Household Solid Fuel Use and Associated Factors in Ethiopia: A Multilevel Analysis of Data From 2016 Ethiopian Demographic and Health Survey

被引:5
|
作者
Endalew, Mastewal [1 ]
Belay, Daniel Gashayeneh [2 ,3 ]
Tsega, Nuhamin Tesfa [4 ]
Aragaw, Fantu Mamo [3 ]
Gashaw, Moges [5 ]
Asratie, Melaku Hunie [4 ]
机构
[1] Univ Gondar, Coll Med & Hlth Sci, Inst Publ Hlth, Dept Environm & Occupat Hlth Safety, Gondar 196, Ethiopia
[2] Univ Gondar, Coll Med & Hlth Sci, Dept Human Anat, Gondar, Ethiopia
[3] Univ Gondar, Coll Med & Hlth Sci, Inst Publ Hlth, Dept Epidemiol & Biostat, Gondar, Ethiopia
[4] Univ Gondar, Coll Med & Hlth Sci, Sch Midwifery, Dept Womens & Family Hlth, Gondar, Ethiopia
[5] Univ Gondar, Coll Med & Hlth Sci, Sch Med, Dept Physiotherapy, Gondar, Ethiopia
来源
ENVIRONMENTAL HEALTH INSIGHTS | 2022年 / 16卷
关键词
Solid fuel; household; factors; EDHS; Ethiopia; BRIEF CONCEPTUAL TUTORIAL; SOCIAL EPIDEMIOLOGY; BIRTH-WEIGHT; DETERMINANTS; CHOICE; ENERGY; COUNTRY; WOMEN;
D O I
10.1177/11786302221095033
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Solid fuels are types of fuel that comprise coal, biomass, charcoal, wood, or straw and are used for cooking, heating, lighting, boiling water, and generating revenue at home. Globally, 3 billion of the world's poorest people continue to rely on inefficient solid fuels. which produce health-damaging contaminants. In Ethiopia. more than 90% of households rely on wood as their primary source of energy. The actual and potential determinants of solid fuel use have not been fully identified, particularly at the national level in Ethiopia. Therefore, this study aimed to determine the magnitude of solid fuel use and its associated factors in Ethiopia. We used the Ethiopian Demographic and Health Survey (EDHS), which was conducted in 2016. The data was conducted using a 2-stage stratified cluster sampling approach. A total of 16650 weighted samples were taken. Multilevel logistic regression models were fitted to identify factors associated with solid fuel use, and a cluster-level random intercept was introduced in the mixed model. An adjusted odds ratio with a 95% confidence level was reported to show the strength of the association and its significance. The goodness of fit of the model was checked using proportional change deviance (PCV). The magnitude of solid fuel use among households in Ethiopia was 94.03% (95% CI= 93.66, 94.37). Household heads completed in primary school (AOR, 3.09. 95% CI =2.44, 3.91). outdoor cooking places (AOR, 4.13, 95% CI =2.96, 5.76), and small peripheral regions (AOR, 14.44, 95% CI =6.12, 34.04) were all significantly associated with solid fuel use. The intra-cluster correlation coefficient (ICC) showed that about 81% of the variations in the use of solid fuel were attributed to the difference at the 643 cluster level, but the remaining 19% were attributed to individual household factors. The PCV was 90%. which showed that the variation in solid fuel use among study households was explained by factors at both the individual and community levels. The deviation test of the fourth model had the lowest value (3528) and was chosen as the best-fitted model. Due to different influencing factors, the use of solid fuel is still high in Ethiopia. Promoting access to education and raising awareness toward solid fuel impact is very important.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Factors associated with divorce from first union among women in Ethiopia: Further analysis of the 2016 Ethiopia demographic and health survey data
    Dagnew, Gizachew Worku
    Asresie, Melash Belachew
    Fekadu, Gedefaw Abeje
    Gelaw, Yared Mulu
    PLOS ONE, 2020, 15 (12):
  • [42] Vaccination card loss and associated factors in Ethiopia: A multilevel analysis using Ethiopia Mini Demographic and Health Survey 2019 data
    Edossa, Zerihun Kura
    Lubago, Belay Erchafo
    Baye, Minale Fekadie
    Alemu, Rediet Kidane
    Tesema, Abebe Abera
    Abamecha, Fira
    Siraneh, Yibeltal
    Tamiru, Dessalegn
    Bayou, Negalign Berhanu
    Debelew, Gurmesa Tura
    PLOS ONE, 2024, 19 (12):
  • [43] Spatial variation and determinant factors of alcohol consumption in Ethiopia: Spatial and multilevel analysis of Ethiopian demographic and health survey
    Daba, Chala
    Debela, Sisay Abebe
    Gasheya, Kassahun Ayele
    Endawkie, Abel
    Gebrehiwot, Mesfin
    PLOS ONE, 2025, 20 (01):
  • [44] Determinants of early sexual initiation among female youth in Ethiopia: a multilevel analysis of 2016 Ethiopian Demographic and Health Survey
    Arefaynie, Mastewal
    Yalew, Melaku
    Damtie, Yitayish
    Kefale, Bereket
    BMC WOMENS HEALTH, 2020, 20 (01)
  • [45] Determinants of early sexual initiation among female youth in Ethiopia: a multilevel analysis of 2016 Ethiopian Demographic and Health Survey
    Mastewal Arefaynie
    Melaku Yalew
    Yitayish Damtie
    Bereket Kefale
    BMC Women's Health, 20
  • [46] Household environment associated with anaemia among children aged 6–59 months in Ethiopia: a multilevel analysis of Ethiopia demographic and health survey (2005–2016)
    Biniyam Sahiledengle
    Lillian Mwanri
    Kingsley Emwinyore Agho
    BMC Public Health, 24
  • [47] HIV Voluntary Counseling and Testing Uptake and Associated Factors Among Sexually Active Men in Ethiopia: Analysis of the 2016 Ethiopian Demographic and Health Survey Data
    Kabeta, Teshome
    Belina, Merga
    Nigatu, Mauro
    HIV AIDS-RESEARCH AND PALLIATIVE CARE, 2020, 12 : 351 - 362
  • [48] Factors associated with sexually transmitted infections among sexually active men in Ethiopia. Further analysis of 2016 Ethiopian demographic and health survey data
    Dagnew, Gizachew Worku
    Asresie, Melash Belachew
    Fekadu, Gedefaw Abeje
    PLOS ONE, 2020, 15 (05):
  • [49] Spatial distribution and associated factors' of early marriage among reproductive age women in Ethiopia: a secondary data analysis of Ethiopian Demographic and Health Survey 2016
    Tessema, Zemenu Tadesse
    BMC WOMENS HEALTH, 2020, 20 (01)
  • [50] Spatial distribution and associated factors’ of early marriage among reproductive age women in Ethiopia: a secondary data analysis of Ethiopian Demographic and Health Survey 2016
    Zemenu Tadesse Tessema
    BMC Women's Health, 20