Cited by 53Obesity, Physical Activity, DietObesity and Health PracticesDiabetes, Cardiovascular Risks, and Lipoproteins

Explaining adult obesity, severe obesity, and BMI: Five decades of change

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Kranjac, Ashley W., Kranjac, Dinko·2023·Heliyon

Abstract

Obesity rates have increased across all segments of society since the late 1970s, but the reason behind population-level increases in body weight remains unclear. We used the 1971–2020 NHANES data to examine whether the observed trend in obesity prevalence is attributable to changing public health behaviors (i.e., intracohort change) or changing publics (i.e., cohort replacement). We partitioned total change in mean BMI, and rates of obesity and severe obesity, into its IC and CR components using linear and algebraic decomposition methods. We found that the IC mechanism (i.e., broad sectors of individuals changing) plays a dominant role in the overall increase in mean BMI, and obesity and severe obesity prevalence. Birth cohort membership (i.e., the CR mechanism) is also influencing mean BMI, and rates of obesity and severe obesity, but in differing ways. Specifically, the large positive IC and the small positive CR effects are amplifying one another, thus creating a steep increase in the observed rates of severe obesity. Conversely, the large positive IC effect is offset by a small negative CR effect, which created a more gradual rise in mean BMI and rates of obesity. Furthermore, we computed total change for models that entered separately sociodemographic, lifestyle, nutritional, and physical activity measures to estimate differences in mean BMI, and rates of obesity and severe obesity, among cohorts and time periods. Adjustment for all the compositional differences among the cohorts during the study period indicate that a combination of a more pronounced IC and a less pronounced CR drove the observed increase in mean BMI, and rates of obesity and severe obesity. Thus, "universal prevention" (i.e., entire community) strategies for healthy weight promotion may need to be combined with "selective prevention" (i.e., at-risk groups) and/or "targeted prevention" (i.e., at-risk individuals) approaches in order to reverse the obesity epidemic.

