Literature DB >> 28335541

Effects of Forest Therapy on Depressive Symptoms among Adults: A Systematic Review.

Insook Lee1, Heeseung Choi2, Kyung-Sook Bang3, Sungjae Kim4, MinKyung Song5, Buhyun Lee6.   

Abstract

This study systematically reviewed forest therapy programs designed to decrease the level of depression among adults and assessed the methodological rigor and scientific evidence quality of existing research studies to guide future studies. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The authors independently screened full-text articles from various databases using the following criteria: (1) intervention studies assessing the effects of forest therapy on depressive symptoms in adults aged 18 years and older; (2) studies including at least one control group or condition; (3) peer-reviewed studies; and (4) been published either in English or Korean before July 2016. The Scottish Intercollegiate Guideline Network measurement tool was used to assess the risk of bias in each trial. In the final sample, 28 articles (English: 13, Korean: 15) were included in the systematic review. We concluded that forest therapy is an emerging and effective intervention for decreasing adults' depression levels. However, the included studies lacked methodological rigor. Future studies assessing the long-term effect of forest therapy on depression using rigorous study designs are needed.

Entities:  

Keywords:  adults; depression; forest therapy; systematic review

Mesh:

Year:  2017        PMID: 28335541      PMCID: PMC5369157          DOI: 10.3390/ijerph14030321

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


1. Introduction

Forest therapy or “forest bathing” refers to visiting a forest or engaging in various therapeutic activities in a forest environment to improve one’s health and wellbeing [1,2]. Societies have been urbanizing rapidly and more people reside in an urban environment with limited access to nature; therefore, diverse efforts including political and landscaping efforts have been made to make nature more accessible [3]. With an increasing awareness of health benefits of forest therapy, it has been implemented on diverse population [1]. Particularly, the psychological benefits of forest therapy have received special attention as people residing in urban environments have been reported to be at an increased risk of prolonged exposure to stressful situations and mental health problems [4,5,6]. Compared to control groups, forest therapy significantly improves adults’ mental health by decreasing stress, depression, anxiety, and anger levels [7]. A systematic review summarizes the results of the available research studies and provides synthesized evidence on the effectiveness of those studies [8]. It enables researchers to identify the current state of the science, areas for future researchers to improve upon, and provides strong evidence for up-to-date practices and policy developments [9]. It is also beneficial for emerging topics that require systematic evaluation and synthesis of the evidence quality (e.g., feasibility and effectiveness of intervention) as well as well-established areas of research with accumulated scientific evidence that need be updated regularly. Despite the increased attention to the various health benefits of forest therapy, until now, systematic reviews of the body of evidence for the effectiveness of forest therapy on mental health have not been conducted. A clearer and comprehensive understanding of the effectiveness of forest therapy on mental health is important for further refinement of forest therapy programs. Among the several mental health outcomes included in the forest therapy research, our paper will focus on depression. Depression is the leading cause of disability; approximately 350 million (5% of the world’s population) suffer from this debilitating disorder [10]. The specific aims of this study were to: (1) provide a broad overview and synthesize the evidence on the usefulness of forest therapy to improve the level of depressive symptoms in adults; and (2) assess the methodological rigor and scientific evidence quality of existing research studies to guide future studies evaluating the effects of forest therapy on adults’ experiencing depressive symptoms. In the present review, forest therapy was defined as visiting a forest or engaging in various therapeutic activities in a forest environment to improve one’s health and wellbeing [1,2].

2. Methods

2.1. Literature Search

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched PubMed, EMBASE, Cumulative Index to Nursing and Allied Health, PsycARTICLES, Korean Studies Information Service System, Research Information Sharing Service, and DBpia to identify relevant studies published until July 2016. The search terms were chosen from the USNLM Institutes of Health list of Medical Subject Headings for 2015. Search terms included “trees”, “forests”, “wood”, “affect”, “depression”, “emotions” and “depressive disorder”. Search terms used to identify relevant studies for the review are listed in Appendix A, Table A1.
Table A1

Search Terms Used to Identify Relevant Studies for the Review.

