Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance...
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| Vydané v: | The Lancet (British edition) Ročník 390; číslo 10100; s. 1345 - 1422 |
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| Médium: | Journal Article |
| Jazyk: | English |
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England
Elsevier Ltd
16.09.2017
Elsevier Limited Elsevier |
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| ISSN: | 0140-6736, 1474-547X, 1474-547X |
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| Abstract | The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.
We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.
Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9–11·6) decline in deaths and a 10·8% (8·3–13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7–17·5) of deaths and 6·2% (3·9–8·7) of DALYs, and population growth for 12·4% (10·1–14·9) of deaths and 12·4% (10·1–14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9–29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.
Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.
The Bill & Melinda Gates Foundation, Bloomberg Philanthropies. |
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| AbstractList | BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.FindingsSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9–11·6) decline in deaths and a 10·8% (8·3–13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7–17·5) of deaths and 6·2% (3·9–8·7) of DALYs, and population growth for 12·4% (10·1–14·9) of deaths and 12·4% (10·1–14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9–29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.InterpretationIncreasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Findings Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124.1 million DALYs [95% UI 111.2 million to 137.0 million]), high systolic blood pressure (122.2 million DALYs [110.3 million to 133.3 million], and low birthweight and short gestation (83.0 million DALYs [78.3 million to 87.7 million]), and for women, were high systolic blood pressure (89.9 million DALYs [80.9 million to 98.2 million]), high body-mass index (64.8 million DALYs [44.4 million to 87.6 million]), and high fasting plasma glucose (63.8 million DALYs [53.2 million to 76.3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9.3% (6.9-11.6) decline in deaths and a 10.8% (8.3-13.1) decrease in DALYs at the global level, while population ageing accounts for 14.9% (12.7-17.5) of deaths and 6.2% (3.9-8.7) of DALYs, and population growth for 12.4% (10.1-14.9) of deaths and 12.4% (10.1-14.9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27.3% (24.9-29.7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. Interpretation Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Findings Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9–11·6) decline in deaths and a 10·8% (8·3–13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7–17·5) of deaths and 6·2% (3·9–8·7) of DALYs, and population growth for 12·4% (10·1–14·9) of deaths and 12·4% (10·1–14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9–29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. Interpretation Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. Funding The Bill & Melinda Gates Foundation, Bloomberg Philanthropies. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9–11·6) decline in deaths and a 10·8% (8·3–13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7–17·5) of deaths and 6·2% (3·9–8·7) of DALYs, and population growth for 12·4% (10·1–14·9) of deaths and 12·4% (10·1–14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9–29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. The Bill & Melinda Gates Foundation, Bloomberg Philanthropies. BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. METHODS: We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. FINDINGS: Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. INTERPRETATION: Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. METHODS: We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. FINDINGS: Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124.1 million DALYs [95% UI 111.2 million to 137.0 million]), high systolic blood pressure (122.2 million DALYs [110.3 million to 133.3 million], and low birthweight and short gestation (83.0 million DALYs [78.3 million to 87.7 million]), and for women, were high systolic blood pressure (89.9 million DALYs [80.9 million to 98.2 million]), high body-mass index (64.8 million DALYs [44.4 million to 87.6 million]), and high fasting plasma glucose (63.8 million DALYs [53.2 million to 76.3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9.3% (6.9-11.6) decline in deaths and a 10.8% (8.3-13.1) decrease in DALYs at the global level, while population ageing accounts for 14.9% (12.7-17.5) of deaths and 6.2% (3.9-8.7) of DALYs, and population growth for 12.4% (10.1-14.9) of deaths and 12.4% (10.1-14.9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27.3% (24.9-29.7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. INTERPRETATION: Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. FUNDING: The Bill & Melinda Gates Foundation, Bloomberg Philanthropies. The GBD study remains the only peer-reviewed, comprehensive, and annual assessment of risk factor burden by age, sex, cause, and location for a long time series that complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. METHODS: We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. FINDINGS: Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. INTERPRETATION: Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. FUNDING: The Bill & Melinda Gates Foundation, Bloomberg Philanthropies. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.BACKGROUNDThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.METHODSWe used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.FINDINGSSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.INTERPRETATIONIncreasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.The Bill & Melinda Gates Foundation, Bloomberg Philanthropies.FUNDINGThe Bill & Melinda Gates Foundation, Bloomberg Philanthropies. |
