Shirley A. Russ

Patterns of Comorbidity, Functioning, and Service Use for US Children With ADHD, 2007

OBJECTIVE: To determine patterns of comorbidity, functioning, and service use for US children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Bivariate and multivariable cross-sectional analyses were conducted on data from the 2007 National Survey of Childrens Health on 61 779 children ages 6 to 17 years, including 5028 with ADHD. RESULTS: Parent-reported diagnosed prevalence of ADHD was 8.2%. Children with ADHD were more likely to have other mental health and neurodevelopmental conditions. Parents reported that 46% of children with ADHD had a learning disability versus 5% without ADHD, 27% vs 2% had a conduct disorder, 18% vs 2% anxiety, 14% vs 1% depression, and 12% vs 3% speech problems (all P < .05). Most children with ADHD had at least 1 comorbid disorder: 33% had 1, 16% had 2, and 18% had 3 or more. The risk for having 3 or more comorbidities was 3.8 times higher for poor versus affluent children (30% vs 8%). Children with ADHD had higher odds of activity restriction (odds ratio: 4.14 [95% confidence interval: 3.34–5.15]), school problems (odds ratio: 5.18 [95% confidence interval: 4.47–6.01]), grade repetition, and poor parent-child communication, whereas social competence scores were lower and parent aggravation higher. Functioning declined in a stepwise fashion with increasing numbers of comorbidities, and use of health and educational services and need for care coordination increased. CONCLUSIONS: Clinical management of ADHD must address multiple comorbid conditions and manage a range of adverse functional outcomes. Therapeutic approaches should be responsive to each childs neurodevelopmental profile, tailored to their unique social and family circumstances, and integrated with educational, mental health and social support services.

A National Profile of Childhood Epilepsy and Seizure Disorder

OBJECTIVE: To determine sociodemographics, patterns of comorbidity, and function of US children with reported epilepsy/seizure disorder. METHODS: Bivariate and multivariable cross-sectional analysis of data from the National Survey of Children’s Health (2007) on 91 605 children ages birth to 17 years, including 977 children reported by their parents to have been diagnosed with epilepsy/seizure disorder. RESULTS: Estimated lifetime prevalence of epilepsy/seizure disorder was 10.2/1000 (95% confidence interval [CI]: 8.7–11.8) or 1%, and of current reported epilepsy/seizure disorder was 6.3/1000 (95% CI: 4.9–7.8). Epilepsy/seizure disorder prevalence was higher in lower-income families and in older, male children. Children with current reported epilepsy/seizure disorder were significantly more likely than those never diagnosed to experience depression (8% vs 2%), anxiety (17% vs 3%), attention-deficit/hyperactivity disorder (23% vs 6%), conduct problems (16% vs 3%), developmental delay (51% vs 3%), autism/autism spectrum disorder (16% vs 1%), and headaches (14% vs 5%) (all P < .05). They had greater risk of limitation in ability to do things (relative risk: 9.22; 95% CI: 7.56–11.24), repeating a school grade (relative risk: 2.59; CI: 1.52–4.40), poorer social competence and greater parent aggravation, and were at increased risk of having unmet medical and mental health needs. Children with prior but not current seizures largely had intermediate risk. CONCLUSIONS: In a nationally representative sample, children with seizures were at increased risk for mental health, developmental, and physical comorbidities, increasing needs for care coordination and specialized services. Children with reported prior but not current seizures need further study to establish reasons for their higher than expected levels of reported functional limitations.

Lifecourse health development: past, present and future.

During the latter half of the twentieth century, an explosion of research elucidated a growing number of causes of disease and contributors to health. Biopsychosocial models that accounted for the wide range of factors influencing health began to replace outmoded and overly simplified biomedical models of disease causation. More recently, models of lifecourse health development (LCHD) have synthesized research from biological, behavioral and social science disciplines, defined health development as a dynamic process that begins before conception and continues throughout the lifespan, and paved the way for the creation of novel strategies aimed at optimization of individual and population health trajectories. As rapid advances in epigenetics and biological systems research continue to inform and refine LCHD models, our healthcare delivery system has struggled to keep pace, and the gulf between knowledge and practice has widened. This paper attempts to chart the evolution of the LCHD framework, and illustrate its potential to transform how the MCH system addresses social, psychological, biological, and genetic influences on health, eliminates health disparities, reduces chronic illness, and contains healthcare costs. The LCHD approach can serve to highlight the foundational importance of MCH, moving it from the margins of national debate to the forefront of healthcare reform efforts. The paper concludes with suggestions for innovations that could accelerate the translation of health development principles into MCH practice.

