Optimal outcome in individuals with a history of autism

Background: Although autism spectrum disorders (ASDs) are generally considered lifelong disabilities, literature suggests that a minority of individuals with an ASD will lose the diagnosis. However, the existence of this phenomenon, as well as its frequency and interpretation, is still controversial: were they misdiagnosed initially, is this a rare event, did they lose the full diagnosis, but still suffer significant social and communication impairments or did they lose all symptoms of ASD and function socially within the normal range? Methods: The present study documents a group of these optimal outcome individuals (OO group, n = 34) by comparing their functioning on standardized measures to age, sex, and nonverbal IQ matched individuals with high‐functioning autism (HFA group, n = 44) or typical development (TD group, n = 34). For this study, ‘optimal outcome’ requires losing all symptoms of ASD in addition to the diagnosis, and functioning within the nonautistic range of social interaction and communication. Domains explored include language, face recognition, socialization, communication, and autism symptoms. Results: Optimal outcome and TD groups’ mean scores did not differ on socialization, communication, face recognition, or most language subscales, although three OO individuals showed below‐average scores on face recognition. Early in their development, the OO group displayed milder symptoms than the HFA group in the social domain, but had equally severe difficulties with communication and repetitive behaviors. Conclusions: Although possible deficits in more subtle aspects of social interaction or cognition are not ruled out, the results substantiate the possibility of OO from autism spectrum disorders and demonstrate an overall level of functioning within normal limits for this group.     

Relationships between hours of sleep and health-risk behaviors in US adolescent students

ObjectiveTo examine associations between insufficient sleep (< 8 h on average school nights) and health-risk behaviors.Methods2007 national Youth Risk Behavior Survey data of U.S. high school students (n = 12,154) were analyzed. Associations were examined on weighted data using multivariate logistic regression.ResultsInsufficient sleep on an average school night was reported by 68.9% of students. Insufficient sleep was associated with higher odds of current use of cigarettes (age-adjusted odds ratio [AOR], 1.67; 95% confidence interval [CI], 1.45–1.93), marijuana (AOR, 1.52; 95% CI, 1.31–1.76), and alcohol (AOR, 1.64; 95% CI, 1.46–1.84); current sexual activity (AOR, 1.41; 95% CI, 1.25–1.59); seriously considered attempting suicide (AOR, 1.86; 95% CI, 1.60–2.16); feeling sad or hopeless (AOR, 1.62; 95% CI, 1.43–1.84); physical fighting (AOR, 1.40; 95% CI, 1.24–1.60), not being physically active at least 60 min ≥ 5 days in the past 7 days (AOR, 1.16; 95% CI, 1.04–1.29), using the computer ≥ 3 h/day (AOR, 1.58; 95% CI, 1.38–1.80), and drinking soda/pop > 1 time/day (AOR, 1.14; 95% CI, 1.03–1.28).ConclusionTwo-thirds of adolescent students reported insufficient sleep, which was associated with many health-risk behaviors. Greater awareness of the impact of sleep insufficiency is vital.     

Health Status and Health Insurance Coverage of Women with Live-Born Infants: An Opportunity for Preventive Services After Pregnancy

Most women in the US have access to health care and insurance during pregnancy; however women with Medicaid-paid deliveries lose Medicaid eligibility in the early postpartum period. This study examined the association between health insurance coverage at the time of delivery and health conditions that may require preventive or treatment services extending beyond pregnancy into the postpartum period. We used 2008 Pregnancy Risk Assessment Monitoring System data from 27 states (n = 35,980). We calculated the prevalence of maternal health conditions, including emotional and behavioral risks, by health insurance status at the time of delivery. We used multivariable logistic regression to assess the association between health insurance coverage, whether Medicaid or private, and maternal health status. As compared to women with private health insurance, women with Medicaid-paid deliveries had higher odds of reporting smoking during pregnancy (adjusted odds ratio [AOR]: 1.85, 95 % confidence interval [CI]: 1.56–2.18), physical abuse during pregnancy (AOR: 1.73, 95 % CI: 1.24–2.40), having six or more stressors during pregnancy (AOR: 2.48, 95 % CI: 1.93–3.18), and experiencing postpartum depressive symptoms (AOR: 1.24, 95 % CI: 1.04–1.48). There were no significant differences by insurance status at delivery in pre-pregnancy overweight/obesity, pre-pregnancy physical activity, weight gain during pregnancy, alcohol consumption during pregnancy, or postpartum contraceptive use. Compared to women with private insurance, women with Medicaid-paid deliveries were more likely to experience risk factors during pregnancy such as physical abuse, stress, and smoking, and postpartum depressive symptoms for which continued screening, counseling, or treatment in the postpartum period could be beneficial.     

