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Osborn AJ, Lange O, Roberts RM. Attention Deficit/Hyperactivity Disorder in Individuals with Non-Syndromic Craniosynostosis: A Systematic Review and Meta-Analysis. Dev Neuropsychol 2024; 49:191-206. [PMID: 38801083 DOI: 10.1080/87565641.2024.2357801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024]
Abstract
It is not yet understood whether, and to what extent, craniosynostosis impacts the development of Attention Deficit/Hyperactivity Disorder (ADHD). This PRISMA compliant and PROSPERO pre-registered (ID: CRD42023458640) systematic review and meta-analysis examines the association of single-suture, non-syndromic craniosynostosis with ADHD and inattention/hyperactivity symptoms. Data from 17 independent studies (Nparticipants = 2,389; Mage = 7.3 years) were analyzed, taking into consideration suture location, surgical status, age, and measures administered, where feasible. Few differences were found between cases and controls, but some studies reported high symptom levels. Additional research is required utilizing larger sample sizes and more comprehensive assessment of ADHD.
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Affiliation(s)
- Amanda J Osborn
- School of Psychology, University of Adelaide, Adelaide, South Australia, Australia
| | - Olivia Lange
- School of Psychology, University of Adelaide, Adelaide, South Australia, Australia
| | - Rachel M Roberts
- School of Psychology, University of Adelaide, Adelaide, South Australia, Australia
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Roberts MD, Loubeau JK, Hasan S, Rabin M, Sikov J, Baul TD, Brigham R, Melissa G, Singh R, Cassidy K, Spencer AE. A Quality Improvement Initiative for Detection of Attention-Deficit/Hyperactivity Disorder in an Urban, Academic Safety Net Hospital. J Dev Behav Pediatr 2024; 45:e121-e128. [PMID: 38552001 PMCID: PMC11141212 DOI: 10.1097/dbp.0000000000001257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
OBJECTIVE Improve detection of Attention Deficit/Hyperactivity Disorder (ADHD) in a safety net, hospital-based, academic pediatric practice by optimizing screening with the Pediatric Symptom Checklist attention score (PSC-AS) and further evaluation with the Vanderbilt ADHD Diagnostic Rating Scale (VADRS). METHODS We implemented a multi-component intervention by (1) optimizing electronic medical record (EMR) features; (2) adjusting clinic operational workflow; and (3) creating a decision-making algorithm for pediatric primary care clinicians (PPCCs). We extracted 4 outcomes manually from the EMR (pediatrician acknowledgment of a positive PSC-AS, documentation of a plan for further evaluation, distribution of VADRS, and completion of at least 1 VADRS). Outcomes were measured monthly in run charts compared to the pre-intervention control period, and implementation was optimized with Plan-Do-Study-Act cycles. RESULTS PPCCs were significantly more likely to acknowledge a positive PSC-AS in the intervention versus control (65.3% vs 41.5%; p < 0.001), although this did not change documentation of a plan (70% vs 67.1%; p -value = 0.565). Significantly more children with a positive PSC-AS were distributed a parent or teacher VADRS in the intervention versus control (30.6% vs 17.7%; p -value = 0.0059), but the percentage of returned VADRS rating scales did not improve (12.9% vs 9.2%; p -value = 0.269). CONCLUSION Our ADHD detection quality improvement initiative improved use of the PSC-AS to identify attention problems and distribution of VADRS diagnostic rating scales, but additional interventions are needed to improve the completion of ADHD evaluations in primary care to ensure that children are appropriately identified and offered evidence-based care.
