Next Article in Journal
Demographic and Injury Characteristics as Potential Risk Factors for Anterior Cruciate Ligament Injuries: A Multicentric Cross-Sectional Study
Previous Article in Journal
Evaluation of Pharmacy Intern Interventions on Antimicrobial Use in University-Affiliated Hospitals: A Retrospective Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Atherosclerosis Prevalence among Different Physical Activity Patterns in Adult Men

by
Jose Luis Perez-Lasierra
1,2,
Jose Antonio Casajús
2,3,4,
Alejandro Gonzalez-Agüero
2,3,4,
Jose Antonio Casasnovas
5,6,7,
Carolina Torrijo-Blanche
8,
Sofia Gimeno-Ruiz
9 and
Belén Moreno-Franco
6,7,8,*
1
Facultad de Ciencias de la Salud, Universidad San Jorge, 50830 Villanueva de Gállego, Spain
2
EXER-GENUD (Growth, Exercise, Nutrition and Development) Research Group, 50009 Zaragoza, Spain
3
Department of Physiatry and Nursing, Universidad de Zaragoza, 50009 Zaragoza, Spain
4
Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
5
Department of Medicine, Psiquiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
6
Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009 Zaragoza, Spain
7
Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain
8
Department of Microbiology, Pediatrics, Radiology and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain
9
Faculty of Veterinary, Universidad de Zaragoza, 50009 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(17), 5062; https://doi.org/10.3390/jcm13175062
Submission received: 5 July 2024 / Revised: 23 August 2024 / Accepted: 24 August 2024 / Published: 26 August 2024
(This article belongs to the Section Cardiovascular Medicine)

Abstract

:
Background: Physical activity (PA) intensity could play a key role in atherosclerosis risk, but the existing literature shows controversial results. The aim of this study was to analyze the association of different PA levels with the presence of subclinical atherosclerosis in femoral and carotid arteries. Methods: A cross-sectional analysis was conducted of 449 middle-aged men belonging to the Aragon Workers’ Health Study. Demographic, anthropometric, and clinical data were obtained during the annual medical examination. Ultrasonography was used to assess the presence of atheroma plaques in femoral and carotid territories. Accelerometry was used to assess habitual PA. Participants were categorized into vigorous PA (VPA) groups (0 min/week, >0–60 min/week, >60 min/week), and into moderate to vigorous PA (MVPA) groups using terciles as cut-offs. Results: Compared with participants who completed 0 min/week of VPA, those participants who completed >60 min/week of VPA had fully adjusted odds of subclinical atherosclerosis of 0.47 (95%CI: 0.22, 0.99, p < 0.05) and 0.35 (95%CI: 0.17, 0.73, p < 0.05) for femoral and any territory (femoral and/or carotid) respectively. No significant differences were observed in the prevalence of atheroma plaques in any vascular territory between the different MVPA groups. Conclusions: Performing more than 60 min/week of VPA is associated with reduced odds for subclinical atherosclerosis in femoral or any vascular territory in adult men.

1. Introduction

Atherosclerosis is a chronic inflammatory disease of blood vessels, which is highly present among middle-aged individuals, reaching a prevalence of higher than 70% in males [1,2]. Atherosclerosis constitutes a multifactorial process modulated by several non-modifiable factors, such as genetics, but also by modifiable elements like smoking, deleterious dietary patterns, or physical inactivity [2,3,4].
Physical activity (PA) is a key factor in the prevention and control of cardiovascular disease (CVD). The health benefits associated with PA are clear and well-documented in the literature [5,6]. The most recent worldwide PA guidelines support the recommendation that adults should undertake at least 150 min of moderate-intensity or 75 min of vigorous-intensity aerobic PA per week to improve their general health [6], supporting that any PA is better than none, even light-intensity PA [6]. Several studies have demonstrated its anti-inflammatory and anti-atherogenic effects [3,7,8,9,10,11]; however, as evidenced by other studies, this role remains contradictory [12,13,14,15]. Lifelong high doses of exercise (>2000 MET-min/week) or performing very vigorous-intensity exercise (≥9 METs) have been associated with a significantly higher risk of carotid atherosclerosis [12]. On the other hand, a recent study found that PA was inversely associated with the presence of atheroma plaques and also that a higher level of PA (≥8320 MET-min/week) was associated with a lower risk of subclinical atherosclerosis [11].
The PA level, understood as a combination of duration and intensity, may play a key role in understanding the relationship between PA and atherosclerosis. PA intensity modulates the secretion of catecholamines, hormones that control the cardiac response to activity. At high PA intensities, catecholamine levels increase exponentially [16], causing heart rate and blood pressure to rise, which may promote an atherogenic effect through turbulent blood flow. Indeed, the literature has demonstrated that moderate-intensity exercise is associated with an anti-inflammatory effect [17], while at higher intensities, the increase in plasma catecholamine concentrations can have a pro-inflammatory effect [18].
Considering the existing controversy in the current scientific literature, the aim of this study was to analyze the association of different PA levels with the presence of femoral and carotid atherosclerosis in a sample of middle-aged male factory workers from Spain, free of clinical CVD.

