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The COVID-19 pandemic of 2020 is a major global health challenge. At the time of writing, over 11.6 million people around the world had been registered as infected and 538,000 had died (Worldometers, 2020, accessed July 7, 2020). Public health responses to COVID-19 need to balance direct efforts to control the disease and its impact on health systems, infected people, and their families with the impacts from associated mitigating interventions. Such impacts include social isolation, school closure, health service disruption stemming from reconfiguring health systems, and diminished economic activity. The primary focus of both the United Nations (UN) and the World Health Organization (WHO) has been on addressing COVID-19 as a physical health crisis, but the need to strengthen mental health action, including suicide prevention, is increasingly recognized, as is the need for mental health research to be an integral part of the recovery plan (UN, 2020a). The impacts of the pandemic on physical and mental health will unfold differently over time and will vary depending on the duration and fluctuating intensity of the disease. Research is needed to help ensure that decision-making regarding all aspects of health, including mental health (Holmes et al., 2020), is informed by the best quality data at each stage of the pandemic. The pandemic poses a prolonged and unique challenge to public mental health, with major implications for suicide and suicide prevention (Gunnell et al., 2020; Reger, Stanley, & Joiner, 2020). A rise in suicide deaths in the wake of the pandemic is not inevitable. There is consensus, however, that the mitigation of risk will be contingent upon a proactive and effective response involving collaborative work between the state, NGOs, academia, and local governments and coordinated leadership across government ministries, including health, education, security, social services, welfare, and finance. Countries have responded in different ways to the pandemic, effectively creating a series of natural experiments. Thus, regions of the world affected later in the pandemic can draw on lessons from countries, such as China and Italy, affected in its early phase. Likewise, lessons learned early in the pandemic (e.g., on the impact of lockdown and physical distancing measures) can be used to inform responses to any future surges in the incidence of COVID-19. Although there are important parallels between countries in the course of the pandemic, some stressors, responses, and priorities are likely to differ between high- and low–middle-income countries and between cultures and regions. As COVID-19 appears to be disproportionately affecting Black, Asian, and minority ethnic communities, the response – and suicide prevention research carried out to inform the response – needs to be sufficiently granular and account for the complexity of risks in these groups (O'Connor et al., 2020). Throughout this editorial, when we refer to suicide and suicidal behavior, we mean to include both fatal and nonfatal suicidal behaviors and self-harm.

OBJECTIVES: Bipolar disorders are associated with high rates of suicide attempts (SAs) and completions. Several factors have been reported to be associated with suicide in persons with bipolar disorder, but most studies to date have been retrospective and have not utilized multivariate statistics to account for the redundant prediction among variables submitted for analysis. METHODS: This study examined the association between baseline clinical and demographic variables and subsequent SAs and completions through 2 years of follow-up of participants in the Systematic Treatment Enhancement Program for Bipolar Disorder using a pattern-mixture model. RESULTS: Of the sample with complete data (n = 1,556), 57 patients (3.66%) experienced an SA or completion (CS). Several variables predicted suicidality (SA + CS) in this data set when considered alone, but after controlling for redundant prediction from other baseline characteristics, only history of suicide [odds ratio (OR) = 4.52, p < 0.0001] and percent days depressed in the past year (OR = 1.16, p = 0.036) were significantly associated with SAs and completions. A secondary analysis included a greater number of variables but a smaller sample size (n = 1,014). In the secondary analyses, only prior SAs predicted prospective suicidality (OR = 3.87, p = 0.0029). CONCLUSIONS: These results indicate that patients with bipolar disorder who present with a history of SAs are over four times as likely to have a subsequent SA or completion. Further studies are needed to evaluate and prevent future attempts in this high-risk cohort.