Forest Therapy and Depression
Intervention

Trees */

Tree/

Forests/

Forest/

Forest Areas/

Area, Forested/

Areas, Forested/

Forested Area/

Woodland/

Woodlands/

Forestlands/

Forestland/

Wood/

Woods/

Shinrinyoku/

Green exercise/

1 OR 2 OR 3 OR 4 OR 5 OR 6 OR 7 OR 8 OR 9 OR 10 OR 11 OR 12 OR 13 OR 14 OR 15 OR 16 OR 17

Outcome

Affect/

Affects/

Mood/

Moods/

Depression/

Depressions/

Depressive Symptoms/

Depressive Symptom/

Symptom, Depressive/

Symptoms, Depressive/

Emotional Depression/

Depression, Emotional/

Depressions, Emotional/

Emotional Depressions/

Emotions/

Emotion/

Regret/

Regrets/

Feelings/

Feeling/

Depressive Disorder/

Depressive Disorders/

Disorder, Depressive/

Disorders, Depressive/

Neurosis, Depressive/

Depressive Neuroses/

Depressive Neurosis/

Neuroses, Depressive/

Depression, Endogenous/

Depressions, Endogenous/

Endogenous Depression/

Endogenous Depressions/

Depressive Syndrome/

Depressive Syndromes/

Syndrome, Depressive/

Syndromes, Depressive/

Depression, Neurotic/

Depressions, Neurotic/

Neurotic Depression/

Neurotic Depressions/

Melancholia/

Melancholias/

Unipolar Depression/

Depression, Unipolar/

Depressions, Unipolar/

Unipolar Depressions/

Sadness

18 OR 19 OR 20 OR 21 OR 22 OR 23 OR 24 OR 25 OR 26 OR 27 OR 28 OR 29 OR 30 OR 31 OR 32 OR 33 OR 34 OR 35 OR 36 OR 37 OR 38 OR 39 OR 40 OR 41 OR 42 OR 43 OR 44 OR 45 OR 46 OR 47 OR 48 OR 49 OR 50 OR 51 OR 52 OR 53 OR 54 OR 55 OR 56 OR 57 OR 58 OR 59 OR 60 OR 61 OR 62 OR 63 OR 64

Combined terms

17 AND 65

2.2. Selection Criteria

The initial eligibility assessment was conducted by one author by reviewing the title and abstracts. Then, two authors (MinKyung Song and Buhyun Lee) independently screened the full text versions of 66 articles using the following criteria: (1) intervention studies assessing the effects of forest therapy on depression among adults aged 18 years and older; (2) studies including at least one control group or condition; (3) peer-reviewed studies; and (4) been published either in English or Korean.

2.3. Data Extraction

The four authors (Heeseung Choi, Kyung-Sook Bang, MinKyung Song, and Buhyun Lee) independently performed the data extraction. The following data were extracted from each study: first author, date and place of publication, study design, sample size, setting, ethical consideration, participants’ characteristics, number of participants enrolled, summary of the intervention and control conditions, measures, reported outcomes, and risk of bias. The extracted data were input into standardized MS word (Microsoft Corporation, Seattle, WA, USA) files. Any disagreements were resolved by discussion between the authors.

2.4. Quality Assessment Tool

The Scottish Intercollegiate Guideline Network (SIGN) measurement tool (Healthcare Improvement Scotland, Edinburgh, Scotland) was used to assess the risk of bias in each study included in this review. The SIGN was developed in 1993 to improve the quality of health care for patients in Scotland by reducing the variation in practice and outcome, through the development and dissemination of national clinical guidelines containing recommendations for effective practice based on current evidence [11]. Using the SIGN, we evaluated the internal validity and risk of bias of the study and assigned values of “high quality (++),” “acceptable (+),” “low quality (−),” or “unacceptable—reject (0)” to each study. The risk of bias was evaluated independently by four reviewers (Heeseung Choi, Kyung-Sook Bang, MinKyung Song, and Buhyun Lee) and any disagreements were resolved through a consensus process.

3. Results

3.1. Study Identification and Selection

Records (N = 8355), including 4399 records published in English and 3956 records published in Korean, were retrieved from the initial database searches. These search results were imported using EndNote X7 and 1516 duplicates (1356 English articles and 160 Korean articles) were removed. A detailed flow diagram of the screening process is shown in Figure 1. After excluding an additional 6773 records based on the review of the study titles and abstracts, the remaining 21 articles published in English and 45 articles published in Korean were assessed for eligibility. Many articles were excluded because those studies addressed topics that were not relevant to forest therapy, such as tree analysis (i.e., classification and regression tree analysis), biliary/bronchial tree, forest modeling, and forest fragmentation. Finally, 28 articles (English: 13, Korean: 15) were included in the present systematic review.
Figure 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Flow Diagram of the Screening Process.

3.2. Study Characteristics

The general characteristics of the studies included in this review are summarized in Table 1. And summary of the studies included in this review are presented in Table 2 and Table 3. The selected studies were published between 1996 and 2016, and 24 of the 28 studies were published within the last five years. All the studies were conducted in Asian countries (Korea, Japan, and China) except one, which was conducted in the United Kingdom. Sixteen studies were conducted on healthy adults and the rest of the studies (n = 12) were conducted on adults with various health problems such as hypertension, cancer, and mental disorders. Among the 12 studies conducted for adults with health problems, six studies targeted psychiatric patients [12,13,14,15,16,17]; however, only one study [17] was conducted with patients with major depressive disorder. Two studies [12,15] were conducted for psychiatric patients with various diagnoses such as substance use disroders, schizophrenia, other psychotic disorders, mood disorders, and anxiety disorders. These two studies, however, did not specify what percentage of their samples were patients with major depressive disorder. Other studies targeted specific diagnoses such as Hwa-Byung [13], neurocognitive disorders [14], and alcoholism [16].
Table 1

General Characteristics of Included Studies (N = 28).

VariablesCategoriesN (%)
ParticipantsHealthy adultsAdults with health problems16 (57.1)12 (42.9)
Publication year≤20002001–20112012–20161 (3.6)3 (10.7)24 (85.7)
CountryRepublic of KoreaJapanChinaUnited Kingdom17 (60.7)7 (25.0)3 (10.7)1 (3.6)
Study DesignRandomized control trial designNon-equivalent control group designCrossover trial design6 (21.4)11 (39.3)11 (39.3)
Sample size≤2021–5051–100>10012 (42.9)6 (21.4)10 (35.7)0 (0)
SettingCommunityHospitalUniversityUnknown8 (28.6)5 (17.9)9 (32.1)6 (21.4)
Ethical considerationYesNo20 (71.4)8 (28.6)
Table 2

Summary of Included Studies for Healthy Adults (N = 16).

