Maximum Benefit Research Articles

From deconstruction to reconstruction: A search for natural kinds in developmental psychopathology.

A "natural kind" is a specific classification that identifies some structure of truth and reality, a delimited entity. Psychiatric disorders are not natural kinds. As one moves from physics and chemistry to biology and medicine, natural kinds degrade, and the boundaries of differentiating phenomena become less clear. Within psychiatry, the categorization of psychopathology has further ontological challenges, especially across development. We suggest that to identify and isolate clinical subgroups, it is critical to integrate external validators in an iterative process, with the goal of linking classification to treatments with maximal clinical benefit. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Top Tips for Your First Intensive Care Medicine Post as a Doctor.

An Intensive Care Medicine (ICM) rotation provides fantastic learning opportunities for doctors of all specialties. Understanding your role in this highly specialised field will assist you in gaining maximal benefit from your time in ICM while ensuring the best outcomes for your patients. It can be quite daunting reviewing deteriorating patients and admitting patients to the Intensive Care Unit (ICU). This article provides tips and advice for doctors new to the specialty, and will be a useful guide for medical, surgical, and emergency medicine trainees before they begin working in the ICU for the first time. We provide a structured, systematic framework which can be used comprehensively to assess ICU patients.

Effect of low-dose aspirin intervention on pre-eclampsia prevention in high-risk pregnant women and its impact on postpartum hemorrhage

BackgroundPre-eclampsia, characterized by hypertension and organ dysfunction during pregnancy, poses significant risks to both maternal and fetal health. Aspirin, known for its antiplatelet properties, has been extensively utilized to mitigate pregnancy-related complications. However, the efficacy of low-dose aspirin in managing pre-eclampsia among high-risk pregnant women and its potential impact on postpartum hemorrhage remain contentious topics.MethodsA retrospective analysis was conducted on 344 pregnant women diagnosed with high-risk factors for pre-eclampsia. Among them, 152 received intervention with low-dose aspirin, while the rest did not receive it. The incidence of pre-eclampsia, as well as related complications and outcomes associated with bleeding, were compared and evaluated between the two groups.ResultsThe study findings indicate a significant reduction in the incidence of pre-eclampsia among pregnant women receiving low-dose aspirin intervention, along with a significantly reduced risk of complications. Additionally, there was no significant statistical difference in postpartum hemorrhage between the two groups (p > 0.05). The safety profile of aspirin usage was found to be favorable.ConclusionLow-dose aspirin demonstrates promising efficacy as an intervention strategy for high-risk preeclamptic women. It does not increase the risk of postpartum hemorrhage and reduces the occurrence of complications associated with preeclampsia. Therefore, low-dose aspirin presents a potential preventive measure against adverse outcomes associated with high-risk pregnancies related to preeclampsia. Further research is necessary to validate and elucidate the optimal dosage and timing of administration for maximal benefits.

Effect of slope on water run-off and soil vulnerability in an unglaciated sub-watershed: a case study of conservation practice siting

For maximization of soil and water quality benefits, the right agricultural conservation practices (CPs) should be practiced for the right place. The Agricultural Conservation Planning Framework (ACPF) is a tool that helps decision makers achieve precise conservation within a target watershed using rapid, low-cost Geographic Information System-based tools. ACPF takes the information on landscape characteristics and combines it with user input to identify locations susceptible to soil loss and water run-off and suggest potential CP locations. Suggested CPs may further be analyzed for urgency, installation cost, and effectiveness. In this study, ACPF was applied to analyze soil and water vulnerability within a small unglaciated sub-watershed in southwest Wisconsin and identify potential CP practices and recommended placement sites. To promote environmental sustainability in the agriculture sector, land managers are tasked with implementing CPs, but often lack adequate information on the most effective practice and placement strategy. Field-scale siting of CPs was achieved using high-resolution terrain derivatives and accurate simulation of the stream network. Slope disaggregation among soil loss vulnerability categories was also conducted. Greatest sources of vulnerability were associated with slope and erodibility factors, with average slope within cropped fields being 6% and erodibility being as high as 43%. Fields classified as critical for conservation had a mean slope of 7.4%. Suggested contour buffer strip (CBS) placement per field varied with slope, with steeper fields having denser placement. The results suggested that 3% of cropland could be removed from production if the recommended placement of CBS was implemented. A further 0.2% of the sub-watershed area would go to grassed waterways. The results support implementation of effective CPs based on local conditions and act as a tool to help reveal if existing practices in the sub-watershed are of a size and extent comparable to the predicted potential.

