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Influence of External Natural Environment Including Sunshine Exposure on Public Mental Health: A Systematic Review

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan
Teijin Pharma Limited, Tokyo 191-8512, Japan
Tsubota Laboratory Inc. Tokyo 160-0016, Japan
Author to whom correspondence should be addressed.
Psychiatry Int. 2022, 3(1), 91-113;
Submission received: 11 February 2022 / Revised: 26 February 2022 / Accepted: 2 March 2022 / Published: 4 March 2022
(This article belongs to the Special Issue Feature Papers in Psychiatry International)


The COVID-19 pandemic has been raging around the world and public health measures such as lockdowns have forced people to go out less often, reducing sunlight exposure time, green space use, and physical activity. It is well known that exercise has a positive impact on mental health, but the impact of external environmental factors such as sunlight exposure and green space use on mental health has not been systematically reviewed. In this review, we categorized the major factors that may affect people’s mental health into (1) external environmental factors such as exposure to sunlight and green spaces, (2) internal life factors such as physical activity and lifestyle, and (3) mixed external and internal factors, and systematically examined the relationship between each factor and people’s mental health. The results showed that exposure to sunlight, spending leisure time in green spaces, and physical activity each had a positive impact on people’s mental health, including depression, anxiety, and stress states. Specifically, moderate physical activity in an external environment with sunlight exposure or green space was found to be an important factor. The study found that exposure to the natural environment through sunbathing and exercise is important for people’s mental health.

1. Introduction

External environments, including natural sunlight, has a significant impact on our mental health, but so far, few studies have comprehensively reviewed the relationship between mental health and the external environment. In particular, the COVID-19 pandemic has been currently spreading around the world since the end of 2019, forcing many countries and regions to lock down as a preventive measure against the outbreak. In such a situation, it is highly possible that not only the psychological frustration of not being able to go out freely, but also the substantial reduction in time and opportunities for physical contact with the external environment, including natural light, has had a significant negative impact on mental health.
Previous studies have shown that moderate exercise has a positive impact on mental health. Specifically, there is evidence that exercise interventions are effective in improving symptoms of depression [1,2], and that adding moderate exercise to behavioral therapy is also effective for depression [3]. Furthermore, there is evidence that exercise provides temporary relief from a variety of stresses for people, and that regular exercise can increase their feelings of self-efficacy [4]. In addition, regular exercise not only improves mental health, but also enhances the body’s immune capacity and leads to anti-inflammatory effects, which in turn reduces the risk of developing various chronic diseases [5].
However, although several studies have examined the relationship between mental health and exposure to external environments such as green spaces and sunlight through outings, their results have been mixed and have not been systematically reviewed. Particularly in the last two years, public health actions to control the COVID-19 pandemic (e.g., quarantine, lockdown, self-isolation, maintenance of social distance, etc.) have reduced not only physical activity [4] but also inevitably resulted in reduced exposure to sunlight and green spaces due to the reduced frequency of going out.
Therefore, the objective of this study was to comprehensively review the effects of (1) external factors, including exposure to sunlight and green spaces, and (2) internal factors, such as physical activity and lifestyle, on mental health from relevant studies, and to investigate potential factors other than exercise that could contribute to the maintenance and improvement of mental health in the post-pandemic new normal era.

2. Materials and Methods

2.1. Search Strategy

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Research articles that examined human subjects written in English were screened by three authors (K.T., M.T., and Y.T.) using PubMed from November 2010 to December 2021. The search terms included ((depression OR (major depress*) OR (affective disorders) OR (mood disorders)) AND (sunlight OR daylight hours OR exercise) AND (outdoor OR indoor OR suburbs OR downtown OR rural OR urban OR nature).

2.2. Inclusion and Exclusion Criteria

In this study, we included the studies that investigated the effects of sunlight exposure, living environment, or level of daytime activity on mental health. First, we excluded the articles that examined non-humans as well as those that were written in languages other than English. Subsequently, two authors (M.T. and K.T.) screened all articles and double-checked them separately to ensure that they met the inclusion criteria. Among the studies examining the relationship between daytime activity and mental health, those that purely investigated the relationship between exercise and mental health were excluded from the scope of this review because the effectiveness of exercise on mental health is already well established. Any discrepancies regarding the screening results for the included studies were resolved through discussions with the senior author (Y.N.).

2.3. Data Extraction

In this review, we extracted data for each study on the author’s name, year of publication, country where the study was conducted, study design, subject attributes, sample size, mean age, clinical assessment, biometrics, medication, and key findings. Furthermore, based on the content of the research, each study was classified and summarized into two categories: (1) articles investigating the relationship between external factors, such as living environment and sunshine hours, and mental health, and (2) articles investigating the relationship between the individual’s internal factors, such as lifestyle and amount of activity during the day, and mental health. In this study, we did not conduct a meta-analysis for the results of each study because the results were mostly qualitative and there were no consistent quantifiable indicators.

3. Results

3.1. Article Identification

The initial database search identified 1613 articles and finally a total of 54 studies met the eligible criteria. The details regarding the included studies are summarized in Figure 1. We classified the included studies into three categories: (1) external factors, (2) internal factors, and (3) a combination of both, which are summarized in Table 1, Table 2 and Table 3, respectively. The following sections describe the study design, the location where the study was conducted, research subjects, clinical measures, and key findings.

3.2. Study Design and Sample Characteristics of the Included Studies

Seven categories of study designs were identified among the included studies. Cross-sectional studies accounted for more than half of the included studies, or 33 out of 53. The majority of these studies were observational studies using questionnaires and other forms of surveys. The next most common type of study was longitudinal, with a total of 17 studies, including eight cohort studies and two case-control studies. In addition, there were a total of four intervention studies, including one crossover design and one clinical trial.
There were a total of 24 studies that examined the relationship between external environmental factors and mental health (Table 1).
Of these studies, 12 were related to living environments, and these environments included nature (seven studies), green spaces (two studies), and parks (three studies). In addition, eight of the studies focused on depression, four on depressive symptoms, two each on anxiety and stress states, and one on psychological distress. In addition, the studies targeting depression included one study looking at adolescent depression. There were a total of 12 studies on the relationship between sunshine duration and vitamin D intake and depression. Six studies assessed the relationship with depression, one of which was on geriatric depression. Two studies assessed depressive symptoms, and the other studies included one each assessing seasonal mood disorders, mood, and stress. An exception was the study by Wang et al., which assessed the relationship between depressive symptoms and PM2.5, and examined the effects of sunlight, physical activity, and neighborhood reciprocity on this association [6]. Two studies focused on both living environment and sun exposure, one investigating the effects of nature and sun exposure on mood and stress [7], and the other investigating the effects of natural environment and direct or indirect sun exposure on employees’ mental health and work attitudes [8]. As shown in Table 2, a total of 17 studies have investigated the relationship between an individual’s internal factors and mental health.
These studies are related to daytime activity levels and lifestyles, looking at the relationship between sitting time, leisure time, various physical activities, and overweight and depression. Among those studies, 13 studies targeted depressive symptoms, five targeted depression, and five targeted anxiety. There was a total of 12 other studies that included both internal individual and external environmental factors (Table 3). Most of the studies that included both factors examined the relationship between walking and depression in natural and urban environments. In addition, there were studies that examined the relationship between the presence of recreational facilities and mental health [9], between green spaces and exercise [10], and between nature experiences and depression [11]. Of those studies, three targeted depression, three examined depressive symptoms, and two investigated the relationship between depression and perceived stress. Moreover, three studies assessed mood, including mental well-being and emotional well-being.

