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Development of a Heart Rate Variability Prediction Equation Through Multiple Linear Regression Analysis Using Physical Characteristics and Heart Rate Variables

التفاصيل البيبلوغرافية
العنوان: Development of a Heart Rate Variability Prediction Equation Through Multiple Linear Regression Analysis Using Physical Characteristics and Heart Rate Variables
المؤلفون: Sung-Woo Kim PhD, Hun-Young Park PhD, Hoeryong Jung PhD, Sin-Ae Park PhD, Kiwon Lim PhD
المصدر: Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 60 (2023)
بيانات النشر: SAGE Publishing, 2023.
سنة النشر: 2023
المجموعة: LCC:Public aspects of medicine
مصطلحات موضوعية: Public aspects of medicine, RA1-1270
الوصف: Heart rate variability (HRV) is an effective tool for objectively evaluating physiological stress indices in psychological states. This study aimed to develop multiple linear regression equations to predict HRV variables using physical characteristics, body composition, and heart rate (HR) variables (eg, sex, age, height, weight, body mass index, fat-free mass, percent body fat, resting HR, maximal HR, and HR reserve) in Korean adults. Six hundred eighty adults (male, n = 236, female, n = 444) participated in this study. HRV variable estimation multiple linear regression equations were developed using a stepwise technique. The regression equation’s coefficient of determination for time-domain variables was significantly high (SDNN = adjusted R 2 : 73.6%, P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0046-9580
1945-7243
00469580
Relation: https://doaj.org/toc/0046-9580; https://doaj.org/toc/1945-7243
DOI: 10.1177/00469580231169416
URL الوصول: https://doaj.org/article/e37f15346a99460a94b2f9ea175c536b
رقم الأكسشن: edsdoj.37f15346a99460a94b2f9ea175c536b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:00469580
19457243
DOI:10.1177/00469580231169416