- 1Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
- 2Cardiovascular Translational Research Center, University of South Carolina School of Medicine, University of South Carolina, Columbia, SC, United States
- 3Department of Pharmacology, Physiology, and Neuroscience, School of Medicine, University of South Carolina, Columbia, SC, United States
Premenopausal women generally have a favorable cardiovascular risk profile, owing to young age and the protective effects of estrogen. Rates of hypertension and more advanced cardiovascular disease (CVD) are low in premenopausal women. A large body of epidemiological evidence has shown that lifestyle behaviors in midlife, i.e., cardiorespiratory fitness, physical activity, and healthy diet, are associated with lower risk of overt CVD and adverse cardiovascular outcomes in the future for men and women. Despite differences in future cardiovascular risk, brachial blood pressures might be similar between premenopausal women with favorable vs. unfavorable levels of lifestyle behaviors in early-to-mid-life. Here we make the case for deeper phenotyping by means of vascular function measurements, such as arterial stiffness, augmentation index, and endothelial function, to identify potential mechanistic pathways linking lifestyle behaviors in early-to-mid-adulthood with lifelong CVD risk in women. We describe considerations for vascular function measurement in premenopausal women and opportunities for investigators to fill in knowledge gaps to further our understanding of CVD risk assessment and CVD progression in premenopausal women.
Introduction
Lifestyle interventions sometimes do not elicit significant improvements in brachial blood pressure (BP) in premenopausal women (1, 2). Reasons for the lack of improvement in BP or other traditional cardiovascular disease (CVD) risk factors after behavioral interventions are typically attributed to the general good cardiovascular health of premenopausal women due to younger age and protective effects of ovarian hormones (3). Despite the occasionally null or small effect on some traditional CVD risk factors, i.e., BP, lipids, and body mass index (BMI), following some interventions, lifestyle behaviors in young and middle adulthood have been consistently associated with CVD and traditional CVD risk factors later in life (4–6). In fact, improving any lifestyle behavior or CVD risk factor during adulthood has been linked to lower likelihood of subclinical atherosclerosis in middle age, underscoring the importance of lifestyle for longer-term CVD risk (7).
We propose that more sensitive measures of vascular structure and function are needed to understand how lifestyle influences CVD risk and better evaluate the effects of lifestyle behaviors and lifestyle interventions in premenopausal women. Some studies that employed more sensitive vascular measurements pre- and post- exercise intervention, such as central BP, arterial stiffness and distensibility, carotid intima-media thickness, or ventricular-vascular coupling, reported improvements in some of these measures while brachial BP stayed the same (1, 2, 8–11). Interestingly, changes in different vascular measurements were detected after different types of exercise training (indoor cycling, endurance, or circuit style resistance training), suggesting that subclinical vascular adaptations to exercise might be modality specific. These data illustrate the need for more thorough vascular characterization in larger samples of premenopausal women after different types of exercise interventions (1, 2, 8–11). Effects of endogenous and exogenous ovarian hormones should also be evaluated or accounted for, as some hormones have been linked to vascular structure and function and CVD risk (Table 1) and can be measured in clinic and research settings.
Rationale for Collection of Sensitive Measurements of Vascular Structure and Function in Lifestyle Interventions
Ascertainment of hard outcomes, i.e., cardiovascular events, morbidity, and mortality, can guide clinical decision making and are used for evaluation of intervention success (24). However, trials designed with such hard outcomes as endpoints require significant time and resources. Other major clinical trials have used traditional CVD risk factors as endpoints (25, 26). Utilizing more proximal outcomes that are on the pathway toward hard outcomes and traditional CVD risk factors, such as less favorable vascular structure and function, as endpoints is attractive (24, 27). Trials designed with these proximal outcomes as endpoints may reduce the numbers of participants required, length of follow-up, and costs of the trial (24). Furthermore, more proximal outcomes, like some measures of vascular structure, and function, might be more malleable to change in response to lifestyle interventions than traditional CVD risk factors and used to gauge the success or potential for such interventions to interrupt the progression toward CVD risk factors or overt CVD (24, 27). The tracking of vascular functional measurements might be particularly important for younger women because there may be abnormalities in these measurements even when CVD risk factors are at normal levels.
With the exception of coronary artery calcium, the value of novel or subclinical CVD risk factors, such as poor endothelial function (measured using flow-mediated dilation), systemic inflammation (c-reactive protein), and ankle-brachial index, beyond traditional CVD risk factors for identifying individuals at high-risk for atherosclerotic CVD endpoints has not been consistently supported (28, 29). However, unlike the Framingham Risk Score used in earlier studies, more recently developed risk prediction algorithms for atherosclerotic CVD include race and/or inflammation to estimate CVD risk in women (30, 31). Guidance from the Pooled Cohort working group suggested that, although the utility of c-reactive protein for assessing CVD risk requires further study and was not included in the primary algorithm, clinicians may consider c-reactive protein levels to guide preventive strategies if a risk-score based treatment decision is unclear (30).
Importantly, the atherosclerotic CVD risk prediction models were calibrated to identify patients at risk for atherosclerotic, but not myocardial, CVD (30). A new risk prediction model calibrated to detect heart failure with preserved ejection fraction (HEFpEF; a myocardial disease), which occurs more frequently in women, is distinct from the atherosclerotic models in that it includes BMI and QRS interval in its algorithm (32). High BMI is a strong risk factor for HEFpEF in women (5). Further, BMI is consistently linked to vascular structure and function throughout the lifespan (33, 34), and the increased rate of aortic stiffening seen in obese adults in a community-based sample was partially attributed to systemic inflammation (33). Thus, the use of sensitive vascular-related measurements that have been related to vascular structure and physiological function, such as c-reactive protein, endothelial function, or arterial stiffness, as trial endpoints that might help reclassify women at intermediate risk for HEFpEF holds promise.
Considerations for Data Collection in Premenopausal Women
There are challenges associated with collection of vascular function data in premenopausal women. Premenopausal women experience cycling of reproductive hormones, which affect some vascular function measurements, summarized in Table 1 (35). Estrogen and progesterone have dilating and anti-constricting vascular effects, respectively (3). One study reported lower brachial and central BP and higher vascular reactivity, measured using brachial artery flow-mediated dilation and calf and forearm reactive hyperemia, during the late follicular phase of menstrual cycle, i.e., days 7–14, that immediately precede ovulation and are characterized by a rapid rise in estrogen (12). Augmented brachial flow-mediated dilation and endothelium-independent dilation, assessed by determining dilation in response to sodium nitroprusside, were also observed during the late follicular phase of menstrual cycle in a prior study (13). In contrast, three more recent studies found there was no change in brachial flow-mediated dilation across phases of the menstrual cycle at rest (14, 15) or during handgrip exercise (16). More studies are needed in larger samples and diverse women to clarify the issue; earlier studies either did not report race or reported mostly Caucasian participants with mean BMI under 30 kg/m2. Augmentation index has been shown to be lower in the late luteal phase when progesterone is at its highest and estrogen is above the levels found in the early follicular phase (17). Beta-stiffness of the carotid artery and central pulse wave velocity were similar throughout the natural menstrual cycle in a recent study that included 33 women (18).
Use of oral contraceptive pills (OCP) might further complicate vascular assessment in premenopausal women and requires thoughtful consideration. While arterial stiffness was similar in women who do and do not use OCP, brachial and central BPs were higher during the non-placebo phases of the pill cycle in women who use OCP (15, 18, 19). Accordingly, the current standard is to account for phase of menstrual cycle or conduct all vascular assessment in the early follicular phase, i.e., days 1–7, when all reproductive hormones are at their lowest points (35, 36). This practice aims to standardize hormone levels, even in women who use cyclic OCP. However, there are multiple hormone preparations on the market, and little is known about how type and duration of OCP use influences measures of vascular function. Thus, further studies and thoughtfully collected data related to these topics are needed.
Premenopausal women may also become pregnant. Pregnancy is associated with profound cardiovascular changes in women, and pregnancy-related pathologies, such as hypertensive disorders of pregnancy, intrauterine growth restriction, and preterm birth, are associated with excess lifelong CVD risk (37). Given that BP tends to go back to the normotensive range, even after hypertensive disorders of pregnancy, and that preterm birth or intrauterine growth restriction can occur even when the mother is normotensive throughout pregnancy, BP alone might not identify women who are progressing toward CVD after an adverse pregnancy outcome (37). More sensitive measures of vascular function are warranted during and after pregnancy (38).
Best practices for collecting vascular structure and function measurements during reproduction have not been established. The current recommendations for assessment of vascular function in non-pregnant adults require an overnight fast preceding testing and specify that vascular testing should be performed with the participant in the supine position (36, 39). A lengthy fast might be an unreasonable request for a pregnant or breastfeeding woman, as pregnancy and breastfeeding are associated with heightened energy needs for the mother or baby. Further, maintaining blood sugar is important for promoting fetal growth, and morning sickness can be exacerbated by low blood sugar.
Pregnant women are advised to avoid lying supine to prevent the weight of the baby and uterus from compressing the vena cava. Lying supine for a 30–45 min testing session past the first trimester would not be acceptable for fetal health and might cause a drop in maternal BP. We propose the use of a reclining, padded table set at a standard 45° angle and conducting testing 1–2 h after a light meal that is low in vasoactive saturated fat and refined carbohydrates (40). The reproducibility of vascular function measurements in pregnant and breastfeeding women using these proposed methods has not yet been rigorously evaluated.
Subfertility in Reproductive Aged Women and Vascular Structure and Function
Early menopause and conditions related to subfertility have also been associated with higher risk of overt CVD in women (41, 42). Anti-Müllerian hormone (AMH), a biomarker of ovarian reserve, is an established indicator of menopausal onset, and longitudinal data demonstrated that lower baseline and rapidly declining levels of AMH were individually associated with higher risks of CVD and coronary heart disease in women (41). Primary ovarian insufficiency (POI) is a form of early menopause that develops before the age of 40, is characterized by low AMH levels, high follicle stimulating hormone levels, amenorrhea, and hypoestrogenism, and is causally related to higher CVD risk in affected women (42). Women diagnosed with POI achieved fewer pregnancies and exhibited unfavorable lipid profiles and hypertension, and yet they exhibited similar coronary artery calcium scores compared to unaffected controls (42, 43). However, an inverse relationship between AMH levels and femoral and carotid intima-media thickness has been described in women with POI (20). There is little information regarding lifestyle behavior and subclinical atherosclerosis in women with POI.
Women diagnosed with polycystic ovarian syndrome (PCOS), an endocrine disorder characterized by high AMH levels, hyperinsulinemia, amenorrhea or oligomenorrhea, and hyperandrogenism, also present with unfavorable lipid profiles, hypertension, subfertility, higher fasting insulin levels and arterial stiffness, and have a higher risk for developing CVD (21, 44). Studies have shown that carotid intima-media thickness is higher in women with PCOS compared to age and BMI-matched controls, thus it may be a useful measurement for defining subclinical atherosclerotic progression and may serve as an outcome for lifestyle interventions in this population (22). A clinical trial investigated the effect of metformin on vascular function in women with PCOS and found that arterial stiffness, augmentation index, and endothelial function were all improved after a 12-week course of metformin (23). As lifestyle modification has been shown to be more effective than metformin for preventing cardiometabolic disease in middle aged adults (26), future lifestyle interventions in younger women with PCOS should also test for changes in vascular function.
Discussion and Summary of Research Needs
Given their generally healthy traditional CVD risk factor profile, sensitive assessments of vascular structure and function are needed to evaluate the success of lifestyle interventions in premenopausal women. Our understanding of CVD development and progression is lacking in women. Tracking changes in vascular function in response to lifestyle interventions, as well as evaluating associations of vascular structure and function with easily measured sex-specific biomarkers, will critically inform preventive and treatment strategies and risk stratification in women. Cycling hormone levels, OCP use, pregnancy and breastfeeding, and conditions linked to subfertility present challenges to achieving reproducible vascular measurements in premenopausal women and/or caveats for the application of findings of smaller studies. Rather than ignoring potentially important factors related to ovarian hormone levels or excluding women from studies, we suggest that investigators carefully consider these variables when planning research and systematically fill in the knowledge gap. Our specific recommendations for research are as follows:
• Sensitive measures of vascular structure and function should be included in clinical trials involving different types of lifestyle behaviors, i.e., resistance interval and endurance exercise training, weight loss, in premenopausal women.
• Studies should account for the menstrual cycle phase and perform vascular data collection during the early follicular phase when possible.
• Investigators should gather information regarding type and length of oral contraceptive use to use in main analyses or sensitivity analyses.
• Vascular measurement protocols for data collection during pregnancy and post-partum, including meal timing and body posture, must be developed and standardized.
