Faculty Bibliography

We conducted a systematic review and a meta-analysis to quantitatively summarize evidence on the association between attention-deficit/hyperactivity disorder (ADHD) and type 2 diabetes (T2D). Moreover, a register-based sibling study was conducted to simultaneously control for confounding factors. A systematic search identified four eligible observational studies (N = 5738,287). The meta-analysis showed that individuals with ADHD have a more than doubled risk of T2D when considering adjusted estimates (OR=2.29 [1.48-3.55], d=0.46). Results from the register-based Swedish data showed a significant association between ADHD and T2D (HR=2.35 [2.14-2.58]), with substance use disorder, depression, and anxiety being the main drivers of the association, and cardiovascular and familiar risk playing a smaller role. While results from the meta-analysis provide evidence for an increased risk of T2D in individuals with ADHD, the register-based analyses show that the association between ADHD and T2D is largely explained by psychiatric comorbidities. Pending further evidence of causal association, our findings suggest that early identification and treatment of ADHD comorbidities might greatly reduce the risk of developing T2D in individuals with ADHD.

BACKGROUND:Several studies have shown associations between maternal interpersonal violence-related posttraumatic stress disorder (PTSD), child mental health problems, and impaired socioemotional development. However, the existing literature lacks evidence linking constellations of risk factors such as maternal interpersonal-violence-related PTSD, psychopathology, and interactive behavior with toddlers and outcome measures at school-age. METHODS:This study involved a prospective, longitudinal investigation of 62 mothers and examined the relationship between maternal variables measured when children were in early childhood (mean age 27 months), and child outcomes when children were school-age (age mean = 83.2 months) while retaining a focus on the context of maternal PTSD. To identify and weigh associated dimensions comparatively, we employed sparse canonical correlation analysis (sCCA) aimed at associating dimensions of a dataset of 20 maternal variables in early childhood with that of more than 20 child outcome variables (i.e., child psychopathology, life-events, and socioemotional skills) at school-age. RESULTS:Phase 1 variables with the highest weights were those of maternal psychopathology: PTSD, depressive and dissociative symptoms, and self-report of parental stress. The highest weighted Phase 2 child outcome measures were those of child psychopathology: PTSD, anxiety, and depressive symptoms as well as peer bullying and victimization. CONCLUSIONS:sCCA revealed that trauma-related concepts in mothers were significantly and reliably associated with child psychopathology and other indicators of risk for intergenerational transmission of violence and victimization. The results highlight the dimensional and multifaceted nature-both for mothers as well as children-of the intergenerational transmission of violence and associated psychopathology.

Previous studies have linked peer bullying to nonsuicidal self-injury (NSSI). However, the evidence is largely limited to population-based groups. This study examined whether there is a relationship between NSSI and being a victim of peer bullying among adolescents in a clinical sample and how this may be influenced by types of bullying. The sample consisted of 96 outpatients with NSSI and 107 healthy adolescents. The Inventory of Statements About Self-Injury, Peer Bullying Scale, and Rosenberg Self-Esteem Scale were applied. Whereas the scores of each bullying type of adolescents with NSSI were significantly higher, their self-esteem scores were significantly lower. Each victimization score of bullying had a negative correlation with NSSI-onset age and self-esteem scores and a positive correlation with self-injury scores. This study demonstrated that being a victim of any type of bullying is strongly associated with self-injury. It would be advisable to screen adolescents with self-injury for exposure to bullying, and vice versa.

The ability to sustain attention is a critical cognitive domain that emerges in infancy and is predictive of a multitude of cognitive processes. Here, we used a heart rate (HR) defined measure of sustained attention to assess corresponding changes in frontal electroencephalography (EEG) power at 3 months of age. Second, we examined how the neural underpinnings of HR-defined sustained attention were associated with sustained attention engagement. Third, we evaluated if neural or behavioral sustained attention measures at 3-months predicted subsequent recognition memory scores at 9 months of age. Seventy-five infants were included at 3 months of age and provided usable attention and EEG data and 25 infants returned to the lab at 9 months and provided usable recognition memory data. The current study focuses on oscillatory power in the theta (4-6 Hz) frequency band during phases of HR-defined sustained attention and inattention phases. Results revealed that theta power was significantly higher during phases of sustained attention. Second, higher theta power during sustained attention was positively associated with proportion of time in sustained attention. Third, longitudinal analyses indicated a significant positive association between theta power during sustained attention on 9-month visual paired comparison scores such that higher theta power predicted higher visual paired comparison scores at 9-months. These results highlight the interrelation of the attention and arousal systems which have longitudinal implications for subsequent recognition memory processes.

Women are particularly susceptible to mental health challenges during the perinatal period. With the onset of the COVID-19 pandemic in 2020, much concern was raised about the impact that the associated isolation, uncertainty, grief, loss and economic upheaval would have on mental health. Women experienced a disproportionate amount of environmental strain during this time, including economic stress and challenges associated with being essential workers; stressors were perhaps most prevalent in communities of color and immigrant groups. For women who were pregnant during the height of the pandemic, it is clear that stress, anxiety, and depression were increased due to changes in medical care and decreases in social support. Increased mental health challenges in the perinatal period have been shown to impact social-emotional, cognitive and behavioral health in infants and children, so the potential consequences of the COVID-19 era are great. This paper discusses these potential impacts and describes important pathways for future research.

Background and Aims: Diabetes technology (DT) use is associated with lower HbA1c in type 1 diabetes (T1D). Non- Hispanic Black and Hispanic populations are more likely to have lower DT use and higher HbA1c compared to non-Hispanic White populations. We examined the extent to which differential DT use explains outcome disparities at an outpatient pediatric diabetes center in NYC.
Method(s): Patients identifying as non-White, Hispanic, or non-English language preference were grouped (minority race/ language; MRL) and compared to non-Hispanic White, Englishpreferred patients. HbA1c >9% was categorized as high. T-test and chi-square statistics compared patient characteristics by HbA1c category. Binomial regression with generalized estimating equations estimated associations (risk ratios, RR; 95% confidence intervals, CI) between MRL and high HbA1c. First, models were adjusted for insurance type and Child Opportunity Index (COI), then additionally for CGM and pump use.
Result(s): Patients (n = 331) aged 2-25 years with T1D >= 3 months attended 709 visits (mean 2.2, SD 1.2) from 2020-2021; 32% identified as MRL. At the most recent visit, 16% had HbA1c>9% (MRL 29%, non-MRL 10%), 87% used CGMs (MRL 77%, non-MRL 92%), and 78% used pumps (MRL 72%, non-MRL 81%). MRL youth were 2.5 (95% CI 1.6-4.0) times more likely to have HbA1c>9% as compared to non-MRL youth, adjusted for insurance and COI. After adjusting for DT use, MRL youth remained twice as likely to have HbA1c>9% (RR 2.0, 95% CI 1.2-3.3).
Conclusion(s): While the disparity in HbA1c between MRL and non-MRL youth can be partially attributed to DT use, disparity persists even after accounting for DT use

Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability, motor disorders, specific learning disorders, and tic disorders - manifest themselves early in development. Valid, reliable and broadly usable biomarkers supporting a timely diagnosis of these disorders would be highly relevant from a clinical and public health standpoint. We conducted the first systematic review of studies on candidate diagnostic biomarkers for these disorders in children and adolescents. We searched Medline and Embase + Embase Classic with terms relating to biomarkers until April 6, 2022, and conducted additional targeted searches for genome-wide association studies (GWAS) and neuroimaging or neurophysiological studies carried out by international consortia. We considered a candidate biomarker as promising if it was reported in at least two independent studies providing evidence of sensitivity and specificity of at least 80%. After screening 10,625 references, we retained 780 studies (374 biochemical, 203 neuroimaging, 133 neurophysiological and 65 neuropsychological studies, and five GWAS), including a total of approximately 120,000 cases and 176,000 controls. While the majority of the studies focused simply on associations, we could not find any biomarker for which there was evidence - from two or more studies from independent research groups, with results going into the same direction - of specificity and sensitivity of at least 80%. Other important metrics to assess the validity of a candidate biomarker, such as positive predictive value and negative predictive value, were infrequently reported. Limitations of the currently available studies include mostly small sample size, heterogeneous approaches and candidate biomarker targets, undue focus on single instead of joint biomarker signatures, and incomplete accounting for potential confounding factors. Future multivariable and multi-level approaches may be best suited to find valid candidate biomarkers, which will then need to be validated in external, independent samples and then, importantly, tested in terms of feasibility and cost-effectiveness, before they can be implemented in daily clinical practice.

High quality and culturally responsive early childhood education and care (ECEC) for young children before kindergarten is seen as a way to ensure that all children enter school ready to learn. ECEC is even more crucial in the context of recovery from the COVID-19 pandemic and the disproportionate burden of trauma and stress borne by families of color in disinvested neighborhoods. Remote learning and repeated disruptions to in-person instruction as protocols shifted during waves of the pandemic placed an extra strain on families, and may have increased educational disparities in the U.S. Taken together, these challenges have implications for children's school readiness due to their impact on opportunities for learning at home and in the classroom. This paper explores how ECEC programs can be strengthened to better meet children's needs, and ways in which future research can shed light on these important issues.

Over the last century, collaboration between clinical neuropsychologists and neurosurgeons has advanced the state of the science in both disciplines. These advances have provided the field of neuropsychology with many opportunities for innovation in the care of patients prior to, during, and following neurosurgical intervention. Beyond giving a general overview of how present-day advances in technology are being applied in the practice of neuropsychology within a neurological surgery department, this article outlines new developments that are currently unfolding. Improvements in remote platform, computer interface, "real-time" analytics, mobile devices, and immersive virtual reality have the capacity to increase the customization, precision, and accessibility of neuropsychological services. In doing so, such innovations have the potential to improve outcomes and ameliorate health care disparities.