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Dive into the research topics where Jennifer Pinto-Martin is active.

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Featured researches published by Jennifer Pinto-Martin.


Journal of the American Academy of Child and Adolescent Psychiatry | 2002

Race differences in the age at diagnosis among medicaid-eligible children with autism.

David S. Mandell; John Listerud; Susan E. Levy; Jennifer Pinto-Martin

OBJECTIVE To examine racial differences in the age at which Medicaid-eligible children first receive an autistic disorder (AD) diagnosis and to examine time in mental health treatment until an AD diagnosis was received. METHOD Philadelphia Medicaid specialty mental health claims identified 406 children who received services in 1999 for AD. Claims from 1993-1999 were used to identify the date of first mental health visit, first receipt of AD diagnosis, and number of visits occurring between those dates. Linear regression was used to examine the relationship among race, age at first diagnosis of AD, time in mental health treatment, and number of visits until the diagnosis was made. RESULTS On average, white children received the AD diagnosis at 6.3 years of age, compared with 7.9 years for black children (p <.001). White children entered the mental health system at an earlier age (6.0 versus 7.1 years, p =.005); however, after adjusting for age, sex, and time eligible for Medicaid, black children required more time in treatment before receiving the diagnosis. CONCLUSIONS Important disparities exist in the early detection and treatment of autism. These disparities may be the result of differences in help-seeking, advocacy and support, and clinician behaviors.


Journal of the American Academy of Child and Adolescent Psychiatry | 2009

Timing of Identification Among Children With an Autism Spectrum Disorder: Findings From a Population-Based Surveillance Study

Paul T. Shattuck; Maureen S. Durkin; Matthew J. Maenner; Craig J. Newschaffer; David S. Mandell; Lisa D. Wiggins; Li Ching Lee; Catherine Rice; Ellen Giarelli; Russell S. Kirby; Jon Baio; Jennifer Pinto-Martin; Christopher Cuniff

OBJECTIVE At what age are children with an autism spectrum disorder (ASD) identified by community providers? What factors influence the timing of when children are identified with ASDs? This study examined the timing of when children with ASDs are identified. METHOD Data came from 13 sites participating in the Centers for Disease Control and Preventions 2002 multisite ongoing autism surveillance program, the Autism and Developmental Disabilities Monitoring Network. Survival analysis was used to examine factors that influence the timing of community-based identification and diagnosis. RESULT Data from health and education records reveal that the median age of identification was 5.7 years (SE 0.08 years). Parametric survival models revealed that several factors were associated with a younger age of identification: being male, having an IQ of 70 or lower, and having experienced developmental regression. Significant differences in the age of identification among the 13 sites were also discovered. CONCLUSIONS The large gap between the age at which children can be identified and when they actually are identified suggests a critical need for further research, innovation, and improvement in this area of clinical practice.


The Lancet | 2001

Behavioural problems in children who weigh 1000 g or less at birth in four countries.

Elysée T.M. Hille; A. Lya Den Ouden; Saroj Saigal; Dieter Wolke; Michael Canute Lambert; Agnes H. Whitaker; Jennifer Pinto-Martin; Lorraine Hoult; Renate Meyer; Judith F. Feldman; S. Pauline Verloove-Vanhorick; Nigel Paneth

BACKGROUND The increased survival chances of extremely low-birthweight (ELBW) infants (weighing <1000 g at birth) has led to concern about their behavioural outcome in childhood. In reports from several countries with different assessments at various ages, investigators have noted a higher frequency of behavioural problems in such infants, but cross-cultural comparisons are lacking. Our aim was to compare behavioural problems in ELBW children of similar ages from four countries. METHODS We prospectively studied 408 ELBW children aged 8-10 years, whose parents completed the child behaviour checklist. The children came from the Netherlands, Germany, Canada, and USA. The checklist provides a total problem score consisting of eight narrow-band scales. Of these, two (aggressive and delinquent behaviour) give a broad-band externalising score, three (anxious, somatic, and withdrawn behaviour) give a broad-band internalising score, and three (social, thought, and attention problems) indicate difficulties fitting neither broad-band dimension. For each cohort we analysed scores in ELBW children and those in normal- birthweight controls (two cohorts) or national normative controls (two cohorts). Across countries, we assessed deviations of the ELBW children from normative or control groups. FINDINGS ELBW children had higher total problem scores than normative or control children, but this increase was only significant in European countries. Narrow-band scores were raised only for the social, thought, and attention difficulty scales, which were 0.5-1.2 SD higher in ELBW children than in others. Except for the increase in internalising scores recorded for one cohort, ELBW children did not differ from normative or control children on internalising or externalising scales. INTERPRETATION Despite cultural differences, types of behavioural problems seen in ELBW children were very similar in the four countries. This finding suggests that biological mechanisms contribute to behavioural problems of ELBW children.


