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Abstract

Objective

Individuals with a history of suicidality may be especially vulnerable to the adverse impact of COVID‐related stressors, but this vulnerability has not been demonstrated. This study examined the longitudinal effects of suicidality history (ideation only or attempt vs. none) and interactions with COVID‐related stressors (e.g., work interruptions, childcare challenges, and financial stress) on anxiety symptoms, depressive symptoms, and problematic drinking.

Methods

Longitudinal data from 517 participants were drawn from the National Institute on Alcohol Abuse and Alcoholism Natural History Protocol and COVID‐19 Pandemic Impact on Alcohol Study. Lifetime history of suicidality was assessed using the clinician administered Columbia‐Suicide Severity Rating Scale. Multiple regressions tested the interaction between suicidality history and COVID‐related stressors on clinical outcomes.

Results

Compared to individuals without any history of suicidality (79.9%; n = 413), individuals with a history of suicide ideation only (14.5%; n = 75) and suicide attempt (5.6%; n = 29) had higher anxiety symptoms, depressive symptoms, and problematic drinking during the pandemic. Significant interaction effects showed the associations between COVID‐related stressors and mental disorder symptoms were stronger among individuals with suicide attempt history than individuals without suicidality history.

Conclusions

History of suicide attempt in combination with high COVID‐related stressors put individuals at the greatest risk for pandemic mental disorder symptoms. Individuals with suicide attempt history may have lower coping resources to handle COVID‐related stressors. Suicide risk assessment and intervention to increase cognitive flexibility and emotional regulation skills may help these individuals manage emotional distress experienced during the COVID‐19 pandemic and beyond.

Highlights

  • Exposure to stress during the COVID‐19 pandemic is associated with worse mental disorder symptoms and higher problematic drinking. However, limited research has examined the potential role of suicidality history as a moderator of these associations.

  • In this longitudinal study, history of suicidality was assessed using the Columbia‐Suicide Severity Rating Scale and study participants were categorized into three groups: no history of suicidality, a history of suicide ideation only, and a history of suicide attempt.

  • Moderation analyses showed that exposure to pandemic stress was more strongly associated with mental disorder symptoms among individuals with a history of suicide attempt, suggesting the need to provide targeted interventions for this group.

Suicide is a major public health issue, with lifetime prevalence estimates of suicide ideation and attempt at 9.2% and 2.7%, respectively (1). At the start of the COVID‐19 pandemic, suicide researchers and public health experts predicted increased deaths by suicide amid a “perfect storm” of risk factors including isolation, financial distress, medical illness, and barriers to treatment (2, 3). While deaths by suicide were either unchanged or declined in parts of the U.S. during the initial phase of the COVID‐19 pandemic (4), several meta‐analyses have found increased rates of suicide ideation and attempts (5, 6). This increase is of significant clinical concern, as lifetime suicide ideation and/or attempts are associated with later disability estimates and reduced physical/psychological quality of life (7, 8).

In a meta‐analytic review, a myriad of risk factors was identified as correlates of suicide ideation during the COVID‐19 pandemic, including quarantine and exhaustion, low social support, sleep disturbances, loneliness, and mental health difficulties (9). COVID‐related experiences such as the impact of social distancing policies and fear of physical harm have also been linked to past‐month suicidal ideation and suicide attempt among U.S. adults (10). Although these studies provided cross‐sectional evidence connecting COVID‐related stressors and emotional distress during the pandemic to suicide ideation, limited research has utilized longitudinal data to examine if a history of suicidality may be associated with mental disorder symptoms and problematic drinking in the context of the COVID‐19 pandemic.

During the first year of the COVID‐19 pandemic, anxiety and depression increased by 25% and alcohol‐related mortality also increased by 25% (11, 12). These increases may be attributable to social isolation during the initial phase of the pandemic (13), and exposure to COVID‐related stressors such as disruption to employment and financial stress over the course of the pandemic (14). Worsened depression and anxiety symptoms have been especially pronounced among those who use avoidance coping strategies such as denial, venting, and behavioral disengagement (15), which may trigger drinking alcohol to cope with pandemic stress (16). Global rates of depressive and anxiety symptoms increased since the start of the COVID‐19 pandemic (17), with adverse outcomes particularly elevated among those reporting COVID‐19 stressors (18).

A meta‐analytic review of 128 studies examining changes in alcohol consumption during the first year of the COVID‐19 pandemic showed substantial heterogeneity in drinking patterns (19). A wide range of risk factors was summarized in this meta‐analysis, including income loss, working remotely, and mental health issues such as depression, but a history of suicidality was not listed as a distinct risk factor. Furthermore, during the pandemic, individuals may engage in problematic drinking as a maladaptive coping strategy to manage and reduce symptoms of depression, anxiety, and other acute stressors (20, 21). Despite these studies, it is unclear whether the adverse effects of COVID‐related stressors on mental disorder symptoms and problematic drinking are stronger among those with a history of suicidality.

