Spatial variation and factors associated of solid fuel use in Ethiopia a multilevel and spatial analysis based on EDHS 2016.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
20 Nov 2023
20 Nov 2023
Historique:
received:
31
05
2023
accepted:
07
11
2023
medline:
27
11
2023
pubmed:
21
11
2023
entrez:
21
11
2023
Statut:
epublish
Résumé
Cooking and heating using solid fuels, such as dung, wood, agricultural residues, grass, straw, charcoal, and coal, is a main source of household air pollution. This indoor combustion encompasses a diversity of health detrimental pollutants, especially for people from low-income countries like Ethiopia since solid fuels are accessible easily at a lesser cost. Limited studies done showing factors affecting in choosing fuel type and no study, which revealed spatial heterogeneity of solid fuel used based on such nationally representative data. Therefore, this study, aimed at investigating spatial variation and determinants of solid fuel use in Ethiopia. This study was done using the data from the Ethiopian Demographic and Health Survey 2016, a national representative sample (16,650) households were included. Spatial and Multi-level logistic regression analysis was done by considering the DHS data hierarchal nature. Variables in the final model with a p-value < 0.05 were reported as significant predictors of using solid fuel. All analyses were done using ArcGIS V.10.7.1 and STATA V.14 software. The finding of this study revealed that 90.8% (95% CI (87.9%, 91.2%)) of households depend on solid fuel for cooking. Based on the final model ;Male household head (AOR 1.38, 95% CI (1.12-1.71)), age of household head (AOR 1.61, 95% CI (1.20, 2.17)), and 1.49 (OR 1.49, 95% CI (1.12, 1.99)) respectively for the age classes of < 30, and 30-40, education attainment no education (OR 3.14, 95% CI (1.13, 8.71)) and primary education (AOR 2.16, 95% CI (2.78, 5.96), wealth index Poorest (AOR 11.05, 95% CI (5.68, 15.78)), Poorer (OR 5.19, 95% CI (5.43, 13.19)), Middle (OR 3.08, 95% CI (2.44, 8.73)), and Richer (OR 1.30, 95IC (1.07, 13.49)) compared to richest, and not accessibility of electricity (AOR 31.21, 95% CI (35.41, 42.67)), were individual-level factors significantly associated with using solid fuel. Community-level factors like households found at large city (AOR 2.80, 95CI (1.65, 4.77)), small city (AOR 2.58, 95% CI (1.55, 4.32)) town (AOR 4.02, 95% CI (2.46, 6.55)), and countryside (AOR 14.40, 95% CI (6.23, 21.15)) compared households found in capital city, community level media exposure (AOR 6.00, 95% CI (4.61, 7.82)) were statistically predictors in using solid fuel for cooking. This finding revealed that a large proportion of households in Ethiopia heavily depend on biomass, especially wood, for cooking. There was a greater disparity on solid fuel use for cooking in Ethiopia. Implementing major policy interventions should be introduced to reduce solid fuel use for cooking and inequalities in accessing clean fuel in Ethiopia.
Identifiants
pubmed: 37985673
doi: 10.1038/s41598-023-46897-0
pii: 10.1038/s41598-023-46897-0
pmc: PMC10662317
doi:
Substances chimiques
Environmental Pollutants
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
20279Informations de copyright
© 2023. The Author(s).
Références
PLoS One. 2014 Oct 24;9(10):e110257
pubmed: 25343620
PLoS One. 2020 Apr 27;15(4):e0231757
pubmed: 32339177
Educ Psychol Meas. 2015 Dec;75(6):1063-1070
pubmed: 29795853
Environ Health Perspect. 2012 May;120(5):637-45
pubmed: 22296719
Int J Hyg Environ Health. 2013 Aug;216(5):523-32
pubmed: 23347967
Environ Health Perspect. 2013 Jul;121(7):784-90
pubmed: 23674502
Environ Res Lett. 2019 Aug;14(8):
pubmed: 33777170
J Expo Sci Environ Epidemiol. 2008 Jan;18(1):109-15
pubmed: 17410116
Indoor Air. 2002 Sep;12(3):198-207
pubmed: 12244750
J Allergy Clin Immunol. 2019 Jun;143(6):1979-1987
pubmed: 31176380
Environ Health Perspect. 2014 Feb;122(2):120-30
pubmed: 24300100
Ann Am Thorac Soc. 2014 Jul;11(6):915-24
pubmed: 24960156
Am J Respir Crit Care Med. 2017 Sep 12;197(5):595-610
pubmed: 28895752
Lancet. 2017 Sep 16;390(10100):1345-1422
pubmed: 28919119
PLoS One. 2018 May 31;13(5):e0198028
pubmed: 29852006
Psychol Methods. 2012 Jun;17(2):228-43
pubmed: 22309957
Environ Health Perspect. 2006 Mar;114(3):373-8
pubmed: 16507460
Proc Am Thorac Soc. 2008 Jul 15;5(5):577-90
pubmed: 18625750
Environ Health Insights. 2022 Apr 30;16:11786302221095033
pubmed: 35521361
JAMA. 2002 Mar 6;287(9):1132-41
pubmed: 11879110
Occup Environ Med. 2015 Feb;72(2):114-22
pubmed: 25341423
Matern Child Health J. 2006 Nov;10(6):553-61
pubmed: 16758332
Environ Res. 2017 Jul;156:47-56
pubmed: 28319817
Prev Med. 2021 Sep;150:106694
pubmed: 34171345
AIMS Public Health. 2015 Sep 22;2(4):638-654
pubmed: 29546128
Environ Sci Pollut Res Int. 2020 May;27(15):18902-18910
pubmed: 32207010
Environ Health Perspect. 2013 May;121(5):637-42
pubmed: 23512278
J Health Pollut. 2018 Aug 21;8(19):180903
pubmed: 30524862
J Epidemiol Community Health. 2005 Jun;59(6):443-9
pubmed: 15911637
Front Public Health. 2021 Aug 04;9:677851
pubmed: 34422742
Int J Hyg Environ Health. 2017 Nov;220(8):1370-1381
pubmed: 28986011
J Environ Manage. 2007 Jun;83(4):416-26
pubmed: 16930808
Lancet Glob Health. 2020 Nov;8(11):e1427-e1434
pubmed: 33069303