Exposure to natural environments is associated with a lower risk of common mental health disorders (CMDs), such as depression and anxiety, but we know little about nature-related motivations, practices and experiences of those already experiencing CMDs. We used data from an 18-country survey to explore these issues (n = 18,838), taking self-reported doctor-prescribed medication for depression and/or anxiety as an indicator of a CMD (n = 2698, 14%). Intrinsic motivation for visiting nature was high for all, though slightly lower for those with CMDs. Most individuals with a CMD reported visiting nature ≥ once a week. Although perceived social pressure to visit nature was associated with higher visit likelihood, it was also associated with lower intrinsic motivation, lower visit happiness and higher visit anxiety. Individuals with CMDs seem to be using nature for self-management, but ‘green prescription’ programmes need to be sensitive, and avoid undermining intrinsic motivation and nature-based experiences.
There is considerable evidence that contact with (safe) natural environments such as parks and woodlands (green spaces), and rivers and lakes (blue spaces), can reduce the risk of onset of common mental health disorders (CMDs) such as depression and anxiety1. This may, in part, be because contact with the natural world is intrinsically motivating2,3, i.e. enjoyable for its own sake4, and can both reduce negative emotions and increase positive ones5. However, we know relatively little about the everyday nature-related motivations, practices and experiences of those who are already experiencing CMDs. Is nature contact only good for reducing the risk of onset, or can it also help management and recovery? ‘Green care’6 and ‘green prescription’7 initiatives suggest that it might, but evidence draws largely on small-scale studies using self-selected samples8. As far as we are aware, there has been no large-scale examination looking at everyday green/blue space experiences by individuals currently experiencing CMDs. The current research aimed to explore these issues.
CMDs were the leading cause of disability in 2015, with depression accounting for around 50 million person years lived with disability (YLD) and anxiety around 25 million YLDs, globally9. Although a range of treatments are available, individuals face challenges getting access to, and/or responding to treatment, including limited availability of face-to-face psychotherapy, potential side-effects of medication, and stigma10. The need for safe, complementary approaches, with a low risk of side effects is widely acknowledged11. Evidence suggests that contact with nature might be able to be part of a package of complementary treatments, at least for some individuals.
Analysis of longitudinal data suggests people experience less psychological distress in years when they are living in greener urban areas12. This is supported by cross-sectional findings revealing positive associations between greener urban areas and lower antidepressant prescription rates13. Experimental studies find that people with CMDs get more symptom relief from a walk in natural rather than urban settings14,15. ‘Green care’ initiatives, including horticultural therapy, care farming, and wilderness therapy, and ‘blue care’ initiatives such as outdoor swimming and surfing, have reported similar benefits6,16. Consequently, there is growing interest in ‘green prescriptions’, where health care practitioners refer CMD patients to accredited blue/green care protocols, or simply recommend spending more time in nature17.
These schemes remain relatively small-scale, however, due to concerns about acceptability, feasibility, and generalisability of benefits beyond self-selected individuals7. A key aspect of depression is a ‘motivation deficit’, i.e. a difficulty in engaging in everyday activities or trying new things18, and thus it may be hard to encourage individuals to start visiting nature or maintain regular contact, despite being intrinsically motivated2. Similarly, a feature of various anxiety disorders, and sometimes depression, is ‘experiential avoidance’ where individuals try to avoid potentially anxiety-inducing thoughts, feelings, and/or activities19. Since public green/blue spaces may present unpredictable environmental and/or social circumstances, people with some CMDs (e.g. agoraphobia) may wish to avoid these settings, again, despite being intrinsically motivated. Given that both motivational deficit and experiential avoidance have affected the success of programmes to promote physical activity among individuals with CMDs20, these experiences may also undermine the success of green prescription initiatives.
Further, according to self-determination theory (SDT), feeling pressured to engage in activities by others can undermine intrinsic motivation21,22. Thus, feeling pressured to visit nature by friends/family, or more formally by a ‘green prescription’ from a medical professional, may be inadvertently detrimental. In the framework of SDT, there may be a shift from visiting nature because it is intrinsically enjoyable and fun, to visiting because of an internalised desire to meet the expectations of others21. In turn, this can lead to increased feelings of anxiety, especially if individuals feel they are failing to live up to these expectations23.
The current study used data from an 18-country survey on recreational contact with green/blue spaces to explore these issues. Individuals with CMDs were identified based on self-reported medication use. Further questions asked about intrinsic motivations to spend time in nature, recreational green/blue space visit frequency, experiences of the most recent visit, and perceived social pressure to spend time in nature. The survey was part of an international project that had a particular focus on blue spaces24, so while recreational nature visit frequency spanned both green and blue spaces, the specific visit was concerned only with the most recent blue space visit.
We tested the following hypotheses (H):
Intrinsic motivation Individuals will believe time in nature to be intrinsically motivating (H1a). However, given general motivational deficits among people with CMDs, their levels of intrinsic motivation will be lower than for people without CMDs (H1b).
Nature visit frequency Given potential experiential avoidance, nature visit frequency will be lower for people with, versus without, CMDs (H2).
Blue space visit wellbeing Blue space visits will be associated with high levels of positive emotions (e.g. happiness, H3a), and low levels of negative emotions (e.g. anxiety, H3b), for people both with and without CMDs. However, given motivational deficits, happiness levels will be relatively lower (H3c), and anxiety levels relatively higher (H3d) among people with, versus without, CMDs.
Perceived social pressure Perceived social pressure will moderate outcomes such that the greater the perceived pressure, the lower intrinsic motivation (H4a), the less likelihood of visiting nature regularly (H4b), and the lower happiness (H4c) and greater anxiety (H4d) on recent blue space visits.