This study had two goals. First, we investigated the longitudinal associations of history of suicide ideation and attempt with depressive symptoms, anxiety symptoms, and problematic drinking. Second, we examined if the association of COVID‐related stressors and clinical outcomes were moderated by history of suicidality. Recent research has emphasized the importance of distinguishing between clinical characteristics among individuals with suicide attempt versus ideation only (22). We hypothesized that individuals with a history of suicide attempt would report the highest levels of mental disorder symptoms and problematic drinking, followed by individuals with a history of suicide ideation only and then by individuals without any history of suicidality. We also hypothesized that the magnitude of associations between COVID‐related stressors and clinical outcomes would be stronger among individuals with a history of suicide ideation and/or attempt compared to those without any history of suicidality.

METHOD

Participants

From June 3, 2020 to January 19, 2023, 589 adults were enrolled in the National Institute on Alcohol Abuse and Alcoholism (NIAAA) COVID‐19 Pandemic Impact on Alcohol Study (C19 PIA Study). These participants were previously enrolled in the NIAAA Natural History Protocol (NHP), from which data on history of suicidality and alcohol use disorder (AUD) diagnosis were gathered through clinical interviews. The identification of study participants was based on contact information collected in the NHP and recruitment of participants was completed over the phone by trained clinical interviewers. As shown in Figure 1, we excluded 71 participants with missing data on one or more key study measures and 1 participant who completed the NHP and C19 PIA Study assessments on the same day, yielding an analytic sample of 517 participants (87.8% of the larger sample of 589 adults in the C19 PIA Study). For all participants, their assessment in the C19 PIA Study was at least 1 week after their assessment in the NHP. As described below, this design‐related variation was statistically adjusted for using the cohort variable. At the time of the C19 PIA Study, 86.5% of participants resided in the Washington metropolitan region (59.0% Maryland; 11.6% Virginia; 15.9% Washington, DC). All participants provided informed consent before they were enrolled in the C19 PIA Study. Verbal consent and C19 PIA Study assessments on COVID‐related stressors and clinical outcomes were obtained over the phone. The C19 PIA Study protocol was approved by the NIH Intramural Institutional Review Board and has been registered in clinicaltrials.gov (NCT04391816).

image

FIGURE 1. Flow diagram illustrating participation inclusion and exclusion.

Measures

History of Suicidality (NHP)

Lifetime history of suicide ideation and attempt was assessed using the clinician administered Columbia‐Suicide Severity Rating Scale (C‐SSRS) (23). Three items on passive suicide ideation, active suicide ideation, and suicide attempt were used to categorize participants into three groups: (1) 413 with no history of suicidality (79.9%), (2) 75 with suicide ideation history only (14.5%), and (3) 29 with suicide attempt history (5.6%). All response pattern combinations are detailed in Table S1.

History of AUD (NHP)

AUD diagnosis was assessed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (DSM‐IV or DSM‐5) administered by trained clinicians (24).

COVID‐Related Stressors (C19 PIA)

Participants were asked “How has the COVID‐19 outbreak affected you?” Seventeen items derived from the COVID‐19 Community Survey Question Bank assessed the impact of COVID‐19 on work, childcare, finances, living condition, and health of family or friends (14, 25). The wording of these items along with endorsement frequencies and percentages are presented in Table S2. After reverse coding two positively phrased items, a total score was used to indicate COVID‐related stress (Cronbach's α = 0.71).

Anxiety Symptoms (C19 PIA)

Anxiety symptoms in the past month were assessed using the Generalized Anxiety Disorder‐7 (GAD‐7) assessment (26). The GAD‐7 has 7 items ranging from 0 to 3 and has a maximum total score of 21 (Cronbach's α = 0.92).

Depressive Symptoms (C19 PIA)

Depressive symptoms in the past month were assessed using the Patient Health Questionnaire (PHQ‐9) assessment (27). The PHQ‐9 has 9 items ranging from 0 to 3 and has a maximum total score of 27 (Cronbach's α = 0.88).

Problematic Drinking (C19 PIA)

Problematic drinking in the past year was assessed using the 10‐item Alcohol Use Disorders Identification Test developed by the World Health Organization (28). Each item responses ranged from 0 to 4, yielding a maximum total score of 40 (Cronbach's α = 0.94).

