Faculty Bibliography

BACKGROUND:Electronic aggression is the use of electronic communication technologies to harass others. It is a problem among adolescents and young people worldwide. There is a dearth of information on this problem in developing countries in spite of the increasing use of electronic media technology in these countries. OBJECTIVE:To explore gender differences in the prevalence, effects and reporting of electronic aggression among secondary school students in Oyo state, Nigeria. METHODS:A cross-sectional study was conducted using mixed methods (a quantitative survey of 653 students and 18 in-depth interviews with victims and/or perpetrators). Survey students were selected using multi-stage sampling and in-depth interviewees were selected purposively. History of electronic aggression (as a perpetrator and/or victim) in the 3 months preceding the study was obtained. Respondents also provided information on the effects of the last incident of bullying on them and whether or not they reported this incident. RESULTS:25.8% of males and 22.1% of females had perpetrated electronic aggression, while 42.7% of females were victims compared to 36.8% of males. More females (58.1%) than males (40.3%) perpetrated electronic aggression via phone calls and more males (33.8%) than females (22.6%) perpetrated electronic aggression via chatrooms. 45.4% of male victims and 39.4% of female victims felt angry following the last cyberbully incident. Findings from the in-depth interviewees corroborated the survey findings and a male victim reported feeling very sad and even tried to stay away from school following repeated episodes of electronic aggression. More female (59.1%) than male (42.7%) victims reported the incident to someone (p=0.035). CONCLUSIONS:Incidents of electronic aggression were common and the experiences of male and female students were comparable, although more female victims reported the incidents they had experienced. Victims, especially males, should be encouraged to report incidents so that the relevant authorities can institute interventions to address the problem.

BACKGROUND: Novel psychoactive substances (NPS) are emerging at an unprecedented rate. Likewise, prevalence of use and poisonings has increased in recent years. OBJECTIVE: To compare characteristics of NPS exposures and non-NPS-drug-related exposures and to examine whether there are differences between exposures involving synthetic cannabinoid receptor agonists (SCRAs) and other NPS. METHODS: Poison control center data from the five counties of New York City and Long Island were examined from 2011-2014. We examined prevalence and characteristics of NPS exposures (classified as intentional abuse) and compared characteristics of cases involving SCRAs and other NPS. RESULTS: Prevalence of NPS exposures was 7.1% in 2011, rising to 12.6% in 2014. Most exposures (82.3%) involved SCRA use. The second and third most prevalent classes were phenethylamines/synthetic cathinones ("bath salts"; 10.2%) and psychedelic phenethylamines (4.3%). Compared to other drug-related exposures (i.e. involving licit and illicit drugs), those who used NPS were more likely to be younger, male, and to have not co-used other drugs (ps < 0.001). SCRA exposures increased sharply in 2014 and the mean age of users increased over time (p < 0.01). Females exposed to SCRAs were younger than males (p < 0.001), and in 2014, individuals exposed to SCRAs were more likely to report concomitant use of alcohol than users of other NPS (p = 0.010). Users of other NPS were more likely than SCRA users to report concomitant use of ecstasy/3,4-methylenedioxymethamphetamine (MDMA)/"Molly" (p < 0.001). CONCLUSION: Exposures reported to the poison center that involve NPS are increasing and the majority involve SCRAs. These findings should inform prevention and harm reduction approaches.

People with Down syndrome (DS) are at an increased risk for Alzheimer's disease (AD). After 60 years of age, >50% of DS subjects acquire dementia. Nevertheless, the age of onset is highly variable possibly because of both genetic and environmental factors. Genetics cannot be modified, but environmental risk factors present a potentially relevant intervention for DS persons at risk for AD. Among them, inflammation, important in AD of DS type, is potential target. Consistent with this hypothesis, chronic peripheral inflammation and infections may contribute to AD pathogenesis in DS. People with DS have an aggressive form of periodontitis characterized by rapid progression, significant bacterial and inflammatory burden, and an onset as early as 6 years of age. This review offers a hypothetical mechanistic link between periodontitis and AD in the DS population. Because periodontitis is a treatable condition, it may be a readily modifiable risk factor for AD.

Introduction: Oral mucositis (OM) is among the most common, painful and debilitating toxicities of cancer regimen-related treatment, resulting in the formation of ulcers, which are susceptible to increased colonization of microorganisms. Objectives: The aim of this study is to explore the changes in the microbiome associated with OM onset in head and neck cancer patients (oral cavity and oropharynx squamous cell carcinoma) undergoing radiotherapy alone (RT) or chemoradiotherapy (chemoRT) using molecular techniques. Methods: We recruited patients scheduled for receiving radiotherapy alone or chemoRT. Site-specific oral biofilms samples were collected using Isohelix swabs at two time points: before initiating RT/ChemoRT (pre-OM), and at the onset of OM (post-OM ie OM > 1, WHO scale). Changes in microbial abundance were detected using the Human Oral Microbe Identification using Next Generation Sequencing (HOMINGS) and metagenomic analyses. An integrative computational model estimated average changes of microbial abundance patterns of 768 species identified from pre-and-post OM onset. Results: Relative changes in abundance of 54 microbial biomarkers in 16 subjects were discriminative between pre and post OM onset. Discriminant species such as Gemella haemolysans, Granulicatella elegans, Haemophilus spp., Prevotellaoris, and Aggregatibacter sp. HOT512 were found to be significantly overabundant in post-OM onset samples as compared to pre-OM. (Table Presented) Conclusions: Our results suggest a dynamic shift in the oral microbiome during the onset of OM. These species may act as opportunistic pathogens in this population, and further investigation is warranted to explore if they facilitate further tissue damage and subsequent pain

OBJECTIVE: Most HIV-positive men who have sex with men (MSM) ages 50 and older feel a responsibility to protect their sex partners from HIV transmission risk. For some, this is enacted through HIV disclosure, for others, this is realized through reduced risk behaviors. METHODS: To examine this, we analyzed interviews of 23 HIV-positive MSM ages 50 and older. RESULTS: We identified several contextual, relational, and psychosocial factors that served as either barriers or facilitators to HIV disclosure. CONCLUSIONS: Our findings suggest HIV status disclosure is multifaceted and continues to impact sexual communication in the lives of MSM as they enter middle age.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

BACKGROUND: There has been an exponential increase in the prevalence of e-cigarette use, particularly among youth. However, adult use is also rising, and there have been relatively few qualitative studies with adult users to understand their reasons for use and future use intentions. Such information is needed to inform both prevention and cessation approaches. METHOD: Thirty-one e-cigarette users participated in one of several focus groups assessing the appeal of e-cigarettes as well as comparisons to combustible cigarettes and approved smoking cessation aids. We also obtained perspectives on future use intentions and interest in e-cigarette cessation interventions. Verbatim transcripts were analyzed using the constant comparative method. RESULTS: Participants reported several aspects of e-cigarette appeal as compared to approved cessation treatment options. These included similarities to combustible cigarettes, fewer side effects, and control of e-cigarettes to suit personal preferences. Participants were split on whether they preferred flavors that mimicked or contrasted with their combustible cigarettes (i.e., tobacco vs. alternative flavors, such as candy). Some participants who were unmotivated to quit smoking reported an unanticipated disinterest in continuing use of combustible cigarettes shortly after initiating e-cigarettes. Despite strong interest in reducing nicotine dosage, the majority did not intend to fully discontinue e-cigarettes. CONCLUSIONS: Understanding e-cigarette users' perspectives can inform policy and treatment development. Regulatory and policy initiatives will need to balance the appealing characteristics of e-cigarettes with the potential for negative public health outcomes.