Region | Sex | Prevalence | Prevalence LL | Prevalence UL | DALYs | DALY LL | DALY UL |
---|---|---|---|---|---|---|---|
Asia Pacific high income | Male | 4.7 | 3.6 | 5.9 | 495 367 | 313 855 | 736 986 |
Female | 6.7 | 5.2 | 8.5 | 752 573 | 477 664 | 1 124 563 | |
Australasia | Male | 4.6 | 3.4 | 6.1 | 66 134 | 42 214 | 101 283 |
Female | 6.7 | 4.9 | 9.1 | 98 927 | 60 681 | 157 071 | |
Caribbean | Male | 4.0 | 3.4 | 4.8 | 82 288 | 55 359 | 118 356 |
Female | 5.7 | 4.8 | 6.8 | 122 123 | 79 875 | 175 509 | |
Central Asia | Male | 4.0 | 3.5 | 4.7 | 149 223 | 99 685 | 208 356 |
Female | 5.8 | 5.0 | 6.8 | 234 287 | 156 213 | 331 406 | |
Central Europe | Male | 4.1 | 3.5 | 4.8 | 270 762 | 186 238 | 381 308 |
Female | 5.8 | 5.0 | 6.9 | 421 898 | 278 952 | 603 992 | |
East Asia | Male | 4.8 | 3.6 | 6.4 | 3 888 304 | 2 413 853 | 5 845 762 |
Female | 7.0 | 5.0 | 9.5 | 5 406 598 | 3 337 295 | 8 373 967 | |
Eastern Europe | Male | 4.0 | 3.1 | 5.2 | 435 776 | 271 013 | 652 270 |
Female | 5.9 | 4.6 | 7.4 | 783 863 | 507 998 | 1 179 580 | |
Latin America Andean | Male | 4.0 | 3.1 | 5.0 | 97 461 | 63 149 | 143 947 |
Female | 5.8 | 4.6 | 7.4 | 143 569 | 92 211 | 207 634 | |
Latin America central | Male | 3.7 | 3.1 | 4.5 | 396 258 | 260 907 | 578 979 |
Female | 5.3 | 4.4 | 6.4 | 598 247 | 387 791 | 880 523 | |
Latin America southern | Male | 4.6 | 3.5 | 5.9 | 138 853 | 85 932 | 205 497 |
Female | 6.6 | 5.2 | 8.4 | 214 687 | 139 262 | 313 184 | |
Latin America tropical | Male | 4.0 | 2.9 | 5.6 | 398 342 | 247 697 | 635 246 |
Female | 5.7 | 4.0 | 7.9 | 597 247 | 359 325 | 960 699 | |
North Africa/Middle East | Male | 3.5 | 3.1 | 4.0 | 727 869 | 499 757 | 1 027 858 |
Female | 5.2 | 4.5 | 5.9 | 1 022 870 | 698 899 | 1 439 164 | |
North America high income | Male | 5.3 | 4.3 | 6.7 | 998 462 | 657 645 | 1 439 161 |
Female | 7.6 | 6.2 | 9.3 | 1 487 508 | 979 162 | 2 143 181 | |
Oceania | Male | 3.8 | 3.0 | 4.9 | 15 853 | 10 128 | 23 283 |
Female | 5.4 | 4.2 | 6.9 | 21 953 | 13 955 | 33 587 | |
South Asia | Male | 2.7 | 2.1 | 3.6 | 2 069 641 | 1 320 038 | 3 063 412 |
Female | 3.9 | 3.0 | 5.0 | 2 805 797 | 1 802 199 | 4 121 861 | |
Southeast Asia | Male | 3.1 | 2.6 | 3.8 | 916 149 | 596 912 | 1 307 258 |
Female | 4.5 | 3.7 | 5.3 | 1 359 409 | 925 130 | 1 988 640 | |
Sub-Saharan Africa central | Male | 4.2 | 3.2 | 5.3 | 141 008 | 90 200 | 214 628 |
Female | 6.0 | 4.7 | 7.7 | 208 554 | 134 678 | 315 028 | |
Sub-Saharan Africa east | Male | 4.2 | 3.6 | 4.8 | 547 155 | 374 867 | 766 304 |
Female | 6.0 | 5.2 | 6.9 | 803 164 | 554 211 | 1 143 609 | |
Sub-Saharan Africa southern | Male | 4.7 | 3.7 | 6.0 | 142 110 | 90 822 | 209 891 |
Female | 6.8 | 5.4 | 8.6 | 213 074 | 139 857 | 308 880 | |
Sub-Saharan Africa west | Male | 4.1 | 3.5 | 5.0 | 524 335 | 352 338 | 743 220 |
Female | 6.0 | 5.0 | 7.1 | 751 384 | 497 101 | 1 080 793 | |
Western Europe | Male | 5.2 | 4.6 | 5.8 | 1 231 354 | 834 763 | 1 709 533 |
Female | 7.4 | 6.6 | 8.3 | 1 859 799 | 1 273 468 | 2 584 808 |
LL, lower limit; UL, upper limit.