Author(s): YUN, S., LEE, Y., SEO, Y., LEE, H., JUNG, A.R., LEE, H.R., LEE, D.T., Institution: KOOKMIN UNIV., Country: KOREA, SOUTH, Abstract-ID: 1595

INTRODUCTION:
Body composition monitoring using bioelectrical impedance analysis (BIA) techniques installed in wearable devices became easily and effectively accessible. This research aimed to develop a user derived body composition goal setting and management framework for the Samsung Galaxy Watch BIA function.
METHODS:
Based on data collected from individual body composition measurement, gender (male, female) and body mass index (underweight, normal, overweight) was classified. And the user’s body composition analysis was provided. Users could select goals to change their body composition, if there were any, under 4 categories such as physical component (total body weight, fat mass, or muscle mass), direction of change (to increase, to maintain, or to reduce), challenge level (recommended, hard, or as usual), and management period (2, 4, 6, or 8 weeks). Upon the user’s goal setting, individual physical activity level and dietary adjustment requirements, which were achievable and realistic for the goal, were calculated and provided. For user’s daily energy balance calculation and physical activity recommendation, physical activity compendium and daily step frequency were utilized.
RESULTS:
According to the user’s target physical components and direction of changes, body composition management recommendations were formulated under 11 realistic combinations for body weight, fat, and muscle mass and for changes and maintenance. The recommendation was subdivided for those who challenge at the level of recommendation (±1.1~4 %, ±1.1~6 %, and ±1.1~10 %) or hard (±2.1~5 %, ±3.1~10 %, and ±4.1~15 % changes from the baseline) for underweight, normal and overweight, respectively. Within the recommendations, daily caloric intake control (in ± kcal/day), energy expenditure based on metabolic equivalents (METs), and daily walking steps using a formula of [Steps = {target kcal / (METs * weight in kg * exercise duration in hours)}/{(walking speed in kph * 1000) / step length in m}] were included. To guide physical component of fat and muscle mass changes within the direction of total body weight changes, fat mass equivalent calories; [fat mass in kcal = body weight for change in kg * % contribution of weight change by fat mass * 7,700 kcal], and muscle mass equivalent calories; [muscle mass in kcal = body weight for change in kg * % contribution of weight change by muscle mass * 7,700 kcal] were provided.
CONCLUSION:
Body composition management framework developed from this research will provide user friendly environments and promote practical implication for efficient weight and body composition management. A new advanced body composition information architecture and algorithms can be expected in the field of health management using wearable technology.
Supported by Samsung Electronics (KMU-2024-0010)