Table 1 presents descriptive statistics. There were n = 2,698 (14%) respondents who reported having at least one CMD, slightly below the 17% annual figure25. This is likely due to the fact we focused on medication use as a proxy for CMD, and current rather than annual rates. In terms of specific conditions the frequencies were: depression (only) n = 910 (4.8%); anxiety (only) n = 1013 (5.4%); both depression and anxiety n = 775 (4.1%). Supporting Hypothesis 1a, intrinsic motivation to spend time in nature, for the sample as a whole, was significantly above the mid-point of 4 (M = 5.80, SD = 1.36), t(18,837) = 181.60, p ≤ 0.001, 95% CI = [1.78, 1.82], Cohen’s d = 1.32. This was true of all four groups (i.e., depression, anxiety, both, neither), all ts > 28.23; all ps < 0.001; all ds > 1.01. In terms of visit frequency, more than half of all participants in each of the four groups reported visiting nature ≥ once a week (differences between groups, i.e. Hypothesis 2, are tested below). Supporting Hypothesis 3a, overall sample happiness during the last visit was also significantly above the mid-point of 4 (M = 5.81, SD = 1.11), t(14,972) = 199.36, p ≤ 0.001, 95% CI = [1.79, 1.83], Cohen’s d = 1.63. Again, this was true of all four groups, all ts > 33.45; all ps < 0.001; all ds > 1.20. By contrast, and supporting Hypothesis 3b, visit anxiety for the whole sample was significantly below the mid-point of 4 (M = 2.15, SD = 1.44), t(14,970) = − 157.49, p ≤ 0.001, 95% CI = [− 1.88, − 1.83], Cohen’s d = -1.28, and for all four groups, all ts > 18.48; all ps < 001, all ds > − 0.75. Finally, Perceived Social Pressure (PSP) was also, on average, low (M = 2.41, SD = 1.79), and significantly below the mid-point of 4, in general t(17,798) = − 118.73, p ≤ 0.001, 95% CI = [− 1.62, − 1.57], Cohen’s d = − 0.89, and for all four groups independently all ts > 10.70; all ps < 0.001, all ds > − 0.38. As predicted, spending time in nature appeared intrinsically motivating for everyone, including those with CMDs, and this was supported by corresponding experiences of generally high levels of happiness and low levels of anxiety on the most recent visit.
CMDs and intrinsic motivations, nature visits and nature experiences
The left hand data columns in Table 2 present model results for intrinsic motivation, visit frequency, and happiness and anxiety on the most recent visit, with the three CMD groups compared to the reference category of no reported conditions (i.e. ‘none’). Full models including covariates are presented in Supplementary Materials Tables S5 to S8.
Although all groups were above the mid-point (H1a), supporting H1b, those with depression (only) (B = − 0.14, 95% CI = [− 0.23, − 0.05], p = 0.002), or anxiety (only) (B = − 0.33, 95% CI = [− 0.42, − 0.25], p < 0.001), and those with both (B = − 0.24, 95% CI = [− 0.34, − 0.14], p < 0.001), reported significantly lower levels of intrinsic motivation for spending time in nature, compared to no reported condition.
Visiting nature at least once a week
Contrary to H2, those with anxiety (OR = 1.19, 95% CI = [1.02, 1.38], p = 0.026) were significantly more likely to visit nature weekly compared to no reported condition. There was no significant difference in visit likelihood for those with depression (OR = 1.03, 95% CI = [0.88, 1.19], p = 0.736) or both conditions (OR = 1.00, 95% CI = [0.85, 1.19], p < 0.001) compared to no condition.
Happiness and anxiety on the most recent blue space visit
Contrary to H3c, compared to those with no reported conditions, those with depression reported similar levels of happiness (B = − 0.04, 95% CI = [− 0.12, 0.04], p = 0.325), and those with both depression and anxiety reported higher happiness (B = 0.10, 95% CI = [0.01, 0.19], p = 0.031). Only those with anxiety experienced, as predicted, lower happiness on the most recent visit (B = − 0.17, 95% CI = [− 0.24, − 0.10], p < 0.001). Supporting H3d, however, compared to those with no reported conditions, visit anxiety was higher for all three CMD groups: depression (B = 0.17, 95% CI = [0.07, 0.28], p = 0.001); anxiety (B = 0.20, 95% CI = [0.11, 0.30], p < 0.001); both (B = 0.24, 95% CI = [0.12, 0.35], p < 0.001).
Potentially moderating role of perceived social pressure (PSP)
The right hand columns in Table 2 add PSP and the interactions with the three CMD groups to the first set of models. Again, full models including covariates are presented in Supplementary Materials Tables S5 to S8.
Supporting H4a, PSP was associated with lower intrinsic motivation, even for those with no reported conditions. For each unit increase in PSP there was a 0.09 decrease in intrinsic motivation towards visiting natural spaces (B = − 0.09, 95% CI = [− 0.10, − 0.08], p < 0.001). The negative association was even stronger for people with depression (B = − 0.06 (95% CI = [− 0.10, − 0.01], p = 0.022), such that each unit increase in PSP was associated with an additional 0.06 decrease in intrinsic motivation, over and above the 0.09 decrease among those without conditions (i.e. total = − 0.09 + − 0.06 = − 0.15). The interactions between PSP and anxiety (B = 0.01 (95% CI = [− 0.03, 0.06], p = 0.603) and both depression/anxiety (B = 0.03 (95% CI = [− 0.02, 0.08], p = 0.194), were not significant. Each unit increase in PSP for those with anxiety was associated with a − 0.08 (i.e. − 0.09 + 0.01) decrease in intrinsic motivation, and for those with both conditions with a − 0.06 (i.e. − 0.09 + 0.03) decrease. In other words, there was a decrease but it was not larger than that already shown by those without conditions.
Contrary to H4b, PSP was associated with a marginally greater likelihood of visiting nature ≥ once a week, for those without conditions (OR = 1.02, 95% CI = [1.00, 1.04], p = 0.050). The interactions for those with depression (OR = 1.07, 95% CI = [0.98, 1.16], p = 0.134), and both conditions (OR = 1.05, 95% CI = [0.97, 1.14], p = 0.238) were not significant, suggesting that PSP tended to increase visit likelihood for these individuals in the same was as those without conditions. Those with anxiety, however, were significantly more likely to visit ≥ once a week than those without conditions, as PSP increased (OR = 1.11, 95% CI = [1.02, 1.20], p = 0.012).
