Multiplicative Interaction Term Research Articles

Genetic associations with consumption of palatable foods in the absence of hunger in response to food cues in children.

The objective of this study is to evaluate obesity-related genetic factors in relation to excess consumption and assess if food cues modify associations. Children (9-12 years) completed a randomized crossover experiment. During two visits, children ate a preload and then snacks ad libitum while watching television, embedded with food or non-food advertisements to assess eating in the absence of hunger (EAH). Primary exposures were obesity-associated genotypes, FTO rs9939609 and MC4R rs571312, and a paediatric-specific polygenic risk score (PRS). Outcomes included consumption of all snacks (total EAH) and gummy candy only (gummy candy EAH). Linear mixed-effects models tested whether genetic exposures related to EAH outcomes. We tested for effect modification by food cues using multiplicative interaction terms. Among 177 children, each FTO risk allele was associated with a 30% increase in gummy candy EAH (p = 0.025) in adjusted models. Food cue exposure exacerbated associations between the FTO variant with gummy candy EAH (p = 0.046). No statistically significant associations were found between MC4R and EAH. The results suggest children with the FTO rs9939609 risk allele may be predisposed to excess consumption of candy and that this association may be exacerbated by food cues.

Maternal emotional availability and perinatal depressive symptoms as predictors of early childhood executive function

BackgroundThe interconnected effects of maternal perinatal depression and the early mother-infant relational quality on children's executive function development are crucial yet understudied. This study addresses this gap, focusing on how perinatal depressive symptoms and emotional availability at 6 months predict child executive function performance at age four, with an emphasis on the moderating role of emotional availability. MethodThis study included 282 mother-infant pairs recruited from the Mercy Pregnancy and Emotional Wellbeing Study, utilising repeated Edinburgh Postnatal Depression Scale measurement over the perinatal period, Emotional Availability Scales, and child executive function assessments (Shape School, NEPSY-II, Preschool Age Psychiatric Assessment, Attention Deficit Hyperactivity scale, inattentive subscale). Latent growth curve analysis incorporated controls for socioeconomic status and maternal cognitive abilities, and moderation effects were examined through multiplicative interaction terms. ResultsWe found that emotional availability influences children's executive function, specifically switching, motor inhibition, and inattentive symptoms, irrespective of maternal depressive symptom changes. This effect is further nuanced by emotional availability's moderating role in the association between depressive symptom change and switching. LimitationsThe study's limitations include a relatively small sample size for moderation analysis and the exclusion of paternal influences. ConclusionThis study is a significant step in understanding the profound influence of maternal emotional availability in infancy on child executive function development, offering new avenues for research and, if replicated, a foundation for innovative intervention approaches.

Oil rents and environmental sustainability: Do green technologies and environmental technological innovation matter?

Sustaining the environment is essential for Saudi Arabia, especially given the country’s high dependence on oil rents. While these rents have historically fueled economic growth, they have also contributed significantly to environmental degradation. Sustainable resource use and a transition from conventional to renewable energy sources are essential for achieving carbon neutrality and keeping the upsurge in global temperature below 2°C. In addition, sustainable practices help to preserve ecosystems, biodiversity, and natural resources, which are essential for the survival of all living organisms. Consequently, this study fills a significant empirical gap by investigating the moderating effects of technological innovation, environmental innovation, and green energy technologies in the oil rents and environmental sustainability nexus in Saudi Arabia from 1990 to 2022. Although there are significant direct associations between oil rents and environmental sustainability, the existing literature has not investigated empirical research on the moderating effects of technological innovation, environmental innovation, and green energy technologies in the oil rents and environmental sustainability nexus. To do this, the study implements the model of dynamic AutoRegressive Distributed Lag (ARDL) simulations. The results indicate that rising oil rents, economic growth, trade, and urbanization in Saudi Arabia worsen environmental sustainability while increasing green energy technologies, technological innovation, and environmental innovation enhances environmental sustainability. Interestingly, the findings of the moderating effects of technological innovation, environmental innovation, and green energy technologies in the oil rents and environmental sustainability nexus show that the predicted coefficients of the multiplicative interaction terms are both positive and statistically significant. This demonstrates that these technologies play crucial roles in mitigating the negative effects of oil rents on environmental sustainability in Saudi Arabia. Based on the outcomes, promoting technological innovation, prioritizing investments in green sources and reducing dependence on natural resource extraction are key policy recommendations that can significantly bolster environmental sustainability in Saudi Arabia.

Structural Racism and Treatment Delay Among Black and White Patients With Breast Cancer.

Structural racism (SR) is a potential driver of health disparities, but research quantifying its impacts on cancer outcomes has been limited. We aimed to develop a multidimensional county-level SR measure and to examine the association of SR with breast cancer (BC) treatment delays among Black and White patients. The cohort included 32,095 individuals from the North Carolina Central Cancer Registry with stage I to III BC diagnosed between 2004 and 2017 and linked to multipayer insurance claims from the Cancer Information and Population Health Resource. County-level data were drawn from multiple public sources aggregated in the Robert Wood Johnson County Health Rankings database. Racial gaps in eight social determinants across five domains were quantified at the county level and ranked on a 0-100 minimum-maximum scale. Domain scores were averaged to create a SR Composite Index (SRCI) score. We used multilevel logistic regression with random intercepts and multiple cross-level interaction terms to evaluate the association between county-level SRCI and patient-level treatment delays, adjusting for patient-level characteristics and stratified by race. The SRCI score ranged from 21 to 75 with a median (IQR) of 39.0 (31.8, 45.7). For Black patients, a 10-unit increase in SRCI score was associated with increased odds of delay (Adjusted odds ratios [aOR], 1.25; 95% confidence limits [CL], 1.08 to 1.45). No such association was found for White patients (OR, 1.05; 95% CL, 0.97 to 1.15). Area-level SR measured by a composite index is associated with higher odds of BC treatment delays among Black, but not White patients. Increasing county-level SR is associated with increasing Black-White disparities in treatment delay. Further research is needed to refine the measurement of SR and to examine its association with other cancer care disparities.

Association of per- and polyfluoroalkyl substances with the antioxidant bilirubin across pregnancy

BackgroundIn mechanistic and preliminary human studies, prenatal exposure to per- and polyfluoroalkyl substances (PFAS) is associated with oxidative stress, a potential contributor to maternal liver disease. Bilirubin is an endogenous antioxidant abundant in the liver that may serve as a physiological modulator of oxidative stress in pregnant people. Hence, our objective was to estimate the association between repeated measures of PFAS and bilirubin during pregnancy. MethodsThe study population included 332 participants in the Atlanta African American Maternal-Child Cohort between 2014 and 2020. Serum samples were collected up to two times (early pregnancy: 6–18 gestational weeks; late pregnancy: 21–36 gestational weeks) for the measurement of perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and total bilirubin. We analyzed single PFAS with linear mixed effect regression and a mixture of the four PFAS with quantile g-computation. Models were repeated with a multiplicative interaction term to explore effect modification by study visit. ResultsOverall, PFHxS was positively associated with bilirubin (β = 0.08, 95 % CI = 0.01, 0.15). We also found during late pregnancy, there was a positive association of PFHxS and the PFAS mixture with bilirubin (β = 0.12, 95 % CI = 0.02, 0.22; ψ = 0.19, 95 % CI = 0.03, 0.34, respectively). Finally, study visit modified the PFOA-bilirubin association (interaction p-value = 0.09), which was greater during early pregnancy (β = 0.08, 95 % CI = 0.01, 0.15). ConclusionIn a prospective cohort of pregnant African Americans, an increase in PFOA, PFHxS, and the PFAS mixture was associated with an increase in bilirubin. Our results suggest that, depending on pregnancy stage, prenatal PFAS exposure disrupts the maternal liver antioxidant capacity.