Design‐Related Covariates

Two study design related issues were addressed by including the following covariates. First, time lapsed from the NHP to the C19 PIA Study varied across participants, with a mean of 684 days (median = 475 days; range = 8–2290 days). To control for this variation, we coded time lapsed into a cohort variable with four categories: <1 year (44.7%), 1 year (16.4%), 2–3 years (22.1%), and 4 or more years (16.8%). Second, as participants were enrolled into the C19 PIA Study on a rolling basis, there were variations in COVID‐19 infection rates, local government policies, and availability of vaccination across time. To control for this variation, we coded timing of enrollment into an enrollment phase variable with five categories: Phase 1 (June 3, 2020 to July 31, 2020; 19.9%), Phase 2 (August 1, 2020 to November 22, 2020; 25.2%), Phase 3 (November 23, 2020 to Feb 28, 2021; 23.6%), Phase 4 (March 1, 2021 to November 31, 2021; 14.3%), and Phase 5 (December 1, 2021 to January 19, 2023; 17.0%).

Statistical Analyses

We conducted the statistical analyses in three steps. First, chi‐square and one‐way analysis of variance tests were conducted to compare differences in sample characteristics and study variables across the three history of suicidality groups. Significant differences were probed using follow‐up multinomial logistic regressions (for categorical variables) and pairwise comparisons with the Bonferroni adjustment (for continuous variables). Second, three linear regression models were specified to examine the associations of history of suicidality with anxiety symptoms, depressive symptoms, and problematic drinking. Third, the interactions between COVID‐related stressors and history of suicidality were investigated in three multiple regression models that covaried for cohort, enrollment phase, age, sex, race, ethnicity, marital status, and history of AUD. To probe any significant interactions, the simple slopes of COVID‐related stressors on clinical outcomes were estimated. For any model with nonsignificant interactions, the final model would be re‐estimated without the interaction terms. All statistical analyses were conducted in Stata 17.

RESULTS

Table 1 shows sample characteristics and study variables for the overall sample and by history of suicidality groups. Chi‐square tests revealed differences in sex, race, and history of AUD by history of suicidality groups, and follow‐up multinomial logistic regressions were conducted. Male participants were marginally less likely than female participants to endorse a history of suicide attempt (p = 0.062). Relative to White participants, Black/African American participants were less likely to endorse a history of suicide ideation (p = 0.004). History of AUD was strongly associated with history of suicide ideation and attempt. Relative to those without a history of AUD, individuals with a history of AUD were much more likely to endorse a history of suicide ideation only (70.7% vs. 31.5%; p < 0.001) or a history of suicide attempt (82.8% vs. 31.5%; p < 0.001). One‐way ANOVAs showed significant suicidality history group differences in COVID‐related stressors and clinical outcomes, in which individuals with a history of either suicide ideation only or suicide attempt reported elevated scores compared to those without any history of suicidality.

TABLE 1. Sample characteristics for the overall sample and by history of suicidality.a
Overall sample (N = 517)None (n = 413)Suicide ideation only (n = 75)Suicide attempt (n = 29)χ2p
n%n%n%n%
Sex
Female24246.819547.22837.31965.56.810.033
Male27553.221852.84762.71034.5
Race
White26350.920248.94965.31241.410.520.033b
Black/African American17433.714735.61418.71344.8
Other8015.56415.51216.0413.8
Ethnicity
Not Hispanic45487.836387.96688.02586.22.330.676
Hispanic438.3327.8810.7310.3
Unknown203.9184.411.313.5
Marital status
Single33164.026564.24762.71965.52.170.705
Married10620.58821.31418.7413.8
Other8015.56014.51418.7620.7
History of AUD
No31060.028368.52229.3517.263.96<0.001
Yes20740.013031.55370.72482.8
MSDMSDMSDMSDFp
Age44.5914.1344.4314.3343.9113.3048.6913.221.340.263
COVID stressors3.822.693.732.714.132.584.382.691.370.254
Anxiety symptoms4.335.023.754.666.805.876.285.4014.77<0.001c
Depressive symptoms4.765.553.974.977.716.358.347.2022.58<0.001c
Problematic drinking8.6711.047.139.8915.2113.0813.5513.3421.63<0.001c

Abbreviation: AUD, alcohol use disorder.

aOther Race included 36 Asian, 19 Multiracial, 2 American Indian/Alaska Native, and 23 Unknown Race. Other marital status included 49 divorced, 10 separated, 10 widowed, and 12 other marital status or not provided.

bBlack/African American participants were less likely to report a history of suicide ideation relative to White participants.

cHistory of suicide ideation only and suicide attempt groups significantly different from none group.

TABLE 1. Sample characteristics for the overall sample and by history of suicidality.a
Enlarge table

Figure 2 illustrates the longitudinal associations of suicidality history with anxiety symptoms, depressive symptoms, and problematic drinking. Results from linear regression models showed that relative to individuals without any history of suicidality, those with a history of suicide ideation only reported higher anxiety symptoms (b = 3.05, 95% CI = 1.85, 4.26, p < 0.001), depressive symptoms (b = 3.74, 95% CI = 2.42, 5.05, p < 0.001), and problematic drinking (b = 8.08, 95% CI = 5.46, 10.70, p < 0.001). Similarly, individuals with a history of suicide attempt also reported higher anxiety symptoms (b = 2.53, 95% CI = 0.68, 4.37, p = 0.007), depressive symptoms (b = 4.38, 95% CI = 2.36, 6.39, p < 0.001), and problematic drinking (b = 6.42, 95% CI = 2.41, 10.43, p = 0.002).

image

FIGURE 2. Longitudinal impact of history of suicidality on anxiety symptoms, depressive symptoms, and problematic drinking. Compared to those who had no history of suicidality, individuals who had a history of suicide ideation or attempt reported higher levels of anxiety symptoms, depressive symptoms, and problematic drinking. Error bars represent 95% confidence intervals.

Table 2 shows the multiple regression models testing the interaction between COVID‐related stressors and history of suicidality on mental disorder symptoms and problematic drinking. The interaction between COVID‐related stressors and history of suicide attempt was significant for anxiety symptoms (b = 0.92, 95% CI = 0.24, 1.60, p = 0.008) and depressive symptoms (b = 1.03, 95% CI = 0.29, 1.76, p = 0.006). As shown in Table S3, the simple slopes of COVID‐related stressors on mental disorder symptoms were significant among individuals without any history of suicidality (b = 0.28, 95% CI = 0.10, 0.46, p = 0.002 for anxiety symptoms; b = 0.32, 95% CI = 0.12, 0.51, p = 0.001 for depressive symptoms), and the magnitudes of these associations were substantially stronger among individuals with a history of suicide attempt (b = 1.20, 95% CI = 0.55, 1.85, p < 0.001 for anxiety symptoms; b = 1.34, 95% CI = 0.64, 2.05, p < 0.001 for depressive symptoms). These interaction effects are visually illustrated in Figure 3. Of note, due to relatively few participants in the history of suicide attempt group (n = 29), the 95% CI bounds were wider for this group. As for problematic drinking, history of AUD was strongly associated with problematic drinking. COVID‐related stressors and later enrollment phases were also positively associated with problematic drinking. When the nonsignificant interaction terms were dropped in the final multiple regression model, history of suicide ideation was positively associated with problematic drinking (b = 2.87, 95% CI = 0.75, 4.99, p = 0.008), whereas history of suicide attempt was not associated with problematic drinking (b = 0.58, 95% CI = −2.64, 3.79, p = 0.724).

TABLE 2. Regression models testing stressors by suicidality interactions on pandemic mental health and alcohol outcomes.
Anxiety symptomsDepressive symptomsProblematic drinking
bSEpbSEpbSEp
Intercept4.020.92<0.0014.791.00<0.0011.021.610.526
COVID‐related stressors0.280.090.0020.320.100.0010.440.160.005
History of suicidality
Ideation versus none1.621.130.1512.961.220.0160.361.970.854
Attempt versus none−2.601.780.145−1.481.940.4453.783.110.225
Interactions
COVID‐related stressors × ideation0.110.230.622−0.070.250.7860.610.400.130
COVID‐related stressors × attempt0.920.340.0081.030.370.006−0.720.600.233
Enrollment phase
2 versus 10.470.730.521−0.210.800.7930.591.280.647
3 versus 10.340.730.647−0.270.790.7373.661.280.004
4 versus 10.810.750.2800.320.820.6975.371.31<0.001
5 versus 1−0.350.710.623−0.260.770.7373.361.240.007
Cohort
1 year versus <1 year1.650.720.0232.260.790.004−1.501.260.235
2–3 years versus <1 year0.600.710.4031.480.770.056−2.931.240.019
4+ years versus <1 year−1.020.720.160−0.340.790.670−4.191.260.001
Age−0.040.020.028−0.050.020.004−0.010.030.846
Sex
Male versus female−0.220.430.609−0.530.460.2520.170.750.824
Race
Black/African versus White−0.570.480.230−0.700.520.175−1.590.830.057
Other versus White−0.310.650.633−0.920.700.193−2.261.130.047
Hispanic
Hispanic versus non‐Hispanic−0.530.800.507−0.470.860.5852.101.390.130
Unknown versus non‐Hispanic−0.671.100.546−0.701.200.5603.241.930.093
Marital status
Married versus single−0.750.560.177−0.680.600.2610.600.970.534
Other versus single−0.800.630.2040.870.690.2072.711.100.014
History of AUD1.700.48<0.0011.790.520.00112.340.84<0.001
TABLE 2. Regression models testing stressors by suicidality interactions on pandemic mental health and alcohol outcomes.
Enlarge table
image

FIGURE 3. Interactions between COVID‐related stressors and history of suicidality on anxiety and depressive symptoms. COVID‐related stressors were positively associated with both anxiety and depressive symptoms, and especially so for those with a history of suicide attempt. Shaded areas represent 95% confidence intervals.

