Bidirectional Links Research Articles

Bidirectional Mendelian randomization links gut microbiota to primary biliary cholangitis.

Primary biliary cholangitis (PBC) and gut microbiota (GM) are epidemiologically correlated but the causal inter-relationships remain poorly understood. We aim to explore the causal relationships between GM and PBC. Using the MiBioGen consortium, GWAS data for GM at the species level and the largest publicly available PBC GWAS data to date, we performed a bidirectional two-sample Mendelian randomization by the inverse variance weighted, MR-Egger, weighted median, weighted model and MR-PRESSO to elucidate the potential causal role of GM in PBC. To measure the heterogeneity of instrumental variables (IV), Cochran's Q statistic and MR-Egger intercept test were used. Genetically instrumented order Coriobacteriales (odds ratio [OR] = 2.18, 95% confidence interval [CI] 1.30-3.66, P = 0.004) significantly increased the risk for PBC, while genetically driven class Deltaproteobacteria (OR = 0.52, 95% CI 0.36-0.74, P = 0.002) causally decrease the NAFLD risk. Reverse MR analysis showed no significant association between PBC and the two specific GM. However, it indicated that PBC progression significantly increases the abundance of the class Bacteroidia, order Bacteroidales, and phylum Bacteroidetes (OR = 1.02, 95% CI 1.002-1.03, P = 0.026), while decreasing the abundance of the genus Lachnospiraceae UCG010 (OR = 0.98, 95% CI 0.96-0.995, P = 0.026). Our study demonstrated that genetically driven order Coriobacteriales and class Deltaproteobacteria were causally related to PBC risk. This causality provided a new perspective on ameliorating PBC by modulating GM. Our study demonstrated that genetically driven order Coriobacteriales and class Deltaproteobacteria were causally related to PBC risk. PBC was causally related to the abundance of four GM taxa(class Bacteroidia, order Bacteroidales, phylum Bacteroidetes and genus Lachnospiraceae UCG010). This causality provided a new perspective on ameliorating PBC by modulating GM.

Urban–rural links in relaunching left-behind places: the case of Portuguese municipalities

Abstract During the last few decades, the gap between the most prosperous metropolitan areas and the rural areas has widened, especially since the 2008 crisis. This gap has been particularly relevant in relation to population and employment. However, the bi-directional links in terms of population and employment between rural places and the most urbanized areas have been partly overlooked by the literature. At the same time, recent studies have brought the plight of “left-behind” areas to the forefront, highlighting rural as well as other types of “left-behind” places as focal points of discontent. In the context of the debate on left-behind areas, and in an attempt to address the decline in population and employment that they are experiencing, this article proposes a strategy based on the spatial interactions among the different types of territories. Specifically, we develop a spatial econometric model capable of testing all interactions among different territorial typologies based on their degree of urbanization. We apply the model to 278 continental municipalities in Portugal during the period 2010–8. The model estimates have implications for understanding the dynamics of territorial interactions in Portugal, highlighting the crucial role of semi-urban municipalities. The results reveal the positive and significant connections between change in employment in semi-urban municipalities and population change in both neighboring rural and urban municipalities. The findings suggest that semi-urban/rural diffusion should be promoted as a policy approach to left-behind rural places in Portugal.

Single laser based novel wavelength shift keying scheme for ground to satellite bidirectional links

Abstract Laser communication in space is gaining more recognition due to its ability to provide a much broader and unregulated data transmission capacity compared to traditional radio frequency systems, while also significantly decreasing the size, power requirements, and weight of the communication system. In this work, a novel technique for the generation of a wavelength shift keying (WSK) signal for the bidirectional transmission of 10 Gbps data between the ground station and low Earth orbit (LEO) satellite is presented. Our proposed scheme requires a single laser source to transmit WSK signal, that generally requires two wavelength sources to transmit the binary data bits. Furthermore, the scheme allows us to remodulate the optical signal received at the LEO satellite for downlink signal transmission. Therefore, the requirement of a laser source at the LEO satellite is eliminated, achieving the much desirable goals of low power consumption, weight and cost. The free space optical (FSO) channel is modelled using the gamma-gamma channel model. The performance of the proposed link is also compared with a conventional On-Off keying (OOK) based modulation scheme by using bit-error-rate (BER) as the performance metric.