Authors (Year)CountryResearch DesignParticipants (N)Intervention(s)ControlMeasurementsOutcomes
Exp.Cont.
Self-Report MeasuresPhysiological Measures
Bang (2016) [18]Republic of KoreaRCTOffice workers (n = 45)Urban forest-walking program—Twice a week for five weeks—Urban forest walking (40 min) and Rest (10 min)Normal daily routinesHealth-Promoting Lifestyle Profile (HPLP) IIBeck Depression Inventory (BDI) General Health Questionnaire/Quality of life (GHQ/QL-12)Blood pressure (BP)Physical activity level *Health-Promoting behavior *DepressionQuality of life *
n = 18n = 27
BP
Han (2016) [24]Republic of KoreaNon-equivalent control group designFull-time employees from a public organization (61)2-day forest therapy camp Normal daily routinesBDIThe Euro Qol Visual Analog Scale (EQ-VAS)Heart Rate Variability(HRV)Natural Killer Cell (NK cell)Self-rated health conditionDepression *Ani EQ-VAS *
HRVNK cell *
n = 33n = 28
Horiuchi (2014) [25]JapanCrossover trialHealthy adults (n = 15)Viewing the forest while seated on a comfortable chair for 15 min—Switched sites with 30 min intervalConducted same activity in an enclosed conditionProfile of Mood States (POMS)BPHRVSalivary Amylase (sAMY)Tension-anxiety *Depression *Anger-hostilityFatigue *Confusion *Vigor
n = 15
BP *HR *, HF *, LF/HF *Salivary Amylase
Ji (2012) [26]Republic of KoreaCrossover trialHealthy male adult (n = 12)Viewing (15 min) and walking (25 min) in the forest—Switched sites with 24 h. intervalConducted same activities in the urban POMSBPHRAmylase concentrationTension-Anxiety *Depression *Anger-hostility *Fatigue * Confusion *Vigor
n = 12
BP *HR *Amylase concentration *
Kim (2012) [27]Republic of KoreaCrossover trialHealthy students (n = 50)Forest healing program—Viewing (15 min) and walking (15 min) in a forest park landscape—Switched sites with 24 h. intervalConducted same activities in the urban forestPOMSSemantic Differential (SD) methodNoneTension-anxietyDepressionAnger-hostility *FatigueConfusion *Vigor *Total moods disturbance *Emotion (Pleasant *, Natural *)
n = 50
Lee (2011) [28]JapanCrossover trialHealthy students (n = 12)Forest bathing—Viewing the forest (15 min)—Switched sites with 24 h. intervalConducted same activity in the urban POMSSD methodHRVSalivary CortisolPulse Rate (PR)BPEmotion *Tension-anxiety *DepressionAnger-hostilityFatigue *Confusion *Vigor *Total moods disturbance *
n = 12
Parasympathetic nervous activity *Sympathetic activity *Salivary cortisol *PR *
Lee (2014) [29]JapanCrossover trialHealthy students (n = 48)Forest therapy program—Forest walking (12–15 min), self-paced walking in the forest environments—Switched sites with 24 h. intervalConducted same activities in the urban SD methodThe feeling of refreshed questionnairePOMSThe Spielberger State-Trait Anxiety Inventory (STAI) questionnaireHRVBPEmotion *Tension-anxiety *DepressionAnger-hostility *Fatigue *Confusion *Vigor *State anxiety level *
n = 48
ln(LF/HF) *HR *BP
Lim (2014) [30]Republic of KoreaNon-equivalentcontrol groupdesignSenior citizens in a nursing home (n = 64)Forest therapy program—Once a week (for 90 min) for 11 weeks—Meditation—Experiencing forestCont. 1: Indoor therapy (Conducted same activities program in the room)Cont. 2: Normal daily routinesSelf-esteemDepressionNoneSelf-esteem *Depression *
n = 22Cont. 1n = 21Cont. 2n = 21
Mao G.X. (2012) [19]ChinaRCTHealthy students (n = 20)Forest bathing—Twice a day for two days—Walking in the forest area (for 90 min), with a 10-min rest during the walk Conducted same activities in the city areaPOMSBPCytokineEnzyme-linked immunoassayTension-anxiety *Depression-dejection *Anger-hostility *Fatigue-inertia *Confusion-bewildermentVigor-activity *
n = 10n = 10
BP *Cytokine: IL-6 *Enzyme-linked immunoassay: Renin *, AGT *
Shin (1996) [31]Republic of KoreaNon-equivalentcontrol groupdesignStudents (BDI scores: 18–30) (n = 64)5-day forest program—Group presentation, team exercise, hiking, and climbing the mountainNormal daily routinesBDINoneDepression *
n = 32n = 32
Song (2011) [32]JapanCrossover trialHealthy male adults (n = 18)Walking in the urban forest (20 min)—Switched sites with 24 h. intervalConducted same activity in the urban areaPOMSSTAIThe Symptom Checklist (SCL-90)Type A behaviorNoneTension-anxietyDepression *Anger-hostility *Fatigue *ConfusionVigor *Total mood disturbance *State-anxiety *Hostility *Anxiety *Obsessive-compulsive *Somatization *
n = 18
Song (2014) [33]Republic of KoreaNon-equivalentcontrol groupdesignFemale nursing college students (n = 53)Forest Healing Program—Once a week (for 3 h) for 12 weeks—Forest meditation—Natural healing play—Stress managementNormal daily routinesStress ResponseThe Spiritual Assessment ScaleNoneTension *Attack *SomatizationAngerDepressionFatigueFrustration *Total points of stress responses *Total points of spirituality *
n = 27n = 26
Song (2015) [23]JapanCrossover trialHealthy students (n = 11)Walking in the forest in the morning (for 15 min) Viewing the forest (for 15 min) in the afternoon—Switched sites with 24 h. intervalConducted same activities in the urban area SD method An inventory for the measurement of self-reported stress and arousalPOMSSTAIHRVEmotion (Comfortable, Relaxed *, Natural *Feeling refreshed *)Tension-anxiety *Depression *Anger–hostilityFatigue *ConfusionVigor *Anxiety *
n = 11
Overall mean ln(HF) *Overall mean HR *
Takayama (2014) [34]JapanCrossover trialHealthy students (n = 45)Forest bathing—Walking in the forest in morning (15 min)—Viewing the forest in the afternoon (15 min)—Switched sites with 24 h. intervalConducted same activities in the urban areaPOMSPositive and Negative Affect Schedule (PANAS)The Restorative Outcome Scale (ROS)The Subjective Vitality ScaleNoneTension–anxiety *Depression *Anger–hostilityFatigueConfusion *Vigor *Negative affect *Positive Affect *The ROS score *The total SVS score *
n = 45
Yang (2011) [35]Republic of KoreaNon-equivalentcontrol groupdesignAlcoholics’ families (n = 46)6-day forest program—Forest experience—Drawing a forest—Day and Night walkNormal daily RoutinesSpiritual health Inventory (SHI)BDIThe Rosenberg Self-Esteem Scale NoneSpiritual health *Depression *Self-esteem *
n = 24n = 22
You (2014) [36]Republic of KoreaNon-equivalentcontrol groupdesignHealthy females (n = 20)Sallimyok (Forest Therapy)MeditationWalkingQi-Qong programNormal daily routinesZung Self-Rating Depression ScalePsychological Well-Being ScaleNoneDepression *Psychological well-being *
n = 10n = 10

