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Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals.

ABSTRACT: Development and implementation of clean cooking technology for households in low and middle income countries (LMICs) offer enormous promise to advance at least five Sustainable Development Goals (SDGs): 3. Good health and well-being; 5. Gender equality; 7. Affordable and clean energy; 13. Climate action; 15. Life on land. Programs are being implemented around the world to introduce alternative cooking technologies, and we are well on the way to achieving the goal set by the Global Alliance for Clean Cookstoves to reach 100 million homes with cleaner and more efficient cooking methods by 2020. Despite evidence that household air pollution (HAP) from solid fuel combustion is responsible for 3-4 million early deaths per year, many cookstove programs are motivated and/or financed by climate change mitigation schemes and deploy alternative stoves that use solid fuels such as wood and charcoal. However, recent studies have demonstrated that improved biomass-burning stoves typically only incrementally improve air quality and yield modest or minimal health benefits. Likewise, their contributions to climate change mitigation and other SDGs may be limited. Evidence indicates that cleaner fuels, such as liquefied petroleum gas (LPG), ethanol and biogas, offer greater potential benefits not only to health, but also greater progress towards climate goals and other relevant SDGs. We present a modeled estimate of these potential gains for a diverse group of 40 LMICs. Our model suggests that cookstove programs using LPG stoves and fuel will yield greater reductions in both Disability Adjusted Life Years and Global Warming Commitment in these countries than those using improved biomass stoves. Cost and infrastructure requirements for clean fuels such as LPG are widely recognized constraints. In view of these constraints we present an analytical method to simultaneously consider health and climate needs at the national level for the same 40 countries in the context of estimated LPG expansion potentials. Comparative analyses integrating priorities across SDGs at the national and regional levels may guide more practical and effective household energy development choices going forward.

SUBMITTER: Rosenthal J

PROVIDER: S-EPMC5975963 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals.

Rosenthal Joshua J Quinn Ashlinn A Grieshop Andrew P AP Pillarisetti Ajay A Glass Roger I RI

Energy for sustainable development : the journal of the International Energy Initiative 20171208

Development and implementation of clean cooking technology for households in low and middle income countries (LMICs) offer enormous promise to advance at least five Sustainable Development Goals (SDGs): 3. Good health and well-being; 5. Gender equality; 7. Affordable and clean energy; 13. Climate action; 15. Life on land. Programs are being implemented around the world to introduce alternative cooking technologies, and we are well on the way to achieving the goal set by the Global Alliance for C ...[more]

PMID: 29861575

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Project description:This themed issue on global health research has come at an opportune time in the middle of the ongoing global public health crisis arising from the coronavirus disease (COVID-19) pandemic which has claimed nearly 756,000 lives in 210 countries and territories around the world as of August 15, 2020. The public health crisis underscores the importance of global health research partnerships and collaborations to develop and evaluate the requisite health technologies to assist in containing COVID-19, other diseases, and health-related concerns that defy national borders. The 17 Sustainable Development Goals (SDGs), adopted by the member countries of the United Nations in September 2015, provide a framework for global development efforts including global health research. SDG3, which promotes health and well-being for the world populations across the age spectrum, highlights disease areas for special focus which can be adapted in specific global health research programs to serve local health needs. SDG17 promotes partnerships between high income (HIC) and low and middle-income countries (LMIC) for sustainable and equitable global development. However, given the wide disparities in fiscal and overall capacity for research between researchers in HIC and their counterparts in LMIC as well as the greater vulnerabilities of the LMIC communities when serving as research locations, a spotlight on the nature of such global health research partnerships in the context of the SDGs is desirable. This is to ensure that they are meaningful and mutually-beneficial partnerships which address local health concerns and promote long-term value for the communities involved. The objective of this commentary is, therefore, to provide a brief overview of the SDGs by way of context; explore the power differences at play when researchers from HIC are seeking research opportunities in LMIC; examine the social determinants of health and the disproportionate burden of global diseases carried by populations in LMIC to establish their vulnerability; discuss global research partnerships; and attempt to make a case for why community-based participatory research may be the preferred type of global health research partnership in the context of the SDGs.

Project description:Complex disease such as cancer results from interactions of multiple genetic and environmental factors. Studying these factors singularly cannot explain the underlying pathogenetic mechanism of the disease. Multi-analytical approach, including logistic regression (LR), classification and regression tree (CART) and multifactor dimensionality reduction (MDR), was applied in 188 lung cancer cases and 290 controls to explore high order interactions among xenobiotic metabolizing genes and environmental risk factors. Smoking was identified as the predominant risk factor by all three analytical approaches. Individually, CYP1A1*2A polymorphism was significantly associated with increased lung cancer risk (OR?=?1.69;95%CI?=?1.11-2.59,p?=?0.01), whereas EPHX1 Tyr113His and SULT1A1 Arg213His conferred reduced risk (OR?=?0.40;95%CI?=?0.25-0.65,p<0.001 and OR?=?0.51;95%CI?=?0.33-0.78,p?=?0.002 respectively). In smokers, EPHX1 Tyr113His and SULT1A1 Arg213His polymorphisms reduced the risk of lung cancer, whereas CYP1A1*2A, CYP1A1*2C and GSTP1 Ile105Val imparted increased risk in non-smokers only. While exploring non-linear interactions through CART analysis, smokers carrying the combination of EPHX1 113TC (Tyr/His), SULT1A1 213GG (Arg/Arg) or AA (His/His) and GSTM1 null genotypes showed the highest risk for lung cancer (OR?=?3.73;95%CI?=?1.33-10.55,p?=?0.006), whereas combined effect of CYP1A1*2A 6235CC or TC, SULT1A1 213GG (Arg/Arg) and betel quid chewing showed maximum risk in non-smokers (OR?=?2.93;95%CI?=?1.15-7.51,p?=?0.01). MDR analysis identified two distinct predictor models for the risk of lung cancer in smokers (tobacco chewing, EPHX1 Tyr113His, and SULT1A1 Arg213His) and non-smokers (CYP1A1*2A, GSTP1 Ile105Val and SULT1A1 Arg213His) with testing balance accuracy (TBA) of 0.6436 and 0.6677 respectively. Interaction entropy interpretations of MDR results showed non-additive interactions of tobacco chewing with SULT1A1 Arg213His and EPHX1 Tyr113His in smokers and SULT1A1 Arg213His with GSTP1 Ile105Val and CYP1A1*2C in nonsmokers. These results identified distinct gene-gene and gene environment interactions in smokers and non-smokers, which confirms the importance of multifactorial interaction in risk assessment of lung cancer.

Dataset Information

Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals.

Publications

Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals.

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