Moderating Factor Research Articles

Resources, energy consumption and economic analysis for flame synthesis of ternary cathode materials

Cathode materials account for around one third of the manufacturing cost of lithium-ion battery, which are the major factor preventing the wider applications of power battery packs. Flame synthesis (FS) is a new manufacturing technology of nanostructured materials with few equipment and high efficiency, which potentially can substantially bring down the manufacturing cost of cathode materials. The primary objective of the present study was to quantitatively evaluate the resources, energy consumption and economic feasibility of large-scale production of cathode materials though FS. In the analysis process, the mass flow of reactants and resultants as well as the minimum cathode material selling price (MCSP) of ternary cathode material LiNixCoyMn(1-x-y)O2 (x + y + z = 1) produced by FS were calculated, and compared with that of the conventional hydroxide co-precipitation method. Results show that the production of ternary cathode material through FS can reduce CO2 emissions by ∼60% and water consumption by ∼30%. MCSP of LiNi0.5Co0.2Mn0.3O2 (NCM523), LiNi0.6Co0.2Mn0.2O2 (NCM622), and LiNi0.8Co0.1Mn0.1O2 (NCM811) produced by FS are 224.8 k¥/t, 235.1 k¥/t, 240.0 k¥/t, which respectively are about 2%, 10% and 14% lower than the average selling prices in Chinese market, indicating that FS is economically feasible for producing ternary cathode materials. Particularly, for the production of high-nickel cathode materials, FS has notable potential in simplifying the production process and manufacturing costs. Sensitivity analysis of NCM811 produced by FS shows that when raw material price, fuel and power costs are reduced by 25%, MCSP can be as low as 186.4 k¥/t. When the metal cation concentration of the solution increases to 3.2 mol/L, it enables FS to meet the most rigorous energy consumption limitation standards in China. When the lithium excess is reduced from 10% to 5%, MCSP of NCM811 can be further reduced by 5.6 k¥/t, indicating that lithium loss due to high temperatures in FS is a moderate factor for reducing the manufacturing cost. Finally, this work presents a life cycle assessment (LCA) of NCM materials produced by FS in China. Comparison to the global warming potential (GWP) of the co-precipitation method in the literature indicated that GWP of FS is lower.

A rare case of glanzmann thrombasthenia with concomitant factor VII deficiency.

Glanzmann thrombasthenia and clotting factor VII deficiency are rare autosomal recessive bleeding disorders. But the occurrence of both in the same person is an extremely rare phenomenon. Here, we present the case of a young female from Sindh, Pakistan that got diagnosed with Glanzmann thrombasthenia and concomitant moderate factor VII deficiency, a combination not previously reported in the country. The patient exhibited typical clinical manifestations including menorrhagia, nasal bleeds, and prolonged bleeding after minor injuries, compounded by a positive family history and consanguinity. Laboratory investigations revealed marked anemia, prolonged bleeding time, and abnormal platelet aggregation studies consistent with Glanzmann thrombasthenia. The identification of this rare combination relied on comprehensive clinical evaluation, emphasizing the importance of family history in suspected cases. Management involved platelet transfusions, tranexamic acid, and Factor VII replacement, resulting in clinical improvement.

Moderating effects of self-construal on the associations of workload and role ambiguity with psychological distress: A cross-sectional and prospective study in a Japanese workplace

The self-construal of employees is a potential moderating factor in the challenge–hindrance model that may enhance our understanding of the varying effects of challenge and hindrance stressors on psychological health. The present study examined the moderating effect of self-construal on the association of workload and role ambiguity with psychological distress among employees in a Japanese workplace. A baseline survey (October 2020) and a follow-up survey (January 2022) were administered to employees of a manufacturing corporate group in Japan, which obtained 948 and 733 complete responses, respectively. Multiple linear regression analyses were conducted using a cross-sectional and a prospective cohort design. The cross-sectional analyses demonstrated the protective effects of independent and interdependent self-construal on the associations between workload and psychological distress; this moderating effect of self-construal diminished in the prospective analyses. By contrast, there were no moderating effects of self-construal on the association between role ambiguity and psychological distress. These findings suggest that self-construal may possibly provide a psychosocial context under which specific challenge and/or hindrance stressors become particularly harmful to employees’ psychological health, thus guiding selective and indicated interventions based on the self-construal.