| Author | Roth, Gregory A Stein, Dan J Foigt, Nataliya Rai, Rajesh Kumar Wiysonge, Charles Shey Mezgebe, Haftay Berhane Yan, Lijing L Ningrum, Dina Nur Anggraini Sykes, Bryan L Mohammed, Shafiu Cohen, Aaron J Ebrahimi, Hedyeh Larsson, Anders Naghavi, Mohsen Tollanes, Mette C Hernandez, Julio Cesar Montañez Ota, Erika Woodbrook, Rachel Lozano, Rafael Mazidi, Mohsen Thankappan, Kavumpurathu Raman Mantovani, Lorenzo G Lal, Dharmesh Kumar Abdulle, Abdishakur M Majdan, Marek Ogbo, Felix Akpojene Butt, Zahid A Fay, Kairsten Santos, Itamar S Hanson, Sarah Wulf Alahdab, Fares Rawaf, Salman Shaikh, Masood Ali Serdar, Berrin Shiri, Rahman Singh, Virendra Tobollik, Myriam Nguyen, Quyen Le Ribeiro, Antonio L Veerman, Lennert J Doku, David Teye Lotufo, Paulo A Ali, Komal Hoek, Hans W Mohammad, Karzan Abdulmuhsin Balakrishnan, Kalpana de Courten, Barbora Tuem, Kald Beshir Bikbov, Boris Kesavachandran, Chandrasekharan Nair Kieling, Christian Logroscino, Giancarlo Moradi-Lakeh, Maziar Olivares, Pedro R Gutiérrez, Reyna A Opio, John Nelson Hailu, Gessessew Bugssa Maca |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28919119$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:du-32890$$DView record from Swedish Publication Index https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-332130$$DView record from Swedish Publication Index (Uppsala universitet) https://gup.ub.gu.se/publication/257842$$DView record from Swedish Publication Index (Göteborgs universitet) http://kipublications.ki.se/Default.aspx?queryparsed=id:136639154$$DView record from Swedish Publication Index (Karolinska Institutet) |
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| Cites_doi | 10.1016/S0140-6736(14)61745-1 10.1016/S0013-9351(03)00132-4 10.1136/heartjnl-2015-307516 10.1038/srep39480 10.1016/S0140-6736(11)60813-1 10.1186/1471-2393-10-S1-S1 10.1016/S0140-6736(14)61744-X 10.1136/bmj.h6704 10.1080/10807039991289185 10.1371/journal.pone.0124845 10.1056/NEJMoa0911783 10.1080/01621459.1951.10500769 10.1080/15459624.2013.863131 10.1056/NEJMsa053935 10.1371/journal.pmed.0040216 10.1097/00043764-199810000-00003 10.3945/jn.114.203448 10.1023/B:MACH.0000015881.36452.6e 10.1016/j.ypmed.2017.07.013 10.1016/S0140-6736(14)62114-0 10.1093/aje/kwn093 10.1016/S0140-6736(14)60460-8 10.1111/add.13585 10.1016/S0140-6736(16)30388-9 10.1093/ageing/afw120 10.1016/S0140-6736(16)30054-X 10.1016/S0140-6736(16)31679-8 10.1016/S1474-4422(14)70136-X 10.1161/CIRCULATIONAHA.114.010636 10.1097/HJH.0000000000000522 10.1016/S0140-6736(05)71881-X 10.1016/j.siny.2011.09.001 10.1016/S0140-6736(13)60996-4 10.1186/1471-2458-13-860 10.1056/NEJMoa1511939 10.1097/00001648-199909000-00029 10.1016/S0140-6736(15)60264-1 10.1136/oemed-2016-103743 10.3390/nu8110693 10.1377/hlthaff.23.3.112 10.1542/peds.2015-4490 10.1371/journal.pone.0158765 10.1161/01.HYP.0000116302.08484.14 10.1016/S0140-6736(10)61514-0 10.1542/peds.2016-2132 10.1126/science.288.5468.979 10.1016/S0140-6736(15)00128-2 10.1136/bmjopen-2015-008705 10.1016/S0140-6736(12)60820-4 10.1186/1742-4755-10-S1-S2 10.1056/NEJMoa1516783 10.1136/bmj.g4164 10.1016/S0140-6736(16)31212-0 10.1111/dar.12125 10.1179/1077352512Z.0000000007 10.1056/NEJMoa1600176 10.1186/1471-2458-13-1072 10.1038/nature15371 10.1016/S0140-6736(12)61766-8 10.1038/bjc.2012.112 |
| ContentType | Journal Article |
| Contributor | Aichour, Amani Nidhal Avokpaho, Euripide Frinel G Arthur Arian, Nicholas Alvis-Guzman, Nelson Antó, Josep M Artaman, Al Abdulle, Abdishakur M Abu-Raddad, Laith J Abate, Kalkidan Hassen Barber, Ryan M Barker-Collo, Suzanne L Amare, Azmeraw T Berhane, Adugnaw Abera, Semaw Ferede Adetokunboh, Olatunji Alahdab, Fares Beuran, Mircea Amoako, Yaw Ampem Akinyemi, Rufus Olusola Abyu, Gebre Yitayih Bicer, Burcu Kucuk Barquera, Simon Bensenor, Isabela M Ali, Komal Balakrishnan, Kalpana Bikbov, Boris Bou-Orm, Ibrahim R Abbafati, Cristiana Atey, Tesfay Mehari Bhansali, Anil Alam, Noore Beyene, Addisu Shunu Boneya, Dube Jara Aichour, Miloud Taki Eddine Alene, Kefyalew Addis Ärnlöv, Johan Ansari, Hossein Asgedom, Solomon Weldegebreal Bell, Michelle L Alam, Khurshid Al-Raddadi, Rajaa Alasfoor, Deena Bärnighausen, Till Aboyans, Victor Asayesh, Hamid Adedeji, Isaac Akinkunmi Agrawal, Sutapa Biryukov, Stan Al-Aly, Ziyad Bacha, Umar Blosser, Christopher D Baune, Bernhard T Barregard, Lars Beghi, Ettore Ammar, Walid Anwari, Palwasha Ahmadieh, Hamid Altirkawi, Kh |
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Bernhard T surname: Baune fullname: Baune, Bernhard T – sequence: 76 givenname: Justin surname: Beardsley fullname: Beardsley, Justin – sequence: 77 givenname: Neeraj surname: Bedi fullname: Bedi, Neeraj – sequence: 78 givenname: Ettore surname: Beghi fullname: Beghi, Ettore – sequence: 79 givenname: Michelle L surname: Bell fullname: Bell, Michelle L – sequence: 80 givenname: Derrick A surname: Bennett fullname: Bennett, Derrick A – sequence: 81 givenname: James R surname: Bennett fullname: Bennett, James R – sequence: 82 givenname: Isabela M surname: Bensenor fullname: Bensenor, Isabela M – sequence: 83 givenname: Adugnaw surname: Berhane fullname: Berhane, Adugnaw – sequence: 84 givenname: Derbew Fikadu surname: Berhe fullname: Berhe, Derbew Fikadu – sequence: 85 givenname: Eduardo surname: Bernabé fullname: Bernabé, Eduardo – sequence: 86 givenname: Balem Demtsu surname: Betsu fullname: Betsu, Balem Demtsu – sequence: 87 givenname: Mircea surname: Beuran fullname: Beuran, Mircea – sequence: 88 givenname: Addisu Shunu surname: Beyene fullname: Beyene, Addisu Shunu – sequence: 89 givenname: Anil surname: Bhansali fullname: Bhansali, Anil – sequence: 90 givenname: Zulfiqar A surname: Bhutta fullname: Bhutta, Zulfiqar A – sequence: 91 givenname: Burcu Kucuk surname: Bicer fullname: Bicer, Burcu Kucuk – sequence: 92 givenname: Boris surname: Bikbov fullname: Bikbov, Boris – sequence: 93 givenname: Charles surname: Birungi fullname: Birungi, Charles – sequence: 94 givenname: Stan surname: Biryukov fullname: Biryukov, Stan – sequence: 95 givenname: Christopher D surname: Blosser fullname: Blosser, Christopher D – sequence: 96 givenname: Dube Jara surname: Boneya fullname: Boneya, Dube Jara – sequence: 97 givenname: Ibrahim R surname: Bou-Orm fullname: Bou-Orm, Ibrahim R – sequence: 98 givenname: Michael surname: Brauer fullname: Brauer, Michael – sequence: 99 givenname: Nicholas J K surname: Breitborde fullname: Breitborde, Nicholas J K – sequence: 100 givenname: Hermann surname: Brenner fullname: Brenner, Hermann |