Note: Exp.: Experimental group, Cont.: Control group; * Significant finding; 2-day forest therapy camp; † consisted of walking, therapeutic activities, psychoeducation for coping with pain and stress, bodily exercises and mindfulness-based meditation in the forest and indoor music therapy.

Table 3

Summary of Studies for Adults with Health Problems (N = 12).

Authors (Year)CountryResearch DesignParticipants (N)InterventionControlMeasurementOutcome
Exp.Cont.Self-Report MeasuresPhysiological Measures
Barton (2012) [12]UKNon-equivalent control group designAdults with a mental health problem (n = 53)Green exerciseWalking in the green spaces (45 min)Cont. 1: SwimmingCont. 2: Social activitiesThe Rosenberg Self-Esteem ScalePOMSNoneSelf-esteem *Overall mood
n = 24Cont. 1 (n = 14)Cont. 2 (n = 15)
Choi (2014) [37]Republic of KoreaNon-equivalent control group designCancer patients (n = 53)Forest-experience-integration intervention —Once a week (for 120 min) for 8 weeks Normal daily routinesZung Self-Rating Depression ScaleSelf-regulation ResilienceNoneDepression *Resilience *
n = 26n = 27
Chun (2016) [20]Republic of KoreaRCTChronic stroke patients (n = 59)4-day forest therapy program—Meditation, Experiencing the forest through all five senses—Walking in the forestStayed in a hotel and participated in meditation and walking activities BDIHamilton Depression rating scale (HAM-D17)STAINoneDepression *Anxiety *
n = 30n = 29
Hong (2012) [13]Republic of KoreaCrossover trialPsychiatric outpatients (n = 16)3-day forests healing program for patients with Hwa-Byung—Washout period (28 days)Conducted regular diet and exercise program (3 times a day) in the forestThe Instrument of Oriental Medical Evaluation for Hwa-Byung BDISTAIState-Trait Anger Expression Inventory (STAXI)WHO Quality of Life Scale Abbreviated Version (WHOQOL-BREF)Heart Rate VariabilityHwa-Byung symptoms *Depression *Anxiety *State anger *Trait angerQuality of Life *
n = 16
Mean HR *Heart rate variabilityLF/HF
Hong (2013) [14]Republic of KoreaCrossover trialPsychiatric outpatients (n = 15)3-day forests healing programs for cognitive improvement—Washout period (28 days)Conducted regular diet and exercise program (3 times a day) in the forestBDISTAISTAXIWHOQOL-BREFNoneDepression *AnxietyAngerQuality of Life *
n = 15
Jia (2016) [21]ChinaRCTCOPD patient (n = 20)One-day forest bathing trip—Forest walking in the morning (for 90 min) and in the afternoon (for 90 min)One-day trip forurban walkingPOMSCortisolEpinephrineTension-anxiety *Depression-dejection *Anger-hostility *Fatigue-inertiaConfusion-bewildermentVigor-activity
n = 10n = 10
Cortisol *Epinephrine *
Kim (2015) [15]Republic of KoreaNon-equivalentcontrol group designPsychiatric inpatients (n = 20)Forest experience program—5 times in 2 weeks (60 min each time)—Handkerchief dyeing—Decorating a frame using natural itemsTAUKorean Version of Profile of Mood State-Brief (K-POMS-B)BDISalivary cortisolTension-anxietyDepressionAnger-hostilityFatigueConfusionVigorTotal moods disturbance
n = 10n = 10
Cortisol *
Kim (2015) [38]Republic of KoreaNon-equivalentcontrol groupdesignCancer patients (n = 53)Forest activity intervention—4 h. a day for 3 days—Experiencing feeling (1st day), meditation (2nd day), mindfulness (3rd day) and feedbackNormal daily routinesHospital Anxiety and Depression Scale (HADS)Profile of Mood States-Brief (POMS-B)Dispositional Hope ScaleNoneTension *Anxiety *Depression *Anger *Fatigue *Confusion *VigorTotal mood disturbance *Hope
n = 27n = 26
Mao (2012) [22]ChinaRCTElderly with hypertension (n = 24)Forest bathing—Twice a day for 7 days—Walking in the forest area for 90 min, with a 10-min rest during the walkConducted same activity in the city areaPOMSSerum Cortisol Tension-anxietyDepression-dejection *Anger-hostility *Fatigue-inertia *Confusion-Bewilderment *Vigor-activity *
n = 12n = 12
Serum Cortisol *
Shin (2012)[16]Republic of KoreaRCTAdult alcoholics (n = 92)9-day forest therapy camp §Normal daily routinesBDINoneDepression *
n = 47n = 45
Song (2015) [39]JapanCrossover trialMiddle-aged hypertensive individuals (20)Walking in the forest area (for 17 min)—Switched sites with 24 h. intervalConducted same activity in the urban areaSD methodPOMSHRVHREmotionTension–anxiety *Depression *Anger–hostility *Fatigue *Confusion *Vigor *
n = 20
Ln(HF) *HR *
Woo (2012) [17]Republic of KoreaNon-equivalentcontrol groupdesignPatients with major depressive disorder (n = 81)Forest therapy—Once a week for 4 weeks (for 3 h)—Cognitive behavior therapy—Forest meditation—Relaxation training—Forest explanationCont. 1: conducted the same intervention in a hospitalCont. 2: forest bathCont. 3: TAUHRSDMontgomery-Asberg Depression Rating Scale (MADRS)BDIShort Form Health Survey Questionnaire (SF-36)HRVDepression *Quality of life *
n = 28Cont.1N = 21Cont. 2N = 17Cont. 3N = 15HF power *LF/HF ratio