• More lifestyle-based clinical trials should be conducted in women with POI and PCOS to better understand the role of lifestyle in mitigating the excess CVD risk observed with these conditions.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Author Contributions
AL-C and SB drafted the manuscript, prepared the table, and critically edited the manuscript. All authors contributed to the article and approved the submitted version.
Funding
AL-C receives funding from the American Heart Association, 18CDA34110038.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1. Lane D, Yan H, Ranadive SM, Kappus RM, Sun P, Cook MD, et al. Sex differences in ventricular-vascular coupling following endurance training. Eur J Appl Physiol. (2014) 114:2597–606. doi: 10.1007/s00421-014-2981-z
2. Ranadive SM, Yan H, Lane AD, Kappus RM, Cook MD, Sun P, et al. Aerobic exercise training and arterial changes in African Americans versus caucasians. Med Sci Sports Exerc. (2016) 48:90–7. doi: 10.1249/MSS.0000000000000742
3. Xing D, Nozell S, Chen YF, Hage F, Oparil S. Estrogen and mechanisms of vascular protection. Arterioscler Thromb Vasc Biol. (2009) 29:289–95. doi: 10.1161/ATVBAHA.108.182279
4. Mattioli V, Coppi F, Migaldi M, Scicchitano P, Ciccone MM, Farinetti A. Relationship between Mediterranean diet and asymptomatic peripheral arterial disease in a population of pre-menopausal women. Nutr Metab Cardiovasc Dis. (2017) 27:985–90. doi: 10.1016/j.numecd.2017.09.011
5. Pandey A, LaMonte M, Klein L, Ayers C, Psaty BM, Eaton CB, et al. Relationship between physical activity, body mass index, and risk of heart failure. J Am Coll Cardiol. (2017) 69:1129–42. doi: 10.1016/j.jacc.2016.11.081
6. Whitaker KM, Pettee Gabriel K, Buman MP, Pereira MA, Jacobs DR Jr, Reis JP, et al. Associations of accelerometer-measured sedentary time and physical activity with prospectively assessed cardiometabolic risk factors: the CARDIA study. J Am Heart Assoc. (2019) 8:e010212. doi: 10.1161/JAHA.118.010212
7. Spring B, Moller AC, Colangelo LA, Siddique J, Roehrig M, Daviglus ML, et al. Healthy lifestyle change and subclinical atherosclerosis in young adults: coronary artery risk development in young adults (CARDIA) study. Circulation. (2014) 130:10–7. doi: 10.1161/CIRCULATIONAHA.113.005445
8. Bjarnegard N, Hedman K, Lanne T. Vascular adaptation to indoor cycling exercise in premenopausal women. Int J Sports Med. (2019) 40:245–52. doi: 10.1055/a-0800-1640
9. Franklin NC, Robinson AT, Bian JT, Ali MM, Norkeviciute E, McGinty P, et al. Circuit resistance training attenuates acute exertion-induced reductions in arterial function but not inflammation in obese women. Metab Syndr Relat Disord. (2015) 13:227–34. doi: 10.1089/met.2014.0135
10. Okamoto T, Masuhara M, Ikuta K. Home-based resistance training improves arterial stiffness in healthy premenopausal women. Eur J Appl Physiol. (2009) 107:113–7. doi: 10.1007/s00421-009-1102-x
11. Yoshizawa M, Maeda S, Miyaki A, Misono M, Saito Y, Tanabe K, et al. Effect of 12 weeks of moderate-intensity resistance training on arterial stiffness: a randomised controlled trial in women aged 32-59 years. Br J Sports Med. (2009) 43:615–8. doi: 10.1136/bjsm.2008.052126
12. Adkisson J, Casey DP, Beck DT, Gurovich AN, Martin JS, Braith WR. Central, peripheral and resistance arterial reactivity: fluctuates during the phases of the menstrual cycle. Exp Biol Med. (2010) 235:111–8. doi: 10.1258/ebm.2009.009186
13. Williams MR, Westerman RA, Kingwell BA, Paige J, Blombery PA, Sudhir K, et al. Variations in endothelial function and arterial compliance during the menstrual cycle. J Clin Endocrinol Metab. (2001) 86:5389–95. doi: 10.1210/jcem.86.11.8013