PLOS ONE | 2010

Socioeconomic inequality in the prevalence of autism spectrum disorder: evidence from a U.S. cross-sectional study.

Maureen S. Durkin; Matthew J. Maenner; F. John Meaney; Susan E. Levy; Carolyn DiGuiseppi; Joyce S. Nicholas; Russell S. Kirby; Jennifer Pinto-Martin; Laura A. Schieve

Background This study was designed to evaluate the hypothesis that the prevalence of autism spectrum disorder (ASD) among children in the United States is positively associated with socioeconomic status (SES). Methods A cross-sectional study was implemented with data from the Autism and Developmental Disabilities Monitoring Network, a multiple source surveillance system that incorporates data from educational and health care sources to determine the number of 8-year-old children with ASD among defined populations. For the years 2002 and 2004, there were 3,680 children with ASD among a population of 557 689 8-year-old children. Area-level census SES indicators were used to compute ASD prevalence by SES tertiles of the population. Results Prevalence increased with increasing SES in a dose-response manner, with prevalence ratios relative to medium SES of 0.70 (95% confidence interval [CI] 0.64, 0.76) for low SES, and of 1.25 (95% CI 1.16, 1.35) for high SES, (P<0.001). Significant SES gradients were observed for children with and without a pre-existing ASD diagnosis, and in analyses stratified by gender, race/ethnicity, and surveillance data source. The SES gradient was significantly stronger in children with a pre-existing diagnosis than in those meeting criteria for ASD but with no previous record of an ASD diagnosis (p<0.001), and was not present in children with co-occurring ASD and intellectual disability. Conclusions The stronger SES gradient in ASD prevalence in children with versus without a pre-existing ASD diagnosis points to potential ascertainment or diagnostic bias and to the possibility of SES disparity in access to services for children with autism. Further research is needed to confirm and understand the sources of this disparity so that policy implications can be drawn. Consideration should also be given to the possibility that there may be causal mechanisms or confounding factors associated with both high SES and vulnerability to ASD.


Journal of Developmental and Behavioral Pediatrics | 2003

Use of complementary and alternative medicine among children recently diagnosed with autistic spectrum disorder.

Susan E. Levy; David S. Mandell; Stephanie Merhar; Richard F. Ittenbach; Jennifer Pinto-Martin

ABSTRACT. This study examined the prevalence and correlates of use of different types of complementary and alternative medicine (CAM) among a sample of children with suspected or recently diagnosed autism. The authors’ review of 284 charts of children seen at the Regional Autism Center of The Children’s Hospital of Philadelphia, Pennsylvania, found that more than 30% of children were using some CAM, and that 9% were using potentially harmful CAM. Having an additional diagnosis was protective against CAM use and being Latino was associated with CAM use. Having seen a prior provider regarding the child’s health condition was predictive of potentially harmful CAM use. Further research is required on cultural differences in treatment decisions about CAM, as well as the reasons for the association between the use of prior providers and CAM. The high prevalence of CAM use among a recently diagnosed sample indicates that clinicians should discuss CAM early in the assessment process.


