Gregory N. Bratman1*
Gerald Young2Ashish Mehta3Ihno Lee Babineaux4Gretchen C. Daily5,6,7,8
James J. Gross3- 1School of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States
- 2Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
- 3Department of Psychology, Stanford University, Stanford, CA, United States
- 4Senior Behavioral Scientist, Uplight, Boulder, CO, United States
- 5Department of Biology, Stanford University, Stanford, CA, United States
- 6Center for Conservation Biology, Stanford University, Stanford, CA, United States
- 7The Natural Capital Project, Stanford, CA, United States
- 8Stanford Woods Institute, Stanford University, Stanford, CA, United States
Mounting evidence shows that nature contact is associated with affective benefits. However, the psychological mechanisms responsible for these effects are not well understood. In this study, we examined whether more time spent in nature was associated with higher levels of positive affect in general, and lower levels of negative affect and rumination in general. We also conducted a cross-sectional mediation analysis to examine whether rumination mediated the association of nature contact with affect. Participants (N = 617) reported their average time spent in nature each week, as well as their general levels of positive and negative affect, and the degree to which they typically engaged in rumination in daily life. We then used structural equation modeling to test our hypotheses. Our results support the hypothesis that nature contact is associated with general levels of affect, and that rumination mediates this association for negative affect, and marginally mediates this association for positive affect.
Introduction
Studies from multiple disciplines support an association of nature contact with psychological well-being (Bowler et al., 2010; Keniger et al., 2013; Frumkin et al., 2017; White et al., 2017; Kondo et al., 2018). Affective benefits have been found for participants who experience different forms of nature exposure, including viewing nature images (Ulrich et al., 1991), or being physically present within the environment (Hartig et al., 2003; Berman et al., 2008). Study designs include cross-sectional and longitudinal cohort approaches (White et al., 2013; Mitchell et al., 2015; Wheeler et al., 2015; van den Berg et al., 2016), natural experiments (South et al., 2018), and controlled field and laboratory experiments (Ulrich et al., 1991; Hartig et al., 2003; Berman et al., 2012; Aspinall et al., 2015). Outcomes include both increased positive affect (Berman et al., 2008; Park et al., 2010) and decreased negative affect (Hartig et al., 2003; Bratman et al., 2015a).
It is not yet clear, however, what psychological mechanisms underlie these effects. One possibility is informed by prior work on the mood regulating potential of natural landscapes (Korpela et al., 2001; Gonzalez et al., 2010; Johnsen and Rydstedt, 2013). This work suggests that the affective benefits of nature contact might be due to shifts in emotion regulation that occur from nature exposure, including increased engagement in adaptive strategies, or decreased engagement in maladaptive ones. One example of a maladaptive form of emotion regulation that might be reduced by nature exposure is rumination (repetitive and negative self-referential thought about causes and consequences of mood that involves a detrimental pattern of attention allocation) (Nolen-Hoeksema et al., 2008; Roelofs et al., 2009; Aldao and Nolen-Hoeksema, 2010; Joormann and Gotlib, 2010; Genet and Siemer, 2012). Heightened rumination has been shown to be associated with increased negative affective outcomes that stem from real-life events (Moberly and Watkins, 2008; Genet and Siemer, 2012), and a greater risk of experiencing depressive episodes (Nolen-Hoeksema, 2000).
There are a number of possible pathways by which nature contact might reduce rumination. With respect to the framework of Attention Restoration Theory (ART; Kaplan, 1995), it is possible that rumination is affected by the restoration of directed attention, reduction of attentional fatigue, and/or improvement in cognitive control that comes from nature experience (Kaplan, 1995; Berto, 2005; Wells et al., 2019). Also in line with ART, nature contact could encourage the engagement of “soft fascination”—a cognitive process that may provide the mental bandwidth for reflection (Schertz et al., 2018; Basu et al., 2019). This engagement may then result in a decreased salience of the types of unresolved thought patterns that can be characteristic of rumination. Other pathways outside the framework of ART include the possibility that nature contact may provide a “positive distraction” away from a dwelling on negative aspects of well-being (Jiang et al., 2019). Or a change in contextual cues (such as billboards, advertisements, etc.) in natural vs. urban environments may provide a respite from reminders regarding the achievement of a goal, social comparisons, or habitual thought patterns that can be triggers for ruminative thought (Aldao, 2013; Watkins and Nolen-Hoeksema, 2014).
It is important to make a distinction between two areas of research with respect to nature contact and rumination. The first area involves an investigation into the ways in which the environment may impact the strength of association between rumination and negative affective outcomes that stem from real-life events (i.e., mood reactivity), or individual characteristics (such as state-level intensity and experience of chronic pain) (Wells et al., 2019). The second area involves an investigation into the association or impact of nature contact on individuals' levels of state or trait-level rumination (Gonzalez et al., 2010; Bratman et al., 2015a) (i.e., the ways in which nature exposure impacts or is associated with differences or changes in rumination). These streams of research are separate, though not mutually exclusive.
Here, we are focused on this second area of research—specifically, the ways in which average amounts of weekly nature contact may be associated with different levels of general tendencies to ruminate for individuals. The possibility that contact with the natural environment is associated with rumination is consistent with prior work in which participants randomized to a brief nature exposure reported decreases in rumination vs. participants randomized to a brief urban exposure (Bratman et al., 2015a,b). However, these findings occurred in studies with a short temporal scale (50- and 90-min, single-session walks) and sample sizes were limited. It is also not clear whether these findings generalize to naturally occurring variation in nature exposure over longer periods of time, and general tendencies to ruminate.
