Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2015 Jun 2;10(6):e0128991. doi: 10.1371/journal.pone.0128991

Carotid Stiffness and Physical Activity in Elderly—A Short Report of the SAPALDIA 3 Cohort Study

Seraina Caviezel 1,2,3, Julia Dratva 2,3, Emmanuel Schaffner 2,3, Christian Schindler 2,3, Simon Endes 1, Christine S Autenrieth 2,3, Miriam Wanner 4, Brian Martin 4, Eric de Groot 5, Jean-Michel Gaspoz 6, Nino Künzli 2,3, Nicole Probst-Hensch 2,3, Arno Schmidt-Trucksäss 1,*
Editor: Guillermo López Lluch7
PMCID: PMC4452761  PMID: 26035590

Abstract

Introduction

Regular physical activity has been shown to reduce cardiovascular disease risk in the general population. While smaller studies in specified groups (highly trained versus untrained individuals) indicate a certain dose-dependent effect of physical activity on the reduction of carotid stiffness (an indicator of subclinical vascular disease), it is unclear whether this association is present in a representative sample. Thus, we investigated this question cross-sectionally in participants from the population-based Swiss Cohort Study on Air Pollution And Lung and Heart Diseases In Adults (SAPALDIA).

Methods

Self-reported total, moderate and vigorous physical activity and distensibility as a measure of local arterial stiffness among 1636 participants aged 50 to 81 years without clinically manifest diseases were evaluated. Mixed regression models were used to examine associations of physical activity intensity with distensibility.

Results

Vigorous physical activity, but not total nor moderate physical activity, was significantly associated with increased distensibility (= reduced carotid stiffness) in univariate analyses (percent change in the geometric mean and 95% confidence interval per 1 standard deviation increment in vigorous physical activity = 2.54 (0.69; 4.43), p<0.01; in total physical activity = 1.62 (-0.22; 3.50), p = 0.08; in moderate physical activity = 0.70 (-1.12; 2.56), p = 0.45). These associations disappeared when we additionally adjusted for age.

Conclusion

After adjustment for the most important confounders and risk factors, we found no evidence for an association of physical activity with carotid stiffness in the general middle aged to elderly population.

Introduction

Physical inactivity is a generally accepted cardiovascular risk factor for cardiovascular disease (CVD), which causes a high percentage of global mortality [13]. CVD begins with structural and functional changes of the arterial system commonly known as the atherosclerotic process [4,5]. The vascular damage accumulated over time can be assessed as arterial stiffness, which can be directly measured in the common carotid artery [6].

While regular physical activity (PA) has been shown to reduce CVD risk in the general population, results of inverse associations between an increased PA level and a reduced carotid stiffness were mostly limited to two or three healthy groups with specific group characteristics such as highly trained versus untrained subjects [714]. Although these reports suggest a certain dose-dependent effect of PA on carotid stiffness [714], the specific group distinctions constrict a more generalizable conclusion.

Thus, the aim of this study was to assess whether an increasing amount of self-reported total, moderate and vigorous PA is associated with reduced carotid stiffness in a general middle-aged and elderly population without a diagnosis of CVD from the Swiss Cohort Study on Air Pollution And Lung and Heart Diseases In Adults (SAPALDIA).

Material and Methods

The SAPALDIA cohort study started in 1991 and is an ongoing Swiss multicentre cohort with a population-based random sample of adults [15,16]. This short report is based on the second follow-up assessment (SAPALDIA 3), which was conducted in 2010–2011.

Bilateral ultrasound B-mode scans of the common carotid artery were assessed in 3489 participants aged between 50–81 years at the time of examination. Centrally trained and certified sonographers used the same standardised ultrasound instruments (UF-870 machine LA385-16 MHz array transducer, Fukuda Denshi, Japan) and scan protocols. Ultrasound scans were analysed offline by expert readers evaluating carotid structure in a standardized 1cm segment across at least one heart cycle [17,18]. Detailed information about the examination and evaluation process are described elsewhere [17,18].

Distensibility was calculated as ([1/kPa] = ((2 × deltaLD × dLD)+(deltaLD)2)/(PP× dLD2)) [19], where deltaLD is the systolic-diastolic lumen diameter difference, dLD the diastolic lumen diameter and PP the pulse pressure (measured immediately after ultrasound examination, OMRON 705IT, OMRON HEALTHCARE, Kyoto, Japan). Lower values of distensibility correspond to an increased carotid stiffness. Good reproducibility of distensibility measurement was shown in 165 SAPALDIA 3 participants (coefficient of variation 12.14%; intraclass correlation coefficient 0.77) [18].

