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

Abstract

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.

The prevalence of suicidal behavior and its associated factors among wives with polygamy marriage living in Gedeo zone, southern Ethiopia, 2020

“…The respondents with no formal education/ illiterate had AOR 3.83;95% CI (2.44–6.02) more likely to develop suicidal behavior as compared to those with primary education, which was supported by the study conducted in the United States [ 32 ] and meta-analysis done in five low and middle income countries (India, South Africa, Nepal, Uganda, and Ethiopia) [ 33 ].…”

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

“…In doing so, we have begun to integrate aspects of ideation-to-action frameworks (e.g., thwarted belonging and perceived burdensomeness). Specifically, NFA avoidance and approach, and to a lesser extent NFC, have been evaluated for two basic PIP premises: (1) PIP may be directly associated with suicide-related outcomes (e.g., ideation, behavior), and (2) PIP may amplify or dampen effects of other known suicide risk factors, namely depression and anxiety (Bryson et al, 2019;Cramer et al, 2016;Cramer, Franks, et al, 2020;Cramer, Langhinrichsen-Rohling, et al, 2020;Cramer, Mandracchia, et al, 2017). Exploring these PIP propositions has two goals.…”

“…In order to further refine what is known about PIP and suicide, we pooled data from community cross-sectional studies (Cramer et al, 2016;Cramer, Langhinrichsen-Rohling, et al, 2020;Cramer, Mandracchia, et al, 2017;Cramer, Rasmussen et al, 2019). All prior study methodologies and procedures were approved by University ethics/human subjects review boards and conducted in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.…”

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

“…Similar to personality traits, it is regarded as a relatively stable intrinsic character of human nature (1,2). NFA could help to explain individuals' differences in many critical mental aspects such as mental health (3)(4)(5)(6)(7)(8)(9), information preferences and decision making (10)(11)(12)(13)(14), social attitude [e.g., evaluation of self and others (15)(16)(17)(18), attitudes toward brands (19), attitudes toward job (20), attitudes toward the country (21), drugs (22)] and so on. It has also been found that NFA influences individual reactions to media and entertainment (23,24), political beliefs and ideology (16,25), legal decisions (26) and risk taking capacity (27).…”