2. Materials and Methods

2.1. Study Design and Participants

This cross-sectional analysis was carried out in a subsample of participants belonging to the Aragon Worker’s Health Study (AWHS) [19]. The AWHS is a prospective cohort aiming to investigate the risk and protective factors of the development and progression of subclinical atherosclerosis in 5678 workers of a car manufacturing factory. From 2011 to 2014, 449 workers, aged between 39 and 59 years and apparently free of CVD, were invited to undergo subclinical atherosclerosis imaging and PA monitorization and to complete questionnaires on diet, behavior, and lifestyle factors. We excluded women (n = 10) and those with missing data on relevant variables (n = 11), so the final sample was composed of 428 men. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the Clinical Research Ethics Committee of Aragon (CEICA PI07/09). Written informed consent was obtained from each participant included in the study.

2.2. Physical Activity Assessment

The assessment of PA was performed using an ActiGraph GT3X+ accelerometer (ActiGraph, Pensacola, FL, USA). Participants were required to wear the device on the right hip for 7 consecutive days. Accelerometers were initialized to record accelerations at 30 Hz with a dynamic range of ±6 G. The raw records were downloaded and processed with AcliLife v.6.13.4 software (ActiGraph, Pensacola, FL, USA). Time in different PA intensities was classified using the thresholds for adults previously proposed by Freedson using the vector magnitude [20]: (a) light PA (LPA): 0–2690 counts/min, (b) moderate PA (MPA): 2691–6166 counts/min, (c) vigorous PA (VPA): 6167–9642 counts/min, (d) very vigorous PA (VVPA): ≥9643 counts/min, (e) moderate to vigorous PA (MVPA): ≥2691 counts/min. Participants’ records were considered valid when they covered at least 10 h/day during ≥4 days, requiring at least 3 weekdays and 1 weekend day.
Finally, the participants were classified into different groups based on their VPA level (0 min/week; >0–60 min/week; >60 min/week), and also in different groups based on terciles of MVPA (T3: ≤340 min/week; T2: 340.01–497 min/week; T1: ≥497.01 min/week). We propose these PA groups because the previously defined PA groups, based on PA recommendation guidelines [6], produced skewed group distribution. For the 75 min/week of VPA cut-off, the distribution was 92% versus 8% of individuals per subgroup. For the 150 min/week of MVPA cut-off, the distribution was 3.5% versus 96.5% of individuals per subgroup. However, information regarding these cut-offs can be found in the Supplementary Material (Supplementary Tables S1 and S2).

2.3. Subclinical Atherosclerosis Imaging

A Philips IU22 ultrasound system (Philips Healthcare, Bothell, WA, USA) was used to assess the presence of subclinical atherosclerosis in femoral and carotid vascular territories. Ultrasound images were acquired with linear high-frequency 2-dimensional probes (Philips Transducer L9-3, Philips Healthcare) using the Bioimage Study protocol for carotids [21] and a specifically designed protocol for femoral arteries [21]. Inspection sweeps were obtained at the right and left sides for the carotid (common, internal, external, and bulb) and femoral territories. A plaque was defined as a focal structure that protrudes into the lumen of the artery at least 0.5 mm or ≥50% thicker than the surrounding intima-media thickness. All measurements were analyzed using electrocardiogram-gated frames corresponding to end-diastole (R-wave) [22]. The presence of subclinical atherosclerosis was defined as the presence of at least one plaque in the carotid, femoral, or any territory (femoral and/or carotid territory). This methodology has been used and described previously [23].

2.4. Covariables and Definitions

Clinical and laboratory data were obtained during an annual medical examination. Biochemical measurements were performed on blood samples collected in fasting (>8 h) conditions. Total cholesterol, high-density lipoprotein cholesterol (HDL-c), triglycerides, and serum glucose concentrations were determined by enzyme analysis using the ILAB 650 analyzer from Instrumentation Laboratory (Bedford, MA, USA). Non-HDL-c was calculated by subtracting the HDL-c value from the total cholesterol value. Low-density lipoprotein cholesterol (LDL-c) was calculated using the Friedewald formula [24] when triglyceride levels were <400 mg/dL. Hypertension was defined as having systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or self-reported use of blood pressure-lowering drugs [25]. Diabetes was defined as fasting plasma glucose ≥ 126 mg/dL, or self-reported use of glucose-lowering agents [25]. Dyslipidemia was defined as having a total cholesterol ≥ 240 mg/dL, LDL-c ≥ 160 mg/dL, HDL-c < 40 mg/dL or self-reported lipid-lowering drug use [26]. Obesity was defined as body mass index ≥ 30 kg/m2. Smoking habits were categorized as ever smoker (current and former smoker) if the participant reported having smoked in the last year, or having smoked at least 50 cigarettes in his lifetime, and never smoker. Sociodemographic characteristics included age.

2.5. Statistical Analysis

Data are presented as mean and standard deviation (SD) for continuous variables and percentages for categorical variables. Descriptive analyses were carried out for the overall sample and divided by PA groups. Presence of atherosclerosis in femoral arteries, in carotid arteries, or in any of both territories was fitted with logistic regression models depending on PA level at different intensities and adjusted for age, hypertension, dyslipidemia, diabetes, obesity and smoking status. Coefficients were used to calculate odds ratios (OR) for plaque presence of each PA level, using as reference the least active group in each case. p-values below 0.05 were considered statistically significant. Statistical analysis was performed using SPSS statistical software ver. 29.0 (IBM Corp, Armonk, NY, USA).

