Impact of adverse childhood experiences (ACEs) on adult alcohol consumption behaviors.

BACKGROUND: Long term negative physical and mental health problems occur from the lack of appropriate interventions targeting the adult population who experienced adverse childhood experiences (ACEs) and partake in risky alcohol consumption behaviors. OBJECTIVE: This study aimed to identify the risk for alcohol consumption behaviors, specifically binge drinking (BD) and any drinking (AD), among adults with a history of adverse childhood experiences (ACEs). METHODS: Behavioral Risk Factor Surveillance System (BRFSS) 2011-2012 data were used. Descriptive statistics were completed followed by simple and multiple logistic regression to determine the strength of association between ACEs and alcohol consumption, controlling for sociodemographic factors. RESULTS: The final adjusted sample size was 69,793. Adults who experienced household abuse were 30% more likely to BD (Odds Ratio (OR): 1.30, 95% Confidence Interval (CI): 1.20-1.41) and 21% more likely for AD (OR: 1.21, 95% CI: 1.14-1.28) in the past month. Males were over two times more likely to BD (OR: 2.12, 95% CI: 1.96-2.29) and 60% more likely for AD (OR: 1.60, 95% CI: 1.51-1.69) in the past month compared to females. Individuals who completed some college were at higher risk of BD (OR: 1.51, 95% CI: 1.26-1.82), whereas those who graduated college were nearly two and a half times more likely to report AD in the past month (OR: 2.27, 95% CI: 1.99-2.59) compared to individuals with less than high school education. CONCLUSION: Adults who experienced household abuse, are male, or possess at least some college education are at increased risk for BD and AD.

Changes in risk perceptions during the 2014 Ebola virus disease epidemic: results of two consecutive surveys among the general population in Lower Saxony, Germany.

BACKGROUND: The Ebola virus disease (EVD) outbreak 2014 received extensive news media coverage, which faded out before the outbreak ended. News media coverage impacts risk perception; it is, however, unclear if the components of risk perception (affective and cognitive responses) change differently over time. METHODS: In an online panel, we asked participants (n = 1376) about EVD risk perceptions at the epidemic's peak (November 2014) and after news media coverage faded out (August 2015). We investigated worry (affective response), perceived likelihood of infection, perceived personal impact, and coping efficacy (dimensions of cognitive response), and knowledge about transmission. Differences between the surveys with respect to manifestations of affective and cognitive dimensions were tested using the Wilcoxon signed-rank test. The association between individual change in knowledge and worries about EVD in the first survey was investigated using linear regression. RESULTS: In November 2014, the survey was filled in by 974 participants. Ten months later, 662 of them were still members of the online panel and were invited to the follow-up survey. Among the 620 respondents, affective response decreased between the surveys. Knowledge about EVD also decreased; however, participants worried about EVD in 2014 had increased knowledge in 2015. Perceived likelihood of infection decreased over time, while perceived personal impact and coping efficacy did not. CONCLUSIONS: Risk communication appealing to cognitive reactions by informing clearly on the risk of infection in unaffected countries may decrease inappropriate behaviors.

Perceptions of Zika virus risk in Germany in 2016.

Background: Risks associated with Zika virus (ZIKV) transmission in the Americas have been discussed widely in the media as several European athletes declined to participate in the 2016 Summer Olympic Games. Since risk perceptions of individuals in unaffected areas are unknown, we assessed the risk perceptions of ZIKV and related behaviour in Lower Saxony, Germany, with a specific focus on pregnant women and their partners. Methods: In May 2016, we surveyed 1,037 participants aged 15-69 years of an online panel (addressing hygiene and preventive behaviour regarding infections) in Lower Saxony with respect to their risk perceptions related to ZIKV. We additionally included 26 expectant parents who were recruited at antenatal preparation courses in Braunschweig and Hannover between May and July 2016. Results: Six hundred fifty-five (69.1%) of the panel participants had ever heard about ZIKV. About 8% of the study participants reported to be concerned about ZIKV. Pregnant women had the highest odds of reporting concern about ZIKV (OR: 6.24; 95% CI: 2.94-13.26, reference: non-pregnant women). The vast majority of participants (79%) would travel to the Olympics if they won a free trip; this proportion was lower in currently pregnant women (46%). Risk perceptions towards ZIKV were considerably lower than those towards Ebola during the 2014 epidemic. Conclusion: This study showed that fear of contracting ZIKV is not a major deterrent for travelling to high-risk areas. Pregnant women are appropriately concerned about the risk of ZIKV. Studies modelling the further spread of ZIKV need to account for these results.

The importance of human population characteristics in modeling Aedes aegypti distributions and assessing risk of mosquito-borne infectious diseases.

BACKGROUND: The mosquito Aedes aegypti has long been a vector for human illness in the Southeastern United States. In the past, it has been responsible for outbreaks of dengue, chikungunya, and yellow fever and, very recently, the Zika virus that has been introduced to the region. Multiple studies have modeled the geographic distribution of Ae. aegypti as a function of climate factors; however, this ignores the importance of humans to the anthropophilic biter. Furthermore, Ae. aegypti thrives in areas where humans have created standing water sites, such as water storage containers and trash. As models are developed to examine the potential impact of climate change, it becomes increasingly important to include the most comprehensive set of predictors possible. RESULTS: This study uses Maxent, a species distribution model, to evaluate the effects of adding poverty and population density to climate-only models. Performance was evaluated through model fit statistics, such as AUC, omission, and commission, as well as individual variable contributions and response curves. Models which included both population density and poverty exhibited better predictive power and produced more precise distribution maps. Furthermore, the two human population characteristics accounted for much of the model contribution-more so than climate variables. CONCLUSIONS: Modeling mosquito distributions without accounting for their dependence on local human populations may miss factors that are very important to niche realization and subsequent risk of infection for humans. Further research is needed to determine if additional human characteristics should be evaluated for model inclusion.