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Article

Sexual Orientation and Suicide Risk: Examining the Contributions of Hopelessness, Life Satisfaction, and Spirituality

by
Félix Arbinaga
1,2,*,
Jara Durán-Andrada
1,*,
Cristina Fuentes-Méndez
1,
Manuel Flores-Pérez
1,
Nehemías Romero-Pérez
1,
Lidia Torres-Rosado
1 and
Miriam Bernal-López
3
1
Department of Clinical and Experimental Psychology, Faculty of Education, Psychology and Sports Science, University of Huelva, 21007 Huelva, Spain
2
Center for Research in Contemporary Thought and Innovation for Social Development (COIDESO), University of Huelva, 21007 Huelva, Spain
3
Department of Social, Development and Educational Psychology, Faculty of Education, Psychology and Sports Science, University of Huelva, 21007 Huelva, Spain
*
Authors to whom correspondence should be addressed.
Behav. Sci. 2026, 16(3), 406; https://doi.org/10.3390/bs16030406
Submission received: 19 January 2026 / Revised: 26 February 2026 / Accepted: 9 March 2026 / Published: 10 March 2026
(This article belongs to the Section Psychiatric, Emotional and Behavioral Disorders)

Abstract

Suicidal behaviors constitute a major global public health problem, with sexual minority groups showing a higher risk of engaging in such behaviors. This study aimed to analyze the influence of hopelessness, life satisfaction, and spirituality on suicide risk according to self-reported sexual orientation. A total of 532 individuals participated (M = 31.15 years, SD = 12.002). Of these, 39.8% identified as heterosexual, 34.2% as gay or lesbian individuals, and 25.9% as bisexual. Participants were assessed using the Plutchik Suicide Risk Scale, Beck’s Hopelessness Scale, the Beliefs and Values Scale, and Diener’s Satisfaction with Life Scale. The results indicate that 52.9% of bisexual participants and 41.2% of gay and lesbian participants presented a high suicide risk, compared with 15.6% of heterosexual participants. Individuals with a high suicide risk reported higher levels of hopelessness (p < 0.001), lower levels of life satisfaction (p < 0.001), and similar levels of spirituality. The proportion of variance explained in suicide risk was 42.8% among bisexual participants, 34.2% among gay and lesbian participants, and 29.9% among heterosexual participants. Hopelessness predicted a similar proportion of across groups (β = 0.446 in heterosexuals, β = 0.447 in gays and lesbians, and β = 0.457 in bisexuals). Life satisfaction showed a protective predictive effect, with β = −0.241 in bisexual participants, followed by gay and lesbian participants (β = −0.186) and heterosexual participants (β = −0.137). Spirituality was significant only among gay and lesbian participants (β = 0.133) and bisexual participants (β = 0.214). Sexual minority groups exhibited a higher risk of suicide, with life satisfaction—but not spirituality—acting as a protective factor.