Outcomes According to Coronary Disease Complexity and Optimal Thresholds to Guide Revascularization Approach: FAME 3 Trial

BackgroundCoronary disease complexity is commonly used to guide revascularization strategy in patients with multivessel disease (MVD). ObjectivesThe aim of this study was to assess the interactive effects of coronary complexity on percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) outcomes and identify the optimal threshold at which PCI can be considered a reasonable option. MethodsA total of 1,444 of 1,500 patients with MVD from the FAME (Fractional Flow Reserve versus Angiography for Multi-vessel Evaluation) 3 randomized trial were included in the analysis (710 CABG vs 734 PCI). SYNTAX (Synergy Between PCI With Taxus and Cardiac Surgery) scores were transformed into restricted cubic splines, and logistic regression models were fitted, with multiplicative interaction terms for revascularization strategy. Optimal thresholds at which PCI is a reasonable alternative to CABG were determined on the basis of Cox regression model performance. ResultsThe mean SYNTAX score (SS) was 25.9 ± 7.1. SS was associated with 1-year major adverse cardiac and cerebrovascular events among PCI patients and 3-year death, myocardial infarction, and stroke among CABG patients. Significant interactions were present between revascularization strategy and SS for 1- and 3-year composite endpoints (P for interaction <0.05 for all). In Cox regression models, outcomes were comparable between CABG and PCI for the 3-year primary endpoint for SS ≤24 (P = 0.332), with 44% of patients below this threshold and 32% below the conventional SS threshold of ≤22. ConclusionsIn patients with MVD without left main disease, PCI and CABG outcomes remain comparable up to SS values in the mid- rather than low 20s, which allows the identification of a greater proportion of patients in whom PCI may be a reasonable alternative to CABG.

COVID-19 Breakthrough Infection after Vaccination and Substance Use Disorders: A Longitudinal Cohort of People with and without HIV Receiving Care in the United States Veterans Health Administration.

Research regarding HIV, substance use disorders (SUD), and SARS-CoV-2 infections after COVID-19 vaccination is limited. In the Veterans Aging Cohort Study (VACS)-HIV cohort, we followed vaccinated persons with HIV (PWH) and without HIV (PWoH) from 12/2020 to 3/2022 and linked SARS-CoV-2 test results for laboratory-confirmed breakthrough infection through 9/2022. We examined associations of substance use (alcohol use disorder [AUD], other SUD, smoking status) and HIV status and severity with breakthrough infections, using Cox proportional hazards regression hazard ratios (HR). To test for potential interactions between substance use and HIV, we fit survival models with a multiplicative interaction term. Among 24,253 PWH and 53,661 PWoH, 8.0% of PWH and 7.1% of PWoH experienced COVID-19 breakthrough. AUD (HR 1.42, 95% CI 1.32, 1.52) and other SUD (HR 1.49, 95% CI 1.39, 1.59) were associated with increased risk of breakthrough, and this was similar by HIV status (p-interaction > 0.09). Smoking was not associated with breakthrough. Compared to PWoH, PWH at all HIV severity levels had increased risk of breakthrough ranging from 9% for PWH with CD4 count ≥ 500 cells/µl (HR 1.09, 95% CI 1.02, 1.17) to 59% for PWH with CD4 count < 200 (HR 1.59, 95% CI 1.31, 1.92). Patients with AUD (HR 1.42, 95% CI 1.33, 1.52) and other SUD (HR 1.48, 95% CI 1.38, 1.59) had increased COVID-19 breakthrough risk, regardless of HIV status. HIV was associated with breakthrough; risk was greatest among PWH with lower CD4 count. In addition to inhibiting HIV treatment adherence and increasing HIV progression, AUD and other SUD may increase COVID-19 breakthrough risk.

Cox proportional hazards regression in small studies of predictive biomarkers

Predictive biomarkers are essential for personalized medicine since they select the best treatment for a specific patient. However, of all biomarkers that are evaluated, only few are eventually used in clinical practice. Many promising biomarkers may be erroneously abandoned because they are investigated in small studies using standard statistical techniques which can cause small sample bias or lack of power. The standard technique for failure time endpoints is Cox proportional hazards regression with a multiplicative interaction term between binary variables of biomarker and treatment. Properties of this model in small studies have not been evaluated so far, therefore we performed a simulation study to understand its small sample behavior. As a remedy, we applied a Firth correction to the score function of the Cox model and obtained confidence intervals (CI) using a profile likelihood (PL) approach. These methods are generally recommended for small studies of different design. Our results show that a Cox model estimates the biomarker-treatment interaction term and the treatment effect in one of the biomarker subgroups with bias, and overestimates their standard errors. Bias is however reduced and power is increased with Firth correction and PL CIs. Hence, the modified Cox model and PL CI should be used instead of a standard Cox model with Wald based CI in small studies of predictive biomarkers.

Identifying drivers of non-stationary climate-growth relationships of European beech

The future performance of the widely abundant European beech (Fagus sylvatica L.) across its ecological amplitude is uncertain. Although beech is considered drought-sensitive and thus negatively affected by drought events, scientific evidence indicating increasing drought vulnerability under climate change on a cross-regional scale remains elusive. While evaluating changes in climate sensitivity of secondary growth offers a promising avenue, studies from productive, closed-canopy forests suffer from knowledge gaps, especially regarding the natural variability of climate sensitivity and how it relates to radial growth as an indicator of tree vitality. Since beech is sensitive to drought, we in this study use a drought index as a climate variable to account for the combined effects of temperature and water availability and explore how the drought sensitivity of secondary growth varies temporally in dependence on growth variability, growth trends, and climatic water availability across the species' ecological amplitude.Our results show that drought sensitivity is highly variable and non-stationary, though consistently higher at dry sites compared to moist sites. Increasing drought sensitivity can largely be explained by increasing climatic aridity, especially as it is exacerbated by climate change and trees' rank progression within forest communities, as (co-)dominant trees are more sensitive to extra-canopy climatic conditions than trees embedded in understories. However, during the driest periods of the 20th century, growth showed clear signs of being decoupled from climate. This may indicate fundamental changes in system behavior and be early-warning signals of decreasing drought tolerance. The multiple significant interaction terms in our model elucidate the complexity of European beech's drought sensitivity, which needs to be taken into consideration when assessing this species' response to climate change.

Multiple job holding, working hours, and hypertension by race/ethnicity and sex.

The number of Americans with multiple jobs is increasing and multiple jobholders work more hours per week. However, the associations between multiple jobholding and hypertension are unknown. The aim of this study was to examine the associations of multiple jobholding with hypertension and determine whether weekly working hours moderated this association. Data from the 2015 National Health Interview Survey on adults (age ≥18 years) were used and included participants who self-identified as non-Hispanic Asian, non-Hispanic Black, Hispanic, or non-Hispanic White in the U.S. (n = 16,926), The associations of multiple jobholding with self-reported hypertension by sex were assessed using modified Poisson regressions. Both the number of working hours per week and race/ethnicity were assessed as moderators using multiplicative interaction terms. Multiple jobholding was not associated with hypertension among women. However, there was a significant three-way interaction such that multiple jobholding was associated with hypertension among non-Hispanic Black men who worked ≥55 hours per week (relative risk = 1.02, 95% confidence interval = 1.01-1.05). The results suggest that the associations between multiple jobholding, number of working hours, and hypertension should be examined at the intersection of race/ethnicity and sex. Future studies should further characterize multiple jobholding and hypertension among non-Hispanic Black men.

Race/Ethnicity and Sex as Moderators of the Associations of Working Hours, Income, and Education with Fast-food Consumption in the US

Objectives: Fast-food consumption is highly prevalent but varies across socioeconomic status. Yet, it is possible that race/ethnicity and sex could moderate these associations. The aim of this study was to determine how race/ ethnicity and sex interact with working hours and socioeconomic status measures on fast-food consumption. Methods: Using a cross-sectional study of the 2007-2018 National Health and Nutrition Examination Survey, the number of fast-food meals per week was the dependent variable and weekly hours worked, household income, and educational attainment were the independent variables. We used negative binomial regressions and multiplicative interaction terms. Results: Household income was positively associated with fast-food consumption and there was also variation by educational attainment. Race/ethnicity and sex moderated the associations between educational attainment and fast-food consumption such that non-Hispanic white women and men who were college graduates consumed fewer fast-food meals per week than those who had not completed high school. This pattern was not observed in other groups. Conclusion: Policy and public health programs that target fast-food consumption should consider the intersections of race/ethnicity and sex.