Impact of air pollution perception on environmental governance satisfaction

This study critically examines the factors influencing satisfaction with environmental governance in China, focusing on air pollution perception, environmental tax, and government trust within the Environmental, Social, and Governance (ESG) framework. Utilizing data from Chinese societal surveys, the research investigates the impact of air pollution perception on environmental governance satisfaction, as well as how this relationship is mediated by environmental tax and moderated by government trust. The findings reveal a strong inverse correlation between air pollution perception and satisfaction with environmental governance, highlighting the direct impact of environmental challenges on ESG outcomes. The relationship is nuanced by regional and demographic variations, highlighting the diverse impact of air pollution perception across different segments of society. The study also reveals the pivotal role of environmental tax in mediating this relationship, suggesting that tax policies can effectively enhance ESG strategies. Additionally, government trust is identified as a key moderating factor, underscoring the importance of trust in governance for the effectiveness of ESG practices. This research contributes to the broader field of air pollution perception and environmental governance, providing valuable insights into the complex interplay between public perception, tax policy, and trust in government. It offers practical implications for policymakers seeking to use taxation and trust-building measures to mitigate pollution and improve public satisfaction with environmental governance within the ESG ambit.

The Effects of Age and Treatment Intensity on Behavioral Target Mastery With Applied Behavior Analysis (ABA) Intervention Using Causal Moderation Models.

Introduction Applied behavior analysis (ABA) is a therapy that focuses on improving specific behaviors using positive and negative reinforcement through antecedents, behaviors, and consequences, particularly in individuals with autism and other developmental disorders. It uses the principles of learning theory to bring about meaningful and positive changes in behavior. In ABA treatment, intensityrefers to the amount and frequency of therapy an individual receives. This includes weekly hours, session trials, and overall duration. Intensive treatment involves more hours and trials tailored to individual needs and responses. Younger individuals, particularly those with autism, often receive more intensive therapy because early intervention leads to better outcomes. Programs may recommend 25-40 hours per week for young children. As children age, therapy may become less intensive, focusing on specific skills. The study explores how age and treatment intensity affect the mastery of behavioral targets in ABA interventions. Materials and methods This study involved 100 participants (89 children, four adults, and seven instances where the individuals' ages were not recorded due to random data entry errors (MCAR)) who received ABA treatment over three months. The treatments included functional analysis, discrete trials, and massand naturalistic training. Data on the mastery of target behaviors were collected using the Catalystsoftware (New York, New York). The primary outcome was the percentage of mastered behavioral targets, indicating the effectiveness of the ABA treatment. Several predictors were examined, including the participant's age and treatment intensity variables, such as the average number of trials and teaching days to achieve behavioral mastery. The interaction effects between age and these treatment intensity variables were analyzed. The study used descriptive and inferential statistics to explore these interactions, including correlational and multiple regression analyses with causal moderator modeling. Results In Model 1, a baseline multiple regression analysis showed that average teaching days significantly predict the percentage of targets mastered. However, its limited explanatory power suggests other variables also play a role. Model 2 introduced interaction effects using causal models, revealing that age moderates the relationship between treatment variables and behavioral outcomes. This model provided a more nuanced understanding but still had room for improvement. Model 3 further refined the approach, achieving higher R-values and lower standard error. It highlighted age's significant role in modifying the impact of teaching days on mastery. This model's superior performance emphasizes the importance of considering age as a moderating factor in ABA interventions, leading to more effective and personalized behavior therapy. Conclusions This study significantly enhances our understanding of the complex interactions between age and treatment intensity within ABAinterventions. Practitioners and researchers can develop more tailored and effective therapeutic strategies by identifying and leveraging these interactions. This approach optimizes the treatment process and ensures that interventions are personalized to meet the unique needs of each individual. Ultimately, this leads to more successful outcomes in behavioral therapy, fostering improved adaptive behaviors and overall development.

Impact of Digital Trade on the Employment Situation in Africa

This study investigates the impact of digital trade on employment in Africa, with the objective of deepening the understanding of the region’s economiclandscape and the potential of digital trade to generate employment. Utilizing a dataset covering 30 African countries from 2009 to 2020, the research employs an instrumental variable two-stage least squares (IV-2SLS) estimation method to assess the effects of digital trade. The findings reveal that, although digital trade does not uniformly enhance overall employment, it exerts a significant and positive influence on employment within the industrial and services sectors. Moreover, the study highlights the role of general government expenditure as a moderating factor in this relationship. This research contributes new empirical evidence by using various trade activities as proxies for digital trade, addressing a notable gap in the existing literature. The conclusions provide critical insights for African policymakers in developing strategies to leverage digitalization for economic growth.