Longitudinal Analyses of Expressive Language Development Reveal Two Distinct Language Profiles Among Young Children with Autism Spectrum Disorders

Although children with Autism spectrum disorders (ASD) show significant variation in language skills, research on what type(s) of language profiles they demonstrate has been limited. Using growth-curve analyses, we investigated how different groups of young children with ASD show increases in the size of their lexicon, morpho-syntactic production as measured by Brown’s 14 grammatical morphemes, and wh-question complexity, compared to TD children, across six time points. Children with ASD who had higher verbal skills were comparable to TD children on most language measures, whereas the children with ASD who had low verbal skills had flatter trajectories in most language measures. Thus, two distinct language profiles emerged for children with ASD.     

Work-related asthma in the educational services industry: California, Massachusetts, Michigan, and New Jersey, 1993-2000

OBJECTIVES: To characterize work-related asthma (WRA) cases working in the educational services industry identified by state-based occupational disease surveillance systems. METHODS: We examined 2,995 WRA cases reported from 1993 to 2000 to four states: California, Massachusetts, Michigan, and New Jersey. RESULTS: A total of 265 (9%) WRA cases were employed in the educational services industry; 69% of cases were classified as new-onset asthma and 31% as work-aggravated asthma. New-onset asthma cases were further classified as occupational asthma (61%) or as reactive airways dysfunction syndrome (8%). The most frequently reported occupation was teachers and teachers' aides (54%). The most frequently reported agents were indoor air pollutants (28%), unspecified mold (16%), dusts (14%), and cleaning products (7%). CONCLUSIONS: Asthma within the educational services industry is an occupational health problem. The health of school employees should also be considered when initiatives addressing asthma among schoolchildren are instituted. The identification, elimination, and/or control of respiratory hazards are important factors for the protection of staff and students alike.     

Contribution of large genomic BRCA1 alterations to early-onset breast cancer selected for family history and tumour morphology: a report from The Breast Cancer Family Registry

Introduction

Selecting women affected with breast cancer who are most likely to carry a germline mutation in BRCA1 and applying the most appropriate test methodology remains challenging for cancer genetics services. We sought to test the value of selecting women for BRCA1 mutation testing on the basis of family history and/or breast tumour morphology criteria as well as the value of testing for large genomic alterations in BRCA1.

Methods

We studied women participating in the Breast Cancer Family Registry (BCFR), recruited via population-based sampling, who had been diagnosed with breast cancer before the age of 40 years who had a strong family history of breast or ovarian cancer (n = 187) and/or a first primary breast tumour with morphological features consistent with carrying a BRCA1 germline mutation (n = 133; 37 met both criteria). An additional 184 women diagnosed before the age of 40 years who had a strong family history of breast or ovarian cancer and who were not known to carry a germline BRCA1 mutation were selected from among women who had been recruited into the BCFR from clinical genetics services. These 467 women had been screened for BRCA1 germline mutations, and we expanded this testing to include a screen for large genomic BRCA1 alterations using Multiplex Ligation-dependent Probe Amplification.

Results

Twelve large genomic BRCA1 alterations were identified, including 10 (4%) of the 283 women selected from among the population-based sample. In total, 18 (12%), 18 (19%) and 16 (43%) BRCA1 mutations were identified in the population-based groups selected on the basis of family history only (n = 150), the group selected on the basis of tumour morphology only (n = 96) and meeting both criteria (n = 37), respectively.

Conclusions

Large genomic alterations accounted for 19% of all BRCA1 mutations identified. This study emphasises the value of combining information about family history, age at diagnosis and tumour morphology when selecting women for germline BRCA1 mutation testing as well as including a screen for large genomic alterations.