Learning epistatic polygenic phenotypes with Boolean interactions.

Detecting epistatic drivers of human phenotypes is a considerable challenge. Traditional approaches use regression to sequentially test multiplicative interaction terms involving pairs of genetic variants. For higher-order interactions and genome-wide large-scale data, this strategy is computationally intractable. Moreover, multiplicative terms used in regression modeling may not capture the form of biological interactions. Building on the Predictability, Computability, Stability (PCS) framework, we introduce the epiTree pipeline to extract higher-order interactions from genomic data using tree-based models. The epiTree pipeline first selects a set of variants derived from tissue-specific estimates of gene expression. Next, it uses iterative random forests (iRF) to search training data for candidate Boolean interactions (pairwise and higher-order). We derive significance tests for interactions, based on a stabilized likelihood ratio test, by simulating Boolean tree-structured null (no epistasis) and alternative (epistasis) distributions on hold-out test data. Finally, our pipeline computes PCS epistasis p-values that probabilisticly quantify improvement in prediction accuracy via bootstrap sampling on the test set. We validate the epiTree pipeline in two case studies using data from the UK Biobank: predicting red hair and multiple sclerosis (MS). In the case of predicting red hair, epiTree recovers known epistatic interactions surrounding MC1R and novel interactions, representing non-linearities not captured by logistic regression models. In the case of predicting MS, a more complex phenotype than red hair, epiTree rankings prioritize novel interactions surrounding HLA-DRB1, a variant previously associated with MS in several populations. Taken together, these results highlight the potential for epiTree rankings to help reduce the design space for follow up experiments.

Association between dyslipidemia and the risk of incident chronic kidney disease affected by genetic susceptibility: Polygenic risk score analysis.

The effect of dyslipidemia on kidney disease outcomes has been inconclusive, and it requires further clarification. Therefore, we aimed to investigate the effects of genetic factors on the association between dyslipidemia and the risk of chronic kidney disease (CKD) using polygenic risk score (PRS). We analyzed data from 373,523 participants from the UK Biobank aged 40-69 years with no history of CKD. Baseline data included plasma levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride, as well as genome-wide genotype data for PRS. Our primary outcome, incident CKD, was defined as a composite of estimated glomerular filtration rate < 60 ml/min/1.73 m2 and CKD diagnosis according to International Classification of Disease-10 codes. The effects of the association between lipid levels and PRS on incident CKD were assessed using the Cox proportional hazards model. To investigate the effect of this association, we introduced multiplicative interaction terms into a multivariate analysis model and performed subgroup analysis stratified by PRS tertiles. In total, 4,424 participants developed CKD. In the multivariable analysis, PRS was significantly predictive of the risk of incident CKD as both a continuous variable and a categorized variable. In addition, lower total cholesterol, LDL-C, HDL-C, and higher triglyceride levels were significantly associated with the risk of incident CKD. There were interactions between triglycerides and intermediate and high PRS, and the interactions were inversely associated with the risk of incident CKD. This study showed that PRS presented significant predictive power for incident CKD and individuals in the low-PRS group had a higher risk of triglyceride-related incident CKD.

Do Religion and Spirituality Buffer the Effect of Childhood Trauma on Depressive Symptoms? Examination of a South Asian Cohort from the USA.

Asian Americans have been identified as a racial group that is disproportionately affected by childhood trauma. The goal of this study was to assess if religion/spirituality moderate the effects of childhood trauma on adult depressive symptoms among a sample of South Asians in the USA. Our analysis drew from the study on stress, spirituality, and health (SSSH) questionnaire fielded in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study (n = 990) during 2016-2018. A series of regression models with multiplicative interaction terms were conducted. Emotional neglect, emotional abuse, and physical neglect were associated with higher depressive symptoms. Higher religious attendance and negative religious coping techniques were found to exacerbate this relationship. There were two findings conditional on gender. Among men, gratitude and positive religious coping also exacerbated the relationship between childhood trauma and depressive symptoms. Negative religious coping also exacerbated the association between childhood trauma and depressive symptoms for women. This is the first community-based study of US South Asians to consider the association between various forms of childhood trauma and depressive symptom outcomes. South Asians remain an understudied group in the religion and health literature, and this study sheds light on the important differences in the function and effectiveness of religion/spirituality for those faced with early life trauma.

