Cumulative Impact Research Articles

STATE OF ECONOMIC SECURITY AND DIRECTIONS OF RESTORATION SOCIO-ECONOMIC DEVELOPMENT AND FOOD SECURITY IN THE CONDITIONS OF WAR

The purpose of the article is to determine the state of economic security, ways to ensure its level, and ways to restore socio-economic development under the cumulative impact of threats. In order to realize this goal, an expert assessment of the components of economic security provided and the need to take into account the component of military-economic security indicated. It indicated that the task of neutralizing threats to military and economic security opens up new windows of opportunity, in particular opportunities in ensuring socio-economic development. Prerequisites for the use of opportunity windows are defined. The dynamic nature of threats of war that require institutional measures for permanent monitoring of dynamic threats, their operational analytical assessment and the introduction of tactics to neutralize threats and reduce their long-term negative impact, are indicated. An analysis of the state economic security provided, directions for improving this state by components of economic security indicated. The main factors on which the well-being of the country's population depends are determined, the effects of crises on the indicators of the levels of income and expenditure of the population analyzed, and the drivers of the deterioration of well-being are established. It noted that the deterioration of the socio-economic situation of households led to the narrowing of the domestic market, which had a negative impact on the functioning of SMEs. It indicated that this created a negative inverse multiplier effect on the well-being of the population. The negative effects of the crisis, which led to a reduction in production volumes in the agricultural sector, were identified. It indicated that this significantly limited the ability of the branch to fulfil food security tasks. Proposed ways to reduce the negative impact of war on agricultural production to ensure food security. The directions and recommendations for economic and food security and restoring socio-economic development are specified.

Cumulative Impact of Ligands on the Optical Properties of Ag21 Nanoclusters: Insights into the Relaxation Dynamics

Cumulative Impact of Ligands on the Optical Properties of Ag₂₁ Nanoclusters: Insights into the Relaxation Dynamics

Invited Commentary: Is the Polysocial Score Approach Valuable for Advancing Social Determinants of Health Research?

Social determinants of health (SDOH) encompass the social environmental factors and lived experiences that collectively shape an individual's health. Recently, the polysocial score approach has been introduced as an innovative method for capturing the cumulative impact of a broad spectrum of social factors. This approach offers a promising opportunity to complement and enhance conventional methodologies in the advancement of SDOH research. In this issue of the Journal, Jawadekar et al. (Am J Epidemiol. XXXX;XXX(XX):XX-X-XXXX) evaluated the value of the polysocial score for predicting cognitive performance and mortality among middle-aged and older adults. Models built on a smaller set of social determinants, including race, gender, and education, performed comparably to the polysocial score models where a more complex set of social factors were included. In this invited commentary, I welcome the evaluation of the predictive ability of the polysocial score and the discussion of its merits and limitations. I also summarize the practical utility of the polysocial score in predicting health outcomes and its mechanistic significance in unveiling the relationship between genetics, social environment, and lifestyles in shaping an individual's health and elucidate health disparities. Lastly, I propose several avenues for future research.

Back from the sideline, but back to baseline? A pediatric case study examining neuropsychological functioning after sustaining multiple sport-related concussions

ABSTRACT Most individuals recover quickly from a concussion; however, youth who sustain multiple concussions may be at risk for long-term cognitive impairments. This case study examines the neuropsychological performance of a 13-year-old malewith five head injuries. After his first concussion during study participation (fourth injury overall), several improvements were observed, likely due to practice effects, yet after sustaining another concussion <2 years later,declines were observed in visuoconstruction, verbal memory, and intellectual functioning. Across serial re-evaluation, his vocabulary knowledge declined, and fewer improvements were observed than anticipated when accounting for serial practice effects, highlighting the possible cumulative impact of multiple concussions.

The time-lagged impact of microaggressions at work on the emotional exhaustion of transgender and gender diverse employees

Background Despite the widespread adoption of workplace protections for transgender and gender diverse (TGD) individuals, past research has suggested that microaggressions still occur. Previous literature indicates that microaggressions have a deleterious and cumulative impact on mental health. However, little is known about how microaggressions affect TGD employees over time. Method Using a longitudinal design with lagged measures over a period of three months, we explored the current forms of workplace microaggressions against TGD individuals, as well as their prospective impact on emotional exhaustion. We also examined perceived social support, identity centrality, and identity pride as moderators of the effects of microaggressions on emotional exhaustion as these may inform us of potential mitigating factors and targets for interventions. Results TGD employees chronically experience various types of microaggressions which, in turn, lead to emotional exhaustion over time. None of the hypothesized factors moderated the time-lagged relationship of microaggressions on emotional exhaustion, but direct effects of perceived social support and identity pride on exhaustion were found. Conclusion The findings highlight the urgency to develop strategies that directly reduce microaggressions in organizational settings. In order to provide a safe space for gender minorities in the workplace, we recommend that organizations address microaggressions directly and explicitly within their human resource management policies in an authentic non-tokenistic way. In doing so, organizations should incorporate the experiences of various gender identities and gender expressions, while also defining clear processes for assessment and monitoring, corrective action, and best practice sharing.

Understanding the Cardiovascular and Metabolic Health Effects of Air Pollution in the Context of Cumulative Exposomic Impacts.

Poor air quality accounts for more than 9 million deaths a year globally according to recent estimates. A large portion of these deaths are attributable to cardiovascular causes, with evidence indicating that air pollution may also play an important role in the genesis of key cardiometabolic risk factors. Air pollution is not experienced in isolation but is part of a complex system, influenced by a host of other external environmental exposures, and interacting with intrinsic biologic factors and susceptibility to ultimately determine cardiovascular and metabolic outcomes. Given that the same fossil fuel emission sources that cause climate change also result in air pollution, there is a need for robust approaches that can not only limit climate change but also eliminate air pollution health effects, with an emphasis of protecting the most susceptible but also targeting interventions at the most vulnerable populations. In this review, we summarize the current state of epidemiologic and mechanistic evidence underpinning the association of air pollution with cardiometabolic disease and how complex interactions with other exposures and individual characteristics may modify these associations. We identify gaps in the current literature and suggest emerging approaches for policy makers to holistically approach cardiometabolic health risk and impact assessment.

Strategic Planning Approach for Noise Control in Urban Areas

Cities, accommodates more than half of the world population, contributes a major role in overall global development. However, the urban environment has its own challenges, and most prevalent issue is noise pollution, and it is described as a contemporary plague. This problem is linked to various health issues in public like depression, fatigue, insomnia, headaches, and decreased concentration etc. Compounding the issue is the cumulative impact of noise, where the detrimental effects may not manifest immediately. The study emphasizes the critical need for strategic planning approach and the measures to tackle various urban noise sources. The study also focuses into existing policies and guidelines on noise control in Indian urban context and explores different noise analysis approaches and regulations of other countries through case studies. The analysis delivers a set of recommendations on reducing noise pollution through noise zoning, based on the case studies. These recommendations range from the installation of noise barriers along transportation corridors to the implementation of zoning regulations that segregate noisy industrial or commercial activities from residential areas. Additionally, the study advocates for the establishment of strict noise limits tailored specifically for road traffic, underlining the pivotal role of well-designed public transport systems. This not only help in reducing noise impacts but also promotes sustainable urban development. Overall, the study attempts to create quieter, healthier sustainable urban spaces.

Combatting Climate Change within the EU Green Deal in Contemporary Forestry Administrative Systems: A Case Study of the Umbria Region

The integration of digital technologies into forest management is crucial for the European Union’s Green Deal, the Forestry Strategy 2030, and Italy’s national forestry strategy, aiming to enhance governance and efficiency. However, sustainable forest management’s administrative aspects are often overlooked, despite the potential for digital tools to significantly improve environmental performance. Through a Life Cycle Assessment (LCA) for a case study in the Umbria region, the research quantifies CO2 emissions associated with over-threshold forestry administrative procedures under both current and future digitalisation scenarios. Data were collected from legislative documents, interviews with forestry professionals, and emissions calculated according to ISO standards. The findings reveal a considerable reduction in CO2 emissions through digitalisation, from 75.07 kgCO2 to 38.14 kgCO2, with the implementation of the LIFE FOLIAGE project’s digital platform. This underscores digitalisation’s role in climate change mitigation, highlighting the significant, albeit modest per procedure, of the cumulative national impact. The main findings support further digitalisation in forest management as a method of increasing resource efficiency and reducing greenhouse gas emissions, thus contributing to the Green Deal’s and Italy’s forest sustainability goals.

The impact of psychosocial adversity on brain and behaviour: an overview of existing knowledge and directions for future research.

Environmental experiences play a critical role in shaping the structure and function of the brain. Its plasticity in response to different external stimuli has been the focus of research efforts for decades. In this review, we explore the effects of adversity on brain's structure and function and its implications for brain development, adaptation, and the emergence of mental health disorders. We are focusing on adverse events that emerge from the immediate surroundings of an individual, i.e., microenvironment. They include childhood maltreatment, peer victimisation, social isolation, affective loss, domestic conflict, and poverty. We also take into consideration exposure to environmental toxins. Converging evidence suggests that different types of adversity may share common underlying mechanisms while also exhibiting unique pathways. However, they are often studied in isolation, limiting our understanding of their combined effects and the interconnected nature of their impact. The integration of large, deep-phenotyping datasets and collaborative efforts can provide sufficient power to analyse high dimensional environmental profiles and advance the systematic mapping of neuronal mechanisms. This review provides a background for future research, highlighting the importance of understanding the cumulative impact of various adversities, through data-driven approaches and integrative multimodal analysis techniques.

A Simulator Study on the Driving Impacts of Four Speed-Calming Measures at Unsignalized Intersections

Intersections, especially those without traffic signals, are prone to frequent traffic accidents and disorder. The regulation of vehicle speed is an effective measure that can be taken in order to mitigate accidents and alleviate disorder at unsignalized intersections. This study aims to assess the effectiveness of four different temporary low-cost speed-calming measures: traffic crash barrels, lane markings, intersection markings, and a combination of the three. In this study, we used a driving simulator to design four speed-calming static measures that are typical of intersections; we then statistically analyzed the speed and acceleration data (recorded by the driving simulator) and the driver’s visual data (recorded by an eye tracker). The simulation results demonstrated that different speed-calming measures have varied effects on the attention and visual fixations of drivers; however, they are all effective in reducing the average driving speed at the intersection. The traffic-channelizing lane demonstrated superior performance compared to the other three measures in terms of its cumulative impact on deceleration, driving comfort, and safety. The experimental findings presented herein broaden the range of currently accessible temporary speed-limiting strategies and provide valuable insight into intersections that require low-cost speed management solutions.

Recent United States Developments in the Pharmacological Treatment of Dry Eye Disease.

Dry eye disease (DED) can arise from a variety of factors, including inflammation, meibomian gland dysfunction (MGD), and neurosensory abnormalities. Individuals with DED may exhibit a range of clinical signs, including tear instability, reduced tear production, and epithelial disruption, that are driven by different pathophysiological contributors. Those affected often report a spectrum of pain and visual symptoms that can impact physical and mental aspects of health, placing an overall burden on an individual's well-being. This cumulative impact of DED on an individual's activities and on society underscores the importance of finding diverse and effective management strategies. Such management strategies necessitate an understanding of the underlying pathophysiological mechanisms that contribute to DED in the individual patient. Presently, the majority of approved therapies for DED address T cell-mediated inflammation, with their tolerability and effectiveness varying across different studies. However, there is an emergence of treatments that target additional aspects of the disease, including novel inflammatory pathways, abnormalities of the eyelid margin, and neuronal function. These developments may allow for a more nuanced and precise management strategy for DED. This review highlights the recent pharmacological advancements in DED therapy in the United States. It discusses the mechanisms of action of these new treatments, presents key findings from clinical trials, discusses their current stage of development, and explores their potential applicability to different sub-types of DED. By providing a comprehensive overview of products in development, this review aims to contribute valuable insights to the ongoing efforts in enhancing the therapeutic options available to individuals suffering from DED.

Systemic inflammation, lifestyle behaviours and dementia: A 10-year follow-up investigation

ObjectivesLifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association. MethodsThe sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52–92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13. ResultsBinary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein. ConclusionsCo-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.

Head Impact Exposure in Hawaiian High School Football: Influence of Adherence Rates on a Helmetless Tackling and Blocking Training Intervention.

High school football remains a popular, physically demanding sport despite the known risks for acute brain and neck injury. Impacts to the head also raise concerns about their cumulative effects and long-term health consequences. To examine the effectiveness of a helmetless tackling training program to reduce head impact exposure in football participants. A three-year, quasi-experimental, prospective cohort (clinicaltrials.gov #NCTXXX) study. Honolulu (XXX, XXX) area public and private secondary schools with varsity and junior varsity football. Football participants (n=496) ages 14 to 18 years old. Intervention(s) Participants wore new football helmets furnished with head impact sensor technology. Teams employed a season-long helmetless tackling and blocking intervention in Years 2 and 3 consisting of a 3-phase, systematic progression of 10 instructional drills. Head impact frequency per athlete exposure (ImpAE), location, and impact magnitude per participant intervention adherence levels (60% and 80%). An overall regression analysis revealed a significant negative association between ImpAE and adherence (p=0.003, beta=-1.21, SE=0.41). In year 3, a longitudinal data analysis of weekly ImpAE data resulted in an overall difference between the adherent and non-adherent groups (p=0.040 at 80%; p=0.004 at 60%), mainly due to decreases in top and side impacts. Mean cumulative impact burden for the adherent group (n=131: 2,105.84g ± 219.76,) was significantly (p=0.020) less than the non-adherent group (n=90: 3,158.25g ± 434.80) at the 60% adherence level. Participants adhering to the intervention on at least a 60% level experienced a 34% to 37% significant reduction in the number of head impacts (per exposure) through the season. These results provide additional evidence that a helmetless tackling and blocking training intervention (utilizing the HuTT® program) reduces head impact exposure in high school football players. Adherence to an intervention is crucial for achieving intended outcomes.

Biogeochemical dynamics in a marine storm demonstrates differences between natural and anthropogenic impacts

This study explores the impact of a wind storm on sediment resuspension and marine biogeochemical dynamics. Additionally, the storm took place during an expedition researching bottom trawling, enabling the direct comparison of certain natural and fisheries-related disturbances. The storm was initiated by a decline in atmospheric pressure and a 2 h period of gale force winds, which was followed by over 40 h of elevated bottom currents. Storm induced turbidity, potentially a cumulative post-fishing impact, was remarkably higher compared to what was observed in a recent trawling event. Storm-induced mixing and movement of water masses led to decreased silicate and increased phosphate concentrations in the water column, accompanied by lower salinity and higher fluorescence. The erosion depth of the seabed averaged around 0.3 cm during the peak turbidity period. Trawl-induced erosion in the area has been measured at over twice that depth, and has been linked to intermittent reductions in near-bed oxygen levels. In contrast, storm-induced turbidity coincided with increased oxygen due to wave mixing, suggesting inherent differences in how trawling and storms can oxidize reduced substances. These findings suggest that storms have a greater regional impact, whereas the local impacts of bottom trawling on biogeochemistry can be more significant.

Assessing health plan payer's budget impact of etranacogene dezaparvovec for the treatment of hemophilia B in the United States.

Etranacogene dezaparvovec is a recently approved gene therapy for people with hemophilia B (PwHB). Current standard of care is prophylaxis with factor IX (FIX) to prevent bleeding. Etranacogene dezaparvovec increases blood FIX levels such that FIX prophylaxis could be eliminated. To estimate the budgetary impact of etranacogene dezaparvovec adoption and utilization in a commercial health plan of the United States. A budget impact model was developed to evaluate the introduction of etranacogene dezaparvovec to treat severe or moderately severe hemophilia B. The model considered a hypothetical 1-million-member plan over a 5-year horizon. FIX therapy prophylaxis use was estimated based on a weighted average of relevant brands using US market share data. A scenario of etranacogene dezaparvovec adoption/utilization was compared with one without etranacogene dezaparvovec utilization. Two etranacogene dezaparvovec uptake (market share growth) analyses were performed: one with gradual uptake and alternatively assuming all eligible PwHB received etranacogene dezaparvovec in year 1. The one-time cost of etranacogene dezaparvovec was assumed to be $3.5 million. Other costs (FIX prophylaxis, disease monitoring, bleed management, and adverse events) were estimated from published literature. All costs were in 2022 US dollars. Bleed and adverse event rates were sourced from the HOPE-B trial comparing etranacogene dezaparvovec to previous FIX therapy prophylaxis. The model estimated annual and per-member per-month costs over 5 years. Secondary analyses were performed considering a 10-year horizon. In the 1-million-member health plan, an estimated 1.8 PwHB were eligible for treatment with etranacogene dezaparvovec. Gradual uptake of etranacogene dezaparvovec resulted in cumulative 5-year budget impact of $848,509 compared with a scenario without etranacogene dezaparvovec. In years 1-5, the incremental annual and per-member per-month costs ranged from $79,824 to $271,435 and from $0.007 to $0.023, respectively. In the alternative uptake analysis, etranacogene dezaparvovec became cost saving annually beginning in year 2 and cumulatively beginning in year 5, for a 5-year savings of $754,844. Secondary analyses over 10 years found both uptake analyses cost saving. Other scenarios considered did not affect results substantially. Introducing etranacogene dezaparvovec as treatment for PwHB would have a modest budget increase within 5 years after treatment but may become cost saving if all eligible PwHB were treated in year 1. Initiating PwHB on etranacogene dezaparvovec sooner may produce greater overall savings and earlier annual savings. Etranacogene dezaparvovec is a treatment option that may provide overall cost savings for US commercial health plans, which would increase as the plan size increases.

Accumulation and Potential Remediation of Copper in Golf Course Putting Greens

The objective of this study was to determine the potential accumulation of copper (Cu) within a USGA golf green profile and analyze potential remediation techniques of soils containing toxic Cu concentrations. Accumulation study utilized: copper phthalocyanine pigment (Par), copper hydroxide (Junction DF), varying concentrations of copper sulfate (CuSO4) within irrigation, and combinations of each. Products were applied over 13 weeks at Clemson University horticulture greenhouses with samples taken at thatch depth, 0-5.1 cm below thatch, and 5.1-10.2 cm below thatch at conclusion of study. Average Cu concentrations in thatch layer was 634.7 kg Cu ha-1, with 0 - 5.1 cm and 5.1 - 10.2 cm depth concentrations of 11.26 and 6.84 kg Cu ha-1, respectively. Remediation studies exposed 5 mg Cecil sandy loam to 15 ml 1000 ppm of CuSo4-Cu followed by 4 sequential 20 ml filtration cycles of 1 N ammonium sulfate, 1 N calcium nitrate, 1 N gypsum, or water. Single filtration of ammonium sulfate removed similar or greater amount of Cu than cumulative impact of 4 filtrations of any other products with 2064 mg Cu kg-1. Studies suggest that the management or removal of thatch may alleviate toxic accumulation of copper, however the use of ammonium sulfate in irrigation water may provide additional remediation options to turfgrass managers.

An inflection point-based method for estimating metrics of mangrove phenology combining climatic factors and Landsat NDVI time series

Abstract The present research evaluated the prospects of utilizing rainfall and temperature combined with Landsat-8 derived HANTS (Harmonic ANalysis of Time Series) reconstructed NDVI for estimating the metrics of the mangrove phenology. The selected period of the study was from 2013 to 2020 for the Pichavaram mangroves of Tamil Nadu. The NDVI and ERA5 (ECMWF Re-Analysis) datasets of rainfall and temperature were the input datasets for developing the new algorithm. The ‘z-score sum’ provided a measure of the cumulative impact of rainfall and temperature, displaying its most negative value coinciding with the peak positive value of the NDVI time series datasets. The algorithm developed for phenological metrics estimation identified the common inflection points of the z-score sum and NDVI curves. The temporal analysis of metrics revealed the average Length of Season (LoS) as 230 days. The metrics also identified the drought year 2016 with the shortest LoS and the least Gross Primary Productivity (GPP) values. The analysis showed the influences of the preceding year’s monsoon rainfall on the GPP values of the later part of the phenological cycle. The temperatures during the days of PoS were found to be the optimum temperature for the growth of mangroves.

The impact of intermittent hypoxemia on type 1 retinopathy of prematurity in preterm infants.

Intermittent hypoxemia (IH) may influence retinopathy of prematurity (ROP) development in preterm infants, however, previous studies had mixed results. This study tests the hypothesis that increased IH is associated with Type 1 ROP; a stage beyond which treatment is indicated. IH was quantified by continuously monitoring oxygen saturation (SpO2) using high-resolution pulse oximeters during the first 10 weeks of life. Statistical analyses assessed the relationship and predictive ability of weekly and cumulative IH for Type 1 ROP development. Most analyses showed no association between IH and Type 1 ROP adjusting for gestational age (GA) and birth weight (BW). However, cumulative IH of longer duration during weeks 5-10, 6-10, and 7-10 were significantly associated with Type 1 ROP adjusting for GA and BW, e.g., the adjusted odds ratio of Type 1 ROP was 2.01 (p = 0.03) for every 3.8 seconds increase in IH duration from week 6-10. IH did not provide statistically significant added predictive ability above GA and BW. For most analyses there was no significant association between IH and Type 1 ROP adjusting for GA and BW. However, infants with longer IH duration during the second month of life had higher risk for Type 1 ROP. The relationship and predictive ability of intermittent hypoxemia (IH) on retinopathy of prematurity (ROP) is controversial. This study shows no significant association between IH events and Type 1 ROP after adjusting for gestational age (GA) and birth weight (BW), except for cumulative IH of longer duration in the second month of life. In this cohort, IH does not provide a statistically significant improvement in ROP prediction over GA and BW. This study is the first to assess the cumulative impact of IH measures on Type 1 ROP. Interventions for reducing IH duration during critical postnatal periods may improve ROP outcomes.

Integration of Decentralized Graph-Based Multi-Agent Reinforcement Learning with Digital Twin for Traffic Signal Optimization

Machine learning (ML) methods, particularly Reinforcement Learning (RL), have gained widespread attention for optimizing traffic signal control in intelligent transportation systems. However, existing ML approaches often exhibit limitations in scalability and adaptability, particularly within large traffic networks. This paper introduces an innovative solution by integrating decentralized graph-based multi-agent reinforcement learning (DGMARL) with a Digital Twin to enhance traffic signal optimization, targeting the reduction of traffic congestion and network-wide fuel consumption associated with vehicle stops and stop delays. In this approach, DGMARL agents are employed to learn traffic state patterns and make informed decisions regarding traffic signal control. The integration with a Digital Twin module further facilitates this process by simulating and replicating the real-time asymmetric traffic behaviors of a complex traffic network. The evaluation of this proposed methodology utilized PTV-Vissim, a traffic simulation software, which also serves as the simulation engine for the Digital Twin. The study focused on the Martin Luther King (MLK) Smart Corridor in Chattanooga, Tennessee, USA, by considering symmetric and asymmetric road layouts and traffic conditions. Comparative analysis against an actuated signal control baseline approach revealed significant improvements. Experiment results demonstrate a remarkable 55.38% reduction in Eco_PI, a developed performance measure capturing the cumulative impact of stops and penalized stop delays on fuel consumption, over a 24 h scenario. In a PM-peak-hour scenario, the average reduction in Eco_PI reached 38.94%, indicating the substantial improvement achieved in optimizing traffic flow and reducing fuel consumption during high-demand periods. These findings underscore the effectiveness of the integrated DGMARL and Digital Twin approach in optimizing traffic signals, contributing to a more sustainable and efficient traffic management system.

Acculturative stress and psychological distress during COVID-19, among racial-ethnic minority immigrants in the US

ABSTRACT Guided by Berry’s conceptualization of acculturative stress and Hovey’s acculturative stress framework, this cross-sectional study examines the relationship between migratory acculturative stress and psychological distress among racial-ethnic minority US immigrants (n = 202). The multiple linear regression indicated that respondents reported moderate psychological distress, acculturative stress, social support, and COVID impact. Pre-migration and post-migration acculturative stress factors predicted higher psychological distress; however, only the subscale of socioeconomic stressors remained statistically significant once the COVID impact scale was also modeled. Future research and practice efforts need to attend to the cumulative impact of acculturative stress and pandemic disruptions inhibiting the psychological well-being of racially minoritized immigrants.