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Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abegaz KH, Abolhassani H, Aboyans V, Abreu LG, Abrigo MRM, Abualhasan A, Abu-Raddad LJ, Abushouk AI, Adabi M, Adekanmbi V, Adeoye AM, Adetokunboh OO, Adham D, Advani SM, Agarwal G, Aghamir SMK, Agrawal A, Ahmad T, Ahmadi K, Ahmadi M, Ahmadieh H, Ahmed MB, Akalu TY, Akinyemi RO, Akinyemiju T, Akombi B, Akunna CJ, Alahdab F, Al-Aly Z, Alam K, Alam S, Alam T, Alanezi FM, Alanzi TM, Alemu BW, Alhabib KF, Ali M, Ali S, Alicandro G, Alinia C, Alipour V, Alizade H, Aljunid SM, Alla F, Allebeck P, Almasi-Hashiani A, Al-Mekhlafi HM, Alonso J, Altirkawi KA, Amini-Rarani M, Amiri F, Amugsi DA, Ancuceanu R, Anderlini D, Anderson JA, Andrei CL, Andrei T, Angus C, Anjomshoa M, Ansari F, Ansari-Moghaddam A, Antonazzo IC, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ariani F, Armoon B, Ärnlöv J, Arzani A, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Assmus M, Atafar Z, Atnafu DD, Atout MMW, Ausloos F, Ausloos M, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azari S, Azarian G, Azene ZN, Badawi A, et alMurray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abegaz KH, Abolhassani H, Aboyans V, Abreu LG, Abrigo MRM, Abualhasan A, Abu-Raddad LJ, Abushouk AI, Adabi M, Adekanmbi V, Adeoye AM, Adetokunboh OO, Adham D, Advani SM, Agarwal G, Aghamir SMK, Agrawal A, Ahmad T, Ahmadi K, Ahmadi M, Ahmadieh H, Ahmed MB, Akalu TY, Akinyemi RO, Akinyemiju T, Akombi B, Akunna CJ, Alahdab F, Al-Aly Z, Alam K, Alam S, Alam T, Alanezi FM, Alanzi TM, Alemu BW, Alhabib KF, Ali M, Ali S, Alicandro G, Alinia C, Alipour V, Alizade H, Aljunid SM, Alla F, Allebeck P, Almasi-Hashiani A, Al-Mekhlafi HM, Alonso J, Altirkawi KA, Amini-Rarani M, Amiri F, Amugsi DA, Ancuceanu R, Anderlini D, Anderson JA, Andrei CL, Andrei T, Angus C, Anjomshoa M, Ansari F, Ansari-Moghaddam A, Antonazzo IC, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ariani F, Armoon B, Ärnlöv J, Arzani A, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Assmus M, Atafar Z, Atnafu DD, Atout MMW, Ausloos F, Ausloos M, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azari S, Azarian G, Azene ZN, Badawi A, Badiye AD, Bahrami MA, Bakhshaei MH, Bakhtiari A, Bakkannavar SM, Baldasseroni A, Ball K, Ballew SH, Balzi D, Banach M, Banerjee SK, Bante AB, Baraki AG, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Barua L, Basu S, Baune BT, Bayati M, Becker JS, Bedi N, Beghi E, Béjot Y, Bell ML, Bennitt FB, Bensenor IM, Berhe K, Berman AE, Bhagavathula AS, Bhageerathy R, Bhala N, Bhandari D, Bhattacharyya K, Bhutta ZA, Bijani A, Bikbov B, Bin Sayeed MS, Biondi A, Birihane BM, Bisignano C, Biswas RK, Bitew H, Bohlouli S, Bohluli M, Boon-Dooley AS, Borges G, Borzì AM, Borzouei S, Bosetti C, Boufous S, Braithwaite D, Breitborde NJK, Breitner S, Brenner H, Briant PS, Briko AN, Briko NI, Britton GB, Bryazka D, Bumgarner BR, Burkart K, Burnett RT, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cahill LE, Cámera LLAA, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Castro F, Causey K, Cederroth CR, Cercy KM, Cerin E, Chandan JS, Chang KL, Charlson FJ, Chattu VK, Chaturvedi S, Cherbuin N, Chimed-Ochir O, Cho DY, Choi JYJ, Christensen H, Chu DT, Chung MT, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Classen TKD, Cohen AJ, Compton K, Cooper OR, Costa VM, Cousin E, Cowden RG, Cross DH, Cruz JA, Dahlawi SMA, Damasceno AAM, Damiani G, Dandona L, Dandona R, Dangel WJ, Danielsson AK, Dargan PI, Darwesh AM, Daryani A, Das JK, Das Gupta R, das Neves J, Dávila-Cervantes CA, Davitoiu DV, De Leo D, Degenhardt L, DeLang M, Dellavalle RP, Demeke FM, Demoz GT, Demsie DG, Denova-Gutiérrez E, Dervenis N, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Dibaji Forooshani ZS, Djalalinia S, Do HT, Dokova K, Dorostkar F, Doshmangir L, Driscoll TR, Duncan BB, Duraes AR, Eagan AW, Edvardsson D, El Nahas N, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, El-Jaafary SI, Elyazar IRF, Emmons-Bell S, Erskine HE, Eskandarieh S, Esmaeilnejad S, Esteghamati A, Estep K, Etemadi A, Etisso AE, Fanzo J, Farahmand M, Fareed M, Faridnia R, Farioli A, Faro A, Faruque M, Farzadfar F, Fattahi N, Fazlzadeh M, Feigin VL, Feldman R, Fereshtehnejad SM, Fernandes E, Ferrara G, Ferrari AJ, Ferreira ML, Filip I, Fischer F, Fisher JL, Flor LS, Foigt NA, Folayan MO, Fomenkov AA, Force LM, Foroutan M, Franklin RC, Freitas M, Fu W, Fukumoto T, Furtado JM, Gad MM, Gakidou E, Gallus S, Garcia-Basteiro AL, Gardner WM, Geberemariyam BS, Gebreslassie AAAA, Geremew A, Gershberg Hayoon A, Gething PW, Ghadimi M, Ghadiri K, Ghaffarifar F, Ghafourifard M, Ghamari F, Ghashghaee A, Ghiasvand H, Ghith N, Gholamian A, Ghosh R, Gill PS, Ginindza TGG, Giussani G, Gnedovskaya EV, Goharinezhad S, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Grivna M, Grosso G, Gubari MIM, Gugnani HC, Guimarães RA, Guled RA, Guo G, Guo Y, Gupta R, Gupta T, Haddock B, Hafezi-Nejad N, Hafiz A, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Halvaei I, Hamadeh RR, Hamidi S, Hammer MS, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hasan MM, Hasanpoor E, Hashi A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hay SI, Hayat K, Heidari G, Heidari-Soureshjani R, Henrikson HJ, Herbert ME, Herteliu C, Heydarpour F, Hird TR, Hoek HW, Holla R, Hoogar P, Hosgood HD, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Hsieh VCR, Hu G, Hu K, Huda TM, Humayun A, Huynh CK, Hwang BF, Iannucci VC, Ibitoye SE, Ikeda N, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Ippolito H, Iqbal U, Irvani SSN, Irvine CMS, Islam MM, Islam SMS, Iso H, Ivers RQ, Iwu CCD, Iwu CJ, Iyamu IO, Jaafari J, Jacobsen KH, Jafari H, Jafarinia M, Jahani MA, Jakovljevic M, Jalilian F, James SL, Janjani H, Javaheri T, Javidnia J, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Johansson L, John O, John-Akinola YO, Johnson CO, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabir Z, Kalani H, Kalani R, Kalankesh LR, Kalhor R, Kanchan T, Kapoor N, Karami Matin B, Karch A, Karim MA, Kassa GM, Katikireddi SV, Kayode GA, Kazemi Karyani A, Keiyoro PN, Keller C, Kemmer L, Kendrick PJ, Khalid N, Khammarnia M, Khan EA, Khan M, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaei S, Kieling C, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Knibbs LD, Knudsen AKS, Kocarnik JM, Kochhar S, Kopec JA, Korshunov VA, Koul PA, Koyanagi A, Kraemer MUG, Krishan K, Krohn KJ, Kromhout H, Kuate Defo B, Kumar GA, Kumar V, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lallukka T, Lami FH, Landires I, Lang JJ, Langan SM, Larsson AO, Lasrado S, Lauriola P, Lazarus JV, Lee PH, Lee SWH, LeGrand KE, Leigh J, Leonardi M, Lescinsky H, Leung J, Levi M, Li S, Lim LL, Linn S, Liu S, Liu S, Liu Y, Lo J, Lopez AD, Lopez JCF, Lopukhov PD, Lorkowski S, Lotufo PA, Lu A, Lugo A, Maddison ER, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Maleki S, Malekzadeh R, Malta DC, Mamun AA, Manda AL, Manguerra H, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantilla Herrera AM, Maravilla JC, Marks A, Martin RV, Martini S, Martins-Melo FR, Masaka A, Masoumi SZ, Mathur MR, Matsushita K, Maulik PK, McAlinden C, McGrath JJ, McKee M, Mehndiratta MM, Mehri F, Mehta KM, Memish ZA, Mendoza W, Menezes RG, Mengesha EW, Mereke A, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mills EJ, Mini GK, Miri M, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Mirzaei R, Mirzaei-Alavijeh M, Misganaw AT, Mithra P, Moazen B, Mohammad DK, Mohammad Y, Mohammad Gholi Mezerji N, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed AS, Mohammed H, Mohammed JA, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mooney MD, Moradi G, Moradi M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morawska L, Morgado-da-Costa J, Morrison SD, Mosapour A, Mosser JF, Mouodi S, Mousavi SM, Mousavi Khaneghah A, Mueller UO, Mukhopadhyay S, Mullany EC, Musa KI, Muthupandian S, Nabhan AF, Naderi M, Nagarajan AJ, Nagel G, Naghavi M, Naghshtabrizi B, Naimzada MD, Najafi F, Nangia V, Nansseu JR, Naserbakht M, Nayak VC, Negoi I, Ngunjiri JW, Nguyen CT, Nguyen HLT, Nguyen M, Nigatu YT, Nikbakhsh R, Nixon MR, Nnaji CA, Nomura S, Norrving B, Noubiap JJ, Nowak C, Nunez-Samudio V, Oţoiu A, Oancea B, Odell CM, Ogbo FA, Oh IH, Okunga EW, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omer MO, Ong KL, Onwujekwe OE, Orpana HM, Ortiz A, Osarenotor O, Osei FB, Ostroff SM, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Palladino R, Panda-Jonas S, Pandey A, Parry CDH, Pasovic M, Pasupula DK, Patel SK, Pathak M, Patten SB, Patton GC, Pazoki Toroudi H, Peden AE, Pennini A, Pepito VCF, Peprah EK, Pereira DM, Pesudovs K, Pham HQ, Phillips MR, Piccinelli C, Pilz TM, Piradov MA, Pirsaheb M, Plass D, Polinder S, Polkinghorne KR, Pond CD, Postma MJ, Pourjafar H, Pourmalek F, Poznańska A, Prada SI, Prakash V, Pribadi DRA, Pupillo E, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Rafiee A, Raggi A, Rahman MA, Rajabpour-Sanati A, Rajati F, Rakovac I, Ram P, Ramezanzadeh K, Ranabhat CL, Rao PC, Rao SJ, Rashedi V, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Rawat R, Razo C, Redford SB, Reiner RC, Reitsma MB, Remuzzi G, Renjith V, Renzaho AMN, Resnikoff S, Rezaei N, Rezaei N, Rezapour A, Rhinehart PA, Riahi SM, Ribeiro DC, Ribeiro D, Rickard J, Rivera JA, Roberts NLS, Rodríguez-Ramírez S, Roever L, Ronfani L, Room R, Roshandel G, Roth GA, Rothenbacher D, Rubagotti E, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi E, Sadeghi M, Saeedi R, Saeedi Moghaddam S, Safari Y, Safi S, Safiri S, Sagar R, Sahebkar A, Sajadi SM, Salam N, Salamati P, Salem H, Salem MRR, Salimzadeh H, Salman OM, Salomon 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Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1223-1249. [PMID: 33069327 PMCID: PMC7566194 DOI: 10.1016/s0140-6736(20)30752-2] [Show More Authors] [Citation(s) in RCA: 4851] [Impact Index Per Article: 970.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/21/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. FINDINGS The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. INTERPRETATION Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. FUNDING Bill & Melinda Gates Foundation.