Abstract 6143: Association of polygenic risk score and prostate tumor biomarkers with lethal prostate cancer

Abstract Prostate cancer (PCa) is a highly heritable cancer. While polygenic risk scores (PRS) stratify overall PCa risk among cancer-free men, they have not been reported to predict lethal outcomes in PCa patients. We aimed to examine to what extent PRS modifies associations between tumor biomarkers with cancer prognosis after diagnosis. We included men with primary, non-metastatic PCa in the Health Professionals Follow-up Study (HPFS) and Physicians’ Health Study (PHS). The PRS was constructed with 451 risk variants identified from prior PCa GWAS, measured on DNA from blood or buccal, standardized by adjusting for mean and standard deviation (SD) based on men without PCa with array-based genotyping data in HPFS/PHS. Prostate tumor biomarkers of molecular subtypes (TMPRSS2:ERG fusion, PTEN loss, and TP53 missense mutations from validated immunohistochemistry assays), insulin/lipid signaling pathways (FASN, IR, and IGF1-R), and cellular proliferation and tumor microenvironment (Ki-67, apoptosis rates, and angiogenesis) were measured on tumor tissue from radical prostatectomy or TURMP. Sample sizes varied by tumor biomarkers, ranging from 214 for angiogenesis markers to 598 for ERG protein expression. We first used either logistic or negative binomial regression to evaluate the association between the PRS and the protein expression (levels) of each individual biomarker, and then evaluated the addition of multiplicative interaction terms between PRS and biomarkers to logistic regression models for lethal PCa, defined as metastases or death from PCa. Lastly, we evaluated the predictive performance for lethal PCa by area under the curve (AUC). All models adjusted for age at diagnosis and Gleason score. Among all patients included in the analysis, the median age at diagnosis was 66 (interquartile range: 62-70) years, with 20% having a Gleason score≥8 and 10% having lethal PCa. PRS showed no association with lethal PCa (OR per SD increase PRS=0.95, 95%CI 0.85-1.06) or most tumor biomarkers, except for the apoptosis index (per SD in PRS corresponding to 0.22 units increase, 95%CI 0.02-0.42). Statistically significant interactions were found between PRS and p53 overexpression (p interaction = 1.6x10-5), PTEN loss (p=3.7x10-3), FASN (p=0.03), and Ki-67 (p=1.6x10-3), suggesting that compared to men with a PRS higher than the median, TP53 missense mutation, PTEN loss, higher FASN intensity, and higher Ki-67 indices were more strongly associated with lethal PCa in patients with lower PRS. Incorporating PRS with tumor biomarkers into predictive models enhanced the AUC beyond a model with tumor biomarker and age. The largest improvements were observed when combining the PRS with Ki-67 and apoptosis, showing absolute increases of 5% and 7% respectively. In conclusion, PRS integration with tumor biomarkers at diagnosis potentially improves the prediction of lethal PCa, thereby informing more targeted management strategies. Citation Format: Anqi Wang, Anna Plym, Konrad H. Stopsack, Lorelei A. Mucci, Kathryn L. Penney. Association of polygenic risk score and prostate tumor biomarkers with lethal prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6143.

Predictors of street tree survival in Philadelphia: Tree traits, biophysical environment, and socioeconomic context

