Next Article in Journal
An Exploratory Study of Shopping to Relieve Tension or Anxiety in Adolescents: Health Correlates and Gambling-Related Perceptions and Behaviors
Next Article in Special Issue
Subjective Wellbeing among University Students and Recent Graduates: Evidence from the United Kingdom
Previous Article in Journal
Kitchen Diet vs. Industrial Diets—Impact on Intestinal Barrier Parameters among Stroke Patients
Previous Article in Special Issue
Determinants of Student Loyalty in Higher Education: A Structural Equation Approach for the Bucharest University of Economic Studies, Romania
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex

by
Antonella Granieri
1,
Silvia Casale
2,
Maria Domenica Sauta
1 and
Isabella Giulia Franzoi
1,*
1
Department of Psychology, University of Turin, via Verdi 10, 10124 Turin, Italy
2
Department of Health Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(10), 6167; https://doi.org/10.3390/ijerph19106167
Submission received: 14 April 2022 / Revised: 13 May 2022 / Accepted: 17 May 2022 / Published: 19 May 2022
(This article belongs to the Special Issue Wellbeing and Mental Health among Students and Young People)

Abstract

:
The present study aimed to examine the link between attachment, personality traits, and suicidal ideation with consideration of the potential moderating role of age and sex. The Suicidal History Self-Rating Screening Scale, the Personality Inventory for DSM-5-Brief Form, and the Attachment Style Questionnaire were administered to 183 students. There was a significant indirect effect of need for approval on suicidal ideation via detachment. Moreover, the moderated mediation models of need for approval and preoccupation with relationships on suicidality via negative affectivity were significant in men, but not women, whereas the moderated mediation model of need for approval on suicidality via detachment was significant in women, but not men. Young men and women seem at risk for increased suicidal ideation based on specific attachment and personality characteristics, which should be considered for the development of prevention and therapeutic interventions.

1. Introduction

According to the World Health Organization [1,2], suicide deaths in 2019 amounted to over 700,000 worldwide, with rates in men being almost double those in women. Notably, despite having the most dramatic decline of over 40% during the past two decades, suicide rates in the European region were the highest among all of the WHO regions, which were 21.9 per 100,000 population in 2000 and 12.8 per 100,000 population in 2019. In Italy, the crude death rate for suicide in 2019 was 6.7 per 100,000 population. In particular, the statistics for causes of death gathered by the Italian National Institute of Statistics [3] in the last available year detected 3820 deaths because of suicide in 2018, of which 253 (6.6%) were in young adults aged 20–29 years. Moreover, men comprised 79% of the young adults dying due to suicide, which was the third most common cause of death, after accidents and malignant tumors [3].
Previous research has focused on suicidal behavior among young adults [4], and, in particular, university students [5,6], who are known to experience psychological distress and mental health problems at higher rates than do people in the general population and community peers [7,8,9]. Indeed, previous research has reported that 7.6% to 15% of university students have experienced suicidal behavior at least once in the past [10,11,12], and 15.1% to 16.2% of students have had suicidal thoughts at least once in their lifetime [11,13]. Moreover, current suicidal ideation is experienced by 20% of students [10], and suicidal risk by 13.1% [14].
Attachment theory offers a possible model to explain suicidal ideation and suicidal attempts based on early adverse parenting experiences resulting in the development of insecure attachments, which could act as a vulnerability factor for suicide risk later in adolescence or young adulthood [15]. Empirical evidence supports this perspective by showing that secure attachment protects against suicidal ideation [16]. In contrast, individuals who exhibit insecure attachment styles are at an increased risk of suicidality [17,18,19,20,21,22]. Specifically, the link between anxious attachment and suicidal ideation has been extensively investigated with results consistently showing a positive association in clinical samples [19]. A positive link has also been confirmed in undergraduate and graduate students [23,24,25]. A recent review by Zortea and colleagues [26] revealed higher levels of attachment anxiety in groups that experience suicidal ideation compared with controls, and a positive correlation between the level of attachment anxiety and suicidal ideation. Specifically, Riggs and Jacobvitz [27] showed that individuals in the anxious group reported the highest suicidal ideation.
To date, the potential mediators and moderators of the relationship between anxious/preoccupied attachment and suicidal ideation have been rarely investigated. In terms of moderators, the review by Zortea and colleagues [26] highlighted that very few studies investigating the relationship between suicidal ideation and insecure attachments controlled for age and sex, and claimed that further research is needed on this topic. Zeyrek and colleagues [25] examined the perceived likelihood of future suicidal behavior among university students and found that it was significantly correlated with preoccupied attachment style in women. Moreover, sex differences in suicidal intention and behavior have been reported worldwide [28,29,30,31].
Regarding mediators, attachment style has been shown to influence emotion regulation and the processing of negative affectivity [32,33]. Specifically, there is a positive relationship between an anxious attachment style and negative affectivity [34], and research has demonstrated that individuals with negative affectivity are at increased risk of suicidal ideation [35,36]. Moreover, suicidal ideation can be related to alexithymia and its interplay with emotion regulation. Indeed, alexithymia can leave young adults more vulnerable and cause psychological distress with subsequent suicidal ideation [37,38]. In such contexts, it is important to recognize alexithymic traits early and to design psychological treatments specifically focused on affective regulation [39,40].
Attachment styles were also shown to influence detachment and disconnection from interpersonal relationships [41]. Research showed a positive relationship between an anxious attachment style and withdrawal [42,43,44], and individuals with higher levels of social disconnection and loneliness are at increased risk of suicidal ideation [45,46,47]. Taken together, these findings suggest that negative affectivity and detachment mediate the link between insecure attachment and suicidal ideation.
In addition, recent research suggested that suicidal ideation and suicidal attempts have distinct risk and protective factors. For example, women show higher suicidality than men, but are less likely to commit suicide [2,48,49].

Present Study

In the current study, we sought to extend the literature on suicidal ideation in various respects. First, we re-examined the link between the anxious/preoccupied attachment dimensions (i.e., the need for approval and preoccupation with relationships) and suicidal ideation, with consideration of the potential moderating roles of age and sex. Second, we aimed to build upon previous results on the association between anxious/preoccupied attachment and suicidal ideation by exploring the mediating roles of negative affectivity and detachment. To the best of our knowledge, no study has investigated the relationship between the anxious/preoccupied attachment dimensions, negative affectivity, detachment, and suicidal ideation in university students by also controlling for sociodemographic characteristics.
Thus, we tested the following hypotheses:
Hypothesis 1 (H1).
University students’ suicidal ideation is correlated with sociodemographic characteristics (i.e., age and sex), the need for approval, preoccupation with relationships, negative affectivity, and detachment;
Hypothesis 2 (H2).
Personality dimensions (i.e., negative affectivity and detachment) mediate the relationship between attachment dimensions (i.e., need for approval and preoccupation with relationships) and suicidal ideation;
Hypothesis 3 (H3).
Sex moderates the association between negative affectivity and detachment, and suicidal ideation.