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Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MRM, Abushouk AI, Adabi M, Adair T, Adebayo OM, Adedeji IA, Adekanmbi V, Adeoye AM, Adetokunboh OO, Advani SM, Afshin A, Aghaali M, Agrawal A, Ahmadi K, Ahmadieh H, Ahmed MB, Al-Aly Z, Alam K, Alam T, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Ali M, Alicandro G, Alijanzadeh M, Alinia C, Alipour V, Alizade H, Aljunid SM, Allebeck P, Almadi MAH, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Amini-Rarani M, Aminorroaya A, Amit AML, Ancuceanu R, Andrei CL, Androudi S, Angus C, Anjomshoa M, Ansari F, Ansari I, Ansari-Moghaddam A, Antonio CAT, Antony CM, Anvari D, Appiah SCY, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Aryal KK, Asadi-Pooya AA, Asgari S, Asghari Jafarabadi M, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azarian G, Babaee E, Badiye AD, Bagli E, Bahrami MA, Bakhtiari A, Balassyano S, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barzegar A, Basu S, Baune BT, Bayati M, Bazmandegan G, Bedi N, Bell ML, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bertolacci GJ, Bhageerathy R, et alWang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MRM, Abushouk AI, Adabi M, Adair T, Adebayo OM, Adedeji IA, Adekanmbi V, Adeoye AM, Adetokunboh OO, Advani SM, Afshin A, Aghaali M, Agrawal A, Ahmadi K, Ahmadieh H, Ahmed MB, Al-Aly Z, Alam K, Alam T, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Ali M, Alicandro G, Alijanzadeh M, Alinia C, Alipour V, Alizade H, Aljunid SM, Allebeck P, Almadi MAH, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Amini-Rarani M, Aminorroaya A, Amit AML, Ancuceanu R, Andrei CL, Androudi S, Angus C, Anjomshoa M, Ansari F, Ansari I, Ansari-Moghaddam A, Antonio CAT, Antony CM, Anvari D, Appiah SCY, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Aryal KK, Asadi-Pooya AA, Asgari S, Asghari Jafarabadi M, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azarian G, Babaee E, Badiye AD, Bagli E, Bahrami MA, Bakhtiari A, Balassyano S, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barzegar A, Basu S, Baune BT, Bayati M, Bazmandegan G, Bedi N, Bell ML, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bertolacci GJ, Bhageerathy R, Bhala N, Bhattacharyya K, Bhutta ZA, Bijani A, Biondi A, Bisanzio D, Bisignano C, Biswas RK, Bjørge T, Bohlouli S, Bohluli M, Bolla SRR, Borzì AM, Borzouei S, Brady OJ, Braithwaite D, Brauer M, Briko AN, Briko NI, Bumgarner BR, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cai T, Callender CSKH, Cámera LLAA, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castelpietra G, Castro F, Catalá-López F, Cederroth CR, Cerin E, Chattu VK, Chin KL, Chu DT, Ciobanu LG, Cirillo M, Comfort H, Costa VM, Cowden RG, Cromwell EA, Croneberger AJ, Cunningham M, Dahlawi SMA, Damiani G, D'Amico E, Dandona L, Dandona R, Dargan PI, Darwesh AM, Daryani A, Das Gupta R, das Neves J, Davletov K, De Leo D, Denova-Gutiérrez E, Deribe K, Dervenis N, Desai R, Dhungana GP, Dias da Silva D, Diaz D, Dippenaar IN, Djalalinia S, Do HT, Dokova K, Doku DT, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Dubljanin E, Duraes AR, Edvardsson D, Effiong A, El Sayed I, El Tantawi M, Elbarazi I, El-Jaafary SI, Emamian MH, Eskandarieh S, Esmaeilzadeh F, Estep K, Farahmand M, Faraj A, Fareed M, Faridnia R, Faro A, Farzadfar F, Fattahi N, Fazaeli AA, Fazlzadeh M, Feigin VL, Fereshtehnejad SM, Fernandes E, Ferreira ML, Filip I, Fischer F, Flohr C, Foigt NA, Folayan MO, Fomenkov AA, Freitas M, Fukumoto T, Fuller JE, Furtado JM, Gad MM, Gakidou E, Gallus S, Gebrehiwot AM, Gebremedhin KB, Gething PW, Ghamari F, Ghashghaee A, Gholamian A, Gilani SA, Gitimoghaddam M, Glushkova EV, Gnedovskaya EV, Gopalani SV, Goulart AC, Gugnani HC, Guo Y, Gupta R, Gupta SS, Haagsma JA, Haj-Mirzaian A, Haj-Mirzaian A, Halvaei I, Hamadeh RR, Hamagharib Abdullah K, Han C, Handiso DW, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hassanipour S, Hassankhani H, Hay SI, Heibati B, Heidari-Soureshjani R, Henny K, Henry NJ, Herteliu C, Heydarpour F, Hole MK, Hoogar P, Hosgood HD, Hossain N, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hoy DG, Hu G, Huda TM, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imani-Nasab MH, Islam M, Iso H, Iwu CJ, Jaafari J, Jacobsen KH, Jahagirdar D, Jahanmehr N, Jalali A, Jalilian F, James SL, Janjani H, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir Z, Kalani H, Kalankesh LR, Kamiab Z, Kanchan T, Kapoor N, Karch A, Karimi SE, Karimi SA, Kassebaum NJ, Katikireddi SV, Kawakami N, Kayode GA, Keiyoro PN, Keller C, Khader YS, Khalid N, Khan EA, Khan M, Khang YH, Khater AM, Khater MM, Khazaei S, Khazaie H, Khodayari MT, Khubchandani J, Kianipour N, Kim CI, Kim YE, Kim YJ, Kinfu Y, Kisa A, Kisa S, Kissimova-Skarbek K, Kivimäki M, Komaki H, Kopec JA, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krohn KJ, Kuate Defo B, Kumar GA, Kumar M, Kumar P, Kumar V, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lami FH, Lansky S, Larson SL, Larsson AO, Lasrado S, Lassi ZS, Lazarus JV, Lee PH, Lee SWH, Leever AT, LeGrand KE, Leonardi M, Li S, Lim LL, Lim SS, Linn S, Lodha R, Logroscino G, Lopez AD, Lopukhov PD, Lotufo PA, Lozano R, Lu A, Lunevicius R, Madadin M, Maddison ER, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahasha PW, Mahdavi MM, Malekzadeh R, Mamun AA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mapoma CC, Martini S, Martins-Melo FR, Masaka A, Mastrogiacomo CI, Mathur MR, May EA, McAlinden C, McGrath JJ, McKee M, Mehndiratta MM, Mehri F, Mehta KM, Meitei WB, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mihretie KM, Miller TR, Mills EJ, Milne GJ, Mirrakhimov EM, Mirzaei H, Mirzaei M, Mirzaei-Alavijeh M, Misganaw AT, Moazen B, Moghadaszadeh M, Mohamadi E, Mohammad DK, Mohammad Y, Mohammad Gholi Mezerji N, Mohammadbeigi A, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed H, Mohammed S, Mohebi F, Mohseni Bandpei MA, Mokari A, Mokdad AH, Momen NC, Monasta L, Mooney MD, Moradi G, Moradi M, Moradi-Joo M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Moreno Velásquez I, Morgado-da-Costa J, Morrison SD, Mosser JF, Mouodi S, Mousavi SM, Mousavi Khaneghah A, Mueller UO, Musa KI, Muthupandian S, Nabavizadeh B, Naderi M, Nagarajan AJ, Naghavi M, Naghshtabrizi B, Naik G, Najafi F, Nangia V, Nansseu JR, Ndwandwe DE, Negoi I, Negoi RI, Ngunjiri JW, Nguyen HLT, Nguyen TH, Nigatu YT, Nikbakhsh R, Nikpoor AR, Nixon MR, Nnaji CA, Nomura S, Noubiap JJ, Nouraei Motlagh S, Nowak C, Oţoiu A, Odell CM, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Ong KL, Onwujekwe OE, Ortiz A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Park J, Pasupula DK, Patel JR, Patel SK, Patton GC, Paulson KR, Pazoki Toroudi H, Pease SA, Peden AE, Pepito VCF, Peprah EK, Pereira A, Pereira DM, Perico N, Pigott DM, Pilgrim T, Pilz TM, Piradov MA, Pirsaheb M, Pokhrel KN, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poznańska A, Prada SI, Prakash S, Preotescu L, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Rafiei A, Raggi A, Rahman MA, Rajabpour-Sanati A, Ram P, Ranabhat CL, Rao SJ, Rasella D, Rashedi V, Rastogi P, Rathi P, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Resnikoff S, Rezaei N, Rezai MS, Rezapour A, Rickard J, Roever L, Ronfani L, Roshandel G, Rostamian M, Rubagotti E, Rwegerera GM, Sabour S, Saddik B, Sadeghi E, Sadeghi M, Saeedi Moghaddam S, Safari Y, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salahshoor MR, Salama JS, Salamati P, Salem MRR, Salimi Y, Salomon JA, Salz I, Samad Z, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sartorius B, Sarveazad A, Sathian B, Sathish T, Sattin D, Saylan M, Schaeffer LE, Schiavolin S, Schwebel DC, Schwendicke F, Sekerija M, Senbeta AM, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Shabani M, Shahabi S, Shahbaz M, Shaheen AA, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Shannawaz M, Sharafi K, Sharafi Z, Sharara F, Sharma R, Shaw DH, Sheikh A, Shin JI, Shiri R, Shrime MG, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Simonetti B, Simpson KE, Singh JA, Skiadaresi E, Skryabin VY, Soheili A, Sokhan A, Sorensen RJD, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stockfelt L, Stokes MA, Stubbs JL, Sudaryanto A, Sufiyan MB, Suliankatchi Abdulkader R, Sykes BL, Tabarés-Seisdedos R, Tabb KM, Tadakamadla SK, Taherkhani A, Tang M, Taveira N, Taylor HJ, Teagle WL, Tehrani-Banihashemi A, Teklehaimanot BF, Tessema ZT, Thankappan KR, Thomas N, Thrift AG, Titova MV, Tohidinik HR, Tonelli M, Topor-Madry R, Topouzis F, Tovani-Palone MRR, Traini E, Tran BX, Travillian R, Trias-Llimós S, Truelsen TC, Tudor Car L, Unnikrishnan B, Upadhyay E, Vacante M, Vakilian A, Valdez PR, Valli A, Vardavas C, Vasankari TJ, Vasconcelos AMN, Vasseghian Y, Veisani Y, Venketasubramanian N, Vidale S, Violante FS, Vlassov V, Vollset SE, Vos T, Vujcic IS, Vukovic A, Vukovic R, Waheed Y, Wallin MT, Walters MK, Wang H, Wang YP, Watson S, Wei J, Weiss J, Weldesamuel GT, Werdecker A, Westerman R, Whiteford HA, Wiangkham T, Wiens KE, Wijeratne T, Wiysonge CS, Wojtyniak B, Wolfe CDA, Wondmieneh AB, Wool EE, Wu AM, Wu J, Xu G, Yamada T, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yearwood JA, Yeheyis TY, Yilgwan CS, Yip P, Yonemoto N, Yoon SJ, Yoosefi Lebni J, York HW, Younis MZ, Younker TP, Yousefi Z, Yousefinezhadi T, Yousuf AY, Yusefzadeh H, Zahirian Moghadam T, Zakzuk J, Zaman SB, Zamani M, Zamanian M, Zandian H, Zhang ZJ, Zheng P, Zhou M, Ziapour A, Murray CJL. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1160-1203. [PMID: 33069325 PMCID: PMC7566045 DOI: 10.1016/s0140-6736(20)30977-6] [Show More Authors] [Citation(s) in RCA: 1083] [Impact Index Per Article: 216.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 03/10/2020] [Accepted: 04/20/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. METHODS 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. FINDINGS The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66-2·79) in 2000 to 2·31 (2·17-2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5-137·8) in 2000 to a peak of 139·6 million (133·0-146·9) in 2016. Global livebirths then declined to 135·3 million (127·2-144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4-27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8-67·6) in 2000 to 73·5 years (72·8-74·3) in 2019. The total number of deaths increased from 50·7 million (49·5-51·9) in 2000 to 56·5 million (53·7-59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1-10·3) in 2000 to 5·0 million (4·3-6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0-6·3) in 2000 to 7·7 billion (7·5-8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1-60·8) in 2000 to 63·5 years (60·8-66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. INTERPRETATION Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. FUNDING Bill & Melinda Gates Foundation.
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Sepanlou SG, Safiri S, Bisignano C, Ikuta KS, Merat S, Saberifiroozi M, Poustchi H, Tsoi D, Colombara DV, Abdoli A, Adedoyin RA, Afarideh M, Agrawal S, Ahmad S, Ahmadian E, Ahmadpour E, Akinyemiju T, Akunna CJ, Alipour V, Almasi-Hashiani A, Almulhim AM, Al-Raddadi RM, Alvis-Guzman N, Anber NH, Angus C, Anoushiravani A, Arabloo J, Araya EM, Asmelash D, Ataeinia B, Ataro Z, Atout MMW, Ausloos F, Awasthi A, Badawi A, Banach M, Bejarano Ramirez DF, Bhagavathula AS, Bhala N, Bhattacharyya K, Biondi A, Bolla SR, Boloor A, Borzì AM, Butt ZA, Cámera LLAA, Campos-Nonato IR, Carvalho F, Chu DT, Chung SC, Cortesi PA, Costa VM, Cowie BC, Daryani A, de Courten B, Demoz GT, Desai R, Dharmaratne SD, Djalalinia S, Do HT, Dorostkar F, Drake TM, Dubey M, Duncan BB, Effiong A, Eftekhari A, Elsharkawy A, Etemadi A, Farahmand M, Farzadfar F, Fernandes E, Filip I, Fischer F, Gebremedhin KBB, Geta B, Gilani SA, Gill PS, Gutirrez RA, Haile MT, Haj-Mirzaian A, Hamid SS, Hasankhani M, Hasanzadeh A, Hashemian M, Hassen HY, Hay SI, Hayat K, Heidari B, Henok A, Hoang CL, Hostiuc M, Hostiuc S, Hsieh VCR, Igumbor EU, Ilesanmi OS, Irvani SSN, Jafari Balalami N, James SL, Jeemon P, Jha RP, et alSepanlou SG, Safiri S, Bisignano C, Ikuta KS, Merat S, Saberifiroozi M, Poustchi H, Tsoi D, Colombara DV, Abdoli A, Adedoyin RA, Afarideh M, Agrawal S, Ahmad S, Ahmadian E, Ahmadpour E, Akinyemiju T, Akunna CJ, Alipour V, Almasi-Hashiani A, Almulhim AM, Al-Raddadi RM, Alvis-Guzman N, Anber NH, Angus C, Anoushiravani A, Arabloo J, Araya EM, Asmelash D, Ataeinia B, Ataro Z, Atout MMW, Ausloos F, Awasthi A, Badawi A, Banach M, Bejarano Ramirez DF, Bhagavathula AS, Bhala N, Bhattacharyya K, Biondi A, Bolla SR, Boloor A, Borzì AM, Butt ZA, Cámera LLAA, Campos-Nonato IR, Carvalho F, Chu DT, Chung SC, Cortesi PA, Costa VM, Cowie BC, Daryani A, de Courten B, Demoz GT, Desai R, Dharmaratne SD, Djalalinia S, Do HT, Dorostkar F, Drake TM, Dubey M, Duncan BB, Effiong A, Eftekhari A, Elsharkawy A, Etemadi A, Farahmand M, Farzadfar F, Fernandes E, Filip I, Fischer F, Gebremedhin KBB, Geta B, Gilani SA, Gill PS, Gutirrez RA, Haile MT, Haj-Mirzaian A, Hamid SS, Hasankhani M, Hasanzadeh A, Hashemian M, Hassen HY, Hay SI, Hayat K, Heidari B, Henok A, Hoang CL, Hostiuc M, Hostiuc S, Hsieh VCR, Igumbor EU, Ilesanmi OS, Irvani SSN, Jafari Balalami N, James SL, Jeemon P, Jha RP, Jonas JB, Jozwiak JJ, Kabir A, Kasaeian A, Kassaye HG, Kefale AT, Khalilov R, Khan MA, Khan EA, Khater A, Kim YJ, Koyanagi A, La Vecchia C, Lim LL, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Magdy Abd El Razek M, Mai HT, Manafi N, Manafi A, Mansournia MA, Mantovani LG, Mazzaglia G, Mehta D, Mendoza W, Menezes RG, Mengesha MM, Meretoja TJ, Mestrovic T, Miazgowski B, Miller TR, Mirrakhimov EM, Mithra P, Moazen B, Moghadaszadeh M, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Montero-Zamora PA, Moradi G, Naimzada MD, Nayak V, Negoi I, Nguyen TH, Ofori-Asenso R, Oh IH, Olagunju TO, Padubidri JR, Pakshir K, Pana A, Pathak M, Pourshams A, Rabiee N, Radfar A, Rafiei A, Ramezanzadeh K, Rana SMM, Rawaf S, Rawaf DL, Reiner RC, Roever L, Room R, Roshandel G, Safari S, Samy AM, Sanabria J, Sartorius B, Schmidt MI, Senthilkumaran S, Shaikh MA, Sharif M, Sharifi A, Shigematsu M, Singh JA, Soheili A, Suleria HAR, Teklehaimanot BF, Tesfay BE, Vacante M, Vahedian-Azimi A, Valdez PR, Vasankari TJ, Vu GT, Waheed Y, Weldegwergs KG, Werdecker A, Westerman R, Wondafrash DZ, Wondmieneh AB, Yeshitila YG, Yonemoto N, Yu C, Zaidi Z, Zarghi A, Zelber-Sagi S, Zewdie KA, Zhang ZJ, Zhao XJ, Naghavi M, Malekzadeh R. The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol 2020; 5:245-266. [PMID: 31981519 PMCID: PMC7026710 DOI: 10.1016/s2468-1253(19)30349-8] [Show More Authors] [Citation(s) in RCA: 979] [Impact Index Per Article: 195.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cirrhosis and other chronic liver diseases (collectively referred to as cirrhosis in this paper) are a major cause of morbidity and mortality globally, although the burden and underlying causes differ across locations and demographic groups. We report on results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 on the burden of cirrhosis and its trends since 1990, by cause, sex, and age, for 195 countries and territories. METHODS We used data from vital registrations, vital registration samples, and verbal autopsies to estimate mortality. We modelled prevalence of total, compensated, and decompensated cirrhosis on the basis of hospital and claims data. Disability-adjusted life-years (DALYs) were calculated as the sum of years of life lost due to premature death and years lived with disability. Estimates are presented as numbers and age-standardised or age-specific rates per 100 000 population, with 95% uncertainty intervals (UIs). All estimates are presented for five causes of cirrhosis: hepatitis B, hepatitis C, alcohol-related liver disease, non-alcoholic steatohepatitis (NASH), and other causes. We compared mortality, prevalence, and DALY estimates with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries. FINDINGS In 2017, cirrhosis caused more than 1·32 million (95% UI 1·27-1·45) deaths (440 000 [416 000-518 000; 33·3%] in females and 883 000 [838 000-967 000; 66·7%] in males) globally, compared with less than 899 000 (829 000-948 000) deaths in 1990. Deaths due to cirrhosis constituted 2·4% (2·3-2·6) of total deaths globally in 2017 compared with 1·9% (1·8-2·0) in 1990. Despite an increase in the number of deaths, the age-standardised death rate decreased from 21·0 (19·2-22·3) per 100 000 population in 1990 to 16·5 (15·8-18·1) per 100 000 population in 2017. Sub-Saharan Africa had the highest age-standardised death rate among GBD super-regions for all years of the study period (32·2 [25·8-38·6] deaths per 100 000 population in 2017), and the high-income super-region had the lowest (10·1 [9·8-10·5] deaths per 100 000 population in 2017). The age-standardised death rate decreased or remained constant from 1990 to 2017 in all GBD regions except eastern Europe and central Asia, where the age-standardised death rate increased, primarily due to increases in alcohol-related liver disease prevalence. At the national level, the age-standardised death rate of cirrhosis was lowest in Singapore in 2017 (3·7 [3·3-4·0] per 100 000 in 2017) and highest in Egypt in all years since 1990 (103·3 [64·4-133·4] per 100 000 in 2017). There were 10·6 million (10·3-10·9) prevalent cases of decompensated cirrhosis and 112 million (107-119) prevalent cases of compensated cirrhosis globally in 2017. There was a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017. Cirrhosis caused by NASH had a steady age-standardised death rate throughout the study period, whereas the other four causes showed declines in age-standardised death rate. The age-standardised prevalence of compensated and decompensated cirrhosis due to NASH increased more than for any other cause of cirrhosis (by 33·2% for compensated cirrhosis and 54·8% for decompensated cirrhosis) over the study period. From 1990 to 2017, the number of prevalent cases more than doubled for compensated cirrhosis due to NASH and more than tripled for decompensated cirrhosis due to NASH. In 2017, age-standardised death and DALY rates were lower among countries and territories with higher SDI. INTERPRETATION Cirrhosis imposes a substantial health burden on many countries and this burden has increased at the global level since 1990, partly due to population growth and ageing. Although the age-standardised death and DALY rates of cirrhosis decreased from 1990 to 2017, numbers of deaths and DALYs and the proportion of all global deaths due to cirrhosis increased. Despite the availability of effective interventions for the prevention and treatment of hepatitis B and C, they were still the main causes of cirrhosis burden worldwide, particularly in low-income countries. The impact of hepatitis B and C is expected to be attenuated and overtaken by that of NASH in the near future. Cost-effective interventions are required to continue the prevention and treatment of viral hepatitis, and to achieve early diagnosis and prevention of cirrhosis due to alcohol-related liver disease and NASH. FUNDING Bill & Melinda Gates Foundation.