Influence of Multiple Social Risks on Children's Health

OBJECTIVE. Social risk factors such as growing up in poverty, racial/ethnic minority status, and maternal depression have been associated with poorer health outcomes for children. This study examined the strength of association of 8 social risk factors, both individually and as part of a cumulative social risk index, on parent-reported child health status. METHODS. We performed an analysis of cross-sectional data from the 2003 National Survey of Childrens Health, a telephone survey of 102353 parents of children aged 0 to 17 years. In bivariate and multivariate logistic regression models, 8 social risk factors were tested as independent predictors of 4 parent-reported child health outcomes: global health status, dental health, socioemotional health, and overweight. These risk factors were combined into a categorical “social risk index” ranging from low risk (0 risk factors) to very high risk (≥6 risk factors), and risk gradients were examined using linear polynomial testing and multivariate logistic regression. RESULTS. The percentage of children in poorer health increased with the number of social risk factors across all health outcomes. More than half of children had ≥2 risk factors, and 24% had ≥4. Low maternal mental health, black or Hispanic race/ethnicity, <200% of the federal poverty level, low household education, unsafe neighborhoods, and lack of health insurance increased the odds for less than very good child health in adjusted models. CONCLUSIONS. Multiple social risk factors have a cumulative effect on parent-reported child health status across physical and socioemotional domains, demonstrating a very strong risk gradient effect. These findings emphasize the importance of addressing multiple levels of social risk to achieve improvements in child health.

Associations between media use and health in US children.

OBJECTIVE Television viewing has been associated with poorer health attributes, but relationships between computer use and health are less clear. The aim of this study was to determine associations between TV and computer use, both separately and combined, and health attributes in US children. METHODS We performed bivariate and multivariate logistic regression analyses of cross-sectional data on 54 863 children ages 6 to 17 years who participated in the National Survey of Childrens Health. Key independent variables were TV, computer, and combined media use; outcome variables were 6 measures of health. RESULTS In models controlling for a wide range of sociodemographic variables, each additional hour of television viewing was associated with greater odds of overweight/obesity (odds ratio [OR] 1.05, 95% confidence interval (95% CI) 1.02-1.08), poorer oral health (OR 1.05, 95% CI 1.02-1.09), social-emotional problems (OR 1.08, 95% CI 1.05-1.11), concern about self-esteem, and lower social competence. Greater computer use was associated only with overweight/obesity (OR 1.04, 95% CI 1.01-1.07). Combined media use showed similar, but weaker, health associations to television viewing alone. Interaction analyses showed that TV viewing was associated with overweight/obesity only for white, not black or Hispanic, children. CONCLUSIONS TV/video use is associated with a broader range of negative physical and social-emotional health attributes than computer use. Associations between media use and health are modest, but persistent at the population level. TV/video use reduction strategies may lead to improved physical and social-emotional population health. However, reductions in TV viewing may have little effect on overweight/obesity in black or Hispanic children. Mechanisms underlying observed health associations need further study.

Qualitative analysis of parents’ experience with early detection of hearing loss

Aims: To determine key themes from parents’ comments on paths to diagnosis and intervention for their children with hearing loss, following introduction of at-risk neonatal hearing screening and modification of distraction test screening for infants not at-risk. Methods: Parents of children born in 1993 in Victoria, Australia, who were eligible for screening via the Victorian Infant Hearing Screening Program and who were subsequently diagnosed with a permanent congenital hearing loss and fitted with hearing aids prior to the year 2000 were asked to complete a semi-structured questionnaire shortly after aid fitting. Two researchers independently analysed parent comments using the constant comparative method. Results: Parents of 82 children (61%) replied to the questionnaire. Themes analysis revealed a generally positive response to neonatal ABR screening, with a mixed response to the distraction test; powerful emotions experienced by parents at diagnosis including denial and shock; frustration arising from delays in diagnosis, and communication difficulties with providers. Special difficulties testing children with other medical and developmental problems, confusion about tympanostomy tube insertion, and difficulty with wearing hearing aids were also reported. Some children had experienced problems in the school setting. Experience of post-diagnostic services was generally positive. Conclusions: Parents need greater support both during the testing of screen failures and at the time of diagnosis. Providers need more training in how to communicate findings to parents, particularly at times when parents are experiencing strong emotions. Parents need more strategies to enable hearing aid wearing in very young children. Some children with additional medical, developmental, and behavioural problems need specialised approaches to testing.

Epidemiology of congenital hearing loss in Victoria, Australia.

The aim of this study was to report the incidence, prevalence and clinical characteristics of congenital hearing loss sufficient to require hearing aid fitting in the first 6 years of life for the 1993 birth cohort of the state of Victoria (population 4.4 million), Australia. In 1993 64 116 infants born in the state of Victoria survived the neonatal period, Subjects included all children with congenital hearing loss for which hearing aids were fitted, at any time up to and including 31 December 1999, when the youngest member of the cohort reached 6 years of age. Data on the degree, type and etiology of hearing loss were available from the Australian Hearing database for all subjects. Sociodemographic and health data were available from the Victorian Infant Hearing Screening Program (VTHSP) and parent questionnaires. The known prevalence of identified congenital hearing loss increased as the cohort aged. By the time the youngest member had reached the age of 6 years, 134 children (78 boys, 56 girls) had been fitted with hearing aids for permanent congenital hearing loss of any degree (2.09/1000). Fifty-four (40%) of these had known mild losses (20–40 dBHL). The prevalence of known moderate or greater loss (>40 dB HL) was 1.12/1000; the data suggest that over 90% could have been delectable by neonatal hearing screening. A further seven children from the birth cohort were fitted with hearing aids due to acquired forms of hearing loss (0.11/1000). The etiology was known in only 57 (43%) congenital cases, with known non-syndromal genetic causes accounting for 21 (37%) of these. This study reports on the prevalence of congenital hearing loss requiring hearing aid fitting for an entire birth cohort. These data indicate the possible yield from neonatal screening, and hence the likely benefit of such screening. For a large proportion of cases, the etiology remains unknown. These data have implications for health service delivery and illustrate the usefulness of a population database in monitoring the prevalence of congenital hearing loss.

Six year effectiveness of a population based two tier infant hearing screening programme

Aims: To determine whether a two tier universal infant hearing screening programme (population based risk factor ascertainment and universal distraction testing) lowered median age of diagnosis of bilateral congenital hearing impairment (CHI) >40 dB HL in Victoria, Australia. Methods: Comparison of whole population birth cohorts pre and post introduction of the Victorian Infant Hearing Screening Program (VIHSP). All babies surviving the neonatal period born in Victoria in 1989 (pre-VIHSP) and 1993 (post-VIHSP) were studied. (1) Pre-1992: distraction test at 7–9 months. (2) Post-1992: infants with risk factors for CHI referred for auditory brain stem evoked response (ABR) assessment; all others screened by modified distraction test at 7–9 months. Results: Of the 1989 cohort (n = 63 454), 1.65/1000 were fitted with hearing aids for CHI by end 1995, compared with 2.09/1000 of the 1993 cohort (n = 64 116) by end 1999. Of these, 79 cases from the 1989 cohort (1.24/1000) and 72 cases from the 1993 cohort (1.12/1000) had CHI >40 dB HL. Median age at diagnosis of CHI >40 dB HL for the 1989 birth cohort was 20.3 months, and for the 1993 cohort was 14.2 months. Median age at diagnosis fell significantly for severe CHI but not for moderate or profound CHI. Significantly more babies with CHI >40 dB HL were diagnosed by 6 months of age in 1993 than in 1989 (21.7% v 6.3%). Compared to the six years pre-VIHSP, numbers aided by six months were consistently higher in the six years post-VIHSP (1.05 per 100 000 births versus 13.4 per 100 000 births per year). Conclusions: VIHSP resulted in very early diagnosis for more infants and lowered median age of diagnosis of severe CHI. However, overall results were disappointing.

Improving Follow-up to Newborn Hearing Screening: A Learning-Collaborative Experience

Although ∼95% of US newborns are now screened for hearing loss at birth, more than half of those who do not pass the screen lack a documented diagnosis. In an effort to improve the quality of the follow-up process, teams from 8 states participated in a breakthrough-series learning collaborative. Teams were trained in the Model for Improvement, a quality-improvement approach that entails setting clear aims, tracking results, identifying proven or promising change strategies, and the use of small-scale, rapid-cycle plan-do-study-act tests of these changes. Parents acted as equal partners with professionals in guiding system improvement. Teams identified promising change strategies including ensuring the correct identification of the primary care provider before discharge from the birthing hospital; obtaining a second contact number for each family before discharge; “scripting” the message given to families when an infant does not pass the initial screening test; and using a “roadmap for families” as a joint communication tool between parents and professionals to demonstrate each familys location on the “diagnostic journey.” A learning-collaborative approach to quality improvement can be applied at a state-system level. Participants reported that the collaborative experience allowed them to move beyond a focus on improving their own service to improving connections between services and viewing themselves as part of a larger system of care. Ongoing quality-improvement efforts will require refinement of measures used to assess improvement, development of valid indicators of system performance, and an active role for families at all levels of system improvement.

Cognitive Ability at Kindergarten Entry and Socioeconomic Status

OBJECTIVE: To examine how gradients in socioeconomic status (SES) impact US children’s reading and math ability at kindergarten entry and determine the contributions of family background, health, home learning, parenting, and early education factors to those gradients. METHODS: Analysis of 6600 children with cognitive assessments at kindergarten entry from the US Early Childhood Longitudinal Birth Cohort Study. A composite SES measure based on parent’s occupation, education, and income was divided into quintiles. Wald F tests assessed bivariate associations between SES and child’s cognitive ability and candidate explanatory variables. A decomposition methodology examined mediators of early cognitive gradients. RESULTS: Average reading percentile rankings increased from 34 to 67 across SES quintiles and math from 33 to 70. Children in lower SES quintiles had younger mothers, less frequent parent reading, less home computer use (27%–84%), and fewer books at home (26–114). Parent’s supportive interactions, expectations for their child to earn a college degree (57%–96%), and child’s preschool attendance (64%–89%) increased across quintiles. Candidate explanatory factors explained just over half the gradients, with family background factors explaining 8% to 13%, health factors 4% to 6%, home learning environment 18%, parenting style/beliefs 14% to 15%, and early education 6% to 7% of the gaps between the lowest versus highest quintiles in reading and math. CONCLUSIONS: Steep social gradients in cognitive outcomes at kindergarten are due to many factors. Findings suggest policies targeting levels of socioeconomic inequality and a range of early childhood interventions are needed to address these disparities.