| Literature DB >> 33319792 |
Tanja Sobko1, Suisha Liang2, Will H G Cheng1, Hein M Tun3,4.
Abstract
Due to rapid urbanization, children today have fewer opportunities to interact with nature and this may result in a greater risk for developing stress and depression. Outdoor nature-related activities can enhance general well-being. However, the underlying mechanisms are not fully delineated. Here we recruited 54 preschool children to participate in a 10-week structured nature-related "Play&Grow" program. Following the intervention, children were assessed for connectedness to nature and perceived stress levels using validated questionnaires. Moreover, fecal serotonin level and gut microbiota profiles were measured by ELISA and 16S rDNA amplicon sequencing, respectively. Children were significantly more connected to nature after the intervention. Their gut microbiota altered, especially by modulating the abundance of Roseburia and the fecal-serotonin level. Moreover, we also observed a reduction in the overall perceived stress, particularly in the frequency of anger among these children. This study is the first to demonstrate the impact of nature-related activities on gut microbiota, fecal serotonin and psychosocial behaviour of preschool children. However, further mechanistic studies are needed to confirm the functional role of gut microbiota in the association between connectedness to nature and improved psychosocial behavior.Entities:
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Year: 2020 PMID: 33319792 PMCID: PMC7738543 DOI: 10.1038/s41598-020-78642-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flowchart of the RCT.
Figure 2Change in serotonin and child psychosocial measurements. (a) Change in fecal serotonin between IG (n = 23) and CG (n = 15), pre- and post-intervention. (b) Change in PSS-C score in child psychosocial measurements between IG (n = 20) and CG (n = 9). (c) Change in score of anger in child psychosocial measurements between IG (n = 24) and CG (n = 12). (d) Change in score of prosocial in child psychosocial measurements between IG (n = 24) and CG (n = 12). (e) Association between serotonin and PSS-C score. (f) Association between serotonin and anger frequency. (g) Association between serotonin and adequate sleep. In (a) to (d) blue colour indicated pre-samples, yellow colour indicated post-samples. In (e), different colour of node and dotted-line indicated different individual, and the black dotted-line indicated the overall association. In (f) and (g), four colour indicated four degrees of anger and adequate sleep frequency.
Figure 3Alpha diversity changes between pre- and post-intervention in IG (n = 27) and CG (n = 18). (a) Shannon index of Actinobacteria. (b) Simpson index of Actinobacteria. (c) Chao1 index of Bacteroidetes. (d) Shannon index of Firmicutes. (e) Simpson index of Firmicutes. (f) Chao1 index of Proteobacteria. Blue colour indicated pre-samples, yellow colour indicated post-samples.
Figure 4Associations between serotonin, stress items and gut microbiome. (a) and (b) Canonical Correlation Analysis (CCA) in CG and IG samples. Blue node indicated the pre-intervention samples; yellow node indicated the post- samples. (c) Heatmap of correlations between serotonin and gut microbiota species. Only the significant associated factors on gut microbiota in spearman correlation were listed. Colour in each cell of the heatmap indicated spearman correlation of serotonin and species abundance. Only the p value of association less than 0.05 were chosen for display in this figure. (d) Associations between gut microbiota functions and stress items, and changes in microbiota functions by the intervention. The heatmap indicated the spearman correlation between metabolic functions of gut microbiota and children’s stress items. +p value less than 0.1; *p value less than 0.05; **p value less than 0.01. *in the front of the column name indicated we used the reversed score rather than the original score.
Figure 5Associations between gut microbiota and Anger frequency. (a) Association between Shannon index of Bacteroidetes and anger frequency. (b) Association between Simpson index of Bacteroidetes and anger frequency. (c) Association between bray distance of species level and anger frequency. (d) Association between the abundance of Roseburia Other species and anger frequency. (e) Association between the abundance of Roseburia faecis species and anger frequency. Four colours indicated four degrees of anger frequency.