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dc.date.accessioned2018-07-12T09:38:27Z
dc.date.available2018-07-12T09:38:27Z
dc.date.created2017-12-20T10:56:07Z
dc.date.issued2017
dc.identifier.citationGakidou, 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 . 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 Lancet. 2017, 390(10100), 1345-1422
dc.identifier.urihttp://hdl.handle.net/10852/62244
dc.description.abstractMETHODS: 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.
dc.languageEN
dc.publisherElsevier
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleGlobal, 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
dc.typeJournal article
dc.creator.authorGakidou, Emmanuela
dc.creator.authorAfshin, Ashkan
dc.creator.authorAbajobir, Amanuel Alemu
dc.creator.authorAbate, Kalkidan Hassen
dc.creator.authorAbbafati, Cristiana
dc.creator.authorAbbas, Kaja M.
dc.creator.authorAbd-Allah, Foad
dc.creator.authorAbdulle, Abdishakur M.
dc.creator.authorAbera, Semaw Ferede
dc.creator.authorAboyans, Victor
dc.creator.authorAbu-Raddad, Laith J.
dc.creator.authorAbu-Rmeileh, Niveen M. E.
dc.creator.authorAbyu, Gebre Yitayih
dc.creator.authorAdedeji, Isaac Akinkunmi
dc.creator.authorAdetokunboh, Olatunji
dc.creator.authorAfarideh, Mohsen
dc.creator.authorAgrawal, Anurag
dc.creator.authorAgrawal, Sutapa
dc.creator.authorKiadaliri, Aliasghar Ahmad
dc.creator.authorAhmadieh, Hamid
dc.creator.authorAhmed, Muktar Beshir
dc.creator.authorAichour, Amani Nidhal
dc.creator.authorAichour, Ibtihel
dc.creator.authorAichour, Miloud Taki Eddine
dc.creator.authorAkinyemi, Rufus Olusola
dc.creator.authorAkseer, Nadia
dc.creator.authorAlahdab, Fares
dc.creator.authorAl-Aly, Ziyad
dc.creator.authorAlam, Khurshid
dc.creator.authorAlam, Noore
dc.creator.authorAlam, Tahiya
dc.creator.authorAlasfoor, Deena
dc.creator.authorAlene, Kefyalew Addis
dc.creator.authorAli, Komal
dc.creator.authorAlizadeh-Navaei, Reza
dc.creator.authorAlkerwi, Ala'a
dc.creator.authorAlla, Francois
dc.creator.authorAllebeck, Peter
dc.creator.authorAl-Raddadi, Rajaa
dc.creator.authorAlsharif, Ubai
dc.creator.authorAltirkawi, Khalid A.
dc.creator.authorAlvis-Guzman, Nelson
dc.creator.authorAmare, Azmeraw T.
dc.creator.authorAmini, Erfan
dc.creator.authorAmmar, Walid
dc.creator.authorAmoako, Yaw Ampem
dc.creator.authorAnsari, Hossein
dc.creator.authorAnto, Josep M.
dc.creator.authorAntonio, Carl Abelardo T.
dc.creator.authorAnwari, Palwasha
dc.creator.authorArian, Nicholas
dc.creator.authorArnlov, Johan
dc.creator.authorArtaman, A.
dc.creator.authorAryal, Krishna Kumar
dc.creator.authorKisa, Adnan
dc.creator.authorKnudsen, Ann Kristin
dc.creator.authorVollset, Stein Emil
dc.creator.authorNorheim, Ole Frithjof
dc.creator.authorTollånes, Mette Christophersen
dc.creator.authorWeiderpass, Elisabete
cristin.unitcode185,52,11,0
cristin.unitnameAvdeling for helseledelse og helseøkonomi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2A
dc.identifier.cristin1530250
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=The Lancet&rft.volume=390&rft.spage=1345&rft.date=2017
dc.identifier.jtitleThe Lancet
dc.identifier.volume390
dc.identifier.issue10100
dc.identifier.startpage1345
dc.identifier.endpage1422
dc.identifier.doihttp://dx.doi.org/10.1016/S0140-6736(17)32366-8
dc.identifier.urnURN:NBN:no-64832
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0140-6736
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/62244/2/Gakidou%2B2017_Risk%2Bfactors.pdf
dc.type.versionPublishedVersion


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