2. Materials and Methods

2.1. Study Design and Participants

This study was a descriptive cross-sectional study. Undergraduate students attending the University of Turin (UniTo) were recruited between October 2018 and February 2020, and enrollment was ended prematurely because of the spread of the COVID-19 pandemic. Inclusion criteria were participants aged between 18 and 29 years (emerging adults). The exclusion criterion was having a poor knowledge of the Italian language.
Enrollment was conducted through cooperation with professors, student representatives, departmental councils, and Heads of Departments. We contacted students in 35 (50.73%) out of the 69 bachelor’s degree courses and four (44.44%) out of the nine single-cycle master’s degree courses available at UniTo. Nine hundred and seventy-nine students indicated a willingness to participate in the study. Of these, only 183 (18.69%; women = 71.58%; mean age = 21.54 ± 2.15 years) students agreed to be tested. The remaining students were no longer available when contacted to arrange the study appointment. State and trait anxiety data of a subgroup of students were published previously [50].

2.2. Measures

The study involved the administration in pencil and paper of a survey, which included a series of self-report measures validated for the Italian population. The present research focuses on scores obtained from the Suicidal History Self-Rating Screening Scale (SHSS) [51], the Personality Inventory for DSM-5-Brief Form (PID-5-BF) [52,53], and the Attachment Style Questionnaire (ASQ) [54,55].
The ASQ is a 40-item self-report measure aimed at assessing adult attachment. It comprises five scales: Confidence (C); Relationship as Secondary (RS); Discomfort with Closeness (DC); Need for Approval (NA); and Preoccupation with Relationship (PR). Each item is rated on a six-point scale (ranging from 1 = ‘totally disagree’ to 6 = ‘totally agree’). For our study, we only analyzed the NA and the PR scales. The cut-off scores for the Italian sample were >25 for NA, which indicates an excessive need to gain approval, support, and responsiveness from others, and >33 for PR, which indicates an excessive strive for personal contact [56]. In our study, Cronbach’s alphas were 0.77 for NA and 0.71 for PR.
The SHSS is a 16-item measure assessing the propensity for suicide in terms of thoughts of death, suicidal ideation, and behavior. Participants were asked to answer eight yes/no questions based on the previous 12 months and eight yes/no questions based on their lifetime excluding the previous 12 months. For our study, we only used the total score. Higher total scores indicate more severe suicidal ideation, and scores > 8 indicate a high risk of suicidal behavior. In our study, Cronbach’s alpha was 0.88 for the total score.
The PID-5-BF is a 25-item dimensional self-report measure assessing five broad pathological personality traits: Negative Affectivity (NegA); Detachment (DE); Antagonism (A); Disinhibition (DI); and Psychoticism (P). Items were derived from the 220 items of the self-report Personality Inventory for DSM-5 [52,53]. Participants were asked to rate how accurately each item described themselves on a four-point scale (ranging from 0 = ‘very false or often false’ to 3 = ‘very true or often true’). Mean scores reflected the presence of each trait and overall personality dysfunction on a scale from 0 = ‘absent’ to 3 = ‘severe’. For our study, we only included the NegA and DE scales. Cronbach’s alphas were 0.66 for NegA and 0.71 for DE.
The scales were administered at the university in the presence of a psychologist or a trained post-graduate psychology student. The average time of completion was 39.79 ± 9.89 min (range 20–77 min).

2.3. Statistical Analysis

Data analyses were conducted using the Statistical Package for the Social Sciences (SPSS; IBM Corp., Armonk, NY, USA), version 27. First, descriptive statistics of the study variables were calculated. We then performed point-biserial and Pearson correlations to obtain an initial overview of the variables to be included in our moderated mediation model. All tests were two-tailed, and statistical significance was set at p ≤ 0.05. Finally, we conducted a moderated mediation analysis using the PROCESS macro for SPSS (version 3.5) [57] using model 15. We set suicidal ideation as a dependent variable, NA and PR as independent variables, NegA and DE as mediating variables, sex as a moderator, and age as a covariate. The PROCESS dialog box is set for only one independent variable; however, as suggested by Hayes [57], the direct and indirect effects of more than one X variable can be estimated by executing PROCESS k times, each time entering one independent variable in the model as X and the remaining independent variables as covariates. All resulting paths and direct and indirect effects will equate to all being estimated simultaneously. The direct and indirect effects were estimated using Preacher and Hayes’ [58] bias-corrected non-parametric bootstrapping techniques with 5000 bootstrap samples. We used the mean center for the construction of products. As suggested in previous studies [59], the significance of the mediation and moderated mediation effects were evaluated using 95% bias-corrected confidence intervals (CIs). If the CIs did not contain a zero, the effects were considered statistically significant.

3. Results

3.1. Sociodemographic and Clinical Characteristics of the Sample

The sample consists of 184 university students (71.58% females), aged between 18 and 29 (M = 21.54; SD = 0.15). Students’ mean scores suggested that the levels of NA (M = 23.12; SD = 6.43) and PR (M = 29.89; SD = 6.30) were in line with the normative data for the Italian population. However, 31.15% and 28.42% of the participants scored higher than the Italian cut-off scores for what concerns NA and PR, respectively. Moreover, students’ mean scores reflected mild levels of NegA (M = 1.39; SD = 0.62) and DE (M = 0.74; SD = 0.57). Regarding suicidal ideation, the mean SHSS score indicated not-at-risk (M = 1.98; SD = 2.86), and 3.28% of the sample was at risk of suicidal behaviors.

3.2. Preliminary Analyses for the Moderated Mediation Model

As expected (Table 1), suicidal ideation correlated moderately and positively with NA, PR, NegA, and DE. In addition, both NA and PR showed a moderate positive correlation with NegA and DE. Weak correlations were found between sex and NegA and DE. Weak negative correlations were also found among PR, NegA, and DE. Moreover, there was a weak negative correlation between age and sex.

3.3. Moderated Mediation Analysis

As reported in Table 2, the regression analysis for NegA, controlling for age, showed a significant positive effect of NA and PR. The interaction between sex and NA was not statistically significant. Overall, the predictors explained 33% of the variance observed in the NegA scores (F(3179) = 29.95, p < 0.001).
Controlling for age, we found a significant positive effect of NA on DE, but no significant effect of PR. Overall, the predictors explained 14% of the variance observed in the DE scores.
As shown in Table 3, controlling for age did not reveal any significant effects of NA or PR on suicidal ideation.
However, we found a positive and significant effect of NegA and DE on suicidal ideation. Sex was not a significant predictor of suicidal ideation. Moreover, we did not find significant effects of the interaction between sex and NA or sex and PR on suicidal ideation. However, the effects of the interaction between sex and NegA and sex and DE on suicidal ideation were significant. Overall, the predictors explained 28% of the variance observed in suicidal ideation (F(9173) = 7.345, p < 0.001). The inclusion of the interaction between sex and NegA in the regression model led to a change in R2 = 0.017 (F(1173) = 4.117, p = 0.044), and the inclusion of the interaction between sex and DE led to a change in R2 = 0.026 (F(1173) = 6.178, p = 0.014).
As shown in Table 4, we did not find a direct effect of NA and PR on suicidal ideation in men or women.
For the moderators, the simple slope analysis (Figure 1) of the interaction model showed a significant positive relationship between NegA and suicidal ideation in men (β = 2.186, standard error (SE) = 0.636, p =.001) but not in women (β = 0.473, SE = 0.438, p = 0.282).
Moreover, we found a significant positive relationship between DE and suicidal ideation in women (β = 1.804, SE = 0.441, p < 0.001) but not in men (β = 0.193, SE = 0.616, p = 0.755; Figure 2).
As shown in Table 5, the moderated mediation model of NA on suicidal ideation through NegA was significant in men, but not in women. Overall, the moderated mediation model was not significant. Moreover, the moderated mediation model of NA on suicidal ideation through DE was significant in women, but not in men. Overall, this moderated mediation model was significant.
As shown in Table 6, the moderated mediation model of PR on suicidal ideation through NegA was significant in men, but not in women, whereas the moderated mediation model of PR on suicidal ideation through DE was not significant in men or women. Overall, neither of the two moderated mediation models was significant.
Figure 3 illustrates the final moderated mediation model with its coefficients.

4. Discussion

This study examined suicidal ideation in undergraduate students by examining its association with sex, anxious/preoccupied attachment dimensions (i.e., NA and PR), and personality dimensions (i.e., NegA and DE).
Our data suggested a lower suicidal risk in our sample than that found in previous studies on university students, although this discrepancy may be due to differences in outcome measures [10,11,13,14]. Nevertheless, we cannot neglect the risk of suicidal behaviors observed in 3.28% of our sample.
Concerning our first hypothesis, consistent with the literature, suicidal ideation in students was positively correlated with NA, PR, NegA, and DE [35,36,60,61]. Moreover, both NA and PR showed a positive and significant correlation with NegA and DE.
In contrast to previous research, sex was only negatively correlated with NegA and DE, but not with personality dimensions [62,63,64]. For the hypothesized covariate, age correlated negatively with PR, negative affect, and DE, as expected [65,66,67].
With respect to our moderated mediation models, we found a significant positive effect of NA and PR on NegA, and a significant positive effect of NA on DE, which was in line with our second hypothesis. This is consistent with previous research showing that aversive mood states and difficulties in emotion regulation are strongly related to suicidal ideation [68]. Moreover, previous research has highlighted that individuals who grew up in difficult caregiving environments with corresponding insecure attachment representations often show deficits in the development of affect regulation strategies [69,70,71], and are more likely to exhibit a history of suicidal ideation [72].
For our moderated mediation models, we also found a significant positive effect of NegA and DE on suicidal ideation, which suggested that frequent and intense experiences of negative emotions (i.e., guilt, fear, or shame), avoidance of social-emotional experiences, and withdrawal from interpersonal relationships lead to impaired vitality and a lowered investment in life.
Contrary to previous research [26], we found no significant direct effects of attachment dimensions (NA and PR) on suicidal ideation, and the only overall significant indirect effect was that of NA on suicidal ideation via DE. Furthermore, surprisingly and in contrast to previous studies [25,73,74], sex was not a significant predictor of suicidal ideation, and we did not reveal significant effects of the interaction between sex and NA, and sex and PR.
However, the role of sex was crucial when we considered the effect of its interaction with personality dimensions (NegA and DE) on suicidal ideation. Indeed, we found a significant positive association between NegA and suicidality in men, but not in women, and a significant positive association between DE and suicidality in women, but not in men. Moreover, the moderated mediation models of NA and PR on suicidality via NegA were significant in men, but not in women, whereas the moderated mediation model of NA on suicidality via DE was significant in women, but not in men.
Such results confirm that suicidal ideation in young adults is complex and multidimensional [75]. During the emerging adulthood stage, young women and men must develop a stable adult identity, morals and ethics, harmonious family and group relationships, engagement in the community, educational attainment, and capabilities to confront and act on reality. This process can be profoundly undermined and derailed by unresolved conflicts that are linked to previous developmental stages and earlier disharmonies, and also by relational, economical, academic, and occupational difficulties [76]. Affective flooding and regression toward more primitive modes of thought, defenses, and modes of relating are common [77]. Moreover, emerging adults can experience important fluctuations in recognizing their genuine qualities and capacities, along with the feeling of consistency between who they feel they are and how they are experienced by others [77,78]. Their relative lack of life experiences, combined with idealized aspirational fantasies, and the feeling that every decision changes the course of their future, can lead to a sense of personal crisis, severe judgment, and attack of the self, which heightens their vulnerability to suicide [77,79].
In this context, our study suggests that different paths lead to higher suicidal risk depending on the sex of the emerging adult. For men, suicidality was increased by NegA, which also mediated the impact of NA and PR on suicidality. The need to gain approval, support, and responsiveness from others, as well as the strive for personal contact may improve suicidal risk indirectly, but they may also increase the tendency to experience unpleasant feelings, lability, or restricted emotionality. Therefore, suicidal ideation can be considered an extreme and dysregulated attempt to deal with these feelings and seek help [75].
In contrast, for women, suicidal ideation was increased by DE, which also mediated the impact of NA on suicidality. Thus, negative self-image and the strive for personal contact may heighten suicidal risk indirectly, but may also increase a women’s need to protect themselves from the risk of being engulfed or abandoned in their intimate relationships, which leads to interpersonal withdrawal and isolation. This feeling of disconnection from significant others and the external world can lead to a sense of mental disintegration, which sustains suicidal ideation [80].
Further investigation on the relationship between attachment styles, suicidal ideation, and affective regulation may provide a more comprehensive picture of the plight of university students. Moreover, it may help to develop and implement effective programs and training strategies to address suicidal ideation by considering specific risk factors connected to sex [81,82,83].

Limitations and Future Directions

This study has several critical limitations. First, we enrolled a convenience sample of Italian undergraduate students from only one university, which limits the generalizability of the present results. Future studies should involve community and clinical samples. Second, some of the scales included in our model, particularly the NegA scale, had limited reliability. Furthermore, the cross-sectional design did not allow for causal inferences to be made; theoretically, it is plausible that attachment styles and personality predict suicidal ideation, rather than the opposite. In any case, we should be cautious in interpreting the present findings as supporting the existence of predictive links between the studied variables and suicidal ideation. Further longitudinal studies are needed to explore the development of university students’ distress over time and its association with other clinical and social variables. Moreover, psychological variables were assessed using self-report measures; as such, future studies should also consider clinical and observational data. Finally, in our study we considered the sex and not the gender variable. Indeed, few studies on suicidal ideation investigated gender-related facets from social, psychological, and cultural perspectives [84,85]. Thus, future research should also consider gender differences and consider their impact on suicide risk.

5. Conclusions

Despite these limitations, the present study is the first to explore suicidal ideation in undergraduate students, focusing on anxious/preoccupied attachment (i.e., NA and PR) and personality dimensions (i.e., NegA and DE) and considering sociodemographic characteristics. There is a growing consensus that more comprehensive services should be provided to support students with mental health concerns [86]: our findings strongly suggest that young men and women are at an increased risk of suicidal ideation depending on different attachment and personality characteristics, which must be considered for the development of prevention and therapeutic interventions targeted at university students. In particular, difficulties in managing negative emotions were shown to be a critical factor for young men, whereas young women who experience interpersonal withdrawal and mistrust were particularly vulnerable to suicide. Thus, although it is not only emerging adults with these characteristics that must be considered at higher risk of suicidal ideation, interventions should target emotion regulation strategies, particularly in young men, and recovering the possibility of an investment in the external world, particularly in young women.

Author Contributions

Conceptualization, I.G.F.; Data curation, M.D.S. and I.G.F.; Formal analysis, S.C. and I.G.F.; Investigation, M.D.S. and I.G.F.; Methodology, A.G., S.C. and I.G.F.; Project administration, I.G.F.; Resources, A.G., S.C., M.D.S. and I.G.F.; Supervision, A.G.; Writing—original draft, S.C. and I.G.F.; Writing—review and editing, A.G., S.C., M.D.S. and I.G.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was reviewed and approved by the Institutional Review Board of the University of Turin (protocol number 162317, dated 19 April 2018). All participants received a full description of the study and provided informed and written consent before entering the study. All research procedures were conducted in accordance with the ethical standards of the committees responsible for human experimentation (institutional and national) and with the Helsinki Declaration of 1975 (as revised in 2013).

Informed Consent Statement

Informed written consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. World Health Organisation. Suicide: Key Facts. 2019. Available online: https://www.who.int/news-room/fact-sheets/detail/suicide (accessed on 16 February 2021).
  2. World Health Organization. Suicide Worldwide in 2019. Available online: https://www.who.int/publications/i/item/9789240026643 (accessed on 1 October 2021).
  3. Istat.it. 2022. Istat.it Suicides. Available online: https://www.istat.it/it/archivio/suicides (accessed on 25 March 2022).
  4. Hooven, C.; Snedker, K.A.; Thompson, E.A. Suicide Risk at Young Adulthood. Youth Soc. 2011, 44, 524–547. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Bernanke, J.A.; Stanley, B.H.; Oquendo, M.A. Toward fine-grained phenotyping of suicidal behavior: The role of suicidal subtypes. Mol. Psychiatry 2017, 22, 1080–1081. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Pillay, J. Suicidal behaviour among university students: A systematic review. S. Afr. J. Psychol. 2021, 51, 54–66. [Google Scholar] [CrossRef]
  7. Cvetkovski, S.; Jorm, A.F.; MacKinnon, A.J. An analysis of the mental health trajectories of university students compared to their community peers using a national longitudinal survey. Stud. High. Educ. 2017, 44, 185–200. [Google Scholar] [CrossRef] [Green Version]
  8. Franzoi, I.; D’Ovidio, F.; Costa, G.; D’Errico, A.; Granieri, A. Self-Rated Health and Psychological Distress among Emerging Adults in Italy: A Comparison between Data on University Students, Young Workers and Working Students Collected through the 2005 and 2013 National Health Surveys. Int. J. Environ. Res. Public Health 2021, 18, 6403. [Google Scholar] [CrossRef]
  9. Granieri, A.; Franzoi, I.G.; Chung, M.C. Editorial: Psychological Distress among University Students. Front. Psychol. 2021, 12, 647940. [Google Scholar] [CrossRef]
  10. Chesin, M.S.; Jeglic, E.L. Suicidal Behavior among Latina College Students. Hisp. J. Behav. Sci. 2012, 34, 421–436. [Google Scholar] [CrossRef]
  11. Poorolajal, J.; Ghaleiha, A.; Darvishi, N.; Daryaei, S.; Panahi, S. The Prevalence of Psychiatric Distress and Associated Risk Factors among College Students Using GHQ-28 Questionnaire. Iran. J. Public Health 2017, 46, 957–963. [Google Scholar]
  12. Tang, F.; Byrne, M.; Qin, P. Psychological distress and risk for suicidal behavior among university students in contemporary China. J. Affect. Disord. 2018, 228, 101–108. [Google Scholar] [CrossRef]
  13. Oyekcin, D.G.; Sahin, E.M.; Aldemir, E. Mental health, suicidality and hopelessness among university students in Turkey. Asian J. Psychiatry 2017, 29, 185–189. [Google Scholar] [CrossRef]
  14. Torres, C.; Otero, P.; Bustamante, B.; Blanco, V.; Díaz, O.; Vázquez, F.L. Mental Health Problems and Related Factors in Ecuadorian College Students. Int. J. Environ. Res. Public Health 2017, 14, 530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Adam, K.S. Suicidal behavior and attachment: A developmental model. In Attachment in Adults: Clinical and Developmental Perspectives; Sperling, M.B., Berman, W.H., Eds.; Guilford Press: New York, NY, USA, 1994; pp. 275–298. [Google Scholar]
  16. Salzinger, S.; Rosario, M.; Feldman, R.S.; Ng-Mak, D.S. Adolescent Suicidal Behavior: Associations with Preadolescent Physical Abuse and Selected Risk and Protective Factors. J. Am. Acad. Child Adolesc. Psychiatry 2007, 46, 859–866. [Google Scholar] [CrossRef] [PubMed]
  17. Adam, K.S.; Sheldon-Keller, A.E.; West, M. Attachment organization and history of suicidal behavior in clinical adolescents. J. Consult. Clin. Psychol. 1996, 64, 264–272. [Google Scholar] [CrossRef] [PubMed]
  18. Grunebaum, M.F.; Galfalvy, H.; Mortenson, L.Y.; Burke, A.K.; Oquendo, M.A.; Mann, J.J. Attachment and social adjustment: Relationships to suicide attempt and major depressive episode in a prospective study. J. Affect. Disord. 2010, 123, 123–130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Lessard, J.C.; Moretti, M.M. Suicidal ideation in an adolescent clinical sample: Attachment patterns and clinical implications. J. Adolesc. 1998, 21, 383–395. [Google Scholar] [CrossRef] [PubMed]
  20. Lizardi, D.; Thompson, R.G.; Keyes, K.; Hasin, D. The Role of Depression in the Differential Effect of Childhood Parental Divorce on Male and Female Adult Offspring Suicide Attempt Risk. J. Nerv. Ment. Dis. 2010, 198, 687–690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Sheftall, A.H.; Mathias, C.W.; Furr, R.M.; Dougherty, D.M. Adolescent attachment security, family functioning, and suicide attempts. Attach. Hum. Dev. 2013, 15, 368–383. [Google Scholar] [CrossRef] [Green Version]
  22. Stepp, S.D.; Morse, J.Q.; Yaggi, K.E.; Reynolds, S.K.; Reed, L.I.; Pilkonis, P.A. The Role of Attachment Styles and Interpersonal Problems in Suicide-Related Behaviors. Suicide Life Threat. Behav. 2008, 38, 592–607. [Google Scholar] [CrossRef] [Green Version]
  23. Park, Y.; Heo, G.M.; Lee, R. Blogging for Informal Learning: Analyzing Bloggers’ Perceptions Using Learning Perspective. J. Educ. Technol. Soc. 2011, 14, 149–160. [Google Scholar]
  24. Violato, C.; Arato, J. Childhood Attachment and Adolescent Suicide: A Stepwise Discriminant Analysis in a Case—Comparison Study. Individ. Differ. Res. 2004, 2, 162–168. [Google Scholar]
  25. Zeyrek, E.Y.; Gencoz, F.; Bergman, Y.; Lester, D. Suicidality, Problem-Solving Skills, Attachment Style, and Hopelessness in Turkish Students. Death Stud. 2009, 33, 815–827. [Google Scholar] [CrossRef] [PubMed]
  26. Zortea, T.C.; Gray, C.M.; O’Connor, R.C. The Relationship between Adult Attachment and Suicidal Thoughts and Behaviors: A Systematic Review. Arch. Suicide Res. 2019, 25, 38–73. [Google Scholar] [CrossRef] [PubMed]
  27. Riggs, S.A.; Jacobvitz, D. Expectant parents’ representations of early attachment relationships: Associations with mental health and family history. J. Consult. Clin. Psychol. 2002, 70, 195–204. [Google Scholar] [CrossRef] [PubMed]
  28. Arafat, S.Y. Females are dying more than males by suicide in Bangladesh. Asian J. Psychiatry 2018, 40, 124–125. [Google Scholar] [CrossRef]
  29. Harriss, L.; Hawton, K.; Zahl, D. Value of measuring suicidal intent in the assessment of people attending hospital following self-poisoning or self-injury. Br. J. Psychiatry 2005, 186, 60–66. [Google Scholar] [CrossRef] [Green Version]
  30. Freeman, A.; Mergl, R.; Kohls, E.; Székely, A.; Gusmão, R.; Arensman, E.; Koburger, N.; Hegerl, U.; Rummel-Kluge, C. A cross-national study on gender differences in suicide intent. BMC Psychiatry 2017, 17, 234. [Google Scholar] [CrossRef] [Green Version]
  31. O’Loughlin, S.; Sherwood, J. A 20-year review of trends in deliberate self-harm in a British town, 1981–2000. Soc. Psychiatry 2005, 40, 446–453. [Google Scholar] [CrossRef]
  32. Griffin, D.W.; Bartholomew, K. Models of the self and other: Fundamental dimensions underlying measures of adult attachment. J. Pers. Soc. Psychol. 1994, 67, 430–445. [Google Scholar] [CrossRef]
  33. Sheinbaum, T.; Kwapil, T.R.; Ballespí, S.; Mitjavila, M.; Chun, C.; Silvia, P.J.; Barrantes-Vidal, N. Attachment style predicts affect, cognitive appraisals, and social functioning in daily life. Front. Psychol. 2015, 6, 296. [Google Scholar] [CrossRef] [Green Version]
  34. Deniz, M.E.; Işık, E. Positive and Negative Affect, Life Satisfaction, and Coping with Stress by Attachment Styles in Turkish Students. Psychol. Rep. 2010, 107, 480–490. [Google Scholar] [CrossRef]
  35. Armey, M.F.; Brick, L.; Schatten, H.T.; Nugent, N.; Miller, I.W. Ecologically assessed affect and suicidal ideation following psychiatric inpatient hospitalization. Gen. Hosp. Psychiatry 2018, 63, 89–96. [Google Scholar] [CrossRef] [PubMed]
  36. Humber, N.; Emsley, R.; Pratt, D.; Tarrier, N. Anger as a predictor of psychological distress and self-harm ideation in inmates: A structured self-assessment diary study. Psychiatry Res. 2013, 210, 166–173. [Google Scholar] [CrossRef] [PubMed]
  37. Joukamaa, M.; Taanila, A.; Miettunen, J.; Karvonen, J.T.; Koskinen, M.; Veijola, J. Epidemiology of alexithymia among adolescents. J. Psychosom. Res. 2007, 63, 373–376. [Google Scholar] [CrossRef] [PubMed]
  38. De Berardis, D.; Fornaro, M.; Orsolini, L.; Ventriglio, A.; Vellante, F.; Di Giannantonio, M. Emotional Dysregulation in Adolescents: Implications for the Development of Severe Psychiatric Disorders, Substance Abuse, and Suicidal Ideation and Behaviors. Brain Sci. 2020, 10, 591. [Google Scholar] [CrossRef]
  39. Parker, J.D.A.; Eastabrook, J.M.; Keefer, K.V.; Wood, L.M. Can alexithymia be assessed in adolescents? Psychometric properties of the 20-item Toronto Alexithymia Scale in younger, middle, and older adolescents. Psychol. Assess. 2010, 22, 798–808. [Google Scholar] [CrossRef]
  40. Terock, J.; Janowitz, D.; Grabe, H.J.; Freyberger, H.J.; Schneider, W.; Klauer, T. Alexithymia and Psychotherapeutic Treatment Motivation: Main and Interactional Effects on Treatment Outcome. Psychother. Psychosom. 2017, 86, 185–186. [Google Scholar] [CrossRef]
  41. Zimberoff, D.; Hartman, D. Attachment, detachment, nonattachment: Achieving synthesis. J. Heart Cent. Ther. 2002, 5, 3–94. [Google Scholar]
  42. Bohlin, G.; Hagekull, B.; Rydell, A. Attachment and Social Functioning: A Longitudinal Study from Infancy to Middle Childhood. Soc. Dev. 2000, 9, 24–39. [Google Scholar] [CrossRef]
  43. Chen, B.-B.; Santo, J.B. Mother–Child Attachment and Social Withdrawal in Urban Chinese Children. Soc. Behav. Pers. Int. J. 2016, 44, 233–245. [Google Scholar] [CrossRef]
  44. Rubin, K.H.; Dwyer, K.M.; Booth-LaForce, C.; Kim, A.H.; Burgess, K.B.; Rose-Krasnor, L. Attachment, Friendship, and Psychosocial Functioning in Early Adolescence. J. Early Adolesc. 2004, 24, 326–356. [Google Scholar] [CrossRef]
  45. Calati, R.; Cohen, L.J.; Schuck, A.; Levy, D.; Bloch-Elkouby, S.; Barzilay, S.; Rosenfield, P.J.; Galynker, I. The Modular Assessment of Risk for Imminent Suicide (MARIS): A validation study of a novel tool for suicide risk assessment. J. Affect. Disord. 2019, 263, 121–128. [Google Scholar] [CrossRef] [PubMed]
  46. Gomboc, V.; Krohne, N.; Lavrič, M.; Podlogar, T.; Poštuvan, V.; Šedivy, N.Z.; De Leo, D. Emotional and Social Loneliness as Predictors of Suicidal Ideation in Different Age Groups. Community Ment. Health J. 2021, 58, 311–320. [Google Scholar] [CrossRef] [PubMed]
  47. Shaw, R.J.; Cullen, B.; Graham, N.; Lyall, D.M.; Mackay, D.; Okolie, C.; Pearsall, R.; Ward, J.; John, A.; Smith, D.J. Living alone, loneliness and lack of emotional support as predictors of suicide and self-harm: A nine-year follow up of the UK Biobank cohort. J. Affect. Disord. 2020, 279, 316–323. [Google Scholar] [CrossRef] [PubMed]
  48. Kumar, K.K.; Sattar, F.A.; Bondade, S.; Hussain, M.S.; Priyadarshini, M. A gender-specific analysis of suicide methods in deliberate self-harm. Indian J. Soc. Psychiatry 2017, 33, 7. [Google Scholar] [CrossRef]
  49. Tsirigotis, K.; Gruszczyński, W.; Tsirigotis-Maniecka, M. Gender Differentiation in Indirect Self-Destructiveness and Suicide Attempt Methods (Gender, Indirect Self-Destructiveness, and Suicide Attempts). Psychiatr. Q. 2013, 85, 197–209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Franzoi, I.G.; Sauta, M.D.; Granieri, A. State and Trait Anxiety Among University Students: A Moderated Mediation Model of Negative Affectivity, Alexithymia, and Housing Conditions. Front. Psychol. 2020, 11, 1255. [Google Scholar] [CrossRef]
  51. Innamorati, M.; Pompili, M.; Serafini, G.; Lester, D.; Erbuto, D.; Amore, M.; Tatarelli, R.; Girardi, P. Psychometric Properties of the Suicidal History Self-Rating Screening Scale. Arch. Suicide Res. 2011, 15, 87–92. [Google Scholar] [CrossRef]
  52. Fossati, A.; Krueger, R.F.; Markon, K.E.; Borroni, S.; Maffei, C. Reliability and Validity of the Personality Inventory for DSM-5 (PID-5). Assessment 2013, 20, 689–708. [Google Scholar] [CrossRef]
  53. Krueger, R.F.; Derringer, J.; Markon, K.E.; Watson, D.; Skodol, A.E. Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychol. Med. 2011, 42, 1879–1890. [Google Scholar] [CrossRef] [Green Version]
  54. Feeney, J.A.; Noller, P.; Hanrahan, M. Assessing adult attachment. In Attachment in Adults: Clinical and Developmental Perspectives; Sperling, M.B., Berman, W.H., Eds.; Guilford Press: New York, NY, USA, 1994; pp. 128–152. [Google Scholar]
  55. Fossati, A.; Feeney, J.A.; Donati, D.; Donini, M.; Novella, L.; Bagnato, M.; Acquarini, E.; Maffei, C. On the Dimensionality of the Attachment Style Questionnaire in Italian Clinical and Nonclinical Participants. J. Soc. Pers. Relationsh. 2003, 20, 55–79. [Google Scholar] [CrossRef]
  56. Fossati, A.; Somma, A.; Borroni, S.; Markon, K.E.; Krueger, R.F. The Personality Inventory for DSM-5 Brief Form: Evidence for Reliability and Construct Validity in a Sample of Community-Dwelling Italian Adolescents. Assessment 2015, 24, 615–631. [Google Scholar] [CrossRef] [PubMed]
  57. Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, 2nd ed.; Guilford Press: New York, NY, USA, 2018. [Google Scholar]
  58. Preacher, K.J.; Hayes, A.F. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods Instrum. Comput. 2004, 36, 717–731. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Jin, H.; Wang, W.; Lan, X. Peer Attachment and Academic Procrastination in Chinese College Students: A Moderated Mediation Model of Future Time Perspective and Grit. Front. Psychol. 2019, 10, 2645. [Google Scholar] [CrossRef] [Green Version]
  60. Al-Dajani, N.; Uliaszek, A.A. The after-effects of momentary suicidal ideation: A preliminary examination of emotion intensity changes following suicidal thoughts. Psychiatry Res. 2021, 302, 114027. [Google Scholar] [CrossRef] [PubMed]
  61. Han, Y.; Jang, J.; Cho, E.; Choi, K.-H. Investigating how individual differences influence responses to the COVID-19 crisis: The role of maladaptive and five-factor personality traits. Pers. Individ. Differ. 2021, 176, 110786. [Google Scholar] [CrossRef]
  62. Chen, C.-Y.; Squires, J.; Heo, K.H.; Bian, X.; Chen, C.-I.; Filgueiras, A.; Xie, H.; Murphy, K.; Dolata, J.; Landeira-Fernandez, J. Cross Cultural Gender Differences in Social-emotional Competence of Young Children: Comparisons with Brazil, China, South Korea, and the United States. Ment. Health Fam. Med. 2015, 11, 59–68. [Google Scholar] [CrossRef] [Green Version]
  63. Park, S.; Jang, H. Correlations between suicide rates and the prevalence of suicide risk factors among Korean adolescents. Psychiatry Res. 2018, 261, 143–147. [Google Scholar] [CrossRef]
  64. Veronese, G.; Procaccia, R.; Romaioli, D.; Barola, G.; Castiglioni, M. Psychopathological Organizations and Attachment Styles in Patients with Fear of Flying: A Case Study. Open Psychol. J. 2013, 6, 20–27. [Google Scholar] [CrossRef] [Green Version]
  65. Charles, S.T.; Carstensen, L.L. Emotion regulation and aging. In Handbook of Emotion Regulation; Gross, J.J., Ed.; The Guilford Press: New York, NY, USA, 2007; pp. 307–327. [Google Scholar]
  66. Hirsch, J.K.; Wolford, K.; LaLonde, S.M.; Brunk, L.; Morris, A.P. Dispositional Optimism as a Moderator of the Relationship Between Negative Life Events and Suicide Ideation and Attempts. Cogn. Ther. Res. 2007, 31, 533–546. [Google Scholar] [CrossRef]
  67. Shallcross, A.J.; Ford, B.Q.; Floerke, V.A.; Mauss, I.B. Getting better with age: The relationship between age, acceptance, and negative affect. J. Pers. Soc. Psychol. 2013, 104, 734, Correction to J. Pers. Soc. Psychol. 2013, 105, 718–719. [Google Scholar] [CrossRef] [Green Version]
  68. Franklin, J.C.; Ribeiro, J.D.; Fox, K.R.; Bentley, K.H.; Kleiman, E.M.; Huang, X.; Musacchio, K.M.; Jaroszewski, A.C.; Chang, B.P.; Nock, M.K. Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychol. Bull. 2017, 143, 187–232. [Google Scholar] [CrossRef] [PubMed]
  69. Bhola, P.; Kharsati, N. Self-injurious behavior, emotion regulation, and attachment styles among college students in India. Ind. Psychiatry J. 2016, 25, 23–28. [Google Scholar] [CrossRef] [PubMed]
  70. Wei, M.; Vogel, D.L.; Ku, T.-Y.; Zakalik, R.A. Adult Attachment, Affect Regulation, Negative Mood, and Interpersonal Problems: The Mediating Roles of Emotional Reactivity and Emotional Cutoff. J. Couns. Psychol. 2005, 52, 14–24. [Google Scholar] [CrossRef] [Green Version]
  71. Yates, T.M. The developmental psychopathology of self-injurious behavior: Compensatory regulation in posttraumatic adaptation. Clin. Psychol. Rev. 2004, 24, 35–74. [Google Scholar] [CrossRef] [PubMed]
  72. Campos, R.C.; Gomes, M.; Holden, R.R.; Piteira, M.; Rainha, A. Does psychache mediate the relationship between general distress and suicide ideation? Death Stud. 2016, 41, 241–245. [Google Scholar] [CrossRef] [PubMed]
  73. Miniati, M.; Callari, A.; Pini, S. Adult Attachment Style and Suicidality. Psychiatr. Danub. 2017, 29, 250–259. [Google Scholar] [CrossRef] [Green Version]
  74. Pereira, A.A.G.; Cardoso, F.M.D.S. Searching for Psychological Predictors of Suicidal Ideation in University Students. Psicol. Teor. Pesqui. 2018, 33, e33420. [Google Scholar] [CrossRef] [Green Version]
  75. Goldblatt, M.J.; Briggs, S.; Lindner, R.; Schechter, M.; Ronningstam, E. Psychodynamic psychotherapy with suicidal adolescents. Psychoanal. Psychother. 2015, 29, 20–37. [Google Scholar] [CrossRef] [Green Version]
  76. Miller, J.M. Young or Emerging Adulthood: A Psychoanalytic View. Psychoanal. Study Child 2017, 70, 8–21. [Google Scholar] [CrossRef]
  77. Schechter, M.; Herbstman, B.; Ronningstam, E.; Goldblatt, M.J. Emerging Adults, Identity Development, and Suicidality: Implications for Psychoanalytic Psychotherapy. Psychoanal. Study Child 2018, 71, 20–39. [Google Scholar] [CrossRef]
  78. Bonovitz, C. All but dissertation (ABD), all but parricide (ABP): Young adulthood as a developmental period and the crisis of separation. Psychoanal. Psychol. 2018, 35, 142–148. [Google Scholar] [CrossRef]
  79. Shulman, S. The Emerging Adulthood Years: Finding One’s Way in Career and Intimate Love Relationships. Psychoanal. Study Child 2017, 70, 40–62. [Google Scholar] [CrossRef]
  80. Anderson, J.; Hurst, M.; Marques, A.; Millar, D.; Moya, S.; Pover, L.; Stewart, S. Understanding suicidal behaviour in young people referred to specialist CAMHS: A qualitative psychoanalytic clinical research project. J. Child Psychother. 2012, 38, 130–153. [Google Scholar] [CrossRef]
  81. Dos Santos, H.G.B.; Marcon, S.R.; Espinosa, M.M.; Baptista, M.N.; De Paulo, P.M.C. Factors associated with suicidal ideation among university students. Rev. Lat. Am. Enferm. 2017, 25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Gnan, G.H.; Rahman, Q.; Ussher, G.; Baker, D.; West, E.; Rimes, K.A. General and LGBTQ-specific factors associated with mental health and suicide risk among LGBTQ students. J. Youth Stud. 2019, 22, 1393–1408. [Google Scholar] [CrossRef]
  83. Taliaferro, L.A.; Muehlenkamp, J.J.; Jeevanba, S.B. Factors associated with emotional distress and suicide ideation among international college students. J. Am. Coll. Health 2019, 68, 565–569. [Google Scholar] [CrossRef]
  84. Becker, S.P.; Holdaway, A.S.; Luebbe, A.M. Suicidal Behaviors in College Students: Frequency, Sex Differences, and Mental Health Correlates Including Sluggish Cognitive Tempo. J. Adolesc. Health 2018, 63, 181–188. [Google Scholar] [CrossRef]
  85. Baiden, P.; Xiao, Y.; Asiedua-Baiden, G.; LaBrenz, C.A.; Boateng, G.O.; Graaf, G.; Muehlenkamp, J.J. Sex differences in the association between sexual violence victimization and suicidal behaviors among adolescents. J. Affect. Disord. Rep. 2020, 1, 100011. [Google Scholar] [CrossRef]
  86. Franzoi, I.G.; Sauta, M.D.; Carnevale, G.; Granieri, A. Student Counseling Centers in Europe: A Retrospective Analysis. Front. Psychol. 2022, 13, 894423. [Google Scholar] [CrossRef]
Figure 1. Simple slope analysis for negative affectivity.
Figure 1. Simple slope analysis for negative affectivity.
Ijerph 19 06167 g001
Figure 2. Simple slope analysis for detachment.
Figure 2. Simple slope analysis for detachment.
Ijerph 19 06167 g002
Figure 3. Coefficients of the moderated mediation model. Dotted lines indicate no statistically significant predictors, and continuous lines indicate statistically significant predictors.
Figure 3. Coefficients of the moderated mediation model. Dotted lines indicate no statistically significant predictors, and continuous lines indicate statistically significant predictors.
Ijerph 19 06167 g003
Table 1. Pearson and point-biserial correlations.
Table 1. Pearson and point-biserial correlations.
SHSS Suicidal IdeationASQ Need for ApprovalASQ Preoccupation with RelationshipsPID-5-BF Negative AffectivityPID-5-BF DetachmentAge
Pearson correlations
ASQ Need for Approval0.322 **
ASQ Preoccupation with relationships0.317 **0.553 **
PID-5-BF Negative Affectivity0.378 **0.441 **0.539 **
PID-5-BF Detachment0.358 **0.330 **0.148 *0.247 **
Age−0.142−0.123−0.179 *−0.219 **−0.208 **
Point-biserial correlations
Sex−0.0160.0740.1310.190 *−0.149 *−0.147 *
* p < 0.05, ** p < 0.01.
Table 2. Moderated mediation model analysis for negative affectivity and detachment.
Table 2. Moderated mediation model analysis for negative affectivity and detachment.
Outcome
Variables
Independent VariablesβS.E.tp95% CI
PID-5-BF Negative Affectivity
ASQ Need for Approval0.0190.0072.7520.007[0.005; 0.033]
ASQ Preoccupation with Relationships0.0400.0075.493<0.001[0.025; 0.054]
Age−0.0350.018−1.9720.050[−0.071; 0.000]
PID-5-BF Detachment
ASQ Need for Approval0.0310.0074.227<0.001[0.017; 0.046]
ASQ Preoccupation with Relationships−0.0070.008−0.9340.351[−0.022; 0.008]
Age−0.0470.019−2.5320.012[−0.084; −0.010]
Table 3. Moderated mediation model analysis for suicidal ideation.
Table 3. Moderated mediation model analysis for suicidal ideation.
Outcome
Variables
Independent VariablesβS.E.tp95% CI
SHSS Suicidal Ideation
ASQ Need for Approval0.0270.0370.7380.462[−045; 0.099]
ASQ Preoccupation with Relationships0.0590.0391.5200.130[−0.018; 0.136]
PID-5-BF Negative Affectivity0.9590.3752.5590.011[0.220; 1.699]
PID-5-BF Detachment1.3460.3633.706<0.001[0.629; 2.063]
Sex−0.5410.441−1.2260.222[−1.411; 0.329]
Age−0.0420.091−0.4650.643[−0.223; 0.138]
Sex * ASQ Need for Approval0.1140.0741.5440.125[−0.032; 0.360]
Sex * ASQ Preoccupation with relationships0.0740.0820.9050.367[−0.087; 0.235]
Sex * PID-5-BF Negative Affectivity−1.7130.740−2.3140.022[−3.174; −0.252]
Sex * PID-5-BF Detachment1.6110.7522.1440.033[0.128; 3.094]
“*” indicates the interaction between the two variables.
Table 4. Conditional direct effects of need for approval and preoccupation with relationships on suicidal ideation.
Table 4. Conditional direct effects of need for approval and preoccupation with relationships on suicidal ideation.
βS.E.tp95% CI
Conditional direct effect of need for approval on suicidal ideation
Men−0.0550.065−0.8450.399[−0.183; 0.073]
Women0.0600.0421.4160.159[−0.023; 0.142]
Conditional direct effect of preoccupation with relationships on suicidal ideation
Men0.0060.0730.0880.930[−0.138; 0.151]
Women0.0800.0441.8430.067[−0.006; 0.166]
Table 5. Indirect effects of need for approval on suicidal ideation.
Table 5. Indirect effects of need for approval on suicidal ideation.
βBootstrap S.E.Bootstrap 95% CI
Conditional indirect effects of need for approval on suicidal ideation via negative affectivity for men vs. women
Men0.0420.025[0.003; 0.098]
Women0.0090.011[−0.007; 0.036]
Index of moderated mediation
−0.0330.023[−0.082; 0.005]
Conditional indirect effects of need for approval on suicidal ideation via detachment for men vs. women
Men0.0060.020[−0.030; 0.052]
Women0.0560.021[0.022; 0.103]
Index of moderated mediation
−0.0500.027[0.003; 0.111]
Table 6. Indirect effects of preoccupation with relationships on suicidal ideation.
Table 6. Indirect effects of preoccupation with relationships on suicidal ideation.
βBootstrap S.E.Bootstrap 95% CI
Conditional indirect effects of preoccupation with relationships on suicidal ideation via negative affectivity for men vs. women
Men0.0850.042[0.008; 0.170]
Women0.0200.019[−0.017; 0.058]
Index of moderated mediation
−0.0660.045[−0.152; 0.021]
Conditional indirect effects of preoccupation with relationships on suicidal ideation via detachment for men vs. women
Men−0.0010.007[−0.016; 0.013]
Women−0.0130.018[−0.049; 0.020]
Index of moderated mediation
−0.0130.018[−0.053; 0.020]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Granieri, A.; Casale, S.; Sauta, M.D.; Franzoi, I.G. Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex. Int. J. Environ. Res. Public Health 2022, 19, 6167. https://doi.org/10.3390/ijerph19106167

AMA Style

Granieri A, Casale S, Sauta MD, Franzoi IG. Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex. International Journal of Environmental Research and Public Health. 2022; 19(10):6167. https://doi.org/10.3390/ijerph19106167

Chicago/Turabian Style

Granieri, Antonella, Silvia Casale, Maria Domenica Sauta, and Isabella Giulia Franzoi. 2022. "Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex" International Journal of Environmental Research and Public Health 19, no. 10: 6167. https://doi.org/10.3390/ijerph19106167

APA Style

Granieri, A., Casale, S., Sauta, M. D., & Franzoi, I. G. (2022). Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex. International Journal of Environmental Research and Public Health, 19(10), 6167. https://doi.org/10.3390/ijerph19106167

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop