Article
Association between the Psychological Effects
of Viewing Forest Landscapes and Trait
Anxiety Level
Chorong Song 1,2, Harumi Ikei 2, Bum-Jin Park 3, Juyoung Lee 4, Takahide Kagawa 5
and Yoshifumi Miyazaki 2,*
1 Department of Forest Resources, Kongju National University, 54 Daehak-ro, Yesan-eup, Yesan-gun,
Chungcheongnam-do 32439, Korea; crsong@kongju.ac.kr
2 Center for Environment, Health and Field Sciences, Chiba University, 6-2-1 Kashiwa-no-ha, Kashiwa,
Chiba 277-0882, Japan; hikei@chiba-u.jp
3 Department of Environment and Forest Resources, Chungnam National University, 99 Daehak-ro,
Yuseong-gu, Daejeon 34134, Korea; bjpark@cnu.ac.kr
4 Department of Landscape Architecture, Hankyong National University, 327 Jungang-ro, Anseong-si,
Gyeonggi-do 17579, Korea; lohawi@gmail.com
5 Forestry and Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki 305-8687, Japan;
kagawa@ffpri.affrc.go.jp
* Correspondence: ymiyazaki@faculty.chiba-u.jp; Tel.: +81-4-7137-8184; Fax: +81-4-7137-8008
Received: 10 July 2020; Accepted: 26 July 2020; Published: 29 July 2020
Abstract: The aim of this study was to validate the psychological advantages of viewing forest
landscapes. Moreover, the associations between trait anxiety levels and psychological responses
were evaluated. A total of 650 university male students (age, 21.7 ± 1.6 years) viewed a scenery in a
forested area and an urban area for 15 min. Furthermore, the Profile of Mood States questionnaire
and State-Trait Anxiety Inventory were employed for the assessment of the psychological responses
and the level of trait anxiety, respectively, of the participants. Results showed that compared with
viewing a city area, viewing forest areas increased positive mood state, such as vigor, and decreased
negative mood states. Furthermore, trait anxiety level and changes in the psychological responses
such as depression–dejection, fatigue, and confusion after viewing forest landscapes were
significantly correlated. The participants with high anxiety levels had greater reduction in negative
mood state, including confusion, than those with low anxiety levels. In conclusion, viewing forest
landscapes induced psychological relaxation, which was more evident in individuals with high
anxiety levels.
Keywords: psychological relaxation; trait anxiety; health-promoting environments; Profile of Mood
States; preventive medicine; forest therapy
1. Introduction
We live in an urbanized environment. Urbanization is a major factor for the improvement of
living conditions [1]. However, these extremely drastic environmental changes, including increase in
traffic and various pollution such as air and water and decrease in green space, threaten human well-
being and health and affect quality of life [2,3]. Previous research reported that there is an association
between urban living and an increased risk of health problems [4,5]. In particular, there is an increase
in profound mental health problems. The prevalence rates of psychiatric disorders [6] and specific
pooled rates for mood and anxiety disorders [7] were significantly higher in individuals living in
urban areas than in those living in rural areas. Furthermore, city dwellers exhibit a higher risk of
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mood and anxiety disorders [7], and higher rates of psychotropic medication prescriptions are
observed in city dwellers than in non-city dwellers [8].
Although urban living causes these health problems, the number of urban residents can still
gradually increase. According to a report by the United Nations, it is expected that approximately
70% of humans will live in urban areas by 2050 [9]. It is believed that planning and creating a more
comfortable urban environment in which we live will be an important issue for human well-being.
The expansion of urban green space, which helps improve the well-being of humans using two
approaches, can be a promising solution. The extension of nature can contribute to regulating
ecosystem services, thereby preventing illness caused by harmful environmental conditions and heat
and air pollution [10]. Moreover, access to nature can promote human health through physical
activity and social interactions [11,12].
Recently, several studies have shown that a positive relationship exists between access to nature
and human physiological and psychological well-being among urban dwellers. Demographic studies
have reported that urban green spaces are positively associated with residents’ perceived general
health [11–15]. If there is green space within walking distance of the residence, it can lead to an
increase in the longevity of senior citizens [13]. As a more direct effect, contact with nature promotes
psychological restoration [16] and reduces stress [17,18]. Moreover, brief walking in an urban green
space, as opposed to that in a city area, induces psychological as well as physiological relaxation, as
evidenced by suppressed sympathetic nervous system activity, improved parasympathetic nervous
system activity, improved mood state, reduced anxiety levels, and decreased heart rate [19–21].
However, these studies included a small sample size, and differences in sample size have
varying effects. Studies about this are extremely limited. An individualized approach is vital for
creating green spaces that fit each individual’s characteristics, needs, and preferences. Conducting
studies on this issue can be challenging because a large sample size is needed. Previously, we assessed
individual differences in mood state changes after walking and viewing forested areas in a large
cohort, and significant correlations were found between them and initial values [22]. Spending time
in the forest area resulted in a reduction in negative mood states, which was more evident in
individuals with high negative mood states than in those with low negative mood states.
Anxiety is a social problem in modern society. Thus, the current study aimed to validate the
mental advantages of viewing real forest landscapes in a large cohort. Furthermore, the associations
between changes in mood state after viewing forest landscapes and trait anxiety levels were assessed.
2. Materials and Methods
2.1. Experimental Sites and Study Period
We conducted this study from 2005 to 2013 in 56 city and forest areas in Japan. Moreover,
experiments were conducted in forest areas that were safe and well-maintained. The city landscapes
were situated in downtown areas. We conducted all experiments during the summer from July to
September.
2.2. Participants
In total, 12 male Japanese university students who were recruited via a bulletin board
advertisement at a university participated in each experiment (n = 672; 12 participants × 56 areas).
The cohort comprised students with various majors. Thus, there was no related direct bias in the
experiments. A history of physical or psychiatric disorder was not reported by any participant. The
results of 22 participants were excluded due to their absence for personal reasons. Thus, the data of
650 participants aged 21.7 ± 1.6 years were analyzed.
This study protocol was approved by the institutional ethics committee of the Forestry and
Forest Products Research Institute (project identification code number: 16-558; 2005–2006; 24 areas
including 288 participants) and the ethics committee of the Center for Environment, Health and Field
Sciences, Chiba University (project identification code number: 5; 2007–2013; 32 areas including 384
participants) in Japan.
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2.3. Experimental Design
On the morning (13 areas) or the day prior to (43 areas) the experiment, 12 participants visited
the meeting room for their orientation in each experimental region. Before the initiation of the
experiments, the experimental procedures and objectives of the study were explained and written
informed consent was obtained. For eliminating order effects, we randomly divided the participants
into 2 groups (n = 6 for each group). On day 1, one group conducted the experiment in the forested
area, whereas the other conducted the same experiment in the city area. On day 2, the groups
switched the experimental sites.
Upon arrival in a city or forest areas, the participants waited for their turn inside a room and
each of them was eventually taken to the experimental site. They stayed in two environments and
viewed the landscape for 15 min while resting in a chair (Figure 1). After the viewing, they underwent
an assessment of the Profile of Mood State (POMS) questionnaire and returned to the waiting room.
Finally, a questionnaire survey was conducted to investigate the trait anxiety level of the participants.
Figure 1. Experimental landscapes: (A) forested and (B) city areas.
2.4. Psychological Measurements
The Profile of Mood State (POMS) questionnaire is a analytically derived measure of mood state.
This tool has high reliability and validity levels based on previous studies [23,24]. Moreover, the
POMS can simultaneously evaluate six moods, namely tension and anxiety (T-A), depression and
dejection (D), anger and hostility (A-H), fatigue (F), confusion (C), and vigor (V). A short form
including 30 questions as well as the Japanese version [25] was used for reducing the burden on the
participants. Furthermore, T-scores of the POMS were used for analysis.
Additionally, the State-Trait Anxiety Inventory (STAI), a self-reported tool, is used to measure
the severity and presence of current anxiety symptoms [26]. Trait anxiety, involving 20 questions,
measures the relatively stable anxiety proneness factors [27]. In this study, form X as well as the
Japanese version was used for assessing the trait anxiety level of the participants and individuals
with scores ≥44, between ≤43 and ≥33, and ≤32 were classified under the high, normal, and low anxiety
groups, respectively.
2.5. Data Analysis
Psychological responses after viewing forest and city landscapes were compared using the
Wilcoxon signed-rank test. The correlation between the POMS subscale scores after viewing forest
landscapes (values after observing a forested area compared with those after observing through a
city landscape) and the trait anxiety scores of STAI were evaluated using Pearson’s correlation test.
Participants with high and low anxiety levels were assessed using the Mann–Whitney U test.
The Statistical Package for the Social Sciences (SPSS version 20.0, SPSS Inc., Chicago, IL, USA)
was used for statistical analyses. A p-value of <0.05 was considered statistically significant.
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3. Results
Significant differences were observed in T–A, D, A–H, F, C, and V between the participants who
viewed forested areas and those who viewed city areas (Figure 2). The T-A subscale score was
significantly lower after observing forest areas than after observing city landscapes (mean ± standard
deviation, 36.1 ± 5.5 vs. 42.6 ± 8.4; p < 0.01). The results for the D (forest area, 40.6 ± 4.0; city area, 41.9
± 5.6; p < 0.01), A-H (forest area, 38.0 ± 3.3; city area, 40.6 ± 6.5; p < 0.01), F (forest area, 37.6 ± 6.7; city
area, 44.7 ± 9.4; p < 0.01), and C (forest area, 42.1 ± 5.5; city area, 45.5 ± 7.3; p < 0.01) subscales were
similar. The negative mood state was significantly lower after observing forested areas than after
observing city landscapes. Conversely, the mean score for V after viewing forest areas was
significantly higher than that after viewing city areas (40.5 ± 10.2 vs. 33.3 ± 6.9; p < 0.01); thus, after
viewing forest landscapes, the positive mood state was observed to be higher.
60
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Figure 2. Profile of Mood States scores after observing city and forest areas. T–A, tension–anxiety; D,
depression–dejection; A–H, anger–hostility; F, fatigue; C, confusion; and V, vigor. n = 649–650; mean
± standard deviation; ** p < 0.01 decided by the Wilcoxon signed-rank test.
Based on the assessment using STAI, of the 650 participants, 351, 247, and 52 were classified
under the high, normal, low anxiety groups, respectively.
Changes in the D, F, C subscales after viewing forest areas (values after viewing a forest area
compared with those after viewing a city landscape) and trait anxiety levels (p < 0.05) were
significantly correlated. In the graph, the x-axis indicates changes in the D, F, C after viewing forests,
y-axis indicates scores of trait anxiety, and z-axis represents the number of participants, as shown in
Figures 3–5, respectively.
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Figure 3. A graph indicating the relationship between changes in depression–dejection after
observing forest landscapes, number of participants, and trait anxiety scores. n = 650, **: p < 0.01
decided by the Pearson’s correlation test.
Figure 4. A graph indicating the relationship between changes in fatigue after observing forest
landscapes, number of participants, and trait anxiety scores. n = 649, *: p < 0.05 decided by the
Pearson’s correlation test.
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Figure 5. A graph indicating the relationship between changes in confusion after observing forest
landscapes, number of participants, and trait anxiety scores. n = 649, **: p < 0.01 decided by the
Pearson’s correlation test.
In addition, a higher reduction in the C subscale score after viewing forest landscapes was shown
in the group with high trait anxiety than in the group with low trait anxiety (p < 0.05, Figure 6).
: Forest area
☨
: City area
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**
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Low an低xi不ety安group
High a高n不xie安ty group
Figure 6. Comparison between groups with high and low anxiety levels with regard to experiencing
confusion after viewing forest and city areas. Participants with low anxiety levels: n = 52; participants
with high anxiety levels: n = 350. Mean ± standard deviation. ☨ p < 0.05 (comparing groups) decided
by Mann–Whitney U test, ** p < 0.01, * p < 0.05 (comparing the two areas) decided by Wilcoxon signed-
rank test.
