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Department/Unit:Child and Adolescent Psychiatry

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Adult attention-deficit/hyperactivity disorder among alcohol use disorder inpatients is associated with food addiction and binge eating, but not BMI

El Ayoubi, Hussein; Barrault, Servane; Gateau, Adrien; Cortese, Samuele; Frammery, Julie; Mollat, Elodie; Bonnet-Brilhault, Fréderique; Grall-Bronnec, Marie; Ballon, Nicolas; Brunault, Paul
Introduction: Attention-deficit/hyperactivity disorder (ADHD) is associated with binge eating (BE), food addiction (FA), and obesity/higher BMI in individuals without alcohol use disorder (AUD). ADHD is highly prevalent in patients with AUD, but it is unknown whether the presence of comorbid AUD might change the nature of the association between ADHD, BE, FA and BMI (food and alcohol may either compete for the same brain neurocircuitry or share vulnerability risk factors). Here, we filled this gap by testing the association between ADHD and FA/BE in adult patients hospitalized for AUD, with the strength of simultaneously assessing childhood and adult ADHD. We also investigated the association between ADHD and BMI, and the other factors associated with BMI (FA/BE, AUD severity). Methods: We included 149 AUD inpatients between November 2018 and April 2019. We assessed both childhood and adulthood ADHD (Wender Utah Render Scale and Adult ADHD Self-Report Scale), FA (modified Yale Food Addiction Scale 2.0), BE (Binge Eating Scale), and BMI and AUD (clinical assessment). Results: In multivariable analyses adjusted for age, adult ADHD was associated with higher BE scores (p = .048), but not significant BE (9% vs. 7%; p = .70). ADHD was also associated with FA diagnosis and the number or FA symptoms, with larger effect size for adult (ORs: 9.45[95%CI: 2.82"“31.74] and 1.38[1.13"“1.69], respectively) than childhood ADHD (ORs: 4.45[1.37"“14.46] and 1.40[1.13"“1.75], respectively). In multivariable analysis, BMI was associated with both significant BE (p < .001) and FA diagnosis (p = .014), but not adult ADHD nor AUD severity. Conclusion: In patients hospitalized for AUD, self-reported adult ADHD was associated with FA and BE, but not BMI. Our results set the groundwork for longitudinal research on the link between ADHD, FA, BE, and BMI in AUD inpatients.
SCOPUS:85114006359
ISSN: 0195-6663
CID: 5008092

Revisiting caregiver satisfaction with children"™s mental health services in the United States

Seibel, Lauren F.; Peth-Pierce, Robin; Hoagwood, Kimberly E.
Nearly four decades ago, Unclaimed Children documented the gaps in the United States between mental health programs and caregivers"™ perspectives about those services for their children. This absence of attention to parent or caregiver perspectives, including their satisfaction with these services, was a key finding of the report, which detailed system failure in caring for youth with mental health needs. Since then, the focus on caregiver satisfaction with children"™s mental health services has been largely overlooked in research, and when examined has been mostly included as an indicator of the feasibility of program implementation. In striking contrast, overall healthcare system reforms have highlighted the importance of improving consumer"™s direct experience of care. However, caregiver satisfaction remains largely disconnected to these overall health system reforms, even as reforms focus increasingly on value-based, coordinated and integrated care. In this paper, we review literature from 2010 to 2020, revisit the measurement of caregiver satisfaction, identify how and when it is being measured, and delineate a research agenda to both realign it with health system improvements, refine its focus on expectancies and appropriateness, and root it more firmly in the principles of user experience (UX) and human-centered design (HCD).
SCOPUS:85113734344
ISSN: 1752-4458
CID: 5007762

Predicting multiscan MRI outcomes in children with neurodevelopmental conditions following MRI simulator training

Simhal, Anish K.; Filho, José O.A.; Segura, Patricia; Cloud, Jessica; Petkova, Eva; Gallagher, Richard; Castellanos, F. Xavier; Colcombe, Stan; Milham, Michael P.; Di Martino, Adriana
Pediatric brain imaging holds significant promise for understanding neurodevelopment. However, the requirement to remain still inside a noisy, enclosed scanner remains a challenge. Verbal or visual descriptions of the process, and/or practice in MRI simulators are the norm in preparing children. Yet, the factors predictive of successfully obtaining neuroimaging data remain unclear. We examined data from 250 children (6"“12 years, 197 males) with autism and/or attention-deficit/hyperactivity disorder. Children completed systematic MRI simulator training aimed to habituate to the scanner environment and minimize head motion. An MRI session comprised multiple structural, resting-state, task and diffusion scans. Of the 201 children passing simulator training and attempting scanning, nearly all (94%) successfully completed the first structural scan in the sequence, and 88% also completed the following functional scan. The number of successful scans decreased as the sequence progressed. Multivariate analyses revealed that age was the strongest predictor of successful scans in the session, with younger children having lower success rates. After age, sensorimotor atypicalities contributed most to prediction. Results provide insights on factors to consider in designing pediatric brain imaging protocols.
SCOPUS:85116891868
ISSN: 1878-9293
CID: 5056002

The Impact of Television, Electronic Games, and Social Technology Use on Sleep and Health in Adolescents with an Evening Circadian Preference

Gumport, Nicole B; Gasperetti, Caitlin E; Silk, Jennifer S; Harvey, Allison G
There are mixed findings when examining if technology use is harmful for adolescent sleep and health. This study builds on these mixed findings by examining the association between technology use with sleep and health in a high-risk group of adolescents. Adolescents with an evening circadian preference (N = 176; 58% female, mean age = 14.77, age range = 10-18) completed measures over one week. Sleep was measured via actigraphy. Technology use and health were measured using ecological momentary assessment. Technology use was associated with an increase in sleep onset latency; with better emotional, social, cognitive, and physical health; and with worse behavioral health. This study offers support for technology use having some benefits and expands research on technology use to adolescents with an evening circadian preference.
PMID: 33948831
ISSN: 1573-6601
CID: 4950692

Changes in social support of pregnant and postnatal mothers during the COVID-19 pandemic

Zhou, Judy; Havens, Kathryn L; Starnes, Catherine P; Pickering, Trevor A; Brito, Natalie H; Hendrix, Cassandra L; Thomason, Moriah E; Vatalaro, Tessa C; Smith, Beth A
OBJECTIVE:Our objectives were to assess in perinatal women: the most effective methods used to meet social support needs during COVID-19, the impact of COVID-19 on self-reported social support levels, and how perceived change in social support related to distress, depression, and mental health. DESIGN/METHODS:One-time survey administered from April to August 2020 SETTING: Online PARTICIPANTS: Pregnant and postpartum women with infants less than 6 months of age MEASUREMENT AND FINDINGS: Participants indicated the methods they used to meet social support needs during COVID-19. They self-rated their social support level pre- and during pandemic and their distress, depressive symptoms, and mental health changes on a Likert scale. Out of 1142 participants, the most effective methods for obtaining social support during the pandemic were virtual means (e.g. video call) and interaction with friends. There was a significant difference in distribution of self-reported levels of social support before and during the pandemic, with more respondents reporting a decrease in support. Decreases in social support were associated with higher distress levels, higher levels of depressive symptoms, and poorer mental health. KEY CONCLUSIONS/CONCLUSIONS:Perinatal women reported decreased social support during the COVID-19 pandemic which was associated with poorer mental health. Using virtual means of social support and support provided by friends had the largest positive effect on perceived social support levels. IMPLICATIONS FOR PRACTICE/CONCLUSIONS:Interventions using virtual support means from friends may be helpful to improve social support and mental health in this population.
PMCID:8485715
PMID: 34649034
ISSN: 1532-3099
CID: 5063122

Correction to: Profiling Basal Forebrain Cholinergic Neurons Reveals a Molecular Basis for Vulnerability Within the Ts65Dn Model of Down Syndrome and Alzheimer's Disease

Alldred, Melissa J; Penikalapati, Sai C; Lee, Sang Han; Heguy, Adriana; Roussos, Panos; Ginsberg, Stephen D
PMID: 34837629
ISSN: 1559-1182
CID: 5063972

Economic burden of attention-deficit/hyperactivity disorder among adults in the United States: a societal perspective

Schein, Jeff; Adler, Lenard A; Childress, Ann; Gagnon-Sanschagrin, Patrick; Davidson, Mikhaïl; Kinkead, Frédéric; Cloutier, Martin; Guérin, Annie; Lefebvre, Patrick
PMID: 34806909
ISSN: 2376-1032
CID: 5063342

Early career psychiatrists advocate reorientation not redeployment for COVID-19 care [Letter]

Alkasaby, Muhammad Abdullaitf; Philip, Sharad; Agrawal, Aditi; Jakhar, Jitender; Ojeahere, Margaret Isioma; Ori, Dorottya; Ransing, Ramdas; Saeed, Fahimeh; Mohammadreza, Shalbafan; Shoib, Sheikh; El Halabi, Sarah; Solerdelcoll, Mireia; Pereira-Sanchez, Victor; Pinto da Costa, Mariana
PMID: 34806442
ISSN: 1741-2854
CID: 5063322

Predictors of Intentional Self -Harm Among Medicaid Mental Health Clinic Clients In New York

Rahman, Mahfuza; Leckman-Westin, Emily; Stanley, Barbara; Kammer, Jamie; Layman, Deborah; Labouliere, Christa D; Cummings, Anni; Vasan, Prabu; Vega, Katrina; Green, Kelly L; Brown, Gregory K; Finnerty, Molly; Galfalvy, Hanga
BACKGROUND:Behavioral health outpatients are at risk for self-harm. Identifying individuals or combination of risk factors could discriminate those at elevated risk for self-harm. METHODS:The study population (N=248,491) included New York State Medicaid-enrolled individuals aged 10 to 64 with mental health specialty clinic visits 11/1/15-11/1/16. Self-harm episodes were defined using ICD-10 codes from emergency department and inpatient visits. Multi-predictor logistic regression models were fit on a subsample of the data and compared to a testing sample based on discrimination performance (Area Under the Curve or AUC). RESULTS:Of N=248,491 patients, 4,224 (1.70%) had an episode of intentional self-harm. Factors associated with increased self-harm risk were age17-25, being female and having recent diagnoses of depression (AOR=4.3, 95%CI: 3.6-5.0), personality disorder (AOR=4.2, 95%CI: 2.9-6.1), or substance use disorder (AOR=3.4, 95%CI: 2.7-4.3) within the last month. A multi-predictor logistic regression model including demographics and new psychiatric diagnoses within 90 days prior to index date had good discrimination and outperformed competitor models on a testing sample (AUC=0.86, 95%CI:0.85-0.87). LIMITATIONS/CONCLUSIONS:New York State Medicaid data may not be generalizable to the entire U.S population. ICD-10 codes do not allow distinction between self-harm with and without intent to die. CONCLUSIONS:Our results highlight the usefulness of recency of new psychiatric diagnoses, in predicting the magnitude and timing of intentional self-harm risk. An algorithm based on this finding could enhance clinical assessments support screening, intervention and outreach programs that are at the heart of a Zero Suicide prevention model.
PMID: 34813869
ISSN: 1573-2517
CID: 5063562

The Rise of Eating Disorders During COVID-19 and the Impact on Treatment [Letter]

Reed, Jace; Ort, Katherine
PMID: 34780989
ISSN: 1527-5418
CID: 5048982