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  1. [2]Stierman B. Afful J. Carroll M.D. National Health and Nutrition Examination Survey 2017–March 2020 Prepandemic Data Files—Development of Files and Prevalence Estimates for Selected Health Outcomes 2021 NCHS Health E-stats 158 PMC11513744 39380201
  2. [3]Ward Z.J. Bleich S.N. Cradock A.L. Projected US state-level prevalence of adult obesity and severe obesity N. Engl. J. Med. 381 25 2019 2440 2450 31851800
  3. [4]Apovian C.M. Guo X.R. Hawley J.A. Approaches to addressing the rise in obesity levels Nat. Rev. Endocrinol. 2022 1 6 36450930
  4. [5]Dixon J.B. The effect of obesity on health outcomes Mol. Cell. Endocrinol. 316 2 2010 104 108 19628019
  5. [6]Ward Z.J. Bleich S.N. Long M.W. Association of body mass index with health care expenditures in the United States by age and sex PLoS One 16 3 2021 e0247307 PMC7990296 33760880
  6. [7]Reither E.N. Hauser R.M. Yang Y. Do birth cohorts matter? Age-period-cohort analyses of the obesity epidemic in the United States Soc. Sci. Med. 69 2009 1439 1448 19773107 PMC2782961
  7. [8]Rodgers A. Woodward A. Swinburn B. Prevalence trends tell us what did not precipitate the US obesity epidemic Lancet Public Health 3 4 2018 e162 e163 29501260
  8. [9]Loos R.J.F. Yeo G.S.H. The genetics of obesity: from discovery to biology Nat. Rev. Genet. 23 2 2022 120 133 34556834 PMC8459824
  9. [10]Silveira E.A. Mendonca C.R. Delpino F.M. Sedentary behavior, physical inactivity, abdominal obesity and obesity in adults and older adults: a systematic review and meta-analysis Clin. Nutr. ESPEN 50 2022 63 73 35871953
  10. [12]Romieu I. Dossus L. Barquera S. Energy balance and obesity: what are the main drivers? Cancer Causes Control 28 3 2017 247 258 28210884 PMC5325830
  11. [13]Cockerham W.C. Theoretical approaches to research on the social determinants of obesity Am. J. Prev. Med. 63 1 2022 S8 S17 35725145
  12. [14]Martinez-Esquivel A. Trujillo-Silva D.J. Cilia-Lopez V.G. Impact of environmental pollution on the obesogenic environment Nutr. Rev. 80 7 2022 1787 1799 35139538
  13. [15]McAllister E.J. Dhurandhar N.V. Keith S.W. Ten putative contributors to the obesity epidemic Crit. Rev. Food Sci. Nutr. 49 10 2009 868 913 19960394 PMC2932668
  14. [16]Ross S.E. Flynn J.I. Pate R.R. What is really causing the obesity epidemic? A review of reviews in children and adults J. Sports Sci. 34 12 2016 1148 1153 26400631
  15. [17]Kranjac A.W. Wagmiller R.L. Decomposing trends in adult body mass index, obesity, and morbid obesity, 1971–2012 Soc. Sci. Med. 167 2016 37 44 27597540
  16. [18]Sen B. Using the Oaxaca-Blinder decomposition as an empirical tool to analyze racial disparities in obesity Obesity 22 7 2014 1750 1755 24733610
  17. [19]Taber D.R. Robinson W.R. Bleich S.N. Deconstructing race and gender differences in adolescent obesity: oaxaca-Blinder decomposition Obesity 24 3 2016 719 726 26841122 PMC4792537
  18. [21]Kranjac A.W. Wagmiller R.L. Association between age and obesity over time Pediatrics 137 5 2016 e20152096 27244784
  19. [22]Woessner M.N. Tacey A. Levinger-Limor A. The evolution of technology and physical inactivity: the good, the bad, and the way forward Front. Public Health 9 2021 655491 PMC8193221 34123989
  20. [23]Barnhill A. Palmer A. Weston C.M. Grappling with complex food systems to reduce obesity: a US public health challenge Publ. Health Rep. 133 1 2018 44S 53S PMC6243440 30426872
  21. [24]Daly M. Boyce C. Wood A. A social rank explanation of how money influences health Health Psychol. 34 3 2015 222 230 25133843 PMC4507513
  22. [25]Hunte H.E.R. Williams D.R. The association between perceived discrimination and obesity in a population-based multiracial and multiethnic adult sample Am. J. Publ. Health 99 7 2009 1285 1292 PMC2696650 18923119
  23. [26]Creatore M.I. Glazier R.H. Moineddin R. Association of neighborhood walkability with change in overweight, obesity, and diabetes JAMA 315 20 2016 2211 2220 27218630
  24. [27]Smith M. Hosking J. Woodward A. Systematic literature review of built environment effects on physical activity and active transport—an update and new findings on health equity Int. J. Behav. Nutr. Phys. Activ. 14 1 2017 158 PMC5693449 29145884
  25. [28]van Lenthe H.J. Mackenbach J.P. Neighborhood deprivation and overweight: the GLOBE study Int. J. Obes. Relat. Metab. Disord. 26 2 2002 234 240 11850756
  26. [29]Brown P.J. Culture and the evolution of obesity Hum. Nat. 2 1 1991 31 57 24222189
  27. [30]Biddle S.J.H. Bengoechea E.G. Pedisic Z. Screen time, other sedentary behaviors, and obesity risk in adults: a review of reviews Curr. Obes. Rep. 6 2 2017 134 147 28421472
  28. [31]Caraballo R.S. Rice K.L. Neff L.J. Social and physical environmental characteristics associated with adult current cigarette smoking Prev. Chronic Dis. 16 2019 180373 PMC6583817 31172916