Note. Exp.: Experimental group, Cont.: Control group; TAU: Treatment-as-usual; * Significant finding; † three-day forest-experience-integration intervention consisted of preparation phase (30 min), physical intervention (20 min), psychological intervention (20 min), physical intervention (20 min), and completion phase (30 min).; ‡ three-day forests healing program conducted in the healing forest area and consisted of forest healing activities and oriental medicine treatments. Forest healing activities included various activities in the forest, such as exercise, Qi-Qong program, and experiencing forest using five senses. Oriental medicine treatments included natural herbal diet, herbal footbath therapy, aroma therapy, herbal tea therapy, and oriental medicine music; § nine-day forest therapy camp consisted of three sessions and each session lasted for three days. Each session included various therapeutic activities including nature games and nature interpretation (1st session); mountain-climbing, trekking, and orienteering (2nd session); nature-meditation and counseling in forest environment (3rd session).

Regarding the study design, 11 studies used a crossover trial design and only six of the studies [16,18,19,20,21,22] used a randomized controlled trial (RCT) design. Four out of six RCT design studies were conducted with adults with health problems. The most common types of control condition used in the non-equivalent control group design studies were “normal daily routines” for healthy adults (five out of six studies) and “treatment-as-usual” for adults with health problems (three out of five studies). The sample size ranged from 11 [23] to 92 [16]; for almost 43% of the studies, the sample size was less than 20. Furthermore, about one third of the studies (28.5%) did not follow the ethical protocol such as being reviewed and approved by the Institutional Review Board (IRB).

3.2.1. Format and Content of Forest Therapy

The forest therapy programs tested in these 28 studies varied in terms of format and content of the programs. The length of time that the interventions were undertaken ranged from one day to twelve weeks. The duration of the forest therapy ranged from twelve minutes [29] to three hours [33]. About one third of the studies [23,26,27,28,29,32,34,39] offered forest therapy programs and control conditions (such as activities in downtown) every other day during the two-day periods. Three studies [12,21,25] used a one-time intervention that lasted a few hours to half a day. One study did not report duration details of the intervention [36]. Regarding the content of forest therapy, walking in the forest was the key component of the forest therapy that was included in most studies except one [28]. Other therapeutic activities included in forest therapy programs were experiencing forest through the five senses (seeing, hearing, touching, smelling, and tasting), forest viewing, forest meditation, Qi-Qong, aromatherapy, herbal tea therapy, and craftwork using natural materials.

