Compared to active ideation, passive ideation remains relatively understudied and its clinical importance poorly defined. The weight that should be accorded passive ideation in clinical risk assessment is therefore unclear.

We conducted a systematic review and meta-analysis of the prevalence of passive ideation, its psychiatric comorbidity, associated sociodemographic characteristics, as well as psychological and environmental correlates. For reference, pooled effects were also calculated for direct comparisons of passive and active ideation with respect to potential correlates. Relevant articles published since inception to 9 September 2019 were identified through a systematic search of MEDLINE and PsycINFO.

A total of 86 studies were included in this review. The prevalence of passive ideation was high across sample types, ranging from 5.8% for 1-year prevalence to 10.6% for lifetime prevalence in the general population. Passive ideation was strongly associated with sexual minority status, psychiatric comorbidity, psychological characteristics implicated in risk, and suicide attempts. Preliminary evidence exists for a large association with suicide deaths. The effect sizes for individual correlates of passive and active ideation were largely equivalent and mostly non-significant in head-to-head comparisons.

Passive ideation is a prevalent clinical phenomenon associated with significant psychiatric comorbidity. Current evidence also suggests notable similarities exist between passive and active ideation in terms of psychiatric comorbidity and psychological and other characteristics traditionally associated with risk.

Over the past several years there has been considerable interest in the relation between emotion dysregulation and non-suicidal self-injury (NSSI), particularly given that rates of NSSI have been increasing and NSSI is a critical risk factor for suicidal behavior. To date, however, no synthesis of empirical findings exists.

The present study presents a comprehensive meta-analytic review of the literature on the association between NSSI and emotion dysregulation. A total of 48 publications, including 49 independent samples, were included in this analysis.

Overall, a significant association was found between emotion dysregulation and NSSI (pooled OR = 3.03 [95% CI = 2.56–3.59]). This association was reduced but remained significant (OR = 2.40 [95% CI = 2.01–2.86]) after adjustment for publication bias. Emotion dysregulation subscales most strongly associated with NSSI included limited access to regulation strategies, non-acceptance of emotional responses, impulse control difficulties, and difficulties engaging goal-directed behavior. Lack of emotional awareness/clarity and cognitive aspects of dysregulation yielded weaker, yet significant, positive associations with NSSI.

Findings support the notion that greater emotion dysregulation is associated with higher risk for NSSI among individuals across settings, regardless of age or sex. Furthermore, findings reveal facets of dysregulation that may have unique implications for NSSI. This meta-analysis highlights the importance of better understanding emotion dysregulation as a treatment target for preventing NSSI.

The aim of this study was to (1) understand types and amounts of Ebola-related information that health organization employees wanted and obtained through formal, informal, internal, and external organizational communication channels; (2) determine potential discrepancies between information wanted and obtained; and (3) investigate how organizational structure might affect information wanted and obtained through these communication channels.

Primary data were collected from 526 health workers in 9 hospitals and 13 public health departments in Texas from June to November 2015. Survey data were collected for 7 types of Ebola-related information health organization employees wanted and obtained through various types of organizational communication channels. Descriptive statistical analyses, mixed design analysis of variance, regression analyses, and multilevel analyses were used to analyze the data.

Hospital employees (mostly nurses in our sample) received more self-care information than they wanted from every communication channel. However, they received less about all other types of information than they wanted from every communication channel separately and combined. Public health department employees wanted more information than they received from every communication channel separately and combined for all 7 types of information.

Discrepancies existed between the types of Ebola-related information wanted and obtained by employees of hospitals and public health departments.