PA parameters were assessed using the validated long form of the International Physical Activity Questionnaire (IPAQ) [20,21]. Moderate and vigorous PA values of at least 10 minute bouts were derived from 27 items and four domains (work, transport, domestic/garden, leisure time) [22]. Values above 1260 min/week (3hours/day) were truncated [22]. The sum of moderate and vigorous PA intensity was calculated and defined as total PA. Participants were asked to fill in the IPAQ at home. Fig 1 shows that the participation rate was much lower when questionnaires were filled in at home compared to those participants who previously visited the study centers. The study complies with the declaration of Helsinki and ethical clearance was obtained and approved from the respective cantonal ethical committees (Aargau, Basel, Geneva, Grisons, Ticino, Valais, Vaud and Zurich) and participants gave written informed consent according to their preferences either globally for all examinations or separately for single assessments.

Fig 1. Flow chart of subject inclusion.

Fig 1

SCV = prior study center visits, IPAQ = International Physical Activity Questionnaire, PA = physical activity, affected adjustments = body mass index, mean arterial pressure, heart rate, smoking.

Statistical analysis

Data from 1636 participants were available for analyses after exclusion of individuals with doctor diagnosed diabetes, stroke, myocardial infarction, angina pectoris or heart failure at time of ultrasound examination or missing ultrasound, IPAQ or additional covariate data (Fig 1). Distensibility was skewed on the original scale and was normalised by log-transformation. Statistical significance was defined for p-values <0.05.

The associations of distensibility with PA parameters were examined using multiple mixed linear regression models with standardised covariates. Model 1 was an univariate model of distensibility and PA determinants; model 2 additionally adjusted for sex and age; model 3 included further adjustments for cardiovascular risk factors (heart rate, body mass index (BMI), mean arterial blood pressure and smoking), medication (yes/no: antihypertensive, lipid lowering, and kidney disease treatment) and SAPALDIA study centres (as random intercept to account for regional clustering). We repeated the main analyses considering other carotid stiffness parameters, namely beta stiffness index, Peterson’s elastic modulus and Young’s elastic modulus. However, conclusions did not differ from distensibility and thus, only results of distensibility are presented in this short report.

All analyses were performed using the statistical software STATA (StataCorp, Release 12. Statistical Software, College Station, TX: StataCorp LP, Texas, USA). The analytical data set and the statistical code are available from the corresponding author upon request, since ethics approval and participants consent does not allow public sharing of data (http://www.sapaldia.ch).

Results

Characteristics of study participants for males and females are shown in Table 1. Box plots of distensibility values and moderate and vigorous PA for both sexes and across three 10-year age categories are presented in Fig 2. Compared to the youngest age group, distensibility and vigorous PA were lower in older age groups for both sexes (p<0.05). Moderate PA did not show an age-associated decline. Within each age group, vigorous PA was significantly lower in women than in men (p<0.05). No differences for distensibility and moderate PA values were found in the oldest age group for both sexes (p>0.1). In the youngest and middle-aged groups, women had on average a higher distensibility and moderate PA compared to men (p<0.05).

Table 1. Characteristics of the study population by sex.

Characteristics Units Men Women
N participants N (%) 712 (43.5) 924 (56.5)
No medication intake N (%) 463 (39.9) 696 (60.1)
Medication intake N (%) 249 (52.2) 228 (47.8)
Age Mean (SD) years 63.0 (7.6) 63.0 (7.8)
Height Mean (SD) cm 175.1 (6.3) 162.0 (6.3)
Weight Mean (SD) kg 81.8 (11.9) 65.7 (12.3)
Body mass index Mean (SD) kg/m2 26.7 (3.5) 25.1 (4.6)
Diastolic BP Mean (SD) mmHg 80.1 (9.4) 76.5 (9.1)
Systolic BP Mean (SD) mmHg 137.5 (17.3) 131.5 (17.9)
Mean BP Mean (SD) mmHg 99.2 (11.2) 94.8 (11.1)
Pulse pressure Mean (SD) mmHg 57.4 (12.1) 55.1 (13.1)
Heart rate Mean (SD) bpm 68.1 (10.6) 69.1 (9.2)
Smoking Median (p25, p75) pack years 2.5 (0, 24) 0 (0, 12)
Distensibility Median (p25, p75) 10-3/kPa 14.5 (11.4, 18.1) 15.8 (12.0, 20.1)
Total PA Median (p25, p75) min/week 510 (180, 1105) 590 (240, 1195)
Moderate PA Median (p25, p75) min/week 360 (120, 00) 510 (193, 1080)
Vigorous PA Median (p25, p75) min/week 25 (0, 225) 0 (0, 113)

Numbers (N), mean value and standard deviation (SD), median and interquartile range (p25, p75), blood pressure (BP), physical activity (PA).

Fig 2. Box plots of distensibility and physical activity (PA) for both sexes across three 10-year age categories.

Fig 2

Detailed estimates of the associations between PA intensities and distensibility from different mixed linear models (models 1–3) are depicted in Table 2. We found significant univariate associations (model 1) between vigorous PA and distensibility, but not for total PA and moderate PA (percent change in the geometric mean per 1 standard deviation increment increase in vigorous PA = 2.54, p<0.01; in total PA = 1.62, p = 0.08; in moderate PA = 0.70, p = 0.45). In all mixed linear regression analyses, associations of different PA determinants with distensibility disappeared when age was included in the model (Table 2, model 2 and 3).

Table 2. Standardized estimates of associations between different physical activity (PA) determinants and distensibility adjusted for different covariates.

Outcome: distensibility Moderate PA Vigorous PA Total PA
CGM (95% CI) [%] p-value CGM (95% CI) [%] p-value CGM (95% CI) [%] p-value
Model 1 0.70 (-1.12; 2.56) 0.45 2.54 (0.69; 4.43) <0.01 1.62 (-0.22; 3.50) 0.08
Model 2 0.17 (-1.34; 1.70) 0.83 -0.24 (-1.76; 1.31) 0.76 0.04 (-1.46; 1.57) 0.96
Model 3 0.40 (-0.88; 1.70) 0.54 -0.52 (-1.80; 0.78) 0.43 0.12 (-1.16; 1.41) 0.86

Results are expressed as percentage change in the geometric mean (CGM) per 1 standard deviation increment with 95% confidence interval (CI); model 1 = univariate association between distensibility and moderate PA, vigorous PA and total PA; model 2 = adjusted for age and sex; model 3 = additional adjustments for medication intake, mean arterial blood pressure, body mass index, heart rate, smoking and a random effect for study centers to account for clustering.

Discussion

We observed no association of self-reported PA with distensibility in individuals aged 50 to 81 years of the SAPALDIA cohort free of CVD diagnosis. Only vigorous PA was significantly associated with reduced carotid stiffness in univariate analyses. However, these associations disappeared after adjustment for age.

Our results are principally in line with a report of ‘The Atherosclerosis Risk in Community’ (ARIC) cohort study which was also cross-sectional in design [14]. The authors found no association of PA with carotid stiffness in the overall population. Only in a sub-analysis, vigorous PA was weakly associated with reduced carotid stiffness independent of risk factors and age [14]. In contrast, far smaller cross-sectional studies seemed to show much stronger inverse associations of increased PA with reduced carotid stiffness parameters [814,23]. In addition, these results suggest a certain dose-dependent reduction of carotid stiffness with more vigorous PA even at older age [11,13]. However, these findings were primarily obtained by comparing extremes of PA (trained middle-aged to older athletes vs. sedentary peers) [911,13], and the fact that some of the very strong effects were found in small studies raises concern about publication bias. Except for ARIC, these small studies with highly selected samples probably do not reflect the general population, limiting the transfer of their results from athletes to normal individuals.

Positive effects of PA on cardiovascular risk factors and CVD were already widely investigated [3,2428] and different plausible associations of cardiovascular risk factors and carotid stiffness were shown by our group in the same study population [29]. We were convinced to find a clear independent positive contribution of PA on carotid stiffness due to favourable mechanisms via the nitric oxide pathway [3033], and conserving effects on elastin and collagen content against adverse wall remodelling [33,34]. In contrast to previous findings and to our a priori defined hypothesis, we could not show any effect of PA on arterial stiffness.

Strengths and limitations

Results of this short report are based on a large sample size using highly standardised ultrasound examination procedures to assess carotid stiffness. Besides the fact that IPAQ is already a validated tool for population wide PA assessment [20,21], a separate IPAQ validation within the SAPALDIA 3 setting including elderly individuals was performed and results confirmed the previous findings (Wanner et al. submitted). However, self-reported PA over the last seven days might lead to bias since PA intensity is based on subjective assessment. People might consider themselves active based on their life-long activity level, which may have changed with age. Overall, the degree of misclassification might be strong enough to prevent small effects of PA from being detected. However, measurement of PA in a large sample is challenging and costly and a validated questionnaire is a highly feasible solution to assess PA in a cohort. In line with other larger studies investigating PA and carotid stiffness, our study was limited by its cross-sectional design and this does not solve the challenge of possible reverse causality. Even though we excluded participants with known pre-existing CVD, there is still the chance that an unknown unfavourable health status affects the association between PA and carotid stiffness. Thus, to address reverse causality, we suggest to assess PA longitudinally before measuring carotid stiffness.

Conclusion and Perspectives

To our knowledge, this is the second epidemiological study investigating the associations of PA, risk factors and age on carotid stiffness assessed in an aging population without diagnosed CVD. Although we hypothesized an independent beneficial effect of PA on arterial stiffness in the common carotid artery, only an increasing amount of vigorous PA (and not total or moderate PA) was associated with reduced carotid stiffness and the association was no longer present after adjusting for age. Since only small intervention studies in specific populations showed a beneficial effect of PA on carotid stiffness, we recommend to investigate PA determinants in correlation with carotid stiffness longitudinally including a representative study sample.

Acknowledgments

This study could not have been done without the help of the study participants, technical and administrative support, the medical teams and field workers at the local study sites, the SAPALDIA team and the members of the Department of Sport, Exercise and Health. The authors thank them for their excellent work.

Data Availability

The analytical data set and the statistical code are available from the corresponding author upon request since ethics approval and participants consent does not allow public sharing of data (http://www.sapaldia.ch).