Happiness and anxiety on most recent blue space visit
Supporting H4c, even for those without conditions, each unit increase in PSP was associated with a B = − 0.04 (95% CI = [− 0.05, − 0.03], p < 0.001) decrease in visit-related happiness. That none of the interactions between PSP and CMD group were significant suggests that everyone had a similar negative association (depression: B = − 0.01, 95% CI = [− 0.05, − 0.03] p = 0.528; anxiety: B = − 0.03, 95% CI = [− 0.07, 0.01], p = 0.103; and both: B = − 0.01, 95% CI = [− 0.03, 0.05], p = 0.659).
Finally, supporting H4d, for those without conditions, each unit increase in PSP was associated with a B = 0.18 (95% CI = [0.17, 0.19]) increase in visit-related anxiety. This time, the interactions between PSP and CMD group were all significant (depression: B = 0.15 (95% CI = [0.09, 0.20], p ≤ 0.001; anxiety: B = 0.13, 95% CI = [0.08, 0.17], p ≤ 0.001; and both: B = 0.09 (95% CI = [0.04, 0.14], p = 0.001). These patterns are presented in Fig. 1. As PSP increases for those without conditions, anxiety also increases (blue points). However, the relationship is even steeper for all CMD groups (red points), a synergistic effect suggesting that those with CMDs who feel pressured are also susceptible to feeling greater anxiety during visits.
Due to space constraints results for covariates are presented and discussed in Supplementary Materials section 3.
To our knowledge, this is the first multi-country analysis of nature-related motives, visits, and wellbeing experiences of people suffering from common mental health disorders (CMDs) such as anxiety and depression. We found that intrinsic motivation to spend time in nature was generally high, although lower among individuals with CMDs, consistent with a general motivational deficit18. The majority of individuals with CMDs visited nature at least once a week, and contrary to experiential avoidance19, those with depression were just as likely, and those with anxiety more likely, to visit compared to those with no conditions. Consistent with research suggesting natural settings are ‘calming’, ‘stress relieving’26, and can help reduce negative, ruminative thoughts26, there was a tendency to report high levels of happiness, and low levels of anxiety, during recent blue space visits across the entire population; though experiences were slightly less positive among individuals with CMDs. Finally, consistent with self determination theory21 perceived social pressure (PSP) to visit green/blue spaces was associated with lower intrinsic motivation among all groups, with the association for those with depression particularly pronounced. Higher PSP was also associated with lower visit happiness, and higher visit anxiety, especially for those with CMDs. However, PSP was associated with greater likelihood of visits, especially among those with anxiety. That intrinsic motivation to spend time in nature was high for people with CMDs and more than half were visiting nature ≥ once a week, suggests that many may be using nature for affect-regulation purposes27. Nevertheless, those with anxiety (in particular) reported lower visit happiness than those without conditions, and all three CMD groups reported higher anxiety. Although this may reflect lower intrinsic motivation (as predicted), one issue may be our focus on blue spaces, which offer potential threats (such as drowning) which may be particularly salient for people with anxiety. Although we think this unlikely, given most visits involved walking near blue spaces, further research focusing on various natural settings for people with different types of CMD is warranted. Another possibility may be that their experiences were genuinely less positive on average due to area-based factors. CMD rates are higher in low-income neighbourhoods9, and deprived areas tend to have lower quality natural environments28. Most blue space visits are local, and visits to poorer quality areas are associated with less positive experiential wellbeing outcomes29. Thus, individuals with CMDs may be reporting less positive experiences, in part, because they occur in poorer quality natural spaces, potentially exacerbating socio-economic related mental health inequalities30.
That higher PSP was associated with a greater likelihood of visiting nature, especially for those with anxiety, but lower visit-related happiness, and greater visit-related anxiety, suggests that although some (perceived) pressure may be effective at getting people out, it may undermine intrinsic pleasure from visiting nature31. However, due to the cross-sectional nature of the survey, we are unable to determine causality. It may be that this instead reflects less motivated people, who experience less positive wellbeing outcomes, going out to please others. More detailed longitudinal work is needed in the ‘green prescription’ field to unpack this issue.
Although our sample was collected by an international polling company and was representative by age, gender and region within each country, we are not able to claim that the sample was fully representative in the respective countries. Moreover, the within country samples were also too small to test our hypotheses for each country separately. Further studies using larger samples which are able to be fully representative, such as Natural England’s, Monitor of Engagement with the Natural Environment (MENE) survey (https://www.gov.uk/government/collections/monitor-of-engagement-with-the-natural-environment-survey-purpose-and-results) are needed across multiple countries to explore the generalisability of the current findings across different geographical and cultural contexts. We also recognise that depression/anxiety are not the only CMDs, and that CMDs are on a spectrum32, so the current findings are only meant as a first exploration and are by no means definitive. Further, all the data were self-reported, and we were unable to validate people’s medication status or nature experiences. Although our prescription item is widely used33, it was also unable to account for length of use, dosage, access to other supporting services etc. or identify individuals who (a) meet criteria for a clinical diagnosis but are not currently receiving pharmaceutical treatment, (b) have particularly severe conditions, or (c) might be taking these drugs to help manage other conditions. Clearly, objective data on clinical diagnoses and treatment stage would be an important step for future research, especially as symptom severity and stage of treatment could be a critical factor in the success of green prescription uptake and adherence34. We are also aware that the explanatory power of our models was small (intrinsic motivation, visit likelihood) to moderate (visit experiences), and thus CMD status is only playing a very small role in these outcomes; there remain many other variables, beyond even our extensive set of covariates, which it is important to consider in improving our understanding of these outcomes. We also recognise that single items for measuring e.g. intrinsic and extrinsic motivation are not as robust as multi-item scales, but there is an inherent trade-off when collecting data from large-samples. Moreover, we recognise that we are assuming linearity in the response options for our outcome variables, when technically they could be considered ordinal scales. Nevertheless, it has long been recognised that findings are robust to this assumption for these kinds of dependent variables with results using linear and ordinal analyses producing essentially the same outcomes, with the linear approaches being far easier to interpret35. Finally, more in-depth qualitative work could enrich our understanding of whether and how people with CMDs are deliberately visiting nature for symptom self-management and how engagement with green/blue prescription programmes might affect their motivations and experiences34.
