Psycho-Electrophysiological Benefits of Forest Therapies Focused on Qigong and Walking with Elderly Individuals.
Jiyune YiSeul Gee KimTaegyu KhilMinja ShinJin-Hee YouSookja JeonGue Hong ParkAh Young JeongYoungsuwn LimKahye KimJingun KimByunghoon KangJueun LeeJeong Hwan ParkBoncho KuJungmi ChoiWonseok ChaHwa-Jin LeeChangseob ShinWon Sop ShinJaeuk U KimPublished in: International journal of environmental research and public health (2021)
We developed two distinct forest therapy programs (FTPs) and compared their effects on dementia prevention and related health problems for older adults. One was focused on Qigong practice in the forest (QP) and the other involved active walking in the forest (WP). Both FTPs consisted of twelve 2-h sessions over six weeks and were conducted in an urban forest. We obtained data from 25, 18, and 26 participants aged 65 years or above for the QP, WP, and control groups, respectively. Neuropsychological scores via cognition (MoCA), geriatric depression (GDS) and quality of life (EQ-5D), and electrophysiological variables (electroencephalography, bioimpedance, and heart rate variability) were measured. We analyzed the intervention effects with a generalized linear model. Compared to the control group, the WP group showed benefits in terms of neurocognition (increases in the MoCA score, and alpha and beta band power values in the electroencephalogram), sympathetic nervous activity, and bioimpedance in the lower body. On the other hand, the QP group showed alleviated depression and an increased bioimpedance phase angle in the upper body. In conclusion, both active walking and Qigong in the forest were shown to have distinctive neuropsychological and electrophysiological benefits, and both had beneficial effects in terms of preventing dementia and relieving related health problems for elderly individuals.
Keyphrases
- climate change
- mild cognitive impairment
- heart rate variability
- mental health
- healthcare
- public health
- body composition
- randomized controlled trial
- depressive symptoms
- human health
- middle aged
- physical activity
- primary care
- cognitive impairment
- high resolution
- risk assessment
- stem cells
- machine learning
- health information
- bone marrow
- blood pressure
- big data
- multiple sclerosis
- preterm birth