Funding Statement

The Swiss Study on Air Pollution and Lung and Heart Diseases In Adults (SAPALDIA) was supported by the Swiss National Science Foundation (grants 33CSCO-134276/1, 33CSCO-108796, 3247BO-104283, 3247BO-104288, 3247BO-104284, 3247-065896, 3100-059302, 3200-052720, 3200-042532, 4026-028099, PMPDP3_129021/1, and PMPDP3_141671/1), the Federal Office for Forest, Environment and Landscape, the Federal Office of Public Health, the Federal Office of Roads and Transport, and the canton's government of Aargau, Basel-Stadt, Basel-Land, Geneva, Luzern, Ticino, Valais, and Zürich. Additional funding came from the Swiss Lung League, the canton's Lung League of Basel Stadt/ Basel Landschaft, Geneva, Ticino, Valais, Graubünden and Zurich, Stiftung ehemals Bündner Heilstätten, SUVA, Freiwillige Akademische Gesellschaft, UBS Wealth Foundation, Talecris Biotherapeutics GmbH, Abbott Diagnostics, European Commission 018996 (GABRIEL), and Wellcome Trust WT 084703MA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380: 219–229. 10.1016/S0140-6736(12)61031-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. World Health Organization. Global health risks: mortality and burden of disease attributable to selected major risks Geneva: World Health Organisation; 2009. Available: http://www.who.int/healthinfo/global_burden_disease/global_health_risks/en/. [Google Scholar]
  • 3. World Health Organization. Global recommendations on physical activity for health Geneva, Switzerland: World Health Organization; 2010. Available: http://www.who.int/dietphysicalactivity/publications/9789241599979/en/. [Google Scholar]
  • 4. Ross R. Atherosclerosis—an inflammatory disease. N Engl J Med. 1999;340: 115–126. [DOI] [PubMed] [Google Scholar]
  • 5. Nilsson PM, Boutouyrie P, Laurent S. Vascular aging: a tale of EVA and ADAM in cardiovascular risk assessment and prevention. Hypertension. 2009;54: 3–10. 10.1161/HYPERTENSIONAHA.109.129114 [DOI] [PubMed] [Google Scholar]
  • 6. Adji A, O’Rourke MF, Namasivayam M. Arterial stiffness, its assessment, prognostic value, and implications for treatment. Am J Hypertens. 2011;24: 5–17. 10.1038/ajh.2010.192 [DOI] [PubMed] [Google Scholar]
  • 7. McDonnell BJ, Maki-Petaja KM, Munnery M, Yasmin, Wilkinson IB, Cockcroft JR, et al. Habitual exercise and blood pressure: age dependency and underlying mechanisms. Am J Hypertens. 2013;26: 334–341. 10.1093/ajh/hps055 [DOI] [PubMed] [Google Scholar]
  • 8. Schmidt-Trucksäss A, Schmid A, Brunner C, Scherer N, Zäch G, Keul J, et al. Arterial properties of the carotid and femoral artery in endurance-trained and paraplegic subjects. J Appl Physiol. 2000;89: 1956–1963. [DOI] [PubMed] [Google Scholar]
  • 9. Nualnim N, Barnes JN, Tarumi T, Renzi CP, Tanaka H. Comparison of central artery elasticity in swimmers, runners, and the sedentary. Am J Cardiol. 2011;107: 783–787. 10.1016/j.amjcard.2010.10.062 [DOI] [PubMed] [Google Scholar]
  • 10. Cook JN, DeVan AE, Schleifer JL, Anton MM, Cortez-Cooper MY, Tanaka H. Arterial compliance of rowers: implications for combined aerobic and strength training on arterial elasticity. Am J Physiol Heart Circ Physiol. 2006;290: H1596–H1600. [DOI] [PubMed] [Google Scholar]
  • 11. Tanaka H, Dinenno FA, Monahan KD, Clevenger CM, DeSouza CA, Seals DR. Aging, habitual exercise, and dynamic arterial compliance. Circulation. 2000;102: 1270–1275. [DOI] [PubMed] [Google Scholar]
  • 12. Van de Laar RJ, Ferreira I, van Mechelen W, Prins MH, Twisk JW, Stehouwer CD. Lifetime vigorous but not light-to-moderate habitual physical activity impacts favorably on carotid stiffness in young adults: The Amsterdam Growth and Health Longitudinal Study. Hypertension. 2010; 55: 33–39. 10.1161/HYPERTENSIONAHA.109.138289 [DOI] [PubMed] [Google Scholar]
  • 13. Sugawara J, Otsuki T, Tanabe T, Hayashi K, Maeda S, Matsuda M. Physical activity duration, intensity, and arterial stiffening in postmenopausal women. Am J Hypertens. 2006;19: 1032–1036. [DOI] [PubMed] [Google Scholar]
  • 14. Schmitz KH, Arnett DK, Bank A, Liao D, Evans GW, Evenson KR, et al. Arterial distensibility and physical activity in the ARIC study. Med Sci Sports Exerc. 2001;33: 2065–2071. [DOI] [PubMed] [Google Scholar]
  • 15. Ackermann-Liebrich U, Kuna-Dibbert B, Probst-Hensch NM, Schindler C, Felber Dietrich D, Zemp Stutz E, et al. Follow-up of the Swiss Cohort Study on Air Pollution and Lung Diseases in Adults (SAPALDIA 2) 1991–2003: methods and characterization of participants. Soz Praventivmed. 2005;50: 245–263. [DOI] [PubMed] [Google Scholar]
  • 16. Martin BW, Ackermann-Liebrich U, Leuenberger P, Künzli N, Zemp Stutz E, Keller R, et al. SAPALDIA: methods and participation in the cross-sectional part of the Swiss Study on Air Pollution and Lung Diseases in Adults. Soz Praventivmed. 1997;42: 67–84. [DOI] [PubMed] [Google Scholar]