| Copyright | 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. Copyright Elsevier Limited Sep 16, 2017 cc by (c) Antó i Boqué et al., 2017 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/es 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 2017 Wageningen University & Research |
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| References | (bib62) 2004 Yusuf, Bosch, Dagenais (bib12) 2016; 374 Cabrera Escobar, Veerman, Tollman, Bertram, Hofman (bib43) 2013; 13 Lim, Vos, Flaxman (bib5) 2012; 380 Gyamfi-Bannerman, Thom, Blackwell (bib49) 2016; 374 Forouzanfar, Alexander, Anderson (bib6) 2015; 386 Holmes, Dale, Zuccolo (bib55) 2014; 349 Britton, Bell (bib2) 2017; 112 Singh, Micha, Khatibzadeh (bib8) 2015; 10 Cecchini, Sassi, Lauer, Lee, Guajardo-Barron, Chisholm (bib23) 2010; 376 Been, Sheikh (bib1) 2016; 388 Muntner, Gu, Wu (bib27) 2004; 43 Zaidi, Huskins, Thaver, Bhutta, Abbas, Goldmann (bib53) 2005; 365 McCambridge, Hartwell (bib56) 2015; 34 Hill, Fatoba, Oke (bib63) 2016; 11 Arlington, Kairuki, Isangula (bib51) 2017; 139 Scarborough, Wickramasinghe, Bhatnagar, Rayner (bib22) 2011 Alvarado, Kostova, Suhrcke (bib40) 2017 Reisman, Arlington, Jensen, Louis, Suarez-Rebling, Nelson (bib50) 2016; 138 Colchero, Popkin, Rivera, Ng (bib38) 2016; 352 Mazzocchi (bib41) 2016; 48 Smith, York (bib29) 2004; 23 Norton, Matthews, Barnes, Yaffe, Brayne (bib10) 2014; 13 Hawkes, Smith, Jewell (bib35) 2015; 385 Bhutta, Das, Rizvi (bib46) 2013; 382 Wright, Williamson (bib11) 2015; 373 Clark, Hawkes, Murphy, Hansen-Kuhn, Wallinga (bib39) 2012; 18 Micha, Khatibzadeh, Shi, Andrews, Engell, Mozaffarian (bib7) 2015; 5 Singh, Micha, Khatibzadeh, Lim, Ezzati, Mozaffarian (bib9) 2015; 132 Coleman, Hamblin (bib28) 2007; 4 Raffensperger, Tickner (bib70) 1999 Goetzel, Anderson, Whitmer (bib24) 1998; 40 (bib44) 2017 Blencowe, Cousens, Chou (bib47) 2013; 10 (bib59) 2013 Steenland (bib3) 2016; 73 Ford, Ajani, Croft (bib20) 2007; 356 Takala, Hämäläinen, Saarela (bib68) 2014; 11 Bilano, Gilmour, Moffiet (bib57) 2015; 385 Lawn, Gravett, Nunes, Rubens, Stanton (bib65) 2010; 10 Petry, Olofin, Hurrell (bib67) 2016; 8 Roberto, Swinburn, Hawkes (bib36) 2015; 385 Gupta (bib19) 1993 Ng, Fleming, Robinson (bib33) 2014; 384 Agrawal, Hirsch (bib48) 2012; 17 (bib61) 2017 Džeroski, Ženko (bib16) 2004; 54 Foster, Vecchia, Repacholi (bib72) 2000; 288 Song, Shen, Li (bib26) 2016; 6 Massey (bib17) 1951; 46 Murray, Lopez (bib13) 1999; 10 (bib18) 2015 (bib31) 2003 Morrissey, Bedford, Irving, Farmer (bib30) 2016; 45 Briggs, Mytton, Madden, O'Shea, Rayner, Scarborough (bib42) 2013; 13 Swinburn, Sacks, Hall (bib34) 2011; 378 (bib32) 2016; 387 (bib52) 2010; 362 Rehm, Irving, Ye, Kerr, Bond, Greenfield (bib54) 2008; 168 Fewtrell, Prüss-Ustün, Landrigan, Ayuso-Mateos (bib58) 2004; 94 Lelieveld, Evans, Fnais, Giannadaki, Pozzer (bib66) 2015; 525 Stevens, Alkema, Black (bib14) 2016; 388 bib60 (bib15) 2007 Blencowe, Cousens, Oestergaard (bib64) 2012; 379 Gasparrini, Guo, Hashizume (bib73) 2015; 386 Forouzanfar, Afshin, Alexander, Anderson, Bhutta, Murray (bib4) 2016; 388 Rushton, Hutchings, Fortunato (bib69) 2012; 107 Sandin (bib71) 1999; 5 (bib37) 2013 Bhatnagar, Wickramasinghe, Williams, Rayner, Townsend (bib21) 2015; 101 Attard, Herring, Zhang, Du, Popkin, Gordon-Larsen (bib25) 2015; 33 Toe, Bouckaert, Beuf (bib45) 2015; 145 (10.1016/S0140-6736(17)32366-8_bib37) 2013 Cabrera Escobar (10.1016/S0140-6736(17)32366-8_bib43) 2013; 13 (10.1016/S0140-6736(17)32366-8_bib32) 2016; 387 Steenland (10.1016/S0140-6736(17)32366-8_bib3) 2016; 73 Rehm (10.1016/S0140-6736(17)32366-8_bib54) 2008; 168 Singh (10.1016/S0140-6736(17)32366-8_bib8) 2015; 10 Attard (10.1016/S0140-6736(17)32366-8_bib25) 2015; 33 Mazzocchi (10.1016/S0140-6736(17)32366-8_bib41) 2016; 48 Agrawal (10.1016/S0140-6736(17)32366-8_bib48) 2012; 17 Hill (10.1016/S0140-6736(17)32366-8_bib63) 2016; 11 Rushton (10.1016/S0140-6736(17)32366-8_bib69) 2012; 107 Fewtrell (10.1016/S0140-6736(17)32366-8_bib58) 2004; 94 Toe (10.1016/S0140-6736(17)32366-8_bib45) 2015; 145 Holmes (10.1016/S0140-6736(17)32366-8_bib55) 2014; 349 Arlington (10.1016/S0140-6736(17)32366-8_bib51) 2017; 139 Forouzanfar (10.1016/S0140-6736(17)32366-8_bib6) 2015; 386 (10.1016/S0140-6736(17)32366-8_bib18) 2015 Smith (10.1016/S0140-6736(17)32366-8_bib29) 2004; 23 Bilano (10.1016/S0140-6736(17)32366-8_bib57) 2015; 385 Wright (10.1016/S0140-6736(17)32366-8_bib11) 2015; 373 Colchero (10.1016/S0140-6736(17)32366-8_bib38) 2016; 352 Norton (10.1016/S0140-6736(17)32366-8_bib10) 2014; 13 Reisman (10.1016/S0140-6736(17)32366-8_bib50) 2016; 138 (10.1016/S0140-6736(17)32366-8_bib15) 2007 Blencowe (10.1016/S0140-6736(17)32366-8_bib47) 2013; 10 Lim (10.1016/S0140-6736(17)32366-8_bib5) 2012; 380 Hawkes (10.1016/S0140-6736(17)32366-8_bib35) 2015; 385 Yusuf (10.1016/S0140-6736(17)32366-8_bib12) 2016; 374 (10.1016/S0140-6736(17)32366-8_bib52) 2010; 362 Stevens (10.1016/S0140-6736(17)32366-8_bib14) 2016; 388 Ng (10.1016/S0140-6736(17)32366-8_bib33) 2014; 384 Alvarado (10.1016/S0140-6736(17)32366-8_bib40) 2017 (10.1016/S0140-6736(17)32366-8_bib59) 2013 Swinburn (10.1016/S0140-6736(17)32366-8_bib34) 2011; 378 Gasparrini (10.1016/S0140-6736(17)32366-8_bib73) 2015; 386 Scarborough (10.1016/S0140-6736(17)32366-8_bib22) 2011 Bhutta (10.1016/S0140-6736(17)32366-8_bib46) 2013; 382 Britton (10.1016/S0140-6736(17)32366-8_bib2) 2017; 112 Cecchini (10.1016/S0140-6736(17)32366-8_bib23) 2010; 376 Briggs (10.1016/S0140-6736(17)32366-8_bib42) 2013; 13 Clark (10.1016/S0140-6736(17)32366-8_bib39) 2012; 18 Džeroski (10.1016/S0140-6736(17)32366-8_bib16) 2004; 54 (10.1016/S0140-6736(17)32366-8_bib31) 2003 Singh (10.1016/S0140-6736(17)32366-8_bib9) 2015; 132 McCambridge (10.1016/S0140-6736(17)32366-8_bib56) 2015; 34 Petry (10.1016/S0140-6736(17)32366-8_bib67) 2016; 8 Muntner (10.1016/S0140-6736(17)32366-8_bib27) 