Inflation Pressure Research Articles

The Impact of the Federal Reserve’s Interest Rate Hikes on U.S. Inflation Rate

The Federal Reserve’s interest rate hikes have a significant impact on domestic economic activities and monetary policies in the United States. Since March 2022, the Federal Reserve has raised interest rates multiple times to counter domestic inflationary pressures. In this article, data on the U.S. inflation rate and the federal benchmark interest rate from January 2010 to March 2024 were extracted, and an ARIMA model was used for analysis to predict how the U.S. inflation rate will develop under the condition of interest rate hikes. The study found that after the Federal Reserve raised interest rates, the inflation rate in the United States also rose. The reasons for this situation may be due to increased inflation expectations and external factors such as COVID-19. To mitigate risks brought by the rise in inflation, such as asset devaluation, commodity price volatility, and reduced investment returns, investors can adopt strategies like diversifying their investments, closely monitoring the Federal Reserve’s interest rate hikes, and avoiding high-leverage investments.

A Scientific Discussion of Post-Materialism Values and Environmental Behavior

Inglehart developed a theory examining the changes of values in post-industrial societies from materialist towards post-materialist views. Inglehart contended that the rise of post-materialism helps explain the rise of environmentalism since the 1960s. Through a 2022 survey targeting individual utility customers, we employed Inglehart’s post-materialist index examining the impact of environmental behavior and other attributes. This study considers demographic profiling for material and post-materialist views in light of recent social movements and inflationary pressures. We observed that materialists, predominately Asians and Whites, tend to be older, are homeowners, are either married or widowed, and have lived in their homes the longest. Post-materialists were also found to be young, partnered, politically liberal, and least likely to be Asian. While investigated, environmental behavior was not explained by any of the demographic characteristics. We suggest research assessing any value shifts pertaining to attitudes and behaviors towards environmental behavior. Future research should obtain a more representative minority-group sample.

Effects of an Eventual Upcoming Withdrawal of Pension Funds

The three withdrawals from pension funds injected almost US$ 50.000 billion into the market bringing with them inflationary pressures in the short and medium term, a decision that was harmful to people and companies. On the economic side, more than half of domestic inflation is due to the three withdrawals, decreasing the value of people´s money and increase the interest rates. On the pension side, eleven million people managed to withdraw their money and almost four million people were left without their funds. For women a drop of 33% in the amount of the future pension and for men a 24% on average. And on the financial side, a destruction of the capital market causing a significant drop in assets prices and companies to stop investing in big projects in Chile. During 2023, a new project was carried out on a new withdrawal of pension funds but it the form of a self-loan, a benefit that would have between one million and ten million Chilean pesos saved in their accounts to withdraw up to one million Chilean pesos. The purpose of this work is to see the effects of a possible fourth withdrawal from pension funds. And we conclude that an upcoming retirement has three consequences. In the economic sense, it would bring with another increase in the monetary base, which in turn translates into an increase in inflation. In the sense of pensions, more than three million people would again run out of funds and would cause a potential additional 16% drop in the amounts of future pension affecting the current saving of contributors. Finally, in the financial sense, the capital markets would be destroyed, causing a significant drop in assets prices and companies to stop investing in big projects in Chile.

Comfort evaluation and physiological effects/autonomic nervous system response of inflatable deep pressure vest in reducing anxiety

BackgroundDeep pressure therapy treats anxiety by triggering physiological responses and promoting calmness. Moreover, measuring user comfort can improve product quality. ObjectiveTo investigate the physiological effects and subjective comfort level of inflatable deep pressure vests to enhance their calming effect. MethodsExperimental research was conducted with a one-group pretest-posttest design for physiological effects using pulse oximetry for peripheral pulse rate and a one-shot case study for three subscale parameters that help evaluate comfort (pressure, touch, and mobility) using the Numerical Rating Scale (NRS). Deep pressure intervention using the Inflatable Vest was performed for three sessions, each lasting 5 min. ResultsThis study was conducted with 46 participants (24 males, 22 females) aged 17–20 (19.52 ± 0.78). Although pulse rate consistently decreased in all sessions, session 1 showed a significant decrease (p = 0.014*, d = 0.379), whereas sessions 2 (p = 0.274, d = 0.163) and 3 (p = 0.597, d = 0.078) demonstrated non-significant decreases with small effect sizes. The pressure comfort subscale showed that 87.0 %, 4.3 %, and 8.7 % of the participants, and the touch comfort subscale test revealed that 82.6 %, 8.7 %, and 73.9 % of the participants rated it as comfortable, very comfortable, and less comfortable, respectively. The mobility subscale test showed that 73.9 % of the participants rated no limitation, 17.4 % rated somewhat limited, and only 8.7 % rated limitation. Decreased pulse rate and pressure comfort were significantly positively correlated (r = 0.282**, p < 0.01), whereas touch pressure and mobility were not (r = 0.160, p > 0.05; and r = 0.121, p > 0.05, respectively). Decreased pulse rate was also positively correlated with the overall score for the three aspects (r = 0.201*, p < 0.05) ConclusionsA comfortable inflatable deep pressure vest provides a physiologically calming effect for therapeutic modalities.