To be clear, our hypotheses assume that average weekly nature contact has the potential to influence a general tendency to engage in ruminative thought, which in turn can have affective consequences. Though some may consider this to be an assessment of dispositional rumination, and therefore an aspect of cognition and affective processing that is not likely to be associated with aspects of the environment with which one regularly interacts, we believe this relationship to be tenable and motivated by prior evidence and theory. In general, some environmental characteristics may encourage or trigger habitual ruminative thought (Watkins and Nolen-Hoeksema, 2014), while others may lack these elements, or instead provide characteristics that provide for restorative experiences (Korpela et al., 2008) or encourage a shift of attentional focus away from the self (Pasanen et al., 2018). It is quite conceivable that a regular engagement with specific environments would lead to a duration of these effects or attention allocation that could subsequently translate into a difference in self-reported levels of rumination in general.
Additionally, literature from environmental epidemiology and psychology supports this possibility for related outcomes, as exposure to natural environments on a regular basis has been shown to be associated with general levels of life satisfaction (Chang et al., 2020), depressive symptoms and depression (Shanahan et al., 2016; Fong et al., 2018), and even development of personality, namely the facets of Openness and Neuroticism (Snell et al., 2020). Here, we aimed to examine whether this association extended to general levels of rumination. To examine this issue, we conducted a cross-sectional study that examined associations among average time spent in nature, and general levels of rumination, as well as positive and negative affect.
For this study, we conducted a cross-sectional mediation analysis to test the hypotheses that:
(H1) Average weekly time spent in nature would be positively associated with levels of positive affect, and inversely associated with negative affect,
(H2) Average weekly time spent in nature would be associated with lower levels of rumination,
(H3) Average weekly time spent in nature would be significantly and indirectly related to positive and negative affect through lower levels of rumination, a relationship that is consistent with rumination mediating the relationship between nature exposure and affect.
Methods
The study was approved by the Stanford University Human Subjects Committee. Participants were given course credit to participate in the study and signed informed consent. Instructions for student participation were posted online through a school recruitment website and to an electronic mailing list sent to enrolled students. Students completed questionnaires online, all of which were presented in random order across participants. The survey took place over the course of 16 months, thereby accounting for weather and seasonal variability. Additional measures not relevant to the present report were obtained, and will be presented elsewhere.
Participants
A total of 617 enrolled students, age 18 and over, from the San Francisco Bay Area completed the study (see Table 1 for descriptive statistics). No other exclusionary criteria were included. Twelve participants were excluded from analysis due to a reporting of hours per week spent in nature that was greater than three standard deviations above the sample mean, leaving a total of 605 participants. As we were not sure of expected effect sizes, we collected data from as many participants as were available during the course of a 16-month period (post-hoc power analyses included in Table 1 in Supplementary Material).
Table 1. Summary statistics of study population (N = 605).
Measures
Nature Experience
Amount of time spent in nature was operationalized using an open-ended question (“On average, approximately how many hours per week would you consider yourself to have interacted with nature? For example, walking outside, biking, gardening, playing games/sports, camping, fishing, reading outside, yard work, hanging out in a park, etc...”). Answers ranged from 0–100 h per week. After elimination of the 12 statistical outliers (defined a priori as 3 SD), answers ranged from 0 to 40 h per week.
Rumination
Rumination was assessed using a five-item rumination scale adapted from the Ruminative Responses Scale (RRS; Treynor et al., 2003). This scale consisted of five items designed to assess the brooding component of rumination (e.g., “I think ‘Why do I have problems other people don't have?”'). Each item was rated on a 4-point scale, ranging from one (“never”) to four (“always”). The scale was internally consistent (α = 0.83).
Positive and Negative Affect
The 20-item Positive and Negative Affect Schedule (PANAS; Watson et al., 1988) was used to assess both positive affect (10-item scale; e.g., “interested,” “active”) and negative affect (10-item scale; e.g., “distressed,” “irritable”). Each item consisted of 5-point ratings, ranging from one (“very slightly or not at all”) to five (“extremely”), for which participants were asked to self-report the extent to which they “generally experience each of these feelings or emotions.” Each of the two scales was internally consistent (positive affect α = 0.90; negative affect α = 0.90).
Statistical Analyses
We used the lavaan package (version 0.6-6) in R (version 4.0.0) to conduct confirmatory factor analyses and structural equation modeling (Rosseel, 2012).
Confirmatory Factor Analysis
For the confirmatory factor analysis (CFA), we examined the latent structures of rumination and affect. The rumination factor was composed of the original five scale items. Before fitting the CFA model, affect items were averaged to create three parcels (or indicators) per factor. The creation of parcels to serve as indicators is recommended when five or more items represent a single factor, as parcels are more normally distributed and reliable than individual items, and the use of fewer parcels (compared to the number of original items) results in a more parsimonious model that is consistent with classical test theory (see Little et al., 2002). Since different item-parcel allocations can result in variations in model fit statistics and parameter estimates, all subsequently reported model results are averaged over 50 random item-parcel allocations (Sterba, 2011).