Applying portfolio theory to benefit endangered amphibians in coastal wetlands threatened by climate change, high uncertainty, and significant investment risk

The challenge of selecting strategies to adapt to climate change is complicated by the presence of irreducible uncertainties regarding future conditions. Decisions regarding long-term investments in conservation actions contain significant risk of failure due to these inherent uncertainties. To address this challenge, decision makers need an arsenal of sophisticated but practical tools to help guide spatial conservation strategies. Theory asserts that managing risks can be achieved by diversifying an investment portfolio to include assets – such as stocks and bonds – that respond inversely to one another under a given set of conditions. We demonstrate an approach for formalizing the diversification of conservation assets (land parcels) and actions (restoration, species reintroductions) by using correlation structure to quantify the degree of risk for any proposed management investment. We illustrate a framework for identifying future habitat refugia by integrating species distribution modeling, scenarios of climate change and sea level rise, and impacts to critical habitat. Using the plains coqui (Eleutherodactylus juanariveroi), an endangered amphibian known from only three small wetland populations on Puerto Rico’s coastal plains, we evaluate the distribution of potential refugia under two model parameterizations and four future sea-level rise scenarios. We then apply portfolio theory using two distinct objective functions and eight budget levels to inform investment strategies for mitigating risk and increasing species persistence probability. Models project scenario-specific declines in coastal freshwater wetlands from 2% to nearly 30% and concurrent expansions of transitional marsh and estuarine open water. Conditional on the scenario, island-wide species distribution is predicted to contract by 25% to 90%. Optimal portfolios under the first objective function – benefit maximization – emphasizes translocating frogs to existing protected areas rather than investing in the protection of new habitat. Alternatively, optimal strategies using the second objective function – a risk-benefit tradeoff framework – include significant investment to protect parcels for the purpose of reintroduction or establishing new populations. These findings suggest that leveraging existing protected areas for species persistence, while less costly, may contain excessive risk and could result in diminished conservation benefits. Although our modeling includes numerous assumptions and simplifications, we believe this framework provides useful inference for exploring resource dynamics and developing robust adaptation strategies using an approach that is generalizable to other conservation problems which are spatial or portfolio in nature and subject to unresolvable uncertainty.

CNN-BiLSTM-Attention Based Stock Price Prediction and Quantitative Investment Strategy

With the rapid development of technology and the increasing maturity of financial markets, stock price prediction has become a hot topic and an important trend in the financial field. However, the stock market has complexity and volatility, in order to reduce the investment risk and ensure the maximization of benefits, selecting the optimal stock to predict the stock price and formulating the quantitative trading strategy are extremely important issues for financial academics and investors. For the research of stock price prediction and quantitative trading, firstly, the quantitative stock selection model combining XGBoost and multi-factor stock selection model is constructed, and four stocks are screened out, and then the CNN-BiLSTM-Attention model is proposed to predict the stock price trend of the selected stocks, and it is found from the prediction results of the four stocks that the prediction accuracies all reach more than 95%, which is higher than that of the single model prediction. accuracy and passed the validity test of the fitted model. Secondly, based on the quantitative investment portfolio given in the above analysis and the quantitative stock trading strategy of MACD, the prediction results are verified, and the total return of most stocks based on the strategy is higher than 40% at the highest, and the loss is controlled within 10%, which indicates that the trading strategy in this paper is effective and feasible. The study concludes that greater returns can be obtained by calculating the total returns of stock portfolios based on different portfolio approaches.

Effectively Utilizing Infrastructure to Achieve Economic and Societal Growth in Developing Countries

Developing countries can benefit economically and socially from the construction of infrastructure. However, poor policy decisions regarding investment in public goods and services often impede infrastructure’s effectiveness in achieving such benefits. This paper seeks to provide a coherent framework for developing countries to consider when planning and implementing infrastructure projects. Gathering insights and policy suggestions from various relevant studies, it proposes three factors necessary for developing countries to consider. These three factors emphasize individual quality of life and long-term development instead of simple short-term economic growth described by basic economic indicators. They also account for the social and environmental concerns or implications of infrastructure construction, often overlooked in many policy agendas. The first factor is the efficiency of expenditure and accessibility of infrastructure, achieved through the consideration of diminishing returns to scale for capital investment and an emphasis on the delivery, not just the provision, of public services; the second is resilience and sustainability in the context of local environmental attributes and regional independence during the decision-making process; the third is the maximization of indirect benefits, most notably the increases in human capital and productivity caused by infrastructure construction.

