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J. People Plants Environ > Volume 28(2); 2025 > Article
Shin and Choi: Effects of Forest Environment on Peak Cough Flow and Dyspnea in Patients with Neurological Disorders

ABSTRACT

Background and objective: Nervous system diseases leave various disabilities and complications, and the burden on individuals and society continues to increase. In addition, secondary problems occur due to the increased incidence of pneumonia caused by the decline in lung and swallowing functions. To prevent these respiratory complications, swallowing and coughing abilities are evaluated and respiratory physiotherapy is performed. However, most of them are performed indoors, and there are few studies on the effects of respiratory exercise on patients with neurological disorders in forest environments. The purpose of this study was to investigate the effects of 15 minutes of one-time deep breathing exercise and coughing training.
Methods: Peak expiratory flow metering(PFM) was measured to evaluate peak expiratory flow after 15 minutes of one-time deep breathing exercise and coughing training in forest and indoor environments for 15 patients with neurological disorders, and visual analog scales(VAS) were performed to evaluate dyspnea index.
Results: The results of the study showed that 15 minutes of one-time deep breathing exercise and cough training in a forest environment increased peak expiratory flow and reduced dyspnea in patients with neurological disorders compared to 15 minutes of one-time deep breathing exercise and cough training in an indoor environment.
Conclusion: This study suggests that even one-time breathing exercise in a forest environment can have a positive effect on peak expiratory flow and dyspnea index in patients with neurological disorders, and can be helpful in establishing an appropriate treatment plan during treatment.

