Sex Differences in the Burden and Complications of Diabetes

Sanne A E Peters, Mark Woodward, Sanne A E Peters, Mark Woodward

Abstract

Purpose of the review: To review the latest evidence on sex differences in the burden and complications of diabetes and discuss the potential explanations for the sex differences described.

Recent findings: Diabetes is a strong risk factor for vascular disease, with compelling evidence that the relative risks of vascular diseases conferred by diabetes are considerably greater in women than men. The mechanisms underpinning women's excess relative risk of vascular disease from diabetes are unknown. Sex differences in the health care provided for the prevention, management, and treatment of diabetes and its complications could contribute to women's greater excess relative risks of diabetes complications. However, since the excess risk of vascular disease is not seen for other major vascular risk factors, inherent biological factors may be more likely to be involved. In addition to other cardiometabolic pathways, the sex dimorphism in body composition and fat distribution may be particularly important in explaining women's greater excess risk of the vascular complications of diabetes. There is strong evidence to suggest that diabetes is a stronger risk factor for vascular disease in women than men. Although several mechanisms may be involved, further research is needed to provide new and deeper insights into the mechanisms underpinning sex differences in the association between diabetes and vascular diseases. Such research will inform patients, health care professionals, and policy makers to ensure that women are not disproportionately affected by diabetes, and will help to reduce the burden in both sexes.

Keywords: Cardiovascular disease; Diabetes; Men; Sex differences; Women.

Conflict of interest statement

Conflict of Interest

Sanne A.E. Peters declares no conflict of interest.

Mark Woodward reports personal fees from Amgen.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Figures

Fig. 1
Fig. 1
Comparison of age-standardised prevalence of diabetes in men and women in 1980 and 2014. (Reproduced from: Lancet 2016; 387(10027): 1513–30; 10.1016/S0140-6736(16)00618-8; Creative Commons user licence https://creativecommons.org/licenses/by/4.0/) [••]
Fig. 2
Fig. 2
Results from prior meta-analyses of sex differences in the effects of diabetes on vascular outcomes, summarised through the ratios of women-to-men adjusted relative risks (and 95% confidence intervals) pooled across cohort studies
Fig. 3
Fig. 3
Results from prior meta-analyses of sex differences in the effects of diabetes on cancer, summarised through the ratios of women-to-men adjusted relative risks (RR) (and 95% confidence intervals) pooled across observational studies. The results for colorectal, liver, lung, and any cancer are from cohort studies only; the rest also include case-control studies