3.3. Population and the Locations Where the Study Was Conducted in the Included Studies

Most of the articles included in this review were based on participants between the ages of 18 and 65. However, eight articles [12,13,14,15,16,17,18,19] studied participants younger than 18 years of age and discussed the association with adolescent depression. In addition, six articles [20,21,22,23,24,25,26] focused on the elderly. Although the articles included for this review varied in subject matter, two studies [21,27] limited their focus to patients with depression.
For the articles included in this review, the location of the study was across 21 countries. The most frequently surveyed region was the United States (n = 7) [8,17,18,20,28,29,30]. The next most common study areas were China (n = 6) [6,9,26,31,32,33], Korea (n = 6) [22,34,35,36,37,38], and the United Kingdom (n = 6) [10,39,40,41,42,43]. They were followed by five studies in Japan (n = 5) [15,44,45,46,47], three studies in the Netherlands [7,27,48], two studies in Australia [49,50], and two studies in Austria [21,51]. In addition, one study was conducted in each of the following countries: Vietnam [52], Austria [21], Canada [19], Scotland [53], United Arab Emirates [54], Malaysia [55], Brazil [12], India [56], Sweden [11], Denmark [57], Finland [25], and Estonia [24]. In one study [58], eight European countries were included; in another study [58], eight European countries were included: Lithuania, Switzerland, Italy, Germany, Portugal, Hungary, Slovakia, and France. In addition, in another study [16], the survey was conducted in countries participating in the Global School-Based Student Health Survey (GSHS).

3.4. Clinical Measures That Used in the Included Studies

Either DSM-IV, DSM-5, or ICD-10 was used to diagnose depression. The Center for Epidemiologic Studies Depression (CES-D) Scale was the most commonly used scale to assess depression and was used in 11 articles. The Profile of Mood States (POMS) and the Positive and Negative Affect Schedule (PANAS) were also commonly used to assess mood, with three articles each. Other studies used their own questionnaires or other symptom assessment batteries, and there was no uniformity.

3.5. Key Findings

Based on the key findings of this review, Figure 2 briefly summarizes the external and internal risk factors that can affect people’s mental health.

3.5.1. External Factors

Relationship between nature (green space) and mental health: There were eight studies that examined the relationship between nature (green space) and mental health (see Table 1). The diseases and conditions targeted in these included studies were as follows: depression was reported in four cases [32,42,49,50], depressive symptoms in three [8,20,25], and mood in one [7]. Furthermore, three studies examined the relationship with anxiety and stress [8,20,49]. In a study investigating the relationship between exposure to green space in residential areas and depression, the degree of green space exposure was correlated with less depressive symptoms (r = −0.386, p < 0.05) [32]. In addition, Cox et al. also suggested that three factors in particular (frequency: p < 0.001; duration: p < 0.05; and intensity: p < 0.01) of nature exposure were positively associated with depression [42]. Furthermore, Beute and de Kort demonstrated that nature exposure was associated with better affective states [7]. In addition, the study by Shanahan et al. showed that people who go outdoors to a green space for 30 min or more per week may have up to a 7% lower risk of developing depression and up to a 9% lower risk of developing hypertension [50]. However, Pun et al. found that living in a green space was not significantly associated with lower anxiety and depression scores [20], and Rantakokko et al. also reported that diversity of nature was not associated with lower depressive symptoms [25]. Furthermore, Dean et al. reported that, paradoxically, the greater the involvement with nature, the greater the degree of depression, anxiety, and stress [49]. Thus, no consistent results were found for the relationship between nature (green space) and mental health.
Relationship between parks and mental health: There were two studies that investigated the relationship between the presence of parks and depression. One study by Min et al. found that adults with few parks in their neighborhoods had a 16–27% higher risk of depression and suicide than adults with many parks in their neighborhoods [34]. Another study by Mukherjee et al. found that people who lived far from a park were 3.1 times (95% CI: 1.4–7.0) more likely to develop depression than those who lived closer to a park [56]. Both of these results have in common that the presence of a park close to the living environment may work positively in preventing the onset of depression.
Relationship between rural/urban area and mental health: There were five studies that examined the relationship between urban or rural area of residence and mental health, and the diseases and conditions targeted were depression in two studies and depressive symptoms in two studies. A study conducted on adolescent depression showed that 32.5% of rural students and 35.1% of urban students had depressive symptoms, and the attributes that made them less likely to suffer from depression in the adolescent population were being male (OR: 1.44; 95% CI 1.72–1.75, p < 0.001) and having an exercise habit (OR: 0.56; 95% CI 0.46–0.69, p < 0.001) [31]. Furthermore, Tan et al. reported the prevalence of depression among the poor in urban areas of Malaysia as 12.3%, and the factors significantly associated with depression included age below 25 years, male, living in the area for less than 4 years, and those who did not exercise regularly [55]. In addition, Chung et al. investigated the relationship between city size and risk factors for the development of depressive symptoms in the elderly and found that living in medium-sized cities or rural areas was a significant risk factor for the development of depressive symptoms in the elderly [36]. Other risk factors for the development of depressive symptoms in the elderly included male sex, age between 53–60 years, and lack of regular exercise. In a study examining the relationship between depressive symptoms and socio-environmental factors in a rural, depopulated inland area, the lifestyle-related factor most strongly associated with depression was “anxiety about interpersonal relationships” (odds ratio (OR): 2.7; 95% CI: 2.06–3.53, p < 0.0001) [44]. Although these results did not show consistent results for mental health in urban and rural areas, the study by Deng et al. showed that regular exercise may have a positive impact on mental health [9].
Relationship between sunlight and mental health: In this systematic review, seven studies investigated the relationship between sunlight exposure and mental health. A study examining daytime sunlight exposure and mood in UK adults found that an additional hour spent outdoors during the day was associated with a lower lifetime risk of depression (OR: 0.96; 95% CI: 0.92–0.98), less frequent use of antidepressant medication (OR: 0.95; 95% CI 0.92–0.98), less loss of pleasure and lower mood (OR: 0.88; 95% CI 0.87–0.89), greater self-reported happiness (OR: 1.45; 95% CI 1.41–1.48), and lower neuroticism (incidence rate ratio (IRR): 0.96; 95% CI 0.95–0.96) [43]. Furthermore, the other study investigating the effects of nature and sunlight exposure on mood and stress states showed that daylight exposure has beneficial effects on mood [7]. In a study examining the relationship between self-reported exposure to natural light in the living environment and the onset of depression, those who reported inadequate exposure to natural light in their living environment were 1.4 times (95% CI: 1.2–1.7) more likely to report having depression than those who did not [58]. An et al. investigated the effects of direct and indirect sunlight exposure on employees’ mental health and work attitudes and reported that lack of direct sunlight was a major predictor of anxiety, and lack of indirect sunlight was a major predictor of the emergence of depressed mood, job satisfaction and organizational commitment [8]. Furthermore, Sarran et al. investigated the relationship between the duration and amount of natural light exposure and depressive symptoms in patients with seasonal affective disorder, suggesting that shorter daylight duration at the time of the study and the week before, and lower total amount of daylight exposure in the week before the time of the study, were significantly correlated (r = 0.22, p < 0.001) with worse depressive symptoms [27]. In addition, a study examining the relationship between meteorological factors and depression due to air pollutants noted that as air pollutants increase, the amount of sunlight transmitted to the earth’s surface decreases, thereby reducing the amount of effective sunlight, which in turn may increase the risk of developing depression [37]. Finally, the study by Wang et al. focuses on sunlight exposure, physical activity, and reciprocal relationships with neighbors as factors that influence the relationship between PM2.5-induced air pollution and depression. The results suggest that increased PM2.5 concentrations were closely associated with worsening depressive symptoms, probably through decreased sun exposure, less physical activity, and less interaction with neighbors [6]. Thus, these nine studies consistently demonstrate the potential for natural light to have a positive impact on mental health [6,7,8,27,37,43,58]. On the other hand, in an interesting study, Canazei et al. examined the acute effects of room lighting on mood in patients with mild geriatric depression and found that artificial sunlight could produce a significant subjective sedative effect (p = 0.029, η2 = 0.218) compared to standard white light [21].
Relationship between vitamin D production by sun exposure and mental health: Thomas et al. conducted an intervention study in which female college students with vitamin D deficiency and depressive symptoms were divided into a behavioral activation program intervention group or a waiting list control group with an emphasis on sunbathing with the aim of investigating the relationship between the two [54]. The results showed that while vitamin D deficiency worsened in the control group, blood levels of 25-hydroxy vitamin D increased significantly in the behavioral activation group, which focused on sunbathing, and vitamin D deficiency was alleviated. There was also an improvement in depressive symptoms in the intervention group compared to the control group (r = −0.18, p = 0.02). In a study of elderly people in Korea, as compared with a normal group of men with serum 25 hydroxyvitamin D concentrations of 30.0 ng/mL or higher, people with serum 25 hydroxyvitamin D concentrations of 20.0–29.9 ng/mL had an OR of 1.74 (95% CI: 0.85, 3. 58), those with 10.0–19.9 ng/mL had an OR of 2.50 (95% CI: 1.20, 5.18), and those with <10.0 ng/mL had an OR of 2.81 (95% CI: 1.15, 6.83), even after adjusting for each clinico-epidemiological variable, indicating that they were more likely to develop depressive symptoms. On the other hand, no significant relationship between serum 25 hydroxyvitamin D concentration and depressive symptoms was observed in women, regardless of adjustment by clinico-epidemiological variables [22]. Moreover, a cohort study on the long-term course and outcome of depression and anxiety disorders using a subset of the Netherlands Study of Depression and Anxiety Disorders (NESDA) found that compared with healthy controls, participants with depressive episodes had significantly lower serum 25 hydroxyvitamin D concentrations (p = 0.001; Cohen’s d = 0.21). Furthermore, participants with the most severe depressive symptoms showed the lowest serum 25 hydroxyvitamin D concentrations (p = 0.001; Cohen’s d = 0.44) [48]. The results of these three studies are consistent, showing that blood levels of 25 hydroxyvitamin D are decreased in depressed patients.