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Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, Ahmed SA, Ajami M, Aji B, Akara EM, Akbarialiabad H, Akinosoglou K, Akinyemiju T, Akkaif MA, Akyirem S, Al Hamad H, Al Hasan SM, Alahdab F, Alalalmeh SO, Alalwan TA, Al-Aly Z, et alNaghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, Ahmed SA, Ajami M, Aji B, Akara EM, Akbarialiabad H, Akinosoglou K, Akinyemiju T, Akkaif MA, Akyirem S, Al Hamad H, Al Hasan SM, Alahdab F, Alalalmeh SO, Alalwan TA, Al-Aly Z, Alam K, Alam M, Alam N, Al-amer RM, Alanezi FM, Alanzi TM, Al-Azzam S, Albakri A, Albashtawy M, AlBataineh MT, Alcalde-Rabanal JE, Aldawsari KA, Aldhaleei WA, Aldridge RW, Alema HB, Alemayohu MA, Alemi S, Alemu YM, Al-Gheethi AAS, Alhabib KF, Alhalaiqa FAN, Al-Hanawi MK, Ali A, Ali A, Ali L, Ali MU, Ali R, Ali S, Ali SSS, Alicandro G, Alif SM, Alikhani R, Alimohamadi Y, Aliyi AA, Aljasir MAM, Aljunid SM, Alla F, Allebeck P, Al-Marwani S, Al-Maweri SAA, Almazan JU, Al-Mekhlafi HM, Almidani L, Almidani O, Alomari MA, Al-Omari B, Alonso J, Alqahtani JS, Alqalyoobi S, Alqutaibi AY, Al-Sabah SK, Altaany Z, Altaf A, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Alwafi H, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Andrei T, Angus C, Anil A, Anil S, Anoushiravani A, Ansari H, Ansariadi A, Ansari-Moghaddam A, Antony CM, Antriyandarti E, Anvari D, Anvari S, Anwar S, Anwar SL, Anwer R, Anyasodor AE, Aqeel M, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Aremu A, Aremu O, Ariffin H, Arkew M, Armocida B, Arndt MB, Ärnlöv J, Arooj M, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Asaad M, Asadi-Lari M, Asgedom AA, Asghariahmadabad M, Asghari-Jafarabadi M, Ashraf M, Aslani A, Astell-Burt T, Athar M, Athari SS, Atinafu BTT, Atlaw HW, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awedew AF, Aweke AM, Ayala Quintanilla BP, Ayatollahi H, Ayuso-Mateos JL, Ayyoubzadeh SM, Azadnajafabad S, Azevedo RMS, Azzam AY, B 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Kassel MB, Kauppila JH, Kaur N, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Kazmi TH, Kebebew GM, Kebede AD, Kebede F, Keflie TS, Keiyoro PN, Keller C, Kelly JT, Kempen JH, Kerr JA, Kesse-Guyot E, Khajuria H, Khalaji A, Khalid N, Khalil AA, Khalilian A, Khamesipour F, Khan A, Khan A, Khan G, Khan I, Khan IA, Khan MN, Khan M, Khan MJ, Khan MAB, Khan ZA, Khan suheb MZ, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh H, Khatatbeh MM, Khavandegar A, Khayat Kashani HR, Khidri FF, Khodadoust E, Khorgamphar M, Khormali M, Khorrami Z, Khosravi A, Khosravi MA, Kifle ZD, Kim G, Kim J, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kinzel KE, Kisa A, Kisa S, Klu D, Knudsen AKS, Kocarnik JM, Kochhar S, Kocsis T, Koh DSQ, Kolahi AA, Kolves K, Kompani F, Koren G, Kosen S, Kostev K, Koul PA, Koulmane Laxminarayana SL, Krishan K, Krishna H, Krishna V, Krishnamoorthy V, Krishnamoorthy Y, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kuddus MA, Kuddus M, Kuitunen I, Kulimbet M, Kulkarni V, Kumar A, Kumar A, Kumar H, 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Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini BP, Marateb HR, Maravilla JC, Marconi AM, Mardi P, Marino M, Marjani A, Martinez G, Martinez-Guerra BA, Martinez-Piedra R, Martini D, Martini S, Martins-Melo FR, Martorell M, Marx W, Maryam S, Marzo RR, Masaka A, Masrie A, Mathieson S, Mathioudakis AG, Mathur MR, Mattumpuram J, Matzopoulos R, Maude RJ, Maugeri A, Maulik PK, Mayeli M, Mazaheri M, Mazidi M, McGrath JJ, McKee M, McKowen ALW, McLaughlin SA, McPhail SM, Mechili EA, Medina JRC, Mediratta RP, Meena JK, Mehra R, Mehrabani-Zeinabad K, Mehrabi Nasab E, Mekene Meto T, Meles GG, Mendez-Lopez MAM, Mendoza W, Menezes RG, Mengist B, Mentis AFA, Meo SA, Meresa HA, Meretoja A, Meretoja TJ, Mersha AM, Mesfin BA, Mestrovic T, Mettananda KCD, Mettananda S, Meylakhs P, Mhlanga A, Mhlanga L, Mi T, Miazgowski T, Micha G, Michalek IM, Miller TR, Mills EJ, Minh 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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 PMCID: PMC11126520 DOI: 10.1016/s0140-6736(24)00367-2] [Show More Authors] [Citation(s) in RCA: 649] [Impact Index Per Article: 649.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 PMCID: PMC11120204 DOI: 10.1016/s0140-6736(24)00933-4] [Show More Authors] [Citation(s) in RCA: 611] [Impact Index Per Article: 611.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Holmes J, Meng Y, Meier PS, Brennan A, Angus C, Campbell-Burton A, Guo Y, Hill-McManus D, Purshouse RC. Effects of minimum unit pricing for alcohol on different income and socioeconomic groups: a modelling study. Lancet 2014; 383:1655-1664. [PMID: 24522180 PMCID: PMC4018486 DOI: 10.1016/s0140-6736(13)62417-4] [Citation(s) in RCA: 217] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Several countries are considering a minimum price policy for alcohol, but concerns exist about the potential effects on drinkers with low incomes. We aimed to assess the effect of a £0·45 minimum unit price (1 unit is 8 g/10 mL ethanol) in England across the income and socioeconomic distributions. METHODS We used the Sheffield Alcohol Policy Model (SAPM) version 2.6, a causal, deterministic, epidemiological model, to assess effects of a minimum unit price policy. SAPM accounts for alcohol purchasing and consumption preferences for population subgroups including income and socioeconomic groups. Purchasing preferences are regarded as the types and volumes of alcohol beverages, prices paid, and the balance between on-trade (eg, bars) and off-trade (eg, shops). We estimated price elasticities from 9 years of survey data and did sensitivity analyses with alternative elasticities. We assessed effects of the policy on moderate, hazardous, and harmful drinkers, split into three socioeconomic groups (living in routine or manual households, intermediate households, and managerial or professional households). We examined policy effects on alcohol consumption, spending, rates of alcohol-related health harm, and opportunity costs associated with that harm. Rates of harm and costs were estimated for a 10 year period after policy implementation. We adjusted baseline rates of mortality and morbidity to account for differential risk between socioeconomic groups. FINDINGS Overall, a minimum unit price of £0.45 led to an immediate reduction in consumption of 1.6% (-11.7 units per drinker per year) in our model. Moderate drinkers were least affected in terms of consumption (-3.8 units per drinker per year for the lowest income quintile vs 0.8 units increase for the highest income quintile) and spending (increase in spending of £0.04 vs £1.86 per year). The greatest behavioural changes occurred in harmful drinkers (change in consumption of -3.7% or -138.2 units per drinker per year, with a decrease in spending of £4.01), especially in the lowest income quintile (-7.6% or -299.8 units per drinker per year, with a decrease in spending of £34.63) compared with the highest income quintile (-1.0% or -34.3 units, with an increase in spending of £16.35). Estimated health benefits from the policy were also unequally distributed. Individuals in the lowest socioeconomic group (living in routine or manual worker households and comprising 41.7% of the sample population) would accrue 81.8% of reductions in premature deaths and 87.1% of gains in terms of quality-adjusted life-years. INTERPRETATION Irrespective of income, moderate drinkers were little affected by a minimum unit price of £0.45 in our model, with the greatest effects noted for harmful drinkers. Because harmful drinkers on low incomes purchase more alcohol at less than the minimum unit price threshold compared with other groups, they would be affected most by this policy. Large reductions in consumption in this group would however coincide with substantial health gains in terms of morbidity and mortality related to reduced alcohol consumption. FUNDING UK Medical Research Council and Economic and Social Research Council (grant G1000043).