Structural Mediation Model
We tested the hypothesized mediation model between time in nature and affect through rumination using a structural equation modeling framework. Using structural equation modeling to test mediation is superior to the classic multiple regression approach due to both its practical flexibility, (e.g., allowing for the use of latent factors and simultaneous estimation of multiple paths) and its more accurate estimation of parameters as demonstrated in simulation studies (Iacobucci et al., 2007; Gunzler et al., 2013). This approach allowed us to examine each of our three hypotheses noted above. We evaluated model fit [i.e., root mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis index (TLI), and the standardized root mean square residual (SRMR)] according to existing guidelines (Hoyle and Panter, 1995; Hu and Bentler, 1999; Marsh et al., 2004). For RMSEA, values ≤ 0.05 and 0.08 indicate close and reasonable fit respectively. For CFI and TLI, values ≥ 0.95 and 0.90 indicate close and reasonable fit respectively. For SRMR, values ≤ 0.08 are considered good fit. We report bias-corrected, bootstrapped confidence intervals. To test the significance of the indirect effects (the ab path) of the mediation model, we used bootstrapped 95% confidence intervals (Mackinnon et al., 2004). To test the significance of all other paths, we used bootstrapped standard errors to derive a p-value (with a cutoff p < 0.05) under a standard normal distribution.
Results
Our results supported our hypotheses regarding (1) the association of time in nature with affect, (2) the association of time in nature with rumination, and (3) the mediation of the association of time in nature with negative affect through rumination, while the association of time in nature with positive affect through rumination was marginally significant.
Confirmatory Factor Analysis
The three-factor CFA model of rumination, positive affect, and negative affect had good fit as indicated by a significant chi-square and conventional fit statistics, χ2 = 180, df = 41, p < 0.0001, RMSEA = 0.07 [90% confidence interval (CI) = 0.06, 0.09], CFI = 0.96, TLI = 0.95, SRMR = 0.04. Standardized factor loadings were uniformly large (from 0.64 to 0.88) and statistically significant (p < 0.001). These results demonstrated that we were measuring our constructs appropriately, and could proceed with the structural equation modeling to examine total, direct, and indirect effects.
Structural Equation Modeling
As shown in Table 2, in support of H1, there was a significant positive total effect of time in nature on positive affect (c1 path) and a significant negative total effect of time in nature on negative affect (c2 path). In support of H2, time in nature was inversely associated with rumination (a path). In support of H3, rumination was inversely associated with positive affect (b1 path) and positively associated with negative affect (b2 path), and when accounting for rumination, the direct effect of time in nature on positive affect was virtually unchanged and still significant (c'1 path). Moreover, when accounting for rumination, the direct effect of time in nature on negative affect turned non-significant (c'2 path). Additionally, the 95% confidence interval for the indirect effect of time in nature on positive affect was marginally significant with a very small effect size (ab1 path; std β = 0.01; see Table 2 and Figure 1). The 95% confidence interval for the indirect effect of time in nature on negative affect through rumination was significant (ab2 path; std. β = −0.08; see Table 2 and Figure 1) and had a larger effect size than time in nature on positive affect. Bivariate correlations are reported in Table 2 in Supplemental Material.
Table 2. Estimates (Est.) and effect sizes (Std. β) for all paths in the mediation model.
Figure 1. Structural equation mediation model of the relationships between time in nature, rumination and positive and negative affect. Ovals denote latent variables (i.e., all but “Weekly time in nature”). Standardized coefficients are presented. *indicates path with significant relationship (α = 0.05). †Indicates path with marginally significant relationship (α = 0.10). For the “ab” paths, significance was tested with bootstrapped 95% confidence intervals. The “ab” paths indicate the indirect effect of time in nature on affect. The “c” paths indicate the total effect of time in nature on affect. The “c”' paths indicate the direct effect of time in nature on affect.
Secondary Analyses
We also ran a version of our model with demographic covariates. Before fitting this model, we removed the single non-binary individual and created binary variables for men/women and white/non-white ethnicity. We then followed the same model fitting procedure as in the main analysis with the addition of control variables for gender, ethnicity, and age on both the “a” path and the “b” paths of the mediation model. Our hypothesized model had good fit, χ2 = 252, df = 76, p < 0.0001, RMSEA = 0.06 [90% confidence interval (CI) = 0.05, 0.07], CFI = 0.95, TLI = 0.94, SRMR = 0.04. On the negative pathway, all predicted relationships and indirect effects observed in the previous model remained significant. On the positive pathway, the effect of rumination on positive affect (b1 path; std. β = −0.10, p = 0.090) turned non-significant. This appears to be due to a lack of power rather than a confounding effect since the effect size remained virtually unchanged. The indirect effect of time with nature on positive affect through rumination remained marginally significant and the effect size remained unchanged.
Discussion
Summary of Findings
Urbanization is taking place around the globe at an unprecedented rate. Over half of humanity now lives in urban areas, and projections suggest that this trend will continue over the next several decades (Dye, 2008). With this trend comes a marked decrease in the rate of regular contact with natural environments (Skår and Krogh, 2009), and there is growing evidence that there may be negative repercussions for human affective functioning due to the lack of nature experience that accompanies urbanization (for reviews see Bratman et al., 2012; Frumkin et al., 2017). However, little is known about the mechanisms underlying the affective impacts of nature experience.
In this study, we used structural equation modeling of cross-sectional data to test a hypothesized pathway of the affective benefits of nature experience through rumination. Our results supported our hypotheses that (H1) average weekly time spent in nature would be positively associated with levels of positive affect, and inversely associated with negative affect, (H2) average weekly time spent in nature would be associated with lower levels of rumination, and partially supported (H3) average weekly time spent in nature would be significantly and indirectly related to positive and negative affect through lower levels of rumination, insofar as we found a relationship that is consistent with rumination marginally significantly mediating the relationship between time in nature and positive affect, and significantly mediating the relationship between time in nature and negative affect. When accounting for rumination, the direct effect of time in nature on positive affect was virtually unchanged and still significant, whereas it was non-significant for negative affect. This marginal mediation for positive affect could be due to other factors that relate time in nature with positive affect, including but not limited to stress reduction through physiological pathways that bypass executive function (Ulrich et al., 1991). Although the magnitude of the total effect of time in nature on affect was larger along the positive affect pathway, it appears that the effect of time in nature on rumination is more consequential for negative affect. This may be due to the possibility that rumination is associated to a greater degree with negative vs. positive affect, or that different emotion regulation pathways underlie the relationship of nature contact with the distinct and often independent dimensions of negative and positive affect (Watson et al., 1988).