2004; 43 Sandin (10.1016/S0140-6736(17)32366-8_bib71) 1999; 5 (10.1016/S0140-6736(17)32366-8_bib62) 2004 Gupta (10.1016/S0140-6736(17)32366-8_bib19) 1993 Morrissey (10.1016/S0140-6736(17)32366-8_bib30) 2016; 45 Micha (10.1016/S0140-6736(17)32366-8_bib7) 2015; 5 Massey (10.1016/S0140-6736(17)32366-8_bib17) 1951; 46 Foster (10.1016/S0140-6736(17)32366-8_bib72) 2000; 288 Been (10.1016/S0140-6736(17)32366-8_bib1) 2016; 388 Song (10.1016/S0140-6736(17)32366-8_bib26) 2016; 6 Takala (10.1016/S0140-6736(17)32366-8_bib68) 2014; 11 Coleman (10.1016/S0140-6736(17)32366-8_bib28) 2007; 4 Goetzel (10.1016/S0140-6736(17)32366-8_bib24) 1998; 40 Lawn (10.1016/S0140-6736(17)32366-8_bib65) 2010; 10 Roberto (10.1016/S0140-6736(17)32366-8_bib36) 2015; 385 Ford (10.1016/S0140-6736(17)32366-8_bib20) 2007; 356 Blencowe (10.1016/S0140-6736(17)32366-8_bib64) 2012; 379 Raffensperger (10.1016/S0140-6736(17)32366-8_bib70) 1999 Bhatnagar (10.1016/S0140-6736(17)32366-8_bib21) 2015; 101 Murray (10.1016/S0140-6736(17)32366-8_bib13) 1999; 10 Forouzanfar (10.1016/S0140-6736(17)32366-8_bib4) 2016; 388 Lelieveld (10.1016/S0140-6736(17)32366-8_bib66) 2015; 525 Zaidi (10.1016/S0140-6736(17)32366-8_bib53) 2005; 365 Gyamfi-Bannerman (10.1016/S0140-6736(17)32366-8_bib49) 2016; 374 (10.1016/S0140-6736(17)32366-8_bib61) 2017 29032996 - Lancet. 2017 Oct 28;390(10106):e38. doi: 10.1016/S0140-6736(17)32649-1. 28935160 - Lancet. 2017 Oct 14;390(10104):1736. doi: 10.1016/S0140-6736(17)32485-6. 29297510 - Nat Rev Cardiol. 2018 Apr;15(4):193-194. doi: 10.1038/nrcardio.2017.207. |
| References_xml | – volume: 34 start-page: 58 year: 2015 end-page: 66 ident: bib56 article-title: Has industry funding biased studies of the protective effects of alcohol on cardiovascular disease? A preliminary investigation of prospective cohort studies publication-title: Drug Alcohol Rev – volume: 94 start-page: 120 year: 2004 end-page: 133 ident: bib58 article-title: Estimating the global burden of disease of mild mental retardation and cardiovascular diseases from environmental lead exposure publication-title: Environ Res – volume: 11 start-page: e0158765 year: 2016 ident: bib63 article-title: Global prevalence of chronic kidney disease—a systematic review and meta-analysis publication-title: PLoS One – volume: 101 start-page: 1182 year: 2015 end-page: 1189 ident: bib21 article-title: The epidemiology of cardiovascular disease in the UK 2014 publication-title: Heart – ident: bib60 article-title: Joint Monitoring Programme for Water Supply and Sanitation. Jt. Monit. Programme – volume: 379 start-page: 2162 year: 2012 end-page: 2172 ident: bib64 article-title: National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications publication-title: Lancet – volume: 5 start-page: e008705 year: 2015 ident: bib7 article-title: Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide publication-title: BMJ Open – volume: 385 start-page: 2400 year: 2015 end-page: 2409 ident: bib36 article-title: Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking publication-title: Lancet – volume: 33 start-page: 948 year: 2015 end-page: 956 ident: bib25 article-title: Associations between age, cohort, and urbanization with SBP and DBP in China: a population-based study across 18 years publication-title: J Hypertens – volume: 145 start-page: 634 year: 2015 end-page: 639 ident: bib45 article-title: Seasonality modifies the effect of a lipid-based nutrient supplement for pregnant rural women on birth length publication-title: J Nutr – volume: 349 start-page: g4164 year: 2014 ident: bib55 article-title: Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data publication-title: BMJ – year: 2015 ident: bib18 publication-title: An Integrative Metaregression Framework for Descriptive Epidemiology – volume: 388 start-page: e19 year: 2016 end-page: e23 ident: bib14 article-title: Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement publication-title: Lancet – volume: 45 start-page: 783 year: 2016 end-page: 788 ident: bib30 article-title: Older people remain on blood pressure agents despite being hypotensive resulting in increased mortality and hospital admission publication-title: Age Ageing – volume: 168 start-page: 866 year: 2008 end-page: 871 ident: bib54 article-title: Are lifetime abstainers the best control group in alcohol epidemiology? On the stability and validity of reported lifetime abstention publication-title: Am J Epidemiol – year: 2013 ident: bib59 publication-title: Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence – volume: 356 start-page: 2388 year: 2007 end-page: 2398 ident: bib20 article-title: Explaining the Decrease in U.S. Deaths from Coronary Disease, 1980–2000 publication-title: N Engl J Med – volume: 376 start-page: 1775 year: 2010 end-page: 1784 ident: bib23 article-title: Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness publication-title: Lancet – volume: 40 start-page: 843 year: 1998 end-page: 854 ident: bib24 article-title: The relationship between modifiable health risks and health publication-title: J Occup Environ Med – volume: 13 start-page: 860 year: 2013 ident: bib42 article-title: The potential impact on obesity of a 10% tax on sugar-sweetened beverages in Ireland, an effect assessment modelling study publication-title: BMC Public Health – volume: 374 start-page: 2021 year: 2016 end-page: 2031 ident: bib12 article-title: Cholesterol Lowering in Intermediate-Risk Persons without Cardiovascular Disease publication-title: N Engl J Med – year: 2017 ident: bib40 article-title: Trends in beverage prices following the introduction of a tax on sugar-sweetened beverages in Barbados publication-title: Prev Med – volume: 10 start-page: 594 year: 1999 end-page: 605 ident: bib13 article-title: On the comparable quantification of health risks: lessons from the Global Burden of Disease Study publication-title: Epidemiol Camb Mass – volume: 139 start-page: e20162132 year: 2017 ident: bib51 article-title: Implementation of ‘Helping Babies Breathe’: a 3-year experience in Tanzania publication-title: Pediatrics – volume: 362 start-page: 1970 year: 2010 end-page: 1979 ident: bib52 article-title: Early CPAP versus surfactant in extremely