An interactive web-based method of outreach to college students at risk for suicide

Abstract. Objective and Participants: From 2002 to 2005, the authors tested an interactive, Web-based method to encourage college students at risk for suicide to seek treatment. Methods: The authors invited students at 2 universities to complete an online questionnaire that screened for depression and other suicide risk factors. Respondents received a personalized assessment and were able to communicate anonymously with a clinical counselor online. At-risk students were urged to attend in-person evaluation and treatment. Results: A total of 1,162 students (8% of those invited) completed the screening questionnaire; 981 (84.4%) were designated as at high or moderate risk. Among this group, 190 (19.4%) attended an inperson evaluation session with the counselor, and 132 (13.5%) entered treatment. Students who engaged in online dialogues with the counselor were 3 times more likely than were those who did not to come for evaluation and enter treatment. Conclusions: The method has considerable promise for encouraging previously untreated, at-risk college students to get help. Keywords: college students, outreach, suicide prevention, Webbased screening uicide is the third leading cause of death among US adolescents and young adults, claiming more young lives than any cause other than accidents and homicides

Establishing the reliability and validity of the Zagazig Depression Scale in a UK student population: an online pilot study

Background: It is thought that depressive disorders will be the second leading cause of disability worldwide by 2020. Recently, there is a steady increase in the number of university students diagnosed and treated as depression patients. It can be assumed that depression is a serious mental health problem for university students because it affects all age groups of the students either younger or older equally. The current study aims to establish the reliability and validity of the Zagazig Depression scale in a UK sample. Methods: The study was a cross-sectional online survey. A sample of 133 out of 275 undergraduate students from a range of UK Universities in the academic year 2008-2009, aged 20.3 ± 6.3 years old were recruited. A modified back translated version of Zagazig Depression scale was used. In order to validate the Zagazig Depression scale, participants were asked to complete the Patient Health Questionnaire. Statistical analysis includes Kappa analysis, Cronbach's alpha, Spearman's correlation analysis, and Confirmatory Factor analysis. Results: Using the recommended cut-off of Zagazig Depression scale for possible minor depression it was found that 30.3% of the students have depression and higher percentage was identified according to the Patient Health Questionnaire (37.4%). Females were more depressed. The mean ZDS score was 8.3 ± 4.2. Rates of depression increase as students get older. The reliability of The ZDS was satisfactory (Cronbach's alpha was .894). For validity, ZDS score was strongly associated with PHQ, with no significant difference (p-value > 0.05), with strong positive correlation (r = +.8, p-value < 0.01). Conclusion: The strong, significant correlation between the PHQ and ZDS, along with high internal consistency of the ZDS as a whole provides evidence that ZDS is a reliable measure of depressive symptoms and is promising for the use of the translated ZDS in a large-scale cross-culture study

Genetic Dissection of Acute Ethanol Responsive Gene Networks in Prefrontal Cortex: Functional and Mechanistic Implications

Background Individual differences in initial sensitivity to ethanol are strongly related to the heritable risk of alcoholism in humans. To elucidate key molecular networks that modulate ethanol sensitivity we performed the first systems genetics analysis of ethanol-responsive gene expression in brain regions of the mesocorticolimbic reward circuit (prefrontal cortex, nucleus accumbens, and ventral midbrain) across a highly diverse family of 27 isogenic mouse strains (BXD panel) before and after treatment with ethanol. Results Acute ethanol altered the expression of ~2,750 genes in one or more regions and 400 transcripts were jointly modulated in all three. Ethanol-responsive gene networks were extracted with a powerful graph theoretical method that efficiently summarized ethanol\u27s effects. These networks correlated with acute behavioral responses to ethanol and other drugs of abuse. As predicted, networks were heavily populated by genes controlling synaptic transmission and neuroplasticity. Several of the most densely interconnected network hubs, including Kcnma1 and Gsk3β, are known to influence behavioral or physiological responses to ethanol, validating our overall approach. Other major hub genes like Grm3, Pten and Nrg3 represent novel targets of ethanol effects. Networks were under strong genetic control by variants that we mapped to a small number of chromosomal loci. Using a novel combination of genetic, bioinformatic and network-based approaches, we identified high priority cis-regulatory candidate genes, including Scn1b,Gria1, Sncb and Nell2. Conclusions The ethanol-responsive gene networks identified here represent a previously uncharacterized intermediate phenotype between DNA variation and ethanol sensitivity in mice. Networks involved in synaptic transmission were strongly regulated by ethanol and could contribute to behavioral plasticity seen with chronic ethanol. Our novel finding that hub genes and a small number of loci exert major influence over the ethanol response of gene networks could have important implications for future studies regarding the mechanisms and treatment of alcohol use disorders

And Now, Transcriptomics

AbstractIn this issue of Neuron, Gurevich et al. (2002) report different patterns of 5-HT2C pre-mRNA editing in suicide victims, as compared to controls. Treatment of mice with fluoxetine alters the pattern of 5-HT2C transcript editing in the direction opposite that observed for suicide victims. The authors speculate on a possible serotonergic mechanism controlling 5-HT2C pre-mRNA editing

Ethnic Differences in Patterns of Suicide Across the Life Cycle

Objective: The authors analyzed suicide across the life cycle of different ethnic groups in an urban population equally divided between blacks (44.6%) and whites (48.1%). Method: Two data sets were used: 1) all suicides in Fulton County, Ga., from January 1994 through December 2002 and 2) all U.S. suicides reported by the National Center for Injury Prevention in 1999 and 2000. Results: The population rates for suicide in Fulton County were 1.22 per 100,000 black females, 10.74 per 100,000 black males, 9.89 per 100,000 white females, and 21.04 per 100,000 white males. In Fulton County, age at completed suicide was more than a decade lower in blacks than in whites. The median age of black victims was 32 years, with an interquartile range (IQR) of 23–45, and the median for whites was 44 years (IQR=31–58); the difference was significant. The mean ages of victims who were black (mean=36.1 years, SD=17.0) and of “other” race (mean=35.7, SD=14.3) were significantly lower than the mean for whites (mean=46.2, SD=18.5). The national data were similar, but minorities accounted for an even smaller percentage of suicides. Median age at completed suicide for African Americans nationally was 34 years (IQR=24–45) compared to 44 years (IQR=32–58) for Caucasians. Conclusions: African Americans commit suicide at rates much lower than those for whites, but they do so when much younger and they have a narrow, age-defined window of vulnerability. Age-specific psychopathological processes and protective factors may define suicide risk for each demographic group