3.5.2. Internal Life Factors

Relationship between physical activity and mental health: Of the 17 studies summarized in Table 2, there were 10 studies that investigated physical activity and mental health [13,14,19,23,24,26,33,38,46,51]. Three of those studies showed that physical activity may have a positive effect on depression [23,26,33], and one study in particular, by Wang et al. concluded that physical exercise three or more times a week, regardless of intensity, may reduce the risk of developing depression [33]. In terms of the relationship between physical activity level and risk of depression, Wang et al. found that moderate to high intensity physical activity [26] and Lee et al. showed that prolonged physical activity [23] reduced the risk of depression. In addition, Julien et al. focused on walking as a form of physical activity and investigated the relationship between walking and depressive symptoms. They found that those with more depressive symptoms were associated with a decrease in subsequent walking time [24]. In addition, with one exception, Hehn et al. found that outdoor work in winter had a positive impact on mood, but no particular impact on depression itself [57]. Xu et al. also examined the relationship between multiple lifestyle factors and depression. Higher sleep quality (OR: −3.92; 95% CI: −4.49, −3.35, p < 0.01) and duration (OR: −1.79; 95% CI: −2.49, −1.09, p < 0.01), more physical activity (OR: −0.83; 95% CI: −1.27, −0.40, p < 0.01), and more outdoor activity (OR: −1.07; 95% CI: −1.64, −0.51, p < 0.01) were significantly associated with lower depressive symptoms as assessed by the CES-D score [17].
Relationship between sedentary time and mental health: Nam et al. examined the relationship between sedentary time and depression and found that those who sat for 8–10 h (OR: 1.56; 95% CI: 1.15–2.11) or more than 10 h (OR: 1.71; 95% CI: 1.23–2.39) had an increased risk of developing depression compared to those who sat for less than 5 h per day [35]. Two other studies examined sedentary time and depressive symptoms. Vancampfort et al. found that the degree of depressive symptoms increased linearly with an increase in sedentary time of 3 h per day [16], while Pengpid et al. found that the odds ratios for the degree of anxiety and depressive symptoms plateaued and did not change with longer sedentary times of 8 h or more [52]. Thus, the above three studies showed that long sedentary time can have a negative impact on mental health.
Relationship between screen (internet) time and mental health: Although the number of studies on this topic is limited, increased screen time is associated with physical inactivity and may slightly increase the risk of developing anxiety and depressive symptoms [41]. In addition, the study in Kojima et al. found a significant association between problematic Internet use (PIU) and psychological factors such as depressive symptoms (OR: 1.83; 95% CI: 1.23–2.71) and orthostatic dysregulation (OD) symptoms (OR: 1.81; 95% CI: 1.11–2.98) [15].

3.5.3. Mixture of External and Internal Factors

Relationship between walking in natural environment and mental health: There were five studies that examined the relationship between walking and mental health in external natural environments (see Table 3). A study by Berman et al. showed that walking in a natural environment may improve cognitive and emotional functioning [29], while a study by Marselle et al. indicated that frequent nature appreciation may be associated with reduced stress levels, depressive symptoms, and negative emotions, and increased self-esteem and mental well-being [40]. A study conducted on healthy female college students by Song et al. also showed that walking in a forested area resulted in a significantly lower degree of symptoms associated with mood disorders than walking in an urban area (Total mood disturbance score of the POMS: forest: 0.1 ± 4.9; city: 7.7 ± 7.3; p < 0.01) [45]. Furthermore, Song et al. showed that walking in a forest increased feelings related to “comfort”, “relaxation”, “nature”, and “energy” and decreased feelings related to “tension-anxiety”, “depression”, “anxiety-hostility”, “fatigue”, and “confusion” for participants compared to walking in an urban environment [47]. On the other hand, Bratman et al. examined the relationship between exposure to the natural environment and frontal lobe function in healthy participants and found that a 90-min nature walk resulted in a decrease in self-reported rumination symptoms and a decrease in subgenual anterior cingulate cortex activity, whereas an urban walk did not induce these effects [11]. The results of these studies consistently show that walking in a natural environment can have positive effects on mental health.
Relationship between group walking and mental health in urban and rural areas: There were two studies that examined group walking and mental health in urban and rural environments for healthy participants [53,59]. Marselle et al. also reported that group walks in a green space significantly contributed to reduced perceived stress (B = −1.14, SE = 0.26, β = −0.08) and negative affect (B = −0.62, SE = 0.23, β = −0.05), but were not specifically associated with improved depressive symptoms (B = −0.08, SE = 0.02, β = −0.12) or increased positive affect (B = 1.78, SE = 0.30, β = 0.11) [59]. In addition, a study by Roe et al. conducted in healthy participants showed that walks in rural areas may be more effective in restoring emotional and cognitive functions (p < 0.01) than walks in urban areas [53]. These results commonly suggest that walking in rural areas may be more beneficial for stress and emotions than walking in urban areas.
Relationship between physical activity and mental health in other settings: A study by Orstad et al. examined the relationship between park-based physical activity and mental distress, and found that proximity to a park from the residence may be indirectly associated with fewer days of mental health problems through physical activity in the park only among those who were not concerned about crime in the park (index of moderated mediation = 0.04; SE = 0.02; bootstrap-generated 95% bias-corrected CI = 0.01–0.10) [28]. On the other hand, Deng et al. examined the relationship between the availability of recreational facilities in residential areas and depressive symptoms and found that the availability of recreational facilities was higher in urban areas than in rural areas (Cohen’s d = 1.05), which may have led to higher leisure time physical activity (the standardized path coefficient β = 0.080) and lower depressive symptoms (rural: β = 0.349; urban: β = 0.332) than rural residents. In fact, the degree of engagement in leisure time physical activity was relatively lower among rural residents compared to urban residents [9]. Furthermore, a study by Barton et al. conducted on participants experiencing a variety of mental health problems reported significant group differences in the improvement of both self-esteem (F1,147 = 38.2, p < 0.001) and mood level (F1,142 = 65.8, p < 0.001) after 6 weeks of intervention in the group that exercised in a green space compared to the group that engaged in social activities [10]. In addition, James et al. also assessed the cross-sectional relationship between walkability index and depression in a low-income, ethnically diverse population living in the southeastern United States with the aim of investigating which factors in the urban environment may pose a risk for adverse mental health outcomes. The results showed that participants living in areas with the highest walkability index had 6% higher odds of moderate or greater depressive symptoms (95% CI = 0.99–1.14), 28% higher odds of a depression diagnosis (95% CI = 1.20–1.36), and 16% higher odds of currently using antidepressants (95% CI = 1.08–1.25) compared to participants living in the lowest walkability index areas [30].

4. Discussion

In this study, we conducted a comprehensive review of the impacts of the external environment, including natural sunlight, on human mental health, taking into account the relationship with internal factors such as lifestyle and exercise habits. The results showed that exposure to sunlight is beneficial for maintaining and improving people’s mental health. In particular, spending time in green areas and parks is associated not only with exposure to sunlight, but also with the promotion of physical activity, which may contribute to improving mental health. Furthermore, exposure to sunlight, the presence of greenery near the residence, and increased interpersonal interaction had beneficial effects on the maintenance and improvement of mental health, suggesting that contact with the external natural environment is biologically important for human mental health.

4.1. Relationship between Living Environment and Mental Health

In terms of the relationship between living environment and mental health, the studies summarized in Table 1 did not show consistent results between urban and suburban/rural areas. However, it was found that the presence of available green spaces [20,25,32,42,49,50] and parks [34,56] around the living environment had a positive impact on mental health. The presence of green space around the living environment tends to have a positive impact on mental health, and this may be due in part to the high likelihood of exposure to sunlight in green space and natural environments. In addition, as reported by Wang et al., air pollution such as PM2.5 may have a negative impact on mental health, partially because it reduces the duration of sunlight exposure. However, some of the studies included in this study did not show positive effects on mental health in rural areas with a lot of nature and green spaces [6], suggesting that the use and purpose of green spaces and parks may be more important than their existence itself. In other words, although there are more extensive green areas in rural areas, they do not contribute much to mental health if their primary use is for farming as a work. In contrast, if the purpose of the green area is for exercise and recreation, it appears to have a positive effect on mental health, regardless of whether the area is located in an urban or suburban/rural area [32]. Other included studies [32,44] suggested the importance of exposure to the natural environment as well as opportunities for interpersonal interaction.
Furthermore, rural areas have a relatively large older population, which differs from the composition of the urban population, making it difficult to compare the effects of external and internal factors directly in terms of public mental health. Moreover, rural areas are often medically depopulated and poorly served by public transportation, which usually makes it difficult to access medical institutions specializing in mental health [44]. However, this reflects the reality of super-aging societies in certain developed countries, where further depopulation of rural areas may become a major problem in the mental health of the elderly. On the other hand, another study showed that the prevalence of depression was higher among the urban poor, which makes it difficult to interpret the relationship between external environment and mental health based on regional classifications such as urban and rural areas [55]. Again, regarding the relationship between sunlight exposure and mental health, all of the included studies except one [7] showed that sunlight may positively affect people’s mental health [6,8,12,21,27,37,43,58]. However, the study by Beute et al. did not show a direct effect of exposure to natural environment and sunlight exposure on emotional states but profiled higher hedonic tone and energy levels and lower tension levels in environments with higher exposure to both natural environment and sunlight, suggesting that, at least in part, sunlight exposure contributes to improved human mental health [7].
Some studies [22,48,54] have also reported that low vitamin D levels in the blood are associated with depressive symptoms. Since vitamin D is known as the sunshine vitamin [60] (i.e., vitamin D is produced in the skin through exposure to sunlight), it is conceivable that exposure to sunlight may also be beneficial in preventing or improving depression. In addition, Caccamo et al. also summarized the health risks of vitamin D deficiency from a biological function perspective and reported an association with neuropsychiatric disorders [61]. However, a recent meta-analysis that examined the efficacy of vitamin D for antidepressant effects on depression did not show consistent results [62]. Indeed, one previous study examined the relationship between serum 25-hydroxyvitamin D [25-(OH) D] levels and depressive symptoms in overweight and obese subjects in a cross-sectional and RCT design to evaluate the effect of vitamin D supplementation on depressive symptoms. The two groups treated with vitamin D showed significant improvement in BDI scores after one year, while the placebo group did not. This study suggests that there may be a relationship between serum 25(OH)D levels and depressive symptoms, and that high-dose vitamin D supplementation may improve these symptoms [63]. On the other hand, another RCT showed that vitamin D deficiency may not be associated with an increased risk of depression in people without clinically significant depression, indicating that the use of vitamin D supplementation may not be effective in reducing depressive symptoms in this population [64]. Thus, although there may be an association between mental health problems, including neuropsychiatric disorders, and vitamin D deficiency, further large clinical studies are needed to determine the beneficial effects of vitamin D on mental health, especially for those who spend more time indoors and less time exposed to sunlight.
In addition, even if people spend their time in a suburban environment with plenty of nature rather than in urban areas, long hours of transportation by car may not only cause mental fatigue from driving, but also undermine the positive effects of the natural environment because people are confined in cars [65,66].
Taken together, these results suggest that spending time in external environments, such as green spaces and parks, is more likely to promote sunlight exposure than spending time indoors and consequently contribute to the maintenance and improvement of people’s mental health, although this is partly due to the fact that its use is often originally based on positive aspects such as exercise and recreation.

4.2. Relationship between Internal Factors and Mental Health

Regarding the relationship between internal factors/lifestyle and mental health (see Table 2 and Table 3), a number of studies have reported that daily exercise habits [14,17,18,23,26,33,38,46,51,52,59] have a positive impact on mental health in general, while sedentary lifestyle [16,23,24,35,46,52] and long screen time [15,41] increase the risk of depression. Although several previous studies [9,10,19,24,57] have shown that exercise does not always have a positive impact on mental health for clinical populations experiencing a variety of mental health problems, a study by Barton et al. reported that mood disturbances and low self-esteem generally improve after participation in any exercise program [10]. Buchan et al. [19] showed that increased moderate-to-vigorous physical activity was associated with decreased anxiety and depressive symptoms in men. In addition, a study by Hahn et al. [57] showed that outdoor work in winter, with its short daylight hours, did not have a particularly negative effect on the development of depression, but rather could have a beneficial effect on mood, suggesting that exercise itself may have, at least in part, an antidepressant effect. On the other hand, interestingly, a study by Julien et al. [24] found no significant association between the amount of walking and depressive symptoms when assessed cross-sectionally, but showed that subjects with more depressive symptoms tended to walk less frequently afterwards, indicating that longitudinally, depressive symptoms may cause a decrease in walking frequency.
Furthermore, the study by Deng et al. [9] showed that the use of recreational facilities may increase people’s physical activity in urban areas compared to rural areas. However, the study did not examine the direct effect of recreational facilities on the reduction of depressive symptoms in urban areas. In any case, the results suggest that people’s lifestyles may change depending on the external environment. A meta-analysis published in 2018 concluded that for mild to moderate depression, the effects of exercise are comparable to those of antidepressants and psychotherapy, and for more severe depression, exercise is a valuable complement to conventional treatments [67]. Collectively, these results suggest that increased daily activity, including exercise, may have a positive impact on mental health apart from exposure to green space and sunlight in the external environment that has been previously reported. It is also possible that factors inhibiting sun exposure and exercise may include the indoor working environment and the working hours during the day. Thus, increased flexibility in working hours may play an important role in improving mental health.