Street trees are highly visible components of the urban forest, providing ecosystem services to city residents, but tree mortality can result in a loss of these essential benefits. Here, we focus on how street tree survival in Philadelphia, Pennsylvania (US) has been influenced by 1) tree traits and attributes, 2) the local biophysical environment, and 3) socioeconomic context. We used a longitudinal monitoring approach with a 6-year time interval and 103 randomly-located, fixed-length permanent plots, containing a range of tree size classes, to assess street tree survival rates, predictors of survival, and the balance of tree losses and gains. Street trees surveyed in this study experienced an annual mortality rate of 3.68% and followed a Type III mortality curve, with the highest annual mortality rates in the smallest size class. On the surveyed plots, there was a net decrease of live trees over the study period (2657 to 2542; 4.33% decline). Multivariate logistic regression revealed significant associations between street tree survival and tree crown vigor, species traits (expected mature stature and drought tolerance), site type, land use type, % impervious surface in a 15 m buffer, parcel-level demolition events, % of residents in poverty, % unoccupied households, and % renter-occupied households. Additionally, the final model included a multiplicative interaction term between crown vigor and tree size with separation in pattern of small (DBH < 7.6 cm) from larger (DBH ≥ 7.6 cm) trees. Our findings suggest that targeted management interventions may enhance overall street tree survival, such as focusing on small trees, as well as trees in sidewalk cut-outs, commercial or industrial areas, or near demolition activity. Longitudinal monitoring studies such as ours provide valuable information about how urban forest systems change over time, with assessments that are valuable for management by municipal foresters and other street tree stewards.

Prenatal polycyclic aromatic hydrocarbon exposure and asthma at age 8–9 years in a multi-site longitudinal study

Background and aimStudies suggest prenatal exposure to polycyclic aromatic hydrocarbons (PAHs) may influence wheezing or asthma in preschool-aged children. However, the impact of prenatal PAH exposure on asthma and wheeze in middle childhood remain unclear. We investigated these associations in socio-demographically diverse participants from the ECHO PATHWAYS multi-cohort consortium.MethodsWe included 1,081 birth parent–child dyads across five U.S. cities. Maternal urinary mono-hydroxylated PAH metabolite concentrations (OH-PAH) were measured during mid-pregnancy. Asthma at age 8–9 years and wheezing trajectory across childhood were characterized by caregiver reported asthma diagnosis and asthma/wheeze symptoms. We used logistic and multinomial regression to estimate odds ratios of asthma and childhood wheezing trajectories associated with five individual OH-PAHs, adjusting for urine specific gravity, various maternal and child characteristics, study site, prenatal and postnatal smoke exposure, and birth year and season in single metabolite and mutually adjusted models. We used multiplicative interaction terms to evaluate effect modification by child sex and explored OH-PAH mixture effects through Weighted Quantile Sum regression.ResultsThe prevalence of asthma in the study population was 10%. We found limited evidence of adverse associations between pregnancy OH-PAH concentrations and asthma or wheezing trajectories. We observed adverse associations between 1/9-hydroxyphenanthrene and asthma and persistent wheeze among girls, and evidence of inverse associations with asthma for 1-hydroxynathpthalene, which was stronger among boys, though tests for effect modification by child sex were not statistically significant.ConclusionsIn a large, multi-site cohort, we did not find strong evidence of an association between prenatal exposure to PAHs and child asthma at age 8–9 years, though some adverse associations were observed among girls.

Association of Zinc Intake, Tobacco Smoke Exposure, With Metabolic Syndrome: Evidence from NHANES 2007-2018.

The objective was to explore the effect modification of zinc (Zn) intake levels on the relationship of tobacco smoke exposure and risk of metabolic syndrome (MetS) in children and adolescents. We used data from 2007-2018 National Health and Nutrition Examination Survey (N = 3701). MetS was considered as main endpoint. Weighted multivariable logistic regression models showed that high cotinine level (≥ 0.05ng/mL) was associated with increased odds of MetS [odds ratio = 1.54, 95% confidence interval: 1.01, 2.36], and the association between Zn intake levels and MetS did not demonstrate statistical significance. Importantly, the multiplicative interaction term between low Zn intake (≤ 4.89mg/1000kcal) and high cotinine level was related to higher odds of MetS (p-value for interaction 0.018). For the group with low Zn intake, high cotinine level was associated with increased odds of MetS. However, there was no significant relationship between cotinine levels and MetS risk in the group with high Zn intake. The effect modification by Zn intake on the relationship of tobacco smoke exposure and risk of MetS is significant in individuals who had a sedentary time of ≥ 6h, identified as non-Hispanic White, or resided in households with smokers. In short, low Zn intake may potentiate the association of tobacco smoke exposure and MetS risk in children and adolescents.