  29. [32]Bernstein K.T. Galea S. Ahern J. The built environment and alcohol consumption in urban neighborhoods Drug Alcohol Depend. 91 2–3 2007 244 252 17644274
  30. [33]Galea S. Ahern J. Tracy M. Neighborhood income and income distribution and the use of cigarettes, alcohol, and marijuana Am. J. Prev. Med. 32 6 suppl 2007 S195 S202 17543711 PMC1974881
  31. [34]Bobo J.K. Husten C. Sociocultural influences on smoking and drinking Alcohol Res. Health 24 4 2000 225 232 15986717 PMC6709745
  32. [35]Flegal K.M. The effects of changes in smoking prevalence on obesity prevalence in the United States Am. J. Publ. Health 97 8 2007 1510 1514 PMC1931461 17600266
  33. [36]Traversy G. Chaput J.-P. Alcohol consumption and obesity: an update Curr. Obes. Rep. 4 1 2015 122 130 25741455 PMC4338356
  34. [37]Hales C.M. Fryar C.D. Carroll M.D. Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007–2016 JAMA 319 16 2018 1723 1725 29570750 PMC5876828
  35. [38]Hales C.M. Carroll M.D. Fryar C.D. Prevalence of obesity among adults and youth: United States, 2015–2016 NCHS Data Brief 288 2017 1 8 29155689
  36. [39]Ogden C.L. Fakhouri T.H. Carroll M.D. Prevalence of obesity among adults, by household income and education — United States, 2011–2014 MMWR Morb. Mortal. Wkly. Rep. 66 50 2017 1369 1373 29267260 PMC5751581
  37. [40]O'Donoghue G. Kennedy A. Puggina A. Socio-economic determinants of physical activity across the life course: a “Determinants of Diet and Physical Activity (DEDIPAC) umbrella literature review PLoS One 13 1 2018 e0190737 PMC5774703 29351286
  38. [41]Darmon N. Drewnowski A. Does social class predict diet quality? Am. J. Clin. Nutr. 87 5 2008 1107 1117 18469226
  39. [42]Jamal A. Phillips E. Gentzke A.S. Current cigarette smoking among adults – United States, 2016 MMWR Morb. Mortal. Wkly. Rep. 67 2 2018 53 59 29346338 PMC5772802
  40. [43]Probst C. Kilian C. Sanchez S. The role of alcohol use and drinking patterns in socioeconomic inequalities in mortality: a systematic review Lancet Public Health 5 6 2020 E324 E332 32504585
  41. [44]Blüher M. Obesity: global epidemiology and pathogenesis Nat. Rev. Endocrinol. 15 2019 288 298 30814686
  42. [45]Institute of Medicine (US) Committee on an evidence framework for obesity prevention decision making Kumanyika S.K. Parker L. Sim L.J. Bridging the Evidence Gap in Obesity Prevention: A Framework to Inform Decision Making 2010 National Academies Press (US) Washington (DC) 25032376
  43. [48]Firebaugh G. Methods for estimating cohort replacement effects Socio. Methodol. 19 1989 243 262 12317058
  44. [50]Fastenau J. Kolotkin R.L. Fujioka K. A call to action to inform patient-centered approaches to obesity management: development of a disease-illness model Clin. Obes. 9 3 2019 e12309 PMC6594134 30977293
  45. [52]Allison D.B. Downey M. Atkinson R.L. Obesity as a disease: a white paper on evidence and arguments commissioned by the Council of the Obesity Society Obesity 16 6 2008 1161 1177 18464753
  46. [53]Swinburn B.A. Sacks G. Hall K.D. The global obesity pandemic: shaped by global drivers and local environments Lancet 378 9793 2011 804 814 21872749
  47. [54]The Lancet Gastroenterology Hepatology Obesity: another ongoing pandemic Lanc. Gastroenterol. Hepat. 6 6 2021 411 PMC9259282 34015350
  48. [55]Smith K.B. Smith M.S. Obesity statistics Prim. Care Clin. Off. Pract. 43 2016 121 135 26896205
  49. [56]Tseng E. Zhang A. Shogbesan O. Effectiveness of policies and programs to combat adult obesity: a systematic review J. Gen. Intern. Med. 33 11 2018 1990 2001 30206789 PMC6206360
  50. [57]Kremers S. Reubsaet A. Martens M. Systematic prevention of overweight and obesity in adults: a qualitative and quantitative literature analysis Obes. Rev. 11 5 2010 371 379 19538441
  51. [60]Frerichs L. Araz O.M. Calancie L. Dynamic empirically based model for understanding future trends in US obesity prevalence in the context of social influences Obesity 27 10 2019 1671 1681 31424169 PMC6756946
  52. [61]Janssen F. Bardoutsos A. Vidra N. Obesity prevalence in the long-term future in 18 European countries and in the USA Obes. Facts 13 5 2020 514 527 33075798 PMC7670332
  53. [62]Sturm R. Hattori A. Morbid obesity rates continue to rise rapidly in the United States Int. J. Obes. 37 6 2013 889 891 PMC3527647 22986681
  54. [63]Kitahara C.M. Flint A.J. Berrington de Gonzalez A. Association between class III obesity (BMI of 40–59 kg/m) and mortality: a pooled analysis of 20 prospective studies PLoS Med. 11 7 2014 e1001673 PMC4087039 25003901
  55. [64]McTigue K. Larson J.C. Valoski A. Mortality and cardiac and vascular outcomes in extremely obese women JAMA 296 2006 79 86 16820550
  56. [65]Kumanyika S.K. Obarzanek E. Stettler N. Population-based prevention of obesity Circulation 118 2008 428 464 18591433
  57. [66]Wang Y. Beydoun M.A. Liang L. Will all Americans become overweight or obese? Estimating the progression and cost of the obesity epidemic Obesity 16 10 2008 2323 2330 18719634