4.3. Relationship between Mixture of Internal/External Factors and Mental Health

On the other hand, as we summarized in Table 3, a mixture of internal factors such as physical activity as well as specific external environmental factors such as walking activity in rural areas and green spaces decreases stress and negative emotions [40,45,47,59], increases memory performance [29,53], promotes emotional and cognitive recovery [53], and decreases activity in brain regions associated with mental illness [11]. Furthermore, a study by Shanahan et al. [50] showed that visiting a green space at least once a week for an average of 30 min or more can prevent depression by up to 7%, suggesting that daily habits such as frequent visits to green spaces may reduce the risk of developing depression.
In addition, an exercise experiment [9] conducted under the condition of viewing images of a cycling course rather than an actual green space reported less mood disturbance and perceived exhaustion compared to the achromatic or red filtered image condition, indicating that green-related visual stimuli may also have a synergistic effect on the anti-stress effects of exercise. Other studies using light stimuli have also shown that exposure to green or blue light reduces anxiety [68] and increases calmness [69], suggesting a close relationship between light exposure and mental health. Therefore, moderate exercise in specific external environments or environments that mimic external environments may play an important role in the maintenance and improvement of mental health. Furthermore, with respect to external environmental factors, light stimulation at specific wavelengths may serve as a key to the effects on mental health. In addition, interestingly but paradoxically, living in a walkable neighborhood was associated with a slightly higher diagnosis of depression and level of antidepressant use, and walkability was associated with greater depressive symptoms in more deprived neighborhoods. While dense urban environments may provide opportunities for physical activity, they may also increase exposure to noise, air pollution, and social stressors, which may increase levels of depression [30].
Future directions: High intensity light therapy with white light has been used mainly for seasonal affective disorder, and further, previous studies [70,71] have shown that such light therapy is also useful for non-seasonal depression. For example, previous studies that examined the effects of blue light on sleep, memory, and emotion have shown beneficial influences [72,73]. At the same time, however, a review conducted by Bauer et al. reported that blue light may also interfere with sleep [74]. Furthermore, violet light stimulation was found to improve cognitive function in aged mice and to ameliorate depression-like symptoms in mice induced by social defeat stress [75]. Specifically, since violet light is not contained in fluorescent lamps or white LEDs, it is necessary to examine in detail the effects of blue light or violet light among the visible light with shorter wavelengths on mental health. Thus, as a rational and feasible intervention method for maintaining and improving people’s mental health in the post-COVID-19 era of the new normal, applications such as neuromodulation using light stimulation that mimics natural light could be expected in the future.
There were several limitations in this study. First, this review was not able to conduct a meta-analysis because there were no quantifiable measures that were commonly used in each study. In addition, since various potential confounding factors, such as individual genetic background, lifestyle, health care system and its level in each country, and air pollution in each region, may be involved in most of the included studies in this review, the studies must inevitably be interpreted qualitatively from a macroscopic perspective. In fact, it is difficult to strictly control the potential confounding factors in the real-world setting. In the future, it is necessary to investigate, for example, whether non-invasive light stimulation with specific wavelengths is clinically useful for maintaining and improving people’s mental health using randomized controlled trials with sufficient sample size.

5. Conclusions

This study systematically reviewed the effects of exposure to sunlight and green spaces and physical activity on people’s mental health. The results showed that exposure to sunlight, exposure to and use of green spaces, and physical activity each positively affected mental health. The use of green space was also associated with exposure to sunlight and promotion of physical activity, suggesting that internal factors as represented by moderate physical activity under specific external conditions or in an environment that mimics the external environment may contribute to further improvement of mental health.

Author Contributions

Conceptualization, Y.N. and K.T. (Keita Taniguchi); methodology, Y.N.; validation, K.T. (Keita Taniguchi); formal analysis, K.T. (Keita Taniguchi); investigation, K.T. (Keita Taniguchi), M.T. and Y.T.; data curation, K.T. (Keita Taniguchi); writing—original draft preparation, K.T. (Keita Taniguchi) and Y.N.; writing—review and editing, S.N., M.H., M.M., K.T. (Kazuo Tsubota) and Y.N.; visualization, K.T. (Kazuo Tsubota); supervision, Y.N.; project administration, Y.N. All authors have read and agreed to the published version of the manuscript.


This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.


Y.N. received a Grant-in-Aid for Scientific Research (B) (21H02813) from the Japan Society for the Promotion of Science (JSPS), research grants from Japan Agency for Medical Research and Development (AMED), investigator-initiated clinical study grants from TEIJIN PHARMA LIMITED (Tokyo, Japan) and Inter Reha Co., Ltd. (Tokyo, Japan). Y.N. also received research grants from Japan Health Foundation, Meiji Yasuda Mental Health Foundation, Mitsui Life Social Welfare Foundation, Takeda Science Foundation, SENSHIN Medical Research Foundation, Health Science Center Foundation, Mochida Memorial Foundation for Medical and Pharmaceutical Research, Taiju Life Social Welfare Foundation, and Daiichi Sankyo Scholarship Donation Program. Y.N. received speaker’s honoraria from Dainippon Sumitomo Pharma, MOCHIDA PHARMACEUTICAL CO., Ltd. (Tokyo, Japan), Yoshitomiyakuhin Corporation, and TEIJIN PHARMA LIMITED within the past three years. Y.N. also received equipment-in-kind support for an investigator-initiated study from Magventure Inc. (Farum, Denmark), Inter Reha Co., Ltd., Brainbox Ltd. (Cardiff, United Kingdom), and Miyuki Giken Co., Ltd. S.N. received a Grant-in-Aid for Young Scientists A and Grants-in-Aid for Scientific Research B and C from JSPS, and research grants from Japan Research Foundation for Clinical Pharmacology, Naito Foundation, Takeda Science Foundation, Uehara Memorial Foundation, and Daiichi Sankyo Scholarship Donation Program within the past three years. S.N. also received research support, manuscript fees or speaker’s honoraria from Dain-ippon Sumitomo Pharma, Meiji-Seika Pharma, Otsuka Pharmaceutical, Shionogi, Yoshitomi Yakuhin, Qol Co., Ltd., TEIJIN PHARMA LIMITED, and Takeda Pharmaceutical Company Limited within the past five years. M.M. received grants and/or speaker’s honoraria from Asahi Kasei Pharma, Astellas Pharma, Daiichi Sankyo, Sumitomo Dainippon Pharma, Eisai, Eli Lilly, Fuji Film RI Pharma, Janssen Pharmaceutical, Kracie, Meiji-Seika Pharma, Mochida Pharmaceutical, Merck Sharp and Dohme, Novartis Pharma, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Shionogi, Takeda Pharmaceutical, Mitsubishi Tanabe Pharma, and Yoshitomi Yakuhin.

Conflicts of Interest

The authors declare no conflict of interest.