Price level differences in the euro area: the case of Greece

Recent inflationary pressures have significantly affected household disposable incomes across Europe, with Greece being particularly impacted due to its low purchasing power. This study investigates the persistence and evolution of price level differences for fast-moving consumer goods in Greece compared to other euro area countries. It utilises the results of Dixon et al. (2023), who analysed price level differences across 41 product categories in ten euro area countries and found that the main factors contributing to price level differences include producer market competition, retail market structure, local costs and consumer habits. Building on these findings, we construct counterfactual prices and show that aligning Greece’s market structures and consumer behaviour patterns with the euro area average could significantly reduce prices (by 17 percentage points on average for the products with the highest share in total sales). The study also finds that although Greece has become cheaper in relative terms in recent years, it is still, on average, about 10% more expensive compared to euro area countries’ average. These results imply that there is scope for policy action, in particular, in areas that increase competition among producers, improve the structure of the retail market and enhance consumer economic literacy.

Cross-Country Analysis of Inflation Experiences and Homeownership: A Qualitative Review

This qualitative literature review examines the relationship between inflation experiences and homeownership across countries. Drawing on a synthesis of existing research, the review explores how historical inflation contexts influence individuals' decisions to invest in real estate. Findings indicate that periods of high inflation often motivate individuals to view homeownership as a hedge against inflationary pressures, particularly in economies with volatile economic conditions. Institutional factors, such as mortgage market structures and housing policies, play a crucial role in shaping this relationship, influencing overall homeownership rates across different regions. Immigrant populations bring unique perspectives, as their housing decisions in host countries are influenced by inflation experiences in their countries of origin. The review highlights methodological diversity and calls for more longitudinal and cross-country studies to enhance the robustness and generalizability of findings. Addressing these dynamics can provide insights into effective policy interventions aimed at promoting sustainable housing markets globally.

Inflation effects of oil and gas prices in the UK: Symmetries and asymmetries

The United Kingdom is among the countries experiencing a cost-of-living crisis believed to be influenced, at least in part, by the dynamics of the international oil and gas markets. To this end, this study aims to achieve to achieve two objectives. Firstly, the dynamic association between the UK's inflation and oil and gas prices is examined. Further, the study examines whether the response of the UK's inflation to energy price dynamics is (a)symmetric. This study adopts wavelet coherency to determine the dynamic co-movement between energy prices and inflation. In addition, the dynamic simulated autoregressive distributed lag model (DS-ARDL) is used to examine the dynamic response of inflation to energy price changes. The estimation results reveal a symmetric response of inflation to gas price shocks. Further, the response of inflation to oil price shocks is asymmetric. Interestingly, the effect of gas price dynamics passes more strongly to inflation than to oil price dynamics. These findings suggest that a more diversified energy mix could help prevent substantial energy price pass-through to inflationary pressures.

Threshold inflation and relative price variability – a proposal for inflation targeting in Lebanon

