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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

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 occ...

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Published in:The Lancet (British edition) 2017-10
Main Authors: Gakidou, Emmanuela, Afshin, Ashkan, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M. E, Abyu, Gebre Yitayih, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afarideh, Mohsen, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Komal, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, Francois, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansari, Hossein, Anto, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Arian, Nicholas, Arnlov, Johan, Artaman, A, Aryal, Krishna Kumar, Kisa, Adnan, Knudsen, Ann Kristin, Vollset, Stein Emil, Norheim, Ole Frithjof, Tollånes, Mette Christophersen, Weiderpass, Elisabete
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container_title The Lancet (British edition)
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creator Gakidou, Emmanuela
Afshin, Ashkan
Abajobir, Amanuel Alemu
Abate, Kalkidan Hassen
Abbafati, Cristiana
Abbas, Kaja M
Abd-Allah, Foad
Abdulle, Abdishakur M
Abera, Semaw Ferede
Aboyans, Victor
Abu-Raddad, Laith J
Abu-Rmeileh, Niveen M. E
Abyu, Gebre Yitayih
Adedeji, Isaac Akinkunmi
Adetokunboh, Olatunji
Afarideh, Mohsen
Agrawal, Anurag
Agrawal, Sutapa
Kiadaliri, Aliasghar Ahmad
Ahmadieh, Hamid
Ahmed, Muktar Beshir
Aichour, Amani Nidhal
Aichour, Ibtihel
Aichour, Miloud Taki Eddine
Akinyemi, Rufus Olusola
Akseer, Nadia
Alahdab, Fares
Al-Aly, Ziyad
Alam, Khurshid
Alam, Noore
Alam, Tahiya
Alasfoor, Deena
Alene, Kefyalew Addis
Ali, Komal
Alizadeh-Navaei, Reza
Alkerwi, Ala'a
Alla, Francois
Allebeck, Peter
Al-Raddadi, Rajaa
Alsharif, Ubai
Altirkawi, Khalid A
Alvis-Guzman, Nelson
Amare, Azmeraw T
Amini, Erfan
Ammar, Walid
Amoako, Yaw Ampem
Ansari, Hossein
Anto, Josep M
Antonio, Carl Abelardo T
Anwari, Palwasha
Arian, Nicholas
Arnlov, Johan
Artaman, A
Aryal, Krishna Kumar
Kisa, Adnan
Knudsen, Ann Kristin
Vollset, Stein Emil
Norheim, Ole Frithjof
Tollånes, Mette Christophersen
Weiderpass, Elisabete
description 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 ch
doi_str_mv 10.1016/S0140-6736(17)32366-8
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E ; Abyu, Gebre Yitayih ; Adedeji, Isaac Akinkunmi ; Adetokunboh, Olatunji ; Afarideh, Mohsen ; Agrawal, Anurag ; Agrawal, Sutapa ; Kiadaliri, Aliasghar Ahmad ; Ahmadieh, Hamid ; Ahmed, Muktar Beshir ; Aichour, Amani Nidhal ; Aichour, Ibtihel ; Aichour, Miloud Taki Eddine ; Akinyemi, Rufus Olusola ; Akseer, Nadia ; Alahdab, Fares ; Al-Aly, Ziyad ; Alam, Khurshid ; Alam, Noore ; Alam, Tahiya ; Alasfoor, Deena ; Alene, Kefyalew Addis ; Ali, Komal ; Alizadeh-Navaei, Reza ; Alkerwi, Ala'a ; Alla, Francois ; Allebeck, Peter ; Al-Raddadi, Rajaa ; Alsharif, Ubai ; Altirkawi, Khalid A ; Alvis-Guzman, Nelson ; Amare, Azmeraw T ; Amini, Erfan ; Ammar, Walid ; Amoako, Yaw Ampem ; Ansari, Hossein ; Anto, Josep M ; Antonio, Carl Abelardo T ; Anwari, Palwasha ; Arian, Nicholas ; Arnlov, Johan ; Artaman, A ; Aryal, Krishna Kumar ; Kisa, Adnan ; Knudsen, Ann Kristin ; Vollset, Stein Emil ; Norheim, Ole Frithjof ; Tollånes, Mette Christophersen ; Weiderpass, Elisabete</creator><creatorcontrib>Gakidou, Emmanuela ; Afshin, Ashkan ; Abajobir, Amanuel Alemu ; Abate, Kalkidan Hassen ; Abbafati, Cristiana ; Abbas, Kaja M ; Abd-Allah, Foad ; Abdulle, Abdishakur M ; Abera, Semaw Ferede ; Aboyans, Victor ; Abu-Raddad, Laith J ; Abu-Rmeileh, Niveen M. E ; Abyu, Gebre Yitayih ; Adedeji, Isaac Akinkunmi ; Adetokunboh, Olatunji ; Afarideh, Mohsen ; Agrawal, Anurag ; Agrawal, Sutapa ; Kiadaliri, Aliasghar Ahmad ; Ahmadieh, Hamid ; Ahmed, Muktar Beshir ; Aichour, Amani Nidhal ; Aichour, Ibtihel ; Aichour, Miloud Taki Eddine ; Akinyemi, Rufus Olusola ; Akseer, Nadia ; Alahdab, Fares ; Al-Aly, Ziyad ; Alam, Khurshid ; Alam, Noore ; Alam, Tahiya ; Alasfoor, Deena ; Alene, Kefyalew Addis ; Ali, Komal ; Alizadeh-Navaei, Reza ; Alkerwi, Ala'a ; Alla, Francois ; Allebeck, Peter ; Al-Raddadi, Rajaa ; Alsharif, Ubai ; Altirkawi, Khalid A ; Alvis-Guzman, Nelson ; Amare, Azmeraw T ; Amini, Erfan ; Ammar, Walid ; Amoako, Yaw Ampem ; Ansari, Hossein ; Anto, Josep M ; Antonio, Carl Abelardo T ; Anwari, Palwasha ; Arian, Nicholas ; Arnlov, Johan ; Artaman, A ; Aryal, Krishna Kumar ; Kisa, Adnan ; Knudsen, Ann Kristin ; Vollset, Stein Emil ; Norheim, Ole Frithjof ; Tollånes, Mette Christophersen ; Weiderpass, Elisabete</creatorcontrib><description>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.</description><identifier>ISSN: 0140-6736</identifier><identifier>EISSN: 1474-547X</identifier><identifier>DOI: 10.1016/S0140-6736(17)32366-8</identifier><language>eng ; nor</language><publisher>Elsevier</publisher><ispartof>The Lancet (British edition), 2017-10</ispartof><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,26567,27924,27925</link.rule.ids></links><search><creatorcontrib>Gakidou, Emmanuela</creatorcontrib><creatorcontrib>Afshin, Ashkan</creatorcontrib><creatorcontrib>Abajobir, Amanuel Alemu</creatorcontrib><creatorcontrib>Abate, Kalkidan Hassen</creatorcontrib><creatorcontrib>Abbafati, Cristiana</creatorcontrib><creatorcontrib>Abbas, Kaja M</creatorcontrib><creatorcontrib>Abd-Allah, Foad</creatorcontrib><creatorcontrib>Abdulle, Abdishakur M</creatorcontrib><creatorcontrib>Abera, Semaw Ferede</creatorcontrib><creatorcontrib>Aboyans, Victor</creatorcontrib><creatorcontrib>Abu-Raddad, Laith J</creatorcontrib><creatorcontrib>Abu-Rmeileh, Niveen M. 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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.