3.2.2. Depression Measures

The most commonly used self-report measure for depression in these 28 studies was the Profile of Mood States (POMS). For articles published in English, nine studies [12,19,21,22,25,28,29,34,39] used POMS to assess the level of depression and three studies [28,29,39] used Semantic differential (SD) method. Other scales used by the studies included the Hamilton Rating Scales for Depression [20], Beck Depression Inventory (BDI) [16,20,24,31], positive and negative affect schedule (PANAS) [34]. For studies published in Korean, the POMS [15,23,26,27,32,38] and BDI [13,14,15,17,18,35] were the most commonly used scale. Other scales used to measure depression were the Hospital Anxiety and Depression Scale (HADS) [38], Hamilton Rating Scales for Depression [17], Montgomery-Asberg Depression Rating Scales [17], Symptom Check List (SCL-90-R) [32], and Zung Self-Rating Depression Scale (SDS) [36]. Fourteen studies [13,15,17,18,19,21,22,23,24,25,26,28,29,39] used both self-report, paper-and-pencil questionnaires, and physiological measures, while 14 studies [12,14,16,20,27,30,31,32,33,34,35,36,37,38] used only self-report, paper-and-pencil questionnaires. Physiological or objective measures included heart rate variability (HRV), blood pressure, heart rate, and amylase concentration. Detailed information of the measures included in these studies is summarized in Table 2 and Table 3.

3.2.3. Effects of Forest Therapy on Depression

All 28 studies assessed the level of depression before and after the intervention; however, no study conducted additional long-term follow-up assessments. Regarding the changes in the level of depression, 21 studies showed significant improvement in depression, whereas seven studies reported no significant changes in depression compared to the control group [12,15,18,27,28,29,33]. The studies that failed to demonstrate a significant improvement in the level of depression were the ones that targeted only healthy adults and the ones that conducted “viewing or walking in the forest” activities only for the intervention group. Regarding the differential pattern of findings associated with research design, while 8 out of 11 crossover trials and 8 out of 11 non-equivalent control group design studies reported significant improvement in depression scores, five out of six RCTs reported significant results. However, the differential patterns of findings could be partly attributable to the sample characteristics of the studies; four out of six RCTs were conducted with adults with health problems.

3.3. Quality Assessment

Based on the SIGN checklist, ten out of the twenty-eight studies [16,18,19,20,21,23,25,30,34,37] met an “acceptable quality” rating and the rest eighteen studies were rated as low quality [12,13,14,15,17,22,24,26,27,28,29,31,32,33,35,36,38,39]. Six studies [16,18,19,20,21,22] used random allocations; however, no detailed description of the procedure was provided except two studies [18,20]. Five out of six RCT studies included in this review met the criteria for the “acceptable quality” [16,18,19,20,21], meeting all the items in the checklist except the criterion of blinding the treatment allocation to participants/researchers. One of the RCTs was rated “low” in terms of quality because the homogeneity between the experimental group and the control group at baseline was not ensured and the significant differences between the two groups had not been adequately addressed [22]. Three out of eleven crossover trials [23,25,34] were rated “acceptable” in terms of quality because they had low drop-out rates and the only difference between the experimental and control groups was the treatment under investigation. The main reasons for the “low quality” ratings were inadequate random allocation or method of concealment used. Among 11 categories in the SIGN checklist, studies were rated to have “high risk of bias” particularly for three categories: “the assignment of participants to treatment groups is randomized,” “an adequate concealment method is used,” and “the design keeps participants and investigators ‘blind’ about treatment allocation.” Please see Figure 2 for risk of bias graph.
Figure 2

Risk of Bias Graph. Note: Authors’ judgments about each risk of bias item presented as percentages across all included studies. 1.1 The study addresses an appropriate and clearly focused question; 1.2 The assignment of participants to treatment groups is randomized; 1.3 An adequate concealment method is used; 1.4 The design keeps participants and investigators “blind” about treatment allocation; 1.5 The treatment and control groups are similar at the start of the trial; 1.6 The only difference between groups is the treatment under investigation; 1.7 All relevant outcomes are measured in a standard, valid, and reliable way; 1.8 What percentage of the individuals or clusters recruited into each treatment arm of the study; dropped out before the study was completed? (<20% = low risk of bias); 1.9 All the participants are analyzed in the groups that they were randomly allocated (often referred to as intention to treat analysis); 1.10 Where the study is carried out at more than one site, results are comparable for all sites; 2.1 How well was the study done to minimize bias?

4. Discussion

As a result of the extensive literature review, we could identify 28 studies meeting the criteria for the present review. All the studies were data-based, intervention studies with at least one comparison group. Moreover, most studies (24 out of 28 studies) were published within the last five years, confirming that forest therapy is one of the emerging therapeutic approaches and it has been gaining popularity. An analysis of the 227 regional healthcare program plans proposed in Korea between 2011 and 2014 also revealed that 35 healthcare programs were utilizing forest resources [40]. These findings demonstrated that forest therapy is a fast-growing treatment approach used in the community. All 28 studies varied in terms of their sample characteristics and intervention types such as format, content, and study settings. Regardless of the wide variations, in general, the studies demonstrated that forest therapy is effective in improving depression, particularly for adults with health problems. However, programs that targeted only healthy adults and the ones that used “viewing or walking in the forest” activities as the only main intervention were not effective in improving depression. Per Stigsdotter et al. forest therapy is classified into three different levels of contact: “viewing nature,” “being in the presence of nearby nature,” and “active participation and involvement with nature [41].” All the activities had a certain amount of health benefits [3]; however, this review revealed that “viewing nature” or “being present near nature” may not be enough to have a significant impact on the level of depression. Therefore, future studies testing the effects of forest therapy need to include a higher level or dosage of therapeutic component of forest therapy. Another possible reason for the not-significant effect of forest therapy on improving depression in healthy adults is ceiling effect [42]. For future studies, well-thought-out intervention contents and careful selection of the outcome measures and target population are recommended. It is also important to develop structured and theory-based forest therapy programs based on the scientific evidence for the specific health benefits of forests. Despite the increasing number of studies testing the effects of the forest therapy, these published studies are still lacking methodological rigor, mainly due to a small sample size and not having an RCT design. The majority of the studies used either non-equivalent control group design or crossover design. Crossover design, or within-subjects design, increases statistical power and enables researchers to test the effect of the intervention with relatively small samples compared to studies using between-subject design. In addition, the internal validity of crossover designs is not influenced by random assignment or between-subject variation [43,44]. On the other hand, crossover design has several limitations. For crossover design, carryover effects, the treatment effect that is carried over from one experimental period to the next experimental period, needs to be carefully examined. In addition, dropout or missing data could be the significant problem because each participant serves as both the intervention and control group; therefore, the amount of contribution made by one participant is relatively large [43,44,45,46]. However, carryover effects inherited in the crossover study design were not properly addressed in the reviewed studies. Only two crossover trials conducted by the same investigator mentioned washout periods. In addition, only 4 out of 28 studies mentioned dropout rates. Overall, issues associated with dropout or missing data were not discussed in the reviewed studies. A second issue related to methodological rigor is the inadequacy of the control group/condition employed in the non-equivalent control group design studies. The majority of the non-equivalent control group studies used “usual care” for the control group and did not properly address factors that may threaten the findings’ validity such as the Rosenthal effect. In the future, well-designed studies with structurally equivalent control groups are needed to improve the quality. Another shortcoming of these studies was the lack of reliable measures for assessing the level of depression. About half of these studies used self-report, paper-and-pencil-based questionnaires that only assessed the level of depression. Since the significant correlations between the physiological findings (e.g., electroencephalogram asymmetry) and the level of perceived depression has received attention [47,48], scientists have begun to use various physiological measures to assess depression in addition to self-report questionnaires. Heart rate variability (HRV) was one of the commonly used measures in the studies included in the present paper. HRV is a physiological marker that reflects the functioning of the sympathetic and parasympathetic nervous system and is also a well-established indicator of stress and depression [49,50]. A significantly reduction in HRV has been observed among patients with depression compared to the healthy adults [51,52]. Other physiological measures that have been used to assess the level of stress and psychological conditions, including depression, natural killer cell activity [53], salivary amylase activity [54,55], salivary and serum cortisol, immunoglobulin A (IgA) concentrations [56], and urinary adrenaline levels [57]. In addition, electroencephalogram-based biomarkers (i.e., rACC theta, LDAEP, iAPF, P300, frontal theta activity) were found to predict the prognosis of the course of mental illness and treatment response [58]. Therefore, future studies examining the effects of forest therapy on depression need to use well-established and reliable physiological measures in addition to self-reported questionnaires to capture the full picture of the therapeutic effects of forest therapy. Lastly, sample characteristics of the reviewed studies deserve mention. The majority of the reviewed studies targeted healthy adult participants; only three studies tested the effects of forest therapy on adults diagnosed with major depressive disorder. Therefore, the extent that the results are applicable to clinical depression is still uncertain. More studies with clinical samples are needed to establish evidence of the therapeutic value of forest therapy. Furthermore, longitudinal studies testing the long-term effects of forest therapy on depression and the changes in depressive symptoms over a span of time are needed. A limitation of this systematic review is language bias since we only included studies that were published in English and Korean. Studies published in other languages, such as Chinese and Japanese, were not included in this review. Despite this limitation, this study increased the understanding of the therapeutic benefits of forest therapy and identified gaps in the literature.

5. Conclusions

This review demonstrated that forest therapy is an emerging and effective intervention for decreasing adults’ depressive symptoms. However, the studies included in this review lacked methodological rigor. Future studies assessing the long-term effects of forest therapy on depression using rigorous study designs are needed.
  30 in total

1.  The influence of forest therapy camp on depression in alcoholics.

Authors:  Won Sop Shin; Chang Seob Shin; Poung Sik Yeoun
Journal:  Environ Health Prev Med       Date:  2011-04-19       Impact factor: 3.674

2.  Carbamate pesticide-induced apoptosis and necrosis in human natural killer cells.

Authors:  Q Li; M Kobayashi; T Kawada
Journal:  J Biol Regul Homeost Agents       Date:  2014 Jan-Mar       Impact factor: 1.711

3.  The Scottish Intercollegiate Guidelines Network Initiative: getting validated guidelines into local practice.

Authors:  J C Petrie; J M Grimshaw; A Bryson
Journal:  Health Bull (Edinb)       Date:  1995-11

4.  The effect of single and repeated bouts of prolonged cycling and circadian variation on saliva flow rate, immunoglobulin A and alpha-amylase responses.

Authors:  Tzai-Li Li; Michael Gleeson
Journal:  J Sports Sci       Date:  2004 Nov-Dec       Impact factor: 3.337

5.  Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review.

Authors:  Ryan Thibodeau; Randall S Jorgensen; Sangmoon Kim
Journal:  J Abnorm Psychol       Date:  2006-11

6.  Correlation of stress factors with sustained depression of natural killer cell activity and predicted prognosis in patients with breast cancer.