DISCUSSION

Extending cross‐sectional studies that connected mental disorder symptoms to suicide ideation and attempt during the COVID‐19 pandemic (9, 29), the current study showed longitudinal associations of a history of suicide ideation and/or attempt with higher depression symptoms, anxiety symptoms, and problematic drinking during the pandemic. While mental disorder symptoms and problematic drinking were generally higher among individuals with a history of suicide ideation or attempt than those without, contrary to our hypothesis, a history of suicide attempt was not associated with the highest levels of symptomology. Prior research showed that higher acquired capability to attempt suicide and negative urgency were particularly elevated among individuals with suicide attempt history versus ideation history only (22, 30). It is possible that differences between individuals with suicide attempt history and ideation history only are manifested not across a broad spectrum of clinical characteristics, but only to specific vulnerability factors that are most closely linked to suicide attempt. Overall, the current findings highlight a history of suicide ideation and/or attempt as a risk indicator for mental disorder symptoms and maladaptive drinking to cope during the pandemic and reinforce the importance of continued surveillance and prevention of adverse suicide‐related consequences over time (3). The novel interaction findings help inform who may need intervention, which is consistent with stress sensitization models that suggest a history of adversity, such as suicidality history, may increase vulnerability for the development of mental health concerns in response to stressful events (31). Moreover, as the majority (>80%) of participants with suicide attempt also had a history of AUD, our findings suggest the need to assess and treat alcohol misuse in the context of suicide prevention.

Within this sample, the associations between COVID‐related stressors and mental disorder symptoms were stronger among individuals with a history of suicide attempt than individuals without a history of suicidality. This finding may reflect differences in emotion regulation and use of adaptive coping strategies in response to COVID‐related stressors. Research suggests difficulties in emotion regulation, including nonacceptance of emotional distress and perceived lack of access to effective emotion regulation strategies, were associated with greater COVID‐19 related acute stress (32). Furthermore, adaptive emotion regulation strategies, such as cognitive reappraisal, served as a buffer between COVID‐19 related stress and increased mental distress, whereas maladaptive emotion regulation strategies, such as suppression, exacerbated the association between COVID‐19 related stress and increased general mental distress (33). In line with these prior findings, individuals with a history of suicide attempt may be more vulnerable to the impact of COVID‐related stressors on anxiety and depressive symptoms due to greater emotion dysregulation and lower use of adaptive coping strategies. These findings are relevant to clinical care as suicide risk assessment has been proposed as an important clinical pathway in primary care settings and in mental health clinics (34, 35). More research is needed to test these potential mechanisms and develop interventions to help individuals with a history of suicide attempt develop adaptive coping and emotion regulation skills.

In this study, individuals with a history of suicide ideation and/or attempt generally reported higher problematic drinking, which is consistent with studies completed prior to the COVID‐19 pandemic (36). However, after adjusting for covariates such as COVID‐related stressors and a history of AUD, the associations of a history of suicide ideation and/or attempt with problematic drinking were attenuated. These findings may reflect the significant role of COVID‐related stressors in problematic drinking during the pandemic (14, 16), and the substantial overlap between history of AUD and suicidality (37, 38). Remarkably, in the current sample, 31.5% of individuals without history of suicidality met criteria for AUD, whereas 70.7% of individuals with suicide ideation and 82.8% of individuals with suicide attempt met criteria for AUD. Recent research has sought to better understand the overlap between suicide‐related and addictive behaviors and develop integrative intervention approaches for this population (39). More research is needed to study common etiological factors such as impulsivity and emotional dysregulation that characterize individuals with both AUD and suicide‐related behaviors. A better understanding of shared etiological pathways leading to this comorbidity can inform optimal intervention strategies that address the unique needs of this underserved population.