</description><issn>0140-6736</issn><issn>1474-547X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNo9z9tKxDAQBuAgCq6HRxDnUmGrSZP04J2uR1jwYhW8W9JkqtU2kaRd2Pf1QUx3RXKRzEzmg5-QE0YvGGXZ5YIyQZMs59kZy895yrMsKXbIhIlcJFLkb7tk8v9lnxyE8EkpFRmVE_Lz0LpKtVPw-N44O76UNWBVv6lAu-5b-VitEHwTvkCFgCF0aHtwNRQCKvxQq8YNftxFu2q8s-M4Lo-S03r4_tO2doe9qlzb6A0YwHnQ7RB69GEkN80psLKkSRrjXYGCsI7jLio6CqpdhyZAHff6D4RtALgZvEE7ArdNQBUQFv1g1jASR2SvVm3A47_7kLze373MHpP588PT7HqeaEbLPjFSSJ5zzmuOoi6M5KZImSpoWnGUgha5NGldZcJoasp4OCsl1kgNmlLmOT8kp1tXxxB9Y5fWebVktJDpMktTIfgvoNOD4w</recordid><startdate>20171028</startdate><enddate>20171028</enddate><creator>Gakidou, Emmanuela</creator><creator>Afshin, Ashkan</creator><creator>Abajobir, Amanuel Alemu</creator><creator>Abate, Kalkidan Hassen</creator><creator>Abbafati, Cristiana</creator><creator>Abbas, Kaja M</creator><creator>Abd-Allah, Foad</creator><creator>Abdulle, Abdishakur M</creator><creator>Abera, Semaw Ferede</creator><creator>Aboyans, Victor</creator><creator>Abu-Raddad, Laith J</creator><creator>Abu-Rmeileh, Niveen M. 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E</creatorcontrib><creatorcontrib>Abyu, Gebre Yitayih</creatorcontrib><creatorcontrib>Adedeji, Isaac Akinkunmi</creatorcontrib><creatorcontrib>Adetokunboh, Olatunji</creatorcontrib><creatorcontrib>Afarideh, Mohsen</creatorcontrib><creatorcontrib>Agrawal, Anurag</creatorcontrib><creatorcontrib>Agrawal, Sutapa</creatorcontrib><creatorcontrib>Kiadaliri, Aliasghar Ahmad</creatorcontrib><creatorcontrib>Ahmadieh, Hamid</creatorcontrib><creatorcontrib>Ahmed, Muktar Beshir</creatorcontrib><creatorcontrib>Aichour, Amani Nidhal</creatorcontrib><creatorcontrib>Aichour, Ibtihel</creatorcontrib><creatorcontrib>Aichour, Miloud Taki Eddine</creatorcontrib><creatorcontrib>Akinyemi, Rufus Olusola</creatorcontrib><creatorcontrib>Akseer, Nadia</creatorcontrib><creatorcontrib>Alahdab, Fares</creatorcontrib><creatorcontrib>Al-Aly, Ziyad</creatorcontrib><creatorcontrib>Alam, Khurshid</creatorcontrib><creatorcontrib>Alam, Noore</creatorcontrib><creatorcontrib>Alam, Tahiya</creatorcontrib><creatorcontrib>Alasfoor, Deena</creatorcontrib><creatorcontrib>Alene, Kefyalew Addis</creatorcontrib><creatorcontrib>Ali, Komal</creatorcontrib><creatorcontrib>Alizadeh-Navaei, Reza</creatorcontrib><creatorcontrib>Alkerwi, Ala'a</creatorcontrib><creatorcontrib>Alla, Francois</creatorcontrib><creatorcontrib>Allebeck, Peter</creatorcontrib><creatorcontrib>Al-Raddadi, Rajaa</creatorcontrib><creatorcontrib>Alsharif, Ubai</creatorcontrib><creatorcontrib>Altirkawi, Khalid A</creatorcontrib><creatorcontrib>Alvis-Guzman, Nelson</creatorcontrib><creatorcontrib>Amare, Azmeraw T</creatorcontrib><creatorcontrib>Amini, Erfan</creatorcontrib><creatorcontrib>Ammar, Walid</creatorcontrib><creatorcontrib>Amoako, Yaw Ampem</creatorcontrib><creatorcontrib>Ansari, Hossein</creatorcontrib><creatorcontrib>Anto, Josep