Although this study is cross-sectional, our findings suggest that nature experience may result in affective benefits via decreases in rumination, especially through the mediation of negative affect. Why might nature exposure lead to changes in rumination? Three mutually compatible possibilities merit consideration.
First, in line with ART, nature experience may result in a replenishment of directed attention, an engagement of “soft fascination,” increased cognitive control, and an increased ability to reflect (Berto, 2005; Schertz et al., 2018; Basu et al., 2019; Wells et al., 2019). A subsequent broadening of attentional scope may follow, thereby potentially decreasing rumination through the facilitation of greater access to more semantic information (Grol et al., 2015). Additionally, through pleasantness, novelty, or other aesthetic characteristics, it is possible that natural environments may encourage a distraction away from the self—a strategy that has been shown to decrease rumination and anxiety (Nolen-Hoeksema et al., 2008). Prior work has hypothesized that nature may provide opportunity for this “positive distraction” (Jiang et al., 2019).
Second, according to control theory, repetitive thought may be initiated with the intention of promoting progress toward the achievement of a goal (Martin and Tesser, 1996). This repetitive thought can become ruminative in cases in which an individual is focused on the discrepancy between a current state and the desired state of having achieved the goal, while not making progress toward its achievement (Watkins, 2008). The focus of attention on this discrepancy can perpetuate a sense of incompleteness and lack of resolution, leading to increased negative affect. This negative affect can, in turn, increase a belief that progress has not been made toward goal achievement (Chan et al., 2013). This pattern of rumination may continue, unless and until a disengagement with the underlying goal is attained (Watkins, 2008), as the individual may falsely believe that the rumination is constructive and helpful in achieving the goal, when this is not in fact the case (Hawksley and Davey, 2010). With regard to nature experience, natural landscapes may differ from urban ones with respect to environmental cues (e.g., advertisements, cues regarding social hierarchy) or reminders of these goals (i.e., comparatively fewer of these cues may exist in natural environments). Nature may thus encourage a disengagement from goal pursuit, thereby decreasing ruminative repetitive thought. Additionally, our finding of an association of nature experience with positive affect may have implications in this sense, as positive affect may increase the likelihood that an individual feels he or she has achieved a goal (Hawksley and Davey, 2010; Chan et al., 2013).
Third, a change in context from an urban environment to a natural one may also have repercussions for conditioned, habitual thinking patterns that are consciously or unconsciously reinforced by environmental stimuli (Aldao, 2013). The habit-goal framework (Watkins and Nolen-Hoeksema, 2014) of depressive rumination posits that the types of ruminative, repetitive thoughts associated with goal discrepancies that are outlined above may become habitual – and that an “automatic association” can be formed between this particular response and the context (e.g., a physical location) in which it occurs (Watkins and Nolen-Hoeksema, 2014). In line with operant conditioning and associative learning, a response-outcome association can be contingent upon a given context. Eventually the behavioral response may be triggered automatically by the context, regardless of the salience of the goal. With this model in mind, it seems possible that for an individual for whom a habit of ruminative thought is formed in an urban or suburban context, a change in context to a natural environment could provide an atmosphere that breaks such habitual patterns of thought.
Conclusions and Limitations
Our findings suggest that average weekly nature contact is associated with general affect and rumination, and that the associations of nature contact with negative affect (and potentially positive affect) may be explained at least in part through a decreased tendency to engage in maladaptive emotion regulation (i.e., rumination). This represents a step forward in the exploration of the relationship between environment and emotion-regulatory strategies. Given our uncertainty regarding effect sizes, we opted for the use of a cross-sectional, large-N survey. Although our findings of mediation are consistent with a causal account in which nature exposure has its effects on affective outcomes via rumination, the cross-sectional nature of the current data preclude causal inferences, and additionally the effect size of the indirect effect for positive affect was very small. However, given our measures of average contact with nature and general levels of rumination, it is also possible that the strength of the association is in fact an underestimation, and that the short-term impact on rumination from nature contact is more pronounced than the magnitude of our coefficients indicate. In future work, it will be important to extend the present findings in longitudinal, experimental studies that allow for the establishment of a temporal sequencing and causal pathways among variables. Additionally, although we attempted to collect as many responses as possible over a 16-month period, future studies should endeavor to conduct formal power analyses based on available evidence. It is also interesting to note that the size of the direct effect of nature contact on positive affect was small/moderate, and that this effect remained virtually unchanged after accounting for the small indirect effect via rumination. Future work should examine whether the remaining unexplained direct effect of time in nature on positive affect travels via other emotion regulation strategies or by other mechanisms entirely.
A second important direction for future research is to expand the types of participants included. Our sample was restricted to college students from the San Francisco Bay Area, thus limiting the generalizability of our findings. In future work, it will be important to consider the impact of nature experience on affect for individuals from community samples, including participants with clinically significant variation in affect, such as those with anxiety or depressive disorders.