Introduction

Nervous system disease imposes a great burden on society and individuals and causes various complications. The Neurological disease incidence rate in Korea is estimated to be 92.2 to 232 cases per 100,000 people based on data from the Korea Centers for Disease Control and Prevention and the National Health Insurance Corporation, and 46,496 to 105,000 new cases occur each year (Kim et al., 2019). Neurological disease is the fifth leading cause of death in Korea, and the mortality rate is decreasing, but the prevalence rate is increasing, so the burden continues to increase, and the related medical expenses also increased by more than 700 billion won from 2.3804 trillion won in 2015 to 3.1286 trillion won in 2019(Centers for disease control and prevention, 2022). Most of them remain as aftereffects, causing various neurological disorders, which interfere with daily life and require long-term treatment and nursing (Centers for disease control and prevention, 2024a). This causes economic problems due to the cost of devices and equipment for nursing or other facilities and the cost of nursing (Korean stroke society, 2024). Neurological disease can often cause secondary problems such as bedsores, aspiration pneumonia, joint contractures, fractures, central pain, urinary tract infections, and bowel disorders, and it is important to prevent these (Centers for disease control and prevention, 2024b).
Neurological disease causes a decrease in the patient’s ventilation and swallowing functions, which increases the incidence of pneumonia. Neurological disease damages the corticospinal tract, weakening the respiratory muscles on the opposite side of the damage and reducing chest wall movement (Lee, 2022). Paralysis and weakening of the diaphragm cause the diaphragm to rise more toward the head during rest, unlike normal, and the anterior inferior ribs are pulled inward, causing alveolar hypoventilation (Ellen H, 2017). In a pulmonary function test of 29 stroke patients, forced vital capacity, maximum expiratory pressure and inspiratory pressure, and forced expiratory volume in 1 second showed significant decreases compared to normal predicted values (Jung, 2014).
Among them, the peak cough flow rate reduction is an important indicator of pneumonia and complications. Reduced peak cough flow is caused by decreased inspiratory and expiratory muscle strength, laryngeal closure/opening, airways obstruction, restrictive lung disease, and age/activity (Brennan, 2022). In normal people, a strong cough reflex occurs when aspirated, but stroke patients have neurological damage that causes sensory disturbances in the larynx, which reduces the cough reflex and causes difficulty swallowing (Kulnik et al., 2016). The peak cough flow rate was significantly higher in patients with dysphagia than in the group without pulmonary complications (Bianchi et al., 2012). Therefore, the incidence of aspiration pneumonia in stroke patients was 16.8%, of which 60.7% occurred within 1 month, which was the most common (Seo et al., 1994), and 80% of stroke patients who could not cough developed respiratory infections (Belal et al., 2020). For every 100 liters per minute decrease in peak cough flow, the relative risk of 5-year mortality in the elderly was 1.16, which was a strong independent predictor (Cook et al., 1991). Therefore, prevention of complications, including pneumonia and respiratory failure, was a controllable factor affecting the survival rate and functional disability of stroke patients (Centers for disease control and prevention, 2022).
Patients with neurological disorders require respiratory physiotherapy to prevent survival and functional disability due to decreased peak cough flow. Chest expansion resistance exercise and respiratory muscle stretching applied three times a week for eight weeks in stroke patients increased peak expiratory flow (Lee, 2022). Cough ability was significantly improved in the experimental group that performed respiratory muscle training three times a week for eight weeks (Jo, 2015). When home-based expiratory muscle training was performed 6 times a week for 8 weeks for parkinson’s patients, the increase in voluntary peak cough flow was greater than in the control group (Reyes et al., 2018). This type of respiratory physiotherapy also helps with dyspnea. An exercise program consisting of cycling, strength training, and daily living training was performed once a week for 8 weeks for patients with idiopathic pulmonary fibrosis, and dyspnea was significantly reduced (Rammaert et al., 2011). In patients with pneumothorax who had a chest tube inserted, 30 minutes of deep breathing exercise significantly reduced dyspnea on the fourth day (Kim, 2000). However, it is difficult to do cough training due to the strengthening of infection control in the hospital and concerns about droplets as a route of infection transmission.
As a way to solve these problems, breathing exercises in a forest environment can be an alternative. When examining the effects of the forest environment on the respiratory system, 31 college students who participated in a 2-night, 3-day forest healing program in a national forest park showed improvements in cardiopulmonary health indices, and among them, peak expiratory flow increased (Li et al., 2022). Similarly, peak expiratory flow increased in 37 adults after a 1-day forest walk (Borriello et al., 2022). In Korea, when women over 60 years old were divided into 43 forest walkers and 19 city walkers and had a 30-minute walking activity, there was no significant change in the city walkers, but the forest walkers reported improvements in heart and lung function (Lee and Lee, 2014).
In a hospital setting, swallowing and coughing abilities are assessed and breathing exercises are applied to prevent respiratory complications in stroke patients, but it is difficult to implement due to the indoor environment and wearing a mask. As an alternative, breathing exercises in a forest environment may be helpful. Although general breathing exercises have been shown to improve pulmonary function and peak flow rate (Jo. 2015; Reyes et al., 2018; Lee 2022), studies specifically examining the effects of forest environment on breathing exercise in patients with neurological disorders are extremely limited (Nguyen et al., 2023). Therefore, this study was conducted to find out the changes in peak expiratory flow rate and dyspnea index of subjects when applying a forest environment to prevent complications in patients with neurological disorders, thereby helping to establish an appropriate treatment plan during treatment.

Research Methods

Research subjects

The subjects of the study were 15 patients diagnosed with stroke or Parkinson’s disease at C University Hospital in C City, Chungcheongbuk-do. Participants were selected from patients diagnosed at C University Hospital and referred to the Department of Rehabilitation Medicine who were aware of the purpose of the study and the details of the experiment and agreed to participate in the experiment. The detailed characteristics of the subjects who participated in this study are shown in Table 1. During the research process, the purpose of the study and the details of the experiment were explained to the subjects who participated in the experiment, and consent forms expressing their willingness to participate voluntarily were obtained. This study was approved by the Institutional Review Board of Chungbuk National University Hospital (CBNUH 2024-02-004-001).