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Meier PS, Holmes J, Angus C, Ally AK, Meng Y, Brennan A. Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study. PLoS Med 2016; 13:e1001963. [PMID: 26905063 PMCID: PMC4764336 DOI: 10.1371/journal.pmed.1001963] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 01/15/2016] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION While evidence that alcohol pricing policies reduce alcohol-related health harm is robust, and alcohol taxation increases are a WHO "best buy" intervention, there is a lack of research comparing the scale and distribution across society of health impacts arising from alternative tax and price policy options. The aim of this study is to test whether four common alcohol taxation and pricing strategies differ in their impact on health inequalities. METHODS AND FINDINGS An econometric epidemiological model was built with England 2014/2015 as the setting. Four pricing strategies implemented on top of the current tax were equalised to give the same 4.3% population-wide reduction in total alcohol-related mortality: current tax increase, a 13.4% all-product duty increase under the current UK system; a value-based tax, a 4.0% ad valorem tax based on product price; a strength-based tax, a volumetric tax of £0.22 per UK alcohol unit (= 8 g of ethanol); and minimum unit pricing, a minimum price threshold of £0.50 per unit, below which alcohol cannot be sold. Model inputs were calculated by combining data from representative household surveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attributable diseases, and published price elasticities and relative risk functions. Outcomes were annual per capita consumption, consumer spending, and alcohol-related deaths. Uncertainty was assessed via partial probabilistic sensitivity analysis (PSA) and scenario analysis. The pricing strategies differ as to how effects are distributed across the population, and, from a public health perspective, heavy drinkers in routine/manual occupations are a key group as they are at greatest risk of health harm from their drinking. Strength-based taxation and minimum unit pricing would have greater effects on mortality among drinkers in routine/manual occupations (particularly for heavy drinkers, where the estimated policy effects on mortality rates are as follows: current tax increase, -3.2%; value-based tax, -2.9%; strength-based tax, -6.1%; minimum unit pricing, -7.8%) and lesser impacts among drinkers in professional/managerial occupations (for heavy drinkers: current tax increase, -1.3%; value-based tax, -1.4%; strength-based tax, +0.2%; minimum unit pricing, +0.8%). Results from the PSA give slightly greater mean effects for both the routine/manual (current tax increase, -3.6% [95% uncertainty interval (UI) -6.1%, -0.6%]; value-based tax, -3.3% [UI -5.1%, -1.7%]; strength-based tax, -7.5% [UI -13.7%, -3.9%]; minimum unit pricing, -10.3% [UI -10.3%, -7.0%]) and professional/managerial occupation groups (current tax increase, -1.8% [UI -4.7%, +1.6%]; value-based tax, -1.9% [UI -3.6%, +0.4%]; strength-based tax, -0.8% [UI -6.9%, +4.0%]; minimum unit pricing, -0.7% [UI -5.6%, +3.6%]). Impacts of price changes on moderate drinkers were small regardless of income or socioeconomic group. Analysis of uncertainty shows that the relative effectiveness of the four policies is fairly stable, although uncertainty in the absolute scale of effects exists. Volumetric taxation and minimum unit pricing consistently outperform increasing the current tax or adding an ad valorem tax in terms of reducing mortality among the heaviest drinkers and reducing alcohol-related health inequalities (e.g., in the routine/manual occupation group, volumetric taxation reduces deaths more than increasing the current tax in 26 out of 30 probabilistic runs, minimum unit pricing reduces deaths more than volumetric tax in 21 out of 30 runs, and minimum unit pricing reduces deaths more than increasing the current tax in 30 out of 30 runs). Study limitations include reducing model complexity by not considering a largely ineffective ban on below-tax alcohol sales, special duty rates covering only small shares of the market, and the impact of tax fraud or retailer non-compliance with minimum unit prices. CONCLUSIONS Our model estimates that, compared to tax increases under the current system or introducing taxation based on product value, alcohol-content-based taxation or minimum unit pricing would lead to larger reductions in health inequalities across income groups. We also estimate that alcohol-content-based taxation and minimum unit pricing would have the largest impact on harmful drinking, with minimal effects on those drinking in moderation.
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Moe GW, Stopps TP, Angus C, Forster C, De Bold AJ, Armstrong PW. Alterations in serum sodium in relation to atrial natriuretic factor and other neuroendocrine variables in experimental pacing-induced heart failure. J Am Coll Cardiol 1989; 13:173-9. [PMID: 2521228 DOI: 10.1016/0735-1097(89)90567-6] [Citation(s) in RCA: 86] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The pathophysiologic role of atrial natriuretic factor and other neuroendocrine variables in relation to serum sodium and renal function was evaluated in 15 conscious dogs with severe chronic ventricular pacing-induced heart failure (250 beats/min for 5.1 +/- 0.4 weeks). Six sham-operated dogs observed over an 8 week period served as controls. Development of heart failure was characterized by a progressive increase in plasma norepinephrine, renin activity and aldosterone from control values of 293 +/- 15 pg/ml, 1.4 +/- 0.4 ng/ml per h and 124 +/- 42 pg/ml, respectively, to 1,066 +/- 96 pg/ml, 10.2 +/- 2.4 ng/ml per h and 577 +/- 151 pg/ml (all p less than 0.01), respectively, at severe heart failure. In contrast to other neuroendocrine variables, plasma atrial natriuretic factor increased from a control level of 243 +/- 74 pg/ml to a peak concentration of 724 +/- 149 pg/ml (p less than 0.01) at 2 weeks, then declined and plateaued at twice the level of the control value as severe heart failure developed. At severe heart failure, serum sodium decreased from 147 +/- 0.6 to 141.8 +/- 2.1 mmol/liter (p less than 0.05), whereas urea increased from 6.0 +/- 0.5 to 7.8 +/- 0.6 mmol/liter (p less than 0.05). The change in serum sodium concentration correlated with plasma renin activity and aldosterone (r = -0.77, -0.88, respectively, both p less than 0.01), but not with norepinephrine or atrial natriuretic factor. When sinus rhythm was restored, 14 dogs were observed for 48 to 72 h and 8 dogs were followed up for another 4 weeks after cessation of pacing.(ABSTRACT TRUNCATED AT 250 WORDS)
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Aburto JM, Kashyap R, Schöley J, Angus C, Ermisch J, Mills MC, Dowd JB. Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis. J Epidemiol Community Health 2021; 75:735-740. [PMID: 33468602 PMCID: PMC7818788 DOI: 10.1136/jech-2020-215505] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/08/2020] [Accepted: 12/16/2020] [Indexed: 12/03/2022]
Abstract
BACKGROUND Deaths directly linked to COVID-19 infection may be misclassified, and the pandemic may have indirectly affected other causes of death. To overcome these measurement challenges, we estimate the impact of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality from week 10 of 2020, when the first COVID-19 death was registered, to week 47 ending 20 November 2020 in England and Wales through an analysis of excess mortality. METHODS We estimated age and sex-specific excess mortality risk and deaths above a baseline adjusted for seasonality with a systematic comparison of four different models using data from the Office for National Statistics. We additionally provide estimates of life expectancy at birth and lifespan inequality defined as the SD in age at death. RESULTS There have been 57 419 (95% prediction interval: 54 197, 60 752) excess deaths in the first 47 weeks of 2020, 55% of which occurred in men. Excess deaths increased sharply with age and men experienced elevated risks of death in all age groups. Life expectancy at birth dropped 0.9 and 1.2 years for women and men relative to the 2019 levels, respectively. Lifespan inequality also fell over the same period by 5 months for both sexes. CONCLUSION Quantifying excess deaths and their impact on life expectancy at birth provide a more comprehensive picture of the burden of COVID-19 on mortality. Whether mortality will return to-or even fall below-the baseline level remains to be seen as the pandemic continues to unfold and diverse interventions are put in place.