Ethics in humanitarian settings-relevance and consequences for dialysis and kidney care.

With the increasing frequency and severity of disasters and the increasing number of patients living with kidney disease, on dialysis and with transplants around the world, the need for kidney care in humanitarian settings is increasing. Almost all humanitarian emergencies pose a threat to kidney health because all treatments are highly susceptible to interruption, and interruption can be deadly. Providing support for people requiring dialysis in humanitarian settings can be complex and is associated with many trade-offs. The global kidney care community must become familiar with the ethics, principles and duties essential to meeting the overarching goals of ethical and effective disaster relief. Ethics principles and values must be considered on the individual, public health and global levels. The wellbeing of a single patient must be considered in the context of the competing needs of many others, and optimal treatment may not be possible due to resource constraints. Public health ethics principles, including considerations of triage and resource allocation, maximization of benefit and feasibility, often become directly relevant at the bedside. Individuals delivering humanitarian relief must be well trained, competent, respectful and professional, while involved organizations need to uphold the highest professional and ethical standards. There may be dissonance between ethical guidance and practical realities in humanitarian settings, which for inexperienced individuals may present significant challenges. Sustaining dialysis care in emergencies brings these issues starkly to the fore. Preparedness for dialysis in emergencies is an ethical imperative that mandates multisectoral stakeholder engagement and action, development of surge response plans, clinical and ethics guidance, and transparent priority setting. This manuscript outlines common ethics challenges and considerations that apply in all humanitarian actions, and illustrates their relevance to kidney care as a whole, using examples of how these may apply to dialysis and kidney disaster relief efforts in humanitarian settings.

Identification of Spatial Distribution of Afforestation, Reforestation, and Deforestation and Their Impacts on Local Land Surface Temperature in Yangtze River Delta and Pearl River Delta Urban Agglomerations of China

Forest change affects local and global climate by altering the physical properties of the land surface. Accurately assessing urban forest changes in local land surface temperature (LST) is a scientific and crucial strategy for mitigating regional climate change. Despite this, few studies have attempted to accurately characterize the spatial and temporal pattern of afforestation, reforestation, and deforestation to optimize their effects on surface temperature. We used the China Land Cover Dataset and knowledge criterion-based spatial analysis model to map urban forestation (e.g., afforestation and reforestation) and deforestation. We then analyzed the impacts of these activities on LST from 2010 to 2020 based on the moving window strategy and the spatial–temporal pattern change analysis method in the urban agglomerations of the Yangtze River Delta (YRD) and Pearl River Delta (PRD), China. The results showed that forest areas declined in both regions. Most years, the annual deforestation area is greater than the yearly afforestation areas. Afforestation and reforestation had cooling effects of −0.24 ± 0.19 °C and −0.47 ± 0.15 °C in YRD and −0.46 ± 0.10 °C and −0.86 ± 0.11 °C in PRD. Deforestation and conversion of afforestation to non-forests led to cooling effects in YRD and warming effects of 1.08 ± 0.08 °C and 0.43 ± 0.19 °C in PRD. The cooling effect of forests is more evident in PRD than in YRD, and it is predominantly caused by reforestation. Moreover, forests demonstrated a significant seasonal cooling effect, except for December in YRD. Two deforestation activities exhibited seasonal warming impacts in PRD, mainly induced by deforestation, while there were inconsistent effects in YRD. Overall, this study provides practical data and decision-making support for rational urban forest management and climate benefit maximization, empowering policymakers and urban planners to make informed decisions for the benefit of their communities.

Efficacy of late-onset antiviral treatment in immunocompromised hosts with persistent SARS-CoV-2 infection.