Experimental stimulus

This study was a study on the evaluation of peak expiratory flow rate and dyspnea index according to one-time deep breathing exercise and cough training in forest and indoor environments. The experimental stimuli were the forest of sharing and an indoor physical therapy room. Fig. 1 shows an image of the stimulus environment. The forest environment was environment was selected as the Healing Forest, a 350 m long circular path, at C University Hospital located in C city, and the indoor environment was selected as the C University Hospital physical therapy room, which is 65 m2 in size and surrounded by a wall, with a window directly in front of the building. The Healing Forrest is a natural forest dominated by oak trees(Quercus serrata, Quercus Mongoliana, Quercus japonica) with a forest physiognomy height of 20 m or more and a breast height diameter of 25–30 cm.

Experimental method

The subjects who participated in the experiment were asked to do deep breathing exercises and coughing exercises for 15 minutes in a forest and indoor environment. Before participating in the experiment, the subjects wrote a brief explanation of the experiment and a consent from for participation in the experiment. As a pre-evaluation, PFM and VAS were measured in an indoor environment. Then, they were divided into groups A and B using a block random method. Group A took off their masks and did deep breathing exercise for 15 minutes in a healing forest in a forest environment and measured PFM and VAS. In an indoor physical therapy room, they wore masks and did deep breathing exercises and coughing exercises for 15 minutes and measured PFM and VAS. In contrast, group B performed deep breathing exercises and coughing exercises for 15 minutes in an indoor environment. After completing deep breathing exercises and coughing exercises in an indoor environment, the subjects performed deep breathing exercises and coughing exercises for 15 minutes in a forest environment after the same evaluation as Group A, and the same evaluation was repeated. The evaluation index measured after each one-time deep breathing exercises and coughing exercises was used to compare the coughing ability and dyspnea response to the environment presented as a stimulus. The experimental method is expressed pictorially as in Fig. 2. In order to minimize exogenous variables, only one experimental assistant participated in the experimental and measurement locations, and each experimental and measurement location was selected to be on the same height and about 1 minute aprart from each other on the 3rd floor.

Assessment tools

To determine the effect of each environment on peak expiratory flow rate and dyspnea index in patients with neurological disoders, peak expiratory flow rate measurement and visual analog scale evaluation were performed after 15 minutes of deep breathing exercises and coughing training (Fig. 3).

Peak expiratory flow

Peak expiratory flow is measured using a peak flow meter (Peak Flow Meter, Clement Clarke International, England). Before measuring, explain the measurement posture and method to the subject and have them practice sufficiently. In a sitting position, set the scale downward, take a deep breath, and have them put the Peak Flow Meter mouthpiece in their mouth and wrap their lips around it. Blow as hard and fast as possible. Repeat the measurement three times in total, and select the largest value among the reproducible measurements.

Visual analog scale

A visual analog scale was used to measure the degree of dyspnea. This measurement tool was designed to indicate the most severe degree of dyspnea, and ranged from 0 (‘no breath at all’) to 100 mm (‘most breathless’). The subjects drew a horizontal line according to their subjective feelings, and the length (mm) from 0 to the horizontal line was measured. The Questionnaire was filled out after 15 minutes of deep breathing and coughing training in forest and indoor environments.

Data analysis

The data of this study were processed using the statistical program SPSS 21.0(SPSS, IBM Company, USA). The mean (M) and standard deviation (SD) of peak expiratory flow and dyspnea index were calculated after a single breathing exercise in a forest environment and after a single breathing exercise in an indoor environment. A one-way repeated-measures ANOVA was performed to examine the difference by environment, the Bonferroni test was performed as a post hoc test. The statistical significance level was set at p < .05.

Results

This study was conducted to investigate the effects of applying each environment on the changes in peak expiratory flow rate and dyspnea index of stroke patients after 15 minutes of single-time deep breathing exercise and coughing training in a forest environment (healing forest) and an indoor environment (in-hospital physical therapy room) with 15 stroke patients as subjects.

