scholarly journals Effect of Reducing Ambient Traffic-Related Air Pollution on Blood Pressure

Hypertension ◽  
2021 ◽  
Vol 77 (3) ◽  
pp. 823-832
Author(s):  
Neelakshi Hudda ◽  
Misha Eliasziw ◽  
Scott O. Hersey ◽  
Ellin Reisner ◽  
Robert D. Brook ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Air Pollution ◽  
Black Carbon ◽  
Mixed Model ◽  
Particle Number ◽  
Linear Mixed Model ◽  
High Efficiency ◽  
High Exposure ◽  
Carbon Concentrations

Exposure to traffic-related air pollution (TRAP) may contribute to increased prevalence of hypertension and elevated blood pressure (BP) for residents of near-highway neighborhoods. Relatively few studies have investigated the effects of reducing TRAP exposure on short-term changes in BP. We assessed whether reducing indoor TRAP concentrations by using stand-alone high-efficiency particulate arrestance (HEPA) filters and limiting infiltration through doors and windows effectively prevented acute (ie, over a span of hours) increases in BP. Using a 3-period crossover design, 77 participants were randomized to attend three 2-hour-long exposure sessions separated by 1-week washout periods. Each participant was exposed to high, medium, and low TRAP concentrations in a room near an interstate highway. Particle number concentrations, black carbon concentrations, and temperature were monitored continuously. Systolic BP (SBP), diastolic BP, and heart rate were measured every 10 minutes. Outcomes were analyzed with a linear mixed model. The primary outcome was the change in SBP from 20 minutes from the start of exposure. SBP increased with exposure duration, and the amount of increase was related to the magnitude of exposure. The mean change in SBP was 0.6 mm Hg for low exposure (mean particle number and black carbon concentrations, 2500 particles/cm 3 and 149 ng/m 3 ), 1.3 mm Hg for medium exposure (mean particle number and black carbon concentrations, 11 000 particles/cm 3 and 409 ng/m 3 ), and 2.8 mm Hg for high exposure (mean particle number and black carbon concentrations, 30 000 particles/cm 3 and 826 ng/m 3 ; linear trend P =0.019). There were no statistically significant differences in the secondary outcomes, diastolic BP, or heart rate. In conclusion, reducing indoor concentrations of TRAP was effective in preventing acute increases in SBP.

scholarly journals 279GWAS of heart rate in 87,759 Chinese subjects highlighted its genetic correlations with cardiometabolic traits

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Songchun Yang ◽  
Canqing Yu ◽  
Yu Guo ◽  
Zheng Bian ◽  
Robin G. Walters ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Genetic Correlations ◽  
Additive Model ◽  
Density Lipoprotein ◽  
Asian Cohort ◽  
Multiple Chronic Diseases ◽  
Cardiometabolic Traits

Abstract Background Resting heart rate (RHR) has been associated with risks of mortality and multiple chronic diseases. Previous studies, predominantly conducted in Europeans, have reported 91 independent variants associated with RHR and its genetic correlations with several cardiometabolic traits. Studies from East Asians are lacking. Methods We performed a GWAS for RHR in 87,701 participants aged 30-79 years from China Kadoorie Biobank (CKB). A linear mixed model was used under an additive model. Replication was conducted in 37,251 Chinese participants from CKB and UK Biobank. We conducted LD score regression to quantify genetic correlations across RHR and 11 cardiometabolic traits. Results Only 50 previously reported variants were replicated in CKB (=0.025). We identified ten novel loci associated with RHR (P<5 × 10-8), of which 50 candidate genes were prioritized. RHR showed significant genetic correlations with diastolic blood pressure (rg=0.258, P=5.71 × 10−10), mean arterial pressure (rg=0.225, P=3.08 × 10−8), systolic blood pressure (rg=0.170, P=4.92 × 10−5), plasma glucose (rg=0.197, P=0.003), total cholesterol (rg=0.287, P=0.012), and high-density lipoprotein (rg=0.246, P=0.030). Conclusions We identified ten novel loci associated with RHR in a large Asian cohort. The identified genetic correlations of RHR with blood pressure, glucose, and lipids indicate previously reported association of RHR with risk of all-cause death might be mediated via its correlations with cardiometabolic traits. Key messages

scholarly journals Usefulness of Linear Mixed-Effects Models to Assess the Relationship between Objective and Subjective Internal Load in Team Sports

2021 ◽  
Vol 18 (2) ◽  
pp. 392
Author(s):  
Alice Iannaccone ◽  
Daniele Conte ◽  
Cristina Cortis ◽  
Andrea Fusco
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Team Sports ◽  
Rating Of Perceived Exertion ◽  
Subjective Measures ◽  
Internal Load ◽  
Random Slopes ◽  
The Relationship

