Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities
Objective: Over 900 million people in sub-Saharan Africa (SSA) live in energy poverty, relying on cooking polluting fuels (e.g. wood, charcoal). The association between energy poverty and mental/physical health-related quality of life (HRQoL) among women in SSA, who are primarily tasked with cooking...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | SSM - Mental Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666560322000433 |
| _version_ | 1797975805903503360 |
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| author | Matthew Shupler Miranda Baame Emily Nix Theresa Tawiah Federico Lorenzetti Jason Saah Rachel Anderson de Cuevas Edna Sang Elisa Puzzolo Judith Mangeni Emmanuel Betang Mieks Twumasi Seeba Amenga-Etego Reginald Quansah Bertrand Mbatchou Diana Menya Kwaku Poku Asante Daniel Pope |
| author_facet | Matthew Shupler Miranda Baame Emily Nix Theresa Tawiah Federico Lorenzetti Jason Saah Rachel Anderson de Cuevas Edna Sang Elisa Puzzolo Judith Mangeni Emmanuel Betang Mieks Twumasi Seeba Amenga-Etego Reginald Quansah Bertrand Mbatchou Diana Menya Kwaku Poku Asante Daniel Pope |
| author_sort | Matthew Shupler |
| collection | DOAJ |
| description | Objective: Over 900 million people in sub-Saharan Africa (SSA) live in energy poverty, relying on cooking polluting fuels (e.g. wood, charcoal). The association between energy poverty and mental/physical health-related quality of life (HRQoL) among women in SSA, who are primarily tasked with cooking, is unknown. Methods: Females (n = 1,150) from peri-urban Cameroon, Kenya and Ghana were surveyed on their household energy use and mental/physical health status using the standardized Short-Form 36 (SF-36) questionnaire. Random effects linear regression linked household energy factors to SF-36 mental (MCS) and physical component summary (PCS) scores. A binary outcome of ‘likely depression’ was derived based on participants' MCS score. Random effects Poisson regression with robust error variance assessed the relationship between household energy factors and odds of likely depression. Results: The prevalence of likely depression varied by a factor of four among communities (36%-Mbalmayo, Cameroon; 20%-Eldoret, Kenya; 9%-Obuasi, Ghana). In the Poisson model (coefficient of determination (R2) = 0.28), females sustaining 2 or more cooking-related burns during the previous year had 2.7 (95%CI:[1.8,4.1]) times the odds of likely depression as those not burned. Females cooking primarily with charcoal and wood had 1.6 times (95%CI:[0.9,2.7]) and 1.5 times (95%CI:[0.8,3.0]) the odds of likely depression, respectively, as those primarily using liquefied petroleum gas. Women without electricity access had 1.4 (95%CI:[1.1,1.9]) times the odds of likely depression as those with access. In the MCS model (R2 = 0.23), longer time spent cooking was associated with a lower average MCS score in a monotonically increasing manner. In the PCS model (R2 = 0.32), women injured during cooking fuel collection had significantly lower (−4.8 95%CI:[-8.1,-1.4]) PCS scores. Conclusion: The burden of energy poverty in peri-urban communities in SSA extends beyond physical conditions. Experiencing cooking-related burns, using polluting fuels for cooking or lighting and spending more time cooking are potential risk factors for lower mental HRQoL among women. |
| first_indexed | 2024-04-11T04:41:17Z |
| format | Article |
| id | doaj.art-6667018bb5ee40b59be88102b001237a |
| institution | Directory Open Access Journal |
| issn | 2666-5603 |
| language | English |
| last_indexed | 2024-04-11T04:41:17Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SSM - Mental Health |
| spelling | doaj.art-6667018bb5ee40b59be88102b001237a2022-12-28T04:19:51ZengElsevierSSM - Mental Health2666-56032022-12-012100103Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communitiesMatthew Shupler0Miranda Baame1Emily Nix2Theresa Tawiah3Federico Lorenzetti4Jason Saah5Rachel Anderson de Cuevas6Edna Sang7Elisa Puzzolo8Judith Mangeni9Emmanuel Betang10Mieks Twumasi11Seeba Amenga-Etego12Reginald Quansah13Bertrand Mbatchou14Diana Menya15Kwaku Poku Asante16Daniel Pope17Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom; Corresponding author.Douala General Hospital, Douala, CameroonDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, United KingdomKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, GhanaDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, United KingdomKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, GhanaDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, United KingdomSchool of Public Health, Moi University, Eldoret, KenyaDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom; Global LPG Partnership (GLPGP), 654 Madison Avenue, New York, United StatesSchool of Public Health, Moi University, Eldoret, KenyaDouala General Hospital, Douala, CameroonKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, GhanaKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, GhanaSchool of Public Health, University of Ghana, GhanaDouala General Hospital, Douala, CameroonSchool of Public Health, Moi University, Eldoret, KenyaKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, GhanaDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, United KingdomObjective: Over 900 million people in sub-Saharan Africa (SSA) live in energy poverty, relying on cooking polluting fuels (e.g. wood, charcoal). The association between energy poverty and mental/physical health-related quality of life (HRQoL) among women in SSA, who are primarily tasked with cooking, is unknown. Methods: Females (n = 1,150) from peri-urban Cameroon, Kenya and Ghana were surveyed on their household energy use and mental/physical health status using the standardized Short-Form 36 (SF-36) questionnaire. Random effects linear regression linked household energy factors to SF-36 mental (MCS) and physical component summary (PCS) scores. A binary outcome of ‘likely depression’ was derived based on participants' MCS score. Random effects Poisson regression with robust error variance assessed the relationship between household energy factors and odds of likely depression. Results: The prevalence of likely depression varied by a factor of four among communities (36%-Mbalmayo, Cameroon; 20%-Eldoret, Kenya; 9%-Obuasi, Ghana). In the Poisson model (coefficient of determination (R2) = 0.28), females sustaining 2 or more cooking-related burns during the previous year had 2.7 (95%CI:[1.8,4.1]) times the odds of likely depression as those not burned. Females cooking primarily with charcoal and wood had 1.6 times (95%CI:[0.9,2.7]) and 1.5 times (95%CI:[0.8,3.0]) the odds of likely depression, respectively, as those primarily using liquefied petroleum gas. Women without electricity access had 1.4 (95%CI:[1.1,1.9]) times the odds of likely depression as those with access. In the MCS model (R2 = 0.23), longer time spent cooking was associated with a lower average MCS score in a monotonically increasing manner. In the PCS model (R2 = 0.32), women injured during cooking fuel collection had significantly lower (−4.8 95%CI:[-8.1,-1.4]) PCS scores. Conclusion: The burden of energy poverty in peri-urban communities in SSA extends beyond physical conditions. Experiencing cooking-related burns, using polluting fuels for cooking or lighting and spending more time cooking are potential risk factors for lower mental HRQoL among women.http://www.sciencedirect.com/science/article/pii/S2666560322000433SF-36Health-related quality of lifeEnergy povertyElectricityClean cookingLPG |
| spellingShingle | Matthew Shupler Miranda Baame Emily Nix Theresa Tawiah Federico Lorenzetti Jason Saah Rachel Anderson de Cuevas Edna Sang Elisa Puzzolo Judith Mangeni Emmanuel Betang Mieks Twumasi Seeba Amenga-Etego Reginald Quansah Bertrand Mbatchou Diana Menya Kwaku Poku Asante Daniel Pope Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities SSM - Mental Health SF-36 Health-related quality of life Energy poverty Electricity Clean cooking LPG |
| title | Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities |
| title_full | Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities |
| title_fullStr | Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities |
| title_full_unstemmed | Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities |
| title_short | Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities |
| title_sort | multiple aspects of energy poverty are associated with lower mental health related quality of life a modelling study in three peri urban african communities |
| topic | SF-36 Health-related quality of life Energy poverty Electricity Clean cooking LPG |
| url | http://www.sciencedirect.com/science/article/pii/S2666560322000433 |
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