Authors:  S Levy; R Herberman; M Lippman; T d'Angelo
Journal:  J Clin Oncol       Date:  1987-03       Impact factor: 44.544

7.  The effects of forest therapy on depression and anxiety in patients with chronic stroke.

Authors:  Min Ho Chun; Min Cheol Chang; Sung-Jae Lee
Journal:  Int J Neurosci       Date:  2016-04-10       Impact factor: 2.292

8.  Therapeutic effect of forest bathing on human hypertension in the elderly.

Authors:  Gen-Xiang Mao; Yong-Bao Cao; Xiao-Guang Lan; Zhi-Hua He; Zhuo-Mei Chen; Ya-Zhen Wang; Xi-Lian Hu; Yuan-Dong Lv; Guo-Fu Wang; Jing Yan
Journal:  J Cardiol       Date:  2012-09-01       Impact factor: 3.159

9.  Impact of viewing vs. not viewing a real forest on physiological and psychological responses in the same setting.

Authors:  Masahiro Horiuchi; Junko Endo; Norimasa Takayama; Kazutaka Murase; Norio Nishiyama; Haruo Saito; Akio Fujiwara
Journal:  Int J Environ Res Public Health       Date:  2014-10-20       Impact factor: 3.390

10.  Emotional, restorative and vitalizing effects of forest and urban environments at four sites in Japan.

Authors:  Norimasa Takayama; Kalevi Korpela; Juyoung Lee; Takeshi Morikawa; Yuko Tsunetsugu; Bum-Jin Park; Qing Li; Liisa Tyrväinen; Yoshifumi Miyazaki; Takahide Kagawa
Journal:  Int J Environ Res Public Health       Date:  2014-07-15       Impact factor: 3.390

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  38 in total

Review 1.  Within What Distance Does "Greenness" Best Predict Physical Health? A Systematic Review of Articles with GIS Buffer Analyses across the Lifespan.

Authors:  Matthew Browning; Kangjae Lee
Journal:  Int J Environ Res Public Health       Date:  2017-06-23       Impact factor: 3.390

2.  Effects of Short Forest Bathing Program on Autonomic Nervous System Activity and Mood States in Middle-Aged and Elderly Individuals.

Authors:  Chia-Pin Yu; Chia-Min Lin; Ming-Jer Tsai; Yu-Chieh Tsai; Chun-Yu Chen
Journal:  Int J Environ Res Public Health       Date:  2017-08-09       Impact factor: 3.390

Review 3.  Effects of forest bathing on pre-hypertensive and hypertensive adults: a review of the literature.

Authors:  Katherine Ka-Yin Yau; Alice Yuen Loke
Journal:  Environ Health Prev Med       Date:  2020-06-22       Impact factor: 3.674

4.  Physiological and Psychological Effects of Watching Videos of Different Durations Showing Urban Bamboo Forests with Varied Structures.

Authors:  Yuqian Wang; Mingyan Jiang; Yinshu Huang; Zhiyi Sheng; Xiao Huang; Wei Lin; Qibing Chen; Xi Li; Zhenghua Luo; Bingyang Lv
Journal:  Int J Environ Res Public Health       Date:  2020-05-14       Impact factor: 3.390

5.  Benefits of a Three-Day Bamboo Forest Therapy Session on the Physiological Responses of University Students.

Authors:  Chengcheng Zeng; Bingyang Lyu; Songyuan Deng; Yan Yu; Nian Li; Wei Lin; Di Li; Qibing Chen
Journal:  Int J Environ Res Public Health       Date:  2020-05-06       Impact factor: 3.390

6.  Effects of Walking in a Forest on Young Women.

Authors:  Chorong Song; Harumi Ikei; Takahide Kagawa; Yoshifumi Miyazaki
Journal:  Int J Environ Res Public Health       Date:  2019-01-15       Impact factor: 3.390

7.  An Exploratory Study on the Effects of Forest Therapy on Sleep Quality in Patients with Gastrointestinal Tract Cancers.

Authors:  Hyeyun Kim; Yong Won Lee; Hyo Jin Ju; Bong Jin Jang; Yeong In Kim
Journal:  Int J Environ Res Public Health       Date:  2019-07-10       Impact factor: 3.390

8.  A Scoping Review Mapping Research on Green Space and Associated Mental Health Benefits.

Authors:  Charlotte Wendelboe-Nelson; Sarah Kelly; Marion Kennedy; John W Cherrie
Journal:  Int J Environ Res Public Health       Date:  2019-06-12       Impact factor: 3.390

9.  "That Guy, Is He Really Sick at All?" An Analysis of How Veterans with PTSD Experience Nature-Based Therapy.

Authors:  Dorthe Varning Poulsen; Ulrika K Stigsdotter; Annette Sofie Davidsen
Journal:  Healthcare (Basel)       Date:  2018-06-14

10.  The Effects of a Health Promotion Program Using Urban Forests and Nursing Student Mentors on the Perceived and Psychological Health of Elementary School Children in Vulnerable Populations.

Authors:  Kyung-Sook Bang; Sungjae Kim; Min Kyung Song; Kyung Im Kang; Yeaseul Jeong
Journal:  Int J Environ Res Public Health       Date:  2018-09-11       Impact factor: 3.390

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