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Figure 1. PRISMA diagram for scoping review.
Figure 1. PRISMA diagram for scoping review.
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Figure 2. Graphical summary of this review: those that show a positive impact on mental health are marked with a symbol of +, while those that have a negative impact are marked with a symbol of −.
Figure 2. Graphical summary of this review: those that show a positive impact on mental health are marked with a symbol of +, while those that have a negative impact are marked with a symbol of −.
Psychiatryint 03 00008 g002
Table 1. External factors including living environment and daylight hours.
Table 1. External factors including living environment and daylight hours.
Authors, YearCountries Where the Study Was ConductedStudy DesignPopulation (Diagnosis)Sample Size (Numbers of Males/Females)Mean Age (S.D.)Clinical MeasuresKey Findings
Living environment
Liu et al., 201929 provinces in China (excluding Hong Kong, Macao, Taiwan, Tibet and Hainan)A cross–sectional studyAll randomly selected households aged 15–64 and those aged 65 and older who are at work.n = 20,533
44.81 yearsCES–D Scale
Exposure to greenery in the neighborhood is negatively associated with residents’ levels of depressive symptoms. The salutogenic effect is weaker in less urbanized areas, as recreational use of green space is more salutogenic than agricultural use.
Dean et al., 2018Brisbane, Queensland, AustraliaA cross–sectional studyPeople between 18 and 70 years of age who responded to Q&A Market Research Ltd. (Brisbane, Australia) conducted in November 2012 (late spring).n = 1538
<45 years = 952 ≧ 45 years = 586Nature Relatedness Scale
The nature relatedness orientation in which people feel pleasure in spending time in natural settings showed particular promise as a potential protective factor against high levels of depression, anxiety and poor self-reported health.
Shanahan et al., 2016Victoria, AustraliaA cross–sectional studyBrisbane residents aged 18–70 yearsn = 1538N/AIRSDThose who frequented green spaces were found to have lower rates of depression and hypertension, and higher levels of social cohesion.
Daniel T.C. Cox et al., 2017Southern England, UKA cross–sectional studyAdults enrolled in the database of a lifestyle survey delivered online through a market research company.n = 1023N/AShort version of the DASSThe more frequency and time spent in familiar nature, the better mental health, social health, positive physical behaviors, and nature orientation were found to be. In addition, people living in areas with more greenery were found to have lower levels of depression and a stronger nature orientation.
Pun et al., 2018USAA longitudinal studyOlder adults (57–85 years) without cognitive impairment living in the United States.n = 4118
70.2 ± 7.9 years
7-item HADS-A
Those who had higher socioeconomic status (SES) and were more active were more likely to have mental health scores associated with greenness. There was a direct association of greenery with perceived stress among older adults, and an indirect association mediated through physical activity and respiratory disease history.
Merja., 2018Jyväskylä, FinlandA cross–sectional study75–90 year old peoplen = 848
80.6 ± 4.2 yearsCES–D ScaleThis study shows that nature diversity is associated with better quality of life in old age. The quality of the green infrastructure and adding natural elements to residential areas would appear to be beneficial for well-being among older people.
Kyoungbok et al., 2017Seoul, South KoreaA cross–sectional studyThe data from the 2009 Korean Community Health Survey (KCHS), which was conducted by the Korea Centers for Disease Control and Prevention.n = 169,02920–29: 27.05 ± 12.36 years
30–39: 39.01 ± 18.23 years
40–49: 46.01 ± 31.65 years
50–59: 39.90 ± 18.20 years
> 60: 66.08 ±30.20 years
CES–D ScaleThere were protective associations between parks and green areas and depression and suicidal indicators.
Debarati et al., 2017Bangalore, IndiaA cross–sectional studyNon–pregnant adults aged ≥ 20 yearsn = 1208N/AMINIThe presence of a large park in the immediate vicinity of an individual’s residence is associated with a lower likelihood of current major depression in the vulnerable subpopulation of having an existing chronic condition.
Li et al., 2019Wuhan city and Jianli county, Hubei Province, ChinaA cross–sectional studyThree middle school students in Wuhan City and four in Jianli County.n = 3605
Rural students = 1731
Urban students = 1874
13 years (13–14)CES–D Scale
The socio-demographic characteristics of rural and urban areas differed in adolescent depression. However, there was no significant difference in the rate of depression.
Tan et al., 2013Peninsular MalaysiaA cross-sectional studyMalaysian residents of an urban poor community in Section 8 Kota Damansara district in Selangor, Peninsular Malaysia.n = 301
35.9 ± 13.3 yearsPHQ–9The prevalence of depression among the urban poor was significantly associated with individuals under 25 years old, male gender, living in the area for less than four years and those who do not exercise regularly.
Sung., 2017Jeonju, KoreaA longitudinal studyCommunity dwelling Korean who lived in 15 large administrative areasn = 7029
53–60 years, n = 2825
61–70 years, n = 2207
71–80 years,
n = 146
281–105 years, n = 535
CES–D ScaleResidents of mid-sized cities or rural areas were more likely to have depressive symptoms than residents of metropolitan areas. Elderly adults who have grown up in a rural area might be more likely to be poorly educated.
Murayama et al., 2019Gunma Prefecture, JapanA cross-sectional studyResidents of a small town in the mountains who underwent a health examination.n = 91
Unknown = 54
Male = 61.3 ± 12.8 years
Female = 59.8 ± 14.1 years
THI–D ScaleIn depopulated areas where there were many elderly people, many people did not have access to necessary medical care, and their diseases tended to progress.The suicide rate in the target town was higher than the Japanese national average and those of urban areas in the same prefecture.
Deng et al., 2018ChinaA cohort studyChinese residents age 45 or older and their spouses.n = 5949
Rural = 3307
Urban = 2242
44–45 years, n = 1971
55–64 years, n = 2227
65–74 years, n = 1239
75 years and above, n = 512
10–item version of the CES–D ScaleDifficulties in performing functional health tasks were associated with high occurrence of depressive symptoms, suggesting that functional difficulties and depressive symptoms were comorbid syndromes in both rural and urban residents.A negative direct association was found between the availability of recreational facilities and depressive symptoms. In urban areas, the availability of recreational facilities was positively associated with LTPA, but not in rural areas.
Daylight hours
Burns et al., 2021UKA cross-sectional and longitudinal studyUK residents recruited via National Health Service patient registry between 2006 and 2010.n > 502,00030–37 yearsIPAQLonger exposure to outdoor light during the day was found to be associated with fewer depressive symptoms, lower odds of using antidepressants, lower odds of recurrence of major depression over a lifetime, easier to wake up in the morning, less fatigue, better sleep, and earlier time type. These relationships were maintained longitudinally.
Brown et al., 2011Eight European citiesA cross–sectional studyData of the LARES study, a cross–sectional survey to improve knowledge of the impact of housing on the physical well-being and mental health of residents.n = 6017
Patients with depression = 784
Participants with falls = 450
18 years of age or olderDiagnostic and Statistical Manual of Mental Disorders criteria for major depressionParticipants reporting inadequate natural light in their dwellings were 1.4 times as likely to report depression and 1.5 times as likely to report a fall compared with those satisfied with their dwelling’s light.
Sarran et al., 2017Groningen, NetherlandsA cohort studyPeople diagnosed with SAD.n = 291NADSM–IV
It was strongly suggested that the level of serotonin played a role in the presence of seasonal depression. Sunlight intensity, rather than sunshine duration, may have been associated with depressive symptoms.
Kim et al., 2021KoreaA cohort studyAbout 10 percent of those who received a medical checkup between 2002 and 2003, randomly selected by the National Health Insurance Service in Korea.Depression: n = 25,589 (10,119/15,470)
Control: n = 102,356 (40,476/61,880)
40 years and olderICD–10Reduced sunlight exposure was related to an increased risk of depression.
Wang et al., 2019ChinaA cross–sectional studyThey were randomly selected based on data from the 2016 China Labor-force Dynamics Survey.n = 20,861
44.38 yearsCES–D ScalePM2.5 levels were found to be significantly associated with depression, and PM2.5 concentrations moderated the negative relationship between physical activity, reciprocity with neighbors, and exposure to sunlight and depression.
Canazei et al., 2017Hall, AustriaA balanced cross–over designInpatients who were assessed by ICD–10 diagnoses.n = 21
70.1 ± 5.6 yearsICD–10
KUSTA scales
Exposure to artificial sunlight resulted in a subjective sedative effect over time, in addition to a decrease in heart rate and an increase in vagal tone.
Thomas, Anouti., 2018United Arab EmiratesA pilot studyCollege women with United Arab Emirates nationality.n = 114
20.83 ± 3.98 yearsBDI–II