Simply unidirectional? A cross-lagged panel analysis of the links between perfectionism, academic motivation and engagement

Perfectionism is widely recognised as a key factor in students’ learning experiences, but such evidence is primarily derived from cross-sectional studies testing unidirectional links. To fill in the gap, our study used a longitudinal design and made the initial attempt to examine the bi-directional links between two types of perfectionism (personal standards and concerns over mistakes), two types of academic motivation (intrinsic and extrinsic motivation), and academic engagement. Results from the cross-lagged panel analysis among Chinese university students found that personal standards and intrinsic motivation were positively and reciprocally related. Another reciprocity was revealed: intrinsic motivation positively predicted later extrinsic motivation, while extrinsic motivation negatively predicted later intrinsic motivation. Besides, our study revealed several unidirectional links: intrinsic motivation positively predicted later academic engagement, extrinsic motivation positively predicted later concerns over mistakes, and academic engagement negatively predicted later concerns over mistakes.

Exploring reciprocal links between early adolescent coping and internalizing symptoms.

The rising prevalence of depression and anxiety among adolescents is a public health concern. Early adolescence is a key developmental period to reduce risks for internalizing symptoms through primary prevention programs, yet additional research is needed on modifiable factors, such as coping skills, to target to mitigate risk factors. Therefore, we investigated the reciprocal link between coping style and internalizing symptoms among a racially/ethnically diverse sample of early adolescents (n = 1273) from 12 middle schools over 1 year. We leveraged a longitudinal data set of a cluster, randomized trial of a preventive intervention from 12 middle schools in a large public-school district in the United States to test our hypotheses using multilevel modeling. The sample was 49% female and racially/ethnically diverse (39% Hispanic/Latinx, 23% Black/African American, 12% Asian or Pacific Islander, 11% other, 9% White, and 5% multiracial). Participants (ages 12-14) completed a baseline questionnaire in 7th grade (Spring 2018) and a 1-year follow-up questionnaire in 8th grade (Spring 2019). Depressive and anxious symptoms affected levels of active and avoidant coping skill use over the 1-year period of the study, indicating that symptoms can be an impetus for maladaptive coping. We also identified bidirectional links between active coping and depression in addition to avoidant coping and anxiety. Our findings have implications for augmenting coping psychoeducation within prevention programs to reduce internalizing symptoms among early adolescents and for future longitudinal and qualitative research exploring how coping skills reduce risks for internalizing symptoms throughout adolescence and into early adulthood.

The moderating effects of environmental and regulatory quality on financial development to promote sustainable FDI inflows in Canada

Stimulating sustainable FDI through the connection of financial development and its moderating relationships with environmental quality and regulatory quality emerges as a crucial agenda nowadays. This study investigates into this relationship using quarterly data from 1990Q1 to 2022Q4 for Canada; employing ARDL bound tests, Granger Causality, and FM-OLS econometric models. Foreign direct investment is the dependent variable of this study. The findings confirm significant long-run relationships among financial development, stock market development, and the moderating effects of environmental and regulatory quality on FDI inflows in the Canadian economy. Conversely, in the short run, financial development, stock market development, and economic growth exhibit bidirectional causal links with FDI, while environmental quality, regulatory quality, and trade openness demonstrate unidirectional causal links with FDI. The error correction mechanism indicates that all variables quickly return to equilibrium except trade openness. Robustness checks further confirm that all the variables have fully modified co-integrating relationship with FDI inflows including the moderating effects of environmental and regulatory quality which is the innovation in the FDI-Growth existing literature. Thus, policymakers are urged to prioritize environmental quality and regulatory quality, alongside other significant explanatory variables identified in this study to promote sustainable FDI inflows.

The Water, Food, and Energy Nexus: The Inclusive Roles of Governance and Finance in South Asia

ABSTRACTThis research aims to identify the intricate connections arising from finance and governance to water, food, and energy, utilizing data from 2000 to 2021 for eight South Asian countries. To address cross‐sectional dependence and panel heterogeneity, this study applied an augmented mean group (AMG) approach to discover long‐term connections across the chosen indicators. The estimators' outcome shows interconnectedness across water, food, and energy (WFE) resources, showing that water promotes food and energy, and food promotes water and energy. In contrast, energy fosters food production and reduces water availability. Further, governance positively influences food production (0.434%), water (0.044%), and energy consumption (0.142%). Likewise, finance positively and significantly responds to WFE consumption. Our results highlighted that governance unilaterally influences energy dynamics while bidirectional causal links emerge between finance, food, and energy. The obtained outcomes are re‐validated with feasible generalized least square (FGLS) and Driscoll and Kraay (DK) estimators. Ultimately, our study offers valuable insights for shaping economic, environmental, and food and water security policies in the region and beyond.