1. Introduction

Suicidal behaviors constitute a problem whose consequences extend beyond personal, familial, social, and economic spheres (WHO, 2021b). Suicide has been reported as one of the leading causes of death among adolescents and young adults (Glenn et al., 2020; Mortier et al., 2017). Current estimates indicate that nearly 800,000 deaths worldwide occur by suicide each year (Abdulai, 2020; WHO, 2025), accounting for approximately 1% of all deaths globally (WHO, 2021a). For each death by suicide, an estimated 115 individuals are affected, and one in five individuals report having experienced a significant disruption in their lives as a consequence (Baca-Garcia et al., 2011; Sandler, 2018).
In this context, suicide among sexual minority individuals (e.g., gay, lesbian, bisexual) represents a significant public health problem (Blosnich, 2022). Compared with heterosexual individuals, sexual minority populations have approximately a 2.5- to 5-fold greater lifetime risk of attempting suicide (Hottes et al., 2016; Salway et al., 2019) and show higher suicide rates overall (Cochran & Mays, 2015; Erlangsen et al., 2020; Lynch et al., 2020; Mathy et al., 2011). A similar pattern has been observed among young gay, lesbian and bisexual populations, who were more than twice as likely as their heterosexual peers to have considered attempting suicide in the past year (31% vs. 14%) (District of Columbia Public Schools, 2007).
Regarding the relationship between sexual orientation and suicidal ideation, findings indicate that significant differences emerge between heterosexual and gay and lesbian individuals, as well as between heterosexual and bisexual individuals (Avendaño-Prieto et al., 2019; Mozumder et al., 2023). In other populations, such as transgender individuals, the prevalence of suicidal ideation has been reported to range from 50% to 75% (Nahata et al., 2017; Sorbara et al., 2020), with suicide attempt rates reaching 30% or higher (Nahata et al., 2017).
Similarly, the RaRE (Risk and Resilience Explored) report produced by the Vice Mental Health Guide (2015) revealed that 34% of gay, lesbian and bisexual youth (under 26 years of age) had attempted suicide at least once in their lifetime. In line with these findings, Nystedt et al. (2019) reported that bisexual and gay men, as well as bisexual women, showed a significantly higher likelihood of suicidal thoughts and significantly higher odds of suicide attempts compared with heterosexual men and women. Consistently, among women, those who died by suicide and belonged to sexual minority groups were 65% more likely to have disclosed suicidal thoughts and behaviors than heterosexual women (Clark & Blosnich, 2023).
One possible explanation for the elevated suicide risk among individuals with a sexual minority orientation is their exposure to a wide range of stressors, particularly those related to identity (Heisel et al., 2003; Hirsch et al., 2017; Keshoofy et al., 2023; I. Meyer, 2003; I. H. Meyer et al., 2021; Rosario et al., 2002). In this regard, the main factors identified as contributing to suicide risk include homophobic bullying, as well as difficulties within family and educational environments related to being gay, lesbian, or bisexual (Vice Mental Health Guide, 2015). Sexual minority individuals also experience higher rates of victimization and a greater risk of intimate partner violence than heterosexual individuals, in addition to facing social stigma and social exclusion (Arnoud et al., 2024; Baiocco et al., 2014; Centers for Disease Control and Prevention [CDC], 2024; Edwards et al., 2015; I. H. Meyer et al., 2021).
In this regard, the internalization of sexual stigma has become a significant variable in the analysis of behaviors related to suicide (Baiocco et al., 2014). This association may stem from diminished life satisfaction, precipitated by reduced relational intimacy and lower levels of social support in the face of homonegativity within salient social contexts (Baiocco et al., 2014; Exline et al., 2000; Pargament et al., 2000). Among these minority groups, religiosity has been linked to heightened internalization of sexual stigma (Barnes & Meyer, 2012; Lefevor et al., 2021; Wolf & Platt, 2022), potentially giving rise to conflicts between religiously transmitted messages and the sexual orientation with which individuals identify (Exline et al., 2000; Gibbs & Goldbach, 2015; Lefevor et al., 2021; Pargament et al., 2000).
In general terms, among the variables most closely associated with suicide attempts are hopelessness and depression, with hopelessness exhibiting greater explanatory relevance than depression. Hopelessness, as a clinical symptom of depression, is directly associated with behaviors aimed at ending perceived psychological distress (Beck et al., 1993).
Beck (1963) proposed that hopelessness constitutes one of the central characteristics leading to depression and suicide. Kazdin et al. (1983) argued that hopelessness may develop or be experienced over days or extended periods, shaping an individual’s relationship with the future. Hopelessness is characterized by a profound sense of demoralization, the inability to envision that something better may occur, or the loss of confidence in the possibility of change (Beck, 1963; Hirsch et al., 2017; Klonsky et al., 2012).
Data from the Youth Risk Behavior Survey conducted in Washington, DC (District of Columbia Public Schools, 2007) showed that 40% of young people who reported a sexual minority orientation indicated feeling sad or hopeless during the previous two weeks, compared with 26% of heterosexual youth (District of Columbia Public Schools, 2007). Numerous studies have corroborated the relevance of hopelessness as a risk factor for suicidal ideation, suicide attempts, and death by suicide (Abramson et al., 2000; Harwood et al., 2001; Kuo et al., 2005; Nock et al., 2010; Ribeiro et al., 2018; Ryan et al., 2024). In the meta-analysis conducted by Ribeiro et al. (2018), hopelessness was reported to have the strongest effect on suicidal ideation (OR = 2.19; 95% CI: 1.60–3.00); estimates were weaker when predicting suicide attempts (OR = 1.95; 95% CI: 1.59–2.39) and suicide death (OR = 1.98; 95% CI: 1.46–2.69). According to studies conducted in the Spanish population in 2013 by the Spanish State Federation of Lesbians, Gays, Transgender, and Bisexual People (FELGTB), hopelessness showed a high correlation with the risk of suicidal ideation. By contrast, other studies have reported substantially weaker associations (Holma et al., 2014; Ribeiro et al., 2012) or even non-significant effects (Nock & Banaji, 2007).
Similar evidence was reported in a study of 67,359 individuals that examined patterns of self-reported health according to sexual orientation and gender identity. Sexual minority individuals were more likely to report stress or worry; compared with heterosexual individuals, bisexual participants reported higher levels of hopelessness and suicidal ideation (Conron et al., 2010). In turn, Mozumder et al. (2023) reported that 32.4% of gay men had experienced a suicide attempt, and nearly half (47.1%) had a history of suicidal ideation, with 40.2% reporting self-harm behaviors. Compared with a heterosexual sample, gay men showed a higher prevalence of behaviors associated with hopelessness and suicide risk.
Another construct whose relationship with suicide risk and suicidal behaviors has been extensively examined is life satisfaction (Borzumato-Gainey et al., 2009; Mahmoud et al., 2012; O’Brien et al., 2023; Tedrus et al., 2023; Thatcher et al., 2002; Toukhy et al., 2024; Yildirim et al., 2023). Life satisfaction can be defined as an individual’s overall evaluation of their life (Diener & Biswas-Diener, 2002) and represents one of the core components of subjective well-being (Tedrus et al., 2023). It is a unidimensional construct that reflects how individuals evaluate their lives without imposing specific criteria for what constitutes a good life, leaving such judgments to the respondent (Diener et al., 1985). Life satisfaction is considered an aspect of mental health, with low levels being associated with mental health problems such as depressive symptoms and suicide (Borzumato-Gainey et al., 2009; Mahmoud et al., 2012; Rönkä et al., 2013; St. John et al., 2015; L. Wu, 2011).
Life satisfaction has been consistently linked to suicidal behaviors. In this regard, Thatcher et al. (2002) reported that low life satisfaction increases suicide risk. Accordingly, life satisfaction has been shown to be associated with greater severity of suicidal ideation through its relationship with depression (Chamizo-Nieto & Rey, 2023; Toukhy et al., 2024). As a risk factor, low life satisfaction is also associated with a higher number of negative life events (Luhmann et al., 2013). In addition, life dissatisfaction has also been considered a risk factor for non-suicidal self-injury (Adrian et al., 2011; Kress et al., 2015; Muehlenkamp & Brausch, 2012; Wang et al., 2025), although some findings contradict this association (Rotolone & Martin, 2012). Overall, high levels of life satisfaction function as a protective factor against depression and suicide (Dogra et al., 2011; O’Brien et al., 2023).
It has been observed that sexual orientation interacts with gender in predicting life satisfaction (Matías & Matud, 2023; Mohr & Fassinger, 2006). These studies identified an interaction between sexual orientation and gender, whereby lesbian or bisexual women reported higher levels of severe depressive symptoms and lower life satisfaction than heterosexual women. By contrast, life satisfaction scores among heterosexual individuals were very similar to those of gay or bisexual men. International research consistently indicates that gay, lesbian and bisexual individuals report lower life satisfaction compared with their heterosexual counterparts (Gómez et al., 2021; Morell-Mengual et al., 2017; Pachankis & Bränström, 2018; Powdthavee & Wooden, 2015).
A third construct that has also been examined in relation to suicide is spirituality (Alexandre Silva de Almeida et al., 2025; Danhauer et al., 2013; Jacob et al., 2019; Kleiman & Liu, 2014; Lawrence et al., 2016; O’Reilly & Rosato, 2015; Stack & Laubepin, 2019; A. Wu et al., 2015). Spirituality is related to the way in which, within a physically grounded environment, individuals experience the present moment and the interaction between the “self with oneself” and with the “other–environment”; that is, a form of verbal regulation that functions as a belief system attuned to environmental contingencies (Arbinaga et al., 2021). This conception of spirituality does not propose that spiritual experiences exist outside physical reality. Therefore, conceptualizing spirituality as a contextual behavioral construct is of relevance, since behaviors (operants) are under contextual control, which means they can be directly modified (Gentili et al., 2019).
Spirituality and religion-based coping strategies, which are generally considered adaptive (Park et al., 2018), may function as effective resources in populations facing health-related difficulties (Arbinaga et al., 2021; Jacob et al., 2019; Joaquín-Mingorance et al., 2019; Stack & Laubepin, 2019; Yang et al., 2016) and have been associated with higher quality of life (Finck et al., 2018), lower mood disturbance (Ringwald et al., 2016), and fewer depressive symptoms (Avis et al., 2013). Accordingly, spirituality is assumed to be associated with greater psychological well-being and may act as a protective factor in the face of adverse situations (Alexandre Silva de Almeida et al., 2025; Danhauer et al., 2013).
The constructs of religiosity and spirituality have traditionally been regarded as protective factors against suicide and as facilitators in the bereavement process following suicide (Alexandre Silva de Almeida et al., 2025; Jacob et al., 2019; Kleiman & Liu, 2014; Lawrence et al., 2016; O’Reilly & Rosato, 2015; Stack & Laubepin, 2019; A. Wu et al., 2015). However, some research has questioned this protective role (Exline et al., 2014; Gibbs & Goldbach, 2015; Lefevor et al., 2022b). Tensions between sexual identity and the religious beliefs, norms, or messages a person receives are associated with a higher risk of suicidal ideation (Exline et al., 2014; Gibbs & Goldbach, 2015). Sexual minority individuals face a set of unique risks related to both their sexual orientation and their religious or spiritual experiences. When suicidal ideation is compared between gay–lesbian and bisexual individuals who are actively engaged in religious practice and those who are not, similar levels of suicidal ideation have been reported; however, actively religious individuals show higher levels of religiosity and spirituality (Lefevor et al., 2022a).
Several variables have been identified as increasing the risk of suicidal ideation—such as positive religious coping, interpersonal religious struggles, internalized homonegativity, and concealment. In contrast, others have been found to reduce risk, including the resolution of conflicts between sexual and religious identities, family support, and peer support. Differential patterns across these factors have been highlighted between groups (Lefevor et al., 2022a; Stuhlsatz et al., 2021; Wolf & Platt, 2022).
The present study aimed to examine the influence of hopelessness, life satisfaction, and spirituality on suicide risk, considering these effects as a function of sexual orientation. The first hypothesis posited that participants with higher levels of hopelessness would exhibit a greater risk of suicide than those with lower levels, with a stronger effect expected among sexual minority groups. On the other hand, the second hypothesis proposed that life satisfaction would serve as a protective factor against suicide risk, such that individuals classified as being at high suicide risk will report significantly lower levels of life satisfaction; this pattern being particularly pronounced among sexual minority groups. Finally, the third hypothesis posited that higher scores in spirituality will be associated with a lower risk of suicide, regardless of sexual orientation.

