psychological, and lifestyle variables. Methods: A cross-sectional study was conducted with 94 women aged 45 to 55 years in Seoul, South Korea. Data were collected through physical assessments, self-reported questionnaires, and monitoring using a wearable device (Fitbit Charge 5, Fitbit Inc.). The Menopause Rating Scale was used to assess symptom severity, with scores dichotomized into no/mild symptoms (0-8) and moderate/severe symptoms (9-44). Random forest analysis was applied to evaluate the relative importance of various factors in relation to menopausal symptoms. Results: Fourteen significant predictors were identified from an initial set of 57 variables using recursive feature elimination with cross-validation. The final random forest model achieved balanced predictive performance, with an accuracy of 74.1%, an area under the curve of 75.7%, sensitivity of 78.9%, and specificity of 62.5%. Age emerged as the most influential predictor, followed by psychological well-being and loneliness as the second and third most important factors. Among physical characteristics, relative grip strength (fourth) and body fat percentage (fifth) were significant predictors. Lifestyle factors, including moderate physical activity (sixth) and health-conscious dietary behaviors (seventh), showed moderate importance, while socioeconomic factors demonstrated lower importance. Conclusion: The findings highlight the multifaceted nature of menopausal symptoms and suggest that effective management strategies should incorporate physical, psychological, and lifestyle interventions. These results provide evidence for developing comprehensive digital healthcare applications that incorporate monitoring and intervention features across multiple domains for effective menopausal symptom management. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|