Sökning: WFRF:(Maled V.) > The burden of unint...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 07326naa a2201873 4500 | |
001 | oai:prod.swepub.kib.ki.se:144870599 | |
003 | SwePub | |
008 | 240701s2020 | |||||||||||000 ||eng| | |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1448705992 URI |
024 | 7 | a https://doi.org/10.1136/injuryprev-2019-0434842 DOI |
040 | a (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Franklin, RC4 aut |
245 | 1 0 | a The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study |
264 | c 2020-02-20 | |
264 | 1 | b BMJ,c 2020 |
520 | a Drowning is a leading cause of injury-related mortality globally. Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65-74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury-related mortality in the Global Burden of Disease (GBD) study. This study’s objective is to describe unintentional drowning using GBD estimates from 1990 to 2017.MethodsUnintentional drowning from GBD 2017 was estimated for cause-specific mortality and years of life lost (YLLs), age, sex, country, region, Socio-demographic Index (SDI) quintile, and trends from 1990 to 2017. GBD 2017 used standard GBD methods for estimating mortality from drowning.ResultsGlobally, unintentional drowning mortality decreased by 44.5% between 1990 and 2017, from 531 956 (uncertainty interval (UI): 484 107 to 572 854) to 295 210 (284 493 to 306 187) deaths. Global age-standardised mortality rates decreased 57.4%, from 9.3 (8.5 to 10.0) in 1990 to 4.0 (3.8 to 4.1) per 100 000 per annum in 2017. Unintentional drowning-associated mortality was generally higher in children, males and in low-SDI to middle-SDI countries. China, India, Pakistan and Bangladesh accounted for 51.2% of all drowning deaths in 2017. Oceania was the region with the highest rate of age-standardised YLLs in 2017, with 45 434 (40 850 to 50 539) YLLs per 100 000 across both sexes.ConclusionsThere has been a decline in global drowning rates. This study shows that the decline was not consistent across countries. The results reinforce the need for continued and improved policy, prevention and research efforts, with a focus on low- and middle-income countries. | |
700 | 1 | a Peden, AE4 aut |
700 | 1 | a Hamilton, EB4 aut |
700 | 1 | a Bisignano, C4 aut |
700 | 1 | a Castle, CD4 aut |
700 | 1 | a Dingels, ZV4 aut |
700 | 1 | a Hay, SI4 aut |
700 | 1 | a Liu, ZC4 aut |
700 | 1 | a Mokdad, AH4 aut |
700 | 1 | a Roberts, NLS4 aut |
700 | 1 | a Sylte, DO4 aut |
700 | 1 | a Vos, T4 aut |
700 | 1 | a Abady, GG4 aut |
700 | 1 | a Abosetugn, AE4 aut |
700 | 1 | a Ahmed, R4 aut |
700 | 1 | a Alahdab, F4 aut |
700 | 1 | a Andrei, CL4 aut |
700 | 1 | a Antonio, CAT4 aut |
700 | 1 | a Arabloo, J4 aut |
700 | 1 | a Arba, AAK4 aut |
700 | 1 | a Badiye, AD4 aut |
700 | 1 | a Bakkannavar, SM4 aut |
700 | 1 | a Banach, M4 aut |
700 | 1 | a Banik, PC4 aut |
700 | 1 | a Banstola, A4 aut |
700 | 1 | a Barker-Collo, SL4 aut |
700 | 1 | a Barzegar, A4 aut |
700 | 1 | a Bayati, M4 aut |
700 | 1 | a Bhardwaj, P4 aut |
700 | 1 | a Bhaumik, S4 aut |
700 | 1 | a Bhutta, ZA4 aut |
700 | 1 | a Bijani, A4 aut |
700 | 1 | a Boloor, A4 aut |
700 | 1 | a Carvalho, F4 aut |
700 | 1 | a Chowdhury, MAK4 aut |
700 | 1 | a Chu, DT4 aut |
700 | 1 | a Colquhoun, SM4 aut |
700 | 1 | a Dagne, H4 aut |
700 | 1 | a Dagnew, B4 aut |
700 | 1 | a Dandona, L4 aut |
700 | 1 | a Dandona, R4 aut |
700 | 1 | a Daryani, A4 aut |
700 | 1 | a Dharmaratne, SD4 aut |