Peak expiratory flow

The mean and standard deviation of peak expiratory flow rates in the forest environment and the indoor environment after 15 minutes of deep breathing exercise and coughing training are shown in Table 2. Peak cough flow rate (PCF) was 252.67 L/min at baseline, 259.33 L/min in the indoor environment after breathing exercise, and 282.67 L/min in the forest environment after breathing exercise. There was a significant difference depending on the environment (p < .001). Bonferroni post hoc analysis results showed that there was a significant difference between the baseline and forest environment (p < .009), and between the indoor environment and forest environment (p < .008).

Visual analog scale

The mean and standard deviation of dyspnea index in the forest environment and the indoor environment after 15 minutes of deep breathing exercise and coughing training are shown in Table 3. Visual analog scale (VAS) was 33.13 mm at baseline, 40.2 mm in the indoor environment after breathing exercise, and 28.73 mm in the forest environment after breathing exercise. There was a significant difference depending on the environment (p < .002), and the Bonferroni post hoc test analysis showed that there was a significant difference between the indoor environment and the forest environment (p < .017).

Discussion

The purpose of this study is to investigate the effects of forest environment application on peak expiratory flow rate and dyspnea index of patients with neurological disorders. To this end, peak expiratory flow rate and dyspnea index were evaluated after 15 minutes of single deep breathing exercise and coughing training in forest environment and indoor environment. Peak flow meter was used to evaluate peak expiratory flow rate, and visual analog scale was implemented to evaluate dyspnea index. In this study, peak expiratory flow rate significantly differed depending on the environment, and Bonferroni post hoc analysis showed that it increased more in the forest environment than in the baseline and indoor environments. Dyspnea index also significantly differed depending on the environment, and Bonferroni post hoc analysis showed that it decreased more in the forest environment than in the indoor environment.
Li et al. (2022) reported that when healthy college students performed three activities of walking therapy, sitting therapy thereafter, and handmade work therapy for 2 nights and 3 days in a national forest park, the peak expiratory flow increased by 0.50 L/min for 2 hours. Borriello et al. (2022) also reported that the peak expiratory flow increased by 0.44L/min after a forest bathing program for normal people. This is consistent with the results of Lee and Lee (2014), who reported that there was no difference in forced expiratory flow in 1 second in the 30-minute urban walking group, but a significant difference in the forest walking group. The application of the forest environment to patients with neurological disorders was consistent with the results of normal people. In contrast, after breathing exercise indoors, there was an increase compared to the pre-value, but there was no significant difference. This was inconsistent with the study by Jo (2015) and Lee (2022). This is thought to be because the breathing exercise was applied three times a week for 8 weeks to patients with neurological disorders, but the present study conducted the experiment through breathing exercise for a single 15-minute period.
Rammaert et al. (2020) reported that dyspnea was reduced by 7mm after applying endurance training using a home bicycle, muscle strength training using resistance, and activity training of daily living for 30 to 45 minutes once a week for 8 weeks to patients with idiopathic pulmonary fibrosis. Kim (2000) reported that dyspnea was reduced by 18.4 mm after performing deep breathing training using vocalization for 30 minutes on patients with pneumothorax who had inserted a chest tube, and that, unlike the control group, it tended to continue to decrease until the 5th day. These results are consistent with the result of a study that showed a 4.4 mm decrease in a forest environment compared to before performing breathing exercise, but did no match the result of 7.07 mm increase in an indoor environment. Antonelli et al. (2021) argued that forest environment exposure and respiratory function can be considered in terms of organic compound inhalation, autonomic nervous system response, and light physical activity. Lee and Lee (2012) reported that inhaling phytoncide, an organic compound emitted from forests, improved the subjects’ autonomic nervous system and reduced stress in 31 subjects. Song et al. (2019) reported that landscape appreciation was related to activating the parasympathetic nervous system and lowering the sympathetic nervous system and heart rate compared to urban landscape appreciation in 65 women, and that the total mood disorder score and state anxiety score were also lower. Lee et al. (2014) reported that after walking in the forest, sympathetic nervous system activity was suppressed and parasympathetic nervous system activity was significantly increased in heart rate variability compared to walking in the city, and in a questionnaire, negative mood was reduced and they felt more comfortable and natural. In contrast, hospitals, which are indoor environments, are thought to have reduced the benefits of respiratory function and felt more dyspnea due to reasons such as the recommendation to wear masks due to concerns about infection, anxiety about isolation due to infectious diseases (Moon and Lim, 2023), and patients with acute neurological at high risk of falls (Kim et al. 2013).
Therefore, when performing breathing exercises to improve coughing ability in patients with neurological disorders, it is suggested to perform them in an outdoor forest environment rather than an indoor hospital environment, as this may have a more immediate effect and may cause less dyspnea.
The limitations of this study are as follows: First, the number of subjects was small, making it difficult to interpret and generalize the results. The experiment was conducted on some patients with neurological disorders, so variables such as disease severity could not be controlled. Second, changes in weather conditions according to each environment could not be controlled, so there were differences in temperature and humidity in the forest environment. It is difficult to make an accurate comparison because variables according to weather conditions could not be controlled. Third, the experiment was conducted as a one-time breathing exercise, not as a long-term exercise program. Therefore, future research is need to investigate the effects of a long-term breathing exercise program on the respiratory function of patients with neurological disorders by considering weather conditions and targeting a larger number of subjects.

