Reflections on the 25th anniversary of Baumeister & Leary’s seminal paper on the need to belong

Ostracism Predicting Suicidal Behavior and Risk of Relapse in Substance Use Disorders

INTRODUCTION

The present study investigated the predictive relationship between ostracism and suicidal behaviors in individuals with substance use disorders. It also attempts to highlight the mediating role of the risk of relapse between ostracism and suicidal behavior.

METHODS

The study was based on a cross-sectional survey design. The sample comprised 100 men aged between 30 to 45 years (M = 35.25, SD = 3.06) from Karachi. The purposive sampling technique was employed. The study employed demographic forms and three self-reporting measures: the Ostracism Experience Scale (OES-A), the Advance Warning of Relapse Questionnaire 3.0 (AWARE), and the Suicide Behaviors Questionnaire-Revised (SBQ-R).

RESULTS

Ostracism significantly predicted relapse risk and suicidal behavior. Risk of relapse positively predicted both dimensions of ostracism (ignored: r = 0.33, p < 0.01; excluded: r = 0.43, p < 0.01) and suicidal behavior (r = 0.35, p < 0.01). Additionally, the risk of relapse strongly correlated with overall ostracism score (r = 0.43, p < 0.01). However, no significant mediating effect of ostracism on suicidal behavior was found. The effect was mediated through the risk of relapse (B indirect = 0.12, 95% CI = 0.04, 0.23). These findings suggest that ostracism increases the likelihood of recurrence, which in turn is associated with suicidal behavior. The mediation model explained 17% of the variation in suicidal behavior.

CONCLUSION

The findings propose the importance of addressing ostracism as a risk factor for suicidal behavior and relapse in substance use disorders. The results suggest that reducing the adverse effects of ostracism and improving social support for individuals can have a significant impact on their mental health.

Fear of Missing Out (FOMO): The Effects of the Need to Belong, Perceived Centrality, and Fear of Social Exclusion

“Fear of Missing Out” (FOMO) is an all-consuming feeling that is associated with mental and emotional stress. Such strains are caused by a compulsive concern that one is missing an opportunity for a socially rewarding experience often spotted on social media networks. While several personality and psychological factors have been empirically validated as correlated with FOMO, so far, little research has examined the effects of perceived group centrality (i.e., the extent to which group members feel included in the group) and fear of social exclusion on FOMO. Therefore, this study is aimed at examining the mechanism that links these socially driven factors and the need to belong with social media use and, consequently, FOMO, using structural equation modeling. A total of 490 college students ( $\text{mean}\text{age}=20.56,\text{SD}=1.44$ ) completed a self-reported questionnaire that included measures of FOMO, the need to belong, social media use, perceived centrality, and fear of social exclusion. The need to belong emerged as the best predictor of FOMO, increasing it both directly and indirectly through the significant mediation of social media use. Females reported a greater need to belong and consequently more FOMO. Females also reported greater use of social media and greater perceived group centrality. Perceived centrality increased FOMO through social media use, but this indirect effect was not significant.

"Where will I belong more?": The role of belonging comparisons between STEM fields in high school girls' STEM interest

In trying to understand women’s underrepresentation in STEM (Science, Technology, Engineering, Mathematics), most existing research focuses on one STEM-field or collapses across all STEM-fields. However, these fields differ vastly in female representation: women tend to be most strongly underrepresented in technological and computer science university majors and to a lesser extent in mathematics and chemistry, while they are less underrepresented in biological sciences. To understand this variability, we examine how girls in the process of making higher education choices compare different STEM-fields to each other. We draw upon dimensional comparison theory, which argues that educational motivation involves intra-individual comparisons of achievement across school subjects. However, previous research has shown that a focus on achievement in STEM is not enough, anticipated belonging in a STEM-field plays a pivotal role in interest in pursuing that field. Consistent with this, we examined participants’ comparisons of anticipated belonging across STEM-fields. A sample of 343 high school girls in STEM-focused university tracks completed a survey on their anticipated belonging and interest in pursuing different STEM majors. Latent Profile Analysis resulted in 3 profiles, showing different belonging comparison patterns across STEM-fields. Examining these comparisons—both within and across profiles—showed how girls felt pushed away from certain STEM-fields and pulled toward others. The findings suggest that for interest in pursuing specific STEM-fields it is not just about the level of anticipated belonging within that STEM-field, but just as much about the level of anticipated belonging in comparison to another STEM-field.