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Burden of Injury Along the Development Spectrum: Associations Between the Socio-Demographic Index and Disability-Adjusted Life Year Estimates From the Global Burden of Disease Study 2017 Publisher Pubmed



Haagsma JA1 ; James SL2 ; Castle CD2 ; Dingels ZV2 ; Fox JT2 ; Hamilton EB2 ; Liu Z2 ; Lucchesi LR2 ; Roberts NLS2 ; Sylte DO2 ; Adebayo OM3 ; Ahmadi A4 ; Ahmed MB5 ; Aichour MTE6 Show All Authors
Authors
  1. Haagsma JA1
  2. James SL2
  3. Castle CD2
  4. Dingels ZV2
  5. Fox JT2
  6. Hamilton EB2
  7. Liu Z2
  8. Lucchesi LR2
  9. Roberts NLS2
  10. Sylte DO2
  11. Adebayo OM3
  12. Ahmadi A4
  13. Ahmed MB5
  14. Aichour MTE6
  15. Alahdab F7
  16. Alghnam SA8
  17. Aljunid SM9, 10
  18. Alraddadi RM11
  19. Alsharif U12
  20. Altirkawi K13
  21. Anjomshoa M14
  22. Antonio CAT15, 16
  23. Appiah SCY17, 18
  24. Aremu O19
  25. Arora A20, 21
  26. Asayesh H22
  27. Assadi R23
  28. Awasthi A24
  29. Quintanilla BPA25, 26
  30. Balalla S27
  31. Banstola A28
  32. Barkercollo SL29
  33. Barnighausen TW30, 31
  34. Bazarganhejazi S32, 33
  35. Bedi N34
  36. Behzadifar M35
  37. Behzadifar M35
  38. Benjet C37
  39. Bennett DA38
  40. Bensenor IM39
  41. Bhaumik S40
  42. Bhutta ZA41, 42
  43. Bijani A43
  44. Borges G37
  45. Borschmann R44, 45
  46. Bose D46
  47. Boufous S47
  48. Brazinova A48
  49. Rincon JCC49, 50
  50. Cardenas R51
  51. Carrero JJ52
  52. Carvalho F53
  53. Castanedaorjuela CA54, 55
  54. Catalalopez F56, 57
  55. Choi JYJ58
  56. Christopher DJ59
  57. Crowe CS60
  58. Dalal K61, 62
  59. Daryani A63
  60. Davitoiu DV64, 65
  61. Degenhardt L2, 66
  62. De Leo D67
  63. De Neve JW30
  64. Deribe K68, 69
  65. Dessie GA70
  66. Deveber GA71
  67. Dharmaratne SD2, 72
  68. Doan LP73
  69. Dolan KA74
  70. Driscoll TR75
  71. Dubey M76
  72. Elkhatib Z77, 78
  73. Ellingsen CL79
  74. El Sayed Zaki M80
  75. Endries AY81
  76. Eskandarieh S82
  77. Faro A83
  78. Fereshtehnejad SM84, 85
  79. Fernandes E86
  80. Filip I87, 88
  81. Fischer F89
  82. Franklin RC90
  83. Fukumoto T91, 92
  84. Gezae KE93
  85. Gill TK94
  86. Goulart AC95, 96
  87. Grada A97
  88. Guo Y98, 99
  89. Gupta R100, 101
  90. Bidgoli HH102
  91. Hajmirzaian A103, 104
  92. Hajmirzaian A103, 104
  93. Hamadeh RR106
  94. Hamidi S107
  95. Haro JM108, 109
  96. Hassankhani H110
  97. Hassen HY112, 113
  98. Havmoeller R114
  99. Hendrie D115
  100. Henok A112
  101. Hijar M116, 117
  102. Hole MK118
  103. Rad EH119, 120
  104. Hossain N121, 122
  105. Hostiuc S123, 124
  106. Hu G125
  107. Igumbor EU126, 127
  108. Ilesanmi OS128
  109. Irvani SSN129
  110. Islam SMS130, 131
  111. Ivers RQ132
  112. Jacobsen KH133
  113. Jahanmehr N134, 135
  114. Jakovljevic M136
  115. Jayatilleke AU137, 138
  116. Jha RP139
  117. Jonas JB140, 141
  118. Shushtari ZJ142
  119. Jozwiak JJ143
  120. Jurisson M144
  121. Kabir A145
  122. Kalani R146
  123. Kasaeian A147, 148
  124. Kelbore AG149
  125. Kengne AP150, 151
  126. Khader YS152
  127. Khafaie MA153
  128. Khalid N154
  129. Khan EA155
  130. Khoja AT156, 157
  131. Kiadaliri AA158
  132. Kim YE159
  133. Kim D160
  134. Kisa A161
  135. Koyanagi A162, 163
  136. Defo BK164, 165
  137. Bicer BK166, 167
  138. Kumar M168, 169
  139. Lalloo R170
  140. Lam H171
  141. Lami FH172
  142. Lansingh VC173, 174
  143. Leasher JL175
  144. Li S98
  145. Linn S176
  146. Lunevicius R177, 178
  147. Machado FR179
  148. Abd El Razek HM180
  149. Abd El Razek MM181
  150. Mahotra NB182
  151. Majdan M183
  152. Majeed A184
  153. Malekzadeh R185, 186
  154. Malik MA187, 188
  155. Malta DC189
  156. Manda AL190
  157. Mansournia MA191
  158. Massenburg BB60
  159. Maulik PK192, 193
  160. Meheretu HAA70, 194
  161. Mehndiratta MM195, 196
  162. Melese A197
  163. Mendoza W198
  164. Mengesha MM199
  165. Meretoja TJ200, 201
  166. Meretoja A202, 203
  167. Mestrovic T204, 205
  168. Miazgowski T206
  169. Miller TR115, 207
  170. Mini GK208, 209
  171. Mirrakhimov EM210, 211
  172. Moazen B30, 212
  173. Mezerji NMG213
  174. Mohammadibakhsh R214
  175. Mohammed S30, 215
  176. Molokhia M216
  177. Monasta L217
  178. Mondello S218, 219
  179. Monterozamora PA220, 221
  180. Moodley Y222
  181. Moosazadeh M223
  182. Moradi G224, 225
  183. Moradilakeh M226
  184. Morawska L227
  185. Velasquez IM228
  186. Morrison SD229
  187. Moschos MM230, 231
  188. Mousavi SM232, 233
  189. Murthy S234
  190. Musa KI235
  191. Naik G236
  192. Najafi F237
  193. Nangia V238
  194. Nascimento BR239
  195. Ndwandwe DE240
  196. Negoi I64, 241
  197. Nguyen TH242
  198. Nguyen SH242
  199. Nguyen LH242
  200. Nguyen HLT243
  201. Ningrum DNA244, 245
  202. Nirayo YL246
  203. Oforiasenso R247, 248
  204. Ogbo FA249
  205. Oh IH250
  206. Oladimeji O251, 252
  207. Olagunju AT253, 254
  208. Olagunju TO255
  209. Olivares PR256
  210. Orpana HM257, 258
  211. Otstavnov SS259, 260
  212. Mahesh PA261
  213. Pakhale S262
  214. Park EK263
  215. Patton GC264, 265
  216. Pesudovs K266
  217. Phillips MR267, 268
  218. Polinder S1
  219. Prakash S269
  220. Radfar A270, 271
  221. Rafay A272
  222. Rafiei A273, 274
  223. Rahimi S275
  224. Rahimimovaghar V276
  225. Rahman MA277, 278
  226. Rai RK279, 280
  227. Ramezanzadeh K281
  228. Rawaf S184, 282
  229. Rawaf DL283, 284
  230. Renzaho AMN249, 285
  231. Resnikoff S286, 287
  232. Rezaeian S288
  233. Roever L289
  234. Ronfani L217
  235. Roshandel G185, 290
  236. Sabde YD291
  237. Saddik B292
  238. Salamati P276
  239. Salimi Y237, 293
  240. Salz I294
  241. Samy AM295
  242. Sanabria J296, 297
  243. Riera LS298, 299
  244. Santric Milicevic MM300, 301
  245. Satpathy M302, 303
  246. Sawhney M304
  247. Sawyer SM44, 264
  248. Saxena S305
  249. Saylan M306
  250. Schneider IJC307
  251. Schwebel DC308
  252. Seedat S309
  253. Sepanlou SG185, 186
  254. Shaikh MA310
  255. Shamsbeyranvand M311, 312
  256. Shamsizadeh M313
  257. Sharifalhoseini M276
  258. Sheikh A314, 315
  259. Shen J316
  260. Shigematsu M317
  261. Shiri R318
  262. Shiue I319
  263. Silva JP53
  264. Singh JA320, 321
  265. Sinha DN322, 323
  266. Filho AMS324
  267. Soriano JB325, 326
  268. Soshnikov S327
  269. Soyiri IN328, 329
  270. Starodubov VI330
  271. Stein DJ323, 331
  272. Stokes MA332
  273. Sufiyan MB333
  274. Sunshine JE334
  275. Sykes BL335
  276. Tabaresseisdedos R336, 337
  277. Tabb KM338
  278. Tehranibanihashemi A226, 339
  279. Tessema GA340, 341
  280. Thakur JS342
  281. Tran KB343, 344
  282. Tran BX345
  283. Car LT346
  284. Uthman OA347
  285. Chudi Uzochukwu BS348
  286. Valdez PR349, 350
  287. Varavikova E351
  288. Vasconcelos AMN352, 353
  289. Venketasubramanian N354, 355
  290. Violante FS356, 357
  291. Vlassov V358
  292. Waheed Y359
  293. Wang YP360
  294. Wijeratne T361, 362
  295. Winkler AS363, 364
  296. Yadav P365
  297. Yano Y366
  298. Yenesew MA194
  299. Yip P367, 368
  300. Yisma E369
  301. Yonemoto N370
  302. Younis MZ371, 372
  303. Yu C373, 374
  304. Zafar S375
  305. Zaidi Z376
  306. Zaman SB377, 378
  307. Zamani M379
  308. Zhao Y380
  309. Zodpey S381
  310. Hay SI2, 382
  311. Lopez AD2, 383
  312. Mokdad AH2, 382
  313. Vos T2, 382

Source: Injury Prevention Published:2020


Abstract

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. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
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