PurposeThe study investigates the impact of inflation on the variability of relative prices in the context of Lebanon.Design/methodology/approachUnlike the traditional method, which relies on the variance of cross-sectional price changes measured at specific points in time to gauge the variability in relative prices, we employ a more appropriate approach. Under this approach, we capture the dispersion in relative prices by estimating how widely (or closely) a set of commodity prices drift apart over a span of time, offering a more comprehensive assessment. Firstly, we employ Johansen’s cointegration test on rolling subsamples to determine the number of statistically significant cointegrating vectors among the prices of 12 major commodity groups. Under this approach, an increase in the number of significant cointegrating vectors indicates a reduction in relative price variability, while a decrease suggests the opposite. Subsequently, we employ ordinary least squares regression to analyze how the fluctuations in inflation affect the variability in relative prices. The sample period ranges from December 2007 to April 2021.FindingsThe empirical results indicate that there exists a certain threshold inflation rate corresponding to which the variability in relative prices is minimized. More importantly, consistent with the theoretical predictions, the results suggest that it is not inflation per se, but the deviation of inflation from the 3% threshold level in either direction that causes higher dispersion in relative prices.Research limitations/implicationsThe empirical findings from this study have crucial implications for the operation of monetary and fiscal policy. In particular, these findings suggest that stabilizing long-term inflation around a certain threshold rate will not only help to anchor inflation expectations effectively but will also minimize the welfare costs associated with inflation.Originality/valueGiven the rising inflationary pressure in the recent past and its welfare costs, the study assumes crucial importance in understating how fluctuations in inflation distort the relative price structure and eventually cause resource misallocations and economic inefficiency.

A cylindrical shell model with distributed springs for a rotating tire

In a companion paper (Vol. 248, Article 108227), we demonstrated the dependence of tire parameters on the modal characteristics of a stationary tire. For a more realistic scenario, when tire rotation is considered, the modal characteristics are veered due to centrifugal, Coriolis, and gyroscopic effects. In this paper, we study the forced vibration response of a rotating tire and also consider the effect of static load on modal characteristics. The tire tread is modeled as a cylindrical shell and the sidewall is modeled using distributed springs in axial, circumferential, and radial directions. The tire inflation pressure is accounted for, which generates pre-stresses in the tire belt in circumferential and axial directions. The material model incorporates an orthotropic composite structure of the tire with multiple stacked layers of steel belt reinforcing. The governing equations of motion of the rotating shell are derived and further reduced to the corresponding eigenvalue problem. Galerkin’s projection with orthogonal basis functions is used to obtain the natural frequencies and associated mode shapes. For the forced vibration, the tire is excited by a harmonic point load at a fixed location, and the response is calculated by superimposing the basis functions of the free vibration problem. The analytical model predictions are compared against the computation finite element (FE) model developed in ABAQUS® and experimental modal testing results. To understand the effects of rotation on wave propagation, dispersion relations were obtained, and the wave number spectrum of the rotating tire was compared with that of the stationary one. Finally, to understand the dependence of natural frequencies on tire rotation and normal load, Campbell diagrams and frequency response functions (FRFs) were obtained from the proposed model. The model shows a fairly good agreement with experimental results and FE simulations.

A novel minimally invasive and versatile kyphoplasty balloon-based model of porcine spinal cord injury.

Spinal cord injury (SCI) animal models often utilize an open surgical laminectomy, which results in animal morbidity and also leads to changes in spinal canal diameter, spinal cord perfusion, cerebrospinal fluid flow dynamics, and spinal stability which may confound SCI research. Moreover, the use of open surgical laminectomy for injury creation lacks realism when considering human SCI scenarios. We developed a novel, image-guided, minimally invasive, large animal model of SCI which utilizes a kyphoplasty balloon inserted into the epidural space via an interlaminar approach without the need for open surgery. The model was validated in 5 Yucatán pigs with imaging, neurofunctional, histologic, and electrophysiologic findings consistent with a mild compression injury. Few large animal models exist that have the potential to reproduce the mechanisms of spinal cord injury (SCI) commonly seen in humans, which in turn limits the relevance and applicability of SCI translational research. SCI research relies heavily on animal models, which typically involve an open surgical, dorsal laminectomy which is inherently invasive and may have untoward consequences on animal morbidity and spinal physiology that limit translational impact. We developed a minimally invasive, large animal model of spinal cord injury which utilizes a kyphoplasty balloon inserted percutaneously into the spinal epidural space. Balloon inflation results in a targeted, compressive spinal cord injury with histological and electrophysiological features directly relevant to human spinal cord injury cases without the need for invasive surgery. Balloon inflation pressure, length of time that balloon remains inflated, and speed of inflation may be modified to achieve variations in injury severity and subtype.