preterm infants publication-title: N Engl J Med – volume: 386 start-page: 2287 year: 2015 end-page: 2323 ident: bib6 article-title: Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 publication-title: Lancet – volume: 288 start-page: 979 year: 2000 end-page: 981 ident: bib72 article-title: Science and the precautionary principle publication-title: Science – volume: 388 start-page: 560 year: 2016 end-page: 561 ident: bib1 article-title: Risk factors for neonatal disorders and the Global Burden of Disease publication-title: Lancet – volume: 525 start-page: 367 year: 2015 end-page: 371 ident: bib66 article-title: The contribution of outdoor air pollution sources to premature mortality on a global scale publication-title: Nature – volume: 384 start-page: 766 year: 2014 end-page: 781 ident: bib33 article-title: Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013 publication-title: Lancet – volume: 11 start-page: 326 year: 2014 end-page: 337 ident: bib68 article-title: Global estimates of the burden of injury and illness at work in 2012 publication-title: J Occup Environ Hyg – year: 2003 ident: bib31 publication-title: WHO framework convention on tobacco control – volume: 378 start-page: 804 year: 2011 end-page: 814 ident: bib34 article-title: The global obesity pandemic: shaped by global drivers and local environments publication-title: Lancet – volume: 385 start-page: 2410 year: 2015 end-page: 2421 ident: bib35 article-title: Smart food policies for obesity prevention publication-title: Lancet – year: 2013 ident: bib37 publication-title: Global nutrition policy review: What does it take to scale up nutrition action? – year: 2007 ident: bib15 publication-title: Food, nutrition, physical activity, and the prevention of cancer: a global perspective – volume: 386 start-page: 369 year: 2015 end-page: 375 ident: bib73 article-title: Mortality risk attributable to high and low ambient temperature: a multicountry observational study publication-title: Lancet – volume: 18 start-page: 53 year: 2012 end-page: 65 ident: bib39 article-title: Exporting obesity: US farm and trade policy and the transformation of the Mexican consumer food environment publication-title: Int J Occup Environ Health – volume: 132 start-page: 639 year: 2015 end-page: 666 ident: bib9 article-title: Estimated Global, Regional, and National Disease Burdens Related to Sugar-Sweetened Beverage Consumption in 2010 publication-title: Circulation – volume: 365 start-page: 1175 year: 2005 end-page: 1188 ident: bib53 article-title: Hospital-acquired neonatal infections in developing countries publication-title: Lancet – volume: 54 start-page: 255 year: 2004 end-page: 273 ident: bib16 article-title: Is Combining Classifiers with Stacking Better than Selecting the Best One? publication-title: Mach Learn – volume: 382 start-page: 452 year: 2013 end-page: 477 ident: bib46 article-title: Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? publication-title: Lancet – volume: 8 start-page: 693 year: 2016 ident: bib67 article-title: The proportion of anemia associated with iron deficiency in low, medium, and high human development index countries: a systematic analysis of national surveys publication-title: Nutrients – volume: 112 start-page: 218 year: 2017 end-page: 219 ident: bib2 article-title: The protective effects of moderate drinking: lies, damned lies, and… selection biases? publication-title: Addict Abingdon Engl – volume: 48 start-page: 3976 year: 2016 end-page: 3994 ident: bib41 article-title: The impact of the French soda tax on prices, purchases and tastes: an ex post evaluation publication-title: Applied Economics – volume: 43 start-page: 578 year: 2004 end-page: 585 ident: bib27 article-title: Factors associated with hypertension awareness, treatment, and control in a representative sample of the Chinese population publication-title: Hypertension – volume: 73 start-page: 497 year: 2016 end-page: 498 ident: bib3 article-title: Excess deaths due to occupation publication-title: Occup Env Med – volume: 4 start-page: e216 year: 2007 ident: bib28 article-title: Can pay-for-performance improve quality and reduce health disparities? publication-title: PLoS Med – volume: 46 start-page: 68 year: 1951 end-page: 78 ident: bib17 article-title: The Kolmogorov-Smirnov Test for Goodness of Fit publication-title: J Am Stat Assoc – volume: 10 start-page: S1 year: 2010 ident: bib65 article-title: Global report on preterm birth and stillbirth (1 of 7): definitions, description of the burden and opportunities to improve data publication-title: BMC Pregnancy Childbirth – year: 2004 ident: bib62 publication-title: Low birthweight: Country, regional, and global estimates – volume: 374 start-page: 1311 year: 2016 end-page: 1320 ident: bib49 article-title: Antenatal betamethasone for women at risk for late preterm delivery publication-title: N Engl J Med – volume: 138 start-page: e20154490 year: 2016 ident: bib50 article-title: newborn resuscitation training in resource-limited settings: a systematic literature review publication-title: Pediatrics – volume: 10 start-page: e0124845 year: 2015 ident: bib8 article-title: Global, regional, and national consumption of sugar-sweetened beverages, fruit juices, and milk: a systematic assessment of beverage intake in 187 countries publication-title: PLoS One – year: 1993 ident: bib19 publication-title: Standardization and Decomposition of Rates: A User's Manual – year: 2011 ident: bib22 publication-title: Trends in coronary heart disease, 1961-2011 – year: 2017 ident: bib44 article-title: International Decades – volume: 373 start-page: 2103 year: 2015 end-page: 2116 ident: bib11 article-title: A randomized trial of intensive versus standard blood-pressure control publication-title: N Engl J Med – year: 1999 ident: bib70 publication-title: Protecting Public Health and the Environment: Implementing The Precautionary Principle – volume: 23 start-page: 112 year: 2004 end-page: 118 ident: bib29 article-title: Quality Incentives: The Case Of U.K. General Practitioners publication-title: Health Aff (Millwood) – volume: 5 start-page: 889 year: 1999 end-page: 907 ident: bib71 article-title: Dimensions of the