Trends in Suicidality and Bullying among New York City Adolescents across Race and Sexual Identity: 2009-2019.

Despite evidence showing rising suicidality among lesbian, gay, and bisexual (LGB) and Black adolescents, separately, there is scant research on suicide risk trajectories among youth groups across both racial and sexual identities. Thus, we examined trajectories of self-reported suicidal ideation and attempt and their associations with bullying among New York City-based adolescents. We analyzed 2009-2019 NYC Youth Risk Behavior Survey data. We ran weighted descriptive and logistic regression analyses to test for trends in dichotomous suicidal ideation, suicide attempt, bullying at school, and e-bullying variables among students across both race/ethnicity and sexual identity. We assessed associations between suicidality trends and bullying with logistic regressions. Models controlled for age and sex. Suicidal ideation and attempt were 2 and 5 times more likely among LGB than heterosexual participants, respectively. Bullying at school and e-bullying were 2 times more likely among LGB than heterosexual participants. Black LGB participants were the only LGB group for which both suicidal ideation (AOR = 1.04, SE = .003, p < .001) and attempt (AOR = 1.04, SE = .004, p < .001) increased over time. Both increased at accelerating rates. Conversely, White LGB participants were the only LGB group for which both suicidal ideation (AOR = 0.98, SE = .006, p < .001) and attempt (AOR = 0.92, SE = .008, p < .001) decreased over time. These changes occurred in parallel with significant bullying increases for Black and Latina/o/x LGB adolescents and significant bullying decreases for White LGB adolescents. Bullying was positively associated with suicidal ideation and attempt for all adolescents. Findings suggest resources aimed at curbing rising adolescent suicide should be focused on Black LGB youth.

Collateral Impacts of the COVID-19 Pandemic: The New York City Experience.

OBJECTIVE: To adapt an existing surveillance system to monitor the collateral impacts of the COVID-19 pandemic on health outcomes in New York City across 6 domains: access to care, chronic disease, sexual/reproductive health, food/economic insecurity, mental/behavioral health, and environmental health. DESIGN: Epidemiologic assessment. Public health surveillance system. SETTING: New York City. PARTICIPANTS: New York City residents. MAIN OUTCOME MEASURES: We monitored approximately 30 indicators, compiling data from 2006 to 2022. Sources of data include clinic visits, surveillance surveys, vital statistics, emergency department visits, lead and diabetes registries, Medicaid claims, and public benefit enrollment. RESULTS: We observed disruptions across most indicators including more than 50% decrease in emergency department usage early in the pandemic, which rebounded to prepandemic levels by late 2021, changes in reporting levels of probable anxiety and depression, and worsening birth outcomes for mothers who identified as Asian/Pacific Islander or Black. Data are processed in SAS and analyzed using the R Surveillance package to detect possible inflections. Data are updated monthly to an internal Tableau Dashboard and shared with agency leadership. CONCLUSIONS: As the COVID-19 pandemic continues into its third year, public health priorities are returning to addressing non-COVID-19-related diseases and conditions, their collateral impacts, and postpandemic recovery needs. Substantial work is needed to return even to a suboptimal baseline across multiple health topic areas. Our surveillance framework offers a valuable starting place to effectively allocate resources, develop interventions, and issue public communications.