A third research direction is to further clarify the pathway by which emotion regulation mediates the link between nature exposure and affective outcomes. For example, it is possible that general tendencies to ruminate mediate nature visitation through experiential avoidance and behavioral withdrawal—individuals with high levels of dispositional rumination may experience difficulty in visiting or engaging in nature contact, consistent with its role in depression (Cribb et al., 2006; Dickson et al., 2012). This in turn could impact the degree to which individuals feel able to visit and benefit from the restorative and self-regulating aspects of nature (Korpela et al., 2018, 2020)—a form of situation selection that could have negative affective consequences. Future research should also consider a broader set of emotion regulation processes in order to more clearly delineate which emotion regulation strategies play crucial roles and other, adaptive modes of emotion regulation as well. For example, Panno et al. (2020) found that higher levels of self-reported frequency of use of cognitive reappraisal was associated with individuals' experience of “being away” in natural environments.
A fourth direction for future research is suggested by our measure of nature exposure. This measure was designed to limit participant burden, and it therefore lacks information on frequency and type of nature exposure. Our concerns on this front are tempered by the fact that other studies support the validity of using a single-item measure, in particular with respect to the focus on duration, as it relates to overall subjective well-being. White et al. (2019) found an association of nature exposure duration (calculated as weekly nature contact reported in 60-min blocks) with self-reported health and well-being. And Shanahan et al. (2016) found that prevalence of depression was associated with the aspect of their nature contact assessments that was tied to duration (also measured in weekly minutes per week). Additionally, in separate analyses we found that our single-item measure correlates strongly with these items from Shanahan et al. (2016) (see Supplemental Material)—further indicating that our specific measure is capturing duration of nature contact, as well as some of the predictive power of visit frequency. Future work should further investigate the specific affective and emotion regulation outcomes that are associated with duration vs. frequency of nature contact, as well as the forms of interaction (e.g., active vs. passive exposure) and natural elements with which this contact occurs (Kahn et al., 2010; Holt et al., 2019). The wording of our measure could also be further examined and potentially adjusted in future work to increase certainty that it specifically relates to exclusively natural environments, and to allow for a comparison of more vs. less physically active types of nature contact, as some work has shown that this may mediate the association of nature exposure with well-being, though this evidence is mixed (de Vries et al., 2013; Dadvand et al., 2016; Frumkin et al., 2017). Finally, it will be important to examine the ways in which different types of nature impact different people differently, and how different aspects of the urban environment moderate the impacts of these effects on well-being (Keniger et al., 2013; Sullivan et al., 2014; Bratman et al., 2019; Keeler et al., 2019). Future work could also integrate lengthier measures of rumination than our five-item assessment, though it is a validated measure and showed good internal consistency.
In the present research, we focused on rumination as a mediator of the impact of nature experience on affective responding. We believe that the present findings support and inform an important, emerging area of research at the nexus of environment and emotion regulation. Future work should expand upon these results and continue to investigate the ways in which nature may be incorporated into the broader frameworks that consider the social and environmental predictors of human health that are relevant to urban planning.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by Stanford University Human Subjects Committee. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
GB, GY, IL, GD, and JG conceived of and conducted the study. AM and IL completed data analyses. GB and GY collected all data. GB, GY, AM, IL, GD, and JG contributed to framing and writing the manuscript. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We thank the Institute for Research in the Social Sciences (IRiSS) and the research assistants who contributed to this work, including members of the Stanford Center for Conservation Biology, the Stanford Psychophysiology Laboratory, and the Emmett Interdisciplinary Program in Environment and Resources (EIPER). Lior Bugatus, Paul R. Ehrlich, and Peter Kareiva provided key input and many helpful discussions throughout. GB appreciates support from the Doug Walker Endowed Professorship, Craig McKibben and Sarah Merner, John Miller, UW Nature and Health, the Marianne and Marcus Wallenberg Foundation, and the JPB Environmental Health Fellowship. The dataset for this study is available upon request.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.643866/full#supplementary-material
References
Aldao, A. (2013). The future of emotion regulation research: capturing context. Perspect. Psychol. Sci. 8, 155–172. doi: 10.1177/1745691612459518
Aldao, A., and Nolen-Hoeksema, S. (2010). Specificity of cognitive emotion regulation strategies: a transdiagnostic examination. Behav. Res. Ther. 48, 974–983. doi: 10.1016/j.brat.2010.06.002