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Boyd J, Sexton O, Angus C, Meier P, Purshouse RC, Holmes J. Causal mechanisms proposed for the alcohol harm paradox-a systematic review. Addiction 2022; 117:33-56. [PMID: 33999487 PMCID: PMC8595457 DOI: 10.1111/add.15567] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/17/2020] [Accepted: 04/28/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND AIMS The alcohol harm paradox (AHP) posits that disadvantaged groups suffer from higher rates of alcohol-related harm compared with advantaged groups, despite reporting similar or lower levels of consumption on average. The causes of this relationship remain unclear. This study aimed to identify explanations proposed for the AHP. Secondary aims were to review the existing evidence for those explanations and investigate whether authors linked explanations to one another. METHODS This was a systematic review. We searched MEDLINE (1946-January 2021), EMBASE (1974-January 2021) and PsycINFO (1967-January 2021), supplemented with manual searching of grey literature. Included papers either explored the causes of the AHP or investigated the relationship between alcohol consumption, alcohol-related harm and socio-economic position. Papers were set in Organization for Economic Cooperation and Development high-income countries. Explanations extracted for analysis could be evidenced in the empirical results or suggested by researchers in their narrative. Inductive thematic analysis was applied to group explanations. RESULTS Seventy-nine papers met the inclusion criteria and initial coding revealed that these papers contained 41 distinct explanations for the AHP. Following inductive thematic analysis, these explanations were grouped into 16 themes within six broad domains: individual, life-style, contextual, disadvantage, upstream and artefactual. Explanations related to risk behaviours, which fitted within the life-style domain, were the most frequently proposed (n = 51) and analysed (n = 21). CONCLUSIONS While there are many potential explanations for the alcohol harm paradox, most research focuses on risk behaviours while other explanations lack empirical testing.
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Sherk A, Stockwell T, Chikritzhs T, Andréasson S, Angus C, Gripenberg J, Holder H, Holmes J, Mäkelä P, Mills M, Norström T, Ramstedt M, Woods J. Alcohol Consumption and the Physical Availability of Take-Away Alcohol: Systematic Reviews and Meta-Analyses of the Days and Hours of Sale and Outlet Density. J Stud Alcohol Drugs 2018. [DOI: 10.15288/jsad.2018.79.58] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Beard E, Brown J, West R, Angus C, Brennan A, Holmes J, Kaner E, Meier P, Michie S. Deconstructing the Alcohol Harm Paradox: A Population Based Survey of Adults in England. PLoS One 2016; 11:e0160666. [PMID: 27682619 PMCID: PMC5040414 DOI: 10.1371/journal.pone.0160666] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 07/23/2016] [Indexed: 11/18/2022] Open
Abstract
Background The Alcohol Harm Paradox refers to observations that lower socioeconomic status (SES) groups consume less alcohol but experience more alcohol-related problems. However, SES is a complex concept and its observed relationship to social problems often depends on how it is measured and the demographic groups studied. Thus this study assessed socioeconomic patterning of alcohol consumption and related harm using multiple measures of SES and examined moderation of this patterning by gender and age. Method Data were used from the Alcohol Toolkit Study between March and September 2015 on 31,878 adults (16+) living in England. Participants completed the AUDIT which includes alcohol consumption, harm and dependence modules. SES was measured via qualifications, employment, home and car ownership, income and social-grade, plus a composite of these measures. The composite score was coded such that higher scores reflected greater social-disadvantage. Results We observed the Alcohol Harm Paradox for the composite SES measure, with a linear negative relationship between SES and AUDIT-Consumption scores (β = -0.036, p<0.001) and a positive relationship between lower SES and AUDIT-Harm (β = 0.022, p<0.001) and AUDIT-Dependence (β = 0.024, p<0.001) scores. Individual measures of SES displayed different, and non-linear, relationships with AUDIT modules. For example, social-grade and income had a u-shaped relationship with AUDIT-Consumption scores while education had an inverse u-shaped relationship. Almost all measures displayed an exponential relationship with AUDIT-Dependence and AUDIT-Harm scores. We identified moderating effects from age and gender, with AUDIT-Dependence scores increasing more steeply with lower SES in men and both AUDIT-Harm and AUDIT-Dependence scores increasing more steeply with lower SES in younger age groups. Conclusion Different SES measures appear to influence whether the Alcohol Harm Paradox is observed as a linear trend across SES groups or a phenomenon associated particularly with the most disadvantaged. The paradox also appears more concentrated in men and younger age groups.
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Angus C, Latimer N, Preston L, Li J, Purshouse R. What are the Implications for Policy Makers? A Systematic Review of the Cost-Effectiveness of Screening and Brief Interventions for Alcohol Misuse in Primary Care. Front Psychiatry 2014; 5:114. [PMID: 25225487 PMCID: PMC4150206 DOI: 10.3389/fpsyt.2014.00114] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 08/12/2014] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION The efficacy of screening and brief interventions (SBIs) for excessive alcohol use in primary care is well established; however, evidence on their cost-effectiveness is limited. A small number of previous reviews have concluded that SBI programs are likely to be cost-effective but these results are equivocal and important questions around the cost-effectiveness implications of key policy decisions such as staffing choices for delivery of SBIs and the intervention duration remain unanswered. METHODS Studies reporting both the costs and a measure of health outcomes of programs combining SBIs in primary care were identified by searching MEDLINE, EMBASE, Econlit, the Cochrane Library Database (including NHS EED), CINAHL, PsycINFO, Assia and the Social Science Citation Index, and Science Citation Index via Web of Knowledge. Included studies have been stratified both by delivery staff and intervention duration and assessed for quality using the Drummond checklist for economic evaluations. RESULTS The search yielded a total of 23 papers reporting the results of 22 distinct studies. There was significant heterogeneity in methods and outcome measures between studies; however, almost all studies reported SBI programs to be cost-effective. There was no clear evidence that either the duration of the intervention or the delivery staff used had a substantial impact on this result. CONCLUSION This review provides strong evidence that SBI programs in primary care are a cost-effective option for tackling alcohol misuse.
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Jackson SE, Beard E, Angus C, Field M, Brown J. Moderators of changes in smoking, drinking and quitting behaviour associated with the first COVID-19 lockdown in England. Addiction 2022; 117:772-783. [PMID: 34431577 PMCID: PMC8652848 DOI: 10.1111/add.15656] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 07/21/2021] [Indexed: 12/01/2022]
Abstract
AIM To estimate changes in smoking, drinking and quitting behaviour from before to during the first COVID-19 lockdown in England, and whether changes differed by age, sex or social grade. DESIGN Representative cross-sectional surveys of adults, collected monthly between August 2018 and July 2020. SETTING England. PARTICIPANTS A total of 36 980 adults (≥ 18 years). MEASUREMENTS Independent variables were survey month (pre-lockdown: August-February versus lockdown months: April-July) and year (pandemic: 2019/20 versus comparator: 2018/19). Smoking outcomes were smoking prevalence, cessation, quit attempts, quit success and use of evidence-based or remote cessation support. Drinking outcomes were high-risk drinking prevalence, alcohol reduction attempts and use of evidence-based or remote support. Moderators were age, sex and occupational social grade (ABC1 = more advantaged/C2DE = less advantaged). FINDINGS Relative to changes during the same time period in 2018/19, lockdown was associated with significant increases in smoking prevalence [+24.7% in 2019/20 versus 0.0% in 2018/19, adjusted odds ratio (aOR) = 1.35, 95% confidence interval (CI) = 1.12-1.63] and quit attempts (+39.9 versus -22.2%, aOR = 2.48, 95% CI = 1.76-3.50) among 18-34-year-olds, but not older groups. Increases in cessation (+156.4 versus -12.5%, aOR = 3.08, 95% CI = 1.86-5.09) and the success rate of quit attempts (+99.2 versus +0.8%, aOR = 2.29, 95% CI = 1.31-3.98) were also observed, and did not differ significantly by age, sex or social grade. Lockdown was associated with a significant increase in high-risk drinking prevalence among all socio-demographic groups (+39.5 versus -7.8%, aOR = 1.80, 95% CI = 1.64-1.98), with particularly high increases among women (aOR = 2.17, 95% CI = 1.87-2.53) and social grades C2DE (aOR = 2.34, 95% CI = 2.00-2.74). Alcohol reduction attempts increased significantly among high-risk drinkers from social grades ABC1 (aOR = 2.31, 95% CI = 1.78-3.00) but not C2DE (aOR = 1.25, 95% CI = 0.83-1.88). There were few significant changes in use of support for smoking cessation or alcohol reduction, although samples were small. CONCLUSIONS In England, the first COVID-19 lockdown was associated with increased smoking prevalence among younger adults and increased high-risk drinking prevalence among all adults. Smoking cessation activity also increased: more younger smokers made quit attempts during lockdown and more smokers quit successfully. Socio-economic disparities in drinking behaviour were evident: high-risk drinking increased by more among women and those from less advantaged social grades (C2DE), but the rate of reduction attempts increased only among the more advantaged social grades (ABC1).
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de Vocht F, Heron J, Angus C, Brennan A, Mooney J, Lock K, Campbell R, Hickman M. Measurable effects of local alcohol licensing policies on population health in England. J Epidemiol Community Health 2015; 70:231-7. [PMID: 26555369 PMCID: PMC4789824 DOI: 10.1136/jech-2015-206040] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Accepted: 09/14/2015] [Indexed: 11/11/2022]
Abstract
Background English alcohol policy is implemented at local government level, leading to variations in how it is put into practice. We evaluated whether differences in the presence or absence of cumulative impact zones and the ‘intensity’ of licensing enforcement—both aimed at regulating the availability of alcohol and modifying the drinking environment—were associated with harm as measured by alcohol-related hospital admissions. Methods Premises licensing data were obtained at lower tier local authority (LTLA) level from the Home Office Alcohol and Late Night Refreshment Licensing data for 2007–2012, and LTLAs were coded as ‘passive’, low, medium or highly active based on whether they made use of cumulative impact areas and/or whether any licences for new premises were declined. These data were linked to 2009–2015 alcohol-related hospital admission and alcohol-related crime rates obtained from the Local Alcohol Profiles for England. Population size and deprivation data were obtained from the Office of National Statistics. Changes in directly age-standardised rates of people admitted to hospital with alcohol-related conditions were analysed using hierarchical growth modelling. Results Stronger reductions in alcohol-related admission rates were observed in areas with more intense alcohol licensing policies, indicating an ‘exposure–response’ association, in the 2007–2015 period. Local areas with the most intensive licensing policies had an additional 5% reduction (p=0.006) in 2015 compared with what would have been expected had these local areas had no active licensing policy in place. Conclusions Local licensing policies appear to be associated with a reduction in alcohol-related hospital admissions in areas with more intense licensing policies.
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de Vocht F, Tilling K, Pliakas T, Angus C, Egan M, Brennan A, Campbell R, Hickman M. The intervention effect of local alcohol licensing policies on hospital admission and crime: a natural experiment using a novel Bayesian synthetictime-series method. J Epidemiol Community Health 2017; 71:912-918. [PMID: 28679538 PMCID: PMC5561361 DOI: 10.1136/jech-2017-208931] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 04/06/2017] [Accepted: 05/17/2017] [Indexed: 11/08/2022]
Abstract
Background Control of alcohol licensing at local government level is a key component of alcohol policy in England. There is, however, only weak evidence of any public health improvement. We used a novel natural experiment design to estimate the impact of new local alcohol licensing policies on hospital admissions and crime. Methods We used Home Office licensing data (2007–2012) to identify (1) interventions: local areas where both a cumulative impact zone and increased licensing enforcement were introduced in 2011; and (2) controls: local areas with neither. Outcomes were 2009–2015 alcohol-related hospital admissions, violent and sexual crimes, and antisocial behaviour. Bayesian structural time series were used to create postintervention synthetic time series (counterfactuals) based on weighted time series in control areas. Intervention effects were calculated from differences between measured and expected trends. Validation analyses were conducted using randomly selected controls. Results 5 intervention and 86 control areas were identified. Intervention was associated with an average reduction in alcohol-related hospital admissions of 6.3% (95% credible intervals (CI) −12.8% to 0.2%) and to lesser extent with a reduced in violent crimes, especially up to 2013 (–4.6%, 95% CI −10.7% to 1.4%). There was weak evidence of an effect on sexual crimes up 2013 (–8.4%, 95% CI −21.4% to 4.6%) and insufficient evidence of an effect on antisocial behaviour as a result of a change in reporting. Conclusion Moderate reductions in alcohol-related hospital admissions and violent and sexual crimes were associated with introduction of local alcohol licensing policies. This novel methodology holds promise for use in other natural experiments in public health.
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Research Support, Non-U.S. Gov't |
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Meng Y, Brennan A, Purshouse R, Hill-McManus D, Angus C, Holmes J, Meier PS. Estimation of own and cross price elasticities of alcohol demand in the UK--A pseudo-panel approach using the Living Costs and Food Survey 2001-2009. JOURNAL OF HEALTH ECONOMICS 2014; 34:96-103. [PMID: 24508846 PMCID: PMC3991422 DOI: 10.1016/j.jhealeco.2013.12.006] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Revised: 12/09/2013] [Accepted: 12/24/2013] [Indexed: 06/01/2023]
Abstract
The estimation of price elasticities of alcohol demand is valuable for the appraisal of price-based policy interventions such as minimum unit pricing and taxation. This study applies a pseudo-panel approach to the cross-sectional Living Cost and Food Survey 2001/2-2009 to estimate the own- and cross-price elasticities of off- and on-trade beer, cider, wine, spirits and ready-to-drinks in the UK. A pseudo-panel with 72 subgroups defined by birth year, gender and socioeconomic status is constructed. Estimated own-price elasticities from the base case fixed effect models are all negative and mostly statically significant (p<0.05). Off-trade cider and beer are most elastic (-1.27 and -0.98) and off-trade spirits and on-trade ready-to-drinks are least elastic (-0.08 and -0.19). Estimated cross-price elasticities are smaller in magnitude with a mix of positive and negative signs. The results appear plausible and robust and could be used for appraising the estimated impact of price-based interventions in the UK.
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Moe GW, Angus C, Howard RJ, De Bold AJ, Armstrong PW. Pathophysiological role of changing atrial size and pressure in modulation of atrial natriuretic factor during evolving experimental heart failure. Cardiovasc Res 1990; 24:570-7. [PMID: 2145070 DOI: 10.1093/cvr/24.7.570] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
STUDY OBJECTIVE The aim was to study the interactions between pulmonary capillary wedge pressure (an estimate of left atrial pressure), left atrial dimension, and atrial natriuretic factor during evolving heart failure. DESIGN Sequential simultaneous measurements of haemodynamic variables, left atrial dimension, and plasma atrial natriuretic factor concentrations were obtained during evolving experimental pacing induced heart failure. EXPERIMENTAL MATERIAL Eight male mongrel dogs were paced (250 beats.min-1) to severe heart failure over 4.9(SD 1.8) weeks. MEASUREMENTS AND RESULTS The development of heart failure was characterised by a progressive increase in pulmonary capillary wedge pressure and left atrial cross sectional area, from 5.6(1.3) mm Hg and 7.9(1.2) cm2 respectively at control, to 25.3(4.9) mm Hg and 14.2(2.5) cm2 respectively (both p less than 0.01) at severe heart failure. In contrast to the progressive increase in pulmonary capillary wedge pressure and left atrial area, plasma atrial natriuretic factor concentration increased from 98(51) ng.litre-1 at control to a peak of 422(110) ng.litre-1 (p less than 0.01) at 1 week, then plateaued and reached 354(108) ng.litre-1 at severe heart failure (p less than 0.05 v control). Plasma atrial natriuretic factor correlated with pulmonary capillary wedge pressure and left atrial area at 1 week (r = 0.73, r = 0.71 respectively, both p less than 0.01), but not at the time of severe heart failure. CONCLUSION The divergent time course of the changes in plasma atrial natriuretic factor concentration, pulmonary capillary wedge pressure, and left atrial dimension suggests that in this model, the release of atrial natriuretic factor becomes attenuated as severe heart failure develops.
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Moe GW, Angus C, Howard RJ, Parker TG, Armstrong PW. Evaluation of indices of left ventricular contractility and relaxation in evolving canine experimental heart failure. Cardiovasc Res 1992; 26:362-6. [PMID: 1638568 DOI: 10.1093/cvr/26.4.362] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE The aim was to evaluate changes in indices of left ventricular contractility and relaxation in relation to changes in loading conditions in dogs with rapid pacing induced heart failure. METHODS 14 conscious male mongrel dogs were paced at 250 beats.min-1 to severe heart failure, which occurred at 4.2(SD1.9) weeks. Six sham operated dogs served as controls. Right sided pressures were obtained by a thermodilution catheter. Left ventricular pressure and its derived variables were obtained by a high fidelity manometer tipped catheter. Rate corrected velocity of circumferential fibre shortening--end systolic wall stress relations were obtained by simultaneous haemodynamic and echocardiographic studies. RESULTS In the paced dogs, baseline right atrial pressure, 6.4(2.0) mm Hg, and pulmonary capillary wedge pressure, 7.1(2.5) mm Hg, increased to 13.3(3.1) mm Hg and 34.5(7.1) mm Hg respectively at severe heart failure (both p less than 0.0001). The peak first derivative of left ventricular pressure dP/dt decreased from 1515(274) mm Hg.s-1 at baseline to 975(321) mm Hg.s-1 at severe heart failure (p less than 0.05) while baseline left ventricular end diastolic pressure, 4.4(3.7) mm Hg, and relaxation time constant tau, 18.0(4.5) ms, increased to 37.2(6.6) mm Hg (p less than 0.01) and 51.9(21.4) ms (p less than 0.05) respectively. The shortening-wall stress relation was markedly displaced downward from baseline. Furthermore, weekly studies revealed a major downward displacement of this relation by one week of pacing with no significant further shift at severe heart failure, whereas both end diastolic diameter (preload) and end systolic wall stress (afterload) increased significantly further from one week. In the sham operated dogs, there was no change over time in any of these study variables. CONCLUSIONS In pacing induced heart failure, there is impairment of left ventricular contractility and relaxation. The major downward shift of the shortening-wall stress relation at one week suggests that left ventricular contractility is impaired early and may be the initiating mechanism of heart failure in this model.
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Brennan A, Meier P, Purshouse R, Rafia R, Meng Y, Hill-Macmanus D, Angus C, Holmes J. The Sheffield Alcohol Policy Model - A Mathematical Description. HEALTH ECONOMICS 2015; 24:1368-1388. [PMID: 25270223 DOI: 10.1002/hec.3105] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 05/31/2014] [Accepted: 08/10/2014] [Indexed: 06/03/2023]
Abstract
This methodology paper sets out a mathematical description of the Sheffield Alcohol Policy Model version 2.0, a model to evaluate public health strategies for alcohol harm reduction in the UK. Policies that can be appraised include a minimum price per unit of alcohol, restrictions on price discounting, and broader public health measures. The model estimates the impact on consumers, health services, crime, employers, retailers and government tax revenues. The synthesis of public and commercial data sources to inform the model structure is described. A detailed algebraic description of the model is provided. This involves quantifying baseline levels of alcohol purchasing and consumption by age and gender subgroups, estimating the impact of policies on consumption, for example, using evidence on price elasticities of demand for alcohol, quantification of risk functions relating alcohol consumption to harms including 47 health conditions, crimes, absenteeism and unemployment, and finally monetary valuation of the consequences. The results framework, shown for a minimum price per unit of alcohol, has been used to provide policy appraisals for the UK government policy-makers. In discussion and online appendix, we explore issues around valuation and scope, limitations of evidence/data, how the framework can be adapted to other countries and decisions, and ongoing plans for further development. © 2014 The Authors. Health Economics published by John Wiley & Sons Ltd.