14. Saxena R, Seely EW, Goldfine BA. Cardiovascular risk factors and menstrual cycle phase in pre-menopausal women. J Endocrinol Invest. (2012) 35:715–9. doi: 10.3275/7977
15. Shenouda N, Priest SE, Rizzuto VI, MacDonald JM. Brachial artery endothelial function is stable across a menstrual and oral contraceptive pill cycle but lower in premenopausal women than in age-matched men. Am J Physiol Heart Circ Physiol. (2018) 315:H366–74. doi: 10.1152/ajpheart.00102.2018
16. D'Urzo KA, King TJ, Williams JS, Silvester MD, Pyke EK. The impact of menstrual phase on brachial artery flow-mediated dilatation during handgrip exercise in healthy premenopausal women. Exp Physiol. (2018) 103:291–302. doi: 10.1113/EP086311
17. Robb O, Mills NL, Din JN, Smith IB, Paterson F, Newby DE, et al. Influence of the menstrual cycle, pregnancy, and preeclampsia on arterial stiffness. Hypertension. (2009) 53:952–8. doi: 10.1161/HYPERTENSIONAHA.109.130898
18. Priest SE, Shenouda N, MacDonald JM. Effect of sex, menstrual cycle phase, and monophasic oral contraceptive pill use on local and central arterial stiffness in young adults. Am J Physiol Heart Circ Physiol. (2018) 315:H357–65. doi: 10.1152/ajpheart.00039.2018
19. Yu A, Giannone T, Scheffler P, Doonan RJ, Egiziano G, Gomez YH, et al. The effect of oral contraceptive pills and the natural menstrual cYCLe on arterial stiffness and hemodynamICs (CYCLIC). J Hypertens. (2014) 32:100–7. doi: 10.1097/HJH.0000000000000012
20. Lambrinoudaki I, Stergiotis S, Chatzivasileiou P, Augoulea A, Anagnostis P, Armeni E, et al. Anti-Mullerian hormone concentrations are inversely associated with subclinical atherosclerosis in premenopausal women. Angiology. (2020) 71:552–8. doi: 10.1177/0003319720914493
21. Ketel J, Stehouwer CD, Henry RM, Serne EH, Hompes P, Homburg R, et al. Greater arterial stiffness in polycystic ovary syndrome (PCOS) is an obesity–but not a PCOS-associated phenomenon. J Clin Endocrinol Metab. (2010) 95:4566–75. doi: 10.1210/jc.2010-0868
22. Jabbour R, Ott J, Eppel W, Frigo P. Carotid intima-media thickness in polycystic ovary syndrome and its association with hormone and lipid profiles. PLoS ONE. (2020) 15:e0232299 doi: 10.1371/journal.pone.0232299
23. Agarwal N, Rice SP, Bolusani H, Luzio SD, Dunseath G, Ludgate M, et al. Metformin reduces arterial stiffness and improves endothelial function in young women with polycystic ovary syndrome: a randomized, placebo-controlled, crossover trial. J Clin Endocrinol Metab. (2010) 95:722–30. doi: 10.1210/jc.2009-1985
24. DeMets L, Psaty BM, Fleming RT. When can intermediate outcomes be used as surrogate outcomes? JAMA. (2020) 323:1184–5. doi: 10.1001/jama.2020.1176
25. Morss GM, Jordan AN, Skinner JS, Dunn AL, Church TS, Earnest CP, et al. Dose response to exercise in women aged 45-75 yr (DREW): design and rationale. Med Sci Sports Exerc. (2004) 36:336–44. doi: 10.1249/01.MSS.0000113738.06267.E5
26. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. (2002) 346:393–403. doi: 10.1056/NEJMoa012512
27. Kaess M, Rong J, Larson MG, Hamburg NM, Vita JA, Levy D, et al. Aortic stiffness, blood pressure progression, incident hypertension. JAMA. (2012) 308:875–81. doi: 10.1001/2012.jama.10503
28. Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O'Leary D, et al. Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. JAMA. (2012) 308:788–95. doi: 10.1001/jama.2012.9624
29. Yeboah J, Young R, McClelland RL, Delaney JC, Polonsky TS, Dawood FZ, et al. Utility of nontraditional risk markers in atherosclerotic cardiovascular disease risk assessment. J Am Coll Cardiol. (2016) 67:139–47. doi: 10.1016/j.jacc.2015.10.058
30. Goff C Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American college of cardiology/American heart association task force on practice guidelines. Circulation. (2014) 129(25 Suppl. 2):S49–73. doi: 10.1161/01.cir.0000437741.48606.98