Aspinall, P., Mavros, P., Coyne, R., and Roe, J. (2015). The urban brain: analysing outdoor physical activity with mobile EEG. Br. J. Sports Med. 49, 272–276. doi: 10.1136/bjsports-2012-091877
Basu, A., Duvall, J., and Kaplan, R. (2019). Attention restoration theory: exploring the role of soft fascination and mental bandwidth. Environ. Behav. 51, 1055–1081. doi: 10.1177/0013916518774400
Berman, M. G., Jonides, J., and Kaplan, S. (2008). The cognitive benefits of interacting with nature. Psychol. Sci. 19, 1207–1212. doi: 10.1111/j.1467-9280.2008.02225.x
Berman, M. G., Kross, E., Krpan, K. M., Askren, M. K., Burson, A., Deldin, P. J., et al. (2012). Interacting with nature improves cognition and affect for individuals with depression. J. Affect. Disord. 140, 300–305. doi: 10.1016/j.jad.2012.03.012
Berto, R. (2005). Exposure to restorative environments helps restore attentional capacity. J. Environ. Psychol. 25, 249–259. doi: 10.1016/j.jenvp.2005.07.001
Bowler, D. E., Buyung-Ali, L. M., Knight, T. M., and Pullin, A. S. (2010). A systematic review of evidence for the added benefits to health of exposure to natural environments. BMC Public Health 10:456. doi: 10.1186/1471-2458-10-456
Bratman, G. N., Anderson, C. B., Berman, M. G., Cochran, B., de Vries, S., Flanders, J., et al. (2019). Nature and mental health: an ecosystem service perspective. Sci. Adv. 5:eaax0903. doi: 10.1126/sciadv.aax0903
Bratman, G. N., Daily, G. C., Levy, B. J., and Gross, J. J. (2015a). The benefits of nature experience: improved affect and cognition. Landsc. Urban Plann. 138, 41–50. doi: 10.1016/j.landurbplan.2015.02.005
Bratman, G. N., Hamilton, J. P., and Daily, G. C. (2012). The impacts of nature experience on human cognitive function and mental health. Ann. NY. Acad. Sci. 1249, 118–136. doi: 10.1111/j.1749-6632.2011.06400.x
Bratman, G. N., Hamilton, J. P., Hahn, K. S., Daily, G. C., and Gross, J. J. (2015b). Nature experience reduces rumination and subgenual prefrontal cortex activation. Proc. Natl. Acad. Sci. U.S.A. 112, 8567–8572. doi: 10.1073/pnas.1510459112
Chan, J. C. S., Davey, G. C. L., and Brewin, C. R. (2013). Understanding depressive rumination from a mood-as-input perspective: effects of stop-rule manipulation. Behav. Res. Ther. 51, 300–306. doi: 10.1016/j.brat.2013.02.007
Chang, C., Oh, R. R. Y., Nghiem, T. P., Le, Z.hang, Y., Tan, C. L. Y., Lin, B. B., et al. (2020). Life satisfaction linked to the diversity of nature experiences and nature views from the window. Landsc. Urban Plann. 202:103874. doi: 10.1016/j.landurbplan.2020.103874
Cribb, G., Moulds, M. L., and Carter, S. (2006). Rumination and experiential avoidance in depression. Behav. Change 23, 165–176. doi: 10.1375/bech.23.3.165
Dadvand, P., Bartoll, X., Basagaña, X., Dalmau-Bueno, A., Martinez, D., Ambros, A., et al. (2016). Green spaces and general health: roles of mental health status, social support, and physical activity. Environ. Int. 91, 161–167. doi: 10.1016/j.envint.2016.02.029
de Vries, S., van Dillen, S. M. E., Groenewegen, P. P., and Spreeuwenberg, P. (2013). Streetscape greenery and health: stress, social cohesion and physical activity as mediators. Soc. Sci. Med. 94, 26–33. doi: 10.1016/j.socscimed.2013.06.030
Dickson, K. S., Ciesla, J. A., and Reilly, L. C. (2012). Rumination, worry, cognitive avoidance, and behavioral avoidance: examination of temporal effects. Behav. Ther. 43, 629–640. doi: 10.1016/j.beth.2011.11.002
Fong, K. C., Hart, J. E., and James, P. (2018). A review of epidemiologic studies on greenness and health: updated literature through 2017. Curr. Environ. Health Rep. 5, 77–87. doi: 10.1007/s40572-018-0179-y
Frumkin, H., Bratman, G. N., Breslow, S. J., Cochran, B., Kahn, P. H., Lawler, J. J., et al. (2017). Nature contact and human health: a research agenda. Environ. Health Perspect. 125:075001. doi: 10.1289/EHP1663
Genet, J. J., and Siemer, M. (2012). Rumination moderates the effects of daily events on negative mood: results from a diary study. Emotion 12, 1329–1339. doi: 10.1037/a0028070
Gonzalez, M. T., Hartig, T., Patil, G. G., Martinsen, E. W., and Kirkevold, M. (2010). Therapeutic horticulture in clinical depression: a prospective study of active components. J. Adv. Nurs. 66, 2002–2013. doi: 10.1111/j.1365-2648.2010.05383.x
Grol, M., Hertel, P. T., Koster, E. H. W., and De Raedt, R. (2015). The effects of rumination induction on attentional breadth for self-related information. Clin. Psychol. Sci. 3, 607–618. doi: 10.1177/2167702614566814
Gunzler, D., Chen, T., Wu, P., and Zhang, H. (2013). Introduction to mediation analysis with structural equation modeling. Shanghai Arch. Psychiatry 25, 390–394. doi: 10.3969/j.issn.1002-0829.2013.06.009
Hartig, T.erry, Evans, G. W., Jamner, L. D., Davis, D. S., and Gärling, T. (2003). Tracking restoration in natural and urban field settings. J. Environ. Psychol. 23, 109–123. doi: 10.1016/S0272-4944(02)00109-3
Hawksley, J., and Davey, G. C. L. (2010). Mood-as-input and depressive rumination. Behav. Res. Ther. 48, 134–140. doi: 10.1016/j.brat.2009.10.004
Holt, E. W., Lombard, Q. K., Best, N., Smiley-Smith, S., and Quinn, J. E. (2019). Active and passive use of green space, health, and well-being amongst university students. Int. J. Environ. Res. Public Health 16:16030424. doi: 10.3390/ijerph16030424
Hoyle, R. H., and Panter, A. T. (1995). “Writing about structural equation models,” in Structural Equation Modeling: Concepts, Issues, and Applications: Concepts, Issues, and Applications, eds R. H. Hoyle (Thousand Oaks, CA: SAGE Publications), 158–176.