The impact of health information echo chambers on older adults avoidance behavior: the mediating role of information fatigue and the moderating role of trait mindfulness.

In the digital media era, the prevalence of algorithm-driven content push has intensified the health information echo chambers phenomenon, characterized by excessive homogenization and overload of information. This phenomenon may negatively impact the older adults, a "digitally vulnerable" group, by limiting their access to diverse health information and potentially inducing health information avoidance behaviors. However, the psychological mechanisms within this impact process remain unclear, and this study aims to explore them. Additionally, current study introduces trait mindfulness as a potential intervention tool in reducing health information avoidance behavior among the older adults. This study constructs an impact model based on the Stress-Coping Theory and the Stress-Strain-Outcome (SSO) framework. It identifies health information similarity, relevance, and overload as characteristics of the echo chamber, constituting the Stress part; information fatigue as the Strain; and health information avoidance as the Outcome, with trait mindfulness serving as a moderating factor between Strain and Outcome. A cross-sectional survey of 236 older adults individuals aged 60 and above was conducted, and the collected data were analyzed using SmartPLS and SPSS. The study found that health information similarity and overload significantly increased health information fatigue among the older adults, thereby promoting avoidance behavior, but no significant correlation was found between relevance and fatigue. While there was no significant correlation between trait mindfulness and health information fatigue, it effectively moderated the avoidance behavior induced by fatigue. Current study reveals the impact of the health information echo chamber phenomenon on health information avoidance behavior among the older adults and the moderating role of trait mindfulness. It emphasizes the importance of breaking the health information echo chamber and promoting diverse information dissemination to improve the health information behavior of the older adults. Furthermore, the moderating role of trait mindfulness demonstrates positive intervention potential, providing the older adults with a psychological adjustment mechanism to accept and process health information with a more open attitude, thereby reducing unproductive avoidance behavior.

Applying General Strain Theory to the Relationship Between Strain from Another Person's Gambling Behavior and Gambling Disorder.

Prior research has identified a host of factors that increase the likelihood that an individual will develop problem gambling, clinically diagnosed as Gambling Disorder (GD), most of which would be identified by criminologists as "strains" under the framework of General Strain Theory (GST). This study utilizes propositions from GST to determine whether strain from another person's gambling may be related to why people develop GD and whether gender is a moderating factor in this relationship. Secondary data is analyzed to assess levels of strain individuals experience from another person's gambling behavior, its relationship to the individual's risk of Gambling Disorder, and the role gender plays in this relationship. Findings demonstrate a relationship between the strain from the perceived problem gambling of someone with a close relationship and having a gambling disorder. Experiencing strain from a spouse/partner who is perceived as a problem gambler has the strongest correlation with an individual also having Gambling Disorder. Considering gender as a moderating factor, this effect was stronger on men than women, calling into question the strong belief that it is primarily women who gamble to escape problems.

The Role of Trust in Moderating the Impact of Affiliate and Social Media Marketing on Financial Service Purchase Decisions

This study aims to evaluate the impact of affiliate marketing, social media marketing, brand image, and service quality on purchasing decisions for financial services, with trust acting as a moderating variable to enhance these purchase decisions, particularly in the context of credit fund distribution. A sample of 324 respondents from across Indonesia was analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings indicate that affiliate marketing and social media marketing both have significant positive effects on purchasing decisions for financial services. Additionally, brand image also significantly and positively influences purchasing decisions. Contrary to expectations, service quality does not show a significant positive impact on purchasing decisions. Crucially, trust is identified as a key moderating factor, particularly enhancing the relationship between brand image and purchase decisions.

The Role of Work Discipline as A Moderate in The Relationship Motivation, Competency and Workload on Employee Performance

This study aims to empirically analyze the influence of competence, motivation, and workload on employee performance with work discipline as a moderation variable. This research was conducted at the Kampar Regency Regional Secretariat involving 178 respondents who were selected as a sample. The data analysis technique used is Structural Equation Modeling (SEM) with the help of SmartPLS software. The results of this study show that competence and motivation have a significant influence on work discipline. Work discipline, in turn, has a significant impact on employee performance. In addition, workload is also found to have a significant influence on employee performance, both directly and indirectly through work discipline. In this study, work discipline plays a role as a moderation variable that strengthens the relationship between competence, motivation, and workload and employee performance. These findings highlight the importance of work discipline in the process of improving employee performance, where competence and motivation are the main driving factors that contribute to optimal performance. The practical implications of this study show that organizations, especially management, need to pay attention to the development of employee competencies and motivation as well as effective workload management. This is important to ensure that work discipline can be optimized as a moderation factor in improving employee performance. With the right strategy, organizations can achieve better performance improvements and support the achievement of strategic goals.

“Happily tired”: A descriptive qualitative study of the impact of the COVID-19 pandemic on women academics in Qatar

The COVID-19 pandemic highlighted existing gender inequalities and inequities in academia, such as unequal workload distribution and insufficient recognition of women's scientific and institutional contributions. This study aimed to explore the impact of the COVID-19 pandemic on women academics in Qatar. We employed a descriptive qualitative design and conducted semi-structured interviews with 17 participants from government and semi-government higher education institutions. We used the intersectionality framework to examine how various social identities interacted to influence the impact of the pandemic. Thematic analysis revealed a range of positive and negative impacts on the professional and personal lives of women, personal and institutional moderating factors, and coping strategies. We conclude that higher education institutions need to develop systems and structures to reduce existing gender inequities and mitigate the inequitable impact of emergencies and disasters.

Empathy and Autism: Establishing the Structure and Different Manifestations of Empathy in Autistic Individuals Using the Perth Empathy Scale.

There is a common mischaracterisation that autistic individuals have reduced or absent empathy. Measurement issues may have influenced existing findings on the relationships between autism and empathy, and the structure of the empathy construct in autism remains unclear. The present study sought to address these gaps by examining the structure and psychometric properties of the Perth Empathy Scale (PES) in autistic individuals (N = 239) compared to non-autistic individuals (N = 690). Our moderated non-linear factor analysis revealed that the multidimensional empathy construct manifested similarly in autistic and non-autistic individuals, with the PES displaying good validity and reliability. Moreover, the results revealed that autistic individuals reported reduced cognitive empathy and reduced affective empathy for positive and negative emotions. However, there was greater heterogeneity of empathic tendencies in the autistic sample, indicating that these mean differences may not be generalisable for all autistic individuals. The present study highlights that the PES is suitable for assessing empathy across autistic and non-autistic individuals. This work with the PES also provides greater nuance to our understanding of empathy and autism, and based on these findings, we propose the empathy heterogeneity hypothesis of autism as a new way of describing empathy in autism.

Self-objectification and appearance anxiety in university students: Physical activity as a moderator

Excessive concern among university students over their physical appearance can lead to depression, eating disorders, and negative emotions, making appearance anxiety a significant social issue affecting students' mental and physical health. In this study 352 Chinese university students completed a survey. Results showed there was a significant positive correlation between selfobjectification and appearance anxiety, and a significant negative correlation of both appearance anxiety and self-objectification with physical activity. The interaction between self-objectification and physical activity was significant, indicating that physical activity played an important moderating role in the relationship between self-objectification and appearance anxiety. Selfobjectification had a positive predictive effect on appearance anxiety, whereas physical activity had a negative predictive effect. Physical activity also served as a moderating factor in the relationship between self-objectification and appearance anxiety. Our findings emphasize that physical activity can reduce the impact of self-objectification on appearance anxiety, providing potential solutions to students' appearance anxiety.

Determinans Sustainability Report, Leverage and Tax Avoidance on Financial Performance with CEO Narcissism as Moderation Variable

Financial performance analysis is the process of critically reviewing finances which involves reviewing data, calculating, measuring and providing financial solutions. Sustainability reports, leverage, tax avoidance and CEO marcissism are among the factors that influence a company's financial performance. This study examines the impact of tax avoidance, leverage, and sustainability reports on financial performance using CEO narcissism as a moderating factor. With a population of 89 companies in the metals and minerals industry, the subjects of this study are manufacturing companies listed on the Indonesia Stock Exchange. Secondary data sources and quantitative techniques are used in this research methodology. Using SmartPLS version 3, the Partial Least Squares (PLS) approach was used in the data processing procedure. The results show that although the tax avoidance variable has no influence and the CEO narcissism variable cannot mitigate the relationship between tax avoidance and financial success, the sustainability report and leverage variables have a great influence on financial performance. This research is aimed at companies operating in the metal and mineral manufacturing industry to reveal the environmental, social and economic role of society as well as the attractiveness of external parties, namely investors.

Unraveling the dynamics: exploring the nexus between abusive supervision, counterproductive work behaviors and the moderating influence of mindfulness

PurposeRelying on the affective events theory, this study conceptualizes abusive supervision as a micro-affective event and tests a multilevel moderated mediation arguing that abusive behaviors from the supervisor trigger negative affective reactions that, in turn, will enhance the likelihood of counterproductive work behaviors (interpersonal and organizational). We further propose that mindfulness will shape how employees react to abusive behaviors from supervisors.Design/methodology/approachA daily diary study conducted for five consecutive days was developed with Portuguese working adults (N = 176*5 = 880).FindingsThe multilevel findings showed that abusive behaviors triggered negative affect and this, in turn, promoted both forms of counterproductive work behaviors. The indirect effect regarding interpersonal counterproductive work behavior was moderated by mindfulness in such a way that the indirect effect was stronger for those who scored lower on mindfulness (versus higher levels). The indirect effect on organizational counterproductive work behavior was not significantly moderated by mindfulness.Practical implicationsThe examination of mindfulness as a moderating factor contributes significantly to management by delineating practical strategies to assist employees in effectively managing micro-events involving abusive behaviors from supervisors. Consequently, these findings may inform the development of research-backed strategies aimed at mitigating the affective and behavioral repercussions of an abusive supervisor.Originality/valueThe inclusion of mindfulness in the model is an added value.

Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology.

Artificial intelligence-enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited. This meta-analysis identified predictors influencing health care practitioners' intention to use AI-CDSSs based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Additional predictors were examined based on existing empirical evidence. The literature search using electronic databases, forward searches, conference programs, and personal correspondence yielded 7731 results, of which 17 (0.22%) studies met the inclusion criteria. Random-effects meta-analysis, relative weight analyses, and meta-analytic moderation and mediation analyses were used to examine the relationships between relevant predictor variables and the intention to use AI-CDSSs. The meta-analysis results supported the application of the UTAUT to the context of the intention to use AI-CDSSs. The results showed that performance expectancy (r=0.66), effort expectancy (r=0.55), social influence (r=0.66), and facilitating conditions (r=0.66) were positively associated with the intention to use AI-CDSSs, in line with the predictions of the UTAUT. The meta-analysis further identified positive attitude (r=0.63), trust (r=0.73), anxiety (r=-0.41), perceived risk (r=-0.21), and innovativeness (r=0.54) as additional relevant predictors. Trust emerged as the most influential predictor overall. The results of the moderation analyses show that the relationship between social influence and use intention becomes weaker with increasing age. In addition, the relationship between effort expectancy and use intention was stronger for diagnostic AI-CDSSs than for devices that combined diagnostic and treatment recommendations. Finally, the relationship between facilitating conditions and use intention was mediated through performance and effort expectancy. This meta-analysis contributes to the understanding of the predictors of intention to use AI-CDSSs based on an extended UTAUT model. More research is needed to substantiate the identified relationships and explain the observed variations in effect sizes by identifying relevant moderating factors. The research findings bear important implications for the design and implementation of training programs for health care practitioners to ease the adoption of AI-CDSSs into their practice.

The Influence of Company Size on Risk Management Disclosure With Good Corporate Governance as a Moderation Variable in the Company Listed Property and Real Estate on the Indonesian Stock Exchange (IDX)

The purpose of this study is to examine how firm size affects risk management disclosure in property and real estate companies listed on the Indonesia Stock Exchange, using Good Corporate Governance (GCG) as a moderating factor. In this study, company size is the independent variable, risk management disclosure is the dependent variable, and GCG serves as a moderating variable. Associative, quantitative research methodology is employed, and linear analysis techniques are applied for analysis. Using a purposive sample approach, the study's population consists of property and real estate companies listed between 2018-2021 on the Indonesia Stock Exchange. The study's findings indicate that risk management disclosure is significantly impacted by a company's size. Nevertheless, in the context of property and real estate businesses listed on the Indonesia Stock Exchange for the examined period, GCG was not demonstrated to be able to control the relationship between company size and risk management disclosure

Accelerating breast MRI acquisition with generative AI models.

To investigate the use of the score-based diffusion model to accelerate breast MRI reconstruction. We trained a score-based model on 9549 MRI examinations of the female breast and employed it to reconstruct undersampled MRI images with undersampling factors of 2, 5, and 20. Images were evaluated by two experienced radiologists who rated the images based on their overall quality and diagnostic value on an independent test set of 100 additional MRI examinations. The score-based model produces MRI images of high quality and diagnostic value. Both T1- and T2-weighted MRI images could be reconstructed to a high degree of accuracy. Two radiologists rated the images as almost indistinguishable from the original images (rating 4 or 5 on a scale of 5) in 100% (radiologist 1) and 99% (radiologist 2) of cases when the acceleration factor was 2. This fraction dropped to 88% and 70% for an acceleration factor of 5 and to 5% and 21% with an extreme acceleration factor of 20. Score-based models can reconstruct MRI images at high fidelity, even at comparatively high acceleration factors, but further work on a larger scale of images is needed to ensure that diagnostic quality holds. The number of MRI examinations of the breast is expected to rise with MRI screening recommended for women with dense breasts. Accelerated image acquisition methods can help in making this examination more accessible. Accelerating breast MRI reconstruction remains a significant challenge in clinical settings. Score-based diffusion models can achieve near-perfect reconstruction for moderate undersampling factors. Faster breast MRI scans with maintained image quality could revolutionize clinic workflows and patient experience.

Performance Assessment through Work Gamification: Investigating Engagement

Purpose: The purpose of this study is to evaluate, investigate and assess the impact of gamification on the performance of online transportation drivers via social values, motivation and participatory engagement.Design/methodology/approach: This quantitative study is based on primary data from 110 online transportation drivers in five cities in the Central Java Province region: Semarang, Pekalongan, Kudus, Purwokerto and Solo. Partial least squares (PLS) method is used to analyse and evaluate data.Findings/results: The research results show that job gamification positively and significantly influences driver performance through social value, motivation and participatory engagement.Practical implications: The findings can be applied to increase employee performance in a business or organisation that supports a sustainable, friendly company. They also offer practical basics to make decisions in increased employee engagement, enhanced productivity, improved learning and skill development, social value and collaboration.Originality/value: While the study establishes a positive relationship between gamification and driver performance through the mediating factors of social value, motivation and participatory engagement, future research could delve deeper into understanding the specific gamification techniques. Those design elements are also the most effective in the context of online transportation. Additionally, exploring potential moderating factors, such as the demographics of drivers or market conditions, could provide a more nuanced understanding of the gamification-performance relationship. This in-depth exploration could help transportation companies tailor their gamification strategies for maximum impact and address potential limitations in current research.

Impact of obese body mass index on inflammasome blood biomarkers and neurocognitive performance following traumatic brain injury with Glasgow coma scale 13 to 15

Activation of the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome is a moderating factor between obesity and cognitive impairment in animals, but this has never been tested in humans following mild traumatic brain injury (mTBI). This is a retrospective cohort analysis of subjects enrolled at a single level 1 trauma center (n = 172). Participants completed Trail Making Test Part A and B (TMT-A and B) at six- and twelve-months, Blood samples were obtained within 24 h of mTBI and apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), caspase-1, interleukin-18 (IL-18), and IL-1β were assayed. Obese participants (BMI = 30–34.9) were associated with higher IL-18 (p = 0.03) and IL-1β (p = 0.05) and severely obese participants (BMI > 35.0) were associated with higher IL-1β (p = 0.005) than healthy weight participants. IL-1β was associated with TMT-A at six- (p = 0.01) and twelve-months (p = 0.03) and TMT-B at twelve-months (p = 0.046). The interaction of severely obese BMI and IL-1β was associated with TMT-B at six- (p = 0.049) and twelve-months (p = 0.02). ASC (p = 0.03) and the interaction of ASC with severely obese BMI was associated with TMTB at six- (p = 0.02) and twelve-months (p = 0.02). Obesity may augment acute inflammasome response to mTBI and influence worse long-term cognitive outcomes up to one-year post-injury.