TY - JOUR
T1 - Burden of injury along the development spectrum
T2 - associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017
AU - Haagsma, Juanita A.
AU - James, Spencer L.
AU - Castle, Chris D.
AU - Dingels, Zachary V.
AU - Fox, Jack T.
AU - Hamilton, Erin B.
AU - Liu, Zichen
AU - Lucchesi, Lydia R.
AU - Roberts, Nicholas L.S.
AU - Sylte, Dillon O.
AU - Adebayo, Oladimeji M.
AU - Ahmadi, Alireza
AU - Ahmed, Muktar Beshir
AU - Aichour, Miloud Taki Eddine
AU - Alahdab, Fares
AU - Alghnam, Suliman A.
AU - Aljunid, Syed Mohamed
AU - Al-Raddadi, Rajaa M.
AU - Alsharif, Ubai
AU - Altirkawi, Khalid
AU - Anjomshoa, Mina
AU - Antonio, Carl Abelardo T.
AU - Appiah, Seth Christopher Yaw
AU - Aremu, Olatunde
AU - Arora, Amit
AU - Asayesh, Hamid
AU - Assadi, Reza
AU - Awasthi, Ashish
AU - Quintanilla, Beatriz Paulina Ayala
AU - Balalla, Shivanthi
AU - Banstola, Amrit
AU - Barker-Collo, Suzanne Lyn
AU - Bärnighausen, Till Winfried
AU - Bazargan-Hejazi, Shahrzad
AU - Bedi, Neeraj
AU - Behzadifar, Masoud
AU - Behzadifar, Meysam
AU - Benjet, Corina
AU - Bennett, Derrick A.
AU - Bensenor, Isabela M.
AU - Bhaumik, Soumyadeep
AU - Bhutta, Zulfiqar A.
AU - Bijani, Ali
AU - Borges, Guilherme
AU - Borschmann, Rohan
AU - Bose, Dipan
AU - Boufous, Soufiane
AU - Brazinova, Alexandra
AU - Rincon, Julio Cesar Campuzano
AU - Dessie, Getenet Ayalew
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
AB - Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
UR - https://www.scopus.com/pages/publications/85077971646
U2 - 10.1136/injuryprev-2019-043296
DO - 10.1136/injuryprev-2019-043296
M3 - Article
C2 - 31915273
AN - SCOPUS:85077971646
SN - 1353-8047
VL - 26
SP - T12-I26
JO - Injury Prevention
JF - Injury Prevention
ER -