3. Results

The sample size included 428 participants with a mean age of 52.8 (SD 4.3) years. Compared with individuals who did not perform any VPA, those who performed more than 60 min/week were younger, had higher concentrations of HDL-c, and performed more MVPA. The prevalence of the presence of atheroma plaques among participants was 54.2% in the femoral territory and 38.1% in the carotid territory. At least one atheroma plaque in femoral or carotid territories was present in 69.2% of the overall sample (Table 1).
The prevalence of the presence of atheroma plaques in the femoral territory in those who did not perform any VPA (0 min/week), those who performed between 0 and 60 min/week of VPA, and those who performed >60 min/week of VPA were 60.1%, 53.0%, and 33.3%, respectively (Table 1). The fully adjusted odds for having a femoral plaque were 0.47 (95%CI 0.22, 0.99, p < 0.05) for those who performed >60 min/week of VPA and 1.03 (95%CI 0.66, 1.60, p > 0.05) for those who performed between >0–60 min/week of VPA compared to those who did not perform VPA (0 min/week) (Table 2; Figure 1A).
The prevalence of the presence of atheroma plaques in the carotid territory in those who did not perform any VPA (0 min/week), those who performed between 0 and 60 min/week of VPA, and those who performed >60 min/week of VPA were, 41.5%, 37.4%, and 26.2%, respectively (Table 1). Although the odds for having a carotid plaque tended to be lower in those who performed >60 min/week of VPA in relation to those who did not perform VPA (0 min/week), (adjusted odds ratio 0.63; 95%CI: 0.29, 1.35, p > 0.05) statistical significance was not reached (Table 2; Figure 1B).
The prevalence of the presence of atheroma plaques in any analyzed territory (femoral and/or carotid) in those who did not perform any VPA (0 min/week), those who performed between 0 and 60 min/week of VPA, and those who perform >60 min/week of VPA were, 76.6%, 67.2%, and 45.2%, respectively (Table 1). The fully adjusted odds for having any atheroma plaque were 0.35 (95%CI 0.17, 0.73, p < 0.05) for those who performed >60 min/week of VPA and 0.85 (95%CI 0.52, 1.38, p > 0.05) for those who performed between >0–60 min/week of VPA compared to those who did not perform VPA (0 min/week) (Table 2; Figure 1C).
The odds of having a femoral, carotid, or any plaque (femoral and/or carotid) in relation to fulfilling the aerobic PA guidelines for adults based on the VPA threshold (75 min/week of VPA) [6] can be consulted in Supplementary Table S1.
The prevalence of the presence of atheroma plaques in T3, T2, and T1 MVPA groups were 54.5%, 58.0%, and 50.0%, respectively, for femoral plaque; 39.9%, 39.2%, and 35.2%, respectively, for carotid plaque; and 72.0%, 68.5%, and 66.9%, respectively, for any territory (femoral and/or carotid) (Table 3). Although the fully adjusted odds for having an atheroma plaque in the femoral, carotid, or any territory tended to be lower in those who performed more MVPA (T1 group) in relation to those who performed less MVPA (T3 group), the differences were not statistically significant in any case (Table 3; Figure 2).
The odds of having a femoral, carotid, or any plaque (femoral and/or carotid) in relation to fulfilling the aerobic PA guidelines for adults based on the MVPA threshold (150 min/week of MVPA) [6] can be consulted in Supplementary Table S2.

4. Discussion

In this cross-sectional analysis conducted in middle-aged asymptomatic male workers, we demonstrate that only those who perform more than 60 min/week of VPA presented reduced odds for subclinical atherosclerosis in femoral or any analyzed vascular territories. It seems that high levels of MVPA could be insufficient to obtain the protective effect if no more than 1 h/week of VPA is performed. The most recent PA guidelines support that any PA produces health benefits, even LPA [6], but based on the results of this study, it seems that only VPA is effective to prevent atherosclerosis in adult men.

4.1. Physical Activity and Atherosclerosis

Previous studies that analyzed the role of PA in atherosclerosis disease found controversial results. Some of them showed the anti-atherosclerotic role of PA [7,8,9,10,11], but other studies conducted in athletes showed that higher doses of PA (a combination of high PA frequency, duration, and intensity) could increase the risk of presenting atheroma plaques [12,13]. However, it should be noted that athletes often present a very high PA level during the course of their lives in relation to the general population. This implies that athletes are exposed to high physiological stress due to high training loads, which could be detrimental to some parameters related to cardiovascular health, leading to atherosclerosis development [13]. However, the composition of atherosclerosis plaques presenting in athletes implies a lower CVD risk in relation to the atherosclerosis plaques that usually present in the general population [13].
Along the same line, a previous study that analyzed the relationship between PA and subclinical atherosclerosis in non-athletes showed how those individuals who completed three times the PA recommendation guidelines presented higher odds for atherosclerosis than those individuals who did not complete the PA recommendation guidelines [27]. However, the methodology used to assess PA through a total PA score presents some limitations, and also this study did not discriminate between PA intensities to reach the total PA level. Because of this, is it possible that the risk associated with a high level of PA could be due to the combination of high PA frequency and duration, but with a high proportion of this PA performed at very vigorous intensity, since based on our results, performing VPA for more than 1 h/week decreases the probability to present atherosclerosis.
In line with this assumption, a recent study conducted in middle-aged and older men that discriminates among different PA intensities reported that very vigorous PA (≥9 METs) increased the probability of presenting atherosclerosis [14]. However, on the other hand, this study also showed how performing PA at a vigorous intensity (6–9 METs) decreases the probability of presenting atherosclerosis plaques [14], results that are in line with those obtained in our study since only a few participants (n = 17) performed any PA at a very vigorous intensity (mean = 0.69 ± 5.98 min/week of very vigorous PA). Based on the overall scientific evidence, it could be possible that the relationship between PA intensity and atherosclerosis presents a U/J-shape association.