Many individuals with CMDs are motivated to visit nature, and derive psychological benefits from such visits, though area level environmental inequalities may be undermining their potential for even better experiences. Nature based programmes such as ‘green prescriptions’ are becoming more prevalent. Our data suggest that perceived pressure to visit nature may increase visit frequency, but at the cost of undermining intrinsic motivation and the emotional benefits that might be achieved. Careful techniques to discuss accessing nature as a means of self- or supported-management (e.g. motivational interviewing36), need to be integrated into these programmes if they are to offer clients the best support.
Ethical approval for the methods, content and data management of the survey was granted by the University of Exeter’s College of Medicine and Health Research Ethics Committee (Ref: Aug16/B/099).
Data were drawn from the BlueHealth International Survey (BIS24). Respondents were registered in fourteen European countries (Bulgaria, Czech Republic, Estonia, Finland, France, Germany, Greece, Italy, Ireland, Netherlands, Portugal, Spain, Sweden, United Kingdom), plus Canada and three other non-European regions: Queensland (Australia), Hong Kong (China) and California (USA). The survey was administered by YouGov, an international market research company through their online panels of respondents. Further details on YouGov’s sampling approach and their adherence to international industry standards for data collection and storage can be found here https://yougov.co.uk/about/panel-methodology/, which includes a link to their detailed response to the World Association for Social, Opinion and Market Research (ESOMAR) guidelines on Online research.
The BIS was broadly concerned with people’s experiences of the natural world and a range of health and well-being outcomes. There were seven main sections including: (1) Subjective well-being; (2) Visit frequency to a wide range of different natural environments; (3) Blue spaces in the local area and childhood experiences; (4) The most recent visit to a blue space; (5) Water quality; (6) Health and well-being generally; and (7) Demographics. Full methodological details are available on the Open Science Framework website37. For current purposes it is important to note that while some questions (e.g. visit frequency) asked about peoples’ contact with a wide range of green (e.g. parks, woodlands, uplands) and blue (e.g. rivers, lakes, coasts) spaces, other questions, e.g. about the most recent visit, related only to blue spaces. Data will be made freely available on the internet in accordance with the European Union’s Open Data strategy after a suitable embargo period.
Samples of ~ 1000 respondents representative on sex, age, and geographical location were obtained from each country/region (total n = 18,838). To account for seasonal biases, sampling was undertaken in four waves between June 2017 and April 2018. All analyses used weights, created by YouGov, which accounted for selection, non-response, and population biases.
Common mental health disorders (CMDs)
Our indicator of whether someone was currently experiencing a CMD was based on the following question: “During the past two weeks, have you used any medicines for any of the following conditions that were prescribed for you by a doctor? Please select all that apply”, with ‘yes’/’no’ response options. Alongside physical health conditions, e.g. back/neck pain, were two mental health conditions: ‘depression’ and ‘tension and anxiety’. The question was taken from the European Health Interview Survey (Eurostat, 2013), and we created three CMD groups: (a) those with depression, i.e. taking antidepressants; (b) those with anxiety, i.e. those taking anxiolytics; and (c) those with both depression and anxiety. We recognise that this is only a proxy measure and, among other limitations, may miss people with CMDs not currently on medication (see “Discussion”). Medication data was missing for one participant.
Adapting items from a measure used in the physical activity domain (“I find exercise fun” and “I enjoy my exercise sessions”)38, a single-item asked participants the extent to which participants felt the following statement was true for them: “I find visiting green and blue space enjoyable or fun”, with responses on a seven-point scale from ‘not at all’ (1) to ‘very true’ (7). We suggest that similarly to exercise, visiting natural spaces may be considered under the umbrella of activities that serve to increase health and wellbeing. As such it is proposed that adapting a measure of motivation from the physical activity domain was appropriate. 187 participants responded ‘unsure’ and were classed as ‘missing’.
Visiting nature ≥ once a week
Participants were asked how often they had made recreational visits to a range of natural environments, including both green (vegetated) and blue (inland/coastal water) spaces, in the last four weeks (See Supplementary Table S1 for the full list) using four categorical response options (‘not at all in the last four weeks’, ‘once or twice in the last four weeks’, ‘once a week’, ‘several times a week’). The last four weeks was chosen as a recall period based on previous leisure visit surveys. ‘Not at all’ and ‘once/twice’ were collapsed together, and ‘once a week’ and ‘several times’ were collapsed together to provide a binary ‘yes’/’no’ indication of at least (≥) weekly nature visits, an important threshold in previous studies39. Nature visit frequency data was missing for five participants.
Blue space visit wellbeing
Consistent with the aims of the BlueHealth project, participants were asked to describe their most recent visit to any type of blue space within the last four weeks (see Supplementary Table S1 for taxonomy). 79.4% (n = 14,973), had made at least one such visit. Of these the majority involving walking, especially along footpaths and promenades. Other visits included sunbathing, swimming, playing with children, watersports, and ice skating (in winter months). Detailed analysis of visit type will be presented elsewhere. For current purposes the most important aspect was participant’s recalled experiential wellbeing in terms of the degree to which they agreed with the following statements: “It made me feel happy” and “It made me feel anxious”, with response options from ‘strongly disagree’ (1) to ‘strongly agree’ (7). These items were adapted from the OCED40 measures of positive and negative experiential wellbeing respectively. Of the 14,973, seven had missing data for happiness and eight people had missing data for anxiety.
Perceived social pressure
Perceived social pressure (PSP) was assessed using a single item adapted from the same motivation measure as for intrinsic motivation (“I feel under pressure from friends/family to exercise”38. Participants were asked the extent to which they felt the following statement was true for them: “I sometimes feel pressured by others (e.g. partner, friends) to visit green and blue spaces”, with responses from ‘not at all’ (1) to ‘very true’ (7). 1,038 participants responded ‘unsure’ and were classed as ‘missing’, alongside 1 person with missing data.
Sociodemographic and individual level controls
Regression analyses were adjusted for a number of socio-demographic indicators that have been found to be associated with nature visits and/or mental health in previous research. For full details and rationale see https://bit.ly/BIS-Technical-Report (section 4.7). These included: sex (male = reference, female); age (18–29, 30–39, 40–49, 50–59, 60 + = reference); perceived financial strain (finding it very difficult on present income = reference, finding it difficult on present income, coping on present income, living comfortably on present income, don’t know); employment status (employed, other = reference); marital status (married or in civil partnership, not married = reference); number of children in the household (none = reference, one, two or more); having a long-term limiting illness (yes, no = reference); smoking status (current smoker, previously smoked, never smoked = reference); and alcohol use (less than monthly = reference, up to once a week, and up to daily). Seasonal wave (spring = reference, summer, autumn, winter), and country (reference = UK) were included to control for seasonal and country level effects. Raw data included ‘missing’s is presented in Supplementary Table S4.
Analyses for visit-related ‘happiness’ and ‘anxiety’ also controlled for visit-related factors that have been shown to be important for visit wellbeing in previous studies29 including: number of companions; presence of dog (yes, no = reference); mode of transport to get to destination (private = reference, public, walking/cycling, other); travel time to destination (in minutes; 0–14 = reference, 15–29, 30–59, 60–119, 120 +); and visit duration (in minutes; 10–20 = reference, 30–50,60–80, 90–110, 120–170, 180 +). Finally, to reduce the possibility that visit-related happiness and anxiety was merely due to general affective disposition, we also controlled for happiness and anxiety on the previous day as measures of general levels of experiential wellbeing40. Raw data included ‘missing’s is presented in Supplementary Table S4.
Analyses were conducted in IBM SPSS Statistics 25. To test H1a and H3/b, one-sample t-tests were conducted comparing the mean scores for the whole sample, and for sub-samples as a function of CMD group, to the scale-mid-points. Remaining hypotheses were tested using a series of linear and logistic (for the binary outcome of visit ≥ once week) regression models, with perceived social pressure (PSP) and interaction terms included to test the potential moderation effect of PSP (H4). Fully adjusted models are presented above with unadjusted and partially adjusted models presented in Supplementary Materials Table S5 to S8. Variance inflation factor (VIF) tests for all analyses suggested no evidence of multicollinearity between covariates in any of the analyses (Supplementary Materials Table S10). Country was added as a fixed effect to control for potential within-country clustering. This is similar to a random intercept model for country but with the advantage that inference on the relationship between country and outcomes is more straightforward. There were insufficient cases of medication use in each country to robustly explore country-specific medication effects (random slopes). Although we considered a matched-control design for the current analyses, i.e. only comparing those with CMDs to a reduced sample who were not on medication but similar in other respects, such designs tend to produce similar results to full sample analyses, but with reduced power41. Preliminary analysis suggested this was also the case here, so the full sample was retained. Loss of data due to missing/unsure/prefer not to answer responses (especially for the PSP measure) resulted in full sample (n = 18,838) models of n = 17,570 for intrinsic motivation and visits weekly (i.e. 93.3% included), and visit sub-sample (n = 14,973) analyses with n = 14,012 (93.6%) for visit happiness and n = 13,975 (93.3%) for visit anxiety. Of note, this reduced visit only sample was almost identical in terms of CMD status and demographic composition to the full sample (Supplementary Table S9), reducing the risk of bias. To aid comparability across Models 1 (without PSP) and Models 2 (with PSP), both models only used the sample with PSP data.
The relationships between covariates and main study outcomes
Below we present a brief consideration of the significant relationships between the covariates included in the final, fully adjusted models for each outcome variable. These are presented in Tables S5 to S8 of the supplementary materials document.
Intrinsic motivation to visit natural spaces
Intrinsic motivation (IM) was significantly higher in females compared to males (B = 0.19, 95% CI = [0.15, 0.23], p < 0.001), and lower for those participants aged 18–29 (B = − 0.22, 95% CI = [− 0.19, − 0.26], p < 0.991) and 30–39 (B = − 0.14, 95% CI = [− 0.21, − 0.07], p < 0.001) years. Perceived income was also associated with IM, such that those who felt that they were comfortable (B = 0.23, 95% CI = [0.13, 0.32], p < 0.001) or coping (B = 0.16, 95% CI = [0.07, 0.24], p < 0.001) also reported higher IM compared to those who were finding their present financial situation difficult or very difficult. This may indicate that capacity for enjoyment of nature is reduced when other more practical issues are of concern, such as financial anxiety. Those reporting that they ‘didn’t know’ how they perceived their financial situation reported lower IM (B = − 0.22, 95% CI = [− 0.42, − 0.02], p = 0.033).