precautionary principle publication-title: Hum Ecol Risk Assess Int J – volume: 352 start-page: h6704 year: 2016 ident: bib38 article-title: Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study publication-title: BMJ – volume: 388 start-page: 1659 year: 2016 end-page: 1724 ident: bib4 article-title: Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015 publication-title: Lancet – volume: 387 start-page: 1377 year: 2016 end-page: 1396 ident: bib32 article-title: Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants publication-title: Lancet – volume: 13 start-page: 1072 year: 2013 ident: bib43 article-title: Evidence that a tax on sugar sweetened beverages reduces the obesity rate: a meta-analysis publication-title: BMC Public Health – year: 2017 ident: bib61 publication-title: Joint child malnutrition estimates—Levels and trends – volume: 6 start-page: 39480 year: 2016 ident: bib26 article-title: Height and prevalence of hypertension in a middle-aged and older Chinese population publication-title: Sci Rep – volume: 10 start-page: S2 year: 2013 ident: bib47 article-title: Born too soon: The global epidemiology of 15 million preterm births publication-title: Reprod Health – volume: 17 start-page: 12 year: 2012 end-page: 19 ident: bib48 article-title: Intrauterine infection and preterm labor publication-title: Semin Fetal Neonatal Med – volume: 385 start-page: 966 year: 2015 end-page: 976 ident: bib57 article-title: Global trends and projections for tobacco use, 1990–2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control publication-title: Lancet – volume: 380 start-page: 2224 year: 2012 end-page: 2260 ident: bib5 article-title: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet – volume: 107 start-page: S3 year: 2012 end-page: S7 ident: bib69 article-title: Occupational cancer burden in Great Britain publication-title: Br J Cancer – volume: 13 start-page: 788 year: 2014 end-page: 794 ident: bib10 article-title: Potential for primary prevention of Alzheimer's disease: an analysis of population-based data publication-title: Lancet Neurol – volume: 385 start-page: 2410 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib35 article-title: Smart food policies for obesity prevention publication-title: Lancet doi: 10.1016/S0140-6736(14)61745-1 – volume: 94 start-page: 120 year: 2004 ident: 10.1016/S0140-6736(17)32366-8_bib58 article-title: Estimating the global burden of disease of mild mental retardation and cardiovascular diseases from environmental lead exposure publication-title: Environ Res doi: 10.1016/S0013-9351(03)00132-4 – volume: 101 start-page: 1182 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib21 article-title: The epidemiology of cardiovascular disease in the UK 2014 publication-title: Heart doi: 10.1136/heartjnl-2015-307516 – volume: 6 start-page: 39480 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib26 article-title: Height and prevalence of hypertension in a middle-aged and older Chinese population publication-title: Sci Rep doi: 10.1038/srep39480 – volume: 378 start-page: 804 year: 2011 ident: 10.1016/S0140-6736(17)32366-8_bib34 article-title: The global obesity pandemic: shaped by global drivers and local environments publication-title: Lancet doi: 10.1016/S0140-6736(11)60813-1 – year: 2007 ident: 10.1016/S0140-6736(17)32366-8_bib15 – volume: 10 start-page: S1 year: 2010 ident: 10.1016/S0140-6736(17)32366-8_bib65 article-title: Global report on preterm birth and stillbirth (1 of 7): definitions, description of the burden and opportunities to improve data publication-title: BMC Pregnancy Childbirth doi: 10.1186/1471-2393-10-S1-S1 – volume: 385 start-page: 2400 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib36 article-title: Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking publication-title: Lancet doi: 10.1016/S0140-6736(14)61744-X – volume: 352 start-page: h6704 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib38 article-title: Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study publication-title: BMJ doi: 10.1136/bmj.h6704 – year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib59 – volume: 5 start-page: 889 year: 1999 ident: 10.1016/S0140-6736(17)32366-8_bib71 article-title: Dimensions of the precautionary principle publication-title: Hum Ecol Risk Assess Int J doi: 10.1080/10807039991289185 – volume: 48 start-page: 3976 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib41 article-title: The impact of the French soda tax on prices, purchases and tastes: an ex post evaluation publication-title: Applied Economics – volume: 10 start-page: e0124845 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib8 article-title: Global, regional, and national consumption of sugar-sweetened beverages, fruit juices, and milk: a systematic assessment of beverage intake in 187 countries publication-title: PLoS One doi: 10.1371/journal.pone.0124845 – volume: 362 start-page: 1970 year: 2010 ident: 10.1016/S0140-6736(17)32366-8_bib52 article-title: Early CPAP versus surfactant in extremely preterm infants publication-title: N Engl J Med doi: 10.1056/NEJMoa0911783 – volume: 46 start-page: 68 year: 1951 ident: 10.1016/S0140-6736(17)32366-8_bib17 article-title: The Kolmogorov-Smirnov Test for Goodness of Fit publication-title: J Am Stat Assoc doi: 10.1080/01621459.1951.10500769 – volume: 11 start-page: 326 year: 2014 ident: 10.1016/S0140-6736(17)32366-8_bib68 article-title: Global estimates of the burden of injury and illness at work in 2012 publication-title: J Occup Environ Hyg doi: 10.1080/15459624.2013.863131 – year: 2004 ident: 10.1016/S0140-6736(17)32366-8_bib62 – volume: 356 start-page: 2388 year: 2007 ident: 10.1016/S0140-6736(17)32366-8_bib20 article-title: Explaining the Decrease in U.S. Deaths from Coronary Disease, 1980–2000 publication-title: N Engl J Med doi: 10.1056/NEJMsa053935 – volume: 4 start-page: e216 year: 2007 ident: 10.1016/S0140-6736(17)32366-8_bib28 article-title: Can pay-for-performance improve quality and reduce health disparities? publication-title: PLoS Med doi: 10.1371/journal.pmed.0040216 – volume: 40 start-page: 843 year: 1998 ident: 10.1016/S0140-6736(17)32366-8_bib24 article-title: The relationship between modifiable health risks and health publication-title: J Occup Environ Med doi: 10.1097/00043764-199810000-00003 – volume: 145 start-page: 634 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib45 article-title: Seasonality modifies the effect of a lipid-based nutrient supplement for pregnant rural women on birth length publication-title: J Nutr doi: 10.3945/jn.114.203448 – volume: 54 start-page: 255 year: 2004 ident: 10.1016/S0140-6736(17)32366-8_bib16 article-title: Is Combining Classifiers with Stacking Better than Selecting the Best One? publication-title: Mach Learn doi: 10.1023/B:MACH.0000015881.36452.6e – year: 2017 ident: 10.1016/S0140-6736(17)32366-8_bib40 article-title: Trends in beverage prices following the introduction of a tax on sugar-sweetened beverages in Barbados publication-title: Prev Med doi: 10.1016/j.ypmed.2017.07.013 – volume: 386 start-page: 369 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib73 article-title: Mortality risk attributable to high and low ambient temperature: a multicountry observational study publication-title: Lancet doi: 10.1016/S0140-6736(14)62114-0 – volume: 168 start-page: 866 year: 2008 ident: 10.1016/S0140-6736(17)32366-8_bib54 article-title: Are lifetime abstainers the best control group in alcohol epidemiology? On the stability and validity of reported lifetime abstention publication-title: Am J Epidemiol doi: 10.1093/aje/kwn093 – volume: 384 start-page: 766 year: 2014 ident: 10.1016/S0140-6736(17)32366-8_bib33 article-title: Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013 publication-title: Lancet doi: 10.1016/S0140-6736(14)60460-8 – volume: 112 start-page: 218 year: 2017 ident: 10.1016/S0140-6736(17)32366-8_bib2 article-title: The protective effects of moderate drinking: lies, damned lies, and… selection biases? publication-title: Addict Abingdon Engl doi: 10.1111/add.13585 – volume: 388 start-page: e19 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib14 article-title: Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement publication-title: Lancet doi: 10.1016/S0140-6736(16)30388-9 – volume: 45 start-page: 783 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib30 article-title: Older people remain on blood pressure agents despite being hypotensive resulting in increased mortality and hospital admission publication-title: Age Ageing doi: 10.1093/ageing/afw120 – volume: 387 start-page: 1377 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib32 article-title: Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants publication-title: Lancet doi: 10.1016/S0140-6736(16)30054-X – year: 2011 ident: 10.1016/S0140-6736(17)32366-8_bib22 – volume: 388 start-page: 1659 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib4 article-title: Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015 publication-title: Lancet doi: 10.1016/S0140-6736(16)31679-8 – volume: 13 start-page: 788 year: 2014 ident: 10.1016/S0140-6736(17)32366-8_bib10 article-title: Potential for primary prevention of Alzheimer's disease: an analysis of population-based data publication-title: Lancet Neurol doi: 10.1016/S1474-4422(14)70136-X – volume: 132 start-page: 639 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib9 article-title: Estimated Global, Regional, and National Disease Burdens Related to Sugar-Sweetened Beverage Consumption in 2010 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.114.010636 – volume: 33 start-page: 948 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib25 article-title: Associations between age, cohort, and urbanization with SBP and DBP in China: a population-based study across 18 years publication-title: J Hypertens doi: 10.1097/HJH.0000000000000522 – volume: 365 start-page: 1175 year: 2005 ident: 10.1016/S0140-6736(17)32366-8_bib53 article-title: Hospital-acquired neonatal infections in developing countries publication-title: Lancet doi: 10.1016/S0140-6736(05)71881-X – volume: 17 start-page: 12 year: 2012 ident: 10.1016/S0140-6736(17)32366-8_bib48 article-title: Intrauterine infection and preterm labor publication-title: Semin Fetal Neonatal Med doi: 10.1016/j.siny.2011.09.001 – year: 1993 ident: 10.1016/S0140-6736(17)32366-8_bib19 – volume: 382 start-page: 452 year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib46 article-title: Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? publication-title: Lancet doi: 10.1016/S0140-6736(13)60996-4 – volume: 13 start-page: 860 year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib42 article-title: The potential impact on obesity of a 10% tax on sugar-sweetened beverages in Ireland, an effect assessment modelling study publication-title: BMC Public Health doi: 10.1186/1471-2458-13-860 – volume: 373 start-page: 2103 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib11 article-title: A randomized trial of intensive versus standard blood-pressure control publication-title: N Engl J Med doi: 10.1056/NEJMoa1511939 – volume: 10 start-page: 594 year: 1999 ident: 10.1016/S0140-6736(17)32366-8_bib13 article-title: On the comparable quantification of health risks: lessons from the Global Burden of Disease Study publication-title: Epidemiol Camb Mass doi: 10.1097/00001648-199909000-00029 – year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib37 – volume: 385 start-page: 966 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib57 article-title: Global trends and projections for tobacco use, 1990–2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control publication-title: Lancet doi: 10.1016/S0140-6736(15)60264-1 – volume: 73 start-page: 497 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib3 article-title: Excess deaths due to occupation publication-title: Occup Env Med doi: 10.1136/oemed-2016-103743 – volume: 8 start-page: 693 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib67 article-title: The proportion of anemia associated with iron deficiency in low, medium, and high human development index countries: a systematic analysis of national surveys publication-title: Nutrients doi: 10.3390/nu8110693 – volume: 23 start-page: 112 year: 2004 ident: 10.1016/S0140-6736(17)32366-8_bib29 article-title: Quality Incentives: The Case Of U.K. General Practitioners publication-title: Health Aff (Millwood) doi: 10.1377/hlthaff.23.3.112 – volume: 138 start-page: e20154490 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib50 article-title: newborn resuscitation training in resource-limited settings: a systematic literature review publication-title: Pediatrics doi: 10.1542/peds.2015-4490 – volume: 11 start-page: e0158765 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib63 article-title: Global prevalence of chronic kidney disease—a systematic review and meta-analysis publication-title: PLoS One doi: 10.1371/journal.pone.0158765 – year: 2017 ident: 10.1016/S0140-6736(17)32366-8_bib61 – volume: 43 start-page: 578 year: 2004 ident: 10.1016/S0140-6736(17)32366-8_bib27 article-title: Factors associated with hypertension awareness, treatment, and control in a representative sample of the Chinese population publication-title: Hypertension doi: 10.1161/01.HYP.0000116302.08484.14 – volume: 376 start-page: 1775 year: 2010 ident: 10.1016/S0140-6736(17)32366-8_bib23 article-title: Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness publication-title: Lancet doi: 10.1016/S0140-6736(10)61514-0 – volume: 139 start-page: e20162132 year: 2017 ident: 10.1016/S0140-6736(17)32366-8_bib51 article-title: Implementation of ‘Helping Babies Breathe’: a 3-year experience in Tanzania publication-title: Pediatrics doi: 10.1542/peds.2016-2132 – volume: 288 start-page: 979 year: 2000 ident: 10.1016/S0140-6736(17)32366-8_bib72 article-title: Science and the precautionary principle publication-title: Science doi: 10.1126/science.288.5468.979 – volume: 386 start-page: 2287 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib6 article-title: Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 publication-title: Lancet doi: 10.1016/S0140-6736(15)00128-2 – year: 1999 ident: 10.1016/S0140-6736(17)32366-8_bib70 – volume: 5 start-page: e008705 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib7 article-title: Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide publication-title: BMJ Open doi: 10.1136/bmjopen-2015-008705 – volume: 379 start-page: 2162 year: 2012 ident: 10.1016/S0140-6736(17)32366-8_bib64 article-title: National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications publication-title: Lancet doi: 10.1016/S0140-6736(12)60820-4 – volume: 10 start-page: S2 year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib47 article-title: Born too soon: The global epidemiology of 15 million preterm births publication-title: Reprod Health doi: 10.1186/1742-4755-10-S1-S2 – volume: 374 start-page: 1311 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib49 article-title: Antenatal betamethasone for women at risk for late preterm delivery publication-title: N Engl J Med doi: 10.1056/NEJMoa1516783 – volume: 349 start-page: g4164 year: 2014 ident: 10.1016/S0140-6736(17)32366-8_bib55 article-title: Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data publication-title: BMJ doi: 10.1136/bmj.g4164 – volume: 388 start-page: 560 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib1 article-title: Risk factors for neonatal disorders and the Global Burden of Disease publication-title: Lancet doi: 10.1016/S0140-6736(16)31212-0 – volume: 34 start-page: 58 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib56 article-title: Has industry funding biased studies of the protective effects of alcohol on cardiovascular disease? A preliminary investigation of prospective cohort studies publication-title: Drug Alcohol Rev doi: 10.1111/dar.12125 – volume: 18 start-page: 53 year: 2012 ident: 10.1016/S0140-6736(17)32366-8_bib39 article-title: Exporting obesity: US farm and trade policy and the transformation of the Mexican consumer food environment publication-title: Int J Occup Environ Health doi: 10.1179/1077352512Z.0000000007 – volume: 374 start-page: 2021 year: 2016 ident: 10.1016/S0140-6736(17)32366-8_bib12 article-title: Cholesterol Lowering in Intermediate-Risk Persons without Cardiovascular Disease publication-title: N Engl J Med doi: 10.1056/NEJMoa1600176 – year: 2003 ident: 10.1016/S0140-6736(17)32366-8_bib31 – volume: 13 start-page: 1072 year: 2013 ident: 10.1016/S0140-6736(17)32366-8_bib43 article-title: Evidence that a tax on sugar sweetened beverages reduces the obesity rate: a meta-analysis publication-title: BMC Public Health doi: 10.1186/1471-2458-13-1072 – year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib18 – volume: 525 start-page: 367 year: 2015 ident: 10.1016/S0140-6736(17)32366-8_bib66 article-title: The contribution of outdoor air pollution sources to premature mortality on a global scale publication-title: Nature doi: 10.1038/nature15371 – volume: 380 start-page: 2224 year: 2012 ident: 10.1016/S0140-6736(17)32366-8_bib5 article-title: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet doi: 10.1016/S0140-6736(12)61766-8 – volume: 107 start-page: S3 year: 2012 ident: 10.1016/S0140-6736(17)32366-8_bib69 article-title: Occupational cancer burden in Great Britain publication-title: Br J Cancer doi: 10.1038/bjc.2012.112 – reference: 29297510 - Nat Rev Cardiol. 2018 Apr;15(4):193-194. doi: 10.1038/nrcardio.2017.207. – reference: 28935160 - Lancet. 2017 Oct 14;390(10104):1736. doi: 10.1016/S0140-6736(17)32485-6. – reference: 29032996 - Lancet. 2017 Oct 28;390(10106):e38. doi: 10.1016/S0140-6736(17)32649-1. |
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| Snippet | The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable... The GBD study remains the only peer-reviewed, comprehensive, and annual assessment of risk factor burden by age, sex, cause, and location for a long time... Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure... BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and... Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and... BACKGROUND: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and... BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and... |
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| Title | Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 |
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