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Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study
Agricultural intensification and expanding protected areas are proposed sustainable development approaches. But, their consequences for mental health are poorly understood. This study aims to predict how forest conservation and contract farming may alter resource access and depression risk in rural...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270416/ https://www.ncbi.nlm.nih.gov/pubmed/35804170 http://dx.doi.org/10.1038/s41598-022-14976-3 |
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author | Pienkowski, Thomas Keane, Aidan Kinyanda, Eugene Asiimwe, Caroline Milner-Gulland, E. J. |
author_facet | Pienkowski, Thomas Keane, Aidan Kinyanda, Eugene Asiimwe, Caroline Milner-Gulland, E. J. |
author_sort | Pienkowski, Thomas |
collection | PubMed |
description | Agricultural intensification and expanding protected areas are proposed sustainable development approaches. But, their consequences for mental health are poorly understood. This study aims to predict how forest conservation and contract farming may alter resource access and depression risk in rural Uganda. Residents (N = 695) in 11 communities in Masindi District were asked about their expectations under land management scenarios using scenario-based interviews, household characteristics and depression symptoms. Over 80% of respondents presented with a ‘business-as-usual forest access’ scenario expected reduced access to forest income and food over the next decade; this number climbed above 90% among ‘restricted forest access’ scenario respondents. Over 99% of those presented with two land access scenarios (‘business-as-usual land access’ and ‘sugarcane expansion land access’) expected wealthy households to gain land but poorer families to lose it, threatening to increase poverty and food insecurity among small-scale farmers. Bayesian structural equation modelling suggested that depression severity was positively associated with food insecurity (0.20, 95% CI = 0.12–0.28) and economic poverty (0.11, 95% CI 0.02–0.19). Decision-makers should evaluate the mental health impacts of conservation and agricultural approaches that restrict access to livelihood resources. Future research could explore opportunities to support mental health through sustainable use of nature. |
format | Online Article Text |
id | pubmed-9270416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92704162022-07-10 Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study Pienkowski, Thomas Keane, Aidan Kinyanda, Eugene Asiimwe, Caroline Milner-Gulland, E. J. Sci Rep Article Agricultural intensification and expanding protected areas are proposed sustainable development approaches. But, their consequences for mental health are poorly understood. This study aims to predict how forest conservation and contract farming may alter resource access and depression risk in rural Uganda. Residents (N = 695) in 11 communities in Masindi District were asked about their expectations under land management scenarios using scenario-based interviews, household characteristics and depression symptoms. Over 80% of respondents presented with a ‘business-as-usual forest access’ scenario expected reduced access to forest income and food over the next decade; this number climbed above 90% among ‘restricted forest access’ scenario respondents. Over 99% of those presented with two land access scenarios (‘business-as-usual land access’ and ‘sugarcane expansion land access’) expected wealthy households to gain land but poorer families to lose it, threatening to increase poverty and food insecurity among small-scale farmers. Bayesian structural equation modelling suggested that depression severity was positively associated with food insecurity (0.20, 95% CI = 0.12–0.28) and economic poverty (0.11, 95% CI 0.02–0.19). Decision-makers should evaluate the mental health impacts of conservation and agricultural approaches that restrict access to livelihood resources. Future research could explore opportunities to support mental health through sustainable use of nature. Nature Publishing Group UK 2022-07-08 /pmc/articles/PMC9270416/ /pubmed/35804170 http://dx.doi.org/10.1038/s41598-022-14976-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pienkowski, Thomas Keane, Aidan Kinyanda, Eugene Asiimwe, Caroline Milner-Gulland, E. J. Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title | Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title_full | Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title_fullStr | Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title_full_unstemmed | Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title_short | Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study |
title_sort | predicting the impacts of land management for sustainable development on depression risk in a ugandan case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270416/ https://www.ncbi.nlm.nih.gov/pubmed/35804170 http://dx.doi.org/10.1038/s41598-022-14976-3 |
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