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Objectives. To describe the association between indicators of socioeconomic status (SES) and the prevalence of autism spectrum disorder (ASD) in the United States during the period 2002 to 2010, when overall ASD prevalence among children more than doubled, and to determine whether SES disparities account for ongoing racial and ethnic disparities in ASD prevalence. Methods. We computed ASD prevalence and 95% confidence intervals (CIs) from population-based surveillance, census, and survey data. We defined SES categories by using area-level education, income, and poverty indicators. We ascertained ASD in 13 396 of 1 308 641 8-year-old children under surveillance. Results. The prevalence of ASD increased with increasing SES during each surveillance year among White, Black, and Hispanic children. The prevalence difference between high- and low-SES groups was relatively constant over time (3.9/1000 [95% CI = 3.3, 4.5] in 2002 and 4.1/1000 [95% CI = 3.6, 4.6] in the period 2006–2010). Significant racial/ethnic differences in ASD prevalence remained after stratification by SES. Conclusions. A positive SES gradient in ASD prevalence according to US surveillance data prevailed between 2002 and 2010, and racial and ethnic disparities in prevalence persisted during this time among low-SES children.

Background To examine racial/ethnic and educational inequities in the relationship between state-level restrictive abortion policies and adverse birth outcomes from 2005 to 2015 in the United States. Methods Using a state-level abortion restrictiveness index comprised of 18 restrictive abortion policies, we conducted a retrospective longitudinal analysis examining whether race/ethnicity and education level moderated the relationship between the restrictiveness index and individual-level probabilities of preterm birth (PTB) and low birthweight (LBW). Data were obtained from the 2005–2015 National Center for Health Statistics Period Linked Live Birth-Infant Death Files and analyzed with linear probability models adjusted for individual- and state-level characteristics and state and year fixed-effects. Results Among 2,250,000 live births, 269,253 (12.0%) were PTBs and 182,960 (8.1%) were LBW. On average, states had approximately seven restrictive abortion policies enacted from 2005 to 2015. Black individuals experienced increased probability of PTB with additional exposure to restrictive abortion policies compared to non-Black individuals. Similarly, those with less than a college degree experienced increased probability of LBW with additional exposure to restrictive abortion policies compared to college graduates. For all analyses, inequities worsened as state environments grew increasingly restrictive. Conclusion Findings demonstrate that Black individuals at all educational levels and those with fewer years of education disproportionately experienced adverse birth outcomes associated with restrictive abortion policies. Restrictive abortion policies may compound existing racial/ethnic, socioeconomic, and intersecting racial/ethnic and socioeconomic perinatal and infant health inequities.

While studies report associations between perinatal outcomes and both autism spectrum disorder (ASD) and intellectual disability (ID), there has been little study of ASD with versus without co-occurring ID. We compared perinatal risk factors among 7547 children in the 2006–2010 Autism and Developmental Disability Monitoring Network classified as having ASD + ID, ASD only, and ID only. Children in all three groups had higher rates of preterm birth (PTB), low birth weight, small-for-gestational-age, and low Apgar score than expected based on the US birth cohort adjusted for key socio-demographic factors. Associations with most factors, especially PTB, were stronger for children with ID only than children with ASD + ID or ASD only. Associations were similar for children with ASD + ID and ASD only.

Effective health communication between healthcare providers and patients is a cornerstone of quality healthcare. It underpins trust, comprehension, and patient-informed care. Robust research shows that effective communication, including the use of text messaging for communication can improve maternal/fetal and neonatal outcomes and patient satisfaction, particularly among vulnerable patients. Health information privacy laws that do not evolve with technological advances can inadvertently create barriers to effective health communication, reinforcing perinatal disparities. This is particularly true regarding maternal and child health, where the use of text messaging for patient communication has the potential to make a substantial impact on health disparities. This article explores the complex interplay between health information privacy laws and text messaging, highlighting challenges and examining potential solutions. It stresses the need for consistent health information privacy laws that protect the privacy security of health information for pregnant patients and new mothers, while also aligning with evolving communication technologies.

Autism spectrum disorder (ASD). 2012. 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. 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%). 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. 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.

The portion of newborns delivered before term is considerably higher in the United States than in other developed countries. We compare the array of risk exposures and protective factors common to women across national settings, using national, regional, and international databases, review articles, and research reports. We find that U.S. women have higher rates of obesity, heart disease, and poor health status than women in other countries. This is in part because more U.S. women are exposed to the stresses of racism and income disparity than women in other national settings, and stress loads are known to disrupt physiological functions. Pregnant women in the United States are not at higher risk for preterm birth because of older maternal age or engagement in high-risk behaviors. However, to a greater extent than in other national settings, they are younger and their pregnancies are unintended. Higher rates of multiple gestation pregnancies, possibly related to assisted reproduction, are also a factor in higher preterm birth rates. Reproductive policies that support intentional childbearing and social welfare policies that reduce the stress of income insecurity can be modeled from those in place in other national settings to address at least some of the elevated U.S. preterm birth rate.

Risky sexual behaviors among adolescents can increase adverse outcomes including unplanned pregnancy or contraction or transmission of disease. Adolescents who engage in risky sexual activities are at increased risk for adverse health and social outcomes compared to those who do not engage. Despite declines in adolescent pregnancy and birth rates, the diagnosis of sexually transmitted infections (STIs) is steadily increasing among adolescents. Moreover, African American adolescent boys in the United States, specifically in the southeastern region are disproportionally at greater risk for STIs, and STI diagnosis within this population has increased over time, compared to their white counterparts. This study sought to identify factors associated with condom use among adolescent boys in the Deep South. Using data from the Mobile Youth Survey, a longitudinal adolescent community-based survey, this study assessed the relationship between personal, behavioral, and environmental factors and condom use among African American adolescent boys (14–19 years). Younger participants (14–15 and 16–17) were more likely to use a condom during the last sexual intercourse compared to older participants (18–19 years). High positive attachment to boy/girlfriend was associated with increased condom use. The number of sexual partners, age at their first sexual encounter, recent sexual behavior, and having an STI were also associated with increased condom use among participants. The study provides further insights into factors associated with condom use among African American adolescent boys and results can inform the development of sexual health interventions.

Objectives U.S.-born Hispanic infants have a well-documented health advantage relative to other minority groups. However, little published research has examined racial heterogeneity within the Hispanic population, in relation to health outcomes. The current study aims to explore possible implications of racial identification for the health of U.S. born Hispanic compared to non-Hispanic infants. Methods Data were drawn from 2007 to 2008 NCHS Cohort Linked Live Birth—Infant Death Files, restricted to deliveries of Hispanic black, Hispanic white, non-Hispanic black (NHB) and non-Hispanic white mothers (NHW) (n = 7,901,858). Adjusted odds ratios for first week mortality, neonatal, postneonatal, and overall infant mortality were calculated for each group, using NHW as the reference group. Results : A distinct health gradient was observed in which NHB infants (n = 1,250,222) had the highest risk of first week (aOR 2.29, CI 2.21–2.37), neonatal (aOR 2.23, CI 2.17–2.30), postneonatal (aOR 1.74, CI 1.68–1.81), and infant mortality (aOR 2.05, CI 2.00–2.10) compared to NHW infants (n = 4,578,150). Hispanic black infants (n = 84,377) also experienced higher risk of first-week (aOR 1.28 (1.12–1.47), neonatal (aOR .27, CI 1.13–1.44), postneonatal (aOR 1.34, CI 1.15–1.56), and infant mortality (aOR 1.30, CI 1.18–1.43) compared to both NHW and Hispanic white infants (n = 1,989,109). Conclusions for Practice : Risk of infant mortality varies among Hispanic infants by race, with poorer outcomes experienced by Hispanic black infants. Compared to non-Hispanic infants of the same race, Hispanic black infants experience a smaller health disadvantage and Hispanic white infants have better or similar infant health outcomes. Our findings suggest implications of racial heterogeneity on infant health outcomes, and provide insight into the role of race as a social construct.

ObjectiveTo assess the correlation between infant mortality and extreme prematurity by state.Study designThis ecological study included data on 28,526,534 infants from 2007 to 2013 in all 50 US states and DC using CDC WONDER linked birth and infant death records. Regression analyses determined the correlation between infant and neonatal mortality rates and the proportion of extremely preterm, extremely low birth weight, and black births by state.ResultsState infant and neonatal mortality rates were directly and highly correlated with the proportion of extremely preterm births (infant, r2 = 0.71, P < 0.001; neonatal, r2 = 0.77, P < 0.001) and extremely low birth weight births (r2 = 0.63, P < 0.001; r2 = 0.73, P < 0.001). The proportion of black births also correlated directly with infant and neonatal mortality rates.ConclusionsInterstate variation in infant and neonatal mortality rates are primarily driven by rates of extremely preterm and extremely low birth weight births which is closely related to the proportion of black births.

ObjectiveTo propose a tailored social ecological model for Autism Spectrum Disorders and explore relationships between variables in a large nationally-representative dataset.MethodsA tailored social-ecological model was developed and examined across variables in the 2016/2017 National Survey of Children’s Health. A series of iterative multivariable logistic regressions were performed including individual, family, and community/neighborhood variables. A multivariable logistic regression using state-level fixed effects was performed to understand dynamics related to macro-level policies.ResultsIn the full model, gender, disability severity, certain types of insurance coverage and household income were significantly related to ASD diagnosis. Females had lower odds of a diagnosis compared to males (aOR: 0.27; CI:0.18–0.41). Children with at least one other moderate/severe disability had odds 7.61 higher (CI:5.36–10.82) of a diagnosis than children without moderate/severe disabilities. Children with public insurance only (aOR:1.66; CI:1.14–2.41) or both private and public insurance coverage (aOR: 2.62; CI:1.6–4.16) had higher odds of a diagnosis compared to children with private insurance only. For those who reported it was “somewhat” or “very often” hard to cover basics with their income, odds of a diagnosis were higher compared to those who reported it was “never” or “hardly ever” hard to cover basics (aOR: 1.676; CI:0.21–2.56).Conclusions for PracticePatterns of ASD diagnosis are related to individual and family characteristics. There is some evidence that a child’s environment has some relationship to reported ASD diagnosis. Professionals should be aware of an individual’s environmental factors or context when assessing for ASD.