While it is not yet possible to determine the exact nature of the relationship between depression and VTD deficiency, it has been shown that focusing on depressive symptoms and VTD deficiency simultaneously can result in improvements in both areas.
Song et al., 2015Seoul, KoreaA cross–sectional studyParticipants aged 65 years or older from urban and rural communitiesn = 2853
71.9 ± 4.6 years
Male: 72.8 ± 4.6 years
Female: 71.4 ± 4.5 years
GDS–SF–KThe results suggest that low 25(OH)D levels are independently associated with depressive symptoms in the elderly in Korea.The association between serum 25(OH)D and depressive symptoms was stronger in men than in women.
Milaneschi et al., 2013NetherlandsA cohort studyPeople aged 18 to 65 years recruited as part of the Netherlands Study of Depression and Anxiety between 2004 and 2007.n = 2386
Remitted Depressive disorders = 790
Current Depressive disorders = 1102
Controls = 494
41.7 ± 12.9 years
As compared with controls, lower 25(OH)D levels were found in participants with current depression, particularly in those with the most severe symptoms.
Living environment and daylight hours
Beute, Kort., 2018NetherlandsA longitudinal studyCaucasians between the ages of 20 and 60 recruited through a brochure distributed at the psychiatric clinic and a local participant database.n = 59
33.0 ± 13.71 yearsBDI
Thayer Activation–Deactivation checklist
UWIST Mood Adjective Checklist
There was no effect of affective state on the amount of nature and daylight exposure. The amount of nature was significantly and negatively related to mental activity.
Mihyang et al., 2016MI, USAA cross–sectional studyEmployees recruited through an online panel.n = 391
31 ± 9.77 yearsCES–D ScaleNatural elements and sunlight exposure related positively to job satisfaction and organizational commitment, and negatively to depressed mood and anxiety.
CES-D: Centre for Epidemiology Studies of Depression; CLDS: China Labor-force Dynamics Survey; DASS: depression anxiety stress scales; IRSD: Index of socioeconomic disadvantage; PSS: Perceived Stress Scale; FADS-A: hospital anxiety and depression scale-anxiety subscale; MINI: Mini-international neuropsychiatric interview; GPAQ: global physical activity questionnaire; PHQ: patient health questionnaire; THI-D: total health index-depression; IPAQ: international physical activity questionnaire; BDI: Beck depression inventory; IDS-SR: inventory of depressive symptomatology, self-rating version; SEBA: sun exposure and behavioral activation; GDS-SF-K: Korean version of the geriatric depression scale-short form; CIDI: composite interview diagnostic instrument; IDS: inventory of depressive symptoms; EMA: ecological momentary assessment; ESM: experience sampling methodology.
Table 2. Internal factors including lifestyle and physical activity.
Table 2. Internal factors including lifestyle and physical activity.
Authors, YearCountries Where the Study Was ConductedStudy DesignPopulation (Diagnosis)Sample Size (Numbers of Males/Females)Mean Age (S.D.)Clinical MeasuresKey Findings
Wang et al., 2018Jinan, ChinaA cross–sectional studyUrban dwellers aged 50 years and older, randomly selected from six municipalities in Jinan, China.n = 1604
Males: 64.44 years
Females: 63.37 years
no depression = 83.48 %
minor depression = 13.72 %
medium depression = 2.56 %
major depression = 0.24 %
Physical exercise was significantly associated with depression when adjusted for age, gender, marital status, BMI, hypertension, PDM, TG, TC, soy food intake, milk food intake, vegetable and fruit intake, and meat intake. Furthermore, frequency of physical exercise more than three times per week was associated with a lower prevalence of depression.
Lee et al., 2018Taipei, TaiwanA cross–sectional studyOlder adults selected from the 2011 Survey of Health and Living Status of the Middle-Aged and Elderly in Taiwan, conducted by the Ministry of Health and Welfare, Taipei, Taiwann = 3727
69.04 ± 8.86 yearsCES–D ScaleParticipation in leisure activities was found to reduce the probability of having depression, and the more varied the leisure activities, the lower the risk of depression. Older women had a higher incidence of depression than men, and low income satisfaction was associated with a higher probability of depression regardless of gender and age.
Wang et al., 2021Jinan, ChinaA cross–sectional study(1) aged 45 years or older, (2) able to answer the questions in the questionnaire and (3) have lived in the selected communities for more than half a year in the past year.n = 1406
64.11 yearsSDSParticipation in regular physical activity was negatively correlated with depression.
Julien et al., 2013EstoniaA longitudinal studyOlder adult residents of Estonian = 195
72.1 ± 2.1 years
(70 years of age or older)
One question taken from the PASE
Depressive symptoms predicted walking at subsequent time points (higher depressive symptoms were related to fewer walking steps), and walking predicted depressive symptoms at subsequent time points (higher walking steps were related to lower depressive symptoms).
Jo et al., 2021Wonju and Pyeongchang, KoreaA cohort studyAdults aged 20 years and older who participated in the Korean General Population.<50 years, n = 517
50 to <60 years, n = 718
≧ 60 years, n = 653
Standardized lifestyle questionnaire on LTPA
Meeting the recommended minimum dose of 7.5 metabolic equivalents hours per week was found to reduce depressive symptoms, and this relationship was more pronounced in women. Vigorous-intensity LTPA was also more effective in reducing depressive symptoms than moderate-intensity LTPA, although the difference was not statistically significant.
Haider et al., 2021AustriaA cross–sectional studyPeople over the age of 18 who are self-isolated due to the COVID–19 pandemic.n = 652
36.0 ± 14.4 yearsSWEMWBS
Those doing enough hours of moderate-to-vigorous physical activity (MVPA) per day had a significantly higher percentage of respondents who reported no symptoms of depression or anxiety. Furthermore, MVPA of less than 10 h per day was negatively correlated with depression and not statistically significantly correlated with anxiety or loneliness. Similar results were obtained for outdoor activities of 60 min or more per day.
Buchan et al., 2021British Columbia and Alberta and Ontario and Quebec, CanadaA cohort studySecondary school students who participated in the COMPASS Study.n = 23,395
14–18 yearsCESD–R–10The association between physical activity and symptoms of depression and anxiety was found to be non-bidirectional. By gender, increased moderate-to-vigorous physical activity (MVPA) was associated with decreased anxiety and depressive symptoms in men, while increased MVPA was associated with increased anxiety symptoms in women.
Macgregor et al., 2019Kingston, Ontario, CanadaA cross–sectional studyPeople who were sampled proportionally from 12 constituencies in Kingston in 2015–2016.n = 385
11.5 ± 1.1 yearsA unique questionnaire based on seven items to assess anxiety and depression.Time spent in the four types of physical activity, including all exercise intensities, was associated with mental health indicators. These results were consistent with the general notion that devoting more time to physical activity is helpful for children’s health.
Kleppang et al., 2018Hedmark, Opplan, Ostfold and Akershus, NorwegianA cross-sectional studyNorwegian adolescents as extracted from Ungdata surveys data.n = 4970
15–16 yearsHopkins Symptom ChecklistParticipation in sports club was associated with significantly lower odds of depression. Adolescents who engaged in individual physical activity also had a higher prevalence of depression than those who participated in sports clubs.
Abe et al., 2019Shimane Prefecture, JapanA cross–sectional study2814 adults who participated in a health checkup in Shimane Prefecture in 2012.n = 1958
59 years and below, n = 213
60–69 years, n = 737
70–79 years, n = 890
80 years and above, n = 118
Japanese short version of the International Physical Activity Questionnaire
The combination of adequate moderate-to-vigorous physical activity (MVPA) and low sedentary time (ST) was associated with the lowest risk of depressive symptoms among Japanese rural adults. Moderate ST and low ST were significantly associated with fewer depressive symptoms, regardless of insufficient MVPA.
Hahn et al., 2011Arhus, DenmarkA cross–sectional studyCivil servants from Arhus, Denmark, who participated in a survey in January–February 2009.n = 644
Control group = 222
Mental symptoms group = 422
N/ACommon Mental Disorder Questionnaire
Perceived Stress Scale
Copenhagen Burnout Inventory
Outdoor work during the winter season had a gainful effect on mood but not on depression.
Xu et al., 2015NY, USAA cross–sectional studyChinese college students from Guangzhou, Southern Chinan = 1907(890/1017)19.5 ± 2.4 yearsCES–D ScaleLower quality and duration of sleep, less physical and outdoor activity, and less frequent eating of breakfast were significantly associated with higher depression scores on the CES-D.
Nam et al., 2017South KoreanA cross–sectional studyAdults aged 20 years and older who participated in the second year (2014) of the 6th Korean National Health and Nutrition Examination Survey conducted by the Korea Centers for Disease Control and Prevention in Korea.n = 4145
MDD, n = 433
20–29 years, n = 422
30–39 years, n = 753
40–49 years, n = 728
50–59 years, n = 806
60–69 years, n = 758
70 years and above, n = 678
In Korean adults, prolonged sitting was shown to be associated with an increased risk of MDD.
Vancampfort et al., 2018GSHS Participating CountriesA cross–sectional studyData for students aged 13–15 years in the Global School–based Student Health Survey.n = 7077