  • 17. Teynor A, Caviezel S, Dratva J, Künzli N, Schmidt-Trucksäss A. An automated, interactive analysis system for ultrasound sequences of the common carotid artery. Ultrasound Med Biol. 2012;38: 1440–1450. 10.1016/j.ultrasmedbio.2012.03.015 [DOI] [PubMed] [Google Scholar]
  • 18. Caviezel S, Dratva J, Schaffner E, Teynor A, Baumstark MW, Schindler C, et al. Variability and reproducibility of carotid structural and functional parameters assessed with transcutaneous ultrasound—results from the SAPALDIA cohort study. Atherosclerosis. 2013;231: 448–455. 10.1016/j.atherosclerosis.2013.10.010 [DOI] [PubMed] [Google Scholar]
  • 19. Van Bortel LM, Duprez D, Starmans-Kool MJ, Safar ME, Giannattasio C, Cockcroft J, et al. Clinical applications of arterial stiffness, Task Force III: recommendations for user procedures. Am J Hypertens. 2002;15: 445–452. [DOI] [PubMed] [Google Scholar]
  • 20. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35: 1381–1395. [DOI] [PubMed] [Google Scholar]
  • 21. Kim Y, Park I, Kang M. Convergent validity of the international physical activity questionnaire (IPAQ): meta-analysis. Public Health Nutr. 2013;16: 440–452. 10.1017/S1368980012002996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.International Physical Activity Questionnaire (IPAQ) web site—Guidelines for Data Processing and Analysis. 2005. Available: www.ipaq.ki.se.
  • 23. Schmidt-Trucksäss A, Grathwohl D, Frey I, Schmid A, Boragk R, Upmeier C, et al. Relation of leisure-time physical activity to structural and functional arterial properties of the common carotid artery in male subjects. Atherosclerosis. 1999;145: 107–114. [DOI] [PubMed] [Google Scholar]
  • 24. Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report. Washington, DC: U.S. Department of Health and Human Services; 2008. Available: http://onlinelibrary.wiley.com/doi/10.1111/j.1753-4887.2008.00136.x/pdf. [Google Scholar]
  • 25. Li J, Siegrist J. Physical activity and risk of cardiovascular disease—a meta-analysis of prospective cohort studies. Int J Environ Res Public Health. 2012;9: 391–407. 10.3390/ijerph9020391 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Federal Office of Sport FOSPO, Federal Office of Public Health FOPH, Health Promotion Switzerland, bfu—Swiss Council for Accident Prevention, Swiss Accident Insurance Fund (Suva), Health and Physical Activity Network Switzerland. Health—Enhancing Physical Activity Core Document for Switzerland. 2013. Available: http://www.hepa.ch/internet/hepa/de/home/dokumentation/grundlagendokumente.html.
  • 27. Wen CP, Wai JPM, Tsai MK, Yang YC, Cheng TYD, Lee MC, et al. Minimum amount of physical activity for reduced mortality and extended life expectancy: a prospective cohort study. Lancet. 2011;378: 1244–1253. 10.1016/S0140-6736(11)60749-6 [DOI] [PubMed] [Google Scholar]
  • 28. Sattelmair J, Pertman J, Ding EL, Kohl HW, Haskell W, Lee IM. Dose response between physical activity and risk of coronary heart disease: a meta-analysis. Circulation. 2011;124: 789–795. 10.1161/CIRCULATIONAHA.110.010710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Caviezel S, Dratva J, Schaffner E, Schindler C, Zemp Stutz E, de Groot E, et al. Sex-specific associations of cardiovascular risk factors with carotid stiffness—results from the SAPALDIA cohort study. Atherosclerosis. 2014;235: 576–584. 10.1016/j.atherosclerosis.2014.05.963 [DOI] [PubMed] [Google Scholar]
  • 30. Hambrecht R, Fiehn E, Weigl C, Gielen S, Hamann C, Kaiser R, et al. Regular physical exercise corrects endothelial dysfunction and improves exercise capacity in patients with chronic heart failure. Circulation. 1998;98: 2709–2715. [DOI] [PubMed] [Google Scholar]
  • 31. Monahan KD, Tanaka H, Dinenno FA, Seals DR. Central arterial compliance is associated with age- and habitual exercise–related differences in cardiovagal baroreflex sensitivity. Circulation. 2001;104: 1627–1632. [DOI] [PubMed] [Google Scholar]
  • 32. Taddei S, Galetta F, Virdis A, Ghiadoni L, Salvetti G, Franzoni F, et al. Physical activity prevents age-related impairment in nitric oxide availability in elderly athletes. Circulation. 2000;101: 2896–2901. [DOI] [PubMed] [Google Scholar]
  • 33. Chatzizisis YS, Coskun AU, Jonas M, Edelman ER, Feldman CL, Stone PH. Role of endothelial shear stress in the natural history of coronary atherosclerosis and vascular remodeling: molecular, cellular, and vascular behavior. J Am Coll Cardiol. 2007;49: 2379–2393. [DOI] [PubMed] [Google Scholar]
  • 34. Dabagh M, Jalali P, Konttinen Y, Sarkomaa P. Distribution of shear stress over smooth muscle cells in deformable arterial wall. Med Biol Eng Comput. 2008;46: 649–657. 10.1007/s11517-008-0338-7 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The analytical data set and the statistical code are available from the corresponding author upon request since ethics approval and participants consent does not allow public sharing of data (http://www.sapaldia.ch).


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES