Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey

被引:2
|
作者
Winn, Maci [1 ,2 ]
Karra, Prasoona [2 ,3 ]
Freisling, Heinz [4 ]
Gunter, Marc J. J. [4 ]
Haaland, Benjamin [2 ]
Litchman, Michelle L. L. [2 ,5 ]
Doherty, Jennifer A. A. [1 ,2 ]
Playdon, Mary C. C. [2 ,3 ]
Hardikar, Sheetal [1 ,2 ,6 ,7 ]
机构
[1] Univ Utah, Dept Populat Hlth Sci, Salt Lake City, UT USA
[2] Univ Utah, Huntsman Canc Inst, Salt Lake City, UT USA
[3] Univ Utah, Dept Nutr & Integrat Physiol, Salt Lake City, UT USA
[4] Int Agcy Res Canc, Nutr & Metab Branch, Lyon, France
[5] Univ Utah, Coll Nursing, Salt Lake City, UT USA
[6] Fred Hutchinson Canc Res Ctr, Seattle, WA USA
[7] Huntsman Canc Inst, 4-711,2000 Circle Hope Dr, Salt Lake City, UT 84105 USA
关键词
cancer risk; epidemiology; metabolic obesity phenotypes; metabolic syndrome; obesity-related cancer; NORMAL-WEIGHT; INSULIN-RESISTANCE; BREAST-CANCER;
D O I
10.1002/edm2.433
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Body mass index (BMI) fails to identify up to one-third of normal weight individuals with metabolic dysfunction who may be at increased risk of obesity-related cancer (ORC). Metabolic obesity phenotypes, an alternate metric to assess metabolic dysfunction with or without obesity, were evaluated for association with ORC risk.Methods: National Health and Nutrition Examination Survey participants from 1999 to 2018 (N = 19,500) were categorized into phenotypes according to the metabolic syndrome (MetS) criteria and BMI: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obese (MHO) and metabolically unhealthy overweight/obese (MUO). Adjusted multivariable logistic regression models were used to evaluate associations with ORC.Results: With metabolic dysfunction defined as =1 MetS criteria, ORC cases (n = 528) had higher proportions of MUNW (28.2% vs. 17.4%) and MUO (62.6% vs. 60.9%) phenotypes than cancer-free individuals (n = 18,972). Compared with MHNW participants, MUNW participants had a 2.2-times higher ORC risk [OR (95%CI) = 2.21 (1.27-3.85)]. MHO and MUO participants demonstrated a 43% and 56% increased ORC risk, respectively, compared to MHNW, but these did not reach statistical significance [OR (95% CI) = 1.43 (0.46-4.42), 1.56 (0.91-2.67), respectively]. Hyperglycaemia, hypertension and central obesity were all independently associated with higher ORC risk compared to MHNW.Conclusions: MUNW participants have a higher risk of ORC than other abnormal phenotypes, compared with MHNW participants. Incorporating metabolic health measures in addition to assessing BMI may improve ORC risk stratification. Further research on the relationship between metabolic dysfunction and ORC is warranted.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Metabolic dysfunction and obesity-related cancer: Results from the cross-sectional National Health and Nutrition Examination Survey
    Winn, Maci
    Karra, Prasoona
    Haaland, Benjamin
    Doherty, Jennifer A.
    Summers, Scott A.
    Litchman, Michelle L.
    Gunter, Marc J.
    Playdon, Mary C.
    Hardikar, Sheetal
    [J]. CANCER MEDICINE, 2023, 12 (01): : 606 - 618
  • [2] The Risk of Microalbuminuria by Obesity Phenotypes according to Metabolic Health and Obesity: The Korean National Health and Nutrition Examination Survey 2011-2014
    Choi, Inyoung
    Moon, Heesun
    Kang, So Young
    Ko, Hyeonyoung
    Shin, Jinyoung
    Lee, Jungkwon
    [J]. KOREAN JOURNAL OF FAMILY MEDICINE, 2018, 39 (03): : 168 - 173
  • [4] Obesity-related hypertension: Findings from The Korea National Health and Nutrition Examination Survey 2008-2010
    Lee, Hong Seok
    Park, Yong-Moon
    Han, Kyungdo
    Yang, Jin-Hong
    Lee, Seungwon
    Lee, Seong-Su
    Yoo, Soonjib
    Kim, Sung Rae
    [J]. PLOS ONE, 2020, 15 (04):
  • [5] Metabolic Health Reduces Risk of Obesity-Related Cancer in Framingham Study Adults
    Moore, Lynn L.
    Chadid, Susan
    Singer, Martha R.
    Kreger, Bernard E.
    Denis, Gerald V.
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2014, 23 (10) : 2057 - 2065
  • [6] Metabolic Health, Obesity, and Cardiovascular Disease: 2015-2016 National Health and Nutrition Examination Survey
    Adair, Kathleen E.
    Padgett, R. Noah
    von Waaden, Nicholas
    Wilson, Ronald L.
    Bowden, Rodney G.
    [J]. AMERICAN JOURNAL OF THE MEDICAL SCIENCES, 2021, 361 (02): : 244 - 252
  • [7] LIFETIME HEALTH AND ECONOMIC CONSEQUENCES OF OBESITY-RELATED DISEASES: USING DATA FROM THE NATIONAL HEALTH INTERVIEW SURVEY, THE NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY, AND THE MEDICAL EXPENDITURE PANEL SURVEY
    Chang, S. H.
    Leung, M. Y.
    Stoll, C. R. T.
    Pollack, L. M.
    Colditz, G. A.
    [J]. VALUE IN HEALTH, 2014, 17 (03) : A157 - A157
  • [8] Metabolic obesity phenotype and risk of obesity-related cancers in the women's health initiative
    Karra, Prasoona
    Winn, Maci
    Anderson, Garnet
    Haaland, Benjamin
    Shadyab, Aladdin H.
    Neuhouser, Marian
    Seguin-Fowler, Rebecca
    Thomson, Cynthia A.
    Coday, Mace
    Wactawski-Wende, Jean
    Stefanick, Marcia L.
    Zhang, Xiaochen
    Cheng, Ting-Yuan David
    Karanth, Shama
    Sun, Yangbo
    Saquib, Nazmus
    Pichado, Margaret
    Jung, Su Yon
    Tabung, Fred
    Summers, Scott A.
    Holland, William L.
    Jalili, Thunder
    Gunter, Marc
    Hardikar, Sheetal
    Playdon, Mary C.
    [J]. CANCER RESEARCH, 2023, 83 (07)
  • [9] Metabolic dysfunction and obesity-related cancer: Beyond obesity and metabolic syndrome
    Karra, Prasoona
    Winn, Maci
    Pauleck, Svenja
    Bulsiewicz-Jacobsen, Alicja
    Peterson, Lacie
    Coletta, Adriana
    Doherty, Jennifer
    Ulrich, Cornelia M.
    Summers, Scott A.
    Gunter, Marc
    Hardikar, Sheetal
    Playdon, Mary C.
    [J]. OBESITY, 2022, 30 (07) : 1323 - 1334
  • [10] Association of Obesity-Related Metabolic Disruptions With Cancer Risk and Outcome
    Lohmann, Ana Elisa
    Goodwin, Pamela J.
    Chlebowski, Rowan T.
    Pan, Kathy
    Stambolic, Vuk
    Dowling, Ryan J. O.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (35) : 4249 - +