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Affiliation(s)
- Mona Doss Roberts
- Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - J. Krystel Loubeau
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Syeda Hasan
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Megan Rabin
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Jennifer Sikov
- Department of Psychology, Florida International University, Miami, FL
| | - Tithi D. Baul
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Rebecca Brigham
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Gillooly Melissa
- Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Ruby Singh
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Andrea E. Spencer
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston, MA, USA
- Pritzker Department of Psychiatry and Behavioral Health, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
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Anning KL, Langley K, Hobson C, Van Goozen SHM. Dimensional associations between executive function processes and symptoms of ADHD, ASD, oppositional defiance and anxiety in young school-referred children. Cortex 2023; 167:132-147. [PMID: 37557009 DOI: 10.1016/j.cortex.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/28/2023] [Accepted: 06/20/2023] [Indexed: 08/11/2023]
Abstract
Executive function (EF) difficulties are implicated in Neurodevelopmental Disorders (NDDs), such as Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD). Because NDDs are highly comorbid and frequently co-occur with additional clinical problems, it is unclear how specific EF problems are associated with symptoms of ASD and ADHD, whilst accounting for co-occurring anxiety or oppositional defiance disorder (ODD) symptoms. The current study utilised a large sample of young children (n = 438, aged 4-8) referred to Cardiff University's Neurodevelopment Assessment Unit (NDAU) by teachers for cognitive and/or socio-emotional problems. As part of the referral process, the teachers completed the Strengths and Difficulties Questionnaire (SDQ), which revealed that most children displayed moderate to high hyperactivity (86%) and prosocial (73%) problems, as well as high levels of symptoms in other clinical domains (41% emotional, 61% conduct and 68% peer problems). Children completed tasks to assess episodic memory, cognitive inhibition, cognitive flexibility and visuomotor control, whilst parents completed questionnaires to measure symptoms of ASD, ADHD, anxiety and ODD. Dimensional analyses showed that poorer cognitive inhibition and visuospatial episodic memory were significantly associated with ADHD symptoms, whereas cognitive flexibility was negatively associated with ODD symptoms. Having more ASD symptoms was associated with fewer cognitive inhibition problems, whereas anxiety was associated with better cognitive flexibility. Our approach to assessment and analysis shows that specific cognitive processes are associated with distinct neurodevelopmental and clinical symptoms, which is ultimately relevant to early identification of and intervention for young children at risk of cognitive and/or socio-emotional problems.
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Affiliation(s)
- Kate L Anning
- School of Psychology, Cardiff University, Cardiff, UK.
| | - Kate Langley
- School of Psychology, Cardiff University, Cardiff, UK
| | | | - Stephanie H M Van Goozen
- School of Psychology, Cardiff University, Cardiff, UK; Department of Clinical Neurodevelopmental Studies, Leiden University, Leiden, the Netherlands.
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Bernanke J, Luna A, Chang L, Bruno E, Dworkin J, Posner J. Structural brain measures among children with and without ADHD in the Adolescent Brain and Cognitive Development Study cohort: a cross-sectional US population-based study. Lancet Psychiatry 2022; 9:222-231. [PMID: 35143759 DOI: 10.1016/s2215-0366(21)00505-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 12/07/2021] [Accepted: 12/14/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Structural neuroimaging research has identified a variety of abnormalities in cortical and subcortical structures in children with ADHD. However, studies to date have not employed large, non-referred samples, complete with data on potential confounding variables. Here, we tested for differences in structural MRI measures among children with and without ADHD using data from the Adolescent Brain and Cognitive Development (ABCD) Study, the largest paediatric brain imaging study in the USA. METHODS In this cross-sectional study, we used baseline demographic, clinical, and neuroimaging data from the ABCD Study, which recruited children aged 9-10 years between Sept 1, 2016, and Aug 31, 2018, representative of the sociodemographic features of the US population. ADHD was diagnosed by parent report of symptoms. Neuroimaging data underwent centralised quality control and processing by the ABCD team. Linear mixed effects models were used to estimate Cohen's d values associated with ADHD for 79 brain measures of cortical thickness, cortical area, and subcortical volume. We used a novel simulation strategy to assess the ability to detect significant effects despite potential diagnostic misclassification. FINDINGS Our sample included 10 736 participants (5592 boys, 5139 girls; 5692 White, 2165 Hispanic, 1543 Black, 221 Asian, and 1100 of other race or ethnicity), of whom, 949 met the criteria for ADHD and 9787 did not. In the full model, which included potential confounding variables selected a priori, we found only 11 significant differences across the 79 brain measures after false discovery rate correction, all indicating reductions in brain measures among participants with ADHD. Cohen's d values were small, ranging from -0·11 to -0·06, and were not meaningfully changed by using a more restrictive comparison group or alternative diagnostic methods. Simulations indicated adequate statistical power to detect differences even if there was substantial diagnostic misclassification. INTERPRETATION In a sample representative of the general population, children aged 9-10 years with ADHD differed only modestly on structural brain measures from their unaffected peers. Future studies might need to incorporate other MRI modalities, novel statistical approaches, or alternative diagnostic classifications, particularly for research aimed at developing ADHD diagnostic biomarkers. FUNDING Edwin S Webster Foundation and Duke University, NC, USA.