Development of a Hydraulic Damping Device to Protect a Centrifugal Pump

This study focuses on the utilization of hydraulic accumulators to mitigate hydraulic shock. The pressure energy within the system is converted into compressed gas energy in the accumulator. This continuous conversion between the two forms of energy allows for the absorption of hydraulic shock force, thereby ensuring system stability. The study involved the creation of experimental circuits, which were tested both with and without the inclusion of a hydraulic accumulator. The results confirmed that the accumulator has a substantial impact on reducing hydraulic shock phenomena. The study's findings demonstrate that the shocks in the hydraulic system can be efficiently managed by selecting an appropriate inflation pressure for the accumulator and utilizing various connection line data.

Effects of globalization and financial inclusion on energy intensity: The case of emerging economies

This research examines the effects of globalization and financial inclusion on the energy intensity of selected sixteen emerging economies by controlling the effects of economic growth, inflation, and stock market capitalization. The study period covers twenty-two years, starting from 2000 and ending in 2021, providing a complete perspective on the changing dynamics inside these countries. The study employs the novel technique of Method of Moment Quantile Regression (MMQR) to empirically assess the interlinkages between the employed factors on energy intensity. The findings suggest that when economies expand, engage in global trade, and encounter inflationary pressures, they tend to exhibit remarkable changes in energy intensity. The results find negative effects of globalization, GDP, and inflation on energy intensity. In contrast, a positive correlation exists between financial inclusion, stock market capitalization, and energy intensity. Policies must be designed with the objective of harnessing the advantages of globalization in order to enhance energy efficiency, encompassing elements such as technology transfer and regulatory harmonization. Concurrently, it is imperative to establish a sound relationship between financial inclusion and the expansion of stock markets, while also integrating sustainable energy practices.

Sensitivity analysis of fibrous thick-walled tubes with mechano-sensitive remodeling fibers in homeostasis

In this article, we apply the sensitivity analysis method to capture the influence of various parameters on the inflation pressure, axial force, and the deformation for an inflated and axially stretched cylinder. The material consists of an isotropic ground substance material reinforced with fibers that undergo a continuous and mechano-sensitive remodeling process. The input parameters of the mechanical system are assumed to be distributed according to the uniform probability distribution function. In the sensitivity analysis, we apply the Sobol method to determine how the variations of input parameters affect the inflation as well as the axial force in the cylinder. Special attention is given to the fiber remodeling process associated with a homeostatic balance between the constant fiber creation process and the strain-stabilized fiber dissolution. The results may help to understand the importance of the effect of material parameter changes, for example, due to remodeling processes in the context of diseases or recovering processes, on the overall tissue behavior.

Excess capacity and hysteresis in EU Countries. A structural approach

We develop a structural method to estimate the rate of capacity utilization in 12 EU countries that consists of identifying the structural parameters of a Leontief production function, using a parsimonious theoretical specification. Parameters are correctly identified, stable and robust to alternative specifications. Our results provide evidence of persistent excess capacity and hysteresis in the rate of capacity utilization in many EU countries, especially after the 2008′s global financial crisis, thereby supporting the claim that larger fiscal deficits would have contributed to absorb excess capacity without producing persistent inflationary pressures or debt unsustainability. Despite the simplicity of our model, the method allows more complex macroeconomic specifications for country-specific applications.

Evaluation of artificial neurocomputing algorithms and their metacognitive robustness in predictive modeling of fuel consumption rates during tillage