Hu, L., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. 6, 1–55. doi: 10.1080/10705519909540118
Iacobucci, D., Saldanha, N., and Deng, X. (2007). A meditation on mediation: Evidence that structural equations models perform better than regressions. J. Consum. Psychol. 17, 139–153. doi: 10.1016/S1057-7408(07)70020-7
Jiang, B., Wang, H., Larsen, L., Bao, F., Li, Z., and Pryor, M. (2019). Quality of sweatshop factory outdoor environments matters for workers' stress and anxiety: a participatory smartphone-photography survey. J. Environ. Psychol. 65:101336. doi: 10.1016/j.jenvp.2019.101336
Johnsen, S. Å. K., and Rydstedt, L. W. (2013). Active use of the natural environment for emotion regulation. Eur. J. Psychol. 9, 798–819. doi: 10.5964/ejop.v9i4.633
Joormann, J., and Gotlib, I. H. (2010). Emotion regulation in depression: relation to cognitive inhibition. Cogn. Emotion 24, 281–298. doi: 10.1080/02699930903407948
Kahn, P. H. Jr., Ruckert, J. H., Severson, R. L., Reichert, A. L., and Fowler, E. (2010). A nature language: an agenda to catalog, save, and recover patterns of human–nature interaction. Ecopsychology 2, 59–66. doi: 10.1089/eco.2009.0047
Kaplan, S. (1995). The restorative benefits of nature: toward an integrative framework. J. Environ. Psychol. 15, 169–182. doi: 10.1016/0272-4944(95)90001-2
Keeler, B. L., Hamel, P., McPhearson, T., Hamann, M. H., Donahue, M. L., Meza Prado, K. A., et al. (2019). Social-ecological and technological factors moderate the value of urban nature. Nat. Sustain. 2, 29–38. doi: 10.1038/s41893-018-0202-1
Keniger, L., Gaston, K., Irvine, K., and Fuller, R. (2013). What are the benefits of interacting with nature? Int. J. Environ. Res. Public Health 10, 913–935. doi: 10.3390/ijerph10030913
Kondo, M. C., Fluehr, J. M., McKeon, T., and Branas, C. C. (2018). Urban green space and its impact on human health. Int. J. Environ. Res. Public Health 15:15030445. doi: 10.3390/ijerph15030445
Korpela, K., Korhonen, M., Nummi, T., Martos, T., and Sallay, V. (2020). Environmental self-regulation in favourite places of Finnish and Hungarian adults. J. Environ. Psychol, 67:101384. doi: 10.1016/j.jenvp.2019.101384
Korpela, K. M., Hartig, T., Kaiser, F. G., and Fuhrer, U. (2001). Restorative experience and self-regulation in favorite places. Environ. Behav. 33, 572–589. doi: 10.1177/00139160121973133
Korpela, K. M., Pasanen, T., Repo, V., Hartig, T., Staats, H., Mason, M., et al. (2018). Environmental strategies of affect regulation and their associations with subjective well-being. Front. Psychol. 9, 1–15. doi: 10.3389/fpsyg.2018.00562
Korpela, K. M., Ylén, M., Tyrväinen, L., and Silvennoinen, H. (2008). Determinants of restorative experiences in everyday favorite places. Health Place 14, 636–652. doi: 10.1016/j.healthplace.2007.10.008
Little, T. D., Cunningham, W. A., Shahar, G., and Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Struct. Equ. Modeling. 9, 151–173. doi: 10.1207/S15328007SEM0902_1
Mackinnon, D. P., Lockwood, C. M., and Williams, J. (2004). Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivar. Behav. Res 39:99. doi: 10.1207/s15327906mbr3901_4
Marsh, H. W., Hau, K.-T., and Wen, Z. (2004). In search of golden rules: comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Struct. Equ. Model. 11, 320–341. doi: 10.1207/s15328007sem1103_2
Martin, L. L., and Tesser, A. (1996). “Some ruminative thoughts.” in Ruminative Thoughts: Advances in Social Cognition, Vol. 9, ed R. S. Wyer (Hillsdale, NJ: Erlbaum), 1–47.
Mitchell, R. J., Richardson, E. A., and Shortt, N. K. (2015). Neighborhood environments and socioeconomic inequalities in mental well-being. Am. J. Prevent.Med. 49, 80–84.
Moberly, N. J., and Watkins, E. R. (2008). Ruminative self-focus, negative life events, and negative affect. Behav. Res. Ther. 46, 1034–1039. doi: 10.1016/j.brat.2008.06.004
Nolen-Hoeksema, S. (2000). The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. J. Abnor. Psychol. 109, 504–511. doi: 10.1037/0021-843X.109.3.504
Nolen-Hoeksema, S., Wisco, B. E., and Lyubomirsky, S. (2008). Rethinking rumination. Perspect. Psychol. Sci. 3, 400–424. doi: 10.1111/j.1745-6924.2008.00088.x
Panno, A., Theodorou, A., Carrus, G., Imperatori, C., Spano, G., and Sanesi, G. (2020). Nature reappraisers, benefits for the environment: a model linking cognitive reappraisal, the “being away” dimension of restorativeness and eco-friendly behavior. Front. Psychol. 11, 1–10. doi: 10.3389/fpsyg.2020.01986
Park, B. J., Tsunetsugu, Y., Kasetani, T., Kagawa, T., and Miyazaki, Y. (2010). The physiological effects of Shinrin-yoku (taking in the forest atmosphere or forest bathing): evidence from field experiments in 24 forests across Japan. Environ. Health Prev. Med. 15, 18–26.
