Waist circumference-years and cancer risk: a prospective study of the association and comparison of predictive performance with waist circumference and body mass index.
Journal
British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635
Informations de publication
Date de publication:
04 Oct 2024
04 Oct 2024
Historique:
received:
26
03
2024
accepted:
18
09
2024
revised:
09
09
2024
medline:
5
10
2024
pubmed:
5
10
2024
entrez:
4
10
2024
Statut:
aheadofprint
Résumé
Associations of waist circumferences (WC) and body mass index (BMI) measured once or over time, with cancer incidence were studied. WC is associated with some cancers independent of BMI. Analyses of cumulative central adiposity and cancer are lacking. We investigated associations between waist circumference-years, incorporating exposure time to WC ≥ 102 cm in men or ≥88 cm in women, and cancer, and compared this with single WC or BMI. Serial WC measurements taken over 9 years in the prospective Atherosclerosis Risk in Communities Study (ARIC) predicted yearly WC. Cox proportional hazards regression estimated hazard ratios (HRs) of cancer incidence for waist circumference-years, WC or BMI, measured in Visit 4. Harrell's C-statistic quantified metric predictive performances. 10,172 participants were followed up from Visit 4 for cancer over a median 13.7 for men and 15.8 years for women. For obesity-related cancers, HRs per standard deviation waist circumference-years were 1.14 (95%CI:1.04,1.25) and 1.19 (95%CI:1.12,1.27), respectively. Differences in metric predictive performances were marginal. This is the first study to identify positive associations between waist circumference-years and cancer. Waist circumference-years did not provide additional information on cancer risk beyond that of WC and BMI. BMI is routinely measured in clinic so it may be preferred over WC.
Sections du résumé
BACKGROUND
BACKGROUND
Associations of waist circumferences (WC) and body mass index (BMI) measured once or over time, with cancer incidence were studied. WC is associated with some cancers independent of BMI. Analyses of cumulative central adiposity and cancer are lacking. We investigated associations between waist circumference-years, incorporating exposure time to WC ≥ 102 cm in men or ≥88 cm in women, and cancer, and compared this with single WC or BMI.
METHODS
METHODS
Serial WC measurements taken over 9 years in the prospective Atherosclerosis Risk in Communities Study (ARIC) predicted yearly WC. Cox proportional hazards regression estimated hazard ratios (HRs) of cancer incidence for waist circumference-years, WC or BMI, measured in Visit 4. Harrell's C-statistic quantified metric predictive performances.
RESULTS
RESULTS
10,172 participants were followed up from Visit 4 for cancer over a median 13.7 for men and 15.8 years for women. For obesity-related cancers, HRs per standard deviation waist circumference-years were 1.14 (95%CI:1.04,1.25) and 1.19 (95%CI:1.12,1.27), respectively. Differences in metric predictive performances were marginal.
DISCUSSION
CONCLUSIONS
This is the first study to identify positive associations between waist circumference-years and cancer. Waist circumference-years did not provide additional information on cancer risk beyond that of WC and BMI. BMI is routinely measured in clinic so it may be preferred over WC.
Identifiants
pubmed: 39367274
doi: 10.1038/s41416-024-02860-y
pii: 10.1038/s41416-024-02860-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Cancer Research UK (CRUK)
ID : [C19941/A28707]
Organisme : DH | National Institute for Health Research (NIHR)
ID : IS-BRC-1215-20007
Informations de copyright
© 2024. The Author(s).
Références
Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K. Body fatness and cancer — viewpoint of the IARC working group. N Engl J Med. 2016;375:794–8.
pubmed: 27557308
pmcid: 6754861
doi: 10.1056/NEJMsr1606602
Ross R, Neeland IJ, Yamashita S, Shai I, Seidell J, Magni P, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nat Rev Endocrinol. 2020;16:177–89.
pubmed: 32020062
pmcid: 7027970
doi: 10.1038/s41574-019-0310-7
Pasco JA, Nicholson GC, Brennan SL, Kotowicz MA Prevalence of obesity and the relationship between the body mass index and body fat: cross-sectional, population-based data. PLoS One. 2012;7:e29580.
Janssen I, Shields M, Craig CL, Tremblay MS. Changes in the obesity phenotype within Canadian children and adults, 1981 to 2007-2009. Obesity. 2012;20:916–9.
pubmed: 21566567
doi: 10.1038/oby.2011.122
Kyrgiou M, Kalliala I, Markozannes G, Gunter MJ, Paraskevaidis E, Gabra H, et al. Adiposity and cancer at major anatomical sites: Umbrella review of the literature. Vol. 356, BMJ (Online). BMJ Publishing Group; 2017.
Recalde M, Davila-Batista V, Díaz Y, Leitzmann M, Romieu I, Freisling H, et al. Body mass index and waist circumference in relation to the risk of 26 types of cancer: a prospective cohort study of 3.5 million adults in Spain. BMC Med. 2021;19:1–14.
doi: 10.1186/s12916-020-01877-3
White AJ, Nichols HB, Bradshaw PT, Sandler DP. Overall and central adiposity and breast cancer risk in the sister study. Vol. 121, Cancer. NIH Public Access; 2015. p. 3700–8.
Freisling H, Arnold M, Soerjomataram I, O’Doherty MG, Ordóñez-Mena JM, Bamia C, et al. Comparison of general obesity and measures of body fat distribution in older adults in relation to cancer risk: Meta-analysis of individual participant data of seven prospective cohorts in Europe. Br J Cancer. 2017;116:1486–97.
pubmed: 28441380
pmcid: 5520086
doi: 10.1038/bjc.2017.106
Barberio AM, Alareeki A, Viner B, Pader J, Vena JE, Arora P, et al. Central body fatness is a stronger predictor of cancer risk than overall body size. Nat Commun. 2019;10:383.
Abar L, Vieira AR, Aune D, Sobiecki JG, Vingeliene S, Polemiti E, et al. Height and body fatness and colorectal cancer risk: an update of the WCRF–AICR systematic review of published prospective studies. Eur J Nutr. 2018;57:1701–20.
pubmed: 29080978
doi: 10.1007/s00394-017-1557-1
MacInnis RJ, English DR. Body size and composition and prostate cancer risk: systematic review and meta-regression analysis. Cancer Causes Control. 2006;17:989–1003.
pubmed: 16933050
doi: 10.1007/s10552-006-0049-z
Harvie M, Hooper L, Howell AH. Central obesity and breast cancer risk: a systematic review. Obes Rev. 2003;4:157–73.
pubmed: 12916817
doi: 10.1046/j.1467-789X.2003.00108.x
Aune D, Navarro Rosenblatt DA, Chan DSM, Vingeliene S, Abar L, Vieira AR, et al. Anthropometric factors and endometrial cancer risk: a systematic review and dose-response meta-analysis of prospective studies. Ann Oncol. 2015;26:1635–48.
pubmed: 25791635
doi: 10.1093/annonc/mdv142
Singh S, Sharma AN, Murad MH, Buttar NS, El-Serag HB, Katzka DA, et al. Central adiposity is associated with increased risk of esophageal inflammation, metaplasia, and adenocarcinoma: A systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2013;11:1399–1412.e7.
pubmed: 23707461
doi: 10.1016/j.cgh.2013.05.009
Lee KR, Seo MH, Do Han K, Jung J, Hwang IC. Waist circumference and risk of 23 site-specific cancers: a population-based cohort study of Korean adults. Br J Cancer. 2018;119:1018–27.
pubmed: 30327562
pmcid: 6203821
doi: 10.1038/s41416-018-0214-7
Tuomela J, Kaprio J, Sipilä PN, Silventoinen K, Wang X, Ollikainen M, et al. Accuracy of self-reported anthropometric measures-Findings from the Finnish Twin Study. Obes Res Clin Pr. 2019;13:522–8.
doi: 10.1016/j.orcp.2019.10.006
Ascaso JF, Romero P, Real JT, Lorente RI, Martínez-Valls J, Carmena R. Abdominal obesity, insulin resistance, and metabolic syndrome in a southern European population. Eur J Intern Med. 2003;14:101–6.
pubmed: 12719027
doi: 10.1016/S0953-6205(03)00022-0
Tabata S, Yoshimitsu S, Hamachi T, Abe H, Ohnaka K, Kono S. Waist circumference and insulin resistance: a cross-sectional study of Japanese men. BMC Endocr Disord. 2009;9:1.
pubmed: 19138424
pmcid: 2635363
doi: 10.1186/1472-6823-9-1
Crudele L, Piccinin E, Moschetta A. Visceral adiposity and cancer: Role in pathogenesis and prognosis. Vol. 13, Nutrients. Multidisciplinary Digital Publishing Institute (MDPI); 2021.
Hawwash NK, Sperrin M, Martin GP, Joshu CE, Florido R, Platz EA, et al. Overweight-years and cancer risk: a prospective study of the association and comparison of predictive performance with body mass index (atherosclerosis risk in communities study). Int J Cancer. 2023;154;1556–68.
PLCO-752: Adolescent and adulthood BMI And Cancer risk using obese-year metrics: … - Approved Projects - The Cancer Data Access System [Accessed 2022 Apr 3]. Available from: https://cdas.cancer.gov/approved-projects/2950/ .
Wright JD, Folsom AR, Coresh J, Sharrett AR, Couper D, Wagenknecht LE, et al. The ARIC (Atherosclerosis Risk In Communities) Study: JACC Focus Seminar 3/8. J Am Coll Cardiol J Am Coll Cardiol. 2021;77:2939–59.
pubmed: 34112321
doi: 10.1016/j.jacc.2021.04.035
Joshu CE, Barber JR, Coresh J, Couper DJ, Mosley TH, Vitolins MZ, et al. Enhancing the infrastructure of the atherosclerosis risk in Communities (ARIC) study for cancer epidemiology research: Aric cancer. Cancer Epidemiol Biomark Prev. 2018;27:295–305.
doi: 10.1158/1055-9965.EPI-17-0696
Wood AM, Jonsson H, Nagel G, Häggström C, Manjer J, Ulmer H, et al. The inverse association of body mass index with lung cancer: exploring residual confounding, metabolic aberrations and within-person variability in smoking. Cancer Epidemiol Biomark Prev. 2021;30:1489–97.
doi: 10.1158/1055-9965.EPI-21-0058
Ferrario M, Carpenter MA, Chambless LE. Reliability of body fat distribution measurements. The ARIC study baseline cohort results. Int J Obes. 1995;19:449–57.
Riley RD, Ensor J, Snell KIE, Harrell FE, Martin GP, Reitsma JB, et al. Calculating the sample size required for developing a clinical prediction model. BMJ. 202018;368.
Morgan CJ. Landmark analysis: A primer. J Nucl Cardiol. 2019;26:391–3.
pubmed: 30719655
doi: 10.1007/s12350-019-01624-z
Campion WM, Rubin DB. Multiple Imputation for Nonresponse in Surveys. Rubin DB, editor. J Mark Res. 1989;26:485.
Lean MEJ, Han TS, Morrison CE. Waist circumference as a measure for indicating need for weight management. BMJ. 1995;311:158.
pubmed: 7613427
pmcid: 2550221
doi: 10.1136/bmj.311.6998.158
Yu D, Zheng W, Johansson M, Lan Q, Park Y, White E, et al. Overall and central obesity and risk of lung cancer: a pooled analysis. J Natl Cancer Inst. 2018;110:831–42.
pubmed: 29518203
pmcid: 6093439
doi: 10.1093/jnci/djx286
Aref AT, Vincent AD, O’Callaghan ME, Martin SA, Sutherland PD, Hoy AJ, et al. The inverse relationship between prostate specific antigen (PSA) and obesity. Endocr Relat Cancer. 2018;25:933–41.
pubmed: 29941675
doi: 10.1530/ERC-17-0438
Reis JP, Allen N, Gunderson EP, Lee JM, Lewis CE, Loria CM, et al. Excess body mass index- and waist circumference-years and incident cardiovascular disease: The CARDIA study. Obesity. 2015;23:879–85.
pubmed: 25755157
doi: 10.1002/oby.21023
Henry L, Wickham H. purrr: Functional Programming Tools [Accessed 2021 Nov 15]. 2020. Available from: https://cran.r-project.org/package=purrr .
Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67.
Bache SM, Wickham H. magrittr: A Forward-Pipe Operator for R [Accessed 2021 Nov 15]. 2020. Available from: https://cran.r-project.org/package=magrittr .
Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the Tidyverse. J Open Source Softw. 2019;4:1686.
doi: 10.21105/joss.01686
Wickham H, Miller E. haven: Import and Export “SPSS”, “Stata” and “SAS” Files [Accessed 2021 Nov 15]. 2021. Available from: https://cran.r-project.org/package=haven .
Therneau TM. A Package for Survival Analysis in R [Accessed 2021 Nov 15]. 2021. Available from: https://cran.r-project.org/package=survival .
Long JA interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions [Accessed 2021 Nov 15]. 2019. Available from: https://cran.r-project.org/package=interactions .
Harrell Jr FE. rms: Regression Modeling Strategies [Accessed 2021 Nov 15]. 2022. Available from: https://cran.r-project.org/package=rms .
Wickham H. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York; 2016.
Kassambara A, Kosinski M, Biecek P. survminer: Drawing Survival Curves using “ggplot2” [Accessed 2021 Nov 15]. 2021. Available from: https://cran.r-project.org/package=survminer .
Grolemund G, Wickham H. Dates and Times Made Easy with {lubridate}. J Stat Softw. 2011;40:1–25.
doi: 10.18637/jss.v040.i03
Kassambara A. ggpubr: “ggplot2” Based Publication Ready Plots [Accessed 2022 Jan 5]. 2020. Available from: https://cran.r-project.org/web/packages/ggpubr/index.html .
Sarkar D. Lattice: Multivariate Data Visualization with R. New York: Springer; 2008.
Heinzen E, Sinnwell J, Atkinson E, Gunderson T, Dougherty G arsenal: An Arsenal of “R” Functions for Large-Scale Statistical Summaries [Accessed 2022 Jan 5]. 2021. Available from: https://cran.r-project.org/package=arsenal .
Harrell Jr FE. Hmisc: Harrell Miscellaneous [Accessed 2022 Jan 5]. 2022. Available from: https://cran.r-project.org/package=Hmisc .
Zhu H. kableExtra: Construct Complex Table with “kable” and Pipe Syntax [Accessed 2022 Jan 5]. 2021. Available from: https://cran.r-project.org/package=kableExtra .
Sjoberg DD, Whiting K, Curry M, Lavery JA, Larmarange J. Reproducible Summary Tables with the gtsummary Package. R J. 2021;13:570–80.
doi: 10.32614/RJ-2021-053
R Core Team. R: A language and environment for statistical computing [Accessed 2021 Nov 15]. 2021. Available from: https://www.r-project.org/ .
Croissant Y, Graves S. Ecdat: Data Sets for Econometrics [Accessed 2022 Jan 5]. 2020. Available from: https://cran.r-project.org/package=Ecdat .
Kaplan J. R Markdown. In: A Criminologist’s Guide to R. 2022. p. 77–92.
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61:344–9.
doi: 10.1016/j.jclinepi.2007.11.008
Fang Z, Giovannucci EL. The timing of adiposity and changes in the life course on the risk of cancer. Cancer Metastasis Rev. 2022;41:471–89.
pubmed: 35908000
doi: 10.1007/s10555-022-10054-2
Moore LL, Bradlee ML, Singer MR, Splansky GL, Proctor MH, Ellison RC, et al. BMI and waist circumference as predictors of lifetime colon cancer risk in Framingham Study adults. Int J Obes. 2004;28:559–67.
doi: 10.1038/sj.ijo.0802606
Genkinger JM, Spiegelman D, Anderson KE, Bernstein L, Van Den Brandt PA, Calle EE, et al. A pooled analysis of 14 cohort studies of anthropometric factors and pancreatic cancer risk. Int J Cancer. 2011;129:1708–17.
pubmed: 21105029
pmcid: 3073156
doi: 10.1002/ijc.25794
Arslan AA, Helzlsouer KJ, Kooperberg C, Shu XO, Steplowski E, Bueno-De-Mesquita HB, et al. Anthropometric measures, body mass index, and pancreatic cancer: A pooled analysis from the pancreatic cancer cohort consortium (PanScan). Arch Intern Med. 2010;170:791–802.
pubmed: 20458087
pmcid: 2920035
doi: 10.1001/archinternmed.2010.63
Pischon T, Lahmann PH, Boeing H, Tjønneland A, Halkjær J, Overvad K, et al. Body size and risk of renal cell carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC). Int J Cancer. 2006;118:728–38.
pubmed: 16094628
doi: 10.1002/ijc.21398
Nam GE, Cho KH, Han K, Kim CM, Han B, Cho SJ, et al. Obesity, abdominal obesity and subsequent risk of kidney cancer: a cohort study of 23.3 million East Asians. Br J Cancer. 2019;121:271–7.
pubmed: 31231120
pmcid: 6738324
doi: 10.1038/s41416-019-0500-z
Tzelves L, Xenou D, Skolarikos A, Varkarakis I, Deliveliotis C, Terpos E, et al. Association of obesity and other anthropometric characteristics with bladder cancer risk: A systematic review and meta-analysis of longitudinal cohort studies. J B U. 2021;26:1040–55.
Morris RW, Taylor AE, Fluharty ME, Bjørngaard JH, Åsvold BO, Gabrielsen ME, et al. Heavier smoking may lead to a relative increase in waist circumference: Evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortium. BMJ Open. 2015;5:e008808.
pubmed: 26416512
pmcid: 4538266
doi: 10.1136/bmjopen-2015-008808
Cena H, Fonte ML, Turconi G. Relationship between smoking and metabolic syndrome. Nutr Rev Nutr Rev. 2011;69:745–53.
pubmed: 22133198
doi: 10.1111/j.1753-4887.2011.00446.x
Hidayat K, Du X, Chen G, Shi M, Shi B. Abdominal obesity and lung cancer risk: Systematic review and meta-analysis of prospective studies. Nutrients. 2016;8:810.
pubmed: 27983672
pmcid: 5188465
doi: 10.3390/nu8120810
Jochems SHJ, Wood AM, Häggström C, Orho-Melander M, Stattin P, Stocks T. Waist circumference and a body shape index and prostate cancer risk and mortality. Cancer Med. 2021;10:2885–96.
pubmed: 33710775
pmcid: 8026929
doi: 10.1002/cam4.3827
Baumeister SE, Schlecht I, Trabert B, Nolde M, Meisinger C, Leitzmann MF. Anthropometric risk factors for ovarian cancer in the NIH-AARP Diet and Health Study. Cancer Causes Control. 2021;32:231–9.
pubmed: 33481137
pmcid: 7870624
doi: 10.1007/s10552-020-01377-y
Zhang Q, Wang Y. Trends in the association between obesity and socioeconomic status in U.S. adults: 1971 to 2000. Obes Res. 2004;12:1622–32.
pubmed: 15536226
doi: 10.1038/oby.2004.202
Zameni F, Bakhtiyari M, Mansournia MA, Ramezankhani A, Azizi F, Hadaegh F. Is incident type 2 diabetes associated with cumulative excess weight and abdominal adiposity? Tehran Lipid and Glucose Study. Diabetes Res Clin Pr. 2018;136:134–42.
doi: 10.1016/j.diabres.2017.12.002
Kabootari M, Asgari S, Mansournia MA, Khalili D, Valizadeh M, Azizi F, et al. Different weight histories and risk of incident coronary heart disease and stroke: Tehran lipid and glucose study. J Am Heart Assoc. 2018;7:e006924.
Verweij LM, Terwee CB, Proper KI, Hulshof CT, Mechelen WV. Measurement error of waist circumference: Gaps in knowledge. Public Health Nutr. 2013;16:281–8.
pubmed: 22626254
doi: 10.1017/S1368980012002741
Hawwash N, Martin G, Sperrin M, Renehan A. Adolescent and adulthood BMI And Cancer risk using obese-year metrics (ABACus 2) [Accessed 2021 Dec 12]. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=238270 .