scholarly journals Global forestry areas, deforestation and mental health: a worldwide ecological study

Author(s):  
Alice V. Bolton ◽  
Doreen Montag ◽  
Valentina Gallo
2021 ◽  
Vol 271 (2) ◽  
pp. 219-221
Author(s):  
Stefan Leucht ◽  
Andrea Cipriani ◽  
Toshi A. Furukawa ◽  
Natalie Peter ◽  
Thomy Tonia ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221977 ◽  
Author(s):  
Amber L. Pearson ◽  
Ashton Shortridge ◽  
Paul L. Delamater ◽  
Teresa H. Horton ◽  
Kyla Dahlin ◽  
...  

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Francisco Caamano-Isorna ◽  
Adolfo Figueiras ◽  
Isabel Sastre ◽  
Agustín Montes-Martínez ◽  
Margarita Taracido, ◽  
...  

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Håkon A Johannessen ◽  
Gudrun Dieserud ◽  
Bjørgulf Claussen ◽  
Per-Henrik Zahl

2015 ◽  
Vol 70 (4) ◽  
pp. 339-345 ◽  
Author(s):  
B Barr ◽  
D Taylor-Robinson ◽  
D Stuckler ◽  
R Loopstra ◽  
A Reeves ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lucy Maconick ◽  
Luke Sheridan Rains ◽  
Rebecca Jones ◽  
Brynmor Lloyd-Evans ◽  
Sonia Johnson

Abstract Background There is evidence of geographical variation in the use of mental health services in the UK and in international settings. It is important to understand whether this variation reflects differences in the prevalence of mental disorders, or if there is evidence of variation related to other factors, such as population socioeconomic status and access to primary care services. Methods This is a cross-sectional ecological study using Public Health England data. The unit of analysis was the population served by clinical commissioning groups (CCGs), National Health Service (NHS) catchment areas. The analysis explored associations between area characteristics and the number of people in contact with mental health services using regression modelling. Explanatory variables included age, gender, prevalence of severe mental illness (SMI), prevalence of common mental disorder (CMD), index of multiple deprivation (IMD), unemployment, proportion of the population who are Black and Minority Ethnic (BAME), population density, access to and recovery in primary care psychological therapies. Unadjusted results are reported, as well as estimates adjusted for age, prevalence of CMD and prevalence of SMI. Results The populations of 194 CCGs were included, clustered within 62 trusts (NHS providers of mental health services). The number of people in contact with mental health services showed wide variation by area (range from 1131 to 5205 per 100,000 population). Unemployment (adjusted IRR 1.11; 95% CI 1.05 to 1.17; p < 0.001) and deprivation (adjusted IRR 1.02 95% CI 1.01 to 1.04; p < 0.001) were associated with more people being in contact with mental health services. Areas with a higher proportion of the population who are BAME (IRR 0.95 95% CI 0.92 to 0.99 p = 0.007) had lower service use per 100,000 population. There was no evidence for association with access to primary care psychological therapies. Conclusions There is substantial variation in the use of mental health services by area of England. Social factors including deprivation, unemployment and population ethnicity continued to be associated with the outcome after controlling for the prevalence of mental illness. This suggests that there are factors that influence the local population use of mental health services in addition to the prevalence of mental disorder.


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