Eldon G. Schulz
University of Arkansas for Medical Sciences
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Eldon G. Schulz.
MMWR. Surveillance summaries : Morbidity and mortality weekly report. Surveillance summaries / CDC | 2016
Deborah Christensen; Jon Baio; Kim Van Naarden Braun; Deborah A. Bilder; Jane M. Charles; John N. Constantino; Julie L. Daniels; Maureen S. Durkin; Robert T. Fitzgerald; Margaret Kurzius-Spencer; Li Ching Lee; Sydney Pettygrove; Cordelia Robinson; Eldon G. Schulz; Chris S. Wells; Martha S. Wingate; Walter Zahorodny; Marshalyn Yeargin-Allsopp
PROBLEM/CONDITION Autism spectrum disorder (ASD). PERIOD COVERED 2012. DESCRIPTION OF SYSTEM The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence and characteristics of ASD among children aged 8 years whose parents or guardians reside in 11 ADDM Network sites in the United States (Arkansas, Arizona, Colorado, Georgia, Maryland, Missouri, New Jersey, North Carolina, South Carolina, Utah, and Wisconsin). Surveillance to determine ASD case status is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional service providers in the community. Data sources identified for record review are categorized as either 1) education source type, including developmental evaluations to determine eligibility for special education services or 2) health care source type, including diagnostic and developmental evaluations. The second phase involves the review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides ASD prevalence estimates for children aged 8 years living in catchment areas of the ADDM Network sites in 2012, overall and stratified by sex, race/ethnicity, and the type of source records (education and health records versus health records only). In addition, this report describes the proportion of children with ASD with a score consistent with intellectual disability on a standardized intellectual ability test, the age at which the earliest known comprehensive evaluation was performed, the proportion of children with a previous ASD diagnosis, the specific type of ASD diagnosis, and any special education eligibility classification. RESULTS For 2012, the combined estimated prevalence of ASD among the 11 ADDM Network sites was 14.6 per 1,000 (one in 68) children aged 8 years. Estimated prevalence was significantly higher among boys aged 8 years (23.6 per 1,000) than among girls aged 8 years (5.3 per 1,000). Estimated ASD prevalence was significantly higher among non-Hispanic white children aged 8 years (15.5 per 1,000) compared with non-Hispanic black children (13.2 per 1,000), and Hispanic (10.1 per 1,000) children aged 8 years. Estimated prevalence varied widely among the 11 ADDM Network sites, ranging from 8.2 per 1,000 children aged 8 years (in the area of the Maryland site where only health care records were reviewed) to 24.6 per 1,000 children aged 8 years (in New Jersey, where both education and health care records were reviewed). Estimated prevalence was higher in surveillance sites where education records and health records were reviewed compared with sites where health records only were reviewed (17.1 per 1,000 and 10.7 per 1,000 children aged 8 years, respectively; p<0.05). Among children identified with ASD by the ADDM Network, 82% had a previous ASD diagnosis or educational classification; this did not vary by sex or between non-Hispanic white and non-Hispanic black children. A lower percentage of Hispanic children (78%) had a previous ASD diagnosis or classification compared with non-Hispanic white children (82%) and with non-Hispanic black children (84%). The median age at earliest known comprehensive evaluation was 40 months, and 43% of children had received an earliest known comprehensive evaluation by age 36 months. The percentage of children with an earliest known comprehensive evaluation by age 36 months was similar for boys and girls, but was higher for non-Hispanic white children (45%) compared with non-Hispanic black children (40%) and Hispanic children (39%). INTERPRETATION Overall estimated ASD prevalence was 14.6 per 1,000 children aged 8 years in the ADDM Network sites in 2012. The higher estimated prevalence among sites that reviewed both education and health records suggests the role of special education systems in providing comprehensive evaluations and services to children with developmental disabilities. Disparities by race/ethnicity in estimated ASD prevalence, particularly for Hispanic children, as well as disparities in the age of earliest comprehensive evaluation and presence of a previous ASD diagnosis or classification, suggest that access to treatment and services might be lacking or delayed for some children. PUBLIC HEALTH ACTION The ADDM Network will continue to monitor the prevalence and characteristics of ASD among children aged 8 years living in selected sites across the United States. Recommendations from the ADDM Network include enhancing strategies to 1) lower the age of first evaluation of ASD by community providers in accordance with the Healthy People 2020 goal that children with ASD are evaluated by age 36 months and begin receiving community-based support and services by age 48 months; 2) reduce disparities by race/ethnicity in identified ASD prevalence, the age of first comprehensive evaluation, and presence of a previous ASD diagnosis or classification; and 3) assess the effect on ASD prevalence of the revised ASD diagnostic criteria published in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.