Both being married/cohabiting (B = 0.19, 95% CI = [0.15, 0.23], p < 0.001), and employed (B = 0.05, 95% CI = [0.00, − 0.10], p = 0.031) were positively associated with higher IM. Enjoyment of natural spaces may be increased when visiting with a loved one, and employment status may serve here as a proxy or reflection of perceived financial situation, again potentially reflecting cognitive capacity for enjoyment in the absence of perceived financial pressure. Wave was also associated with IM; as perhaps may be expected, IM was lower in winter (B = − 0.10, 95% CI = [− 0.05, − 0.14], p < 0.001) and spring (B = − 0.06, 95% CI = [− 0.12, − 0.01], p = 0.021), compared to Summer. It is logical that enjoyment would be higher in seasons that are typically associated with milder weather. Up to daily alcohol use was also positively associated with IM. This could be a result of the social interaction that may accompany regular alcohol intake and be associated with visits for recreational purposes and therefore increased enjoyment. Finally, compared to the UK, Bulgaria (B = 0.53, 95% CI = [0.42, 0.64], p < 0.001), California (B = 0.13, 95% CI = [0.02, 0.24], p = 0.025), Estonia (B = 0.14, 95% CI = [0.03, 0.26], p = 0.015), Finland (B = 0.16, 95% CI = [0.05, 0.27], p = 0.005), Germany (B = 0.13, 95% CI = [0.02, 0.25], p = 0.020), Greece (B = 0.34, 95% CI = [0.23, 0.46], p < 0.001), Portugal (B = 0.45, 95% CI = [0.33, 0.56], p < 0.001) and Sweden (B = 0.12, 95% CI = [0.01, 0.23], p = 0.027) all reported significantly higher IM. In contrast, Canada (B = − 0.22, 95% CI = [− 0.33, − 0.11], p < 0.001), Hong Kong (B = − 0.53, 95% CI = [− 0.65, − 0.41], p < 0.001), Ireland (B = − 0.15, 95% CI = [− 0.26, − 0.04], p = 0.007) and the Netherlands (B = -0.25, 95% CI = [− 0.36, − 0.14], p < 0.001) all reported lower IM. We have no clear idea why this should be the case.
≥ Weekly visits to nature
Females were significantly less likely to visit nature at least weekly compared to males (OR = 0.85, 95% CI = [0.80, 0.91], p < 0.001). Odds of visiting weekly were also lower for all age groups compared to those aged 60 + years (OR range between 0.76 and 0.86, all p’s ≤ 0.01). Perceived income was also associated with weekly visits, such that those who felt that they were comfortable (OR = 1.65, 95% CI = [1.45, 1.97], p < 0.001) or were coping (OR = 1.38, 95% CI = [1.20, 1.59], p < 0.001) had higher odds of visiting weekly compared to those who perceived their financial situation to be very difficult, possibly due to increased time, availability and capacity for leisure activities. The odds of at least weekly visits were significantly lower in winter (OR = 0.65, 95% CI = [0.59, 0.72], p < 0.001) and spring (OR = 0.69, 95% CI = [0.63, 0.76], p < 0.001), compared to summer. This is in line with the notion that visits will be more frequent when the weather is warmer and more tourist attractions are likely to be open. Both being married (OR = 1.28, 95% CI = [1.19, 1.37], p ≤ 0.001), and having 1 child (OR = 1.54, 95% CI = [1.38, 1.71], p < 0.001) or 2 or more children (OR = 1.55, 95% CI = [1.38, 1.74], p < 0.001) were also associated with increase odds of at least weekly visits. This may be due to the need to take family trips out and provide activities for children. Increased alcohol use (drinking at least weekly and at least daily) was also associated of increased odds of visiting nature compared to drinking less than monthly. Finally, with the exception of California, Canada and France, participants from all countries had higher odds of visiting at least weekly compared to the UK (OR range between 4.96 and 1.36, all p’s < 0.05).
Visit happiness during the most recent blue visit was significantly higher in females compared to males (B = 0.18, 95% CI = [0.15, 0.22], p < 0.001), and lower for those participants aged between 18 and 29 (B = − 0.12, 95% CI = [− 0.18, − 0.07], p < 0.001) and 30 to 39 (B = − 0.08, 95% CI = [− 0.14, − 0.03], p = 0.005) years. Perceived income was also associated with visit happiness, such that those who felt that they were comfortable (B = − 0.11, 95% CI = [− 0.19, − 0.03], p = 0.001) or coping (B = − 0.09, 95% CI = [− 0.16, − 0.01], p = 0.028), or didn’t know how they felt about their financial situation (B = − 0.62, 95% CI = [− 0.80, − 0.44], p < 0.001) also reported lower visit happiness compared to those who were finding their present financial situation very difficult. A possible explanation for this is that those who are finding their financial situation very difficult are experiencing the greatest benefits from blue space when they are there42. Both being married/cohabiting (B = 0.06, 95% CI = [0.02, 0.10], p = 0.001), and employed (B = 0.06, 95% CI = [0.02, 0.09], p = 0.006) were positively associated with increased happiness, while having 2 children or more (B = − 0.07, 95% CI = [− 0.12, − 0.01], p = 0.018) in the household was associated with decreased happiness, potentially due to the additional stressors of supervising children on a nature visit43. Being a current smoker (B = 0.05, 95% CI = [0.00, 0.09], p = 0.031) was associated with increased visit happiness, however there was a negative relationship between drinking alcohol up to once a week (B = − 0.07, 95% CI = [− 0.11, − 0.03], p = 0.001) and happiness on the last blue visit. There was also a negative relationship between happiness during the recent visit and respondents who completed the questionnaire during the winter (B = − 0.05, 95% CI = [− 0.10, − 0.01], p = 0.026), compared to the summer. It is logical that happiness ratings might be affected due to either more inclement weather conditions, or a reduction in tourist industry leading to fewer activities available. Compared to the UK, Bulgaria, Estonia, Finland, France, Germany, Hong Kong, Italy and the Netherlands all reported lower happiness ratings on the most recent blue space visit (B’s range between -0.10 and -0.46, all p’s < 0.05). Greece (B = 0.14, 95% CI = [0.05, 0.24], p = 0.003) and the Czech Republic (B = 0.10, 95% CI = [0.01, 0.20], p = 0.035) reported higher happiness ratings. Those walking the dog on their most recent visit reported greater happiness (B = 0.12, 95% CI = [0.06, 0.17], p < 0.001), and those who travelled by public transport (B = − 0.17, 95% CI = [− 0.23, − 0.11], p < 0.001), compared to their own private transport reported lower happiness ratings. Length of time travelling for the visit was also associated, such that those who had travelled 120 min or more (B = − 0.14, 95% CI = [− 0.20, − 0.08], p < 0.001) to get to their destination reported lower happiness ratings. Finally, duration of the visit was also associated with visit happiness such that those on visits that lasted longer than 30 min were significantly happier (all B’s > 0.37, all p’s < 0.001).