Mental Health, Socioeconomic Position, and Oral Health: A Path Analysis.

Mental health conditions and poor oral health outcomes share bidirectional links, and both are linked to factors related to socioeconomic position (SEP). We used nationally representative survey data to describe the complex interplay of SEP, mental health, oral health behaviors, dental treatment seeking, and oral health. We used data from the 2022 State of Oral Health Equity in America survey, which collects data from US adults on prior depression diagnosis and current depressive symptoms via the Patient Health Questionnaire-9 and demographic characteristics (age, sex/gender, race, ethnicity), SEP (education, income, employment, home ownership, dental insurance), oral health behaviors (brushing and flossing frequency), dental treatment seeking (time since last visit, plans for visit in the coming year), and self-rated oral health (feeling self-conscious due to poor oral health, having symptoms of poor oral health). We used structural equation modeling to identify latent variables and fit the path analytic models. In the total sample (N = 5,682), SEP was significantly associated with dental treatment seeking (standardized parameter estimate [SE] = 0.55 [0.05]), oral health behaviors (standardized parameter estimate [SE] = 0.34 [0.04]), and mental health (standardized parameter estimate [SE] = 0.59 [0.05]). These factors, in turn, were significantly associated with self-rated oral health (estimates ranging from 0.20 to 0.54, SEs ranging from 0.04 to 0.05). SEP, which involves several major social determinants of health, is directly associated with mental health and indirectly associated with self-rated oral health status, with mental health modifying the relationship between SEP and self-rated oral health. Findings emphasize the need to integrate medical, dental, and behavioral health with the goal of providing comprehensive person-centered care.

Exploring the reciprocal relationships between body image flexibility and body fat and muscularity dissatisfaction: An 18-month longitudinal study in Chinese adolescents

Body image flexibility has shown robust negative associations with body dissatisfaction. However, research in this area is confined to cross-sectional studies on adults in Western cultural contexts. Responding to these gaps and the unique cultural nuances and increasing prevalence estimates of body dissatisfaction in China, we examined the bi-directional nature of body image flexibility and body fat and muscularity dissatisfaction in Chinese adolescent boys and girls (N = 1381, 57.3 % girls) at two points over 18 months (Wave [W] 1=baseline, W2=18 months later). We also explored sex differences in longitudinal models. In boys, higher W1 body image flexibility was associated with lower W2 body fat dissatisfaction, and higher W1 body fat dissatisfaction was associated with lower W2 body image flexibility. Null prospective associations between body image flexibility and muscularity dissatisfaction were identified in boys. In girls, higher W1 body fat and muscularity body dissatisfaction were associated with lower W2 body image flexibility. Higher W1 body image flexibility was associated with lower W2 body fat and muscularity dissatisfaction in girls. We found no significant sex differences in the models. Findings advance a multicultural understanding of the temporal and bi-directional links between body image flexibility and body fat and muscularity dissatisfaction in Chinese adolescents.

Beyond BiCIKL: Towards Building an AI-Assisted “Biodiversity Supergraph”

BiCIKL (Biodiversity Community Integrated Knowledge Library) is a European Union (EU) Horizon 2020 project (2021–2024) building a new community of research infrastructures (RIs), researchers and other stakeholders, through improved access to interlinked, open and FAIR (Findable, Accessible, Interoperable, Reusable) biodiversity data along the biodiversity research cycle (specimens, sequences, taxon names, publications) (Penev et al. 2022). The project’s 14 partners developed or substantially improved 16 tools and services currently in process of onboarding to the European Open Science Cloud (EOSC), presented in the FAIR Data Place (FDP) of BiCIKL’s flagship product, the Biodiversity Knowledge Hub (BKH). The tools and data were used in Open Call projects, performed by research groups worldwide. A key achievement of BiCIKL is the establishment of several new bi-directional links between the participating RIs through shared and interoperable data standards and web services. The sustainability of the BiCIKL services and especially of the strong collaborative spirit developed through the project will be ensured by a membership agreement for the BKH maintenance and further development. The results of BiCIKL are diverse and tackle various aspects of the implementation of open science practices in biodiversity research. The project partners and external collaborators from the Open Call projects published more than 80 papers and conference abstracts (see the article collections in Penev et al. 2022a and Thessen et al. 2023), two policy briefs (Penev et al. 2024, Agosti et al. 2024), three Biodiversity Information Science (TDWG) symposia (2021, 2023, 2024), several videos and factsheets and other training materials, guidelines and best practice recommendations, and so on. In the special focus of BiCIKL was the extraction and liberation of data from the PDFs of several thousands of published biodiversity articles making it accessible and re-usable. The new BiCIKL community proved to be successful in both technological innovation and long-lasting spirit of collaboration between biodiversity and genomics researchers, data repositories, RIs, publishers and other stakeholders. Beyond BiCIKL, we envisage our work towards further integration and interoperability between data domains by embracing human-in-the-loop collaborations, enhanced by Artificial Intelligence (AI). The implementation of AI and Large Language Models (LLM) should be possible when considering an important condition: to understand the complexity of past, recent and future changes in biodiversity and natural environments the use of AI tools should be based on аdequately curated, semantically structured and interlinked biodiversity data. We see this radical new step as a concerted community effort towards building a “Biodiversity Supergraph” (Fig. 1), understood here as a two-component ecosystem consisting of: centrally orchestrated system of tools and services, and distributed sources of transformed, semantically enhanced FAIR Linked Open Data, supplied by the partnering RIs. centrally orchestrated system of tools and services, and distributed sources of transformed, semantically enhanced FAIR Linked Open Data, supplied by the partnering RIs. The “Biodiversity Supergraph'' will provide integration of the biodiversity data on a scale and operational level that has never been attempted before. It is key for the next decade, to enable a baseline of global, biodiversity-related information serving organisations, academia, industry and society.

The interplay between total quality management (TQM) and organizational learning: similarities or complementarities?

Purpose Previous contributions have reported a reciprocal relationship between total quality management (TQM) and organizational learning (OL). This paper aims to provide a clarified understanding of this relationship. Design/methodology/approach A content analysis of 15 studies published in academic journals since 2000 was conducted to examine the reciprocal relationship between TQM and OL. The findings of this analysis, along with potential explanations for bidirectional links, are discussed. Findings This paper’s main contribution is to explain the interplay between these two management approaches by sorting the practices, behaviors, and values regarding their focus. The findings have identified two foci precisely common focus and complementary focus. Originality/value The relationship between TQM and OL has been examined in previous studies. Whereas, this study examines the reciprocal relationship between these approaches. This review presents new insights into the relationship between these approaches.

Dissociations between animalistic and mechanistic dehumanization in the context of labor exploitation

Across eight studies (and two additional supplemental studies), we investigate possible bidirectional causal links between dehumanization and exploitation (total N = 5923). Participants were less opposed to the exploitation of mechanistically dehumanized workers – i.e., workers perceived to lack traits central to human nature like emotionality and warmth – than other workers (Studies 1–5). The effects of mechanistic dehumanization on exploitation judgments were statistically explained by perceptions that mechanistically dehumanized workers are more capable of enduring experiences that typically elicit suffering and hardship (Studies 2–4). We also found evidence against several other possible explanations for the effects of mechanistic dehumanization on exploitation judgments (i.e., competence, dependability, likeability; Studies 2–4). In addition, we found consistent evidence for the reverse causal pathway: Workers who are exploited – relative to workers who are not exploited – are more likely to be attributed qualities indicative of mechanistic dehumanization (Studies 6–8; Supplemental Studies 1–2). The effects across studies were invariant to job type, the perceived race/ethnicity and gender of the target worker, and the specific case of exploitation. In addition, the relationships between dehumanization and exploitation judgments were specific to the mechanistic form of dehumanization and not the animalistic form – i.e., perceiving others as lacking traits that distinguish humans from animals like self-control, rationality, civility. These bidirectional causal relations between mechanistic dehumanization and exploitation have the potential to create a vicious cycle of suffering and unfair treatment for certain workers.