13.8 ± 0.9 yearsThe question of “During the past 12 months, did you ever feel so sad or hopeless almost every day for two weeks or more in a row that you stopped doing your usual activities?”Multinational evidence suggests that there is a relationship between sedentary behavior and depressive symptoms in adolescents, irrespective of physical activity level.
Pengpid and Peltzer., 2019Myanmar and VietnamA cross–sectional studyOutpatients with chronic diseases over 18 years old in rural and urban primary health facilities.n = 3201
Myanmar = 1600
Vietnam = 1601
51 yearsGPAQ
Higher sedation time increased the odds of anxiety and depression.
Moderate to high physical activity decreased the odds of anxiety and depression.
Khouja et al., 2019Bristol, EnglandA prospective cohort studyPregnant mothers who were expecting a baby between April 1, 1991 and December 31, 1992.n = 1869
25 years and below, n = 173
25–29 years, n = 694
30 years and above, n = 1002
There was a positive relationship between computer use at age 16 and depression two years later, especially with time spent on the computer on weekends. There was little association between time spent watching television or time spent texting and depression.
Kojima et al., 2018Yamanashi Prefecture, JapanA longitudinal studyJunior high school students who conducted a descriptive survey each year from 2014 through 2016.n = 2887
2014, n = 979
2015, n = 968
2016, n = 940
12–15 yearsDSRS
OD Symptom Items
Problematic Internet use decreases sleep, study time, and exercise time, and is associated with depressive and OD symptoms.
SDS: self-rating depression scale questionnaires; GDS: geriatric depression scale; PASE: physical activity scale for the elderly; SWEMWBS: Warwick-Edinburgh mental well-being scale short form; BAI: Beck anxiety inventory; TILS: three item loneliness scale; CIS-R: revised clinical interview schedule; DSRS: depression self-resting scale; IAT: Internet addiction test; OD: orthostatic dysregulation.
Table 3. Mixture of internal and external factors.
Table 3. Mixture of internal and external factors.
Authors, YearCountries Where the Study Was ConductedStudy DesignPopulation (Diagnosis)Sample Size (Numbers of Males/Females)Mean Age (S.D.)Clinical MeasuresKey Findings
Berman et al., 2012Ann Arbor, Michigan, USAAn intervention studyIndividuals who were recruited from the University of Michigan and the greater Ann Arbor area (major depressive disorder)n = 20
26 yearsPANAS
BDS task
Working-memory capacity and positive affect improved to a greater extent after the nature walk relative to the urban walk.
Marselle et al., 2019England, UKCase–control studyPeople aged 18 years and older who have participated in at least one WfH woking activity in a natural environment in the last three months.n = 1516
Nature Group Walkers = 1081
Comparison Group = 435
N/A10–item Perceived Stress Scale
10–item Major Depressive Inventory
14–item Warwick Edinburgh Mental Well–being Scale
There was no significant interaction between group walks in nature and recent stressful life events.However, Frequent participation in nature group walks reduced perceived stress, depression, and negative affect, and increased positive affect.
Song et al., 2019JapanAn intervention studyFemale college students with no history of physical or mental illness.n = 7221.0 ±1.3 yearsPOMS
Brief walks in the forest increased parasympathetic activity and decreased sympathetic activity in young women.It also lowered anxiety levels and improved mood states more than walking in urban areas.
Song et al., 2015Chiba, JapanA Pilot StudyJapanese men, including those with hypertensionn = 1558.0 ±10.6 yearsHRVA brief walk in the forest elicited physiological and psychological relaxation effects on middle-aged hypertensive individuals.
Bratman et al., 2015Stockholm, SwedenA cross–sectional studyHealthy participants with no history of mental disordern = 38A nature walk = 26.9 years
A urban walk = 27.2 years
The Perceived Restorativeness ScaleThe 90-min nature observation experience reduced rumination and activation of sgPFC.
Marselle et al., 2013EnglandA cross–sectional studyParticipants in a WfH walking group in 2011n = 708 (269/439)
Walkers in natural environments = 508
Walkers in urban environments = 160
Mixture = 40
55 years or older (92%)WEMWBS
Compared to group walks in urban environments, group walks in farmland were significantly associated with less perceived stress and negative affect, and greater mental well-being. Group walks in green corridors were significantly associated with less perceived stress and negative affect. There were no significant differences between the effect of any environment types on depression or positive affect.
Roe et al., 2011ScotlandA cross–sectional studyAdults who were able to take part in a walks in the central belt of Scotland.n = 123
Good mental health group = 83
Poor mental health group = 40
Good mental health group = 50 years
Poor mental health group = 44 years
MACL 5–item Personal Project Scale
Shortened version of the Rosenberg Self–Esteem Scale
Both health groups were consistently and significantly (po0.05) positively changed by the walk. This was especially more favorable for the poor mental health group.
Adults who were able to take part in a rural walks in Plean Country Park, Stirlingshire and an urban walk n Stirling town centre.n = 24
Good mental health group = 11
Poor mental health group = 13
Good mental health group = 46 years
Poor mental health group = 35 years
Outcomes in the good health group were with significant positive change to mood from the rural walk and, by contrast, no significant positive change from the urban walk. Both an urban and rural walk produced significant positive change in the poor health group across a series of mood and mindset variables.
Orstad et al., 2020New York City, USAA cross–sectional studyAdult residents of NYC who were able to walk more than ten feet.n = 3652
18 years of age or olderGPAQThose who engaged in physical activity in the park more frequently had fewer days of mental distress in the past month. Living closer to the park was indirectly and significantly associated with less mental distress.
Deng et al., 2018ChinaA cohort studyChinese residents age 45 or older and their spouses.n = 5949
Rural =3307
Urban =2242
44–45 years, n = 1971
55–64 years, n = 2227
65–74 years, n = 1239
75 years and above, n = 512
10–item version of the CES–D ScaleDifficulties in performing functional health tasks were associated with high occurrence of depressive symptoms, suggesting that functional difficulties and depressive symptoms were comorbid syndromes in both rural and urban residents.A negative direct association was found between the availability of recreational facilities and depressive symptoms. In urban areas, the availability of recreational facilities was positively associated with LTPA, but not in rural areas.
Barton et al., 2012United KingdomA clinical trialMind group members experiencing a range of mental health problemsn = 53 (20/33)
Green exercise group = 24
Swimming group = 14
Social activities group = 15
53 ± 15.4 years
Male = 21–82
Female = 27–83
The 30–item shortform version of the POMS questionnaire
All groups combined experienced significant improvements in SE and TMD after participating in a single session.
James et al., 2015Southeastern
A cohort studylow-income, racially diverse individuals across the Southeastern U.S.n = 73,22552.0 ± 8.7 yearsCES–D ScaleIn the most disadvantaged areas, there is an association between the degree of walkability and the odds of depressive symptoms.
Akers et al., 2012United KingdomA longitudinal studyHealthy male with normal color visionn = 14
20.7 ± 1.5 yearsBorg 6–20 fifteen-point RPE scale
Shortform version of the POMS questionnaire
Total mood disturbance and perceived exertion were lower during simulated green exercise during which hey were required to watch a video of a “green outdoor environment” cycling course (VGREEN) compared to the same footage presented achromatically(VGRAY) or using a red filter (VRED).
PANAS: positive and negative affect schedule; BDS: backward digit span; LTE–Q: list of threatening experiences questionnaire; WfH: walking for health; POMS: profile of mood states; STAI: state-trait anxiety inventory; HRV: heart rate variability; MDI: major depressive inventory; PSS: perceived stress scale; UWIST: shortened version of the University of Wales Institute of Science and Technology; MACL: mood adjective checklist; RSE: Rosenberg self-esteem scale; RPE: rating of perceived exertion scale.
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Taniguchi, K.; Takano, M.; Tobari, Y.; Hayano, M.; Nakajima, S.; Mimura, M.; Tsubota, K.; Noda, Y. Influence of External Natural Environment Including Sunshine Exposure on Public Mental Health: A Systematic Review. Psychiatry Int. 2022, 3, 91-113.

AMA Style

Taniguchi K, Takano M, Tobari Y, Hayano M, Nakajima S, Mimura M, Tsubota K, Noda Y. Influence of External Natural Environment Including Sunshine Exposure on Public Mental Health: A Systematic Review. Psychiatry International. 2022; 3(1):91-113.

Chicago/Turabian Style

Taniguchi, Keita, Mayuko Takano, Yui Tobari, Motoshi Hayano, Shinichiro Nakajima, Masaru Mimura, Kazuo Tsubota, and Yoshihiro Noda. 2022. "Influence of External Natural Environment Including Sunshine Exposure on Public Mental Health: A Systematic Review" Psychiatry International 3, no. 1: 91-113.

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