Four years after the onset of the global coronavirus disease 2019 (COVID-19) pandemic, the immunocompromised are at greatest risk of developing life-threatening severe disease. However, specific treatment plans for this most vulnerable patient group have not yet been developed. Employing a CD4+ and CD8+ T cell-depleted immunocompromised mouse model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we explored therapeutic options of persistent infections with standard-of-care paxlovid, molnupiravir, and the experimental therapeutic 4'-fluorouridine (4'-FlU). Late-onset treatment initiated 14 days after infection was efficacious, but only 4'-FlU was rapidly sterilizing. No treatment-experienced viral variants with reduced susceptibility to the drugs emerged, albeit virus replication rebounded in animals of the paxlovid group after treatment end. This study supports the use of direct-acting antivirals (DAAs) for late-onset management of persistent SARS-CoV-2 infection in immunocompromised hosts. However, treatment courses likely require to be extended for maximal therapeutic benefit, calling for appropriately powered clinical trials to meet the specific needs of this patient group.

Opting Out: Botswana’s Limited Negotiating Power on Chinese Finance

Since 2013, a downward trend in lending by China’s state-owned policy banks, which are mandated to help finance overseas projects executed by Chinese companies, has been observed in Africa. This article reveals that in Botswana this development started markedly earlier. The country has not borrowed from Chinese policy banks since 2006. Furthermore, overall Chinese lending to Botswana peaked in 2009 and came to a complete halt thereafter. Botswana has nonetheless continued to benefit from grants as well as debt cancellation from China. This shift from borrowing to an exclusive reliance on aid seems counterintuitive for an upper middle-income country with a relatively strong credit rating like Botswana. However, the paper shows that the downgrading of Botswana’s economic co-operation with China came about as a result of the principle of maximisation of national benefit that Botswana’s policy elites uphold in their interactions with foreign lenders, including China. The paper contributes to the literature on African agency as a key variable shaping Africa–China relations but, crucially, also highlights the limitations thereof. Botswana was able to shift to other lenders when it became dissatisfied with the Chinese loan offering. However, it could not get China to change its offering because of structural incompatibilities between Botswana’s demands and China’s approach to foreign lending. The paper also offers a study of Botswana–China economic relations, which have received limited scholarly attention thus far.

Comparison of thoracic epidural catheter and continuous peripheral infusion for management of traumatic rib fracture pain.

Thoracic epidural catheters (TECs) are useful adjuncts to multimodal pain regimens in traumatic rib fractures. However, TEC placement is limited by contraindications, patient risk profile, and provider availability. Continuous peripheral infusion of ketamine and/or lidocaine is an alternative that has a modest risk profile and few contraindications. We hypothesized that patients with multiple traumatic rib fractures receiving TECs would have better pain control, in terms of daily morphine milligram equivalents (MMEs) and mean pain scores (MPSs) when compared with continuous peripheral infusions of ketamine and/or lidocaine. We retrospectively analyzed traumatic rib fracture admissions to a level 1 trauma center between January 2018 and December 2020. We evaluated two treatment groups: TEC only and continuous infusion only (drip only). A linear mixed-effects model evaluated the association of MME with treatment group. An interaction term of treatment group by time (days 1-7) was included to allow estimating potential time-dependent treatment effect on MME. A zero-inflated Poisson mixed-effects model evaluated the association of treatment with MPS. Both models adjusted for confounders. A total of 1,647 patients were included. After multivariable analysis, a significant, time-varying dose-response relationship between treatment group and MME was found, indicating an opioid-sparing effect favoring the TEC-only group. The opioid-sparing benefit for TEC-only therapy was most prominent at day 3 (27.4 vs 36.5 MME) and day 4 (27.3 vs 36.2 MME) (p < 0.01). The drip-only group had 1.21 times greater MPS than patients with TEC only (p < 0.001). Drip-only analgesia is associated with higher daily MME use and MPS, compared with TEC only. The maximal benefit of TEC therapy appears to be on days 3 and 4. Prospective, randomized comparison between groups is necessary to evaluate the magnitude of the treatment effect. Therapeutic/Care Management; Level III.

The Stochastic Evolution Game of Knowledge-Sharing Incentive in Virtual Communities under Intelligent Recommendation Systems

To effectively solve the issue of unsmooth knowledge sharing in virtual communities under intelligent recommendation systems, we analyzed the impact of key factors on the strategy selection and evolution path in different scenarios.Based on the principles of bounded rationality and benefit maximization, we consider the principles of evolutionary game theory and the influence of random interference. A random evolutionary game model is constructed to analyze strategy selection in the process of knowledge sharing incentives between virtual community platforms and users. We obtained the evolutionary equilibrium strategies under different parameter restrictions and analyzed the evolutionary stability of the dynamic game process of knowledge sharing incentives.The research shows that interference from random factors affects both the speed and the trend of strategy evolution in virtual community platforms and users. In order to improve the enthusiasm of users to share, virtual community need to increase the proportion of users with positive feedback, improve the recommendation incentive mechanism, and reduce the user loss coefficient. Based on the above research conclusions, some countermeasures and suggestions for improving the performance of virtual community knowledge sharing under intelligent recommendation systems are proposed, which provides theoretical guidance for knowledge sharing among virtual community members.

Supply Chain Risk Mitigation Based on The Integration of House of Risk and MOORA

Supply chains play a critical role in the operational success of organizations, impacting both costs and product quality. However, they are often exposed to various risks that can disrupt business processes. This research aims to identify supply chain risks and propose mitigation strategies using the House of Risk (HOR) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods. Through interviews, key issues were identified in a fiberglass company's supply chain, including raw material supply fluctuations, procurement cost variability, defective materials, inappropriate specifications, outdated technology, insufficient worker skills, and ambitious company targets. The novelty of this study lies in the application of MOORA, which introduces a correlation matrix for risk mitigation by considering both cost minimization and benefit maximization. The analysis identified 12 risk agents and 26 risk events, which were prioritized using HOR stage 2 with the MOORA method. The top preventive actions were ranked, providing actionable recommendations for companies to address supply chain risks more effectively. The findings of this research offer practical insights for companies in the fiberglass industry to enhance supply chain resilience by integrating cost and benefit considerations into their risk management strategies.

Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety.

Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health IT has revolutionized clinical settings by enabling real-time insights and personalized recommendations. However, the use of health IT can lead to unintended consequences that are not adequately addressed during training and implementation. These consequences can hinder the maximization of benefits and limit equitable access to healthcare. In this paper, we explore the impact of AI on CDSS and health IT, discuss the challenges in educating clinical informaticians, and aim to promote patient safety through collaboration with practitioners, researchers, and educators.

Patient-related factors impact the implementation of inpatient antibiotic allergy delabeling

BackgroundThe clinical consequences of an antibiotic allergy label (AAL) are detrimental impacting health care delivery and patient outcomes. We assessed hospital inpatients with intent to offer free AAL assessment within a randomised controlled trial (RCT). ObjectiveTo determine the feasibility of establishing an adult antibiotic allergy delabeling service in a Western Australian tertiary public hospital. MethodsInpatients (N=1503) with AAL were identified through medical records and screened for eligibility to participate in an RCT. Those recruited were randomised to undergo assessment by skin testing +/- oral challenge, or direct oral challenge. A control group received usual care. ResultsOf the 1503 inpatients with an AAL, 429 (28.5%) were eligible for AAL assessment. The primary excluding factor (1,074, 71.5%) was contraindicated medication use (387, 36.0%), followed by cognitive impairment (298, 27.9%). Thirty-nine patients were randomised, 20 received allergy testing and 19 usual care; all patients were followed up for 5 years. Older patients were less likely to be eligible (10- year increase: OR = 0.82, 95% CI = 0.77-0.88, p<0.0001); whilst surgical patients were more likely to be eligible than medical patients (OR = 2.49, 95% CI = 1.97-3.16, p<0.0001). ConclusionsAntibiotic allergy delabeling in the acute care context is not straightforward. Competing clinical concerns and patient acceptance are some barriers to an inpatient service. Nor is it apparent that inpatient vs outpatient testing is cost saving although select patient groups may benefit. Testing younger people and those with predicted high antibiotic usage will derive maximal individual and health system benefits.

Acute-on-chronic inflammation in acute myocardial infarction.

Acute myocardial infarction (AMI) is heralded by chronic inflammation and entails an excessive burst of acute-on-chronic inflammation (AoCI). This review describes the evolution from understanding atherosclerosis as a chronic inflammatory disease, to recent efforts in optimizing anti-inflammatory therapy to patients with AMI. It highlights the challenges and opportunities in selecting the optimal patient with AMI to derive maximal benefit from early anti-inflammatory therapy. The causal role of inflammation in atherosclerosis has been proven in large outcome trials. Since then, several smaller trials have sought to translate the concept of anti-inflammatory therapy targeting residual inflammatory risk to the dynamic early phase of AoCI after AMI. Current evidence highlights the importance of selecting patients with a high inflammatory burden. Surrogate criteria for large AMI (e.g., angiographic or electrocardiographic), as well as novel point-of-care biomarker testing may aid in selecting patients with particularly elevated AoCI. Additionally, patients presenting with AMI complicated by pro-inflammatory sequelae (e.g., atrial fibrillation, acute heart failure, left ventricular thrombosis) may dually profit from anti-inflammatory therapy. Improved understanding of the mechanisms and dynamics of acute and chronic inflammatory processes after AMI may aid the strive to optimize early anti-inflammatory therapy to patients with AMI.

Caveolae with GLP-1 and NMDA Receptors as Crossfire Points for the Innovative Treatment of Cognitive Dysfunction Associated with Neurodegenerative Diseases.

Some neurodegenerative diseases may be characterized by continuing behavioral and cognitive dysfunction that encompasses memory loss and/or apathy. Alzheimer's disease is the most typical type of such neurodegenerative diseases that are characterized by deficits of cognition and alterations of behavior. Despite the huge efforts against Alzheimer's disease, there has yet been no successful treatment for this disease. Interestingly, several possible risk genes for cognitive dysfunction are frequently expressed within brain cells, which may also be linked to cholesterol metabolism, lipid transport, exosomes, and/or caveolae formation, suggesting that caveolae may be a therapeutic target for cognitive dysfunctions. Interestingly, the modulation of autophagy/mitophagy with the alteration of glucagon-like peptide-1 (GLP-1) and N-methyl-d-aspartate (NMDA) receptor signaling may offer a novel approach to preventing and alleviating cognitive dysfunction. A paradigm showing that both GLP-1 and NMDA receptors at caveolae sites may be promising and crucial targets for the treatment of cognitive dysfunctions has been presented here, which may also be able to modify the progression of Alzheimer's disease. This research direction may create the potential to move clinical care toward disease-modifying treatment strategies with maximal benefits for patients without detrimental adverse events for neurodegenerative diseases.

Cooperative operation for multiple virtual power plants considering energy-carbon trading: A Nash bargaining model

With the development of the energy and carbon markets, it has become a trend for multiple virtual power plants (MVPP) that aggregate distributed resources from different regions to participate in market trading through cooperative operation. In order to study the energy-carbon interactions between VPPs and the supply-demand interactions for MVPP and users, this paper introduces a load aggregator (LA) and establishes a cooperative alliance consisting of MVPP and LA. Firstly, a carbon emission allowance allocation and transaction mechanism for MVPP is proposed based on the modified Shapley value method, which considers the impact of energy interactions within the alliance on the carbon emissions. Then, a cooperation model for the MVPP-LA alliance is established based on Nash bargaining theory, and it is decomposed into two subproblems of the maximal alliance benefits and the optimal benefit distribution. In terms of benefit distribution, this paper modifies the bargaining mechanism based on the contribution of each VPP to the alliance benefit. A dynamic penalty factor-based alternating direction method of multipliers (DP-ADMM) is used to solve the two subproblems in a distributed manner. Finally, the validity of the proposed trading mechanism, allocation method and solution algorithm are verified through several cases.

Exercise Training for Chronic Pain: Available Evidence, Current Recommendations, and Potential Mechanisms.

Chronic pain conditions pose a significant global burden of disability, with epidemiological data indicating a rising incidence. Exercise training is commonly recommended as a standalone or complementary approach for managing various chronic pain conditions like low back pain, osteoarthritis, rheumatoid arthritis, fibromyalgia syndrome, and neuropathic pain. Regardless of the specific condition or underlying cause (e.g., autoimmune disease, chronic inflammation), exercise training consistently leads to moderate to large reductions in pain. Moreover, exercise yields numerous benefits beyond pain alleviation, including small-to-moderate improvements in disability, quality of life, and physical function. Despite its efficacy, there is a lack of comprehensive research delineating the optimal intensity, duration, and type of exercise for maximal benefits; however, evidence suggests that sustained engagement in regular exercise or physical activity is necessary to achieve and maintain reductions in both clinical pain intensity ratings and the level that pain interferes with activities of daily living. Additionally, the precise mechanisms through which exercise mitigates pain remain poorly understood and likely vary based on the pathophysiological mechanisms underlying each condition.