Visit anxiety was significantly lower in females compared to males (B = − 0.09, 95% CI = [− 0.13, − 0.05], p < 0.001), and higher for those participants aged 18–29 (B = 0.28, 95% CI = [0.21, 0.35], p < 0.001) and 30–39 (B = 0.15, 95% CI = [0.08, 0.23], p < 0.001) years compared to those aged over 60. Those in the 50–59 age bracket reported significantly lower anxiety (B = − 0.07, 95% CI = [− 0.14, − 0.00], p = 0.039) compared to those aged over 60. Perceived income was also associated with anxiety, such that those reporting that they ‘didn’t know’ (B = 0.37, 95% CI = [0.15, 0.60], p = 0.001) how they perceived their financial situation had greater visit anxiety. Being married/cohabiting (B = − 0.06, 95% CI = [− 0.11, − 0.01], p < 0.001) was associated with lower anxiety, while having 1 child (B = 0.17, 95% CI = [0.11, 0.23], p < 0.001) or 2 or more children (B = 0.18, 95% CI = [0.11, 0.24], p < 0.001) was associated with increased visit anxiety. This is consistent with the data on visit happiness, and may be due to greater responsibility for the safety of the children during the visit. As expected, anxiety yesterday (B = 0.15, 95% CI = [0.14, 0.15], p < 0.001) was related to visit anxiety, and drinking alcohol up to daily (B = 0.07, 95% CI = [0.01, 0.13], p = 0.017) was also related to increased anxiety compared to drinking less than monthly. Wave was also associated with anxiety; as perhaps may be expected, anxiety was higher during winter visits (B = 0.06, 95% CI = [0.00, 0.12], p = 0.050), compared to summer. It is logical that anxiety would be higher in seasons that are typically associated with more severe weather and activities that could be perceived as more risky such as ice skating etc. Compared to the UK, participants in the majority of countries (Canada, Estonia, Finland, Germany, Greece, Hong Kong, Ireland, Italy, Netherlands, Portugal, Queensland, AU and Spain) reported significantly greater anxiety on their recent blue visit (B’s range from 0.19 to 0.40, all p’s < 0.05) while respondents from Finland (B = − 0.13, 95% CI = [− 0.25, − 0.02], p = 0.026) reported significantly lower anxiety on their last visit. Travelling on ones ‘own steam’ (B = − 0.11, 95% CI = [− 0.15, − 0.06], p < 0.001) was associated with reduced anxiety compared to using private transport, and as expected, travel times of 30 min or greater to reach the destination were also all associated with greater anxiety (all B’s > 0.08, all p’s < 0.05) compared to a travel time of less than 15 min. Finally, consistent with the happiness ratings, visit anxiety was lower for trips that lasted longer than 60 min, suggesting that longer periods of time spent in nature may be associated with increased wellbeing benefits (B’s range from − 0.10 to − 0.31, all p’s < .0.05).
Bratman, G. N. et al. Nature and mental health: an ecosystem service perspective. Sci. Adv. 5, 7 (2019).
Baxter, D. E. & Pelletier, L. G. Is nature relatedness a basic human psychological need? A critical examination of the extant literature. Can. Psychol. 60(1), 21 (2019).
Cleary, A. et al. Exploring potential mechanisms involved in the relationship between eudaimonic wellbeing and nature connection. Landsc. Urban Plan. 158, 119–128 (2017).
Ryan, R. M. & Deci, E. L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am. Psychol. 55(1), 68 (2000).
McMahan, E. A. & Estes, D. The effect of contact with natural environments on positive and negative affect: a meta-analysis. J. Positive Psychol. 10(6), 507–519 (2015).
Bragg, R. & Atkins, G. A review of nature-based interventions for mental health care. Nat. Engl. Commission. Rep. 204, 1 (2016).
Van den Berg, A. E. From green space to green prescriptions: challenges and opportunities for research and practice. Front. Psychol. 8, 268 (2017).
Annerstedt, M. & Währborg, P. Nature-assisted therapy: systematic review of controlled and observational studies. Scand. J. Public Health 39(4), 371–388 (2011).
Depression, W. H. O. Other common mental disorders: global health estimates 1–24 (World Health Organization, Geneva, 2017).
Baldwin, D. S. et al. Evidence-based guidelines for the pharmacological treatment of anxiety disorders: recommendations from the British Association for Psychopharmacology. J. Psychopharmacol. 19(6), 567–596 (2005).
Kazdin, A. E. & Blase, S. L. Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspect. Psychol. Sci. 6(1), 21–37 (2011).
White, M. P. et al. Would you be happier living in a greener urban area? a fixed-effects analysis of panel data. Psychol. Sci. 24(6), 920–928 (2013).
Helbich, M. et al. More green space is related to less antidepressant prescription rates in the Netherlands: a Bayesian geoadditive quantile regression approach. Environ. Res. 166, 290–297 (2018).
Berman, M. G. et al. Interacting with nature improves cognition and affect for individuals with depression. J. Affect. Disord. 140(3), 300–305 (2012).
Roe, J. & Aspinall, P. The restorative benefits of walking in urban and rural settings in adults with good and poor mental health. Health Place 17(1), 103–113 (2011).
Britton, E. et al. Blue care: a systematic review of blue space interventions for health and wellbeing. Health Promot. Int. 35(1), 50–69 (2020).
