A Validation Study of the Need for Affect Questionnaire–Short Form in Legal Contexts

Identifying Chinese social media users' need for affect from their online behaviors

The need for affect (NFA), which refers to the motivation to approach or avoid emotion-inducing situations, is a valuable indicator of mental health monitoring and intervention, as well as many other applications. Traditionally, NFA has been measured using self-reports, which is not applicable in today's online scenarios due to its shortcomings in fast, large-scale assessments. This study proposed an automatic and non-invasive method for recognizing NFA based on social media behavioral data. The NFA questionnaire scores of 934 participants and their social media data were acquired. Then we run machine learning algorithms to train predictive models, which can be used to automatically identify NFA degrees of online users. The results showed that Extreme Gradient Boosting (XGB) performed best among several algorithms. The Pearson correlation coefficients between predicted scores and NFA questionnaire scores achieved 0.25 (NFA avoidance), 0.31 (NFA approach) and 0.34 (NFA total), and the split-half reliabilities were 0.66-0.70. Our research demonstrated that adolescents' NFA can be identified based on their social media behaviors, and opened a novel way of non-intrusively perceiving users' NFA which can be used for mental health monitoring and other situations that require large-scale NFA measurements.

Preferences in Information Processing: Understanding Suicidal Thoughts and Behaviors among Active Duty Military Service Members

The present study examined Preferences in Information Processing (PIP), an emerging model of understanding suicidal thoughts and behaviors (STBs), in a clinical military sample for the first time. Constructs of need for affect (NFA; i.e., extent to which one engages or avoids emotional content) and need for cognition (NFC; i.e., extent of preference for and enjoyment of cognitive effort) are central individual differences of the PIP model hypothesized to be associated with STBs. Data (n = 200 active duty personnel) were drawn from medical records and self-report questionnaires from two outpatient treatment settings in a military hospital. Primary findings include: (1) moderate positive bivariate associations of NFA avoidance with mental health symptoms and lifetime STBs; (2) consistent patterns in which NFA approach buffers the negative associations of depression with life STBs, clinical suicide risk, perceived burdensomeness and thwarted belonging. Recommendations are offered for military suicide prevention, and future suicide theory testing.

Making the Case for a Preferences in Information Processing Model of Suicide

Introduction: In recent years, practice friendly models of suicidal behavior have emerged in the form of “ideation-to-action” frameworks. These frameworks focus on processes influencing both the formation of suicidal ideation and the translation of that ideation to suicide attempt and death. In this paper, we proffer an emerging model of suicide, Preferences in Information Processing (PIP), to augment contemporary suicide theories. First, we provide a primer on dual-process models of information processing theory and research as the foundation for the PIP. Next, drawing on a number of initial cross-sectional studies, we outline a rationale and examples of how preferences in motivated affect (i.e., Need for Affect) and cognition (i.e., Need for Cognition) may be integrated into existing ideation-to-action frameworks. Methods: We conducted secondary analysis of our pooled community sample PIP data. Results: We present new findings suggesting Need for Affect avoidance and Need for Cognition may be clinically relevant for persons at escalated risk for suicide. Discussion: The PIP offers new testable propositions within ideation-to-action suicide frameworks. We end with recommendations for a research agenda to further investigate the potential validation and utility of a PIP approach to suicidology.

Multidimensional Models of Perfectionism and Procrastination: Seeking Determinants of Both

Background: Perfectionism is currently conceptualized using a multidimensional model, with extensive research establishing the presence of both maladaptive and adaptive forms. However, the potential adaptability of procrastination, largely considered as a maladaptive construct, and its possible developmental connection to perfectionism remains unclear. The purpose of this study was to examine the individual differences of the multidimensional models of both perfectionism and procrastination, as well as investigating potential links between the two constructs. Methods: A convenience sample of 206 undergraduate students participated in this study. Participants completed a questionnaire consisting of 236 questions regarding the variables under investigation. Results: The adaptive model of procrastination yielded largely insignificant results and demonstrated limited links with adaptive perfectionism, while maladaptive procrastination was consistently associated with maladaptive perfectionism, lending further evidence of a unidimensional model of procrastination. Conclusions: Many previous findings regarding the multidimensional model of perfectionism were replicated, along with new contributions focusing on the dual-process model and temporal orientation.

Preferences in Information Processing, Marginalized Identity, and Non-Monogamy: Understanding Factors in Suicide-Related Behavior among Members of the Alternative Sexuality Community

Suicide-related behavior (SRB) is a mental health disparity experienced by the alternative sexuality community. We assessed mental health, relationship orientation, marginalized identities (i.e., sexual orientation minority, gender minority, racial minority, ethnic minority, and lower education), and preferences in information processing (PIP) as factors differentiating lifetime SRB groups. An online cross-sectional survey study was conducted in 2018. Members of the National Coalition for Sexual Freedom (NCSF; n = 334) took part. Bivariate analyses identified the following SRB risk factors: female and transgender/gender non-binary identity, sexual orientation minority identity, lower education, suicide attempt/death exposure, Need for Affect (NFA) Avoidance, depression, and anxiety. Monogamous relationship orientation was a protective factor. Multi-nomial regression revealed the following: (1) monogamous relationship orientation was a protective factor for suicidal ideation and attempt; (2) lower education was a risk factor for suicide attempt; (3) anxiety was a risk factor for suicide attempt; and (4) depression was a risk factor for suicidal ideation. A two-way interaction showed that elevated NFA Approach buffered the negative impacts of depression. Relationship orientation, several marginalized identities (i.e., based on gender, sexual orientation, and educational level), and PIP all contributed uniquely to SRB. Further study is necessary to understand the role of relationship orientation with suicide. Health education and suicide prevention efforts with NCSF should be tailored to account for marginalized identity, mental health, and NFA factors.

Preferences in Information Processing and suicide: Results from a young adult health survey in the United Kingdom

BACKGROUND

Suicide prevention literature currently suffers from inconsistent measurement and incomplete theoretical development.

AIMS

Using a recommended suicide measurement approach for epidemiological studies (i.e. the Suicidal Behaviors Questionnaire-Revised (SBQ-R)), the present investigation assessed United Kingdom young adult suicide prevalence rates. This study also investigated the utility of a Preferences in Information Processing (PIP) model of suicide in identifying those at increased odds for elevated suicide risk, as well as lifetime ideation and attempt.

METHOD

A cross-sectional mental health and well-being survey study ( n = 414) was conducted.

RESULTS

The prevalence rates of elevated risk (49.8%), lifetime ideation only (55.3%) and lifetime attempt (13.5%) were high. Bivariate associations demonstrated that elevated depression, anxiety and Need for Affect (NFA) Avoidance were associated with worsened suicide outcomes, whereas elevated Need for Cognition (NFC) was associated with decreased suicide risk. Logistic regression results identified depression and NFA Avoidance as the strongest predictors of elevated suicide risk. Multinomial logistic regression results established several PIP-based moderation effects for depression and anxiety in which NFA Approach and NFC differentially influenced odds of suicide attempt group membership.

CONCLUSION

The SBQ-R is an appropriate tool for UK young adult suicide research. NFA and NFC demonstrated potential for inclusion in young adult suicide prevention programming. Further research is needed to fully evaluate the PIP model of suicide and effectiveness of proposed theory-based approaches to suicide prevention.