Examining bi-directional links between loneliness, social connectedness and sleep from a trait and state perspective

Greater loneliness as well as a lack of social connectedness have often been associated with poorer sleep. However, the temporal dynamics and direction of these associations remain unclear. Aim of the current study was to examine bi-directional associations between loneliness/social connectedness and sleep in 48 stress-exposed medical students during their first medical internship, considered a period of heightened stress. We obtained trait-level questionnaire data on loneliness and global sleep completed before and during the internship as well as state-level diary- and wearable-based data on daily changes in social connectedness and sleep collected twice over the period of seven consecutive days, once before and once during the internship. Bi-directional associations among greater loneliness and higher daytime dysfunction on trait-level were identified. In addition, several uni-directional associations between loneliness/social connectedness and sleep were found on trait- and state-level. In sum, findings of this study point at a bi-directional relation among loneliness/social connectedness and sleep, in which variables seem to reciprocally influence each other across longer-term periods as well as on a day-to-day basis.

Eye-brain connections revealed by multimodal retinal and brain imaging genetics

The retina, an anatomical extension of the brain, forms physiological connections with the visual cortex of the brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship to brain structure and function is not well understood. In this study, we conducted a systematic cross-organ genetic architecture analysis of eye-brain connections using retinal and brain imaging endophenotypes. We identified novel phenotypic and genetic links between retinal imaging biomarkers and brain structure and function measures from multimodal magnetic resonance imaging (MRI), with many associations involving the primary visual cortex and visual pathways. Retinal imaging biomarkers shared genetic influences with brain diseases and complex traits in 65 genomic regions, with 18 showing genetic overlap with brain MRI traits. Mendelian randomization suggests bidirectional genetic causal links between retinal structures and neurological and neuropsychiatric disorders, such as Alzheimer’s disease. Overall, our findings reveal the genetic basis for eye-brain connections, suggesting that retinal images can help uncover genetic risk factors for brain disorders and disease-related changes in intracranial structure and function.

The Technological Effects of Renewable and Non-Renewable Energy on Agricultural Productivity in Developed Countries

Existing literature confirms both the role of agricultural technology in elevating agricultural productivity and the positive effects of green energy on environmental sustainability; nevertheless, less attention has been paid to agrotechnology’s energy sources and their adaptability to agri-environmental conditions using econometric methods. This study examines the association between renewable and non-renewable energy agrotechnology, and agricultural productivity in 32 developed nations from 2000 to 2021. We apply a difference Generalised Method of Moments (GMM) panel data estimation and Dumitrescu and Hurlin causality test. The findings report a significant and negative coefficient for non-renewable energy agrotechnology indicating that fossil fuel agrotechnology reduces agricultural productivity and thereby causes concerns over sustaining agricultural growth in developed countries. In contrast, the coefficient of renewable energy agrotechnology is positive and highly statistically significant, confirming maximising effects on agricultural productivity. We conduct two robustness checks to assess the credibility of the results. Using panel quantile regression analysis allows for establishing various relationships between the estimated variables at different quantiles of agricultural productivity. Testing for Dumitrescu and Hurlin causality test, we find bidirectional causal links between agricultural productivity and non-renewable energy agrotechnology, renewable energy agrotechnology and FDI, but only a one-way causal relationship between the other variables. This result suggests no integrated policy among the developed countries towards agricultural sustainability, despite their commitments to the Sustainable Development Goals (SDGs). These findings emphasise the employment of sustainable renewable energy agrotechnology as a strategy to tackle the fundamental problems of sustainable agricultural growth.

Antecedents and consequences of student academic worries about the secondary school transition

This longitudinal study examined the possible antecedents and consequences of academic worries about the secondary school transition. It had two main goals. The first goal was to examine bidirectional links between student academic worries and their academic amotivation and test anxiety during the last two years of primary school (Grades 5 and 6). The second aim was to investigate the contribution of these factors to student school functioning after the transition. A sample of 341 students (49 % boys; Mage = 10.78) and one of their parents took part in the study. Results of structural equation modeling revealed that test anxiety positively predicted academic worries; academic worries positively predicted amotivation in Grade 6; academic worries and amotivation negatively predicted achievement and positively predicted academic maladjustment in secondary school; and test anxiety positively predicted academic maladjustment in secondary school. Implications for school-based interventions are discussed.

State of the art: Alternative overlap syndrome-asthma and obstructive sleep apnea.

In the general population, Bronchial Asthma (BA) and Obstructive Sleep Apnea (OSA) are among the most prevalent chronic respiratory disorders. Significant epidemiologic connections and complex pathogenetic pathways link these disorders via complex interactions at genetic, epigenetic, and environmental levels. The coexistence of BA and OSA in an individual likely represents a distinct syndrome, that is, a collection of clinical manifestations attributable to several mechanisms and pathobiological signatures. To avoid terminological confusion, this association has been named alternative overlap syndrome (vs overlap syndrome represented by the chronic obstructive pulmonary disease-OSA association). This comprehensive review summarizes the complex, often bidirectional links between the constituents of the alternative overlap syndrome. Cross-sectional, population, or clinic-based studies are unlikely to elucidate causality or directionality in these relationships. Even longitudinal epidemiological evaluations in BA cohorts developing over time OSA, or OSA cohorts developing BA during follow-up cannot exclude time factors or causal influence of other known or unknown mediators. As such, a lot of pathophysiological interactions described here have suggestive evidence, biological plausibility, potential or actual directionality. By showcasing existing evidence and current knowledge gaps, the hope is that deliberate, focused, and collaborative efforts in the near-future will be geared toward opportunities to shine light on the unknowns and accelerate discovery in this field of health, clinical care, education, research, and scholarly endeavors.

Preference for digital media use, biobehavioral attention bias, and anxiety symptoms in adolescents

Adolescence is a critical developmental period of biological and social change during which 1 in 3 youth experience significant anxiety symptoms. The social-emotional lives of the majority of adolescents are largely conducted via digital media use (DMU; e.g., social media, text messaging). Yet the past decade of research on DMU and anxiety has yielded mixed results (e.g., Keles et al., 2020 review), leaving the complex role that DMU might play in the emergence and maintenance of anxiety poorly understood. A key step forward is to leverage psychophysiology to identify individual differences in cognitive and emotional processes that confer vulnerability to potential negative effects of DMU. Further, given the ubiquity of DMU, a greater focus is needed on measurements that move beyond sheer frequency to capture DMU in comparison to face-to-face (FTF) social interactions. This study examined attention bias (AB), characterized by selective and exaggerated attention toward or away from threat, as a moderator of the link between DMU and anxiety in adolescents (N = 75; 42 female) aged 12–14 years (M = 13.28, SD = 0.87). AB was indexed during a dot probe task using reaction time metrics (i.e., trial-level bias) and via ERPs capturing attentional selection and discrimination (N170) and cognitive control (N2) to threat compared to neutral faces. AB moderated associations between DMU and anxiety. A greater preference to use DMU vs FTF predicted greater anxiety among those with a greater behavioral bias away from threat, blunted N170, and blunted N2 in the presence of threat. Future research should examine potential causal and bidirectional links between DMU and anxiety and explore whether preferences for technology-mediated interactions and individual differences in threat processing increase risk.

Elucidating the association of obstructive sleep apnea with brain structure and cognitive performance

BackgroundObstructive sleep apnea (OSA) is a pervasive, chronic sleep-related respiratory condition that causes brain structural alterations and cognitive impairments. However, the causal association of OSA with brain morphology and cognitive performance has not been determined.MethodsWe conducted a two-sample bidirectional Mendelian randomization (MR) analysis to investigate the causal relationship between OSA and a range of neurocognitive characteristics, including brain cortical structure, brain subcortical structure, brain structural change across the lifespan, and cognitive performance. Summary-level GWAS data for OSA from the FinnGen consortium was used to identify genetically predicted OSA. Data regarding neurocognitive characteristics were obtained from published meta-analysis studies. Linkage disequilibrium score regression analysis was employed to reveal genetic correlations between OSA and related traits.ResultsOur MR study provided evidence that OSA was found to significantly increase the volume of the hippocampus (IVW β (95% CI) = 158.997 (76.768 to 241.227), P = 1.51e-04), with no heterogeneity and pleiotropy detected. Nominally causal effects of OSA on brain structures, such as the thickness of the temporal pole with or without global weighted, amygdala structure change, and cerebellum white matter change covering lifespan, were observed. Bidirectional causal links were also detected between brain cortical structure, brain subcortical, cognitive performance, and OSA risk. LDSC regression analysis showed no significant correlation between OSA and hippocampus volume.ConclusionsOverall, we observed a positive association between genetically predicted OSA and hippocampus volume. These findings may provide new insights into the bidirectional links between OSA and neurocognitive features, including brain morphology and cognitive performance.

0899 Bidirectional Links of Daily Sleep Quality and Duration with Pain in Veterans with Alcohol Use Disorder

0899 Bidirectional Links of Daily Sleep Quality and Duration with Pain in Veterans with Alcohol Use Disorder