Conclusion

The purpose of this study was to investigate the effects of 15 minutes of one-time deep breathing exercise and coughing training on coughing ability and dyspnea index in forest and indoor environments for patients with neurological disorders. PFM was measured to evaluate peak expiratory flow after 15 minutes of one-time deep breathing exercise and coughing training in forest and indoor environments for 15 patients with neurological disorders, and VAS were performed to evaluate dyspnea index. The results of the study showed that 15 minutes of one-time deep breathing exercise and cough training in a forest environment increased peak expiratory flow and reduced dyspnea in patients with neurological disorders compared to 15 minutes of one-time deep breathing exercise and cough training in an indoor environment. Therefore, this study suggests that even one-time breathing exercise in a forest environment can have a positive effect on peak expiratory flow and dyspnea index in patients with neurological disorders, and can be helpful in establishing an appropriate treatment plan.

Fig. 1
Experimental stimuli (A; forest environment, B; indoor environment).
ksppe-2025-28-2-209f1.jpg
Fig. 2
Experimental stimuli (A; forest environment, B; indoor environment).
ksppe-2025-28-2-209f2.jpg
Fig. 3
Assessment tools (A; peak expiratory flow, B; visual analog scale).
ksppe-2025-28-2-209f3.jpg
Table 1
Characteristics of subjects
Subject (n) 15
Male/Female 11/4
Age(year) 66.33±14.95
Height(cm) 164.65±9.4
Weight(kg) 61.15±15.11
Diagnosis(Stroke/Parkinson’s disease) 10/5
Table 2
Measuring peak flow meter
Variable Condition Average Standard deviation Type III sum of squares Df Mean square F value p-value Post-Hoc
PCF (L/min) Baselinea 252.67 133.923 7444.444 2 3722.222 8.967 0.001*** c > b = a
Indoorb 259.33 127.865
Forestc 282.67 137.294

Note.

*** p < .001.

PCF: peak cough flow, p-value was tested by repeated measures analysis of variance.

Table 3
Measuring visual analog scale
Variable Condition Average Standard deviation Type III Sum of squares Df Mean square F value p-value Post-Hoc
VAS (mm) Baselinea 33.13 32.029 10.039 2 5.02 8.254 0.002** b > c
Indoorb 40.2 32.42
Forestc 28.73 28.215

Note.

** p < .01.

VAS: visual analog scale, p-value was tested by repeated measures analysis of variance.

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