Artificial intelligence (AI) requires complex neurocomputing algorithms (NCAs) for robustness in predictive modeling. Since 1990, a plethora of NCAs have evolved, challenging selection of the most intelligent and error-tolerant model for predicting fuel consumption rate (ØFuel) in tillage. This study adopted 12 recent NCAs in modeling 72 neurocomputing architectures and evaluated their metacognitive robustness in predicting ØFuel using 80 tillage datasets. These included Levenberg-Marquardt (trainlm), Quasi-newton (trainbfg), Powell-Beale conjugate gradient (traincgb), Scaled conjugate gradient (trainscg), Fletcher-reeves conjugate gradient (traincgf), Polak-ribiére conjugate gradient (traincgp), Onestep secant (trainoss), Bayesian regularization (trainbr), Resilient backpropagation (trainrp), Gradient descent (traingd), Learning rate gradient descent (traingdx) and Gradient descent momentum (traingdm). Tillage variables were sequentially subjected to NCA architectures learning on logsig, Purelin, and tansig neuro-activation functions, targeting 1000 epochs. Neuro-cognitive performance was evaluated through broad multi-criteria of regressed neuron input–output functions using heuristic and accuracy metrics, i.e., training time (t), number of hidden layers (NL), and neurons (Nn), optimal epoch (Eopt), Coefficient of correlation (R) and determination (R2), Mean square error (MSE), Root mean square error (RMSE), Mean absolute error (MAE), Mean absolute percentage error (MAPE), Sum square error (SSE), Prediction scatter (Tscatter), Coefficient of variation (CV) and Prediction accuracy (PA). Prediction reliability and robustness were evaluated using a20-index (a20), Willmott’s index of agreement (IOA), Index of scatter (IOS), Variance accounted for (VAF), Performance index (PI), Total score rank (ξtotal), Sensitivity index (SAij) and Anderson-Darling (AD) test. Results indicated that varying NL and Nn did not correspond with t, Eopt and PA but only occurred in single-layered trainbr and double-layered trainlm. Although PA increased at reduced convergence error limits, relationships among Eopt, t, and PA were unclear. Single-layered trainbr (14-20-1) outperformed all NCAs with R (0.9993), R2 (0.9986), MSE (6.34e-06), RMSE (0.0025), MAE (0.003), MAPE (1.4e-06), SSE (8e-04), R2All (0.9998) Tvalue (1.0), CV (3.232 %) and PA (99.81 %). However, trainlm (14-20-10-1) most accurately modeled double-layered architectures i.e. R (0.9932), R2 (0.9864), MSE (7.4e-05), RMSE (0.009), MAE (0.004), MAPE (0.003), SSE (0.003), R2All (0.9929), Tvalue (0.9998), CV (3.212 %) and PA (97.8 %). Nonetheless, trainbr (14-20-1) achieved the best reliability metrics of a20 (100 %), VAF (99.98 %), IOA (1.00), PI (1.9971), IOS (0.0115), ξtotal (284) and AD-test (2.6852). Sensitivity analysis revealed that tractive force had the most significant influence on ØFuel while tire inflation pressure had the least. Learning on transig neuro-activation function in single-layered neural network, metacognitive robustness of trainbr is superiorly merited for predicting ØFuel during tillage.

Inflation and stock return volatility in selected African countries: A GARCH-MIDAS approach

Amidst persistent inflationary pressures in Africa and central banks raising rates to counter inflation, leading to a shift from stocks to alternative assets and impacting stock return volatility, this paper investigates the influence of inflation on stock return volatility in five African countries using the GARCH-MIDAS approach, using mixed data of daily and monthly frequencies. We observe that inflation is important for stock return volatility, as higher inflation increases volatility and reduces returns. Our results provide a better understanding of the dynamics of stock market volatility while accounting for the role of inflation, using the natural frequencies of the variables. Our findings encourage monetary authorities to communicate their inflation expectations to the market participants/investors to moderate negative stock return volatility.

Exploring the Impact of Remittance and Economic Growth on Inflation

This study investigates the influence of remittance income and economic growth on the inflation rate in South Asian Association for Regional Corporation (SAARC) countries. Remittance inflows have a double effect on the economy’s inflation rate: firstly, it increases consumer spending capacity, driving up demand for goods and services, which can lead to higher prices; secondly the influx of foreign currency can cause local currency appreciation, raising import costs and contributing to inflation. While previous studies have focused primarily on how inflation hinders economic growth, this study seeks to understand how economic growth causes inflation from the other side. Economic growth boosts consumer and business spending, increasing demand for goods and services, which can increase prices. Furthermore, higher demand for resources and labor can raise production costs, further contributing to inflation. The correlation between remittance income and inflation has been extensively documented, but the impact of economic growth on inflation remains to be determined. The study is based on descriptive and exploratory research design and driven by a positivist research philosophy. The present study is based on secondary data collected from World Bank reports and the countries’ economic surveys. This study uses an unbalanced panel dataset of 272 data points from eight member countries of SAARC. Basic econometric techniques such as covariance analysis, panel unit root testing, panel autoregressive distributed lag model, and scaled coefficient analysis are employed. The remittance income is only statistically significant at the 10 percent significance level. A one percent increase in remittance income leads to a 0.284 percent increase in inflation over the long run. The growth rate of gross domestic product plays a crucial role in setting inflation. One percent rise in gross domestic product growth leads to a 0.3405 percent increase in inflation in the long term. The error correction term exhibits a negative and statistically significant relationship. The coefficient size suggested that around 65.14 percent of the disequilibrium was rectified in each cycle. The current year’s lagged gross domestic product growth negatively and statistically significantly impacts economic growth. One percent rise in gross domestic product growth led to 0.3308 percent fall in inflation in the short term across SAARC countries. The results indicate that remittance income has a minimal long-term effect on inflation in SAARC nations, whereas gross domestic product growth substantially impacts inflation. Policymakers should prioritize promoting sustainable economic growth to mitigate inflationary pressures effectively.

MITIGATING INFLATION: A COMPREHENSIVE ANALYSIS OF POLICY MEASURES AND THEIR IMPACTS ON THE U.S. ECONOMY

Background: Inflation is the continuous increase in the general price level of goods and services over time. In the context of the United States, managing inflationary pressures has been a permanent challenge tangled with economic stability and growth. The primary objective of this study is to systematically evaluate the impact of different policy measures on inflation dynamics in the U.S. economy. Methods: This study utilized a mixed-methods approach, combining quantitative and qualitative data. Quantitative data were collected through surveys administered to U.S. policymakers. These survey responses were then analyzed using time series analysis techniques. On the other hand, qualitative data were gathered through interviews, providing valuable insights. Thematic analysis was employed to explore patterns and themes within the qualitative data. Results: To effectively address inflation and its volatility, the U.S. should maintain its existing M.P. framework while enhancing the precondition and subsequent requirements for its adoption. Conclusion: It underscores the need for a comprehensive approach considering the interplay between different policy measures and their broader economic impacts. This research provides a foundation for the subsequent analysis to fill the identified gaps and contribute to the ongoing discourse on effective inflation control strategies in the U.S. economy.

Assessing the Influence of Economic Growth, Inflation, Debt, Interest Rate, and Exchange Rate on Trade in Pakistan

This study is carried out to examine the influence of economic growth, inflation, debt, interest rate and exchange rates on trade dynamics in Pakistan. The regression analysis of the Autoregressive Distributed Lag (ARDL) model is based on the data from 1998 to 2022. The findings confirm the mixed affectations on trade. Except for GDP and EXR, the rest of the variables possess a negative association with trade. The implications drawn from these results underscore the importance for policymakers and government officials to prioritize measures aimed at maintaining a stable exchange rate regime in Pakistan as well as GDP to foster trade while also focusing on strategies to mitigate inflationary pressures, maintain progressive interest rate, and decrease in the public debt.

Immediate Increase in the Root Mean Square of Successive Differences after Three Bouts of Remote Ischemic Preconditioning: A Randomized Controlled Trial.

(1) Background: Remote ischemic preconditioning (RIPC) is an intervention involving the application of brief episodes of ischemia and reperfusion to distant tissues to activate protective pathways in the heart. There is evidence suggesting the involvement of the autonomic nervous system (ANS) in RIPC-induced cardioprotection. This study aimed to investigate the immediate effects of RIPC on the ANS using a randomized controlled trial. (2) Methods: From March 2018 to November 2018, we conducted a single-blinded randomized controlled study involving 51 healthy volunteers (29 female, 24.9 [23.8, 26.4] years). Participants were placed in a supine position and heart rate variability was measured over 260 consecutive beats before they were randomized into either the intervention or the SHAM group. The intervention group underwent an RIPC protocol (3 cycles of 5 min of 200 mmHg ischemia followed by 5 min reperfusion) at the upper thigh. The SHAM group followed the same protocol but on the right upper arm, with just 40 mmHg of pressure inflation, resulting in no ischemic stimulus. Heart rate variability measures were reassessed afterward. (3) Results: The intervention group showed a significant increase in RMSSD, the possible marker of the parasympathetic nervous system (IG: 14.5 [5.4, 27.5] ms vs. CG: 7.0 [-4.3, 23.1 ms], p = 0.027), as well as a significant improvement in Alpha 1 levels compared to the control group (IG: -0.1 [-0.2, 0.1] vs. CG: 0.0 [-0.1, 0.2], p = 0.001). (4) Conclusions: Our results hint that RIPC increases the RMSSD and Alpha 1 parameters showing possible immediate parasympathetic modulations. RIPC could be favorable in promoting cardioprotective or/and cardiovascular effects by ameliorating ANS modulations.