Trajectories of Hyperactivity and Inattention Symptom Scores in Boys of Low Socioeconomic Status: An Assessment of Risk Factors and Cigarette Smoking Behaviors in Late Adolescence and Young Adulthood

Attention-deficit hyperactivity disorder (ADHD), once considered a childhood-limited neuropsychiatric condition, is now recognized as often persisting into adolescence and beyond. Recent studies of ADHD and its symptom domains--hyperactivity and inattention--indicate that symptoms can wax and wane over time and follow discrete trajectories characterized by different symptom levels and shapes. However, little is known about symptom trajectories in high-risk groups, such as boys from low socioeconomic backgrounds. Childhood ADHD is associated with cigarette smoking in adolescence, but whether the risk is specific to hyperactivity or inattention or their respective symptom trajectories is not clear. The aims of my dissertation research were to identify trajectories of hyperactivity and inattention symptom scores in a sample of boys from low socioeconomic backgrounds and to assess the associations of those trajectories with cigarette smoking outcomes in late adolescence and young adulthood. In pursuit of those aims, I first conducted a narrative literature review to assess current evidence regarding the persistence of childhood ADHD, hyperactivity and inattention into adolescence, and the associations of persistent ADHD and its symptom domains with the risks of cigarette smoking and nicotine abuse and dependence in adolescence and early adulthood. Data on boys of low socioeconomic status, where available, were summarized. Evidence suggests that nearly 50% of individuals with childhood ADHD or its symptom domains continue to have symptoms in adulthood. Hyperactivity symptom trajectories are likely to decline over time, whereas inattention symptom trajectories are more stable. The sparse literature on the association between ADHD, hyperactivity, and inattention symptom persistence and high symptom score trajectories and smoking outcomes suggests that high inattention symptom score trajectories are associated with earlier onset and higher risk of nicotine abuse or dependence in early adulthood than lower trajectories. Evidence on hyperactivity symptom score trajectories and similar smoking outcomes is inconclusive. Literature on symptom trajectories in low socioeconomic boys is sorely lacking; no study has evaluated the association of symptom score trajectories with smoking outcomes. Second, in a sample of 1,037 boys from low socioeconomic neighborhoods, I derived trajectories of hyperactivity and inattention symptom scores between childhood and mid-adolescence (ages 6-15 years), using teachers’ and mothers’ ratings, separately. I also evaluated risk factors for high symptom score trajectories. Three trajectories were identified for both hyperactivity and inattention symptom scores. Hyperactivity symptom scores generally declined over time (high declining, moderate declining, and low declining), whereas inattention symptom scores remained stable (high stable, moderate stable, and low stable). Most boys had low symptom scores over time (i.e., low declining for hyperactivity or low stable for inattention), but approximately one-fifth to one-third followed high symptom score trajectories (high declining for hyperactivity or high stable for inattention). Mothers were more likely than teachers to rate boys as having higher symptom scores. Boys’ behavioral symptom scores (hyperactivity, inattention, opposition, and anxiety) at age 6 years and lack of family intactness were risk factors for high hyperactivity and inattention symptom score trajectories. Third, in the same sample of boys from low socioeconomic neighborhoods, I assessed the associations of the hyperactivity and inattention symptom score trajectories with frequency of cigarette smoking at ages 16-17 years (late adolescence) and daily and heavy (≥1 pack/day) smoking at ages 23 and 28 years (young adulthood). I further conducted mediational analyses to assess the potential impact of cigarette smoking frequency and use of alcohol, marijuana, and other drugs in late adolescence on smoking outcomes in young adulthood. High vs. low symptom score trajectories of hyperactivity (i.e., high declining vs. low declining) and inattention (i.e., high stable vs. low stable) were associated with nearly doubled odds of high cigarette smoking frequency (≥40 times in the past year) in late adolescence (hyperactivity: OR=1.97 [95% CI=1.30-2.98]; inattention: OR=1.87 [1.27-2.76]). High (vs. low) symptom score trajectory of inattention, but not hyperactivity, was further associated with elevated risk for daily cigarette smoking (OR=2.67 [1.53-4.64]) and heavy cigarette smoking (OR=1.95 [1.10-3.45]) in young adulthood. Part of the associations (about 11-23%) was mediated by high cigarette smoking frequency in late adolescence. The mediation roles of other substances were not statistically significant. Although the socioeconomically disadvantaged boys whose data I analyzed were similar in number of symptom score trajectories and trends (declining for hyperactivity and stable for inattention) to boys in general populations, they were at elevated risk for high scores for both of the symptom domains over time. Childhood behavioral problems as well as lack of family intactness were associated with high symptom score trajectories of both hyperactivity and inattention. High trajectories of both hyperactivity and inattention scores were associated with high risk of cigarette smoking frequency in late adolescence, but inattention appeared to have a longer-term impact on smoking behaviors. Altogether, my research findings suggest that children with high symptom levels of hyperactivity and/or inattention at an early age, especially those with symptoms that persist over time, might benefit from early interventions to manage and reduce their symptoms and their risk of becoming cigarette smokers

A Uniformly Dissipative Scheme for Stationary Statistical Properties of the Infinite Prandtl Number Model

The purpose of this short communication is to announce that a class of numerical schemes, uniformly dissipative approximations, which uniformly preserve the dissipativity of the continuous infinite dimensional dissipative complex (chaotic) systems possess desirable properties in terms of approximating stationary statistics properties. in particular, the stationary statistical properties of these uniformly dissipative schemes converge to those of the continuous system at vanishing mesh size. the idea is illustrated on the infinite Prandtl number model for convection and semi-discretization in time, although the general strategy works for a broad class of dissipative complex systems and fully discretized approximations. as far as we know, this is the first result on rigorous validation of numerical schemes for approximating stationary statistical properties of general infinite dimensional dissipative complex systems. © 2008 Elsevier Ltd. All rights reserved

Interleukin-17A upregulates receptor activator of NF-kappaB on osteoclast precursors.

IntroductionThe interaction between the immune and skeletal systems is evidenced by the bone loss observed in autoimmune diseases such as rheumatoid arthritis. In this paper we describe a new mechanism by which the immune cytokine IL-17A directly affects osteoclastogenesis.MethodsHuman CD14+ cells were isolated from healthy donors, cultured on dentine slices and coverslips and stimulated with IL-17A and/or receptor activator of NF-kappaB ligand (RANKL). Osteoclast differentiation was evaluated by gene expression, flow cytometry, tartrate-resistant acid phosphatase staining, fluorescence and electron microscopy. Physiologic bone remodelling was studied in wild-type (Wt) and IL-17A-/- mice using micro-computer tomography and serum RANKL/osteoprotegerin concentration. Functional osteoclastogenesis assays were performed using bone marrow macrophages isolated from IL-17A-/- and Wt mice.ResultsIL-17A upregulates the receptor activator for NF-kappaB receptor on human osteoclast precursors in vitro, leading to increased sensitivity to RANKL signalling, osteoclast differentiation and bone loss. IL-17A-/- mice have physiological bone homeostasis indistinguishable from Wt mice, and bone marrow macrophages isolated from these mice develop fully functional normal osteoclasts.ConclusionsCollectively our data demonstrate anti-IL-17A treatment as a selective therapeutic target for bone loss associated with autoimmune diseases

The School to Family Pipeline: What Do Religious, Private, and Public Schooling Have to Do with Family Formation?

Private religious schools are widely seen as value-laden communities that mold the character of their students. Thus, we expect adults who attended religious schools as children to demonstrate more favorable family outcomes related to stable marriages and childbearing. We further expect Protestant schooling to have a more powerful effect on marital outcomes than Catholic schooling, given the heavier focus of Protestantism on marriage. Finally, we expect stronger positive associations between religious schooling and marital outcomes for adults who grew up in difficult circumstances compared to adults who grew up in advantaged circumstances. We test these hypotheses using survey data from the Understanding America Study. Our three outcome variables are ever marrying and never divorcing, ever divorcing, and conceiving a child out-of-wedlock. Most of the results confirm our hypotheses. Protestant schooling is associated with more positive marital outcomes across all three measures. Catholic schooling is significantly correlated with a lower likelihood of having a child outside of marriage. The associations between religious schooling and desirable marriage outcomes are strongest for adults who grew up poor and for those raised in intact families

Regional association of pCASL-MRI with FDG-PET and PiB-PET in people at risk for autosomal dominant Alzheimer's disease.

Autosomal dominant Alzheimer's disease (ADAD) is a small subset of Alzheimer's disease that is genetically determined with 100% penetrance. It provides a valuable window into studying the course of pathologic processes that leads to dementia. Arterial spin labeling (ASL) MRI is a potential AD imaging marker that non-invasively measures cerebral perfusion. In this study, we investigated the relationship of cerebral blood flow measured by pseudo-continuous ASL (pCASL) MRI with measures of cerebral metabolism (FDG PET) and amyloid deposition (Pittsburgh Compound B (PiB) PET). Thirty-one participants at risk for ADAD (age 39 ± 13 years, 19 females) were recruited into this study, and 21 of them received both MRI and FDG and PiB PET scans. Considerable variability was observed in regional correlations between ASL-CBF and FDG across subjects. Both regional hypo-perfusion and hypo-metabolism were associated with amyloid deposition. Cross-sectional analyses of each biomarker as a function of the estimated years to expected dementia diagnosis indicated an inverse relationship of both perfusion and glucose metabolism with amyloid deposition during AD development. These findings indicate that neurovascular dysfunction is associated with amyloid pathology, and also indicate that ASL CBF may serve as a sensitive early biomarker for AD. The direct comparison among the three biomarkers provides complementary information for understanding the pathophysiological process of AD

White, Man, and Highly Followed: Gender and Race Inequalities in Twitter

Social media is considered a democratic space in which people connect and interact with each other regardless of their gender, race, or any other demographic factor. Despite numerous efforts that explore demographic factors in social media, it is still unclear whether social media perpetuates old inequalities from the offline world. In this paper, we attempt to identify gender and race of Twitter users located in U.S. using advanced image processing algorithms from Face++. Then, we investigate how different demographic groups (i.e. male/female, Asian/Black/White) connect with other. We quantify to what extent one group follow and interact with each other and the extent to which these connections and interactions reflect in inequalities in Twitter. Our analysis shows that users identified as White and male tend to attain higher positions in Twitter, in terms of the number of followers and number of times in user's lists. We hope our effort can stimulate the development of new theories of demographic information in the online space.Comment: In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'17). Leipzig, Germany. August 201