ArticleSSM. Mental health2022
Multiple aspects of energy poverty are associated with lower mental health-related quality of life: A modelling study in three peri-urban African communities.
Article in SSM. Mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Housing conditions, satisfaction with housing conditions and life satisfaction of older adults in Tanzania: a cross-sectional study.BMC geriatrics · 2026Article
- Toward sustainable healthy living in South Africa: the asymmetric effects of clean energy, natural resources and institutional quality.Frontiers in public health · 2026Article
- Prevalence of Cooking-Related Burns in Peri-Urban Cameroon, Ghana, and Kenya by Fuel Type.Journal of health & pollution · 2025Article
- Socioeconomic status and partaking in air pollution monitoring are associated with cookstove usage across three peri-urban communities in sub-Saharan Africa.Scientific reports · 2025Article
- Assessing the effect of energy poverty on health outcomes: insights from Ghana.BMC public health · 2025Article
- Multinational modelling of PMScientific reports · 2025Article
- Household concentrations and female and child exposures to air pollution in peri-urban sub-Saharan Africa: measurements from the CLEAN-Air(Africa) study.The Lancet. Planetary health · 2024Article
- The Health Impacts of Air Pollution in the Context of Changing Climate in Africa: A Narrative Review with Recommendations for Action.Annals of global health · 2024Review
- Article
- Effects of pain and depression on the relationship between household solid fuel use and disability among middle-aged and older adults.Scientific reports · 2022Article
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Authors and funding
18 authors.
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Abstract
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 (R 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.
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