Suicide and self-injury are difficult to predict because at-risk individuals are often unable or unwilling to report their intentions. Therefore, tools to reliably assess risk without reliance on self-report are critically needed. Prior research suggests that people who engage in suicidal and nonsuicidal self-injury often implicitly (i.e., outside conscious control) associate themselves with self-harm and death, indicating that self-harm-related implicit cognition may serve as a useful behavioral marker for suicide risk. However, earlier studies left several critical questions about the robustness, sensitivity, and specificity of self-harm-related implicit associations unaddressed. We recruited a large sample of participants (N=7,015) via a public web-based platform called Project Implicit Mental Health to test several hypotheses about self-harm-related implicit associations using the Implicit Association Test (IAT). Participants were randomly assigned to complete one of three self-harm IATs (Self + Cutting using picture stimuli, Self + Suicide using word stimuli, Self + Death using word stimuli). Results replicated prior studies demonstrating that self-harm-related implicit associations were stronger among individuals with (vs. without) a history of suicide attempt and nonsuicidal self-injury. Results also suggested that self-harm-related implicit associations are robust (based on internal replication), are sensitive to recency and severity of self-harm history (e.g., stronger associations for more recent and more lethal prior suicide attempts), and correlate with specific types of self-harm behaviors. These findings clarify the nature of self-harm-related implicit cognition and highlight the IAT's potential to track current risk for specific types of self-harm in ways that more fixed risk factors cannot.
Background In spite of the significant burden associated with substance use disorders, especially among persons who inject drugs (PWIDs), most affected individuals do not engage with any type of formal or informal treatment. Addiction stigma, which is represented by negative social attitudes toward individuals who use alcohol and/or other drugs, is one of the barriers to care that is poorly understood. The current study: a) assessed implicit (indirect and difficult to consciously control) and explicit (consciously controlled) beliefs about PWIDs among visitors to a public web site; and b) experimentally investigated the effects of ethnicity/race and gender on those implicit and explicit beliefs. Methods N=899 predominantly White (70%) and women (62%) were randomly assigned to one of six target PWIDs conditions: gender (man/woman) x race/ethnicity (White, Black, Latino/a). Participants completed an Implicit Association Test and explicit assessment of addiction stigma. Results Participants implicitly associated PWIDs (especially Latino/a vs. White PWIDs) with deserving punishment as opposed to help (p =.003, d = .31), indicating presence of addiction stigma-related implicit beliefs. However, this bias was not evident on the explicit measure (p = .89). Gender did not predict differential implicit or explicit addiction stigma (p = .18). Conclusions Contrary to explicit egalitarian views towards PWIDs, participants' implicit beliefs were more in line with addiction stigma. If replicated and clearer ties to behavior are established, results suggest the potential importance of identifying conditions under which implicit bias might influence behavior (even despite explicit egalitarian views) and increase the likelihood of discrimination towards PWIDs.
BackgroundHistorically, US federal policy has not supported harm reduction interventions, such as safe injection facilities (SIFs) and needle and syringe programs (NSPs), which can reduce the burden associated with injection drug use. Given recent increases in abuse of both legal and illegal opioids, there has been a renewed debate about effective ways to address this problem. The current study (1) assessed participants’ support for SIFs and NSPs, and (2) evaluated several demographic factors (e.g., age, gender, race, education, political ideology, and religiosity) and individual differences in stigmatizing beliefs about people who inject drugs (PWID) that might relate to support for these interventions.MethodsU.S. adults (N = 899) completed a web-based study that assessed self-reported support for NSPs and SIFs, and stigma about PWID.ResultsThe majority of participants were at least somewhat supportive of both NSPs and SIFs. Regression analyses indicated greater support for NSPs and SIFs was predicted by more liberal political ideology, more agreement that PWID deserve help rather than punishment, older age, and male gender. Also, participants who endorsed lower stigma about PWID were more supportive of NSPs and SIFs. Race, religiosity, and education did not predict support for NSPs and SIFs.ConclusionsMost participants tended to report support for harm reduction strategies. Age, political ideology, and individual differences in stigmatizing beliefs about PWID were significantly associated with support. Given the potential malleability of stigmatizing beliefs, efforts that seek to shift stigma about PWID could have important implications for public policy towards harm reduction strategies for PWID.
Background and objectives Implicit associations are relatively uncontrollable associations between concepts in memory. The current investigation focuses on implicit associations in four mental health domains (alcohol use, anxiety, depression, and eating disorders) and how these implicit associations: a) relate to explicit associations and b) self-reported clinical symptoms within the same domains, and c) vary based on demographic characteristics (age, gender, race, ethnicity, and education). Methods Participants (volunteers over age 18 to a research website) completed implicit association (Implicit Association Tests), explicit association (self+psychopathology or attitudes toward food, using semantic differential items), and symptom measures at the Project Implicit Mental Health website tied to: alcohol use (N=12,387), anxiety (N=21,304), depression (N=24,126), or eating disorders (N=10,115). Results Within each domain, implicit associations showed small to moderate associations with explicit associations and symptoms, and predicted self-reported symptoms beyond explicit associations. In general, implicit association strength varied little by race and ethnicity, but showed small ties to age, gender, and education. Limitations This research was conducted on a public research and education website, where participants could take more than one of the studies. Conclusions Among a large and diverse sample, implicit associations in the four domains are congruent with explicit associations and self-reported symptoms, and also add to our prediction of self-reported symptoms over and above explicit associations, pointing to the potential future clinical utility and validity of using implicit association measures with diverse populations.
Implicit cognitive processing is theorized to have a central role in many forms of psychopathology. In the current review, we focus on implicit associations, by which we mean evaluative representations in memory that are difficult to control and do not require conscious reflection to influence affect, cognition, or behavior. We consider definitional and measurement challenges before examining recent empirical evidence for these associations in anxiety, obsessive–compulsive, posttraumatic stress, depressive, and alcohol use disorders. This examination is framed by a brief review of the ways that prominent models of psychopathology represent biased implicit processing of disorder-relevant information. We consider to what extent models reflect more traditional automatic/implicit versus strategic/explicit dual-process perspectives or reflect more recent dynamical systems perspectives in which mental representations are iteratively reprocessed, evolving continuously. Finally, we consider the future research needed to better understand the interactive and temporal dynamics of implicit cognition in psychopathology.
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