Disability and Health Journal | 2010

Sex differences in the evaluation and diagnosis of autism spectrum disorders among children

Ellen Giarelli; Lisa D. Wiggins; Catherine Rice; Susan E. Levy; Russell S. Kirby; Jennifer Pinto-Martin; David S. Mandell

BACKGROUND One of the most consistent features of the autism spectrum disorders (ASDs) is the predominance among males, with approximately four males to every female. We sought to examine sex differences among children who met case definition for ASD in a large, population-based cohort with respect to age at first developmental evaluation, age of diagnosis, influence of cognitive impairment on these outcomes, and sex-specific behavioral characteristics. METHODS We conducted a secondary analysis of data collected for a population-based study of the prevalence of ASD. The sample comprised 2,568 children born in 1994 who met the case definition of ASD as established by the Autism and Developmental Disabilities Monitoring (ADDM) Network for ASD surveillance. Children who had a history of developmental disability and behavioral features consistent with the DSM-IV-TR criteria for autistic disorder, Aspergers disorder, and Pervasive Developmental Disorder-Not Otherwise Specified in existing evaluation records were classified as ASD cases via two paths: streamlined and nonstreamlined. Streamlined reviews were conducted if there was an ASD diagnosis documented in the records. Data were collected in 13 sites across the United States through the ADDM Network, funded by the Centers for Disease Control and Prevention. RESULTS Males constituted 81% of the sample. There were no differences by sex in average age at first evaluation or average age of diagnosis among those with an existing documented chart diagnosis of an ASD. Girls were less likely than boys to have a documented diagnosis (odds ratio [OR] = 0.76, p = .004). This analysis was adjusted for cognitive impairment status. In the logistic model, with the interaction term for sex and cognitive impairment, girls with IQ of 70 or less were less likely than boys with IQ of 70 or less to have a documented diagnosis (OR = 0.70, 95% confidence interval [CI] = 0.50-0.97, p = .035). Boys with IQ greater than 70 were less likely than boys with IQ of 70 or less to have a documented diagnosis (OR = 0.60, 95% CI = 0.49-0.74, p < .001). This finding (less likely to have a documented diagnosis) was also true for girls with IQ greater than 70 (OR = 0.45, 95% CI = 0.32-0.66, p < .001). Girls were more likely to have notations of seizure-like behavior (p < .001). Boys were more likely to have notations of hyperactivity or a short attention span and aggressive behavior (p < .01). CONCLUSIONS Girls, especially those without cognitive impairment, may be formally identified at a later age than boys. This may delay referral for early intervention. Community education efforts should alert clinicians and parents to the potential of ASDs in boys and girls.


Pediatrics | 2011

Prevalence of Autism Spectrum Disorder in Adolescents Born Weighing <2000 Grams

Jennifer Pinto-Martin; Susan E. Levy; Judith F. Feldman; John M. Lorenz; Nigel Paneth; Agnes H. Whitaker

OBJECTIVE: To estimate the diagnostic prevalence of autism spectrum disorders (ASDs) in a low birth weight (LBW) cohort. METHODS: Participants belonged to a regional birth cohort of infants (N = 1105) born weighing <2000 g between October 1, 1984, and July 3, 1989, and followed up by periodic assessments to 21 years of age. At 16 years (n = 623), adolescents were screened for ASD using a wide net (previous professional diagnosis of an ASD or a score above a liberal cutoff on the Social Communication Questionnaire or the Autism Spectrum Symptoms Questionnaire). At 21 years (n = 189), 60% of screen positives and 24% of screen negatives were assessed for diagnoses of ASD by the Autism Diagnostic Observation Schedule or the Autism Diagnostic Interview–Revised. RESULTS: Samples retained at ages 16 and 21 years were representative of samples assessed at earlier ages except for lower levels of social risk. Of positive screens, 11 of 70 had ASD; of negative screens, 3 of 119 had ASD. The fractions of the 2 screening groups with ASD (14.3% in screen-positives and 2.5% in screen negatives) were weighted by fractions of screen-positives and screen-negatives among the adolescents (18.8% and 81.2%, respectively). This calculation produced an estimated prevalence rate of ASD in the entire cohort of 5% (31 of 623). CONCLUSIONS: The diagnostic prevalence of ASD in this LBW preterm cohort was higher than that reported by the Centers for Disease Control and Prevention for 8-year-olds in the general US population in 2006.


Biological Psychiatry | 2007

Relationship of Dietary Intake to Gastrointestinal Symptoms in Children with Autistic Spectrum Disorders

Susan E. Levy; Margaret C. Souders; Richard F. Ittenbach; Ellen Giarelli; Andrew E. Mulberg; Jennifer Pinto-Martin

BACKGROUND Gastrointestinal (GI) symptoms and abnormalities in stool consistency are frequently reported by parents of children with autism spectrum disorders (ASD). The purpose of this study was to 1) describe dietary intake of a cohort of children with ASD compared with normative data and 2) determine whether GI symptoms and stool consistency are related to dietary intake. METHODS Data from diet diaries of children (3-8 years) with ASD (n = 62) were analyzed by a registered pediatric dietician to compare to RDA standards for total calories, protein, carbohydrate, and fat. Dietary intake was correlated with descriptors of stool consistency using cumulative logistic regression methods. RESULTS Intake of calories, carbohydrates, and fat were in the average range; protein intake was increased (211% of RDA). Reported frequency of GI abnormalities, including abnormal stool consistency (e.g., bulky or loose), was increased (54%). No statistically significant relationships between stool consistency and dietary intake were observed. CONCLUSIONS In this sample, there was a high rate of reported gastrointestinal symptoms, despite lack of medical causes. Intake was adequate for calories and carbohydrates and increased for protein. The children did not exhibit excessive carbohydrate intake. There was no association of nutrient intake to changes in stool consistency.


Developmental Medicine & Child Neurology | 1999

Relation of cranial ultrasound abnormalities in low-birthweight infants to motor or cognitive performance at ages 2, 6, and 9 years.

Jennifer Pinto-Martin; Agnes H. Whitaker; Judith F. Feldman; Ronan Van Rossem; Nigel Paneth

This study sought to determine whether neonatal cranial ultrasound abnormalities are related to motor and cognitive outcomes in low‐birthweight (LBW, <2000g) children without major motor or cognitive disability. The relation of neonatal cranial ultrasound abnormalities to motor performance and general cognitive ability at ages 2, 6, and 9 years was examined in a prospectively followed regional cohort of LBW children, excluding those with major disability, and controlling for other risk factors. Compared with children without ultrasound abnormalities, children with abnormalities indicative of ischemic white‐matter injury had poorer motor performance at all three ages and, at age 2, lower general cognitive ability. The latter finding was not seen when motor performance was also controlled for. It was concluded that in LBW children without major motor or cognitive disability, ischemic white‐matter injury indicated by neonatal cranial ultrasound abnormalities adversely affected motor performance at ages 2, 6, and 9 years, but not general cognitive ability.


Pediatrics | 2013

Effectiveness of Developmental Screening in an Urban Setting

James P. Guevara; Marsha Gerdes; Russell Localio; Yuanshung V. Huang; Jennifer Pinto-Martin; Cynthia S. Minkovitz; Diane Hsu; Lara Kyriakou; Sofia Baglivo; Jane Kavanagh; Susmita Pati

OBJECTIVE: To determine the effectiveness of developmental screening on the identification of developmental delays, early intervention (EI) referrals, and EI eligibility. METHODS: This randomized controlled, parallel-group trial was conducted from December 2008 to June 2010 in 4 urban pediatric practices. Children were eligible if they were <30 months old, term, without congenital malformations or genetic syndromes, not in foster care, and not enrolled in EI. Children were randomized to receive 1 of the following: (1) developmental screening using Ages and Stages Questionnaire-II (ASQ-II and Modified Checklist for Autism in Toddlers (M-CHAT) with office staff assistance, (2) developmental screening using ASQ-II and M-CHAT without office staff assistance, or (3) developmental surveillance using age-appropriate milestones at well visits. Outcomes were assessed using an intention-to-treat analysis. RESULTS: A total of 2103 children were enrolled. Most were African-American with family incomes less than

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Nigel Paneth

Michigan State University

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Susan E. Levy

Children's Hospital of Philadelphia

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Judith F. Feldman

Albert Einstein College of Medicine

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Ellen Giarelli

University of Pennsylvania

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David S. Mandell

University of Pennsylvania

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Jianghong Liu

University of Pennsylvania

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Julie L. Daniels

University of North Carolina at Chapel Hill

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Linda McCauley

University of Pennsylvania

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