M</creatorcontrib><creatorcontrib>Antonio, Carl Abelardo T</creatorcontrib><creatorcontrib>Anwari, Palwasha</creatorcontrib><creatorcontrib>Arian, Nicholas</creatorcontrib><creatorcontrib>Arnlov, Johan</creatorcontrib><creatorcontrib>Artaman, A</creatorcontrib><creatorcontrib>Aryal, Krishna Kumar</creatorcontrib><creatorcontrib>Kisa, Adnan</creatorcontrib><creatorcontrib>Knudsen, Ann Kristin</creatorcontrib><creatorcontrib>Vollset, Stein Emil</creatorcontrib><creatorcontrib>Norheim, Ole Frithjof</creatorcontrib><creatorcontrib>Tollånes, Mette Christophersen</creatorcontrib><creatorcontrib>Weiderpass, Elisabete</creatorcontrib><collection>NORA - Norwegian Open Research Archives</collection><jtitle>The Lancet (British edition)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gakidou, Emmanuela</au><au>Afshin, Ashkan</au><au>Abajobir, Amanuel Alemu</au><au>Abate, Kalkidan Hassen</au><au>Abbafati, Cristiana</au><au>Abbas, Kaja M</au><au>Abd-Allah, Foad</au><au>Abdulle, Abdishakur M</au><au>Abera, Semaw Ferede</au><au>Aboyans, Victor</au><au>Abu-Raddad, Laith J</au><au>Abu-Rmeileh, Niveen M. E</au><au>Abyu, Gebre Yitayih</au><au>Adedeji, Isaac Akinkunmi</au><au>Adetokunboh, Olatunji</au><au>Afarideh, Mohsen</au><au>Agrawal, Anurag</au><au>Agrawal, Sutapa</au><au>Kiadaliri, Aliasghar Ahmad</au><au>Ahmadieh, Hamid</au><au>Ahmed, Muktar Beshir</au><au>Aichour, Amani Nidhal</au><au>Aichour, Ibtihel</au><au>Aichour, Miloud Taki Eddine</au><au>Akinyemi, Rufus Olusola</au><au>Akseer, Nadia</au><au>Alahdab, Fares</au><au>Al-Aly, Ziyad</au><au>Alam, Khurshid</au><au>Alam, Noore</au><au>Alam, Tahiya</au><au>Alasfoor, Deena</au><au>Alene, Kefyalew Addis</au><au>Ali, Komal</au><au>Alizadeh-Navaei, Reza</au><au>Alkerwi, Ala'a</au><au>Alla, Francois</au><au>Allebeck, Peter</au><au>Al-Raddadi, Rajaa</au><au>Alsharif, Ubai</au><au>Altirkawi, Khalid A</au><au>Alvis-Guzman, Nelson</au><au>Amare, Azmeraw T</au><au>Amini, Erfan</au><au>Ammar, Walid</au><au>Amoako, Yaw Ampem</au><au>Ansari, Hossein</au><au>Anto, Josep M</au><au>Antonio, Carl Abelardo T</au><au>Anwari, Palwasha</au><au>Arian, Nicholas</au><au>Arnlov, Johan</au><au>Artaman, A</au><au>Aryal, Krishna Kumar</au><au>Kisa, Adnan</au><au>Knudsen, Ann Kristin</au><au>Vollset, Stein Emil</au><au>Norheim, Ole Frithjof</au><au>Tollånes, Mette Christophersen</au><au>Weiderpass, Elisabete</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>The Lancet (British edition)</jtitle><date>2017-10-28</date><risdate>2017</risdate><issn>0140-6736</issn><eissn>1474-547X</eissn><abstract>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.</abstract><pub>Elsevier</pub><doi>10.1016/S0140-6736(17)32366-8</doi><oa>free_for_read</oa></addata></record>
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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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