700 | 1 | a Forooshani, ZSD4 aut |
700 | 1 | a Do, HT4 aut |
700 | 1 | a Driscoll, TR4 aut |
700 | 1 | a Eagan, AW4 aut |
700 | 1 | a El-Khatib, Zu Karolinska Institutet4 aut |
700 | 1 | a Fernandes, E4 aut |
700 | 1 | a Filip, I4 aut |
700 | 1 | a Fischer, F4 aut |
700 | 1 | a Gebremichael, B4 aut |
700 | 1 | a Gupta, G4 aut |
700 | 1 | a Haagsma, JA4 aut |
700 | 1 | a Hassan, S4 aut |
700 | 1 | a Hendrie, D4 aut |
700 | 1 | a Hoang, CL4 aut |
700 | 1 | a Hole, MK4 aut |
700 | 1 | a Holla, R4 aut |
700 | 1 | a Hostiuc, S4 aut |
700 | 1 | a Househ, M4 aut |
700 | 1 | a Ilesanmi, OS4 aut |
700 | 1 | a Inbaraj, LR4 aut |
700 | 1 | a Irvani, SSN4 aut |
700 | 1 | a Islam, MM4 aut |
700 | 1 | a Ivers, RQ4 aut |
700 | 1 | a Jayatilleke, AU4 aut |
700 | 1 | a Joukar, F4 aut |
700 | 1 | a Kalhor, R4 aut |
700 | 1 | a Kanchan, T4 aut |
700 | 1 | a Kapoor, N4 aut |
700 | 1 | a Kasaeian, A4 aut |
700 | 1 | a Khan, M4 aut |
700 | 1 | a Khan, EA4 aut |
700 | 1 | a Khubchandani, J4 aut |
700 | 1 | a Krishan, K4 aut |
700 | 1 | a Kumar, GA4 aut |
700 | 1 | a Lauriola, P4 aut |
700 | 1 | a Lopez, AD4 aut |
700 | 1 | a Madadin, M4 aut |
700 | 1 | a Majdan, M4 aut |
700 | 1 | a Maled, V4 aut |
700 | 1 | a Manafi, N4 aut |
700 | 1 | a Manafi, A4 aut |
700 | 1 | a McKee, M4 aut |
700 | 1 | a Meles, HG4 aut |
700 | 1 | a Menezes, RG4 aut |
700 | 1 | a Meretoja, TJ4 aut |
700 | 1 | a Miller, TR4 aut |
700 | 1 | a Mithra, P4 aut |
700 | 1 | a Mohammadian-Hafshejani, A4 aut |
700 | 1 | a Mohammadpourhodki, R4 aut |
700 | 1 | a Mohebi, F4 aut |
700 | 1 | a Molokhia, M4 aut |
700 | 1 | a Mustafa, G4 aut |
700 | 1 | a Negoi, I4 aut |
700 | 1 | a Nguyen, CT4 aut |
700 | 1 | a Nguyen, HLT4 aut |
700 | 1 | a Olagunju, AT4 aut |
700 | 1 | a Olagunju, TO4 aut |
700 | 1 | a Padubidri, JR4 aut |
700 | 1 | a Pakshir, K4 aut |
700 | 1 | a Pathak, Au Karolinska Institutet4 aut |
700 | 1 | a Polinder, S4 aut |
700 | 1 | a Pribadi, DRA4 aut |
700 | 1 | a Rabiee, N4 aut |
700 | 1 | a Radfar, A4 aut |
700 | 1 | a Rana, SM4 aut |
700 | 1 | a Rickard, J4 aut |
700 | 1 | a Safari, S4 aut |
700 | 1 | a Salamati, P4 aut |
700 | 1 | a Samy, AM4 aut |
700 | 1 | a Sarker, AR4 aut |
700 | 1 | a Schwebel, DC4 aut |
700 | 1 | a Senthilkumaran, S4 aut |
700 | 1 | a Shaahmadi, F4 aut |
700 | 1 | a Shaikh, MA4 aut |
700 | 1 | a Shin, JI4 aut |
700 | 1 | a Singh, PK4 aut |
700 | 1 | a Soheili, A4 aut |
700 | 1 | a Stokes, MA4 aut |
700 | 1 | a Suleria, HAR4 aut |
700 | 1 | a Tarigan, IU4 aut |
700 | 1 | a Temsah, MH4 aut |
700 | 1 | a Tesfay, BE4 aut |
700 | 1 | a Valdez, PR4 aut |
700 | 1 | a Veisani, Y4 aut |
700 | 1 | a Ye, PP4 aut |
700 | 1 | a Yonemoto, N4 aut |
700 | 1 | a Yu, CH4 aut |
700 | 1 | a Yusefzadeh, H4 aut |
700 | 1 | a Bin Zaman, S4 aut |
700 | 1 | a Zhang, ZJ4 aut |
700 | 1 | a James, SL4 aut |
710 | 2 | a Karolinska Institutet4 org |
773 | 0 | t Injury prevention : journal of the International Society for Child and Adolescent Injury Preventiond : BMJg 26:SUPP_1Supp 1, s. 83-95q 26:SUPP_1Supp 1<83-95x 1475-5785 |
773 | 0 | t Injury Preventiond : BMJg 26:SUPP_1Supp 1, s. 83-95q 26:SUPP_1Supp 1<83-95x 1353-8047 |
856 | 4 | u https://injuryprevention.bmj.com/content/injuryprev/26/Suppl_2/i83.full.pdf |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:144870599 |
856 | 4 8 | u https://doi.org/10.1136/injuryprev-2019-043484 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
Kopiera och spara länken för att återkomma till aktuell vy