Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Estimation of the Global Prevalence of Dementia in 2019 and Forecasted Prevalence in 2050: An Analysis for the Global Burden of Disease Study 2019 Publisher Pubmed



Nichols E1 ; Steinmetz JD1 ; Vollset SE1, 2 ; Fukutaki K1 ; Chalek J1 ; Abdallah F4 ; Abdoli A5 ; Abualhasan A4 ; Abugharbieh E6 ; Akram TT7 ; Al Hamad H9, 10 ; Alahdab F11 ; Alanezi FM14 ; Alipour V15, 16 Show All Authors
Authors
  1. Nichols E1
  2. Steinmetz JD1
  3. Vollset SE1, 2
  4. Fukutaki K1
  5. Chalek J1
  6. Abdallah F4
  7. Abdoli A5
  8. Abualhasan A4
  9. Abugharbieh E6
  10. Akram TT7
  11. Al Hamad H9, 10
  12. Alahdab F11
  13. Alanezi FM14
  14. Alipour V15, 16
  15. Almustanyir S19, 20
  16. Amu H21
  17. Ansari I22
  18. Arabloo J15
  19. Ashraf T23
  20. Astellburt T26, 27
  21. Ayano G29
  22. Ayusomateos JL30, 31
  23. Baig AA33
  24. Barnett A34
  25. Barrow A35, 36
  26. Baune BT37, 39
  27. Bejot Y40, 41
  28. Mequanint Bezabhe WM42, 46
  29. Bezabih YM43, 47
  30. Bhagavathula AS48, 49
  31. Bhaskar S51, 52
  32. Bhattacharyya K53, 54
  33. Bijani A55
  34. Biswas A56
  35. Bolla SR57
  36. Boloor A58
  37. Brayne C60
  38. Brenner H61
  39. Burkart K1, 2
  40. Burns RA62
  41. Cao C64
  42. Carvalho F65
  43. Castrodearaujo LFS72
  44. Catalalopez F32, 74
  45. Cerin E34, 75
  46. Chavan PP76
  47. Cherbuin N62
  48. Chu DT78
  49. Costa VM65
  50. Couto RAS66
  51. Dadras O79, 80
  52. Dai X1
  53. Dandona L1, 81, 82
  54. Dandona R1, 2, 81
  55. De La Cruzgongora V83
  56. Dhamnetiya D84
  57. Da Silva DD67
  58. Diaz D85, 86
  59. Douiri A87
  60. Edvardsson D88, 89
  61. Ekholuenetale M90, 91
  62. El Sayed I94
  63. Eljaafary SI4
  64. Eskandari K95, 96
  65. Eskandarieh S97
  66. Esmaeilnejad S103, 104
  67. Fares J106
  68. Faro A108
  69. Farooque U109
  70. Feigin VL1, 110, 112
  71. Feng X113, 114
  72. Fereshtehnejad SM115, 116
  73. Fernandes E68
  74. Ferrara P117
  75. Filip I118, 119
  76. Fillit H120, 121
  77. Fischer F123
  78. Gaidhane S124
  79. Galluzzo L126
  80. Ghashghaee A15, 17
  81. Ghith N127
  82. Gialluisi A128
  83. Gilani SA24
  84. Glavan IR129
  85. Gnedovskaya EV111
  86. Golechha M130
  87. Gupta R131, 132
  88. Gupta VB133
  89. Gupta VK134
  90. Haider MR135
  91. Hall BJ136
  92. Hamidi S137
  93. Hanif A25
  94. Hankey GJ138, 139
  95. Haque S140
  96. Hartono RK141
  97. Hasaballah AI142
  98. Hasan MT143
  99. Hassan A4
  100. Hay SI1, 2
  101. Hayat K144, 145
  102. Hegazy MI1
  103. Heidari G146
  104. Heidarisoureshjani R98
  105. Herteliu C129, 147
  106. Househ M148
  107. Hussain R8
  108. Hwang BF149
  109. Iacoviello L150
  110. Iavicoli I151
  111. Ilesanmi OS92, 152
  112. Ilic IM154
  113. Ilic MD155
  114. Irvani SSN156
  115. Iso H157
  116. Iwagami M159, 161
  117. Jabbarinejad R99, 107
  118. Jacob L162, 163
  119. Jain V164
  120. Jayapal SK166
  121. Jayawardena R167, 169
  122. Jha RP84, 170
  123. Jonas JB171, 172
  124. Joseph N59
  125. Kalani R3
  126. Kandel A77
  127. Kandel H28, 173
  128. Karch A38
  129. Kasa AS44
  130. Kassie GM174
  131. Keshavarz P175, 176
  132. Khan MAB50, 177
  133. Khatib MN125
  134. Khoja TAM178
  135. Khubchandani J179
  136. Kim MS180, 181
  137. Kim YJ182
  138. Kisa A183, 184
  139. Kisa S185
  140. Kivimaki M186, 188
  141. Koroshetz WJ189
  142. Koyanagi A190, 191
  143. Kumar GA81
  144. Kumar M187, 192
  145. Lak HM164
  146. Leonardi M193
  147. Li B194
  148. Lim SS1, 2
  149. Liu X165, 195
  150. Liu Y196
  151. Logroscino G197, 198
  152. Lorkowski S199, 200
  153. Lucchetti G201
  154. Saute RL202
  155. Magnani FG193
  156. Malik AA25, 204
  157. Massano J69, 205
  158. Mehndiratta MM206, 207
  159. Menezes RG12
  160. Meretoja A73, 208
  161. Mohajer B100
  162. Ibrahim NM209
  163. Mohammad Y210
  164. Mohammed A211
  165. Mokdad AH1, 2
  166. Mondello S212
  167. Moni MA213
  168. Moniruzzaman M214
  169. Mossie TB45
  170. Nagel G215
  171. Naveed M216
  172. Nayak VC217
  173. Kandel SN218
  174. Nguyen TH219, 220
  175. Oancea B221
  176. Otstavnov N222
  177. Otstavnov SS222, 223
  178. Owolabi MO93, 153
  179. Pandajonas S171
  180. Kan FP18
  181. Pasovic M1
  182. Patel UK122
  183. Pathak M225
  184. Peres MFP226, 227
  185. Perianayagam A228
  186. Peterson CB229
  187. Phillips MR230, 231
  188. Pinheiro M70
  189. Piradov MA112
  190. Pond CD232
  191. Potashman MH233
  192. Pottoo FH13
  193. Prada SI234, 235
  194. Radfar A236
  195. Raggi A193
  196. Rahim F101
  197. Rahman M237
  198. Ram P238
  199. Ranasinghe P168
  200. Rawaf DL239, 241
  201. Rawaf S240, 242
  202. Rezaei N102, 243
  203. Rezapour A15
  204. Robinson SR244
  205. Romoli M245
  206. Roshandel G246
  207. Sahathevan R73, 247
  208. Sahebkar A248, 249
  209. Sahraian MA97
  210. Sathian B9, 250
  211. Sattin D193
  212. Sawhney M251
  213. Saylan M252
  214. Schiavolin S193
  215. Seylani A253
  216. Sha F254
  217. Shaikh MA255
  218. Shaji KS256
  219. Shannawaz M257
  220. Shetty JK258
  221. Shigematsu M259
  222. Shin JI260
  223. Shiri R261
  224. Santos Silva DA262
  225. Silva JP65
  226. Silva R71
  227. Singh JA263, 264
  228. Skryabin VY265
  229. Skryabina AA267
  230. Smith AE1
  231. Soshnikov S268, 269
  232. Spurlock EE1
  233. Stein DJ270
  234. Sun J271, 272
  235. Tabaresseisdedos R273, 274
  236. Thakur B275
  237. Timalsina B276
  238. Tovanipalone MR203, 277
  239. Tran BX278
  240. Tsegaye GW46
  241. Tahbaz SV105, 279
  242. Valdez PR63, 280
  243. Venketasubramanian N281, 282
  244. Vlassov V224
  245. Vu GT283
  246. Vu LG219, 220
  247. Wang YP226
  248. Wimo A284
  249. Winkler AS285, 286
  250. Yadav L287, 288
  251. Jabbari SHY279
  252. Yamagishi K158, 160
  253. Yang L289, 290, 291
  254. Yano Y292
  255. Yonemoto N293, 294
  256. Yu C295
  257. Yunusa I297
  258. Zadey S298
  259. Zastrozhin MS266, 299
  260. Zastrozhina A300
  261. Zhang ZJ296
  262. Murray CJL1, 2
  263. Vos T1, 2

Source: The Lancet Public Health Published:2022


Abstract

Background: Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. Methods: We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. Findings: We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4–65·1) million cases globally in 2019 to 152·8 (130·8–175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [–7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64–1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52–1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41–67]) and western Europe (74% [58–90]), and the largest in north Africa and the Middle East (367% [329–403]) and eastern sub-Saharan Africa (357% [323–395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. Interpretation: Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. Funding: Bill & Melinda Gates Foundation and Gates Ventures. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Other Related Docs
6. Global Mortality From Dementia: Application of a Newmethod and Results From the Global Burden of Disease Study 2019, Alzheimer's and Dementia: Translational Research and Clinical Interventions (2021)