Abstract
This study aimed to develop a standardized forest-based prenatal care model integrating forest therapy with public health services and to identify key registry variables for sustainable implementation. The model was applied to both socially and economically vulnerable high-risk pregnant women (intervention group) and stable pregnant women (control group), focusing on psychological and physiological indicators. After participation, both groups showed reduced stress and depressive symptoms, as well as improved quality of life. Inflammatory biomarkers, including IL-8 and NF-κB, showed a decreasing trend only in the intervention group. Additionally, sleep-related heart rate variability (RMSSD) remained stable in the control group but fluctuated in the intervention group, suggesting increased physiological and psychological responsiveness. Based on these results, stress, depression, and quality of life were identified as core registry variables, while inflammatory biomarkers and RMSSD were designated as general registry variables. These findings are expected to support future maternal health policies and long-term empirical studies based on forest therapy big data.This study was carried out with the support of the R&D Program for Forest Science Technology (Project No. RS-2024-004004406) provided by the Korea Forest Service (Korea Forestry Promotion Institute).
Presenters
Jooho HwangTeam Manager, Forest Welfare R&D Center, Korea Forest Welfare Institute, Daejeon Gwang'yeogsi [Taejon-Kwangyokshi], South Korea Jeongho Choi
Director, Forest Welfare R&D Center, Korea Forest Welfare Institute, Daejeon Gwang'yeogsi [Taejon-Kwangyokshi], South Korea
Details
Presentation Type
Theme
Health Promotion and Education
KEYWORDS
Sup-Taegyo, Forest Therapy, Registry, Healthcare, Depression