Despite its novelty, including the differentiation between suicide attempt history versus ideation history only and the longitudinal analyses with multiple clinical outcomes, this study has several limitations. First, while history of suicidality was assessed by clinicians in the NHP, all outcome measures assessed during the pandemic were based on self‐report and may be susceptible to recall bias. Second, the C19 PIA Study recruited participants on a rolling basis and so the baseline assessment may reflect different phases of the pandemic. While we statistically adjusted for this variation in our analyses, variations in COVID‐related policies and other pandemic‐related factors may still have played a role in participants' mental disorder symptoms and problematic drinking. Third, participant identification and recruitment were restricted to prior participants in the NHP who primarily resided in the Washington metropolitan region. Given the use of a regional sample, the findings from the current study may not be generalizable to individuals living in other states or to populations that are dissimilar to the demographic makeup of the study sample. Fourth, there were relatively few participants with a history of suicide attempt (n = 29) and so the estimates were less precise as indicated by the wider 95% confidence intervals. Finally, C‐SSRS was only administered in the NHP and current suicide ideation, plan, and attempt were not evaluated during the pandemic. Thus, the available data did not allow for the examination of how change in suicide ideation and/or attempt may be associated with change in psychological distress and problematic drinking. Despite this caveat, the availability of clinician‐administered C‐SSRS data is a unique strength of this study.

In conclusion, in this longitudinal investigation, a history of suicidality was associated with pandemic outcomes including anxiety symptoms, depressive symptoms, and problematic drinking. Uniquely, we identified individuals with a history of suicide attempt as a distinct group of individuals whose mental disorder symptoms were particularly vulnerable to the adverse impact of COVID‐related stressors. Clinically, the utilization of in‐person and distance‐based suicide prevention strategies to address concerns related to economic stress, social isolation, decreased social support, and barriers to mental health treatment should be considered as ways to reduce burden associated with mental health issues and suicidality (2). Individuals with a history of suicidality, and especially those with a history of suicide attempt, may benefit from interventions that promote emotional regulation skills and cognitive flexibility during a time of significant stress exposure (40). Improved coping skills and resources may help these individuals better manage suicide risk and related mental disorder symptoms in face of heightened stress amidst the pandemic and beyond.

National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, Maryland, USA (J. W. Luk, M. F. Thompson, L. A. Novak, M. L. Schwandt, D. Goldman, N. Diazgranados); Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, Maryland, USA (M. F. Thompson, L. A. Novak); Human Psychopharmacology Laboratory, NIAAA, Bethesda, Maryland, USA (B. L. Stangl, V. A. Ramchandani); Laboratory of Neurogenetics, NIAAA, Rockville, Maryland, USA (D. Goldman)
Send correspondence to Dr. Luk ()

Vijay A. Ramchandani and Nancy Diazgranados have equally contributed as senior authors.

This study was supported by NIAAA Division of Intramural Clinical and Biological Research (Z1A AA000130, Z1A AA000466) and a NIAID Intramural Targeted Anti‐COVID (ITAC) Award.

The authors would like to thank the NIAAA clinicians, staff, and post‐baccalaureate research assistants who helped collect or manage this data, as well as other members of the NIAAA Human Psychopharmacology Laboratory, the Office of the Clinical Director, the Clinical NeuroImaging Research Core, and the Section on Sensory Science and Metabolism.

The authors do not have any conflicts of interest to disclose.

REFERENCES

1 Nock MK, Borges G, Bromet EJ, Alonso J, Angermeyer M, Beautrais A, et al. Cross‐national prevalence and risk factors for suicidal ideation, plans and attempts. Br J Psychiatr. 2008;192(2):98–105. https://doi.org/10.1192/bjp.bp.107.040113Google Scholar

2 Reger MA, Stanley IH, Joiner TE. Suicide mortality and coronavirus disease 2019—a perfect storm? JAMA Psychiatr. 2020;77(11):1093–1094. https://doi.org/10.1001/jamapsychiatry.2020.1060Google Scholar

3 Gunnell D, Appleby L, Arensman E, Hawton K, John A, Kapur N, et al. Suicide risk and prevention during the COVID‐19 pandemic. Lancet Psychiatr. 2020;7(6):468–471. https://doi.org/10.1016/s2215‐0366(20)30171‐1Google Scholar

4 Pirkis J, John A, Shin S, DelPozo‐Banos M, Arya V, Analuisa‐Aguilar P, et al. Suicide trends in the early months of the COVID‐19 pandemic: an interrupted time‐series analysis of preliminary data from 21 countries. Lancet Psychiatr. 2021;8(7):579–588. https://doi.org/10.1016/s2215‐0366(21)00091‐2Google Scholar

5 Yan Y, Hou J, Li Q, Yu NX. Suicide before and during the COVID‐19 pandemic: a systematic review with meta‐analysis. Int J Environ Res Publ Health. 2023;20(4):3346. https://doi.org/10.3390/ijerph20043346Google Scholar

6 Dubé JP, Smith MM, Sherry SB, Hewitt PL, Stewart SH. Suicide behaviors during the COVID‐19 pandemic: a meta‐analysis of 54 studies. Psychiatr Res. 2021;301:113998. https://doi.org/10.1016/j.psychres.2021.113998Google Scholar

7 van Spijker BA, van Straten A, Kerkhof AJ, Hoeymans N, Smit F. Disability weights for suicidal thoughts and non‐fatal suicide attempts. J Affect Disord. 2011;134(1‐3):341–347. https://doi.org/10.1016/j.jad.2011.05.020Google Scholar

8 Thompson MF, Schwandt ML, Ramchandani VA, Diazgranados N, Goldman D, Luk JW. Stress and alcohol‐related coping mechanisms linking lifetime suicide ideation and attempt to multidimensional quality of life. J Affect Disord. 2024;351:729–737. https://doi.org/10.1016/j.jad.2024.01.209Google Scholar

9 Farooq S, Tunmore J, Ali MW, Ayub M. Suicide, self‐harm and suicidal ideation during COVID‐19: a systematic review. Psychiatr Res. 2021;306:114228. https://doi.org/10.1016/j.psychres.2021.114228Google Scholar

10 Ammerman BA, Burke TA, Jacobucci R, McClure K. Preliminary investigation of the association between COVID‐19 and suicidal thoughts and behaviors in the U.S. J Psychiatr Res. 2021;134:32–38. https://doi.org/10.1016/j.jpsychires.2020.12.037Google Scholar

11 White AM, Castle I‐JP, Powell PA, Hingson RW, Koob GF. Alcohol‐related deaths during the COVID‐19 pandemic. JAMA. 2022;327(17):1704–1706. https://doi.org/10.1001/jama.2022.4308Google Scholar

12 Santomauro DF, Mantilla Herrera AM, Shadid J, Zheng P, Ashbaugh C, Pigott DM, et al. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID‐19 pandemic. Lancet. 2021;398(10312):1700–1712. https://doi.org/10.1016/s0140‐6736(21)02143‐7Google Scholar

13 Knox L, Karantzas GC, Romano D, Feeney JA, Simpson JA. One year on: what we have learned about the psychological effects of COVID‐19 social restrictions: a meta‐analysis. Curr Opin Psychol. 2022;46:101315. https://doi.org/10.1016/j.copsyc.2022.101315Google Scholar

14 Luk JW, Stangl BL, Schwandt ML, Gunawan T, Joseph PV, Momenan R, et al. A person‐centered approach to capture health disparities and multidimensional impact of COVID‐related stressors. Am Psychol. 2023;78(3):321–332. https://doi.org/10.1037/amp0001044Google Scholar

15 Shamblaw AL, Rumas RL, Best MW. Coping during the COVID‐19 pandemic: relations with mental health and quality of life. Can Psychol. 2021;62(1):92–100. https://doi.org/10.1037/cap0000263Google Scholar

16 Koob GF, Powell P, White A. Addiction as a coping response: hyperkatifeia, deaths of despair, and COVID‐19. Am J Psychiatr. 2020;177(11):1031–1037. https://doi.org/10.1176/appi.ajp.2020.20091375Google Scholar

17 Daniali H, Martinussen M, Flaten MA. A global meta‐analysis of depression, anxiety, and stress before and during COVID‐19. Health Psychol. 2023;42(2):124–138. https://doi.org/10.1037/hea0001259Google Scholar

18 Gray A, Liu T, Giorgi S, Fisher CB, Curtis B. Differences in mental health and alcohol use across profiles of COVID‐19 disruptions. Alcohol Alcohol. 2023;58(4):393–403. https://doi.org/10.1093/alcalc/agad028Google Scholar

19 Acuff SF, Strickland JC, Tucker JA, Murphy JG. Changes in alcohol use during COVID‐19 and associations with contextual and individual difference variables: a systematic review and meta‐analysis. Psychol Addict Behav. 2022;36(1):1–19. https://doi.org/10.1037/adb0000796Google Scholar

20 Veenstra MY, Lemmens PH, Friesema IH, Garretsen HF, Knottnerus JA, Zwietering PJ. A literature overview of the relationship between life‐events and alcohol use in the general population. Alcohol Alcohol. 2006;41(4):455–463. https://doi.org/10.1093/alcalc/agl023Google Scholar

21 Bresin K, Mekawi Y. The “why” of drinking matters: a meta‐analysis of the association between drinking motives and drinking outcomes. Alcohol Clin Exp Res. 2021;45(1):38–50. https://doi.org/10.1111/acer.14518Google Scholar

22 Klonsky ED, Qiu T, Saffer BY. Recent advances in differentiating suicide attempters from suicide ideators. Curr Opin Psychiatr. 2017;30(1):15–20. https://doi.org/10.1097/yco.0000000000000294Google Scholar

23 Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, et al. The Columbia–Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatr. 2011;168(12):1266–1277. https://doi.org/10.1176/appi.ajp.2011.10111704Google Scholar

