This paper studies whether adolescents who are more aware of the risks on substance use in the early teenage years are later less likely to turn into binge drinkers or smokers. It also examines if reduction in substance use, due to high risk perception among adolescents, consequently improves their educational achievement. This research is important for two reasons. First, enhancing risk perception of substance use is an important strategy to prevent the youth from binge drinking and smoking. Second, adolescent substance use and educational achievement are key predictors of adulthood outcomes. We apply a bivariate probit model to a large representative dataset which codes youth risk perception, substance use, and educational attainment. The analysis shows high risk perception lowers the likelihood of substance use among the high school seniors. The resulting low alcohol use increases the chance of attending college and decreases the probability of dropping out of high school. The reduction in cigarette use caused by high risk perception has a similar effect on such two educational outcomes. It also increases high school graduation by 22%. Overall, this study suggests that enhancing recognition on the hazards of substance use is an effective policy intervention to reduce adolescent binge drinking and smoking, as well as improve educational attainment.

PROBLEM:Autism spectrum disorders (ASDs) encompass a spectrum of conditions, including autistic disorder; pervasive developmental disorders, not otherwise specified (PDD-NOS); and Asperger disorder. Impairments associated with ASDs can range from mild to severe. In 2000, in response to increasing public heath concern regarding ASDs, CDC established the Autism and Developmental Disabilities Monitoring (ADDM) Network. The primary objective of this ongoing surveillance system is to track the prevalence and characteristics of ASDs in the United States. ADDM data are useful to understand the prevalence of ASDs and have implications for improved identification, health and education service planning, and intervention for children with ASDs. Because complete, valid, timely, and representative prevalence estimates are essential to inform public health responses to ASDs, evaluating the effectiveness and efficiency of the ADDM methodology is needed to determine how well these methods meet the network's objective.REPORTING PERIOD:2002.DESCRIPTION OF SYSTEM:The ADDM Network is a multiple-source, population-based, active system for monitoring ASDs and other developmental disabilities. In 2002, data were collected from 14 collaborative sites. This report describes an evaluation conducted using guidelines established by CDC for evaluating public health surveillance systems and is based on examination of the following characteristics of the ADDM Network surveillance system: simplicity, flexibility, data quality, acceptability, representativeness, sensitivity, predictive value positive (PVP), timeliness, stability, data confidentiality and security, and sources of variability.RESULTS AND INTERPRETATION:Using multiple sources for case ascertainment strengthens the system's representativeness, sensitivity, and flexibility, and the clinician review process aims to bolster PVP. Sensitivity and PVP are difficult to measure, but the ADDM methodology provides the best possible estimate currently available of prevalence of ASDs without conducting complete population screening and diagnostic clinical case confirmation. Although the system is dependent on the quality and availability of information in evaluation records, extensive quality control and data cleaning protocols and missing records assessments ensure the most accurate reflection of the records reviewed. Maintaining timeliness remains a challenge with this complex methodology, and continuous effort is needed to improve timeliness and simplicity without sacrificing data quality. The most difficult influences to assess are the effects of changes in diagnostic and treatment practices, service provision, and community awareness. Information sharing through education and outreach with site-specific stakeholders is the best mechanism for understanding the current climate in the community with respect to changes in service provision and public policy related to ASDs, which can affect prevalence estimates.PUBLIC HEALTH ACTIONS:These evaluation results and descriptions can be used to help interpret the ADDM Network 2002 surveillance year data and can serve as a model for other public health surveillance systems, especially those designed to monitor the prevalence of complex disorders.

PROBLEM/CONDITION:In the United States, developmental disabilities affect approximately 17% of children aged <18 years, resulting in substantial financial and social costs. REPORTING PERIOD:1996 and 2000. DESCRIPTION OF SYSTEM:The Metropolitan Atlanta Developmental Disabilities Surveillance Program (MADDSP) monitors the occurrence of mental retardation, cerebral palsy, hearing loss, vision impairment, and autism spectrum disorders among children aged 8 years in the five-county metropolitan Atlanta area (Clayton, Cobb, DeKalb, Fulton, and Gwinnett). MADDSP uses a multiple source ascertainment methodology. RESULTS:During 1996, the prevalence of mental retardation was 15.5 per 1,000 children aged 8 years; it decreased to 12.0 per 1,000 in 2000. The overall prevalence of cerebral palsy was 3.6 per 1,000 in 1996 and 3.1 per 1,000 in 2000. The prevalence of mental retardation and cerebral palsy was highest among males and black children. The prevalence of hearing loss was 1.4 per 1,000 in 1996 and 1.2 per 1,000 in 2000; the prevalence of vision impairment during 1996 was 1.4 per 1,000 and 1.2 per 1,000 in 2000. Minimal differences by study year were observed in the prevalence of all four disabilities when examined by sex, race, and severity. INTERPRETATION:The prevalence of these four select developmental disabilities in MADDSP was higher in 1996 than the annual average prevalence estimates for these disabilities during previous MADDSP study years (1991-1994) study years; the highest increase was observed among children with mental retardation. However, prevalence estimates during 2000 were more consistent with the estimates from the early 1990s. Data from additional surveillance years (2002 and beyond) are needed to determine if the prevalence for 1996 was an anomaly and to continue to monitor trends in the prevalence of developmental disabilities over time. PUBLIC HEALTH ACTIONS:MADDSP data will continue to be used to examine trends in the occurrence of these disabilities over time, facilitate the development and implementation of appropriate intervention programs, and provide a framework for conducting population-based etiologic studies.

A significant number of college women are at risk for alcohol-exposed pregnancy (AEP) owing to binge drinking paired with using contraception ineffectively. This article describes a randomized controlled trial of a one-session motivational interviewing-based intervention to reduce AEP risk among college women and presents 1-month outcomes demonstrating the early impact of this intervention. There were 228 female students from a mid-Atlantic urban university enrolled in the trial. Eligibility criteria were being in the age range of 18–24 years and being at risk for AEP. Risk for AEP was defined as having sexual intercourse with a man in the past 90 days while using contraception ineffectively (no use, incorrect use of an effective method, or use of an ineffective method only); drinking at risky levels was defined as engaging in at least one binge in the past 90 days or consuming an average of eight standard drinks per week. One-month outcome data were available for 212 of the 228 enrolled women (a follow-up rate of 93%), with complete data available for 105 women assigned to the control condition and 94 assigned to the intervention condition. At 1-month follow-up, 15% of the control subjects and 25% of the intervention women reported no risk drinking, a significant difference favoring the intervention group. Significantly fewer control subjects (48%) used effective contraception at 1-month follow-up as compared with intervention women (64%), χ2(1) = 5.1, p < .03. Significantly more intervention women (74%) were no longer at risk for AEP at 1 month as compared with control subjects (54%), χ2(1) = 8.15, p < .005. Factors that were associated with continued AEP risk at 1-month follow-up were a higher number of standard drinks per day consumed in the month prior to baseline (odds ratio, 1.1) and assignment to the control condition (odds ratio, 2.9). The risks of unintended pregnancy and AEP among drinking women in college merit greater prevention efforts. The results of this study show the promise of one preventive intervention that warrants additional study.