References

    1. International Diabetes Federation. IDF Diabetes Atlas. 8th edition ed; 2017.
    1. World Health Organization. Global action plan for the prevention and control of NCDs 2013–2020. 2013. .
    1. Schiebinger L, Klinge I, Sánchez de Madariaga I, Paik H, Schraudner M, Stefanick M. Gendered innovations in science, health & medicine, engineering, and environment. 2011-2017. (accessed 31-01-2018).
    1. Heidari S, Babor TF, de Castro P, Tort S, Curno M. Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use. Res Integr Peer Rev 2016; 1(2).
    1. Canadian Institutes of Health Research. Sex, gender and health research guide: a tool for CIHR applicants. 2018. (accessed 01-02-2018).
    1. International Diabetes Federation. World Diabetes Day 2017 to focus on women and diabetes. 2017 .
    1. •• Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;387(10027):1513–30. A landmark paper on the global trends in diabetes prevalence, in 200 countries and territories in 21 regions, by sex and from 1980 to 2014.
    1. Sarwar N, Gao P, Seshasai SR, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375(9733):2215–2222. doi: 10.1016/S0140-6736(10)60484-9.
    1. Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, Deanfield J, Smeeth L, Timmis A, Hemingway H. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1.9 million people. Lancet Diabetes Endocrinol. 2015;3(2):105–113. doi: 10.1016/S2213-8587(14)70219-0.
    1. Peters SA, Huxley RR, Woodward M. Diabetes as a risk factor for stroke in women compared with men: a systematic review and meta-analysis of 64 cohorts, including 775,385 individuals and 12,539 strokes. Lancet. 2014;383(9933):1973–1980. doi: 10.1016/S0140-6736(14)60040-4.
    1. Peters SA, Huxley RR, Woodward M. Diabetes as risk factor for incident coronary heart disease in women compared with men: a systematic review and meta-analysis of 64 cohorts including 858,507 individuals and 28,203 coronary events. Diabetologia. 2014;57(8):1542–1551. doi: 10.1007/s00125-014-3260-6.
    1. Huxley RR, Peters SA, Mishra GD, Woodward M. Risk of all-cause mortality and vascular events in women versus men with type 1 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2015;3(3):198–206. doi: 10.1016/S2213-8587(14)70248-7.
    1. Chatterjee S, Peters SA, Woodward M, Mejia Arango S, Batty GD, Beckett N, Beiser A, Borenstein AR, Crane PK, Haan M, Hassing LB, Hayden KM, Kiyohara Y, Larson EB, Li CY, Ninomiya T, Ohara T, Peters R, Russ TC, Seshadri S, Strand BH, Walker R, Xu W, Huxley RR. Type 2 diabetes as a risk factor for dementia in women compared with men: a pooled analysis of 2.3 million people comprising more than 100,000 cases of dementia. Diabetes Care. 2016;39(2):300–307.
    1. Shen Y, Cai R, Sun J, Dong X, Huang R, Tian S, Wang S. Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis. Endocrine. 2017;55(1):66–76. doi: 10.1007/s12020-016-1014-6.
    1. Woodward M, Peters SA, Huxley RR. Diabetes and the female disadvantage. Women’s Health. 2015;11(6):833–839. doi: 10.2217/whe.15.67.
    1. Mongraw-Chaffin ML, Peters SA, Huxley RR, Woodward M. The sex-specific association between BMI and coronary heart disease: a systematic review and meta-analysis of 95 cohorts with 1.2 million participants. Lancet Diabetes & Endocrinol. 2015;3(6):437–449. doi: 10.1016/S2213-8587(15)00086-8.
    1. Peters SA, Huxley RR, Woodward M. Comparison of the sex-specific associations between systolic blood pressure and the risk of cardiovascular disease: a systematic review and meta-analysis of 124 cohort studies, including 1.2 million individuals. Stroke. 2013;44(9):2394–2401. doi: 10.1161/STROKEAHA.113.001624.
    1. Peters SA, Singhateh Y, Mackay D, Huxley RR, Woodward M. Total cholesterol as a risk factor for cornary heart disease and stroke in women compared with men: a systematic review and meta-analysis. Atherosclerosis. 2016;248:123–131. doi: 10.1016/j.atherosclerosis.2016.03.016.
    1. Alegre-Diaz J, Herrington W, Lopez-Cervantes M, et al. Diabetes and cause-specific mortality in Mexico City. N Engl J Med. 2016;375(20):1961–1971. doi: 10.1056/NEJMoa1605368.
    1. Fulcher J, O'Connell R, Voysey M, et al. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet. 2015;385(9976):1397–1405. doi: 10.1016/S0140-6736(14)61368-4.
    1. Turnbull F, Woodward M, Neal B, Barzi F, Ninomiya T, Chalmers J, Perkovic V, Li N, MacMahon S, the Blood Pressure Lowering Treatment Trialists’ Collaboration Do men and women respond differently to blood pressure-lowering treatment? Results of prospectively designed overviews of randomized trials. Eur Heart J. 2008;29(21):2669–2680. doi: 10.1093/eurheartj/ehn427.
    1. Hyun KK, Redfern J, Patel A, Peiris D, Brieger D, Sullivan D, Harris M, Usherwood T, MacMahon S, Lyford M, Woodward M. Gender inequalities in cardiovascular risk factor assessment and management in primary healthcare. Heart. 2017;103(7):492–498. doi: 10.1136/heartjnl-2016-310216.
    1. Zhao M, Vaartjes I, Graham I, Grobbee D, Spiering W, Klipstein-Grobusch K, Woodward M, Peters SAE. Sex differences in risk factor management of coronary heart disease across three regions. Heart. 2017;103(20):1587–1594. doi: 10.1136/heartjnl-2017-311429.
    1. Eapen ZJ, Liang L, Shubrook JH, Bauman MA, Bufalino VJ, Bhatt DL, Peterson ED, Hernandez AF. Current quality of cardiovascular prevention for Million Hearts: an analysis of 147,038 outpatients from The Guideline Advantage. Am Heart J. 2014;168(3):398–404. doi: 10.1016/j.ahj.2014.06.007.
    1. Health and Social Care Information Centre. National diabetes audit 2012–2013 - report 1: care processes and treatment targets, 2014.
    1. Kasteleyn MJ, Wezendonk A, Vos RC, Numans ME, Jansen H, Rutten GE. Repeat prescriptions of guideline-based secondary prevention medication in patients with type 2 diabetes and previous myocardial infarction in Dutch primary care. Fam Pract. 2014;31(6):688–693. doi: 10.1093/fampra/cmu042.
    1. Kirkman MS, Rowan-Martin MT, Levin R, Fonseca VA, Schmittdiel JA, Herman WH, Aubert RE. Determinants of adherence to diabetes medications: findings from a large pharmacy claims database. Diabetes Care. 2015;38(4):604–609.
    1. Peters SA, Huxley RR, Sattar N, Woodward M. Sex differences in the excess risk of cardiovascular diseases associated with type 2 diabetes: potential explanations and clinical implications. Curr Cardiovasc Risk Rep. 2015;9(7):36. doi: 10.1007/s12170-015-0462-5.
    1. Regensteiner JG, Golden S, Huebschmann AG, et al. Sex differences in the cardiovascular consequences of diabetes mellitus: a scientific statement from the American Heart Association. Circulation. 2015;132(25):2424–2447. doi: 10.1161/CIR.0000000000000343.
    1. Donahue RP, Rejman K, Rafalson LB, Dmochowski J, Stranges S, Trevisan M. Sex differences in endothelial function markers before conversion to pre-diabetes: does the clock start ticking earlier among women? The western New York study. Diabetes Care. 2007;30(2):354–359. doi: 10.2337/dc06-1772.
    1. Wannamethee SG, Papacosta O, Lawlor DA, Whincup PH, Lowe GD, Ebrahim S, Sattar N. Do women exhibit greater differences in established and novel risk factors between diabetes and non-diabetes than men? The British Regional Heart Study and British Women’s Heart Health Study. Diabetologia. 2012;55(1):80–87. doi: 10.1007/s00125-011-2284-4.
    1. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377–96.
    1. Logue J, Walker JJ, Colhoun HM, et al. Do men develop type 2 diabetes at lower body mass indices than women? Diabetologia. 2011;54(12):3003–3006. doi: 10.1007/s00125-011-2313-3.
    1. Paul S, Thomas G, Majeed A, Khunti K, Klein K. Women develop type 2 diabetes at a higher body mass index than men. Diabetologia. 2012;55(5):1556–1557. doi: 10.1007/s00125-012-2496-2.
    1. Peters SA, Huxley RR, Woodward M. Women’s reproductive health factors and body adiposity: findings from the UK Biobank. Int J Obes. 2016;40(5):803–808. doi: 10.1038/ijo.2015.254.
    1. Sattar N. Gender aspects in type 2 diabetes mellitus and cardiometabolic risk. Best Pract Res Clin Endocrinol Metab. 2013;27(4):501–507. doi: 10.1016/j.beem.2013.05.006.
    1. Sattar N, Gill JM. Type 2 diabetes as a disease of ectopic fat? BMC Med. 2014;12:123. doi: 10.1186/s12916-014-0123-4.
    1. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, Workalemahu T, Feitosa MF, Croteau-Chonka DC, Day FR, Fall T, Ferreira T, Gustafsson S, Locke AE, Mathieson I, Scherag A, Vedantam S, Wood AR, Liang L, Steinthorsdottir V, Thorleifsson G, Dermitzakis ET, Dimas AS, Karpe F, Min JL, Nicholson G, Clegg DJ, Person T, Krohn JP, Bauer S, Buechler C, Eisinger K, DIAGRAM Consortium. Bonnefond A, Froguel P, MAGIC Investigators. Hottenga JJ, Prokopenko I, Waite LL, Harris TB, Smith AV, Shuldiner AR, McArdle WL, Caulfield MJ, Munroe PB, Grönberg H, Chen YDI, Li G, Beckmann JS, Johnson T, Thorsteinsdottir U, Teder-Laving M, Khaw KT, Wareham NJ, Zhao JH, Amin N, Oostra BA, Kraja AT, Province MA, Cupples LA, Heard-Costa NL, Kaprio J, Ripatti S, Surakka I, Collins FS, Saramies J, Tuomilehto J, Jula A, Salomaa V, Erdmann J, Hengstenberg C, Loley C, Schunkert H, Lamina C, Wichmann HE, Albrecht E, Gieger C, Hicks AA, Johansson Å, Pramstaller PP, Kathiresan S, Speliotes EK, Penninx B, Hartikainen AL, Jarvelin MR, Gyllensten U, Boomsma DI, Campbell H, Wilson JF, Chanock SJ, Farrall M, Goel A, Medina-Gomez C, Rivadeneira F, Estrada K, Uitterlinden AG, Hofman A, Zillikens MC, den Heijer M, Kiemeney LA, Maschio A, Hall P, Tyrer J, Teumer A, Völzke H, Kovacs P, Tönjes A, Mangino M, Spector TD, Hayward C, Rudan I, Hall AS, Samani NJ, Attwood AP, Sambrook JG, Hung J, Palmer LJ, Lokki ML, Sinisalo J, Boucher G, Huikuri H, Lorentzon M, Ohlsson C, Eklund N, Eriksson JG, Barlassina C, Rivolta C, Nolte IM, Snieder H, van der Klauw MM, van Vliet-Ostaptchouk JV, Gejman PV, Shi J, Jacobs KB, Wang Z, Bakker SJL, Mateo Leach I, Navis G, van der Harst P, Martin NG, Medland SE, Montgomery GW, Yang J, Chasman DI, Ridker PM, Rose LM, Lehtimäki T, Raitakari O, Absher D, Iribarren C, Basart H, Hovingh KG, Hyppönen E, Power C, Anderson D, Beilby JP, Hui J, Jolley J, Sager H, Bornstein SR, Schwarz PEH, Kristiansson K, Perola M, Lindström J, Swift AJ, Uusitupa M, Atalay M, Lakka TA, Rauramaa R, Bolton JL, Fowkes G, Fraser RM, Price JF, Fischer K, KrjutÅ¡kov K, Metspalu A, Mihailov E, Langenberg C, Luan J', Ong KK, Chines PS, Keinanen-Kiukaanniemi SM, Saaristo TE, Edkins S, Franks PW, Hallmans G, Shungin D, Morris AD, Palmer CNA, Erbel R, Moebus S, Nöthen MM, Pechlivanis S, Hveem K, Narisu N, Hamsten A, Humphries SE, Strawbridge RJ, Tremoli E, Grallert H, Thorand B, Illig T, Koenig W, Müller-Nurasyid M, Peters A, Boehm BO, Kleber ME, März W, Winkelmann BR, Kuusisto J, Laakso M, Arveiler D, Cesana G, Kuulasmaa K, Virtamo J, Yarnell JWG, Kuh D, Wong A, Lind L, de Faire U, Gigante B, Magnusson PKE, Pedersen NL, Dedoussis G, Dimitriou M, Kolovou G, Kanoni S, Stirrups K, Bonnycastle LL, Njølstad I, Wilsgaard T, Ganna A, Rehnberg E, Hingorani A, Kivimaki M, Kumari M, Assimes TL, Barroso I, Boehnke M, Borecki IB, Deloukas P, Fox CS, Frayling T, Groop LC, Haritunians T, Hunter D, Ingelsson E, Kaplan R, Mohlke KL, O'Connell JR, Schlessinger D, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, McCarthy MI, Hirschhorn JN, Qi L, Loos RJF, Lindgren CM, North KE, Heid IM. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet. 2013;9(6):e1003500. doi: 10.1371/journal.pgen.1003500.
    1. Yang L, Li L, Millwood IY, Lewington S, Guo Y, Sherliker P, Peters SA, Bian Z, Wu X, Yu M, Liu H, Wang H, Mao E, Chen J, Woodward M, Peto R, Chen Z, China Kadoorie Biobank study collaborative group (members listed at end of report) Adiposity in relation to age at menarche and other reproductive factors among 300 000 Chinese women: findings from China Kadoorie Biobank study. Int J Epidemiol. 2017;46(2):502–512.
    1. Peters SA, Woodward M. Women’s reproductive factors and incident cardiovascular disease in the UK Biobank. Heart 2018, heartjnl-2017-312289.
    1. Yang L, Li L, Millwood IY, Peters SAE, Chen Y, Guo Y, Bian Z, Chen X, Chen L, Feng S, Lv S, Pang Z, Woodward M, Chen Z, China Kadoorie Biobank study collaborative group (members listed in the acknowledgement section) Age at menarche and risk of major cardiovascular diseases: evidence of birth cohort effects from a prospective study of 300,000 Chinese women. Int J Cardiol. 2017;227:497–502. doi: 10.1016/j.ijcard.2016.10.115.
    1. Yang L, Li L, Peters SAE, Clarke R, Guo Y, Chen Y, Bian Z, Sherliker P, Yin J, Tang Z, Wang C, Wang X, Zhang L, Woodward M, Chen Z. Age at menarche and incidence of diabetes: a prospective study of 300,000 women in China. Am J Epidemiol. 2018;187(2):190–198. doi: 10.1093/aje/kwx219.
    1. Di Angelantonio E, Gao P, Khan H, et al. Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA. 2014;311(12):1225–1233. doi: 10.1001/jama.2014.1873.
    1. Bertram MY, Vos T. Quantifying the duration of pre-diabetes. Aust N Z J Public Health. 2010;34(3):311–314. doi: 10.1111/j.1753-6405.2010.00532.x.
    1. Jovanovic L, Pettitt DJ. Gestational diabetes mellitus. JAMA. 2001;286(20):2516–2518. doi: 10.1001/jama.286.20.2516.
    1. Harreiter J, Dovjak G, Kautzky-Willer A. Gestational diabetes mellitus and cardiovascular risk after pregnancy. Womens Health. 2014;10(1):91–108.
    1. Lowe WL, Jr, Scholtens DM, Sandler V, Hayes MG. Genetics of gestational diabetes mellitus and maternal metabolism. Curr Diabetes Rep. 2016;16(2):15. doi: 10.1007/s11892-015-0709-z.
    1. Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–1779. doi: 10.1016/S0140-6736(09)60731-5.
    1. Sattar N, Greer IA. Pregnancy complications and maternal cardiovascular risk: opportunities for intervention and screening? BMJ. 2002;325(7356):157–160. doi: 10.1136/bmj.325.7356.157.
    1. Kim C, Tabaei BP, Burke R, McEwen LN, Lash RW, Johnson SL, Schwartz KL, Bernstein SJ, Herman WH. Missed opportunities for type 2 diabetes mellitus screening among women with a history of gestational diabetes mellitus. Am J Public Health. 2006;96(9):1643–1648. doi: 10.2105/AJPH.2005.065722.
    1. Jaskolka D, Retnakaran R, Zinman B, Kramer CK. Sex of the baby and risk of gestational diabetes mellitus in the mother: a systematic review and meta-analysis. Diabetologia. 2015;58(11):2469–2475. doi: 10.1007/s00125-015-3726-1.
    1. Bao C, Yang X, Xu W, Luo H, Xu Z, Su C, Qi X. Diabetes mellitus and incidence and mortality of kidney cancer: a meta-analysis. J Diabetes Complicat. 2013;27(4):357–364. doi: 10.1016/j.jdiacomp.2013.01.004.
    1. Ben Q, Xu M, Ning X, Liu J, Hong S, Huang W, Zhang H, Li Z. Diabetes mellitus and risk of pancreatic cancer: a meta-analysis of cohort studies. Eur J Cancer. 2011;47(13):1928–1937. doi: 10.1016/j.ejca.2011.03.003.
    1. Ge Z, Ben Q, Qian J, Wang Y, Li Y. Diabetes mellitus and risk of gastric cancer: a systematic review and meta-analysis of observational studies. Eur J Gastroenterol Hepatol. 2011;23(12):1127–1135. doi: 10.1097/MEG.0b013e32834b8d73.
    1. Huang W, Ren H, Ben Q, Cai Q, Zhu W, Li Z. Risk of esophageal cancer in diabetes mellitus: a meta-analysis of observational studies. Cancer causes & control : CCC. 2012;23(2):263–272. doi: 10.1007/s10552-011-9874-9.
    1. Kramer HU, Schottker B, Raum E, Brenner H. Type 2 diabetes mellitus and colorectal cancer: meta-analysis on sex-specific differences. Eur J Cancer. 2012;48(9):1269–1282. doi: 10.1016/j.ejca.2011.07.010.
    1. Lee JY, Jeon I, Lee JM, Yoon JM, Park SM. Diabetes mellitus as an independent risk factor for lung cancer: a meta-analysis of observational studies. Eur J Cancer. 2013;49(10):2411–2423. doi: 10.1016/j.ejca.2013.02.025.
    1. Noto H, Tsujimoto T, Sasazuki T, Noda M. Significantly increased risk of cancer in patients with diabetes mellitus: a systematic review and meta-analysis. Endocr Pract. 2011;17(4):616–628. doi: 10.4158/EP10357.RA.
    1. Wang Y, Wang B, Yan S, Shen F, Cao H, Fan J, Zhang R, Gu J. Type 2 diabetes and gender differences in liver cancer by considering different confounding factors: a meta-analysis of cohort studies. Ann Epidemiol. 2016;26(11):764–772. doi: 10.1016/j.annepidem.2016.09.006.
    1. Zhu Z, Wang X, Shen Z, Lu Y, Zhong S, Xu C. Risk of bladder cancer in patients with diabetes mellitus: an updated meta-analysis of 36 observational studies. BMC Cancer. 2013;13:310. doi: 10.1186/1471-2407-13-310.

Source: PubMed

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