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1.
J Int Soc Sports Nutr ; 18(1): 51, 2021 Jun 28.
Article in English | MEDLINE | ID: mdl-34183020

ABSTRACT

BACKGROUND: Dietary supplement use among recreational athletes is common, with the intention of reducing inflammation and improving recovery. We aimed to describe the relationship between omega-3 fatty acid supplement use and inflammation induced by strenuous exercise. METHODS: C-reactive protein (CRP) concentrations were measured in 1002 healthy recreational athletes before and 24 h after a 91-km bicycle race. The use of omega-3 fatty acid supplements was reported in 856 out of 1002 recreational athletes, and the association between supplement use and the exercise-induced CRP response was assessed. RESULTS: Two hundred seventy-four subjects reported regular use of omega-3 fatty acid supplements. One hundred seventy-three of these used cod liver oil (CLO). Regular users of omega-3 fatty acid supplements had significantly lower basal and exercise-induced CRP levels as compared to non-users (n = 348, p < 0.001). Compared to non-users, regular users had a 27% (95% confidence interval (CI): 14-40) reduction in Ln CRP response (unadjusted model, p < 0.001) and 16% (95% CI: 5-28, p = 0.006) reduction after adjusting for age, sex, race duration, body mass index, delta creatine kinase, MET hours per week, resting heart rate and higher education. CLO was the primary driver of this response with a 34% (95% CI: 19-49) reduction (unadjusted model, p < 0.001) compared to non-users. Corresponding numbers in the adjusted model were 24% (95% CI: 11-38, p < 0.001). CONCLUSION: Basal CRP levels were reduced, and the exercise-induced CRP response was attenuated in healthy recreational cyclists who used omega-3 fatty acid supplements regularly. This effect was only present in regular users of CLO. TRIAL REGISTRATION: NCT02166216 , registered June 18, 2014 - Retrospectively registered.


Subject(s)
C-Reactive Protein/analysis , Cod Liver Oil/administration & dosage , Exercise/physiology , Vitamins/administration & dosage , Adult , Bicycling/physiology , Confidence Intervals , Creatine Kinase/blood , Fatty Acids, Omega-3/administration & dosage , Female , Heart Rate/physiology , Humans , Male , Middle Aged , Prospective Studies
2.
Sensors (Basel) ; 20(21)2020 Nov 08.
Article in English | MEDLINE | ID: mdl-33171676

ABSTRACT

Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many of the typical HRV measures are sensitive to data quality, manual artifact correction is common in literature, both as an exclusive method or in addition to various filters. With proliferation of Personal Monitoring Devices with continuous HRV analysis an opportunity opens for HRV analysis in a new setting. However, current artifact correction approaches have several limitations that hamper the analysis of real-life HRV data. To address this issue we propose an algorithm for automated artifact correction that has a minimal impact on HRV measures, but can handle more artifacts than existing solutions. We verify this algorithm based on two datasets. One collected during a recreational bicycle race and another one in a laboratory, both using a PMD in form of a GPS watch. Data include direct measurement of electrical myocardial signals using chest straps and direct measurements of power using a crank sensor (in case of race dataset), both paired with the watch. Early results suggest that the algorithm can correct more artifacts than existing solutions without a need for manual support or parameter tuning. At the same time, the error introduced to HRV measures for peak correction and shorter gaps is similar to the best existing solution (Kubios-inspired threshold-based cubic interpolation) and better than commonly used median filter. For longer gaps, cubic interpolation can in some cases result in lower error in HRV measures, but the shape of the curve it generates matches ground truth worse than our algorithm. It might suggest that further development of the proposed algorithm may also improve these results.


Subject(s)
Algorithms , Artifacts , Exercise , Heart Rate , Monitoring, Physiologic/instrumentation , Humans , Thorax
3.
Int J Cardiol ; 283: 1-8, 2019 05 15.
Article in English | MEDLINE | ID: mdl-30842026

ABSTRACT

BACKGROUND: The underlying mechanisms of the exercise-induced increase in cardiac troponins (cTn) are poorly understood. The aim of this study was to identify independent determinants of exercise-induced cTn increase in a large cohort of healthy recreational athletes. METHODS: A total of 1002 recreational cyclists without known cardiovascular disease or medication, participating in a 91-km mountain bike race were included. Median age was 47 years and 78% were males. Blood samples were obtained 24 h prior to, and 3 and 24 h after the race. RESULTS: Cardiac TnI concentrations increased markedly from baseline [1.9 (1.6-3.0) ng/L] to 3 h after the race [52.1 (32.4-91.8) ng/L], declining at 24 h after the race [9.9 (6.0-20.0) ng/L]. Similarly, cTnT increased from baseline [3.0 (3.0-4.2) ng/L] to 3 h after the race [35.6 (24.4-54.4) ng/L], followed by a decline at 24 h after the race [10.0 (6.9-15.6) ng/L]. The 99th percentile was exceeded at 3 h after the race in 84% (n = 842) of subjects using the cTnI assay and in 92% (n = 925) of study subjects using the cTnT assay. Shorter race duration and higher systolic blood pressure (SBP) at baseline were highly significant (p < 0.001) independent predictors of exercise-induced cTn increase both in bivariate and multivariable analysis. The age, gender, body mass index, training experience and cardiovascular risk of participants were found to be less consistent predictors. CONCLUSION: Systolic blood pressure and race duration were consistent predictors of the exercise-induced cTn increase. These variables likely reflect important mechanisms involved in the exercise-induced cTn elevation. TRIAL REGISTRATION NUMBER: NCT02166216 https://clinicaltrials.gov/ct2/show/NCT02166216.


Subject(s)
Athletes , Bicycling/physiology , Blood Pressure/physiology , Cardiovascular Diseases/blood , Exercise Tolerance/physiology , Troponin I/blood , Troponin T/blood , Adult , Biomarkers/blood , Cardiovascular Diseases/physiopathology , Electrocardiography , Female , Follow-Up Studies , Healthy Volunteers , Humans , Male , Middle Aged , Prognosis , Time Factors
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