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National-Level and State-Level Prevalence of Overweight and Obesity Among Children, Adolescents, and Adults in the Usa, 1990–2021, and Forecasts up to 2050 Publisher Pubmed

Summary: Study forecasts rising obesity rates in the USA by 2050, with significant state variations, urging stronger preventive policies. #Obesity #PublicHealth

Ng M1, 3 ; Dai X3, 5 ; Cogen RM3 ; Abdelmasseh M10 ; Abdollahi A11 ; Abdullahi A16, 18 ; Aboagye RG19 ; Abukhadijah HJ21 ; Adeyeoluwa TE22, 23 ; Afolabi AA25 ; Ahmad D26, 27 ; Ahmad N3 ; Ahmed A28, 30 ; Ahmed SA31 Show All Authors
Authors
  1. Ng M1, 3
  2. Dai X3, 5
  3. Cogen RM3
  4. Abdelmasseh M10
  5. Abdollahi A11
  6. Abdullahi A16, 18
  7. Aboagye RG19
  8. Abukhadijah HJ21
  9. Adeyeoluwa TE22, 23
  10. Afolabi AA25
  11. Ahmad D26, 27
  12. Ahmad N3
  13. Ahmed A28, 30
  14. Ahmed SA31
  15. Akkaif MA32
  16. Akrami AE33, 34
  17. Al Hasan SM36
  18. Al Taani O40
  19. Alahdab F41, 42
  20. Alaly Z37, 44
  21. Aldhaleei WA46
  22. Algammal AM47
  23. Ali W48
  24. Alibraheem A49, 50
  25. Alqahatni SA52, 53
  26. Alrifai RH55
  27. Alshahrani NZ56
  28. Alwardat M57
  29. Aly H58
  30. Alzyoud WA59
  31. Amiri S60
  32. Anil A61
  33. Arabloo J12
  34. Aravkin AY3, 5, 7
  35. Ardekani A64
  36. Areda D66, 67
  37. Ashemo MY68, 69
  38. Atreya A70
  39. Azadnajafabad S38, 71
  40. Aziz S72
  41. Azzopardi PS73, 74, 75
  42. Babu GR76
  43. Baig AA77
  44. Bako AT78
  45. Bansal K80, 81
  46. Barnighausen TW82, 83
  47. Bastan MM13, 90
  48. Bemanalizadeh M91, 104
  49. Beran A107
  50. Beyene HB108, 110
  51. Bhaskar S111, 112
  52. Bilgin C113, 114
  53. Bleyer A43, 115
  54. Borhany H116
  55. Boyko EJ9, 121
  56. Braithwaite D122, 124
  57. Bryazka D3
  58. Bugiardini R125
  59. Bustanji Y51, 126
  60. Butt ZA130, 131
  61. Barsbay MC132
  62. Camposnonato I133
  63. Cembranel F134
  64. Cerin E136, 137
  65. Chaconuscamaita PR138
  66. Chandrasekar EK139
  67. Chattu VK141, 142
  68. Chen AT143, 144
  69. Chen G145, 146
  70. Chi G84
  71. Ching PR147
  72. Cho SMJ148, 150
  73. Choi DW156
  74. Chong B2
  75. Chung SC157, 158
  76. Cindi Z159
  77. Cini KI73, 75
  78. Columbus A54, 225
  79. Couto RAS162
  80. Criqui MH164
  81. Cruzmartins N163, 165
  82. Daar OB167
  83. Dadras O92, 168
  84. Dai Z170, 173
  85. Darcho SD178
  86. Dash NR127
  87. Desai HD179
  88. Dharmaratne SD3, 5, 180
  89. Diaz D181
  90. Diaz MJ123
  91. Do TC182
  92. Dolatshahi M39
  93. Doria M183, 184
  94. Doshi OP185
  95. Doshi RP186, 187
  96. Dowou RK20
  97. Dube J188
  98. Dumuid D189
  99. Dziedzic AM190
  100. Emar AR58
  101. El Arab RA191
  102. El Bayoumy IF192, 193
  103. Elhadi M79, 194
  104. Eltaha C195
  105. Falzone L196, 197
  106. Farrokhpour H93
  107. Fazeli P201
  108. Feigin VL3, 203, 204
  109. Fekadu G205, 206
  110. Ferreira N207
  111. Fischer F208
  112. Francis KL73
  113. Gadanya MA17, 211
  114. Gebregergis MW212
  115. Ghadimi DJ117
  116. Gholami E214
  117. Golechha M215
  118. Golinelli D216, 217
  119. Gona PN218
  120. Gouravani M93
  121. Grada A219
  122. Grover A223
  123. Guha A220, 225
  124. Gupta R226
  125. Habibzadeh P227
  126. Haep N209, 228
  127. Halimi A118
  128. Hasan MK36, 229, 232
  129. Hasnain MS233
  130. Hay SI3, 5
  131. He WQ175
  132. Hebert JJ234, 235
  133. Hemmati M236, 237
  134. Hiraike Y238
  135. Hoan NQ239
  136. Hostiuc S240, 241
  137. Hu C242
  138. Huang J243
  139. Huynh HH245
  140. Islam MR246
  141. Islam SMS177, 247
  142. Jacob L248, 249
  143. Joseph A251
  144. Kamarajah SK254
  145. Kanmodi KK255, 256
  146. Kantar RS257, 258
  147. Karimi Y94
  148. Kazemian S95, 96
  149. Khan MJ259
  150. Khan MS261, 262
  151. Khanal P263
  152. Khanmohammadi S93, 199
  153. Khatab K264, 265
  154. Khatatbeh MM266
  155. Khormali M97
  156. Khubchandani J267
  157. Kiconco S268
  158. Kim MS149, 151
  159. Kimokoti RW269
  160. Kisa A270, 271
  161. Kulimbet M272, 273
  162. Kumar V274, 275
  163. Kundu S276, 277
  164. Kurmi OP230, 278
  165. Lai H279, 280
  166. Le NHH281, 284
  167. Lee M285
  168. Lee SW286
  169. Lee WC287
  170. Li A288, 289
  171. Li W290
  172. Lim SS3, 5
  173. Lin J171
  174. Lindstedt PA3
  175. Liu X152, 291
  176. Lo J3
  177. Lopezgil JF292
  178. Lucchetti G294
  179. Luo L295
  180. Lusk JB297
  181. Mahmoudi E98
  182. Rad EM99
  183. Manla Y298
  184. Martinezpiedra R299
  185. Mathangasinghe Y300, 301
  186. Matozinhos FP302
  187. Mcphail SM303, 304
  188. Meles HN213
  189. Mensah GA224, 305
  190. Meo SA306
  191. Mestrovic T3, 308
  192. Michalek IM309, 310
  193. Mini GK311, 313
  194. Mirzaaghazadehattari M314, 315
  195. Mocciaro G317
  196. Mohamed J318
  197. Mohamed MFH202
  198. Mohamed NS319, 320
  199. Mohammad AM321
  200. Mohammed S82, 322
  201. Mokdad AH3, 5
  202. Momenzadeh K85
  203. Momtazmanesh S90, 93
  204. Montazeri F198, 199, 200, 324
  205. Moradilakeh M14, 15
  206. Morrison SD325
  207. Motappa R326
  208. Mullany EC3
  209. Murray CJL3, 5
  210. Naghavi P328
  211. Najdaghi S105, 106
  212. Davani DN105
  213. Nascimento GG329
  214. Natto ZS86, 330
  215. Nguyen DH154, 331
  216. Nguyen HTH332, 333
  217. Nguyen PT334
  218. Nguyen VT282
  219. Nigatu YT335
  220. Nikravangolsefid N336
  221. Noor STA340, 341
  222. Nugen F337, 342
  223. Nzoputam OJ343, 344
  224. Oancea B345
  225. Oconnell EM3
  226. Okeke SR172, 174
  227. Olagunju AT231, 346
  228. Olasupo OO229
  229. Olorukooba AA323
  230. Ostroff SM3, 4
  231. Oulhaj A347
  232. Owolabi MO24, 348
  233. Mahesh Padukudru PA349
  234. Parikh RR350
  235. Park S252, 351
  236. Park S252, 351
  237. Pashaei A352
  238. Pereira G353, 354
  239. Pham HN338, 355
  240. Pham T3
  241. Philip AK356
  242. Pradhan J357
  243. Pradhan PMS83, 358
  244. Pronk NP87, 359
  245. Puvvula J160
  246. Alavi SNR360
  247. Raggi C3
  248. Rahman MA361, 362
  249. Rahmani B363
  250. Rahmanian M119
  251. Ramasamy SK253
  252. Ranabhat CL364, 365
  253. Rao SJ366
  254. Rashedi S199, 367
  255. Rashid AM368, 369
  256. Redwan EMM370, 371
  257. Rhee TG290, 372
  258. Rodrigues M373
  259. Rodriguez JAB374, 375
  260. Sabet CJ237
  261. Sabour S120
  262. Saeed U376, 377
  263. Sagoe D169
  264. Saleh MA128, 378
  265. Samuel VP379
  266. Samy AM380, 381
  267. Saravanan A61, 382
  268. Sawhney M383
  269. Sawyer SMM73, 384
  270. Scarmeas N385, 386
  271. Schlaich MP109, 387
  272. Schuermans A150, 388
  273. Sepanlou SG65, 100
  274. Seylani A390
  275. Shafie M101
  276. Shah NS35
  277. Shamim MA61
  278. Shamshirgaran MA391
  279. Sharfaei S88, 392
  280. Sharifan A102, 393
  281. Sharma A394
  282. Sharma M395
  283. Sheikh A89, 396
  284. Shenoy RR397
  285. Shetty PK327
  286. Shibuya K398
  287. Shittu A399
  288. Shuval K400
  289. Siddig EE29, 401
  290. Silva DAS135
  291. Singh JA402, 403
  292. Smith AE3
  293. Solanki R405, 406
  294. Soliman SSM129
  295. Song Y407
  296. Soraneh S316, 408
  297. Straif K409, 410
  298. Szarpak L411, 412
  299. Tabatabaei SM413, 414
  300. Tabche C415
  301. Tanwar M416
  302. Tat NY417, 418
  303. Temsah MH307
  304. Thavamani A221, 222
  305. Tran TH283, 419
  306. Trico D420
  307. Truyen TTTT421
  308. Tyrovolas S260, 422
  309. Udoh A423
  310. Ullah S424, 425
  311. Vahabi SM103
  312. Vahdati S339
  313. Vaithinathan AG426
  314. Vakilpour A161
  315. Van Den Eynde J388
  316. Vinayak M427
  317. Weerakoon KG428
  318. Wickramasinghe ND429
  319. Wolde AA3, 430
  320. Wonde TE431
  321. Xu S140, 432
  322. Yang L389, 404
  323. Yano Y312
  324. Yigit A293
  325. Yon DK250
  326. Yu C296
  327. Yuan CW3
  328. Zastrozhin M176, 210
  329. Zeariya MG155, 166
  330. Zhong CC244
  331. Zhu B153
  332. Zhumagaliuly A272
  333. Zielinska M63
  334. Zyoud SH45, 62
  335. Kerr JA8, 73
  336. Vollset SE3, 5, 6
  337. Gakidou E3, 5

Source: The Lancet Published:2024


Abstract

Background: Over the past several decades, the overweight and obesity epidemic in the USA has resulted in a significant health and economic burden. Understanding current trends and future trajectories at both national and state levels is crucial for assessing the success of existing interventions and informing future health policy changes. We estimated the prevalence of overweight and obesity from 1990 to 2021 with forecasts to 2050 for children and adolescents (aged 5–24 years) and adults (aged ≥25 years) at the national level. Additionally, we derived state-specific estimates and projections for older adolescents (aged 15–24 years) and adults for all 50 states and Washington, DC. Methods: In this analysis, self-reported and measured anthropometric data were extracted from 134 unique sources, which included all major national surveillance survey data. Adjustments were made to correct for self-reporting bias. For individuals older than 18 years, overweight was defined as having a BMI of 25 kg/m2 to less than 30 kg/m2 and obesity was defined as a BMI of 30 kg/m2 or higher, and for individuals younger than 18 years definitions were based on International Obesity Task Force criteria. Historical trends of overweight and obesity prevalence from 1990 to 2021 were estimated using spatiotemporal Gaussian process regression models. A generalised ensemble modelling approach was then used to derive projected estimates up to 2050, assuming continuation of past trends and patterns. All estimates were calculated by age and sex at the national level, with estimates for older adolescents (aged 15–24 years) and adults aged (≥25 years) also calculated for 50 states and Washington, DC. 95% uncertainty intervals (UIs) were derived from the 2·5th and 97·5th percentiles of the posterior distributions of the respective estimates. Findings: In 2021, an estimated 15·1 million (95% UI 13·5–16·8) children and young adolescents (aged 5–14 years), 21·4 million (20·2–22·6) older adolescents (aged 15–24 years), and 172 million (169–174) adults (aged ≥25 years) had overweight or obesity in the USA. Texas had the highest age-standardised prevalence of overweight or obesity for male adolescents (aged 15–24 years), at 52·4% (47·4–57·6), whereas Mississippi had the highest for female adolescents (aged 15–24 years), at 63·0% (57·0–68·5). Among adults, the prevalence of overweight or obesity was highest in North Dakota for males, estimated at 80·6% (78·5–82·6), and in Mississippi for females at 79·9% (77·8–81·8). The prevalence of obesity has outpaced the increase in overweight over time, especially among adolescents. Between 1990 and 2021, the percentage change in the age-standardised prevalence of obesity increased by 158·4% (123·9–197·4) among male adolescents and 185·9% (139·4–237·1) among female adolescents (15–24 years). For adults, the percentage change in prevalence of obesity was 123·6% (112·4–136·4) in males and 99·9% (88·8–111·1) in females. Forecast results suggest that if past trends and patterns continue, an additional 3·33 million children and young adolescents (aged 5–14 years), 3·41 million older adolescents (aged 15–24 years), and 41·4 million adults (aged ≥25 years) will have overweight or obesity by 2050. By 2050, the total number of children and adolescents with overweight and obesity will reach 43·1 million (37·2–47·4) and the total number of adults with overweight and obesity will reach 213 million (202–221). In 2050, in most states, a projected one in three adolescents (aged 15–24 years) and two in three adults (≥25 years) will have obesity. Although southern states, such as Oklahoma, Mississippi, Alabama, Arkansas, West Virginia, and Kentucky, are forecast to continue to have a high prevalence of obesity, the highest percentage changes from 2021 are projected in states such as Utah for adolescents and Colorado for adults. Interpretation: Existing policies have failed to address overweight and obesity. Without major reform, the forecasted trends will be devastating at the individual and population level, and the associated disease burden and economic costs will continue to escalate. Stronger governance is needed to support and implement a multifaceted whole-system approach to disrupt the structural drivers of overweight and obesity at both national and local levels. Although clinical innovations should be leveraged to treat and manage existing obesity equitably, population-level prevention remains central to any intervention strategies, particularly for children and adolescents. Funding: Bill & Melinda Gates Foundation. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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