  58. [67]Whitfield G.P. Ussery E.N. Saint-Maurice P.F. Trends in aerobic physical activity participation across multiple domains among US adults, National Health and Nutrition Examination Survey J. Phys. Activ. Health 18 S1 2021 S64 S73 2007/2008 to 2017/2018 PMC10911582 34225255
  59. [68]Brownson R.C. Boehmer T.K. Luke D.A. Declining rates of physical activity in the United States: what are the contributors? Annu. Rev. Pub. Heal. 26 2005 421 443 15760296
  60. [69]Obesity Preventing and Managing the Global Epidemic. WHO Technical Report Series No. 894 2000 World Health Organization Geneva, Switzerland 11234459
  61. [70]Petersen R. Pan L. Blanck H.M. Racial and ethnic disparities in adult obesity in the United States: CDC's tracking to inform state and local action Prev. Chronic Dis. 16 2019 180579 PMC6464044 30974071
  62. [71]Simmonds M. Llewellyn A. Owen C.G. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis Obes. Rev. 17 2 2016 95 107 26696565
  63. [73]Alves A.C. De Silva N.M.G. Karhunen V. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI Sci. Adv. 5 9 2019 eaaw3095 PMC6904961 31840077
  64. [74]St-Onge M.P. Relationship between body composition changes and changes in physical function and metabolic risk factors in aging Curr. Opin. Clin. Nutr. Metab. Care 8 2005 523 528 16079623
  65. [75]Green M.A. Do we need to think beyond BMI for estimating population-level health risks? J. Public Health 38 1 2016 192 193 PMC5896802 25618907
  66. [76]Willett K. Jiang R. Lenart E. Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions Obesity 14 3 2006 480 490 16648620
  67. [78]Ammerman A. Smith T.W. Calancie L. Practice-based evidence in public health: improving reach, relevance, and results Annu. Rev. Pub. Heal. 35 2014 47 63 24641554
  68. [79]Amri M.M. Jessiman-Perreault G. Siddiqi A. Scoping review of the World Health Organization's underlying equity discourses: apparent ambiguities, inadequacy, and contradictions Int. J. Equity Health 20 1 2021 70 33658033 PMC7931570
  69. [81]Kumanyika S. Overcoming inequities in obesity: what don't we know that we need to know? Health Educ. Behav. 46 5 2019 721 727 31375036
  70. [82]Franck C. Grandi S.M. Eisenberg M.J. Taxing junk food to counter obesity Am. J. Publ. Health 103 11 2013 1949 1953 PMC3828689 24028245
  71. [84]Nargis N. Health People Countdown 2030: reaching 5% cigarette smoking prevalence among US adults through state cigarette excise tax increases Tobac. Control 0 2021 1 5 PMC10176409 34740954
  72. [85]Gelius P. Messing S. Goodwin L. What are effective policies for promoting physical activity? A systematic review of reviews Prev. Med. Rep. 18 2020 101095 PMC7182760 32346500
  73. [86]Steeves E.A. Martins P.A. Gittelsohn Changing the food environment for obesity prevention: key gaps and future directions Curr. Obes. Rep. 3 4 2014 451 458 25574452 PMC4283210
  74. [88]Jenson T.E. Psychosocial and behavioral risk profiles of cigarette smokers and e-cigarette users among adolescents in Minnesota: the 2016 Minnesota student survey Prev. Chronic Dis. 15 2018 180222 PMC6178898 30264689
  75. [89]Ely A.V. Wetherill R.R. Reward and inhibition in obesity and cigarette smoking: neurobiological overlaps and clinical implications Physiol. Behav. 260 2023 114049 PMC10694810 36470508
  76. [90]Sey N.Y.A. Ishakova M. Lee S. Chromatin architecture in addiction circuitry identifies risk genes and potential biological mechanisms underlying cigarette smoking and alcohol use traits Mol. Psychiatr. 27 2022 3085 3094 PMC9853312 35422469
  77. [91]Chiolero A. Faeh D. Paccaud F. Consequences of smoking for body weight, body fat distribution, and insulin resistance Am. J. Clin. Nutr. 87 2008 801 809 18400700
  78. [92]Sayon-Orea C. Martinez-Gonzalez M.A. Bes-Rastrollo M. Alcohol consumption and body weight: a systematic review Nutr. Rev. 69 8 2011 419 431 21790610

Cited by

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Authors
Kranjac, A. W., & Kranjac, D.
Affiliations
  • Chapman University (US)
  • University of La Verne (US)
Corresponding author
Kranjac, Ashley W.
Venue
Heliyon
Publisher
Elsevier BV
Published
2023-05
Volume
9
Issue
5
Pages
e16210
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4377086831
Cited by
53
References
5
Citations by year
2026: 14 · 2025: 22 · 2024: 17
FWCI
12.35
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Chapman University Digital Commons (Chapman University) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
adult obesity, morbid obesity, body mass index trends, cohort replacement, obesity prevalence, NHANES, public health behavior, sociodemographic factors, lifestyle factors, dietary factors, physical activity, obesity prevention strategies, universal prevention, targeted prevention

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