4.2. Methodology Used to Assess Physical Activity

As mentioned above, it should be noted that the methodology used to assess PA by most of the previous studies focused on analyzing the relationship between PA and atherosclerosis presents some limitations. Several studies used questionnaires to assess PA [12,14,27]. Although most of these questionnaires were previously validated, self-reported methods quantify PA from a subjective view of participants, and therefore, the quantification could be biased [28,29]. The methodology used to assess PA could condition the results obtained. A previous study showed that PA assessed by accelerometry was inversely associated with atherosclerosis, but if PA was assessed with subjective questionnaires, no association between PA and atherosclerosis was found [30]. In the present study, accelerometry was used to assess PA, which is an objective method that also presents some limitations, but the advantages, especially in establishing a dose–response relationship and quantifying intensity in an objective way, outweigh the limitations [29,31]. It could be possible that the controversial results regarding the association between PA and atherosclerosis may be, in part, a result of the methods used to assess PA. The present study significantly mitigates the constraints encountered in prior studies assessing PA. However, despite the high-quality methodology used to assess the PA level in this study, as well as in other previous studies that used different and more subjective methods to assess PA, the assessment was limited to the baseline, and PA can vary greatly during the life course.

4.3. Clinical Relevance

PA guidelines are developed based on high-quality scientific evidence, but from a wide health perspective [6]. Based on the results provided in this study, it could be possible that the minimum level of aerobic PA recommended for adult men (150 min/week of MVPA) could be insufficient to obtain a protective effect against atherosclerosis if no more than 60 min/week of VPA were performed. Although the results related to femoral plaques are significant but approach non-significance, the overall findings, which include plaque presence in both femoral and carotid territories, are robust and support this hypothesis.
On the other hand, as some studies have found that very vigorous PA increases atherosclerotic risk, it is difficult to state that increased PA intensity is always associated with health benefits from the perspective of atherosclerosis risk. Despite these limitations and knowing that atherosclerotic plaques increase the risk and are associated with cardiovascular events in the general population, performing more than 60 min/week of VPA (6–9 METs) seems to be key to decreasing the probability of presenting atherosclerosis plaques and to prevent future cardiovascular events.

4.4. Strengths and Limitations

The strengths of this study include the use of high-quality data collection methods to assess PA and subclinical atherosclerosis, and also the assessment of femoral vascular territory since other studies only analyze the carotid territory and the prevalence of subclinical atherosclerosis in the femoral territory is higher among middle-aged men [2]. However, several limitations should be acknowledged in our study. First, the cross-sectional analysis does not allow us to establish a causal, temporal link between the analyzed variables. Second, we only include Caucasian men in the study, so the results cannot be translated to other ethnicity or women and future research in other ethnicities and female population is needed to allow specific atherosclerosis probabilities. Third, the composition of atherosclerosis plaques was not analyzed and probably differences in plaque composition among the different PA groups analyzed could be showed. Fourth, despite the high-quality methodology used to assess the PA level, it was limited to a single baseline assessment, and PA can vary greatly during the life course. Future studies should aim to assess PA using accelerometry over extended periods to establish a dose–response relationship between PA and atherosclerosis.

5. Conclusions

In conclusion, it seems that performing more than 60 min/week of VPA is associated with reduced odds for subclinical atherosclerosis in femoral or any analyzed vascular territories in adult men. Although the minimum aerobic PA level recommended by worldwide PA guidelines for adults (150 min/week of MVPA) provides general health benefits, performing 60 min/week of VPA may offer a more protective effect against atherosclerosis in adult men.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm13175062/s1, Supplementary Table S1: Odds ratio (95%CI) for the presence of plaque in vascular territories by vigorous physical activity; Supplementary Table S2: Odds ratio (95%CI) for the presence of plaque in vascular territories by moderate to vigorous physical activity.

Author Contributions

Conceptualization, J.L.P.-L.; methodology, J.L.P.-L., J.A.C. (Jose Antonio Casajús), A.G.-A., J.A.C. (Jose Antonio Casasnovas), C.T.-B., S.G.-R. and B.M.-F.; formal analysis, J.L.P.-L.; data curation, J.L.P.-L. and B.M.-F.; writing-original draft preparation, J.L.P.-L.; writing-review and editing, J.A.C. (Jose Antonio Casajús), A.G.-A., J.A.C. (Jose Antonio Casasnovas), C.T.-B., S.G.-R. and B.M.-F. All authors have read and agreed to the published version of the manuscript.

Funding

This study has been funded by Government of Aragon through the research group B12_23R.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of CEICA (PI07/09; approval date: 23 May 2007).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not public due to ethical reasons.

Acknowledgments

The authors thank the study participants, doctors and health-care professionals at the Opel factory. The authors also thank the AWHS technical staff.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fernández-Friera, L.; Peñalvo, J.L.; Fernandez-Ortiz, A.; Ibañez, B.; López-Melgar, B.; Laclaustra, M.; Oliva, B.; Mocoroa, A.; Mendiguren, J.; Martinez de Vega, V.; et al. Prevalence, Vascular Distribution and Multi-Territorial Extent of Subclinical Atherosclerosis in a Middle-Aged Cohort: The PESA (Progression of Early Subclinical Atherosclerosis) Study. Circulation 2015, 131, 2104–2113. [Google Scholar] [CrossRef]
  2. Laclaustra, M.; Casasnovas, J.A.; Fernandez-Ortiz, A.; Fuster, V.; León-Latre, M.; Jimenez Borreguero, J.; Pocovi, M.; Hurtado-roca, Y.; Ordovas, J.M.; Jarauta, E.; et al. Femoral and Carotid Subclinical Atherosclerosis: Risk Factors and Coronary Calcium. J. Am. Coll. Cardiol. 2016, 67, 1263–1274. [Google Scholar] [CrossRef] [PubMed]
  3. Lechner, K.; Schacky, C.V.; Mckenzie, A.L.; Worm, N.; Nixdorff, U.; Halle, M.; Lechner, B.; Kra, N. Lifestyle Factors and High-Risk Atherosclerosis: Pathways and Mechanisms beyond Traditional Risk Factors. Eur. J. Prev. Cardiol. 2020, 27, 394–406. [Google Scholar] [CrossRef] [PubMed]
  4. Uzhova, I.; Mateo-Gallego, R.; Moreno-Franco, B.; Molina-Montes, E.; Leon-Latre, M.; Casasnovas Lenguas, J.A.; Civeira, F.; Peñalvo, J.L. The Additive Effect of Adherence to Multiple Healthy Lifestyles on Subclinical Atherosclerosis: Insights from the AWHS. J. Clin. Lipidol. 2018, 12, 615–625. [Google Scholar] [CrossRef] [PubMed]
  5. Kyu, H.H.; Bachman, V.F.; Alexander, L.T.; Mumford, J.E.; Afshin, A.; Estep, K.; Veerman, J.L.; Delwiche, K.; Iannarone, M.L.; Moyer, M.L.; et al. Physical Activity and Risk of Breast Cancer, Colon Cancer, Diabetes, Ischemic Heart Disease, and Ischemic Stroke Events: Systematic Review and Dose-Response Meta-Analysis for the Global Burden of Disease Study 2013. BMJ 2016, 9, i3857. [Google Scholar] [CrossRef]
  6. Bull, F.C.; Al-, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.-P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 Guidelines on Physical Activity and Sedentary Behaviour. Br. J. Sports Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef]
  7. Thompson, P.D.; Buchner, D.; Piña, I.L.; Balady, G.J.; Williams, M.A.; Marcus, B.H.; Berra, K.; Blair, S.N.; Costa, F.; Franklin, B.; et al. Exercise and Physical Activity in the Prevention and Treatment of Atherosclerotic Cardiovascular Disease: A Statement from the Council on Clinical Cardiology (Subcommittee on Exercise, Rehabilitation, and Prevention) and the Council on Nutrition, Physical. Circulation 2003, 107, 3109–3116. [Google Scholar] [CrossRef]
  8. Kozákova, M.; Palombo, C.; Morizzo, C.; Nolan, J.J.; Konrad, T.; Balkau, B. Effect of Sedentary Behaviour and Vigorous Physical Activity on Segment-Specific Carotid Wall Thickness and Its Progression in a Healthy Population. Eur. Heart J. 2010, 31, 1511–1519. [Google Scholar] [CrossRef]
  9. Boss, H.M.; van der Graaf, Y.; Visseren, F.L.J.; Van den Berg-Vos, R.M.; Bots, M.L.; de Borst, G.J.; Cramer, M.J.; Kappelle, L.J.; Geerlings, M.I. Physical Activity and Characteristics of the Carotid Artery Wall in High-Risk Patients—The SMART (Second Manifestations of Arterial Disease) Study. J. Am. Heart Assoc. 2017, 6, e005143. [Google Scholar] [CrossRef]
  10. Stein, R.; Rockman, C.; Guo, Y.; Adelman, M.; Riles, T.; Hiatt, W.; Berger, J. Association between Physical Activity and Peripheral Artery Disease and Carotid Artery Stenosis in a Self-Referred Population of 3 Million Adults. Arter. Thromb. Vasc. Biol. 2015, 35, 206–212. [Google Scholar] [CrossRef]
  11. Chen, L.; Bi, Y.; Su, J.; Cui, L.; Han, R.; Tao, R.; Zhou, J.; Wu, M.; Qin, Y. Physical Activity and Carotid Atherosclerosis Risk Reduction in Population with High Risk for Cardiovascular Diseases: A Cross-Sectional Study. BMC Public Health 2022, 22, 250. [Google Scholar] [CrossRef] [PubMed]
  12. Aengevaeren, V.L.; Mosterd, A.; Braber, T.L.; Prakken, N.H.J.; Doevendans, P.A.; Grobbee, D.E.; Thompson, P.D.; Eijsvogels, T.M.H.; Velthuis, B.K. The Relationship between Lifelong Exercise Volume and Coronary Atherosclerosis in Athletes. Circulation 2017, 136, 138–148. [Google Scholar] [CrossRef] [PubMed]
  13. Aengevaeren, V.L.; Mosterd, A.; Sharma, S.; Prakken, N.H.J.; Möhlenkamp, S.; Thompson, P.D.; Velthuis, B.K.; Eijsvogels, T.M.H. Exercise and Coronary Atherosclerosis: Observations, Explanations, Relevance, and Clinical Management. Circulation 2020, 141, 1338–1350. [Google Scholar] [CrossRef] [PubMed]
  14. Aengevaeren, V.L.; Mosterd, A.; Bakker, E.A.; Braber, T.L.; Nathoe, H.M.; Sharma, S.; Thompson, P.D.; Velthuis, B.K.; Eijsvogels, T.M.H. Exercise Volume Versus Intensity and the Progression of Coronary Atherosclerosis in Middle-Aged and Older Athletes: Findings From the MARC-2 Study. Circulation 2023, 147, 993–1003. [Google Scholar] [CrossRef]
  15. Merghani, A.; Maestrini, V.; Rosmini, S.; Cox, A.T.; Dhutia, H.; Bastiaenan, R.; David, S.; Yeo, T.J.; Narain, R.; Malhotra, A.; et al. Prevalence of Subclinical Coronary Artery Disease in Masters Endurance Athletes with a Low Atherosclerotic Risk Profile. Circulation 2017, 136, 126–137. [Google Scholar] [CrossRef]
  16. Zouhal, H.; Jacob, C.; Delamarche, P.; Gratas-Delamarche, A. Catecholamines and the Effects of Exercise, Training and Gender. Sports Med. 2008, 38, 401–423. [Google Scholar] [CrossRef]
  17. Gleeson, M.; Bishop, N.C.; Stensel, D.J.; Lindley, M.R.; Mastana, S.S.; Nimmo, M.A. The Anti-Inflammatory Effects of Exercise: Mechanisms and Implications for the Prevention and Treatment of Disease. Nat. Rev. Immunol. 2011, 11, 607–610. [Google Scholar] [CrossRef]
  18. Van Der Heijden, C.D.C.C.; Groh, L.; Keating, S.T.; Kaffa, C.; Noz, M.P.; Kersten, S.; Van Herwaarden, A.E.; Hoischen, A.; Joosten, L.A.B.; Timmers, H.J.L.M.; et al. Catecholamines Induce Trained Immunity in Monocytes in Vitro and in Vivo. Circ. Res. 2020, 127, 269–283. [Google Scholar] [CrossRef]
  19. Casasnovas, J.A.; Alcalde, V.; Civeira, F.; Guallar, E.; Ibañez, B.; Jimenez Borreguero, J.; Laclaustra, M.; León, M.; Peñalvo, J.L.; Ordovás, J.M.; et al. Aragon Workers’ Health Study—Design and Cohort Description. BMC Cardiovasc. Disord. 2012, 12, 45. [Google Scholar] [CrossRef]
  20. Sasaki, J.E.; John, D.; Freedson, P.S. Validation and Comparison of ActiGraph Activity Monitors. J. Sci. Med. Sport 2011, 14, 411–416. [Google Scholar] [CrossRef]
  21. Junyent, M.; Gilabert, R.; Zambon, D.; Pocovı, M.; Mallen, M.; Cofán, M.; Nuñez, I.; Civeira, F.; Tejedor, D.; Ros, E. Femoral Atherosclerosis in Heterozygous Familial Hypercholesterolemia: Influence of the Genetic Defect. Arter. Thromb. Vasc. Biol. 2008, 28, 580–586. [Google Scholar] [CrossRef] [PubMed]
  22. Inaba, Y.; Chen, J.A.; Bergmann, S.R. Carotid Plaque, Compared with Carotid Intima-Media Thickness, More Accurately Predicts Coronary Artery Disease Events: A Meta-Analysis. Atherosclerosis 2012, 220, 128–133. [Google Scholar] [CrossRef] [PubMed]
  23. Perez-Lasierra, J.L.; Laclaustra, M.; Guallar-Castillón, P.; Casasnovas, J.A.; Casajús, J.A.; Jarauta, E.; Gonzalez-Agüero, A.; Moreno-Franco, B. Daily Sitting for Long Periods Increases the Odds for Subclinical Atheroma Plaques. J. Clin. Med. 2021, 10, 1229. [Google Scholar] [CrossRef] [PubMed]
  24. Friedewald, W.T.; Levy, R.I.; Fredrickson, D.S. Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, without Use of the Preparative Ultracentrifuge. Clin. Chem. 1972, 18, 499–502. [Google Scholar] [CrossRef]
  25. Pearson, T.A.; Palaniappan, L.P.; Artinian, N.T.; Carnethon, M.R.; Criqui, M.H.; Daniels, S.R.; Fonarow, G.C.; Fortmann, S.P.; Franklin, B.A.; Galloway, J.M.; et al. American Heart Association Guide for Improving Cardiovascular Health at the Community Level, 2013 Update: A Scientific Statement for Public Health Practitioners, Healthcare Providers, and Health Policy Makers. Circulation 2013, 127, 1730–1753. [Google Scholar] [CrossRef]
  26. National Cholesterol Education Program (US). Expert Panel on Detection, & Treatment of High Blood Cholesterol in Adults. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation 2002, 106, 3143–3421. [Google Scholar]
  27. Laddu, D.R.; Rana, J.S.; Murillo, R.; Sorel, M.E.; Quesenberry, C.P.; Allen, N.B.; Gabriel, K.P.; Carnethon, M.R.; Liu, K.; Reis, J.P.; et al. 25-Year Physical Activity Trajectories and Development of Subclinical Coronary Artery Disease as Measured by Coronary Artery Calcium: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Mayo Clin. Proc. 2017, 92, 1660–1670. [Google Scholar] [CrossRef] [PubMed]
  28. Warren, J.M.; Ekelund, U.; Besson, H.; Mezzani, A.; Geladas, N.; Vanhees, L. Assessment of Physical Activity—A Review of Methodologies with Reference to Epidemiological Research: A Report of the Exercise Physiology Section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur. J. Cardiovasc. Prev. Rehabil. 2010, 17, 127–139. [Google Scholar] [CrossRef]
  29. Ainsworth, B.; Cahalin, L.; Buman, M.; Ross, R. The Current State of Physical Activity Assessment Tools. Prog. Cardiovasc. Dis. 2015, 57, 387–395. [Google Scholar] [CrossRef]
  30. Gabriel, K.P.; Matthews, K.A.; Pérez, A.; Edmundowicz, D.; Kohl, H.W.; Hawkins, M.S.; Janak, J.C.; Kriska, A.M.; Kuller, L.H. Self-Reported and Accelerometer Physical Activity Levels and Coronary Artery Calcification Progression in Older Women: Results from the Healthy Women Study. Menopause 2013, 20, 152–161. [Google Scholar] [CrossRef]
  31. Welk, G.J. Harmonizing Monitor- and Report-Based Estimates of Physical Activity through Calibration. Kinesiol. Rev. 2019, 8, 16–24. [Google Scholar] [CrossRef]
Figure 1. Odds ratio (95%CI) for atheroma plaque presence according to vigorous physical activity level group. (A) Odds ratio for femoral plaque. (B) Odds ratio for carotid plaque. (C) Odds ratio for any territory plaque (at least one plaque in the femoral or carotid territory).
Figure 1. Odds ratio (95%CI) for atheroma plaque presence according to vigorous physical activity level group. (A) Odds ratio for femoral plaque. (B) Odds ratio for carotid plaque. (C) Odds ratio for any territory plaque (at least one plaque in the femoral or carotid territory).
Jcm 13 05062 g001
Figure 2. Odds ratio (95%CI) for atheroma plaque presence according to moderate to vigorous physical activity level group. (A) Odds ratio for femoral plaque. (B) Odds ratio for carotid plaque. (C) Odds ratio for any territory plaque (at least one plaque in femoral or carotid territory). T3: ≤340 min/week; T2: 340.01–497 min/week; T1: ≥497.01 min/week.
Figure 2. Odds ratio (95%CI) for atheroma plaque presence according to moderate to vigorous physical activity level group. (A) Odds ratio for femoral plaque. (B) Odds ratio for carotid plaque. (C) Odds ratio for any territory plaque (at least one plaque in femoral or carotid territory). T3: ≤340 min/week; T2: 340.01–497 min/week; T1: ≥497.01 min/week.
Jcm 13 05062 g002
Table 1. Baseline characteristics of study participants according to level of physical activity.
Table 1. Baseline characteristics of study participants according to level of physical activity.
Vigorous Physical Activity Level (m/w)
Total0 >0–60 >60p-Value
N42818819842
Age, years52.8 (4.3)53.9 (3.4)52.1 (4.6)51.5 (5.2)<0.001 ab
BMI, kg/m224.2 (3.3)24.3 (3.4)24.2 (3.3)24.0 (2.9)0.766
Systolic BP, mmHg125.0 (13.9)126.1 (14.7)124.6 (13.7)122.4 (10.7)0.249
Diastolic BP, mmHg82.0 (9.7)83.0 (9.9)81.6 (9.6)79.9 (8.4)0.132
Total cholesterol, mg/dL217.2 (35.6)218. 3 (34.7)215.0 (36.6)222.6 (34.3)0.385
HDL-c, mg/dL53.3 (11.4)51.7 (10.1)54.3 (12.3)56.0 (11.2)0.021
LDL-c, mg/dL135.0 (29.7)136.5 (30.5)132.4 (28.8)140.3 (29.6)0.188
Triglycerides, mg/dL148.6 (100.4)152.4 (82.4)148.6 (119.9)131.5 (67.8)0.475
Glucose, mg/dL96.3 (18.7)97.7 (18.9)96.0 (19.4)91.1 (13.4)0.115
Hypertension, %155 [36.2]71 [37.8]71 [35.9]13 [31.0]0.701
MVPA, min/week443.2 (201.0)371.1 (164.1)470.2 (194.1)639.3 (224.1)<0.001 abc
Dyslipidemia, %190 [44.4]95 [50.5]79 [39.9]16 [38.1]0.076
Diabetes, %26 [6.1]11 [5.9]13 [6.6]2 [4.8]0.893
Ever smokers, %341 [79.7]158 [84.0]153 [77.3]30 [71.4]0.096
Obesity, %22 [5.1]13 [6.9]8 [4.0]1 [2.4]0.307
Femoral plaque, %232 [54.2]113 [60.1]105 [53.0]14 [33.3]0.006
Carotid plaque, %163 [38.1]78 [41.5]74 [37.4]11 [26.2]0.175
Any plaque, %296 [69.2]144 [76.6]133 [67.2]19 [45.2]<0.001
Notes: m/w: minutes/week; BMI: body mass index; BP: blood pressure; HDL-c: High-density lipoprotein cholesterol; LDL-c: Low-density lipoprotein cholesterol; MVPA: moderate to vigorous physical activity; any plaque: presence of at least one plaque in the femoral or carotid territory. Values are mean (SD) or number [%]. a Significant differences between 0 m/w and 0–60 m/w groups. b Significant differences between 0 m/w and >60 m/w groups. c Significant differences between 0–60 m/w and >60 m/w groups.
Table 2. Odds ratio (95%CI) for the presence of plaque in analyzed territories by vigorous physical activity level.
Table 2. Odds ratio (95%CI) for the presence of plaque in analyzed territories by vigorous physical activity level.
Vigorous Physical Activity Level
0 min/Week>0–60 min/Weekp-Value>60 min/Weekp-Value
Number with femoral plaque/Total113/188105/198 14/42
Unadjusted1.00 (ref)0.75 (0.50, 1.12) 0.1610.33 (0.16, 0.67) 0.002
Age-adjusted1.00 (ref)0.95 (0.62, 1.46) 0.8220.42 (0.20, 0.87) 0.020
Model 11.00 (ref)1.03 (0.66, 1.60) 0.9070.47 (0.22, 0.99) 0.048
Number with carotid plaque/Total78/18874/198 11/42
Unadjusted1.00 (ref)0.84 (0.56, 1.27) 0.4080.50 (0.24, 1.06) 0.069
Age-adjusted1.00 (ref)0.94 (0.62, 1.43) 0.7590.57 (0.27, 1.21) 0.144
Model 11.00 (ref)0.99 (0.65, 1.53) 0.9890.63 (0.29, 1.35) 0.231
Number with any plaque/Total144/188133/198 19/42
Unadjusted1.00 (ref)0.63 (0.40, 0.98) 0.0410.25 (0.13, 0.51) <0.001
Age-adjusted1.00 (ref)0.77 (0.48, 1.22) 0.2630.31 (0.15, 0.64) 0.001
Model 11.00 (ref)0.85 (0.52, 1.38) 0.5120.35 (0.17, 0.73) 0.005
Notes: Model 1 Adjusted for age, hypertension, dyslipidemia, diabetes, obesity, and smoking status. Any plaque: presence of at least one plaque in femoral or carotid territory; ref: reference.
Table 3. Odds ratio (95%CI) for the presence of plaque in analyzed territories by moderate to vigorous physical activity level.
Table 3. Odds ratio (95%CI) for the presence of plaque in analyzed territories by moderate to vigorous physical activity level.
Moderate to Vigorous Physical Activity Level
T3T2p-ValueT1p-Value
Number with femoral plaque/Total78/14383/143 71/142
Unadjusted1.00 (ref)1.15 (0.72, 1.84) 0.5510.83 (0.52, 1.33) 0.443
Age-adjusted1.00 (ref)1.09 (0.67, 1.77) 0.7320.79 (0.49, 1.29) 0.345
Model 11.00 (ref)1.21 (0.73, 2.01) 0.4530.86 (0.51, 1.43) 0.551
Number with carotid plaque/Total57/14356/143 50/142
Unadjusted1.00 (ref)0.97 (0.61, 1.56) 0.9040.82 (0.51, 1.33) 0.418
Age-adjusted1.00 (ref)0.94 (0.59, 1.52) 0.8110.81 (0.50, 1.31) 0.380
Model 11.00 (ref)0.99 (0.61, 1.60) 0.9620.87 (0.53, 1.43) 0.590
Number with any plaque/Total103/14398/143 95/142
Unadjusted1.00 (ref)0.85 (0.51, 1.41) 0.5180.79 (0.47, 1.30) 0.348
Age-adjusted1.00 (ref)0.79 (0.47, 1.33) 0.3720.76 (0.45, 1.28) 0.305
Model 11.00 (ref)0.83 (0.48, 1.43) 0.5010.85 (0.49, 1.46) 0.554
Notes: T3: ≤340 min/week of moderate to vigorous physical activity; T2: 340.01–497 min/week of moderate to vigorous physical activity; T1: ≥497.01 min/week of moderate to vigorous physical activity; any plaque: presence of at least one plaque in femoral or carotid territory; ref: reference. Model 1 Adjusted for age, hypertension, dyslipidemia, diabetes, obesity, and smoking status.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Perez-Lasierra, J.L.; Casajús, J.A.; Gonzalez-Agüero, A.; Casasnovas, J.A.; Torrijo-Blanche, C.; Gimeno-Ruiz, S.; Moreno-Franco, B. Atherosclerosis Prevalence among Different Physical Activity Patterns in Adult Men. J. Clin. Med. 2024, 13, 5062. https://doi.org/10.3390/jcm13175062

AMA Style

Perez-Lasierra JL, Casajús JA, Gonzalez-Agüero A, Casasnovas JA, Torrijo-Blanche C, Gimeno-Ruiz S, Moreno-Franco B. Atherosclerosis Prevalence among Different Physical Activity Patterns in Adult Men. Journal of Clinical Medicine. 2024; 13(17):5062. https://doi.org/10.3390/jcm13175062

Chicago/Turabian Style

Perez-Lasierra, Jose Luis, Jose Antonio Casajús, Alejandro Gonzalez-Agüero, Jose Antonio Casasnovas, Carolina Torrijo-Blanche, Sofia Gimeno-Ruiz, and Belén Moreno-Franco. 2024. "Atherosclerosis Prevalence among Different Physical Activity Patterns in Adult Men" Journal of Clinical Medicine 13, no. 17: 5062. https://doi.org/10.3390/jcm13175062

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop