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Smoking Prevalence and Attributable Disease Burden in 195 Countries and Territories, 1990-2015: A Systematic Analysis From the Global Burden of Disease Study 2015 Publisher Pubmed



Reitsma MB1 ; Fullman N1 ; Ng M1 ; Salama JS1 ; Abajobir A2 ; Abate KH3 ; Abbafati C4 ; Abera SF5, 7 ; Abraham B6 ; Abyu GY7 ; Adebiyi AO8 ; Alaly Z9 ; Aleman AV10 ; Ali R11 Show All Authors
Authors
  1. Reitsma MB1
  2. Fullman N1
  3. Ng M1
  4. Salama JS1
  5. Abajobir A2
  6. Abate KH3
  7. Abbafati C4
  8. Abera SF5, 7
  9. Abraham B6
  10. Abyu GY7
  11. Adebiyi AO8
  12. Alaly Z9
  13. Aleman AV10
  14. Ali R11
  15. Alkerwi AA12
  16. Allebeck P13
  17. Alraddadi RM14
  18. Amare AT15
  19. Amberbir A16
  20. Ammar W17
  21. Amrock SM18
  22. Antonio CAT19
  23. Asayesh H20
  24. Atnafu NT21, 22
  25. Azzopardi P23, 24
  26. Banerjee A25
  27. Barac A26
  28. Barrientosgutierrez T27
  29. Bastoabreu AC28
  30. Bazarganhejazi S29
  31. Bedi N30
  32. Bell B1
  33. Bello AK31
  34. Bensenor IM32
  35. Beyene AS33
  36. Bhala N34, 35
  37. Biryukov S1
  38. Bolt K1
  39. Brenner H36
  40. Butt Z37
  41. Cavalleri F10
  42. Cercy K1
  43. Chen H38
  44. Christopher DJ39
  45. Ciobanu LG40
  46. Colistro V10, 41
  47. Colomar M42
  48. Cornaby L1
  49. Dai X1
  50. Damtew SA43, 44
  51. Dandona L1, 45
  52. Dandona R1, 45
  53. Dansereau E1
  54. Davletov K46, 47
  55. Dayama A48
  56. Degfie TT49
  57. Deribew A11
  58. Dharmaratne SD16
  59. Dimtsu BD7
  60. Doyle KE50, 51
  61. Endries AY52
  62. Ermakov SP53, 54
  63. Estep K1
  64. Faraon EJA19, 55
  65. Farzadfar F56
  66. Feigin VL57
  67. Feigl AB58
  68. Fischer F59
  69. Friedman J1
  70. Ghiwot TT3
  71. Gall SL60
  72. Gao W61
  73. Gillum RF62
  74. Gold AL1
  75. Gopalani SV63
  76. Gotay CC64
  77. Gupta R65
  78. Gupta R65
  79. Gupta V67
  80. Hamadeh RR68
  81. Hankey G69, 70
  82. Harb HL17
  83. Hay SI1, 11
  84. Horino M71
  85. Horita N72
  86. Hosgood HD73
  87. Husseini A74
  88. Ileanu BV75
  89. Islami F76
  90. Jiang G77
  91. Jiang Y78
  92. Jonas JB79
  93. Kabir Z80
  94. Kamal R81
  95. Kasaeian A56
  96. Kesavachandran CN81
  97. Khader YS82
  98. Khalil I1
  99. Khang YH83
  100. Khera S84
  101. Khubchandani J85
  102. Kim D44
  103. Kim YJ86
  104. Kimokoti RW87
  105. Kinfu Y88
  106. Knibbs LD2
  107. Kokubo Y89
  108. Kolte D90
  109. Kopec J64
  110. Kosen S91
  111. Kotsakis GA1
  112. Koul PA92
  113. Koyanagi A93
  114. Krohn KJ1
  115. Krueger H64
  116. Defo BK94
  117. Bicer BK95
  118. Kulkarni C96
  119. Kumar GA97
  120. Leasher JL98
  121. Lee A1
  122. Leinsalu M99, 100
  123. Li T101
  124. Linn S103
  125. Liu P1
  126. Liu S102
  127. Lo LT104, 105
  128. Lopez AD23
  129. Ma S106, 107
  130. Abd El Razek HM108
  131. Majeed A109
  132. Malekzadeh R56
  133. Malta DC110
  134. Manamo WA44
  135. Martinezraga J111, 112
  136. Mekonnen AB113, 114
  137. Mendoza W115
  138. Miller TR116, 117
  139. Mohammad KA118, 119
  140. Morawska L120
  141. Musa KI121
  142. Nagel G122
  143. Neupane SP123
  144. Nguyen Q124
  145. Nguyen G1
  146. Oh IH125
  147. Oyekale AS126
  148. Pa M127
  149. Pana A128
  150. Park EK129
  151. Patil ST130
  152. Patton GC23
  153. Pedro J25
  154. Qorbani M131
  155. Rafay A132, 133
  156. Rahman M134, 135
  157. Rai RK136
  158. Ram U137
  159. Ranabhat CL138
  160. Refaat AH139, 140
  161. Reinig N1
  162. Roba HS33
  163. Rodriguez A109, 141
  164. Roman Y1
  165. Roth G1, 142
  166. Roy A48
  167. Sagar R48
  168. Salomon JA58
  169. Sanabria J15, 143
  170. De Souza Santos I32
  171. Sartorius B144
  172. Satpathy M48
  173. Sawhney M89
  174. Sawyer S23
  175. Saylan M145
  176. Schaub MP146
  177. Schluger N147
  178. Schutte AE148, 149
  179. Sepanlou SG56
  180. Serdar B150
  181. Shaikh MA151
  182. She J152
  183. Shin MJ153
  184. Shiri R154
  185. Shishani K155
  186. Shiue I156, 157
  187. Sigfusdottir ID158
  188. Silverberg JI159
  189. Singh J160
  190. Singh V161
  191. Slepak EL1
  192. Soneji S162
  193. Soriano JB163
  194. Soshnikov S54
  195. Sreeramareddy CT164
  196. Stein DJ165, 166
  197. Stranges S167
  198. Subart ML1
  199. Swaminathan S168
  200. Szoeke CEI23
  201. Tefera WM27, 169
  202. Topormadry R170
  203. Tran B171, 172
  204. Tsilimparis N173
  205. Tymeson H1
  206. Ukwaja KN174
  207. Updike R1
  208. Uthman OA167
  209. Violante FS175
  210. Vladimirov SK176
  211. Vlassov V177
  212. Vollset SE1, 178, 179
  213. Vos T1
  214. Weiderpass E13
  215. Wen CP180
  216. Werdecker A181
  217. Wilson S1
  218. Wubshet M182
  219. Xiao L183
  220. Yakob B144
  221. Yano Y159
  222. Ye P101
  223. Yonemoto N184
  224. Yoon SJ153
  225. Younis MZ185
  226. Yu C186
  227. Zaidi Z187
  228. Zaki MES188
  229. Zhang AL50
  230. Zipkin B1
  231. Murray CJL1
  232. Forouzanfar MH1
  233. Gakidou E1

Source: The Lancet Published:2017


Abstract

Background The scale-up of tobacco control, especially after the adoption of the Framework Convention for Tobacco Control, is a major public health success story. Nonetheless, smoking remains a leading risk for early death and disability worldwide, and therefore continues to require sustained political commitment. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) offers a robust platform through which global, regional, and national progress toward achieving smoking-related targets can be assessed. Methods We synthesised 2818 data sources with spatiotemporal Gaussian process regression and produced estimates of daily smoking prevalence by sex, age group, and year for 195 countries and territories from 1990 to 2015. We analysed 38 risk-outcome pairs to generate estimates of smoking-attributable mortality and disease burden, as measured by disability-adjusted life-years (DALYs). We then performed a cohort analysis of smoking prevalence by birth-year cohort to better understand temporal age patterns in smoking. We also did a decomposition analysis, in which we parsed out changes in all-cause smoking-attributable DALYs due to changes in population growth, population ageing, smoking prevalence, and risk-deleted DALY rates. Finally, we explored results by level of development using the Socio-demographic Index (SDI). Findings Worldwide, the age-standardised prevalence of daily smoking was 25·0% (95% uncertainty interval [UI] 24·2-25·7) for men and 5·4% (5·1-5·7) for women, representing 28·4% (25·8-31·1) and 34·4% (29·4-38·6) reductions, respectively, since 1990. A greater percentage of countries and territories achieved significant annualised rates of decline in smoking prevalence from 1990 to 2005 than in between 2005 and 2015; however, only four countries had significant annualised increases in smoking prevalence between 2005 and 2015 (Congo [Brazzaville] and Azerbaijan for men and Kuwait and Timor-Leste for women). In 2015, 11·5% of global deaths (6·4 million [95% UI 5·7-7·0 million]) were attributable to smoking worldwide, of which 52·2% took place in four countries (China, India, the USA, and Russia). Smoking was ranked among the five leading risk factors by DALYs in 109 countries and territories in 2015, rising from 88 geographies in 1990. In terms of birth cohorts, male smoking prevalence followed similar age patterns across levels of SDI, whereas much more heterogeneity was found in age patterns for female smokers by level of development. While smoking prevalence and risk-deleted DALY rates mostly decreased by sex and SDI quintile, population growth, population ageing, or a combination of both, drove rises in overall smoking attributable DALYs in low-SDI to middle-SDI geographies between 2005 and 2015. Interpretation The pace of progress in reducing smoking prevalence has been heterogeneous across geographies, development status, and sex, and as highlighted by more recent trends, maintaining past rates of decline should not be taken for granted, especially in women and in low-SDI to middle-SDI countries. Beyond the effect of the tobacco industry and societal mores, a crucial challenge facing tobacco control initiatives is that demographic forces are poised to heighten smoking's global toll, unless progress in preventing initiation and promoting cessation can be substantially accelerated. Greater success in tobacco control is possible but requires effective, comprehensive, and adequately implemented and enforced policies, which might in turn require global and national levels of political commitment beyond what has been achieved during the past 25 years. © 2017 The Author(s). Published by Elsevier Ltd.
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