31. Ridker PM, Buring JE, Rifai N, Cook RN. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds risk score. JAMA. (2007) 297:611–9. doi: 10.1001/jama.297.6.611
32. Khan SS, Ning H, Shah SJ, Yancy CW, Carnethon M, Berry JD, et al. 10-year risk equations for incident heart failure in the general population. J Am Coll Cardiol. (2019) 73:2388–97. doi: 10.1016/j.jacc.2019.02.057
33. Brunner J, Shipley MJ, Ahmadi-Abhari S, Tabak AG, McEniery CM, Wilkinson IB, et al. Adiposity, obesity, and arterial aging: longitudinal study of aortic stiffness in the Whitehall II cohort. Hypertension. (2015) 66:294–300. doi: 10.1161/HYPERTENSIONAHA.115.05494
34. Kolade OO, O'Moore-Sullivan TM, Stowasser M, Coombes JS, Fassett RG, Marwick TH, et al. Arterial stiffness, central blood pressure and body size in health and disease. Int J Obes. (2012) 36:93–9. doi: 10.1038/ijo.2011.79
35. Mihm M, Gangooly S, Muttukrishna S. The normal menstrual cycle in women. Anim Reprod Sci. (2011) 124:229–36. doi: 10.1016/j.anireprosci.2010.08.030
36. Townsend RR, Wilkinson IB, Schiffrin EL, Avolio AP, Chirinos JA, Cockcroft JR, et al. Recommendations for Improving and standardizing vascular research on arterial stiffness: a scientific statement from the American heart association. Hypertension. (2015) 66:698–722. doi: 10.1161/HYP.0000000000000033
37. Lane-Cordova D, Khan SS, Grobman WA, Greenland P, Shah JS. Long-term cardiovascular risks associated with adverse pregnancy outcomes: JACC review topic of the week. J Am Coll Cardiol. (2019) 73:2106–16. doi: 10.1016/j.jacc.2018.12.092
38. Valente M, Bhatt DL, Lane-Cordova A. Pregnancy as a cardiac stress test: time to include obstetric history in cardiac risk assessment? J Am Coll Cardiol. (2020) 76:68–71. doi: 10.1016/j.jacc.2020.05.017
39. Stone K, Fryer S, Kelsch E, Burnet K, Zieff G, Faulkner J, et al. Validity and reliability of lower-limb pulse-wave velocity assessments using an oscillometric technique. Exp Physiol. (2019) 104:765–74. doi: 10.1113/EP087444
40. Lane-Cordova D, Witmer JR, Dubishar K, DuBose LE, Chenard CA, Siefers KJ, et al. High trans but not saturated fat beverage causes an acute reduction in postprandial vascular endothelial function but not arterial stiffness in humans. Vasc Med. (2016) 21:429–36. doi: 10.1177/1358863X16656063
41. de Kat C, Verschuren WM, Eijkemans MJ, Broekmans FJ, van der Schouw TY. Anti-Mullerian hormone trajectories are associated with cardiovascular disease in women: results from the Doetinchem Cohort Study. Circulation. (2017) 135:556–65. doi: 10.1161/CIRCULATIONAHA.116.025968
42. De Vos M, Devroey P, Fauser CB. Primary ovarian insufficiency. Lancet. (2010) 376:911–21. doi: 10.1016/S0140-6736(10)60355-8
43. Gunning MN, Meun C, van Rijn BB, Maas A, Benschop L, Franx A, et al. Coronary artery calcification in middle-aged women with premature ovarian insufficiency. Clin Endocrinol. (2019) 91:314–22. doi: 10.1111/cen.14003
Keywords: hormones, premenopausal women, arterial stiffness, subclinical atherosclerosis parameter, lifestyle and behavior
Citation: Lane-Cordova AD and Bouknight S (2020) Importance of Sensitive Vascular Measurements for Evaluating Effects of Lifestyle in Premenopausal Women. Front. Cardiovasc. Med. 7:575908. doi: 10.3389/fcvm.2020.575908
Received: 24 June 2020; Accepted: 18 August 2020;
Published: 29 September 2020.
Edited by:
Lee Stoner, University of North Carolina at Chapel Hill, United StatesReviewed by:
Masahiro Horiuchi, Mount Fuji Research Institute, JapanDamon Leo Swift, East Carolina University, United States
Copyright © 2020 Lane-Cordova and Bouknight. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Abbi D. Lane-Cordova, lanecord@mailbox.sc.edu