Internal load can be objectively measured by heart rate-based models, such as Edwards’ summated heart rate zones, or subjectively by session rating of perceived exertion. The relationship between internal loads assessed via heart rate-based models and session rating of perceived exertion is usually studied through simple correlations, although the Linear Mixed Model could represent a more appropriate statistical procedure to deal with intrasubject variability. This study aimed to compare conventional correlations and the Linear Mixed Model to assess the relationships between objective and subjective measures of internal load in team sports. Thirteen male youth beach handball players (15.9 ± 0.3 years) were monitored (14 training sessions; 7 official matches). Correlation coefficients were used to correlate the objective and subjective internal load. The Linear Mixed Model was used to model the relationship between objective and subjective measures of internal load data by considering each player individual response as random effect. Random intercepts were used and then random slopes were added. The likelihood-ratio test was used to compare statistical models. The correlation coefficient for the overall relationship between the objective and subjective internal data was very large (r = 0.74; ρ = 0.78). The Linear Mixed Model using both random slopes and random intercepts better explained (p < 0.001) the relationship between internal load measures. Researchers are encouraged to apply the Linear Mixed Models rather than correlation to analyze internal load relationships in team sports since it allows for the consideration of the individuality of players.

scholarly journals Improved Cardiovascular Tolerance to Hemorrhage after Oral Resveratrol Pretreatment in Dogs

2021 ◽  
Vol 8 (7) ◽  
pp. 129
Author(s):  
Jennifer Davis ◽  
Anthea L. Raisis ◽  
Claire R. Sharp ◽  
Rachel E. Cianciolo ◽  
Steven C. Wallis ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Placebo Group ◽  
Blood Loss ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Kidney Injury ◽  
Bleeding Risk ◽  
Canine Model ◽  
Coagulation Parameters ◽  
Renal Tubular

Resveratrol has been shown to preserve organ function and improve survival in hemorrhagic shock rat models. This study investigated whether seven days of oral resveratrol could improve hemodynamic response to hemorrhage and confer benefits on risk of acute kidney injury (AKI) without inducing coagulopathy in a canine model. Twelve greyhound dogs were randomly allocated to receive oral resveratrol (1000 mg/day) or placebo for seven days prior to inducing hemorrhage until a targeted mean blood pressure of ≤40 mmHg was achieved. AKI biomarkers and coagulation parameters were measured before, immediately following, and two hours after hemorrhage. Dogs were euthanized, and renal tissues were examined at the end of the experiment. All investigators were blinded to the treatment allocation. A linear mixed model was used to assess effect of resveratrol on AKI biomarkers and coagulation parameters while adjusting for volume of blood loss. A significant larger volume of blood loss was required to achieve the hypotension target in the resveratrol group compared to placebo group (median 64 vs. 55 mL/kg respectively, p = 0.041). Although histological evidence of AKI was evident in all dogs, the renal tubular injury scores were not significantly different between the two groups, neither were the AKI biomarkers. Baseline (pre-hemorrhage) maximum clot firmness on the Rotational Thromboelastometry (ROTEM®) was stronger in the resveratrol group than the placebo group (median 54 vs. 43 mm respectively, p = 0.009). In summary, seven days of oral resveratrol did not appear to induce increased bleeding risk and could improve greyhound dogs’ blood pressure tolerance to severe hemorrhage. Renal protective effect of resveratrol was, however, not observed.

scholarly journals Acute Effects of Air Pollution and Noise from Road Traffic in a Panel of Young Healthy Subjects

Proceedings ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 10 ◽  
Author(s):  
Hanns Moshammer ◽  
Julian Panholzer ◽  
Lisa Ulbing ◽  
Emanuel Udvarhelyi ◽  
Barbara Ebenbauer ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Air Pollution ◽  
Heart Rate Variability ◽  
Lung Function ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Levels ◽  
Pollution Levels ◽  
Busy Road

Twenty-four healthy students walked at least four times for 1 hour under each of the four settings: by a busy road; by a busy road wearing ear plugs; in a park; and in a park but exposed to traffic noise (65 dB) through speakers. Particle mass (smaller than 2.5 and 1 µm, PM1 and PM2.5, (respectively)particle number and noise levels were measured throughout each walk. Lung function and exhaled nitric oxide (NO) were measured before, immediately after, 1 hour after, and approximately 24 h after each walk. Blood pressure and heart-rate variability were measured every 15 min during each walk. Air pollution levels reduced lung function levels; noise levels reduced systolic blood pressure and heart-rate variability.

scholarly journals Heart Rate Variability and Physical Demands of In-Season Youth Elite Soccer Players

2021 ◽  
Vol 18 (4) ◽  
pp. 1391
Author(s):  
Javier Sánchez-Sánchez ◽  
Javier Botella ◽  
Jose Luis Felipe Hernández ◽  
Manuel León ◽  
Víctor Paredes-Hernández ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Intensity ◽  
External Load ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Training Stimulus ◽  
Negative Influence ◽  
Physical Demands ◽  
Total Distance

Monitoring fatigue and performance is important for adjusting training loads in soccer. Therefore, knowing the status of the player when applying a training stimulus is key to optimizing the players’ development. This study aims to evaluate the interaction between internal and external load, during training and matches, in an elite youth soccer team. Methods: seventeen youth players of the highest Spanish category were monitored with GPS devices during training and matches, as well as recording their nocturnal heart rate variability (HRV). We employed a linear mixed model to assess the physical demands between training and matches, and to compare the HRV variables. Results: a higher total distance (+2993.35–5746.56 m; ES = 1.4), distance at high intensity (+641.24–1907 m; ES = 1.5), sprint distance (+350.46–795.05 m; ES = 2.1), number of sprints (+18.38–41.58; ES = 1.9), and number of repeated sprints (+5.91–15.30; ES = 1.7) (all p < 0.001), but not in the number of accelerations, were reported during the matches when compared to the training sessions during the 11 weeks. The analysis of the HRV variables showed no significant differences between the accumulated values during a training week, providing similar results pre-match or post-match (p > 0.05). The LF/HFRATIO showed a negative influence on the total distance ran, distance at high intensity, distance in sprint, number of sprints, and repeated sprint. RRMEAN was positively related to the sprint number. Conclusion: the results of the present study suggest that nocturnal HRV variables are not different between pre-match and post-match. Furthermore, it suggests that LF/HFRATIO and RRMEAN during pre-match can determine the external load that the player will be able to complete during the match.

scholarly journals Utility of the Actiheart Accelerometer for Estimating Exercise Energy Expenditure in Female Adolescent Runners

2010 ◽  
Vol 20 (6) ◽  
pp. 487-495 ◽  
Author(s):  
Jeanne F. Nichols ◽  
Hilary Aralis ◽  
Sonia Garcia Merino ◽  
Michelle T. Barrack ◽  
Lindsay Stalker-Fader ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Young Female ◽  
Female Adolescent ◽  
Treadmill Running ◽  
Exercise Energy Expenditure ◽  
Post Hoc

There is a growing need to accurately assess exercise energy expenditure (EEE) in athletic populations that may be at risk for health disorders because of an imbalance between energy intake and energy expenditure. The Actiheart combines heart rate and uniaxial accelerometry to estimate energy expenditure above rest. The authors’ purpose was to determine the utility of the Actiheart for predicting EEE in female adolescent runners (N = 39, age 15.7 ± 1.1 yr). EEE was measured by indirect calorimetry and predicted by the Actiheart during three 8-min stages of treadmill running at individualized velocities corresponding to each runner’s training, including recovery, tempo, and 5-km-race pace. Repeated-measures ANOVA with Bonferroni post hoc comparisons across the 3 running stages indicated that the Actiheart was sensitive to changes in intensity (p < .01), but accelerometer output tended to plateau at race pace. Pairwise comparisons of the mean difference between Actiheart- and criterion-measured EEE yielded values of 0.0436, 0.0539, and 0.0753 kcal · kg−1 · min−1 during recovery, tempo, and race pace, respectively (p < .0001). Bland–Altman plots indicated that the Actiheart consistently underestimated EEE except in 1 runner’s recovery bout. A linear mixed-model regression analysis with height as a covariate provided an improved EEE prediction model, with the overall standard error of the estimate for the 3 speeds reduced to 0.0101 kcal · kg−1 · min−1. Using the manufacturer’s equation that combines heart rate and uniaxial motion, the Actiheart may have limited use in accurately assessing EEE, and therefore energy availability, in young, female competitive runners.

Association between sleep disturbance and nocturnal blood pressure profiles by a linear mixed model analysis: the Nagahama study

2019 ◽  
Vol 61 ◽  
pp. 104-109 ◽  
Author(s):  
Takeshi Matsumoto ◽  
Yasuharu Tabara ◽  
Kimihiko Murase ◽  
Kazuya Setoh ◽  
Takahisa Kawaguchi ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Disturbance ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Model Analysis ◽  
Mixed Model Analysis ◽  
Linear Mixed Model Analysis ◽  
Nocturnal Blood Pressure ◽  
Pressure Profiles
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