2. Materials and Methods

2.1. Study Design

This research employed a cross-sectional observational design using online questionnaires.

2.2. Participants

A total of 553 individuals completed the instruments. Participants self-identified as heterosexual (n = 212, 38.3%), gay or lesbian (n = 182, 32.9%), bisexual (n = 138, 25.0%), transgender (n = 14, 2.5%), demisexual (n = 3, 0.5%), polysexual (n = 1, 0.2%), and pansexual (n = 3, 0.5%). Due to the low number of responses from individuals identifying as transgender, demisexual, polysexual, and pansexual, as well as the substantial differences among these groups and the resulting impossibility of forming a homogeneous fourth group, it was decided to exclude them from the study.
Consequently, a total of 532 individuals participated in the study (37.6% male), with ages ranging from 18 to 74 years. The age distribution was as follows: 18–33 years (65.4%), 34–49 years (23.9%), 50–65 years (10.2%), and 66–74 years (0.4%). The sample had a mean age of 31.15 years (SD = 12.002). Regarding educational level, 7.7% reported having completed basic education, 33.6% reported secondary education, and 58.6% reported having completed university studies. With respect to sexual orientation, 39.8% (n = 212) identified as heterosexual, 34.2% (n = 182) as gay–lesbian, and 25.9% (n = 138) as bisexual.

2.3. Instruments

An ad hoc interview was developed to collect sociodemographic information (year of birth, biological sex [male/female], and educational level [basic/secondary/university]). In addition, participants classified themselves according to the extent or type of religious belief as follows: (1) Non-Believer (NB)—I have no doubt; I do not believe in the existence of divine, superior, or transcendent beings beyond the realm of nature; (2) Non-Practicing Believer (NPB)—I believe in the existence of one or more divine or transcendent beings, but months may pass without attending religious services and/or religious events; and (3) Practicing Believer (PB)—I believe in the existence of one or more divine or transcendent beings and usually attend religious services and/or religious events, attempting to fulfill the precepts of my religion.
Suicide risk was assessed using the Plutchik Suicide Risk Scale (Plutchick et al., 1989) in its Spanish adaptation (Rubio et al., 1998). The scale consists of 15 dichotomous items (Yes/No). Each affirmative response is scored as one point, yielding a total score ranging from 0 to 15, with higher scores indicating greater suicide risk. The authors of the Spanish validation identified a score of six or higher as the cutoff point for high suicide risk. The Spanish-adapted version showed high internal consistency (Cronbach’s α = 0.90), with sensitivity and specificity of 88% at a cutoff score >6. In the present study, the scale demonstrated acceptable internal consistency (Cronbach’s α = 0.795).
Hopelessness was assessed using the Hopelessness Scale (Beck et al., 1974) in its Spanish translation and adaptation (Aguilar et al., 1995). The scale consists of 20 true/false items and is designed to measure negative expectations about the future. A cutoff score of 8 or higher indicates a high level of hopelessness. The original version showed high internal consistency (KR-20 = 0.93). In the present study, internal consistency was assessed using Cronbach’s alpha (α = 0.839).
Life satisfaction was assessed using the Satisfaction with Life Scale (Diener et al., 1985) in its Spanish translation and adaptation (Atienza et al., 2003; Pons et al., 2000). The scale consists of five items. Participants are asked to indicate their level of agreement with each statement on a 7-point Likert scale (ranging from 1 = strongly disagree to 7 = strongly agree). Total scores range from 5 to 35, with higher scores indicating greater life satisfaction. The original scale demonstrated good internal consistency (Cronbach’s α = 0.87). In the present study, the scale showed high internal consistency (Cronbach’s α = 0.883).
Spirituality was assessed using the Beliefs and Values Scale (King et al., 2006) in its Spanish translation (Carrasco, 2015). The scale consists of 20 items rated on a 5-point Likert scale ranging from 0 (strongly disagree) to 4 (strongly agree). The original version demonstrated high internal consistency (α = 0.93). In the present study, the scale showed excellent reliability (α = 0.952).

2.4. Procedure

Data were collected by contacting two Spanish LGTBI organizations (Fundación Triángulo and Federación Arcoíris de Andalucía), which disseminated the link to the online questionnaire through their social media channels. In addition, information about the study and the link to the online questionnaires were shared in several LGTBI online forums to invite participation. Finally, the study was disseminated among students enrolled in various courses at the University of Huelva. Participation was voluntary and anonymous, and participants did not receive any compensation for taking part, spending about seven or eight minutes completing the survey. All participants were required to be at least 18 years old and to read, sign, and provide informed consent; otherwise, they were not able to complete the questionnaires.

2.5. Statistical Analyses

Descriptive analyses (frequencies, percentages, means, and standard deviations) were conducted to characterize the main study variables. Group comparisons of quantitative variables were performed using independent-samples t tests. Effect sizes were estimated using Cohen’s d (<0.20 = small, 0.20–0.80 = medium, >0.80 = large). The internal consistency of the instruments was assessed using Cronbach’s alpha (α). Comparisons between categorical variables were conducted using chi-square (χ2) tests, with effect sizes estimated using Phi (0.10–0.29 = small, 0.30–0.49 = moderate, ≥0.50 = large) or Cramér’s V (<0.20 = small, 0.20–0.60 = moderate, >0.60 = large), as appropriate. For quantitative variables with more than two categories, analyses of variance (ANOVAs) were conducted using Snedecor’s F statistic, followed by Bonferroni post hoc tests. Effect sizes for ANOVA were calculated using eta squared (η2), with values of 0.01–0.05 indicating small, 0.06–0.13 medium, and ≥0.14 large effects. Stepwise linear regression analysis was employed and all statistical assumptions necessary for the analyses were examined (e.g., homoscedasticity, multicollinearity assessed via variance inflation factor [VIF]). Associations among variables were analyzed using Pearson correlations, and hierarchical linear regression was used to identify predictors of suicide risk. No missing data were observed, as completion of all items was required to proceed with the questionnaires. All analyses were performed using SPSS (IBM SPSS Statistics, version 25.0; IBM Corp., Armonk, NY, USA).

3. Results

Table 1 presents the basic sociodemographic characteristics of the sample. As shown, the groups differed significantly in age, with a medium effect size (η2 = 0.07). Participants who identified as bisexual were younger than both heterosexual participants (p < 0.001) and gay–lesbian participants (p < 0.001). No significant age differences were observed between the heterosexual and gay–lesbian groups.
In addition, significant differences were found as a function of biological sex, with a moderate effect size (Cramér’s V = 0.233). Specifically, heterosexual participants were more likely to be women, whereas gay–lesbian participants were predominantly men. No significant sex differences were observed within the bisexual group.
Regarding reported educational level, significant differences were observed, with a small effect size (Cramér’s V = 0.105). Participants identifying as heterosexual predominantly reported having completed university education, whereas bisexual participants tended to report secondary education. No statistically significant differences were observed within the group identifying as gay–lesbian.
Finally, with respect to religious identification, significant differences were found across groups, with a moderate effect size (Cramér’s V = 0.221). In this regard, heterosexual participants were more likely to identify as believers, either practicing or non-practicing, whereas bisexual and gay–lesbian participants primarily reported not being believers.
With respect to hopelessness scores (Table 2), significant differences were observed, driven primarily by the group identifying as bisexual, which obtained higher scores than the other groups, although the effect size was small (η2 = 0.05). Post hoc comparisons among the three groups indicated that a = b (p = 0.397), a < c (p < 0.001), and b < c (p = 0.001).
Similarly, the three groups differed significantly in life satisfaction scores, also with a small effect size (η2 = 0.05). Sexual minority groups—particularly bisexual participants—reported lower levels of life satisfaction. Post hoc comparisons indicated that a > b (p = 0.025), a > c (p < 0.001), and b > c (p = 0.043).
With respect to spirituality scores, the heterosexual group emerged as the most spiritual, although the effect size was small (η2 = 0.05). No differences were observed between the gay–lesbian and bisexual groups, as indicated by the post hoc comparisons [a > b (p < 0.001), a > c (p < 0.001), and b = c (p = 1.00)].
From the perspective of religious identification, significant differences in spirituality scores were observed among Non-Believers (NB) (M = 40.17, SD = 11.96), Non-Practicing Believers (NPB) (M = 65.34, SD = 12.08), and Practicing Believers (PB) (M = 76.82, SD = 11.26), F(2,531) = 349.72, p < 0.001, with a large effect size (η2 = 0.57). Post hoc Bonferroni comparisons indicated that NB < NPB (p < 0.001), NB < PB (p < 0.001), and NPB < PB (p < 0.001).
In contrast, no significant differences were found according to reported religiosity (NB, NPB, PB) in suicide risk scores, F(2,531) = 0.74, p = 0.479, or in life satisfaction, F(2,531) = 0.50, p = 0.605. A significant effect was observed for hopelessness, F(2,531) = 3.29, p = 0.038; however, Bonferroni post hoc comparisons revealed no statistically significant differences between the three groups.
Finally, the three groups differed significantly in suicide risk scores, with a medium effect size (η2 = 0.13). Post hoc comparisons revealed that a < b (p < 0.001), a < c (p < 0.001), and b < c (p = 0.010).
Accordingly, when participants were classified by sexual orientation and suicide risk scores were dichotomized into high suicide risk versus low suicide risk, the results (Table 3) indicated that 41.2% of gay–lesbian participants and 52.9% of bisexual participants were classified as being at high suicide risk, compared with 15.6% of heterosexual participants. This association showed a moderate effect size (Cramér’s V = 0.331).
The data indicate that of the individuals classified in the high suicide risk category, 18.2% identified as heterosexual, 41.4% as gay or lesbian, and 40.3% as bisexual. In contrast, among those categorized in the low suicide risk group, 51.0% identified as heterosexual, 30.5% as gay or lesbian, and 18.5% as bisexual.
When examining the behavior of the study variables as a function of dichotomized suicide risk (Table 4), individuals at high suicide risk showed significantly higher levels of hopelessness than those at low risk, with a large effect size (Cohen’s d = 1.183), and significantly lower levels of life satisfaction, also with a large effect size (Cohen’s d = 0.92). However, no significant differences were observed between the groups in spirituality scores.
In this regard, individuals classified in the high hopelessness category (n = 106) showed significantly higher suicide risk scores (M = 7.92, SD = 2.85) than those classified as having low hopelessness (n = 426; M = 3.64, SD= 2.64), t = 14.69, p < 0.001, with a large effect size (Cohen’s d = 1.56).
When examining the distribution of sexual orientation across hopelessness categories (high vs. low), significant differences were observed, χ2(4,532) = 17.92, p < 0.001, although the effect size was small (Cramér’s V = 0.184). The groups driving these differences were heterosexual participants, who tended to fall within the low hopelessness category (43% of the group, n = 183), and bisexual participants, who were significantly overrepresented in the high hopelessness category (41.5% of the group, n = 44). By contrast, participants identifying as gay or lesbian did not show statistically significant differences across hopelessness categories.
Table 5 presents the Pearson correlation coefficients among the study variables. Suicide risk scores were positively and significantly correlated with hopelessness and negatively correlated with life satisfaction. In contrast, suicide risk showed no significant association with spirituality scores.
Additionally, hopelessness was negatively and significantly correlated with both spirituality and life satisfaction. Life satisfaction, however, did not show a significant association with spirituality.
After verifying the assumptions of the regression models—including homoscedasticity and multicollinearity assessed via the variance inflation factor (VIF)—significant models were identified. In the final model, VIF values indicated acceptable levels of collinearity for hopelessness (VIF = 1.606), life satisfaction (VIF = 1.573), and spirituality (VIF = 1.027).
When a linear regression analysis was conducted on the total sample, with suicide risk as the outcome variable and hopelessness, life satisfaction, and spirituality as predictors (Table 6), the resulting model was significant and accounted for 36.2% of the variance. Hopelessness emerged as a strong predictor (β = 0.448), whereas life satisfaction acted as a protective factor, showing a negative predictive contribution of β = −0.218. Spirituality did not show a significant predictive effect.
When regression analyses were conducted separately for each sexual orientation group (Table 7), differential patterns emerged. All three groups yielded significant models; notably, the bisexual group showed the greatest explanatory power for suicide risk, accounting for 42.8% of the variance, followed by the gay–lesbian group (34.2%) and the heterosexual group (29.9%).
Although hopelessness predicted a very similar proportion of across the three groups (β = 0.446 in heterosexuals, β = 0.447 in gay–lesbian, and β = 0.457 in bisexuals), life satisfaction showed greater predictive strength in the bisexual group (β = −0.241). In all groups, the predictive effect of life satisfaction was negative, indicating a protective role, although its statistical significance in the heterosexual group was marginal.
By contrast, spirituality did not reach statistical significance in the heterosexual group, although its negative coefficient (β = −0.64) suggested a modest protective tendency. However, in the gay–lesbian (β = 0.133) and bisexual (β = 0.214) groups, spirituality did not exhibit a protective effect; this non-protective association was particularly pronounced in the bisexual group.

4. Discussion

The present study aimed to examine the influence of hopelessness, life satisfaction, and spirituality on suicide risk, considering these effects as a function of sexual orientation.
The first hypothesis posited that participants with higher levels of hopelessness would exhibit a greater risk of suicide than those with lower levels, with a stronger effect expected among sexual minority groups. The findings partially supported this hypothesis. Individuals with high hopelessness scores showed a markedly higher suicide risk, with a large effect size. However, when sexual orientation was taken into account, hopelessness demonstrated a similar predictive capacity for suicide risk across all three groups.
On the other hand, participants identifying as bisexual reported higher levels of hopelessness than the other two groups, which did not differ significantly from each other. In this regard, heterosexual participants were predominantly classified within the low hopelessness group, whereas bisexual participants were overrepresented in the high hopelessness group. Participants identifying as gay or lesbian showed a more even distribution across both hopelessness categories.
Overall, hopelessness demonstrated substantial predictive power for suicide risk (β = 0.448), supporting previous research that has identified hopelessness as a central characteristic in suicide-related processes (Abramson et al., 2000; Beck, 1963; Harwood et al., 2001; Hirsch et al., 2017; Kazdin et al., 1983; Klonsky et al., 2012; Kuo et al., 2005; Nock et al., 2010; Ribeiro et al., 2018; Ryan et al., 2024).
Indeed, several meta-analyses have reported that hopelessness shows the strongest effect on suicidal ideation, with smaller but still significant effects on suicide attempts and death by suicide (Ribeiro et al., 2018; Riera-Serra et al., 2024). However, these findings are not fully consistent with those reported by Holma et al. (2014), who found weak associations between hopelessness and suicidal ideation, or by Nock and Banaji (2007), who detected no significant relationships.
When sexual orientation is examined differentially, the present findings partially support previous evidence indicating that sexual minority individuals, compared with those identifying as heterosexual, are more likely to report high levels of hopelessness (District of Columbia Public Schools, 2007; Federación Estatal de Lesbianas, Gais, Transexuales y Bisexuales, 2013), particularly individuals identifying as bisexual (Conron et al., 2010). However, no differences in hopelessness scores were observed between gay–lesbian and heterosexual participants, contrary to the findings reported by Mozumder et al. (2023), who identified higher hopelessness levels among gay and lesbian individuals. Notably, hopelessness showed a similar predictive capacity for suicide risk across all three groups, regardless of sexual orientation.
With respect to the second hypothesis, the results fully supported its prediction. Life satisfaction was confirmed to act as a protective variable against suicide risk. Specifically, individuals at high suicide risk reported lower levels of life satisfaction. These findings are consistent with previous research linking low life satisfaction to suicide (Borzumato-Gainey et al., 2009; Mahmoud et al., 2012; Rönkä et al., 2013; St. John et al., 2015; Thatcher et al., 2002; L. Wu, 2011), often through its association with depression (Chamizo-Nieto & Rey, 2023; Toukhy et al., 2024).
When considering the total sample, life satisfaction showed a significant negative predictive effect (β = −0.218) on suicide risk. Thus, its protective role against suicide is reaffirmed, in line with previous findings reported by Dogra et al. (2011) and O’Brien et al. (2023).
When life satisfaction was analyzed as a function of sexual orientation, differential patterns emerged across the three groups. Heterosexual participants reported the highest levels of life satisfaction, followed by gay and lesbian participants, with bisexual participants reporting the lowest levels. However, a stronger protective effect of life satisfaction in predicting suicide risk was observed among sexual minority groups, particularly among bisexual participants. These findings are consistent with studies showing that sexual orientation predicts levels of life satisfaction (Matías & Matud, 2023; Mohr & Fassinger, 2006). Likewise, a substantial body of international research has consistently reported lower life satisfaction among gay, lesbian and bisexual individuals compared with their heterosexual counterparts (Gómez et al., 2021; Morell-Mengual et al., 2017; Pachankis & Bränström, 2018; Powdthavee & Wooden, 2015).
A useful framework for understanding the differences observed in life satisfaction as a function of sexual orientation is Minority Stress Theory (MST), proposed by Brooks (1981) and further developed by I. Meyer (2003) and I. H. Meyer et al. (2021). Previous research has shown that low life satisfaction increases suicide risk by being associated with a greater number of negative life events (Luhmann et al., 2013), a pattern that is particularly evident among sexual minority populations (Heisel et al., 2003; Hirsch et al., 2017; Keshoofy et al., 2023; I. Meyer, 2003; I. H. Meyer et al., 2021). Within this framework, a key factor that promotes life satisfaction among sexual minorities—by facilitating coping with adverse events—is the degree of identity integration (Rosario et al., 2011), which Bregman et al. (2013) identify as an important outcome of acceptance within the family context.
Along with the Minority Stress Theory, widely used to explain the higher prevalence of health problems among sexual minorities, heterosexism should also be considered as a set of practices aligned with this framework (Chang et al., 2020; Pharr & Batra, 2024; Trujillo et al., 2020). Heterosexism, understood as a system of beliefs and practices that privileges heterosexuality and discriminates against other sexual orientations, increases suicide risk among sexual minorities through mechanisms such as chronic stigma and discrimination, reduced social support, heightened minority stress, impaired emotion regulation, and the internalization of social rejection, among others (Chang et al., 2020; Pharr & Batra, 2024; Trujillo et al., 2020).
Finally, concerning the third hypothesis and considering the sample as a whole, the results do not support the assumption that individuals with higher levels of spirituality report a lower risk of suicide. Accordingly, spirituality cannot be considered a protective variable against suicide risk in the overall sample. In line with this, no significant differences in spirituality were observed when comparing individuals with high versus low suicide risk. Additionally, heterosexual participants reported higher levels of spirituality than gay–lesbian and bisexual participants, who did not differ from each other. However, when each group was analyzed separately, spirituality showed a significant and positive predictive association with suicide risk in the gay–lesbian and bisexual groups, indicating that, contrary to expectations, spirituality did not function as a protective factor within these sexual minority groups.
These findings do not support previous research suggesting that spirituality and religiosity may reduce the impact of adverse situations (Alexandre Silva de Almeida et al., 2025; Danhauer et al., 2013) and are associated with lower mood disturbance and suicidal ideation (Avis et al., 2013; Ringwald et al., 2016).
Conversely, the findings align with a growing body of scholarship that challenges the traditional assumption that spirituality and religiosity function as protective factors against suicide risk (Baiocco et al., 2014; Barnes & Meyer, 2012; Exline et al., 2000; Gibbs & Goldbach, 2015; Lefevor et al., 2021; Wolf & Platt, 2022). Empirical evidence indicates that, among sexual minorities, spirituality may be associated with heightened psychological distress, increased suicidal ideation, and poorer emotional adjustment, particularly when it is embedded within religious environments that sustain negative discourses regarding sexual diversity (Barnes & Meyer, 2012; Lefevor et al., 2021; Wolf & Platt, 2022). Within such contexts, tensions between sexual identity and religious belief emerge, generating a significant psychosocial stressor that can exacerbate vulnerability to suicidal behavior (Exline et al., 2000; Gibbs & Goldbach, 2015; Lefevor et al., 2021).
In this framework, spirituality ceases to operate as a positive coping resource and instead becomes a source of spiritual strain, a phenomenon conceptualized in the literature as negative religious coping (Baiocco et al., 2014; Exline et al., 2000; Gibbs & Goldbach, 2015; Lefevor et al., 2021). This form of coping—characterized by punitive interpretations of faith, perceptions of divine abandonment, or beliefs in spiritual punishment—has been consistently associated with elevated levels of depression, hopelessness, and suicidal ideation (Exline et al., 2014; Pargament et al., 2000).
When suicide risk scores were compared according to self-reported religiosity (non-believers, non-practicing believers, and practicing believers), no significant differences were observed between groups. However, significant differences in spirituality were found across the three religiosity categories. These results are consistent with studies showing that, when comparing suicidal ideation among gay–lesbian and bisexual individuals who are actively engaged in religious practice versus those who are not, similar levels of suicidal ideation are observed, despite higher levels of religiosity and spirituality among actively religious individuals (Lefevor et al., 2022a; Stuhlsatz et al., 2021; Wolf & Platt, 2022).
Although the present study contributes to the understanding of suicide risk among sexual minority populations, several limitations should be considered when interpreting the findings and addressed in future research. These include the inherent limitations associated with the use of self-report questionnaires and online data collection. In addition, the study’s cross-sectional design precludes establishing causal relationships between variables. On the other hand, the use of a non-probabilistic sample that is not representative of the various groups may hinder the generalization of the results obtained. In this regard, the low or nonexistent participation of specific groups (transgender, demisexual, etc.) becomes a limiting factor when interpreting the findings. Likewise, when considering biological sex in some orientations, the resulting group size was small; therefore, this represents a limitation in terms of control and proportionality.
Furthermore, future studies should conduct more fine-grained analyses that jointly consider gender and sexual orientation in relation to the variables examined. It would also be valuable to investigate how different forms of homophobia (personal, institutional, and internalized), as well as variations in victimization—such as the greater vulnerability of bisexual individuals to domestic violence, hate crimes, and the lack of justice in society—are associated with the three variables analyzed (hopelessness, life satisfaction, and spirituality) and their implications for suicidal behaviors. Examining these structural and interpersonal stressors alongside psychological ones would contribute to a more nuanced understanding of the mechanisms shaping suicide risk among sexual minority populations. Finally, the inclusion of clinical variables (e.g., depression) and contextual factors (e.g., socio-familial variables) related to sexual orientation would allow for a more comprehensive understanding of their role in suicide risk within sexual minority populations.

5. Conclusions

In conclusion, 52.9% of bisexual participants and 41.2% of gay and lesbian participants were classified as being at high suicide risk, compared with 15.6% of heterosexual participants. Bisexual individuals reported the highest levels of hopelessness. Hopelessness demonstrated a strong and significant predictive capacity for suicide risk, regardless of sexual orientation. Conversely, life satisfaction acted as a protective factor against suicide risk, particularly among sexual minority groups. Finally, spirituality showed a positive and significant predictive association with suicide risk among sexual minority participants, whereas no significant association was observed among heterosexual participants.

Author Contributions

Conceptualization, F.A., J.D.-A., C.F.-M., M.F.-P., L.T.-R., N.R.-P. and M.B.-L.; methodology, F.A. and J.D.-A.; software, C.F.-M., M.F.-P., L.T.-R., N.R.-P. and M.B.-L.; validation, F.A., J.D.-A., C.F.-M., L.T.-R., N.R.-P., M.F.-P. and M.B.-L.; formal analysis, F.A., and J.D.-A.; investigation, F.A., J.D.-A., C.F.-M. and M.B.-L.; resources, C.F.-M., N.R.-P. and M.B.-L.; data curation, F.A., J.D.-A., L.T.-R., C.F.-M. and M.B.-L.; writing—original draft preparation, F.A., J.D.-A., M.F.-P. and C.F.-M.; writing—review and editing, F.A., J.D.-A., C.F.-M., L.T.-R., N.R.-P., M.F.-P. and M.B.-L.; visualization, F.A.; supervision, F.A.; project administration, F.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work has been funded in part thanks to the support of EPIT-University of Huelva-Spain (University of Huelva Research and Transfer Policy Strategy 2026-EPIT Acronym in Spanish) to the CTS-980 (Annual financial assistance to the Research Group) Research Group and by the support of the Centre for Research in Contemporary Thought and Innovation for Social Development (COIDESO) at the University of Huelva (Huelva, Spain). (Financial Support for Translation).

Institutional Review Board Statement

All procedures were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and the Declaration of Helsinki of 1975, revised in 2013. Approved by the Andalusian Ethics Committee of Biomedical Research (Evaluation Committee of Huelva. Approval Date 18 May 2023, Internal Code: 1113 N-16).

Informed Consent Statement

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

Data Availability Statement

This study adheres to the Transparency and Openness Promotion (TOP) guidelines and adheres to the Journal Article Reporting Standards (JARS), including transparent reporting of sample size determination, data exclusions, manipulations, and measures. All anonymized raw participant data are available at the Open Science Framework: https://doi.org/10.17605/OSF.IO/PTFBD.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
LGTBILesbian, Gay, Transgender, Bisexual, Intersex
FELGTBFederación Estatal de Lesbianas, Gais, Transexuales y Bisexuales
VIFVariance Inflation Factor
NBNon-Believer
NPBNon-Practicing-Believer
PBPracticing-Believer
MSTMinority Stress Theory