24 First MB. Structured clinical interview for the DSM (SCID). In: Cautin RL, Lilienfeld SO, editors. The encyclopedia of clinical psychology. John Wiley & Sons, Inc.; 2014. p. 1–6.Google Scholar

25 Centers for Disease Control and Prevention (CDC) . CDC COVID‐19 Community Survey Question Bank (DRAFT). 2020. Accessed 29 Aug 2023. https://cde.nlm.nih.gov/formView?tinyId=KcceysoltGoogle Scholar

26 Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD‐7. Arch Intern Med. 2006;166(10):1092–1097. https://doi.org/10.1001/archinte.166.10.1092Google Scholar

27 Kroenke K, Spitzer RL, Williams JB. The PHQ‐9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. https://doi.org/10.1046/j.1525‐1497.2001.016009606.xGoogle Scholar

28 Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption‐II. Addiction. 1993;88(6):791–804. https://doi.org/10.1111/j.1360‐0443.1993.tb02093.xGoogle Scholar

29 Ammerman BA, Burke TA, McClure K, Jacobucci R, Liu RT. A prospective examination of COVID‐19‐related social distancing practices on suicidal ideation. Suicide Life Threat Behav. 2021;51(5):969–977. https://doi.org/10.1111/sltb.12782Google Scholar

30 Millner AJ, Lee MD, Hoyt K, Buckholtz JW, Auerbach RP, Nock MK. Are suicide attempters more impulsive than suicide ideators? Gen Hosp Psychiatr. 2020;63:103–110. https://doi.org/10.1016/j.genhosppsych.2018.08.002Google Scholar

31 McLaughlin KA, Rosen ML, Kasparek SW, Rodman AM. Stress‐related psychopathology during the COVID‐19 pandemic. Behav Res Ther. 2022;154:104121. https://doi.org/10.1016/j.brat.2022.104121Google Scholar

32 Tyra AT, Griffin SM, Fergus TA, Ginty AT. Individual differences in emotion regulation prospectively predict early COVID‐19 related acute stress. J Anxiety Disord. 2021;81:102411. https://doi.org/10.1016/j.janxdis.2021.102411Google Scholar

33 Haver A, Krampe H, Danbolt LJ, Stålsett G, Schnell T. Emotion regulation moderates the association between COVID‐19 stress and mental distress: findings on buffering, exacerbation, and gender differences in a cross‐sectional study from Norway. Front Psychol. 2023;14:1121986. https://doi.org/10.3389/fpsyg.2023.1121986Google Scholar

34 Ayer L, Horowitz LM, Colpe L, Lowry NJ, Ryan PC, Boudreaux E, et al. Clinical pathway for suicide risk screening in adult primary care settings: special recommendations. J Acad Consult Liaison Psychiatry. 2022;63(5):497–510. https://doi.org/10.1016/j.jaclp.2022.05.003Google Scholar

35 Bolton JM, Gunnell D, Turecki G. Suicide risk assessment and intervention in people with mental illness. BMJ. 2015;351(h4978):h4978. https://doi.org/10.1136/bmj.h4978Google Scholar

36 Janakiraman R, Gowin JL, Sloan ME, Schwandt ML, Diazgranados N, Ramchandani VA, et al. History of suicidality and alcohol craving trajectories during inpatient treatment for alcohol use disorder. Drug Alcohol Depend. 2020;209:107918. https://doi.org/10.1016/j.drugalcdep.2020.107918Google Scholar

37 Conner KR, Bagge CL. Suicidal behavior: links between alcohol use disorder and acute use of alcohol. Alcohol Res. 2019;40(1). https://doi.org/10.35946/arcr.v40.1.02Google Scholar

38 Luk JW, LaCroix JM, Thompson MF, Darmour C, Perera KU, Goldston D, et al. Hazardous drinking and clinical correlates among suicidal patients receiving psychiatric inpatient care at military medical settings. Addict Behav. 2020;102:106178. https://doi.org/10.1016/j.addbeh.2019.106178Google Scholar

39 Conner KR, Kearns JC, Esposito EC, Pizzarello E, Wiegand TJ, Britton PC, et al. Pilot RCT of the Attempted Suicide Short Intervention Program (ASSIP) adapted for rapid delivery during hospitalization to adult suicide attempt patients with substance use problems. Gen Hosp Psychiatr2021;72:66–72. https://doi.org/10.1016/j.genhosppsych.2021.07.002Google Scholar

40 Godara M, Everaert J, Sanchez‐Lopez A, Joormann J, De Raedt R. Interplay between uncertainty intolerance, emotion regulation, cognitive flexibility, and psychopathology during the COVID‐19 pandemic: a multi‐wave study. Sci Rep. 2023;13(1):9854. https://doi.org/10.1038/s41598‐023‐36211‐3Google Scholar