Associations of residential green space with internalizing and externalizing behavior in early childhood

BackgroundGreen space exposures may promote child mental health and well-being across multiple domains and stages of development. The aim of this study was to investigate associations between residential green space exposures and child mental and behavioral health at age 4–6 years.MethodsChildren’s internalizing and externalizing behaviors in the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) cohort in Shelby County, Tennessee, were parent-reported on the Child Behavior Checklist (CBCL). We examined three exposures—residential surrounding greenness calculated as the Normalized Difference Vegetation Index (NDVI), tree cover, and park proximity—averaged across the residential history for the year prior to outcome assessment. Linear regression models were adjusted for individual, household, and neighborhood-level confounders across multiple domains. Effect modification by neighborhood socioeconomic conditions was explored using multiplicative interaction terms.ResultsChildren were on average 4.2 years (range 3.8-6.0) at outcome assessment. Among CANDLE mothers, 65% self-identified as Black, 29% as White, and 6% as another or multiple races; 41% had at least a college degree. Higher residential surrounding greenness was associated with lower internalizing behavior scores (-0.66 per 0.1 unit higher NDVI; 95% CI: -1.26, -0.07) in fully-adjusted models. The association between tree cover and internalizing behavior was in the hypothesized direction but confidence intervals included the null (-0.29 per 10% higher tree cover; 95% CI: -0.62, 0.04). No associations were observed between park proximity and internalizing behavior. We did not find any associations with externalizing behaviors or the attention problems subscale. Estimates were larger in neighborhoods with lower socioeconomic opportunity, but interaction terms were not statistically significant.ConclusionsOur findings add to the accumulating evidence of the importance of residential green space for the prevention of internalizing problems among young children. This research suggests the prioritization of urban green spaces as a resource for child mental health.

Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (DL-WML) might help safely guide IVT administration. We aimed to develop, validate, and evaluate a DL-WML volume on CT compared to the Fazekas scale (WML-Faz) as a risk factor and IVT effect modifier in patients receiving EVT directly after IVT. We developed a deep-learning model for WML segmentation on CT and validated with internal and external test sets. In a post hoc analysis of the MR CLEAN No-IV trial, we associated DL-WML volume and WML-Faz with symptomatic-intracerebral hemorrhage (sICH) and 90-day functional outcome according to the modified Rankin Scale (mRS). We used multiplicative interaction terms between WML measures and IVT administration to evaluate IVT treatment effect modification. Regression models were used to report unadjusted and adjusted common odds ratios (cOR/acOR). In total, 516 patients from the MR CLEAN No-IV trial (male/female, 291/225; age median, 71 [IQR, 62-79]) were analyzed. Both DL-WML volume and WML-Faz are associated with sICH (DL-WML volume acOR, 1.78 [95%CI, 1.17; 2.70]; WML-Faz acOR, 1.53 95%CI [1.02; 2.31]) and mRS (DL-WML volume acOR, 0.70 [95%CI, 0.55; 0.87], WML-Faz acOR, 0.73 [95%CI 0.60; 0.88]). Only in the unadjusted IVT effect modification analysis WML-Faz was associated with more sICH if IVT was given (p= 0.046). Neither WML measure was associated with worse mRS if IVT was given. DL-WML volume and WML-Faz had a similar relationship with functional outcome and sICH. Although more sICH might occur in patients with more severe WML-Faz receiving IVT, no worse functional outcome was observed. White matter lesion severity on baseline CT in acute ischemic stroke patients has a similar predictive value if measured with deep learning or the Fazekas scale. Safe administration of intravenous thrombolysis using white matter lesion severity should be further studied. White matter damage is a predisposing risk factor for intracranial hemorrhage in patients with acute ischemic stroke but remains difficult to measure on CT. White matter lesion volume on CT measured with deep learning had a similar association with symptomatic intracerebral hemorrhages and worse functional outcome as the Fazekas scale. A patient-level meta-analysis is required to study the benefit of white matter lesion severity-based selection for intravenous thrombolysis before endovascular treatment.