Robinson, J. M. & Breed, M. F. Green prescriptions and their co-benefits: Integrative strategies for public and environmental health. Challenges 10, 9 (2019).
Smith, B. Depression and motivation. Phenomenol. Cogn. Sci. 12(4), 615–635 (2013).
Cribb, G., Moulds, M. L. & Carter, S. Rumination and experiential avoidance in depression. Behav. Change 23(3), 165 (2006).
Krämer, L. V. et al. Correlates of reduced exercise behaviour in depression: the role of motivational and volitional deficits. Psychol. Health 29(10), 1206–1225 (2014).
Deci, E. L., Koestner, R. & Ryan, R. M. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol. Bull. 125(6), 627 (1999).
Dejonckheere, E. et al. Perceiving social pressure not to feel negative predicts depressive symptoms in daily life. Depress. Anxiety 34(9), 836–844 (2017).
Sebire, S. J., Standage, M. & Vansteenkiste, M. Examining intrinsic versus extrinsic exercise goals: cognitive, affective, and behavioral outcomes. J. Sport Exerc. Psychol. 31(2), 189–210 (2009).
Grellier, J. et al. BlueHealth: a study programme protocol for mapping and quantifying the potential benefits to public health and well-being from Europe’s blue spaces. BMJ Open 7, 6 (2017).
Steel, Z. et al. The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013. Int. J. Epidemiol. 43(2), 476–493 (2014).
Schipperijn, J. et al. Factors influencing the use of green space: results from a Danish national representative survey. Landsc. Urban Plan. 95(3), 130–137 (2010).
Korpela, K. M. et al. Environmental strategies of affect regulation and their associations with subjective well-being. Front. Psychol. 9, 562 (2018).
Wüstemann, H., Kalisch, D. & Kolbe, J. Access to urban green space and environmental inequalities in Germany. Landsc. Urban Plan. 164, 124–131 (2017).
Wyles, K. J. et al. Are some natural environments more psychologically beneficial than others? The importance of type and quality on connectedness to nature and psychological restoration. Environ. Behav. 51(2), 111–143 (2019).
Allen, J., & Balfour, R. Natural Solutions for Tackling Health Inequalities. (UCL Institute of Health Equity, London, 2014). https://www.instituteofhealthequity.org/resources-reports/natural-solutions-to-tackling-health-inequalities/natural-solutions-to-tackling-health-inequalities.pdf.
Feng, C. et al. The pursuit of social acceptance: aberrant conformity in social anxiety disorder. Soc. Cogn. Affect. Neurosci. 13(8), 809–817 (2018).
Zimmerman, M., Morgan, T. A. & Stanton, K. The severity of psychiatric disorders. World Psychiatry 17(3), 258–275 (2018).
Eurostat. European Health Interview Survey (EHIS wave 2) Methodological Manual. Publications Office of the European Union (2013). https://ec.europa.eu/eurostat/documents/3859598/5926729/KS-RA-13-018-EN.PDF/26c7ea80-01d8-420e-bdc6-e9d5f6578e7c.
Sahlin, E. et al. How do participants in nature-based therapy experience and evaluate their rehabilitation?. J. Ther. Hortic. 22(1), 8–23 (2012).
Ferrer-i-Carbonell, A. & Frijters, P. How important is methodology for the estimates of the determinants of happiness?. Econ. J. 114(497), 641–659 (2004).
Marker, I. & Norton, P. J. The efficacy of incorporating motivational interviewing to cognitive behavior therapy for anxiety disorders: a review and meta-analysis. Clin. Psychol. Rev. 62, 1–10 (2018).
Elliott, L. R. & White, M. P. BlueHealth International Survey Methodology and Technical Report. https://doi.org/10.17605/OSF.IO/7AZU2. (2020).
Markland, D. & Tobin, V. A modification to the behavioural regulation in exercise questionnaire to include an assessment of amotivation. J. Sport Exerc. Psychol. 26(2), 191–196 (2004).
Shanahan, D. F. et al. Health benefits from nature experiences depend on dose. Sci. Rep. 6, 28551 (2016).
Organisation for Economic Cooperation and Development (OECD). How’s life? 2020: Measuring wellbeing. (2020). https://www.oecd-ilibrary.org/docserver/9870c393-en.pdf?expires=1585930901&id=id&accname=guest&checksum=A5F581FE337E43D1FAD78E0F5A831588.
Faresjö, T. & Faresjö, Å. To match or not to match in epidemiological studies—same outcome but less power. Int. J. Environ. Res. Public Health 7(1), 325–332 (2010).
Garrett, J. K. et al. Coastal proximity and mental health among urban adults in England: the moderating effect of household income. Health Place 59, 102200 (2019).
White, M. P. et al. Feelings of restoration from recent nature visits. J. Environ. Psychol. 35, 40–51 (2013).
We thank Ben Butler, Gavin Ellison, and Tom Powell at YouGov for managing data collection. We also thank Jo Garrett, Leanne Martin, Bethany Roberts, Emma Squire, and Ben Wheeler for earlier comments and advice.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 666773. Data collection in California was supported by the Center for Conservation Biology, Stanford University. Data collection in Canada was supported by the Faculty of Forestry, University of British Columbia. Data collection in Finland was supported by the Natural Resources Institute Finland (Luke). Data collection in Australia was supported by Griffith University and the University of the Sunshine Coast. Data collection in Portugal was supported by ISCTE—University Institute of Lisbon. Data collection in Ireland was supported by the Environmental Protection Agency, Ireland. Data collection in Hong Kong was supported by an internal University of Exeter—Chinese University of Hong Kong international collaboration fund.
The authors declare no competing interests.
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Tester-Jones, M., White, M.P., Elliott, L.R. et al. Results from an 18 country cross-sectional study examining experiences of nature for people with common mental health disorders. Sci Rep 10, 19408 (2020). https://doi.org/10.1038/s41598-020-75825-9