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Moe GW, Grima EA, Angus C, Wong NL, Hu DC, Howard RJ, Armstrong PW. Response of atrial natriuretic factor to acute and chronic increases of atrial pressures in experimental heart failure in dogs. Role of changes in heart rate, atrial dimension, and cardiac tissue concentration. Circulation 1991; 83:1780-7. [PMID: 1827057 DOI: 10.1161/01.cir.83.5.1780] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND This study evaluated the role of changes in heart rate, atrial pressure, volume, and cardiac tissue atrial natriuretic factor (ANF) concentration in the modulation of plasma ANF concentration in a model of pacing-induced heart failure. METHODS AND RESULTS The effects of acute right ventricular pacing (250 beats/min), acute volume expansion (35 ml/min), and volume expansion after 1 week of right ventricular pacing on plasma ANF concentration were compared in eight dogs (group 1). As shown during right ventricular pacing previously, volume expansion produced significant increases in cardiac filling pressures and left atrial volume. Right ventricular pacing and volume expansion produced similar increments in plasma ANF concentration: from 32 +/- 12 to 168 +/- 153 pg/ml (p less than 0.05) and from 32 +/- 9 to 137 +/- 113 pg/ml (p less than 0.05), respectively. When pacing was initiated after volume expansion, plasma ANF concentration increased further to 462 +/- 295 pg/ml (p less than 0.05) despite little change in filling pressures and left atrial volume. With repeated volume expansion after 1 week of pacing, there were no significant further increases in left atrial volume and plasma ANF concentrations (from 332 +/- 121 to 407 +/- 113 pg/ml) despite significant increases in filling pressures. Atrial and ventricular tissue samples were also obtained from 21 dogs paced to severe heart failure (group 2) and from 14 normal dogs (controls). In all groups, atrial ANF was higher than ventricular ANF concentration. At 1 week (group 1), left atrial appendage ANF concentration (6.2 +/- 2.5 versus 16.1 +/- 10.3 ng/mg) was reduced, whereas left ventricular free wall ANF concentration (0.62 +/- 0.31 versus 0.24 +/- 0.16 pg/mg) was increased compared with that of controls (both p less than 0.001). At severe heart failure (group 2), atrial ANF remained low, whereas ventricular ANF concentration was similar to that of the controls. CONCLUSIONS These data indicate that in pacing-induced heart failure, changes in heart rate, atrial pressure, and volume all contribute to the increased plasma ANF concentration. However, by 1 week (early heart failure), ANF release is attenuated, perhaps because of the inability of the atria to be stretched further and because of reduced atrial ANF concentration. In addition, the ventricle may be an additional source of ANF.
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Comparative Study |
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Bhattacharya A, Angus C, Pryce R, Holmes J, Brennan A, Meier PS. How dependent is the alcohol industry on heavy drinking in England? Addiction 2018; 113:2225-2232. [PMID: 30136436 DOI: 10.1111/add.14386] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 06/13/2018] [Accepted: 07/04/2018] [Indexed: 12/13/2022]
Abstract
AIMS To understand the extent of the alcohol industry's financial dependence on drinking above government low-risk guidelines in England. DESIGN Scenario modelling using descriptive analyses of pooled data from the 2013 and 2014 waves of two nationally representative surveys: the Health Survey for England (HSE) and the Living Costs and Food Survey (LCF). We estimated the proportion of alcohol sales revenue accounted for by drinkers above guideline levels, and how this varies between different beverage and retailer types. We then estimated the impact on sales revenue if the entire population reduced their drinking to within guideline levels, as well as the average price increases necessary to compensate for such a loss of revenue. SETTING England. PARTICIPANTS A total of 16 872 individual (HSE) and 9975 household (LCF) survey respondents. MEASUREMENTS Transaction-level estimates of volume of alcohol purchased and price paid by beverage type and trade sector. FINDINGS Those drinking above guideline levels are estimated to account for 68% of total alcohol sales revenue in 2013/14: 81% of off-trade revenue and 60% of on-trade revenue. This represents 77% of beer, 70% of cider, 66% of wine and 50% of spirits sales value. The heaviest drinking 4% of the population account for 30% of all consumption and 23% of all industry revenue. If all consumers reduced their drinking to within guideline levels, alcohol sales revenue could decline by 38% (£13 billion). To mitigate this loss, average prices paid would have to rise substantially-for example, by £2.64 for a pint of on-trade beer or £12.25 for a 70 cl bottle of off-trade spirits. CONCLUSIONS In England, the alcohol industry appears to be highly financially dependent upon heavy drinking, and might face significant financial losses were consumers to drink within guideline levels.
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De Vocht F, Heron J, Campbell R, Egan M, Mooney JD, Angus C, Brennan A, Hickman M. Testing the impact of local alcohol licencing policies on reported crime rates in England. J Epidemiol Community Health 2016; 71:137-145. [PMID: 27514936 PMCID: PMC5284476 DOI: 10.1136/jech-2016-207753] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 06/24/2016] [Accepted: 07/01/2016] [Indexed: 12/22/2022]
Abstract
Background Excessive alcohol use contributes to public nuisance, antisocial behaviour, and domestic, interpersonal and sexual violence. We test whether licencing policies aimed at restricting its spatial and/or temporal availability, including cumulative impact zones, are associated with reductions in alcohol-related crime. Methods Reported crimes at English lower tier local authority (LTLA) level were used to calculate the rates of reported crimes including alcohol-attributable rates of sexual offences and violence against a person, and public order offences. Financial fraud was included as a control crime not directly associated with alcohol abuse. Each area was classified as to its cumulative licensing policy intensity for 2009–2015 and categorised as ‘passive’, low, medium or high. Crime rates adjusted for area deprivation, outlet density, alcohol-related hospital admissions and population size at baseline were analysed using hierarchical (log-rate) growth modelling. Results 284 of 326 LTLAs could be linked and had complete data. From 2009 to 2013 alcohol-related violent and sexual crimes and public order offences rates declined faster in areas with more ‘intense’ policies (about 1.2, 0.10 and 1.7 per 1000 people compared with 0.6, 0.01 and 1.0 per 1000 people in ‘passive’ areas, respectively). Post-2013, the recorded rates increased again. No trends were observed for financial fraud. Conclusions Local areas in England with more intense alcohol licensing policies had a stronger decline in rates of violent crimes, sexual crimes and public order offences in the period up to 2013 of the order of 4–6% greater compared with areas where these policies were not in place, but not thereafter.
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Research Support, Non-U.S. Gov't |
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Ally AK, Meng Y, Chakraborty R, Dobson PW, Seaton JS, Holmes J, Angus C, Guo Y, Hill-McManus D, Brennan A, Meier PS. Alcohol tax pass-through across the product and price range: do retailers treat cheap alcohol differently? Addiction 2014; 109:1994-2002. [PMID: 24957220 DOI: 10.1111/add.12590] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Revised: 01/09/2014] [Accepted: 04/09/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Effective use of alcohol duty to reduce consumption and harm depends partly on retailers passing duty increases on to consumers via price increases, also known as 'pass-through'. The aim of this analysis is to provide evidence of UK excise duty and sales tax (VAT) pass-through rates for alcohol products at different price points. SETTING March 2008 to August 2011, United Kingdom. DESIGN AND MEASUREMENTS Panel data quantile regression estimating the effects of three duty changes, two VAT changes and one combined duty and VAT change on UK alcohol prices, using product-level supermarket price data for 254 alcohol products available weekly. Products were analysed in four categories: beers, ciders/ready to drink (RTDs), spirits and wines. FINDINGS Within all four categories there exists considerable heterogeneity in the level of duty pass-through for cheaper versus expensive products. Price increases for the cheapest 15% of products fall below duty rises (undershifting), while products sold above the median price are overshifted (price increases are higher than duty increases). The level of undershifting is greatest for beer [0.85 (0.79, 0.92)] and spirits [0.86 (0.83, 0.89)]. Undershifting affects approximately 67% of total beer sales and 38% of total spirits sales. CONCLUSIONS Alcohol retailers in the United Kingdom appear to respond to increases in alcohol tax by undershifting their cheaper products (raising prices below the level of the tax increase) and overshifting their more expensive products (raising prices beyond the level of the tax increase). This is likely to impact negatively on tax policy effectiveness, because high-risk groups favour cheaper alcohol and undershifting is likely to produce smaller consumption reductions.
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Angus C, Holmes J, Meier PS. Comparing alcohol taxation throughout the European Union. Addiction 2019; 114:1489-1494. [PMID: 31148313 PMCID: PMC6771486 DOI: 10.1111/add.14631] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 02/20/2019] [Accepted: 03/28/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND AIMS The World Health Organization recommends increasing alcohol taxes as a 'best-buy' approach to reducing alcohol consumption and improving population health. Alcohol may be taxed based on sales value, product volume or alcohol content; however, duty structures and rates vary, both among countries and between beverage types. From a public health perspective, the best duty structure links taxation level to alcohol content, keeps pace with inflation and avoids substantial disparities between different beverage types. This data note compares current alcohol duty structures and levels throughout the 28 European Union (EU) Member States and how these vary by alcohol content, and also considers implications for public health. DESIGN AND SETTING Descriptive analysis using administrative data, European Union, July 2018. MEASUREMENTS Beverage-specific alcohol duty rates per UK alcohol unit (8 g ethanol) in pounds sterling at a range of different alcoholic strengths. FINDINGS Only 50% of Member States levy any duty on wine and several levy duty on spirits and beer at or close to the EU minimum level. There is at least a 10-fold difference in the effective duty rate per unit between the highest- and lowest-duty countries for each beverage type. Duty rates for beer and spirits stay constant with strength in the majority of countries, while rates for wine and cider generally fall as strength increases. Duty rates are generally higher for spirits than other beverage types and are generally lowest in eastern Europe and highest in Finland, Sweden, Ireland and the United Kingdom. CONCLUSIONS Different European Union countries enact very different alcohol taxation policies, despite a partially restrictive legal framework. There is only limited evidence that alcohol duties are designed to minimize public health harms by ensuring that drinks containing more alcohol are taxed at higher rates. Instead, tax rates appear to reflect national alcohol production and consumption patterns.
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