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4. Discussion
We found that viewing forest landscapes, as opposed to viewing city areas, decreased negative
mood states and improved positive mood states. These results are partially coherent with previous
studies on the effects of observing forest scenery or walking through forested areas [28–30]. We first
assessed the use of a large sample size of 650, and the psychological advantages of viewing forest
landscapes in this large cohort were evident.
These findings support the notion that simple access to nature for a short period may promote
mental relaxation. Mental health problems are becoming more serious these days, making them a
social issue. The psychological benefits of nature are extremely significant, and in the future, urban
green spaces can play essential roles in promoting mental health. Nature therapy aims at achieving
the effects of preventive medicine through access to nature, which renders a state of physical and
mental relaxation and boosts weakened immune functions, which have been reduced due to stress in
modern society, for preventing the development of some diseases [31–33]. Thus, it is important to
establish methods that can be used promote relaxation in daily life using urban green space. The
current study’s results are valuable for achieving this goal. Moreover, health policies using nature
should be considered. In addition, urban planners need to pay more attention to the maintenance
and increase in accessible green spaces in urban areas. Nature’s beneficial effects provide a cost-
effective, simple, and accessible method for improving the quality of life and health of individuals in
urban areas.
Furthermore, we found that trait anxiety levels and changes in the D, F, and C subscales of POMS
after viewing forest landscapes were significantly correlated. Our results suggested that
psychological responses differ based on the trait anxiety levels of a participant and a greater reduction
in C after viewing forest landscapes was observed in the participants with high anxiety levels than
those with low anxiety levels. These results are partly consistent with those of our previous study on
the relationship between the psychological effects by a brief forest walk and trait anxiety levels [34].
In a previous study, individuals’ trait anxiety levels and changes in the D subscale of POMS by forest
walk were significantly correlated. When walking through the forest, a significant correlation was
found in D alone. A greater reduction in the D by forest walk was observed in participants having
high trait anxiety levels than in those having normal and low trait anxiety levels. This result indicates
that the psychological advantages of a brief forest walk among individuals with high trait anxiety
levels can differ based on the way of enjoying the forest, such as the dynamic way of walking and the
static way of viewing the scenery; this point must be considered in future studies.
The number of studies that have assessed individual differences in psychological responses is
extremely low. It is particularly important in modern society to use an individualized approach for
creating green spaces that fit each individual’s characteristics, needs, and preferences. More studies
in this area need to be conducted. This study investigated individual differences, with a focus on the
individual characteristics of “anxiety” in a large sample size. These results can be used in the future
as important basic research on individual differences.
The current study had several limitations. First, for validating the psychological effects of
viewing forest areas, the study was performed in representative forests of each region. Because the
experiments were performed at 52 different sites, the results might have been affected by the
differences according to a region. Effects based on the different characteristics of the forests, such as
amount, type, and location, must be investigated in the future. Second, for generalizing the results,
studies including groups with different demographic characteristics, for example sex and age, should
be conducted. Moreover, such effects must be examined in populations that experience heightened
states of stress in daily life. Third, for assessing the psychological effects of viewing forests, additional
psychological measurements should be used. Finally, the prior expectations and experiences of
participants regarding viewing forests might have influenced the results. Thus, in future research,
these limitations need to be considered.
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5. Conclusions
Viewing forest landscapes induced psychological relaxation, which was more evident in
individuals having high trait anxiety levels.
Author Contributions: Conceptualization, Y.M.; methodology, C.S., H.I., B.-J.P., J.L., T.K., and Y.M.; formal
analysis, C.S.; investigation, C.S., H.I., B.-J.P., J.L., T.K., and Y.M.; data curation, C.S., H.I., B.-J.P., J.L., T.K., and
Y.M.; writing—original draft preparation, C.S.; writing—review and editing, C.S. and Y.M.; visualization, C.S.
and Y.M.; supervision, Y.M.; project administration, T.K. and Y.M. All authors have read and agreed to the
published version of the manuscript.
Funding: This research received no external funding.
Acknowledgments: We appreciate Yuko Tsunetsugu of the University of Tokyo for providing support during
the data collection phase of this study.
Conflicts of Interest: The authors declare no conflict of interest.
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