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Affiliation(s)
- Joel Bernanke
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Alex Luna
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Le Chang
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Elizabeth Bruno
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jordan Dworkin
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jonathan Posner
- Department of Psychiatry and Behavioral Health, Duke University, Durham, NC, USA.
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Spencer AE, Oblath R, Dayal R, Loubeau JK, Lejeune J, Sikov J, Savage M, Posse C, Jain S, Zolli N, Baul TD, Ladino V, Ji C, Kabrt J, Mousad L, Rabin M, Murphy JM, Garg A. Changes in psychosocial functioning among urban, school-age children during the COVID-19 pandemic. Child Adolesc Psychiatry Ment Health 2021; 15:73. [PMID: 34857026 PMCID: PMC8637516 DOI: 10.1186/s13034-021-00419-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/04/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND There is concern about the effect of the COVID-19 pandemic on psychosocial functioning among school-age children, who have faced unusual stressors during this time. Our goal was to assess mental health symptoms and social risks during COVID-19, compared to before the pandemic, for urban, racial and ethnic minority school-age children, and investigate the relationship between mental health and social risks. METHODS We conducted a cohort study from September 2019 until January 2021 of children age 5-11 years old recruited from an urban safety net hospital-based pediatric primary care practice. We measured emotional and behavioral symptoms (including attention, internalizing, and externalizing symptoms) before and during the pandemic with the Pediatric Symptom Checklist (PSC-17). We measured social risks (including food and housing insecurity) before and during the pandemic with the THRIVE screener. We measured additional mid-pandemic COVID-related stressors with items on school participation, screens/media use, illness exposure, and caregiver mental health. We compared pre- and mid-pandemic PSC-17 symptom scores across 4 domains (total, attention, internalizing, and externalizing) and used path analysis to examine the relationship between mental health and social risks pre- and mid-pandemic. RESULTS Caregivers of 168 children (54% non-Hispanic Black, 29% Hispanic, and 22% non-English speaking) completed the study. Children had significantly higher levels of emotional and behavioral symptoms midpandemic- vs. pre-pandemic in all domains. Significantly more children had a positive PSC-17 total score (18% vs. 8%, p < 0.01) and internalizing (depression and anxiety) score (18% vs. 5%, p < 0.001) during the pandemic vs. before, indicating clinical concerns in these areas. Caregivers reported significantly more social risks during vs. before the pandemic (p < 0.001). Mental health symptoms significantly correlated with number of social risks before the pandemic, but not during the pandemic. Less school assignment completion, increased screen time, and caregiver depression were all significantly associated with worse mid-pandemic mental health in children. CONCLUSION The COVID-19 pandemic has led to a dramatic increase in depression/anxiety problems and social risks among urban, racial and ethnic minority school-age children compared to before the pandemic. More research is needed to understand if these changes will persist.
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Affiliation(s)
- Andrea E Spencer
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA.
| | - Rachel Oblath
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Rohan Dayal
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - J Krystel Loubeau
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Julia Lejeune
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Jennifer Sikov
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Meera Savage
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Catalina Posse
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Sonal Jain
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Nicole Zolli
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Tithi D Baul
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Valeria Ladino
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Chelsea Ji
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Jessica Kabrt
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Lillian Mousad
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Megan Rabin
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - J Michael Murphy
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Arvin Garg
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, USA
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Burke RE, Hoffman ND, Guy L, Bailey J, Silver EJ. Screening, Monitoring, and Referral to Treatment for Young Adolescents at an Urban School-Based Health Center. THE JOURNAL OF SCHOOL HEALTH 2021; 91:981-991. [PMID: 34647330 DOI: 10.1111/josh.13089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 02/12/2021] [Accepted: 02/12/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND This study describes the experience of implementing a screening, monitoring, and referral to treatment (SMARTT) initiative at an urban middle school school-based health center. METHODS Retrospective data were collected for adolescents screened with the Pediatric Symptom Checklist-17-Y. At-risk adolescents having unmet health needs were offered a mental health referral, and those that declined a mental health referral were offered a primary care monitoring (PCM) visit with the medical provider. Chi-square analyses were used to evaluate differences in screening and outcomes by age, sex, and race/ethnicity. RESULTS One out of four adolescents had a positive PSC-17-Y or negative screen with other identified concerns. Approximately half of these at-risk adolescents accepted a mental health referral, and 86% of those who declined agreed to the PCM visit. More than two-thirds of the PCM group did not need continued monitoring and support at follow-up, and 85.4% of youth who had a mental health assessment accepted mental health services. CONCLUSIONS The SMARTT initiative successfully demonstrated that co-located and integrated mental health services can enhance access and connection to mental health services for at-risk youth. In addition, PCM visits were found to be an effective option for youth who declined mental health referrals.
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Affiliation(s)
- Robert E Burke
- Nurse Practitioner, , Montefiore Health System, Montefiore School Health Program, 3380 Reservoir Oval, Bronx, NY 10467
| | - Neal D Hoffman
- Associate Professor of Pediatrics, , Division of Adolescent Medicine, Albert Einstein College of Medicine, Children's Hospital at Montefiore, 3415 Bainbridge Avenue, Bronx, NY, 10467
| | - Laura Guy
- Supervisor/ Program Director, , Montefiore Health System, Montefiore School Health Program, 3380 Reservoir Oval, Bronx, NY, 10467
| | - Jodi Bailey
- Director of Quality and Performance Improvement, , NYC Department of Health and Mental Hygiene, Office of School Health, Adolescent Health Unit, 30-30 47th Avenue, Long Island City, NY, 11101
| | - Ellen Johnson Silver
- Research Professor of Pediatrics, , Division of Academic General Pediatrics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Van Etten 6B-24, Bronx, NY, 10461
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Biederman J, DiSalvo M, Vaudreuil C, Wozniak J, Uchida M, Woodworth KY, Green A, Farrell A, Faraone SV. The child behavior checklist can aid in characterizing suspected comorbid psychopathology in clinically referred youth with ADHD. J Psychiatr Res 2021; 138:477-484. [PMID: 33965736 PMCID: PMC9069333 DOI: 10.1016/j.jpsychires.2021.04.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/18/2021] [Accepted: 04/08/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To examine the utility of the Child Behavior Checklist (CBCL) to aid in the identification of comorbid psychopathological conditions affecting referred youth with suspected ADHD prior to the evaluation. The CBCL is an easy-to-use assessment tool that may provide invaluable information regarding the severity and characteristics of the presenting complaints. METHODS The sample included 332 youths consecutively referred to an ADHD program for the assessment of suspected ADHD. Parents completed the CBCL, parent-rated ADHD Self-Report Scale (ASRS), Social Responsiveness Scale (SRS), and Behavior Rating Inventory of Executive Function (BRIEF). Because of the established association between the CBCL Attention Problems scale and a structured diagnostic interview of ADHD, all youths analyzed had abnormal Attention Problems T-scores (≥60). RESULTS Seventy-six percent of youths with elevated Attention Problems T-scores had ≥3 additional abnormal CBCL scales, suggesting they were likely affected with multiple comorbid psychopathological conditions. Moreover, 44% had ≥1 CBCL clinical scale with a T-score more severe than their Attention Problems T-score, suggesting the putative comorbid condition was more severe than the ADHD symptoms. Additional CBCL scale elevations were associated with more severe functional impairments as assessed by the ASRS, SRS, BRIEF, and CBCL competence scales. CONCLUSION The CBCL obtained before the clinical assessment identified high rates of comorbid psychopathology in youths referred for the assessment of ADHD. It provided detailed information about the types and severity of suspected psychopathological conditions impacting a particular youth, which is critical to guide the assessing clinician on likely differing needs of the affected child.
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Affiliation(s)
- Joseph Biederman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Maura DiSalvo
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Carrie Vaudreuil
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Janet Wozniak
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mai Uchida
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - K. Yvonne Woodworth
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Allison Green
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Abigail Farrell
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Stephen V. Faraone
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA,Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
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Matta PN, Baul TD, Loubeau K, Sikov J, Plasencia N, Sun Y, Spencer AE. Low sports participation is associated with withdrawn and depressed symptoms in urban, school-age children. J Affect Disord 2021; 280:24-29. [PMID: 33221604 PMCID: PMC7736521 DOI: 10.1016/j.jad.2020.11.076] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 09/12/2020] [Accepted: 11/08/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The association between sports participation and mental health has not been studied in primary care samples of school-age children, nor in underrepresented minority children. We assessed the relationship between number of sports played and psychiatric symptoms in children ages 6-11 at well-child visits in an urban clinic. METHODS Guardians of 206 children (85% Latinx) ages 6-11 completed Child Behavior Checklists (CBCL) in Spanish (66.5%) or English at well-child visits at an urban community health center. We performed linear regression between number of sports played and individual CBCL syndrome scores, and multiple logistic regression with normal (T-score <60) vs. elevated (T-score ≥60) CBCL syndrome scale score as the outcome. We conducted bivariate, multiple logistic regression, and linear regression analyses between low (1 or fewer) vs. high (2 or more) sports participators and subscales of interest. RESULTS Fewer sports played was associated with higher Withdrawn/Depressed CBCL syndrome scale T-scores (p = 0.019), but not with other CBCL syndrome scale scores nor number of syndrome scale elevations (p = 0.638). Low participators had higher odds of an elevated Withdrawn/Depressed T-score (p = 0.033) than high participators. LIMITATIONS Our dataset did not contain certain details about sports played, nor information about income and insurance, and our results may not generalize to other populations. CONCLUSIONS Playing fewer sports is associated with higher withdrawn/depressed symptoms in urban, predominantly Latinx, school-age children. Therefore, urban school-age children with low sports participation may be at risk for depression, and sports participation might protect against depressive symptoms in childhood.
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Affiliation(s)
- Punit N. Matta
- Boston University School of Medicine, 72 E. Concord St. Boston, MA 02118
| | - Tithi D. Baul
- Boston Medical Center, 1 Boston Medical Center Pl. Boston, MA 02118
| | - Krystel Loubeau
- Boston Medical Center, 1 Boston Medical Center Pl. Boston, MA 02118
| | - Jennifer Sikov
- Boston Medical Center, 1 Boston Medical Center Pl. Boston, MA 02118
| | | | - Ying Sun
- The Jewish General Hospital, Montreal, Quebec, Canada
| | - Andrea E. Spencer
- Boston University School of Medicine, 72 E. Concord St. Boston, MA 02118,Boston Medical Center, 1 Boston Medical Center Pl. Boston, MA 02118
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Spencer AE, Baul TD, Sikov J, Adams WG, Tripodis Y, Buonocore O, Jellinek M, Murphy JM, Garg A. The Relationship Between Social Risks and the Mental Health of School-Age Children in Primary Care. Acad Pediatr 2020; 20:208-215. [PMID: 31751774 PMCID: PMC7036330 DOI: 10.1016/j.acap.2019.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 11/12/2019] [Accepted: 11/12/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND OBJECTIVE The study's goal was to measure the association between social risks and the mental health of school-age children in primary care. METHODS We conducted a cross-sectional study in an urban safety-net hospital-based pediatric clinic using data collected from 2 standardized screening tools administered at well-child care visits for children age 6 to 11. Psychosocial dysfunction was measured with the Pediatric Symptom Checklist-17 (PSC-17), and 6 social risks (caregiver education, employment, child care, housing, food security, and household heat) were measured with the WE CARE screener. Multivariable linear and logistic regression analyses were conducted to measure the association between scores while controlling for sociodemographic characteristics. RESULTS Among N = 943 patients, cumulative social risks were significantly associated with a positive PSC-17 total score (adjusted odds ratio [aOR] 1.2; 95% confidence interval [CI] 1.1-1.5; P = .02), indicating psychosocial dysfunction. Children with ≥3 social risks were 2.4 times more likely to have a positive PSC-17 total score compared to children with <3 social risks (95% CI 1.5-3.9; P < .001). Of the individual social risks measured, only food insecurity significantly predicted a positive PSC-17 total score (aOR 1.9; 95% CI 1.1-3.2; P = .02) and attention score (aOR 1.9; 95% CI 1.1-3.4; P = .03). CONCLUSION Number of risks on a social risk screener was associated with psychosocial dysfunction in school-age children. Food insecurity was the only individual risk associated with psychosocial dysfunction, in particular attention problems. Screening tools for social risks could be used to identify at-risk children whose mental health may be adversely impacted by their social conditions.
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Affiliation(s)
- Andrea E. Spencer
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Tithi D. Baul
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Jennifer Sikov
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - William G. Adams
- Department of Pediatrics, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | | | - Olivia Buonocore
- Department of Psychiatry, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Michael Jellinek
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - J. Michael Murphy
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Arvin Garg
- Department of Pediatrics, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
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