Consistent Predictor Research Articles

Nostalgic deprivation and populism: Evidence from 19 European countries

AbstractPopulist parties have been increasingly successful in European politics over the last decade. Although research suggests that nostalgic deprivation – a perceived loss of economic, political or social status — is linked to support for populist parties, the generalizability of this argument across voters and national contexts remains unclear. In this research note, we leverage original representative surveys across 19 European countries to demonstrate that perceptions of declining status are a consistent predictor of populist support. Decomposing nostalgic deprivation into different dimensions, we find that while social, economic and power deprivation have different antecedents, each predicts populist attitudes and voting behaviour. Moreover, we find that nostalgic deprivation predicts support for populist platforms among both left‐wing and right‐wing respondents, as well as across Eastern and Western Europe. While the antecedents differ across contexts, these findings confirm that perceptions of downward mobility are associated with the rise of populism in Europe.

Determinants of shared and idiosyncratic contributions to judgments of faces.

Recent work has shown that the idiosyncrasies of the observer can contribute more to the variance of social judgments of faces than the features of the faces. However, it is unclear what conditions determine the relative contributions of shared and idiosyncratic variance. Here, we examine two conditions: type of judgment and diversity of face stimuli. First, we show that for simpler, directly observable judgments that are consistent across observers (e.g., masculinity) shared exceeds idiosyncratic variance, whereas for more complex and less directly observable judgments (e.g., trustworthiness), idiosyncratic exceeds shared variance. Second, we show that judgments of more diverse face images increase the amount of shared variance. Finally, using machine-learning methods, we examine how stimulus (e.g., incidental emotion resemblance, skin luminosity) and observer variables (e.g., race, age) contribute to shared and idiosyncratic variance of judgments. Overall, our results indicate that an observer's age is the most consistent and best predictor of idiosyncratic variance contributions to face judgments measured in the current research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Change in vaping, smoking and dual-use identities predicts quit success and cigarette usage: A prospective study of people quitting smoking with electronic cigarette support.

Electronic cigarettes (ECs) are an efficacious support for some but not all people wishing to stop using tobacco. While advice and practical support have been identified as increasing quit success, little research has explored the role of changes in smoking and EC-related social identities. A prospective study following 573 people attempting to quit smoking with EC support. Self-report measures of identification with being a smoker, non-smoker, vaper and dual user (people using ECs and tobacco products) were taken prior to the quit attempt and at a 12-week follow-up. Baseline identifications with being a smoker, non-smoker or dual user were not associated with smoking outcomes. Baseline vaper identity baseline was linked to more frequent tobacco abstinence at follow-up and lower levels of cigarette smoking. Levels of social identification at follow-up were consistently linked with outcomes, with vaper identity and non-smoking identities being protective and dual user identity being related to lower abstinence rates but decreased tobacco usage. Changes in identity over time were the most consistent predictor of outcomes. Findings have implications for smoking cessation practice, informing how and when identity-based interventions may be effective and our understanding of how identity transitions occur.

Regional variation in the landscape ecology of West Nile virus sentinel chicken seroconversion in Florida.

How landscape composition and configuration impact the distribution of multi-vector and multi-host mosquito vector-borne disease systems, such as West Nile virus (WNV), remains challenging because of complex habitat and resource requirements by hosts and vectors that affect transmission opportunities. We examined correlations between landscape composition and configuration and 2018 WNV sentinel chicken seroconversion in Florida, USA across the state and within five National Oceanic Atmospheric Administration (NOAA) bioclimatic regions to understand strength and variation of landscape effects during an elevated transmission year. Although few landscape studies have examined WNV in Florida, we expected higher percentages of residential or medium-developed landscapes and more fragmented landscapes would be positively correlated with WNV seroconversion owing to the main mosquito vector habitats and avian host distributions. However, we expected to find variation in the importance of forest, wetland, and agriculture landscapes across bioclimatic regions in the state. WNV seroconversion rates were calculated using Florida 2018 Department of Health WNV sentinel chicken seroconversion data from 187 flocks maintained by mosquito control programs. Percent land cover and edge density metrics were calculated for multiple land cover classes and within multiple buffer distances from chicken coops using 2019 National Land Cover Data. We used binomial generalized linear mixed effects models to calculate the importance of landscape metrics to WNV seroconversion. We found no statewide predictors of seroconversion, but as expected, the importance of landscape varied across regions. In the north-central part of the state, we found higher seroconversion in less populated suburban areas while higher seroconversion in south-central Florida was correlated with fragmented forested areas within 0.5 km of coops and intact woody wetland areas within 2 km of coops. This work corroborates previous findings that consistent landscape predictors of WNV are difficult to identify across broader geographic areas and sets the stage for additional work that incorporates climate and landscapes interactions for a greater understanding of WNV ecology in this geographic region.

