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7%), Asian/Pacific Islander (5.4%), Hispanic (3.8%), Native American (1.1%), mixed race (6.5%), and ��don't know�� (1.7%). Approximately 24.0% of the students received free/reduced-price lunch at school, and 64.0% reported living with two biological parents. We categorized students into suicidality groups based [https://en.wikipedia.org/wiki/Dabigatran Dabigatran] on responses to two items: ��Have you ever thought about killing yourself?�� and ��Have you ever tried to kill yourself?�� Response items for both items were: ��no,�� ��yes, during the last year,�� or ��yes, more than a year ago.�� To ensure our data have relevance to currently suicidal youth, we utilized positive responses to ��during the last year�� to drive group classifications. We classified students into three groups: suicidal ideation only (thought about killing [http://www.selleckchem.com/products/Bortezomib.html Bortezomib nmr] oneself during the last year and never attempted suicide), suicide attempt (attempted suicide during the last year, with any reported suicidal ideation), and no suicidality (never thought about or attempted to kill oneself ever). Youth who only endorsed ��more than a year ago�� on both items were excluded from the analysis to avoid confounding the classification of youth into our current suicide ideation and attempter groups. Independent variables fell into two domains, risk factors and protective factors, comprising known correlates of suicidality among adolescents (Table?1). Measures reflected items commonly used in other population-based studies of adolescent health (CDC, 2012a; Harris et?al., 2009). Demographic variables included grade (9th versus 12th grade); free-lunch status (��Do you currently get free or reduced-price lunch at school?��); race/ethnicity, which we dichotomized to reflect White versus non-White students; and whether or not students lived with both biological parents (��Which adults do you live with?��). Analyses were stratified by gender and performed using SAS 9.3 (SAS Institute Inc., Cary, NC). General linear modeling was used to examine relationships between the suicidality groups and each independent variable one at a time. Variables that demonstrated a significant difference between groups (p?[http://www.selleckchem.com/products/AZD6244.html Selumetinib] and females to identify factors from each domain that best distinguished suicidal youth. Race/ethnicity, grade, free-lunch status, and whether or not students lived with both biological parents were included as control variables in all logistic regression models. A Bonferroni's correction was calculated for the logistic regression analysis because the approach required repeating analyses to contrast the different groups. Continuous variables entered into the logistic regression models were calculated on a 0 to 1 scale (e.g., single item on a 5-point scale became: 0, .25, .50, .75, 1) to make interpretations of odds ratios for the variables more comparable.