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Background This study aimed to develop an efficient and easily calculable risk score that can be used to identify an individual's risk of having been exposed to alcohol prenatally. Methods Data for this study were collected as part of the Collaborative Initiative on Fetal Alcohol Spectrum Disorders, Phases 2 and 3. Two cohorts (ages 5 to 17 years) completed a comprehensive neurobehavioral battery and a standard dysmorphology exam: a development cohort (DC; n = 325) and a comparative cohort (CC; n = 523). Both cohorts included two groups: those with histories of heavy prenatal alcohol exposure (AE‐DC, n = 121; AE‐CC, n = 177) and a control group that included subjects with minimal or no prenatal alcohol exposure (CON‐DC, n = 204; CON‐CC, n = 346). Behavioral assessments and physical exam data were combined using regression techniques to derive a risk score indicating the likelihood of prenatal alcohol exposure. Subjects were then divided into two subgroups: (1) low risk and (2) high risk. Chi‐square (χ2) determined classification accuracy and ROC curves were produced to assess the predictive accuracy. Correlations between risk scores and intelligence quotient and executive function scores were calculated. Results Subjects were accurately classified in the DC (χ2 = 78.61, p < 0.001) and CC (χ2 = 86.63, p < 0.001). The classification model also performed well in the DC (ROC = 0.835 [SE = 0.024, p < 0.001]) and CC (ROC = 0.786 [SE = 0.021, p < 0.001]). In the AE‐CC and CON‐CC, there were modest but significant associations between the risk score and executive function (AE‐CC: r = −0.20, p = 0.034; CON‐CC: r = −0.28, p < 0.001) and intelligence quotient (AE‐CC: r = −0.20, p = 0.034; CON‐CC: r = −0.28, p < 0.001). Conclusion(s) The risk score significantly distinguished alcohol‐exposed from control subjects and correlated with important cognitive outcomes. It has significant clinical potential and could be easily deployed in clinical settings.

The identification and management of caregiver burden are important considerations for a comprehensive cancer care program. Addressing the needs of the cancer caregiver, who is at heightened risk for various psychological, physical, financial, and social problems, is increasingly vital.

Understanding factors correlated with breath alcohol concentration (BrAC) at time of arrest for driving under the influence (DUI) may lead to informed rehabilitation programs. This study describes correlations between BrAC at time of arrest and sociodemographic, mental, and physical health, and alcohol-related characteristics among clients in a large California DUI Program. Client reported data ( n = 17,282) were collected at an intake from 2009 to 2014. BrACs ranged from 0.083% to 0.390%, with an average of 0.159% ( SD = 0.051), almost twice the legal limit in the state. Approximately 10.6% of the variance in BrAC was explained by 11 significant correlates. Two sociodemographic factors (age and race/ethnicity) as well as several alcohol-related characteristics were related to higher BrAC levels, whereas comorbid mental and physical health factors played less of a role. Factors associated with BrAC are complex and warrant further investigation to identify causality and inform future interventions.