Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019 : an analysis of data from the Global Burden of Disease Study 2019
- Burkart, Katrin, Causey, Kate, Cohen, Aaron, Wozniak, Sarah, Salvi, Devashri, Abbafati, Cristiana, Adekanmbi, Victor, Adsuar, Jose, Ahmadi, Keivan, Alahdab, Fares, Al-Aly, Ziyad, Alipour, Vahid, Alvis-Guzman, Nelson, Amegah, Adeladza, Andrei, Catalina, Andrei, Tudorel, Ansari, Fereshteh, Arabloo, Jalal, Aremu, Olatunde, Aripov, Timur, Babaee, Ebrahim, Banach, Maclej, Barnett, Anthony, Bärnighausen, Till, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick, Rahman, Muhammad Aziz
- Authors: Burkart, Katrin , Causey, Kate , Cohen, Aaron , Wozniak, Sarah , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Al-Aly, Ziyad , Alipour, Vahid , Alvis-Guzman, Nelson , Amegah, Adeladza , Andrei, Catalina , Andrei, Tudorel , Ansari, Fereshteh , Arabloo, Jalal , Aremu, Olatunde , Aripov, Timur , Babaee, Ebrahim , Banach, Maclej , Barnett, Anthony , Bärnighausen, Till , Bedi, Neeraj , Behzadifar, Masoud , Béjot, Yannick , Bennett, Derrick , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Planetary Health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text:
- Reviewed:
- Description: Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Burkart, Katrin , Causey, Kate , Cohen, Aaron , Wozniak, Sarah , Salvi, Devashri , Abbafati, Cristiana , Adekanmbi, Victor , Adsuar, Jose , Ahmadi, Keivan , Alahdab, Fares , Al-Aly, Ziyad , Alipour, Vahid , Alvis-Guzman, Nelson , Amegah, Adeladza , Andrei, Catalina , Andrei, Tudorel , Ansari, Fereshteh , Arabloo, Jalal , Aremu, Olatunde , Aripov, Timur , Babaee, Ebrahim , Banach, Maclej , Barnett, Anthony , Bärnighausen, Till , Bedi, Neeraj , Behzadifar, Masoud , Béjot, Yannick , Bennett, Derrick , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Planetary Health Vol. 6, no. 7 (2022), p. e586-e600
- Full Text:
- Reviewed:
- Description: Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18 : a geospatial modelling study
- Frostad, Joseph, Nguyen, QuynhAnh, Baumann, Mathew, Blacker, Brigette, Marczak, Laurie, Deshpande, Aniruddha, Wiens, Kirsten, LeGrand, Kate, Johnson, Kimberly, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abolhassani, Hassan, Abreu, Lucas, Abrigo, Michael, Abu-Rmeileh, Niveen, Adekanmbi, Victor, Agrawal, Anurag, Ahmed, Muktar, Al-Aly, Ziyad, Alanezi, Fahad, Alcalde-Rabanal, Jacqueline, Alipour, Vahid, Altirkawi, Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson, Amegah, Adeladza, Amini, Saeed, Amiri, Fatemeh, Amugsi, Dickson, Rahman, Muhammad Aziz
- Authors: Frostad, Joseph , Nguyen, QuynhAnh , Baumann, Mathew , Blacker, Brigette , Marczak, Laurie , Deshpande, Aniruddha , Wiens, Kirsten , LeGrand, Kate , Johnson, Kimberly , Abbasi-Kangevari, Mohsen , Abdoli, Amir , Abolhassani, Hassan , Abreu, Lucas , Abrigo, Michael , Abu-Rmeileh, Niveen , Adekanmbi, Victor , Agrawal, Anurag , Ahmed, Muktar , Al-Aly, Ziyad , Alanezi, Fahad , Alcalde-Rabanal, Jacqueline , Alipour, Vahid , Altirkawi, Khalid , Alvis-Guzman, Nelson , Alvis-Zakzuk, Nelson , Amegah, Adeladza , Amini, Saeed , Amiri, Fatemeh , Amugsi, Dickson , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Global Health Vol. 10, no. 10 (2022), p. e1395-e1411
- Full Text:
- Reviewed:
- Description: Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Frostad, Joseph , Nguyen, QuynhAnh , Baumann, Mathew , Blacker, Brigette , Marczak, Laurie , Deshpande, Aniruddha , Wiens, Kirsten , LeGrand, Kate , Johnson, Kimberly , Abbasi-Kangevari, Mohsen , Abdoli, Amir , Abolhassani, Hassan , Abreu, Lucas , Abrigo, Michael , Abu-Rmeileh, Niveen , Adekanmbi, Victor , Agrawal, Anurag , Ahmed, Muktar , Al-Aly, Ziyad , Alanezi, Fahad , Alcalde-Rabanal, Jacqueline , Alipour, Vahid , Altirkawi, Khalid , Alvis-Guzman, Nelson , Alvis-Zakzuk, Nelson , Amegah, Adeladza , Amini, Saeed , Amiri, Fatemeh , Amugsi, Dickson , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: The Lancet Global Health Vol. 10, no. 10 (2022), p. e1395-e1411
- Full Text:
- Reviewed:
- Description: Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- «
- ‹
- 1
- ›
- »