Elizabeth A. Schilling

Adverse childhood experiences and mental health in young adults: a longitudinal survey

BackgroundAdverse childhood experiences (ACEs) have been consistently linked to psychiatric difficulties in children and adults. However, the long-term effects of ACEs on mental health during the early adult years have been understudied. In addition, many studies are methodologically limited by use of non-representative samples, and few studies have investigated gender and racial differences. The current study relates self-reported lifetime exposure to a range of ACEs in a community sample of high school seniors to three mental health outcomes–depressive symptoms, drug abuse, and antisocial behavior–two years later during the transition to adulthood.MethodsThe study has a two-wave, prospective design. A systematic probability sample of high school seniors (N = 1093) was taken from communities of diverse socioeconomic status. They were interviewed in person in 1998 and over the telephone two years later. Gender and racial differences in ACE prevalence were tested with chi-square tests. Each mental health outcome was regressed on one ACE, controlling for gender, race/ethnicity, and SES to obtain partially standardized regression coefficients.ResultsMost ACEs were strongly associated with all three outcomes. The cumulative effect of ACEs was significant and of similar magnitude for all three outcomes. Except for sex abuse/assault, significant gender differences in the effects of single ACEs on depression and drug use were not observed. However, boys who experienced ACEs were more likely to engage in antisocial behavior early in young adulthood than girls who experienced similar ACEs. Where racial/ethnic differences existed, the adverse mental health impact of ACEs on Whites was consistently greater than on Blacks and Hispanics.ConclusionOur sample of young adults from urban, socio-economically disadvantaged communities reported high rates of adverse childhood experiences. The public health impact of childhood adversity is evident in the very strong association between childhood adversity and depressive symptoms, antisocial behavior, and drug use during the early transition to adulthood. These findings, coupled with evidence that the impact of major childhood adversities persists well into adulthood, indicate the critical need for prevention and intervention strategies targeting early adverse experiences and their mental health consequences.

The impact of cumulative childhood adversity on young adult mental health: measures, models, and interpretations.

Research studies investigating the impact of childhood cumulative adversity on adult mental health have proliferated in recent years. In general, little attention has been paid to the operationalization of cumulative adversity, with most studies operationalizing this as the simple sum of the number of occurrences of distinct events experienced. In addition, the possibility that the mathematical relationship of cumulative childhood adversity to some mental health dimensions may be more complex than a basic linear association has not often been considered. This study explores these issues with 2 waves of data drawn from an economically and racially diverse sample transitioning to adulthood in Boston, Massachusetts, USA. A diverse set of childhood adversities were reported in high school and 3 mental health outcomes -- depressed mood, drug use, and antisocial behavior -- were reported 2 years later during the transition to adulthood. Our results suggest that both operationalization and statistical modeling are important and interrelated and, as such, they have the potential to influence substantive interpretation of the effect of cumulative childhood adversity on adult mental health. In our data, total cumulative childhood adversity was related to depressive symptoms, drug use, and antisocial behavior in a positive curvilinear manner with incremental impact increasing as adversities accumulate, but further analysis revealed that this curvilinear effect was an artifact of the confounding of high cumulative adversity scores with the experience of more severe events. Thus, respondents with higher cumulative adversity had disproportionately poorer mental health because of the severity of the adversities they were exposed to, not the cumulative number of different types of adversities experienced. These results indicate that public health efforts targeting prevention of childhood adversities would best be aimed at the most severe adversities in order to have greatest benefit to mental health in young adulthood.

If you stock it, will they buy it? Healthy food availability and customer purchasing behaviour within corner stores in Hartford, CT, USA

OBJECTIVE Literature on food environments has expanded rapidly, yet most research focuses on stores and community characteristics without integrating customer-level data. The present study combines customer shopping behaviour with store food inventory data. DESIGN Face-to-face interviews were conducted with customers shopping in corner stores to measure food shopping behaviour, household food security and demographics. Store inventories were conducted to measure availability of healthy food in corner stores. Multilevel logistic regression models estimated the probability of customers purchasing a food item given the availability of that item in the store. SETTING Nineteen corner stores in Hartford, CT, USA, average size 669 ft(2) (62.15 m(2)). SUBJECTS Sample of 372 customers. RESULTS The majority of customers were Black or Hispanic (54 % and 40 %, respectively) and 61 % experienced food insecurity. For each additional type of fruits or vegetables available in the store, the estimated odds of a customer purchasing fruits increased by 12 % (P = 0.03) and the odds for purchasing vegetables increased by 15 % (P = 0.01). Customers receiving the Supplemental Nutrition Assistance Program (SNAP) were 1.7 times as likely to purchase fruit as those not receiving SNAP (P = 0.04). Greater availability of reduced-fat milk was not associated with increased likelihood of customers purchasing reduced-fat milk. CONCLUSIONS There is a positive association between fruit and vegetable variety and the probability that a customer purchases fruits and vegetables. Increasing the selection of produce in corner stores may increase their consumption by food-insecure and low-income residents at risk for health disparities. These findings have implications for future store interventions and food policies.

Age Variability in the Association Between Heavy Episodic Drinking and Adolescent Suicide Attempts: Findings From a Large-Scale, School-Based Screening Program

OBJECTIVE Alcohol use is a risk factor for suicidal behavior among adolescents, but it is not clear whether this association is consistent during the adolescent period. This study examined the age-specific associations between heavy episodic drinking (HED) and self-reported suicide attempts in a large and diverse sample of adolescents. METHOD Screening data from 32,217 students, between the ages of 11 and 19 years, in 225 schools were analyzed. Logistic regression analyses estimating the impact of HED on self-reported suicide attempts in the past year were performed. RESULTS Heavy episodic drinking was significantly associated with self-reported suicide attempts (odds ratio 1.78, p <.05) controlling for depressive symptoms. However, there was substantial age variability in this association, with the association between HED and self-reported attempts stronger among younger adolescents. Among youths aged 13 years and younger, those who reported an episode of HED during the past year were roughly 2.6 times more likely to report an attempt than those who did not report HED in the past year, in contrast to 1.2 times among youths aged 18 years and older. CONCLUSIONS Heavy episodic drinking is a clear risk factor for suicidal behavior among younger adolescents, beyond the risk conveyed by depressive symptoms. Further research investigating the bases for increased suicide risk among younger adolescents engaging in HED is warranted. Results provide support to AACAPs practice parameters calling for attention to substance abuse in the assessment of suicide risk and suggest that routine screening for HED by physicians may improve the detection of adolescent suicide risk, particularly among younger adolescents.

Signs of Suicide shows promise as a middle school suicide prevention program

Although the Signs of Suicide (SOS) suicide prevention program has been implemented at both the middle and high school levels, its efficacy has been demonstrated previously only among high school students. The current study evaluated SOS implemented in high military impact middle schools. Compared to controls, SOS participants demonstrated improved knowledge about suicide and suicide prevention, and participants with pretest ideation reported fewer suicidal behaviors at posttest than controls with pretest ideation. These results provide preliminary evidence for SOSs efficacy as a suicide prevention program for middle school students.

Using mHealth technologies to improve the identification of behavioral health problems in urban primary care settings

Introduction: Behavioral health disorders remain under recognized and under diagnosed among urban primary care patients. Screening patients for such problems is widely recommended, yet is challenging to do in a brief primary care encounter, particularly for this socially and medically complex patient population. Methods: In 2013, intervention patients at an urban Connecticut primary clinic were screened for post-traumatic stress disorder, depression, and risky drinking (n = 146) using an electronic tablet-based screening tool. Screening data were compared to electronic health record data from control patients (n = 129) to assess differences in the prevalence of behavioral health problems, rates of follow-up care, and the rate of newly identified cases in the intervention group. Results: Results from logistic regressions indicated that both groups had similar rates of disorder at baseline. Patients in the intervention group were five times more likely to be identified with depression (p < 0.05). Post-traumatic stress disorder was virtually unrecognized among controls but was observed in 23% of the intervention group (p < 0.001). The vast majority of behavioral health problems identified in the intervention group were new cases. Follow-up rates were significantly higher in the intervention group relative to controls, but were low overall. Conclusion: This tablet-based electronic screening tool identified significantly higher rates of behavioral health disorders than have been previously reported for this patient population. Electronic risk screening using patient-reported outcome measures offers an efficient approach to improving the identification of behavioral health problems and improving rates of follow-up care.