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Table 1. Sample characteristics according to sexual orientation.
Table 1. Sample characteristics according to sexual orientation.
Total
532
Heterosexual
(a)
212 (39.8)
Gay–Lesbian
(b)
182 (34.2)
Bisexual
(c)
138 (25.9)
p
Age31.15 (12.002)32.82 (12.618)33.46 (12.334)25.55 (8.319)F(2,531) = 22.037<0.001
Biological Sex χ2(2,532) = 28.915<0.001
Male200 (37.6)69 (32.5)96 (52.7)35 (25.4)
Female332 (62.4)143 (67.5)86 (47.3)103 (74.6)
Educational Level χ2(4,532) = 11.7340.019
Basic41 (7.7)16 (7.5)14 (7.7)11 (8.0)
Secondary179 (33.6)60 (28.3)57 (31.3)62 (44.9)
University312 (58.6)136 (64.2)111 (61.0)65 (47.1)
Religious Beliefs χ2(4,532) = 52.068<0.001
NB270 (50.8)69 (32.5)115 (63.2)86 (62.3)
NPB224 (42.1)116 (54.7)62 (34.1)46 (33.3)
PB38 (7.1)27 (12.7)5 (2.7)6 (4.3)
Note: For quantitative variables, M (SD), for categorical variables, n (%); NB: non-believer, NPB non-practicing believer, PB: practicing believer.
Table 2. Scores on the variables -spirituality, hopelessness, life satisfaction, and suicide risk-according to sexual orientation.
Table 2. Scores on the variables -spirituality, hopelessness, life satisfaction, and suicide risk-according to sexual orientation.
Total
532
Heterosexual
(a)
212 (39.8)
Gay–Lesbian
(b)
182 (34.2)
Bisexual
(c)
138 (25.9)
F(2,531)p
Suicide risk4.50 (3.182)3.17 (2.628)4.95 (3.168)5.94 (3.196)39.714<0.001
Hopelessness4.72 (3.946)3.97 (3.353)4.55 (3.976)6.09 (4.401)12.846<0.001
Life satisfaction16.67 (4.631)17.73 (4.193)16.51 (4.874)15.25 (4.568)12.608<0.001
Spirituality53.39 (18.193)58.45 (18.785)50.63 (16.826)49.24 (17.269)14.613<0.001
Note: For quantitative variables, M (SD), for categorical variables, n (%).
Table 3. Suicide risk (high vs. low) based on sexual orientation.
Table 3. Suicide risk (high vs. low) based on sexual orientation.
Total
532
Heterosexual
(a)
212 (39.8)
Gay–Lesbian (b)
182 (34.2)
Bisexual
(c)
138 (25.9)
χ2(2,532)p
Risk of suicide 58.263<0.001
High181 (34.0)33 (15.6)75 (41.2)73 (52.9)
Low351 (66.0)179 (84.4)107 (58.8)65 (47.1)
Note: For quantitative variables, M (SD), for categorical variables, n (%).
Table 4. Scores for the variables spirituality, hopelessness, and life satisfaction according to suicide risk (high vs. low).
Table 4. Scores for the variables spirituality, hopelessness, and life satisfaction according to suicide risk (high vs. low).
Total
532
High Risk of Suicide
181 (34.0)
Low Risk of Suicide
351 (66.0)
tp
Hopelessness4.72 (3.946)7.46 (4.684)3.30 (2.541)11.117<0.001
Life satisfaction16.67 (4.631)14.03 (4.716)18.03 (3.955)9.763<0.001
Spirituality53.39 (18.193)51.82 (18.028)54.19 (18.251)1.4240.155
Note: For quantitative variables, M (SD), for categorical variables, n (%).
Table 5. Pearson correlation coefficient between the variables studied.
Table 5. Pearson correlation coefficient between the variables studied.
1234
1Suicide risk1
2Hopelessness0.575/<0.0011
3Life satisfaction−0.486/<0.001−0.603/<0.0011
4Spirituality−0.064/0.143−0.160/<0.0010.072/0.0991
Note: Pearson correlation coefficient/significance.
Table 6. Linear regression analysis, taking suicide risk as the predicted variable and spirituality, hopelessness, and life satisfaction as predictor variables, according to total sample.
Table 6. Linear regression analysis, taking suicide risk as the predicted variable and spirituality, hopelessness, and life satisfaction as predictor variables, according to total sample.
Total SampleβtpR2pF(3,531)p
Model 1 0.362<0.00199.860<0.001
Hopelessness0.44810.161<0.001
Life satisfaction−0.2184.999<0.001
Spirituality0.0240.6760.499
Table 7. Linear regression analysis, taking suicide risk as the predicted variable and spirituality, hopelessness, and life satisfaction as predictor variables, according to sexual orientation.
Table 7. Linear regression analysis, taking suicide risk as the predicted variable and spirituality, hopelessness, and life satisfaction as predictor variables, according to sexual orientation.
HeterosexualβtpR2pF(3,211)p
Model 1 0.299<0.00129.633<0.001
Hopelessness0.4466.375<0.001
Life satisfaction−0.1371.9830.049
Spirituality−0.0641.0740.284
Gay-LesbianβtpR2pF(3,181)p
Model 1 0.342<0.00130.859<0.001
Hopelessness0.4475.986<0.001
Life satisfaction−0.1862.4860.014
Spirituality0.1332.1640.032
BisexualβtpR2pF(3,137)p
Model 1 0.428<0.00133.374<0.001
Hopelessness0.4575.222<0.001
Life satisfaction−0.2412.7660.006
Spirituality0.2143.2390.002
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Arbinaga, F.; Durán-Andrada, J.; Fuentes-Méndez, C.; Flores-Pérez, M.; Romero-Pérez, N.; Torres-Rosado, L.; Bernal-López, M. Sexual Orientation and Suicide Risk: Examining the Contributions of Hopelessness, Life Satisfaction, and Spirituality. Behav. Sci. 2026, 16, 406. https://doi.org/10.3390/bs16030406

AMA Style

Arbinaga F, Durán-Andrada J, Fuentes-Méndez C, Flores-Pérez M, Romero-Pérez N, Torres-Rosado L, Bernal-López M. Sexual Orientation and Suicide Risk: Examining the Contributions of Hopelessness, Life Satisfaction, and Spirituality. Behavioral Sciences. 2026; 16(3):406. https://doi.org/10.3390/bs16030406

Chicago/Turabian Style

Arbinaga, Félix, Jara Durán-Andrada, Cristina Fuentes-Méndez, Manuel Flores-Pérez, Nehemías Romero-Pérez, Lidia Torres-Rosado, and Miriam Bernal-López. 2026. "Sexual Orientation and Suicide Risk: Examining the Contributions of Hopelessness, Life Satisfaction, and Spirituality" Behavioral Sciences 16, no. 3: 406. https://doi.org/10.3390/bs16030406

APA Style

Arbinaga, F., Durán-Andrada, J., Fuentes-Méndez, C., Flores-Pérez, M., Romero-Pérez, N., Torres-Rosado, L., & Bernal-López, M. (2026). Sexual Orientation and Suicide Risk: Examining the Contributions of Hopelessness, Life Satisfaction, and Spirituality. Behavioral Sciences, 16(3), 406. https://doi.org/10.3390/bs16030406

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