Pasanen, T. P., Neuvonen, M., and Korpela, K. M. (2018). The psychology of recent nature visits: (how) are motives and attentional focus related to post-visit restorative experiences, creativity, and emotional well-being? Environ. Behav. 50, 913–944. doi: 10.1177/0013916517720261
Roelofs, J., Rood, L., Meesters, C., te Dorsthorst, V., Bögels, S., Alloy, L. B., et al. (2009). The influence of rumination and distraction on depressed and anxious mood: a prospective examination of the response styles theory in children and adolescents. Eur. Child Adolesc. Psychiatry 18, 635–642. doi: 10.1007/s00787-009-0026-7
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling and More Version 0.5-12 (BETA). Available online at: http://cran.r-project.org/. (accessed June 15, 2020)
Schertz, K. E., Sachdeva, S., Kardan, O., Kotabe, H. P., Wolf, K. L., and Berman, M. G. (2018). A thought in the park: the influence of naturalness and low-level visual features on expressed thoughts. Cognition 174, 82–93. doi: 10.1016/j.cognition.2018.01.011
Shanahan, D. F., Bush, R., Gaston, K. J., Lin, B. B., Dean, J., Barber, E., et al. (2016). Health benefits from nature experiences depend on dose. Sci. Rep. 6:28551. doi: 10.1038/srep28551
Skår, M., and Krogh, E. (2009). Changes in children's nature-based experiences near home: from spontaneous play to adult-controlled, planned and organised activities. Child. Geogr.7, 339–354. doi: 10.1080/14733280903024506
Snell, T. L., Simmonds, J. G., and Klein, L. M. (2020). Exploring the impact of contact with nature in childhood on adult personality. Urban Forest. Urban Greening 55:126864. doi: 10.1016/j.ufug.2020.126864
South, E. C., Hohl, B. C., Kondo, M. C., MacDonald, J. M., and Branas, C. C. (2018). Effect of greening vacant land on mental health of community-dwelling adults: a cluster randomized trial. JAMA Net. Open. 1, e180298-e180298.
Sterba, S. K. (2011). Implications of Parcel-Allocation Variability for Comparing Fit of Item-Solutions and Parcel-Solutions. Struct. Equ. Modeling. 18, 554–577. doi: 10.1080/10705511.2011.607073
Sullivan, W. C., Frumkin, H., Jackson, R. J., and Chang, C. Y. (2014). Gaia meets Asclepius: creating healthy places. Landsc. Urban Plan. 127, 182–184. doi: 10.1016/j.landurbplan.2014.03.005
Treynor, W., Gonzalez, R., and Nolen-Hoeksema, S. (2003). Rumination reconsidered: a psychometric analysis. Cogn. Ther. Res. 27, 247–259. doi: 10.1023/A:1023910315561
Ulrich, R. S., Simons, R. F., Losito, B. D., Fiorito, E., Miles, M. A., and Zelson, M. (1991). Stress recovery during exposure to natural and urban environments. J. Environ. Psychol. 11, 201–230. doi: 10.1016/S0272-4944(05)80184-7
van den Berg, M., van Poppel, M., van Kamp, I., Andrusaityte, S., Balseviciene, B., Cirach, M., et al. (2016). Visiting green space is associated with mental health and vitality: a cross-sectional study in four european cities. Health Place 38, 8–15. doi: 10.1016/j.healthplace.2016.01.003
Watkins, E. R. (2008). Constructive and unconstructive repetitive thought. Psychol. Bull. 134, 163–206. doi: 10.1037/0033-2909.134.2.163
Watkins, E. R., and Nolen-Hoeksema, S. (2014). A habit-goal framework of depressive rumination. J. Abnorm. Psychol. 123, 24–34. doi: 10.1037/a0035540
Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS Scales. J. Pers. Soc. Psychol. 54, 1063–1070. doi: 10.1037/0022-3514.54.6.1063
Wells, N. M., Rollings, K. A., Ong, A. D., and Reid, M. C. (2019). Nearby nature buffers the pain catastrophizing–pain intensity relation among urban residents with chronic pain. Front. Built Environ. 5, 1–13. doi: 10.3389/fbuil.2019.00142
Wheeler, B. W., Lovell, R., Higgins, S. L., White, M. P., Alcock, I., Osborne, N. J., et al. (2015). Beyond greenspace: an ecological study of population general health and indicators of natural environment type and quality. Int. J. Health Geograph. 14:17. doi: 10.1186/s12942-015-0009-5
White, M. P., Alcock, I., Grellier, J., Wheeler, B. W., Hartig, T., Warber, S. L., et al. (2019). Spending at least 120 minutes a week in nature is associated with good health and wellbeing. Sci. Rep. 9, 1–11. doi: 10.1038/s41598-019-44097-3
White, M. P., Alcock, I., Wheeler, B. W., and Depledge, M. H. (2013). Would you be happier living in a greener urban area? A fixed-effects analysis of panel data. Psychol. Sci. 24, 920–928. doi: 10.1177/0956797612464659
Keywords: nature contact, emotion regulation, affect, structural equation analysis, rumination
Citation: Bratman GN, Young G, Mehta A, Lee Babineaux I, Daily GC and Gross JJ (2021) Affective Benefits of Nature Contact: The Role of Rumination. Front. Psychol. 12:643866. doi: 10.3389/fpsyg.2021.643866
Received: 19 December 2020; Accepted: 10 February 2021;
Published: 10 March 2021.
Edited by:
Angelo Panno, European University of Rome, ItalyReviewed by:
Claudio Imperatori, European University of Rome, ItalyGiuseppina Spano, University of Bari Aldo Moro, Italy
Copyright © 2021 Bratman, Young, Mehta, Lee Babineaux, Daily and Gross. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Gregory N. Bratman, YnJhdG1hbiYjeDAwMDQwO3V3LmVkdQ==