Many women who survive breast cancer die of causes unrelated to their cancer diagnosis. This study was undertaken to assess factors that are related to breast cancer mortality versus mortality from other causes and to describe the leading causes of death among older women diagnosed with breast cancer.

Objective: We assessed the prevalence of autism spectrum disorders (ASD) and screening test characteristics in children with Down syndrome. Method: Eligible children born in a defined geographic area between January 1, 1996, and December 31, 2003, were recruited through a population-based birth defects registry and community outreach, then screened with the modified checklist for autism in toddlers or social communication questionnaire, as appropriate. Screen-positive children and a random sample of screen-negative children underwent developmental evaluation. Results: We screened 123 children (27.8% of the birth cohort). Mean age was 73.4 months (range, 31–142). Compared to screen-negative children, screen-positive children had similar sociodemographic characteristics but a lower mean developmental quotient (mean difference: 11.0; 95% confidence interval: 4.8–17.3). Weighted prevalences of autistic disorder and total ASD were 6.4% (95% confidence interval [CI]: 2.6%–11.6%) and 18.2% (95% CI: 9.7%–26.8%), respectively. The estimated minimum ASD prevalence, accounting for unscreened children, is 5.1% (95% CI: 3.3%–7.4%). ASD prevalence increased with greater cognitive impairment. Screening test sensitivity was 87.5% (95% CI: 66.6%–97.7%); specificity was 49.9% (95% CI: 37.0%–61.4%). Conclusion: The prevalence of ASD among children with Down syndrome aged 2 to 11 years is substantially higher than in the general population. The modified checklist for autism in toddlers and social communication questionnaire were highly sensitive in children with Down syndrome but could result in many false positive tests if universal screening were implemented using current algorithms. Research needs include development of specific ASD screening algorithms and improved diagnostic discrimination in children with Down syndrome. Timely identification of these co-occurring diagnoses is essential so appropriate interventions can be provided.

Emerging evidence suggests that atypical changes in driving behaviors may be early signals of mild cognitive impairment (MCI) and dementia. This study aims to assess the utility of naturalistic driving data and machine learning techniques in predicting incident MCI and dementia in older adults. Monthly driving data captured by in-vehicle recording devices for up to 45 months from 2977 participants of the Longitudinal Research on Aging Drivers study were processed to generate 29 variables measuring driving behaviors, space and performance. Incident MCI and dementia cases (n = 64) were ascertained from medical record reviews and annual interviews. Random forests were used to classify the participant MCI/dementia status during the follow-up. The F₁ score of random forests in discriminating MCI/dementia status was 29% based on demographic characteristics (age, sex, race/ethnicity and education) only, 66% based on driving variables only, and 88% based on demographic characteristics and driving variables. Feature importance analysis revealed that age was most predictive of MCI and dementia, followed by the percentage of trips traveled within 15 miles of home, race/ethnicity, minutes per trip chain (i.e., length of trips starting and ending at home), minutes per trip, and number of hard braking events with deceleration rates ≥ 0.35 g. If validated, the algorithms developed in this study could provide a novel tool for early detection and management of MCI and dementia in older drivers.

Subject matter experts systematically reviewed evidence on the effectiveness of housing interventions that affect safety and injury outcomes, such as falls, fire-related injuries, burns, drowning, carbon monoxide poisoning, heat-related deaths, and noise-related harm, associated with structural housing deficiencies. Structural deficiencies were defined as those deficiencies for which a builder, landlord, or homeowner would take responsibility (ie, design, construction, installation, repair, monitoring). Three of the 17 interventions reviewed had sufficient evidence for implementation: installed, working smoke alarms; 4-sided isolation pool fencing; and preset safe hot water temperature. Five interventions needed more field evaluation, 8 needed formative research, and 1 was found to be ineffective. This evidence review shows that housing improvements are likely to help reduce burns and scalds, drowning in pools, and fire-related deaths and injuries.