Self-stigma in alcohol dependence scale: development and validity of the short form

BackgroundSelf-stigma is associated with low self-esteem, high shame and reduced drinking-refusal self-efficacy in people with alcohol use disorder (AUD). The Self-Stigma in Alcohol-Dependence Scale-Short Form (SSAD-SF) was designed to enable a brief, but valid assessment of AUD self-stigma.MethodsWe reduced the 64-item SSAD, originally derived from 16 stereotypes towards people with AUD, by removing the most offensive items based on perspectives of people with lived experience. The newly created scale was then assessed and validated in a cross-sectional study involving 156 people reporting alcohol issues in various treatment settings.ResultsThe 20-item SSAD-SF includes five stereotypes, with good internal consistency for each subscale and the overall scale. It reflects the four-stage progressive model of self-stigmatization with decreasing scores over the stages awareness of stereotypes, agreement with stereotypes, self-application of stereotypes, and harmful consequences for self-esteem, and highest correlations between adjacent stages. The subscales apply and harm were associated with internalized stigma, shame, reduced self-esteem, and lower drinking-refusal self-efficacy, as supported by multivariate regression models.DiscussionThe SSAD-SF is a valid instrument for measuring the process of self-stigmatization in people with AUD. Self-stigma is a consistent predictor of reduced self-esteem, higher shame and lower drinking-refusal self-efficacy in people with AUD. We discuss merits of the progressive model for understanding and addressing self-stigma in AUD.

Russians’ Attitudes Towards the War in Ukraine

ABSTRACTThe Russian invasion of Ukraine has caused considerable military casualties on both sides and widespread harm to Ukrainian civilians. While polls suggest that a slim majority of Russians endorse the invasion, the factors underpinning this support remain uncertain. We investigated factors associated with support for the war among Russians. In three large, diverse, samples of Russian adults (total N = 2856), we extend the dual process motivational model to the context of international warfare, focusing on two key ideologies: right‐wing authoritarianism (RWA) and social dominance orientation (SDO). Consistent with polling data, we find that approximately half of the participants support the war. Across studies, RWA, especially its submission facet, emerges as a strong and consistent predictor of increased support for the war in Ukraine. In contrast, the associations with SDO are weaker and more inconsistent, with anti‐egalitarianism playing only a minor role in opposing peace efforts. Additionally, factors such as Russian identification, nationalism, group efficacy, war‐related misperceptions and collective narcissism also contribute to war support. Our findings suggest that Russian support for the war may reflect broader support for the existing regime with backing for the military intervention serving as a demonstration of loyalty to Vladimir Putin and his government.

Who flourishes in school? The interplay of academic self-concept and personality and its role for academic performance in middle adolescence.

Why are some students more successful than others? We combined motivational and personality predictors and jointly examined the relevance of subject-specific academic self-concepts and Big Five personality traits for academic performance. Based on data from two independent studies of German 9th graders (Study 1: N = 1,508, Mage = 14.98 years, 51% female, 38% immigrant background; Study 2: N = 19,783, Mage = 15.10 years, 50% female, 36% immigrant background), we, first, estimated latent bivariate correlations to investigate the nomological net between these socioemotional characteristics. Second, using latent moderated regression models, we examined the role of the main and interaction effects of both characteristics for academic performance levels and changes assessed by grades and test scores. Finally, we tested whether the relevance of socioemotional characteristics for academic performance differed across sociodemographic characteristics. Five findings stand out: First, we established widely consistent nomological nets between the academic self-concepts and Big Five traits, especially regarding the German self-concept. Second, the domain-specific self-concepts were consistent predictors of different academic performance measures in the respective subject. Third, beyond the established main effects of openness and conscientiousness, all Big Five traits contributed to performance in some way. Fourth, despite some inconsistencies, socioemotional characteristics formed only synergistic interaction effects. Fifth, students' sociodemographic background was likewise important illustrating main effects on performance and foremost synergistic interaction effects with socioemotional predictors. Our results highlight the complex interplay between motivation, personality, and sociodemographic variables in predicting academic achievement and underline the need to be mindful of this interactive nature. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Temporal Variability in the Incidence and Risk Factors for Pharyngocutaneous Fistula Development after Total Laryngectomy

Background: This study aimed to analyse the variability in the incidence of the pharyngocutaneous fistula (PCF), the most common complication following a total laryngectomy (TLE), and to identify the underlying causes for fluctuations in incidence rates. Methods: In the retrospective study, the annual PCF incidence data and comprehensive clinicopathologic data from 540 patients who underwent TLE between January 2004 and December 2022 were reviewed. Distinct peri ods of both high and low PCF incidence were identified. Within these periods, patients were categorized into groups with PCF (study groups) and without it (control groups). These groups were statistically compared based on potential risk factors for PCF development. The high-incidence periods were specially analysed for recurring risk factors and the corresponding corrective measures were reviewed. Results: The analysis revealed four high-incidence periods with an overall PCF incidence of 37.61%, along with three low-incidence periods in between with an overall incidence of 19.38%. Surgical wound infection (SWI) and a history of head and neck cancer alongside their related treatments were repeatedly identified as independent risk factors during high-incidence periods, with SWI being the most consistent predictor of PCF development. Conclusions: Continuous monitoring of PCF incidence is crucial, as it allows for the identification of emerging risk factors and the immediate implementation of corrective measures to mitigate these newly identified risk factors.

Trends and predictors of severe and moderate anaemia among children aged 6–59 months in India: an analysis of three rounds of National Family Health Survey (NFHS) data

BackgroundChildhood anaemia remains a significant public health problem in India, as it adversely affects child development and overall health outcomes. This study aimed to analyse the prevalence of severe and moderate anaemia among children aged 6–59 months and identify consistent predictors of this condition over the past 15 years.MethodsData from the three most recent rounds of the NFHS were used for this analysis. The final weighted sample included 40,331 children from the NFHS-3 (2005–2006), 200,093 from the NFHS-4 (2015–2016), and 178,909 from the NFHS-5 (2019–2021). Descriptive and bivariate analyses were conducted, followed by binary logistic regression to identify factors associated with severe and moderate anaemia in children aged 6–59 months. All statistical analyses were performed using Stata version 14.ResultsOver the past 15 years, the prevalence of severe and moderate anaemia among children in India has shown a slight decline. However, the influence of various predictors has changed over time. Young children (aged 6–23 months), those from Scheduled Caste (SC) and Scheduled Tribe (ST) communities, and children born to mothers with high parity and low educational attainment remain particularly vulnerable to anaemia. Additionally, short-term illness significantly increases the risk of anaemia. Furthermore, women’s autonomy, indicated by higher education and lower fertility rates, along with maternal nutrition education, have emerged as key factors in reducing anaemia burden in the future. Notably, children whose mothers had no education were 1.4 times more likely to suffer from severe or moderate anaemia. Similarly, children born to mothers with four to five children (OR 1.1, p < 0.05) and those with six or more children (OR 1.2, p < 0.05) had an elevated risk of anaemia.ConclusionThe findings highlight three key areas for programmatic focus to accelerate anaemia reduction in India: [1] targeting young children (aged 6–23 months); [2] ensuring the inclusion of SC and ST communities in all relevant interventions; and [3] promoting women’s autonomy. These strategies are essential for reducing the burden of anaemia across the country.

Enter the matrix: Examining the psychosocial determinants of support for a technocracy of artificial intelligence

AbstractArtificial Intelligence (AI) stands as the most transformative technology since the Industrial Revolution. As AI is integrated into different domains of life, it is likely to also permeate politics. In fact, some voices already advocate for AI to make political decisions. This paper emphasizes the necessity to delve into the psychosocial determinants shaping support for supporting a technocracy of AI (TecAI). The research aims to ascertain whether anomie, moderated by NCC and SDO, predicts support for TecAI across three studies involving Spanish participants (Ntotal = 754). The findings confirm anomie's predictive power on support of TecAI, albeit without establishing causality consistently, as anomie's condition failed to alter support for TecAI in experiments 2 and 3. However, an exploratory analysis showed a small effect of the subdimension of “breakdown of leadership” on support for TecAI in a directional test, informing future research. Moreover, NCC and SDO did not significantly moderate the anomie‐support‐for‐TecAI link. Ideology also emerged as a consistent predictor, with conservatives consistently showing more support, a finding that ought to be re‐examined and clarified. This study marks an initial empirical exploration into AI's political perceptions, hinting at the need for further investigation into this critical domain.

Predictors of post-operative pancreatic fistula after pancreaticoduodenectomy: systematic review and meta-analysis protocol

Abstract Pancreaticoduodenectomy is the standard treatment for resectable pancreatic head and periampullary cancers. Despite advancements, post-operative pancreatic fistula (POPF) remains a significant complication. The pathophysiology of POPF is multifactorial, involving patient-related factors, surgical technique, and postoperative management. Identifying reliable predictors for POPF is crucial for risk stratification and improving patient outcomes. This study aims to systematically review the literature and perform a meta-analysis to identify the most consistent and significant predictors of POPF following pancreaticoduodenectomy. The objectives are to evaluate preoperative, intraoperative, and postoperative factors and determine their relative importance and strength of association with POPF. This systematic review and meta-analysis will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and is registered with PROSPERO. The systematic review and meta-analysis will also follow the Population, Intervention, Comparators and Outcomes framework. A comprehensive literature search will be conducted across PUBMED, SCOPUS, and the Cochrane Library. Studies will be selected based on inclusion criteria, and data will be extracted and assessed for quality using standardized tools. Meta-analysis will be performed using a random-effects model, and the confidence in cumulative evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach.

Individual differences diminish the pretest effect under productive memory conditions.

Pretesting, or asking a test question prior to the onset of learning, is a well-established means of enhancing learning. Research on pretesting has focused primarily on direct factual learning outcomes. Yet building a coherent knowledge base also depends on productive memory processes that permit going beyond the information directly given. In the specific productive process of self-derivation through memory integration, individual differences are prominent; verbal comprehension is a consistent predictor. In the current work, we integrated these research trends by testing the extent to which pretesting enhances learning through productive memory processes and the role played by individual differences in verbal comprehension. Across four within-subjects experiments, we assessed the pretest effect after accounting for variability associated with verbal comprehension. In Experiments 1-3, we assessed the productive memory process of self-derivation through memory integration. Adults were more successful on pretest trials compared to control (i.e., no pretest) trials, but this effect was no longer significant after controlling for verbal comprehension. This pattern emerged when we used stem-fact pretests (Experiment 1) and integration-fact pretests (Experiment 2) to probe self-derivation across single-sentence stimuli and replicated when we used stimuli more akin to everyday learning materials (i.e., text passages and photographs; Experiment 3). In Experiment 4, we shifted the test target from productive processes to fact recall and found the pretest effect held even after controlling for verbal comprehension. This research bridges the pretest and productive process literature to provide novel insight into ways of maximizing learning. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Measuring Religious Evil: Examining the Use of Single-Item Measures in Religious Research

Multiple-item indexes are ubiquitous within the sociology of religion. However, there are a growing number of articles in other disciplines that have advocated the use of single-item measures in specific circumstances. Using quantitative survey data taken from the United Kingdom, this paper contributes to this literature by exploring the impact of single and multiple item measures of religious evil on a series of social and political attitudes. The findings suggest that belief in the devil is the most consistent predictor within a multiple-item measure of religious evil and the multiple-item measure does not significantly outperform single-item measures. Indeed, the item “most evil in the world is caused by the devil” could be a more efficient measure of religious evil, particularly where it is combined with religious attendance. While further cross-cultural research on the impact of belief in religious evil remains necessary, the paper also finds some evidence to suggest that exploration of more secular beliefs in evil might be advantageous.

What happens between first symptoms and first acute exacerbation of COPD - observational study of routine data and patient survey.

Chronic obstructive pulmonary disease affects nearly 400 million worldwide - over a million in the United Kingdom - and is the third leading cause of death. However, there is limited understanding of what prompts a diagnosis, how long this takes from symptom onset and the different approaches to clinical management by primary care professionals. Map out the clinical management and National Health Service contacts from symptom presentation to chronic obstructive pulmonary disease diagnosis and first acute exacerbation of chronic obstructive pulmonary disease in three time periods; construct risk prediction for first acute exacerbation of chronic obstructive pulmonary disease. Retrospective cohort study and cross-sectional survey. Primary care. Patients with incident chronic obstructive pulmonary disease aged > 35 years in England. None. First acute exacerbation of chronic obstructive pulmonary disease. Clinical Practice Research Datalink Aurum; new online survey. Forty thousand five hundred and seventy-seven patients were diagnosed between April 2006 and March 2007 (cohort 1), 48,249 between April 2016 and March 2017 (cohort 2) and 4752 between March and August 2020 (cohort 3). The mean (standard deviation) age was 68.3 years (12.0); 47.3% were female. Around three-quarters were diagnosed in primary care, with a slight fall in cohort 3. Compliance with National Institute for Health and Care Excellence diagnostic guidelines was slightly higher in cohorts 2 and 3 for all patients; 35.8% (10.0% in the year before diagnosis) had all four elements met for all cohorts combined. Multilevel modelling showed considerable between-practice variation in spirometry. The survey on the charity website had 156 responses by chronic obstructive pulmonary disease patients. Many respondents had not heard of the condition, hoped the symptoms would go away and identified various healthcare-related barriers to earlier diagnosis. Clinical Practice Research Datalink analysis showed notable changes in post-diagnosis prescribing from cohort 1 to 2, such as increases in long-acting muscarinic antagonist (21.7-46.3%). Triple therapy rose from 2.9% in cohort 2 to 11.1% in cohort 3. Documented pulmonary rehabilitation rose from just 0.8% in cohort 1 to 13.7% in cohort 2 and 20.9% in cohort 3. For all patients combined, the median time to first acute exacerbation of chronic obstructive pulmonary disease in patients who had one was 1.4 years in cohorts 1 and 2. Acute exacerbation of chronic obstructive pulmonary disease prediction models identified some consistent predictors, such as age, deprivation, severity, comorbidities, post-diagnosis spirometry and annual review. Models without post-diagnosis general practitioner actions had a c-statistic of around 0.70; the highest c-statistic was 0.81, for cohort 2 with post-diagnosis general practitioner actions and 6-month follow-up. All models had good calibration. The three most important predictors in terms of their population attributable risks were being a current smoker and offered smoking cessation advice (32.8%), disease severity (30.6%) and deprivation (15.4%). The highest population attributable risks for variables with adjusted hazard ratios < 1 were chronic obstructive pulmonary disease review (-27.3%) and flu vaccination (-26.6%). Symptom recording and chronic obstructive pulmonary disease diagnosis vary between practice; predicted forced expiratory volume in 1 second had many missing values. There has been some improvement over time in chronic obstructive pulmonary disease diagnosis and management, with large changes in prescribing, though patient and system barriers to further improvement exist. Data available to general practitioners cannot generate risk prediction models with sufficient accuracy. It will be important to expand the COVID-era cohort with longer follow-up and augment general practitioner data for better prediction. This study is registered as Researchregistry.com: researchregistry4762. This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/99/72) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 43. See the NIHR Funding and Awards website for further award information.

Parental socialization and adolescent dating violence victimization

There has been a great deal of research interest on intimate partner violence, but comparatively less research has been focused on adolescent dating victimization. The available research, however, shows that adolescent dating victimization is often a precursor to adulthood intimate partner violence victimization as well as a range of other maladaptive outcomes. The current study sought to examine whether parental socialization was associated with being the victim of adolescent dating violence. To do so, data from the National Longitudinal of Adolescent to Adult Health were analyzed. The results revealed that most of the parenting measures were unrelated to adolescent dating violence victimization, but that measures of self-control and delinquent peers emerged as consistent predictors for both males and females. These findings underscore the complex nature of adolescent dating victimization and highlight the importance of future research addressing this pressing social issue.

Building Blocks of Parent-Child Sex Communication: Body Talk During Infancy and Early Childhood

ABSTRACT The current study investigated how foundational conversations about the body and sexuality begin, how they develop longitudinally, and whether parental body talk varies as a function of characteristics of both the parent and child. Participants included 442 mothers (M age = 32.50, SD = 5.61, 93% heterosexual, 85% White) and 337 available father-figures (M age = 33.99, SD = 5.68, 98% heterosexual, 80% White), who were the parents of infants (age at Time 1 = 28.13 months, SD = 6.85, 52% male). Factor analyses suggested that parents engaged in positive, avoidant, and scolding body talk with their young children, and growth curve analyses suggested that frequency of positive body talk increased from when the child was age two to when they were age four for both mother- and father-figures. Results also suggested that the most consistent predictors of body talk included parents’ perceptions of whether their child was too young to discuss sexuality, and the child’s own questions and behaviors about their bodies and sexuality. The discussion focuses on the frequency of parental body talk and the active role of the child in the early socialization of healthy sexuality.

Natural history of autologous sperm cryostorage.

What is the natural history of elective autologous sperm cryostorage prior to gonadotoxic treatment? We estimate large sample median times to transfer for use, to the man's death or to discard of sperm, and their determinants, as the key operational outcomes of sperm cryostorage. No large sample studies of the natural history of sperm cryostorage prior to gonadotoxic treatment are reported. This observational single-centre study covered 45 years of outcomes with a survival analysis for sperm cryostorage prior to scheduled gonadotoxic treatment, and its determinants. This study included 3923 men (mean age 30 years) who sought sperm cryostorage for a wide range of cancers and other diseases requiring gonadotoxic treatments. The median time to transfer for use (n = 371 men 9%) was 2.4 years (quartiles 1.0, 6.0), the median time to death (n = 553 men, 14%) was 1.7 (0.9, 3.3) years, and the median time to discard (n = 1807 men, 46%) was 7.7 (1.7, 11.1) years. In multivariate Cox model regression, the underlying disease, number of storage visits and follow-up visits, and whether sperm were seen at follow-up visits were consistent predictors of times to outcomes. This study did not investigate sperm cryostorage for reasons other than gonadotoxic treatment, nor the fertilization outcomes of the cryostored sperm. These data provide estimates of the key operational factors for sperm cryostorage programs, prior to potentially sterilizing gonadotoxic treatments, and free from financial or insurance restrictions. There was no specific funding for this study. D.J.H. has provided expert witness testimony to antidoping and professional standards tribunals and is supported by an NHMRC Investigator Grant. The other authors have no disclosures. N/A.

Factors Influence Breastfeeding Duration after High Risk and Low Risk Pregnancies.

Breastfeeding provides vital nutrients and fosters maternal-infant bonding, benefiting both mother and child. However, breastfeeding duration is influenced by various factors, especially in women of high-risk pregnancy. This study aims to identify predictors of breastfeeding duration among women of high-risk and low-risk pregnancy, focusing on exclusive and mixed feeding practices. Conducted at a public hospital in Attica, Greece, this 20-month prospective cohort study (May 2020-January 2022) included 380 pregnant women, divided into high-risk and low-risk groups. The final sample of 157 women, after excluding non-breastfeeding participants, was assessed across five phases from prenatal to six months postpartum using interviews, calls, and surveys. Multiple linear regression identified key predictors, with statistical methods applied. Results revealed birth weight as a consistent significant predictor of breastfeeding duration. For women with high-risk pregnancy, additional factors like infant gender, jaundice, and early introduction of solid foods influenced breastfeeding duration. The mixed breastfeeding model for women with high-risk pregnancy explained 72.9% of the variance. Exclusive and mixed breastfeeding models for women with low-risk pregnancy also highlighted birth weight's influence. The findings highlight the important role of birth weight and other specific factors in determining breastfeeding duration among women of high-risk and low-risk pregnancy. Further research is needed to validate these findings across diverse populations.

Study of soil heterotrophic respiration as a function of soil moisture under different land covers

The relationship between soil heterotrophic respiration (Rh) and soil moisture has been often studied using disturbed soil samples and simple gravimetric and volumetric soil moisture indicators. The objective of this study was to investigate the relationship between Rh and soil moisture in terms of water-filled porosity (WFP), matric potential (Ψm), and relative soil gas diffusivity (Dp/Do) using undisturbed soil cores obtained under different land covers. Soil CO2 efflux, WFP, and Ψm were measured in undisturbed soil samples (250 cm3) collected in the 0–5 cm soil layer (without any vegetation or living roots) under laboratory conditions by combining a CO2 gas analyzer, a scale, and precision mini-tensiometers. For each site and land cover, we also measured soil chemical properties, soil physical properties, and soil microbial composition using phospholipid fatty acid analysis. Grassland soils had the largest total microbial biomass (6275 ng g−1), followed by soils from riparian (5327 ng g−1), and cropland (2745 ng g−1) sites. Bacteria were the dominant group representing 46% (SD = 5%) of the total microbial biomass across all sites and land covers. Maximum Rh was 1.88 (SD = 0.40) μmol CO2 m−2 s−1 in grassland, 1.64 (SD = 0.82) μmol CO2 m−2 s−1 in riparian, and 0.94 (SD = 0.56) μmol CO2 m−2 s−1 in cropland soils. Considering all land cover and soil types, our observations revealed that peak Rh occurred at mean WFP = 0.81 ,Ψm = −6 kPa, and Dp/Do = 0.003. Thus, we recommend avoiding the traditional field capacity definition of −33 kPa for representing peak microbial activity. Water-filled porosity was a more consistent predictor of Rh than Ψm or Dp/Do across soils with contrasting organic matter content, total microbial biomass, soil texture, and soil structure.

A - 55 Exploring the Impact of Parental Substance Use Problems and Behavior on Pre-Adolescent Cognitive Performance

Abstract Objective Adults with a parental history of substance use problems (PH+) exhibit deficits in verbal, language, visuomotor, visuospatial, and executive functioning skills. However, findings on whether PH+ affects cognition developmentally is limited. This study explored how PH+ relates to preadolescents’ cognitive performance while controlling for environmental parental factors. Methods We sampled 11,633 participants aged 8–11 (47.74% female) from the Adolescent Brain Cognitive Development Study at baseline. The Family History Assessment evaluated PH+ of alcohol and other drug use problems, with scores ranging from 0–2 parents with problematic use (PH-, PH + 1, PH + 2). PH+ of alcohol (PHA+) and other drugs (PHD+) were assessed separately. The neurocognitive battery included the NIH Toolbox, RAVLT, and Matrix Reasoning. Parental factors assessed included prenatal substance exposure, family conflict, parental warmth, parental monitoring, and parental mental health history. Hierarchical linear mixed-effects models analyzed relationships between PHA+, PHD+, other parental variables of interest, and cognitive outcomes while controlling for demographics. Results PHA+ significantly predicted inhibitory control performance, with PHA + 1 youth performing better than PHA- youth (β = 0.71, p = 0.04), above and beyond other parental behaviors. Conversely, PHD + 1 youth scored lower on immediate (β = −0.3107, p = 0.02) and delayed (β = −3.58, p = 0.01) verbal memory recall, as well as visuospatial memory (β = −1.50, p = 0.003) compared to PHD- youth. Parental factors broadly predicted performance, with parental monitoring and prenatal exposure emerging as the most consistent predictors. Conclusion These findings underscore the complex relationship between PH+, environmental parental factors, and cognition among preadolescents. Future work should explore mechanisms linking parental behaviors to adolescent cognition, given these modifiable factors offer potential for intervention.