Journal of Autism and Developmental Disorders | 2012
Stepan Melnyk; George J. Fuchs; Eldon G. Schulz; Maya Lopez; Stephen G. Kahler; Jill J. Fussell; Jayne Bellando; Oleksandra Pavliv; Shannon Rose; Lisa Seidel; David W. Gaylor; S. Jill James
Oxidative stress and abnormal DNA methylation have been implicated in the pathophysiology of autism. We investigated the dynamics of an integrated metabolic pathway essential for cellular antioxidant and methylation capacity in 68 children with autism, 54 age-matched control children and 40 unaffected siblings. The metabolic profile of unaffected siblings differed significantly from case siblings but not from controls. Oxidative protein/DNA damage and DNA hypomethylation (epigenetic alteration) were found in autistic children but not paired siblings or controls. These data indicate that the deficit in antioxidant and methylation capacity is specific for autism and may promote cellular damage and altered epigenetic gene expression. Further, these results suggest a plausible mechanism by which pro-oxidant environmental stressors may modulate genetic predisposition to autism.
Annals of Pharmacotherapy | 2002
Cindy D. Stowe; Stephanie F. Gardner; Charles C Gist; Eldon G. Schulz; Thomas G. Wells
OBJECTIVE: To determine whether cardiac indices are altered as assessed by 24-hour ambulatory blood pressure monitoring (ABPM) in male children receiving either chronic methylphenidate or dextroamphetamine/levoamphetamine (Adderall) therapy. METHODS: Boys 7–11 years old who were receiving methylphenidate or Adderall for a minimum of 2 months were asked to participate. Subjects wore ambulatory blood pressure monitors for 24-hour periods both off and on stimulant therapy. RESULTS: Subjects (n = 17; 8 methylphenidate, 9 Adderall) were well matched. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate differed between off and on stimulant therapy (p < 0.05). DBP load calculated from ABPM reference data was increased significantly (9.0% ± 5.6% on and 4.8% ± 4.5% off therapy; p < 0.05) while subjects were taking Adderall. There was a trend toward a greater elevation in blood pressure load during awake hours and a more pronounced decrease during the asleep hours for periods on compared with off-stimulant therapy. This trend resulted in significant (p < 0.05) nocturnal dipping on-stimulant phases compared with off-stimulant therapy for both SBP and DBP (Adderall) and SBP (methylphenidate). Two subjects (1 Adderall, 1 methylphenidate) met the criteria to be considered hypertensive based both on mean awake and 24-hour blood pressure load assessments during their on-treatment period. One additional subject receiving Adderall therapy met the criteria to be considered hypertensive based on blood pressure load criteria while off therapy only. Positive correlation coefficients (p < 0.05) were found when comparing stimulant dose (mg/kg) with the percent change of mean SBP, DBP, and heart rate between off and on therapy (r = 0.56, 0.61, and 0.58, respectively). CONCLUSIONS: These preliminary data suggest that blood pressure and heart rate appear to be altered in male patients while receiving stimulant therapy for attention-deficit hyperactivity disorder. Blood pressure and heart rate screening and monitoring during stimulant therapy to determine whether alterations become clinically significant is encouraged.
Clinical Psychology Review | 1995
Mark C. Edwards; Eldon G. Schulz; Nicholas Long
Abstract The family plays an essential and primary role in the assessment of Attention Deficit Hyperactivity Disorder (ADHD) in children. This article seeks to provide the clinician with an understanding of the families of children with ADHD and how the functioning of the family might impact the outcome of assessment. It does so by discussing the role of the family in the assessment process within the context of current standards of practice, examining the characteristics and functioning of families of children with ADHD, and reviewing the issues in the use of parents and children as informants in the assessment of ADHD. With the latter, the factors which influence parent report, the reliability of parents and children as informants, and the correspondence of parents, children, and other informants are discussed.
Experimental and Clinical Psychopharmacology | 2002
John J. Chelonis; Mark C. Edwards; Eldon G. Schulz; Ronald L. Baldwin; Donna J. Blake; Alyssa Wenger; Merle G. Paule
The effect of stimulant medication on recognition memory was examined in 18 children with attention-deficit/hyperactivity disorder (ADHD). Recognition memory was assessed using a delayed matching-to-sample task at 6 delays ranging from 1 to 32 s. Each child was tested on 2 separate occasions, once 60 to 90 min after taking stimulant medication and the other at least 18 hr after taking medication. Children performed significantly better on medication than off. Stimulant administration significantly increased accuracy and the number of nickel reinforcers earned. Decreases in observing response latency and correct choice response latency occurred after taking stimulant medication. The results indicate that stimulant medication improved recognition memory for children with ADHD.
Clinical Pediatrics | 2002
Jane Williams; May L. Griebel; Gregory B. Sharp; Bernadette Lange; Tonya Phillips; Emily DelosReyes; Stephen Bates; Eldon G. Schulz; Pippa Simpson
on prolonged video-EEG monitoring have been documented.3 Thus, precision in word choice during the clinical history is critical. When diagnostic tests are inconclusive or when children live in areas without ready access to video-EEG monitoring, the dependence on behavioral descriptors is even greater.4 When videoEEG monitoring is available, the cost of monitoring all children with possible epilepsy who have initially normal interictal EEGs is prohibitive. Specific descriptors, which can assist in differentiating between types of spells, are important for practical diagnostic accuracy in a cost-efficient manner in the clinical setting. In a previous study,5 the 40-item Seizure Behavior Checklist was used
Clinical Pediatrics | 2004
Eldon G. Schulz; Gil Buchanan; Eduardo R. Ochoa
A Medical Home provides care to infants, children, and adolescents that is accessible, continuous, comprehensive, family-centered, coordinated, compassionate, and culturally effective. These desirable characteristics are often difficult to assess in a practice. A recent policy statement from the American Academy of Pediatrics provides clarification and functional definitions of these characteristics. Tools and resources are available to aid physicians, clinic administrators and client-families in assessing their clinic’s compliance with Medical Home characteristics, as part of a long-term quality improvement program for their practice.
Clinical Pediatrics | 2005
Mark C. Edwards; Eldon G. Schulz; John J. Chelonis; Eunice S. Gardner; Amanda Philyaw; Jonathan Young
The purpose of this prospective study was to examine the validity and diagnostic utility of unstructured clinic observations of attention deficit hyperactivity disorder (ADHD) behaviors in children. Results showed observations to be related to behavioral ratings of parents but not of teachers. The relationship between observations and parent ratings was stronger for hyperactive-impulsive than inattentive behaviors. The level of agreement between observations and classification of ADHD significantly exceeded chance levels only for parent measures of hyperactivity-impulsivity. Only parent measures predicted a diagnosis of ADHD at a rate that was significantly better than chance. Clinic observations were found to have consistently higher positive predictive power than negative predictive power. Clinical implications are discussed.
Journal of Abnormal Child Psychology | 2007
Mark C. Edwards; Eunice S. Gardner; John J. Chelonis; Eldon G. Schulz; Rebecca A. Flake; Pamela F. Diaz
Clinical Pediatrics | 2001
Jane Williams; Eldon G. Schulz; May L. Griebel