Purpose

This study examines how mental health-specific leadership (MHSL) relates to employee mental health outcomes, including intrapersonal outcomes (burnout; work engagement) and interpersonal outcomes (team support; health-related extra-role performance), and the moderating role of stigmatizing attitudes toward mental health.

Design/methodology/approach

We surveyed 210 employees across 53 teams in a large public organization in the Netherlands and used multilevel path analyses to test our hypotheses.

Findings

At the individual level, MHSL was tentatively negatively associated with burnout, and positively associated with work engagement, team support and health-related extra-role performance. Stigmatizing attitudes moderated these relationships, tentatively weakening the MHSL–team support relationship and strengthening the MHSL–health-related extra-role performance relationship. At the team level, MHSL showed no significant associations.

Practical implications

Organizations may benefit from leadership development programs that promote mental health behaviors and foster supportive workplaces, particularly when combined with anti-stigma initiatives that reduce the impact of stigmatizing attitudes.

Originality/value

This study advances the concept of MHSL by linking it to intra- and interpersonal mental health outcomes, thereby extending health leadership frameworks. It provides novel insights into specific leadership behaviors that support employee mental health.

In today's fast-paced work environments, employee stress levels are rising: 44% report daily stress and 59% are disengaged from work (Gallup, 2023). Additionally, 29% of European workers report that their jobs caused or worsened depression and anxiety symptoms (EU-OSHA, 2025). These figures highlight the need for organizations to prioritize mental health. Leaders play a crucial role in fostering supportive and healthy workplaces (Montano et al., 2017). While general leadership behaviors may support follower mental health, it remains unclear which specific leadership behaviors promote a mentally healthy workplace.

This study focuses on mental health-specific leadership (MHSL), referring to leadership behaviors that foster a culture of promoting mental health and encourage employee engagement on mental-health topics (Adler et al., 2014). Unlike broader “healthy leadership” concepts that target general well-being (e.g. health-oriented or health-specific leadership), MHSL targets mental health specifically. Although health-oriented leadership interventions reduce stress and improve mental health (Stuber et al., 2021), their broad scope obscures which specific behaviors effectively target mental health. Furthermore, evidence on health-specific leadership and psychological outcomes is mixed. One study found no link with psychological strain (Gurt et al., 2011), while another found lower burnout and higher work engagement beyond general leadership (Kaluza et al., 2021). This inconsistency may reflect a dynamic unique to mental health: employees are often reluctant to disclose mental health challenges (Pischel and Felfe, 2023), and leaders frequently misattribute clear signals, such as declining performance, to low motivation (Pischel et al., 2023). Therefore, it is important to examine leader behavior explicitly aimed at supporting employee mental health, to increase our understanding of whether such specific attention benefits employee mental health.

This study investigates the role of MHSL in project teams, drawing on health-specific leadership literature (Gurt et al., 2011) and the job demands-resources (JD–R) model (Demerouti et al., 2001). We examine how MHSL relates to intrapersonal outcomes (i.e. burnout; work engagement) and interpersonal outcomes (i.e. team support; health-related extra-role performance), given leaders' influence on team processes (Stashevsky and Koslowsky, 2006). Beyond these direct relationships, an important question is whether MHSL impacts all individuals uniformly. Prior research suggests follower attitudes shape responses to leadership (Epitropaki et al., 2013). Since stigmatizing mental health attitudes (such as labeling, stereotyping, discrimination) remain common (Pescosolido et al., 2021), these may limit MHSL's effectiveness. Therefore, we test whether stigmatizing attitudes moderate MHSL's association with intra- and interpersonal outcomes.

Our article makes three contributions. First, we extend research on MHSL (Paganin et al., 2023) by linking it to employee mental health outcomes (i.e. burnout; work engagement). Second, we explore how MHSL fosters a supportive team environment by linking it to interpersonal outcomes (i.e. perceived team support; health-related extra-role performance). Third, we investigate stigmatizing attitudes as an individual-level moderator, offering insights for leadership development and interventions to support employee mental health.

MHSL stems from the broader concept of health-specific leadership, which focuses on leader behaviors aimed at improving health outcomes, such as informing employees about health topics (Adler et al., 2014; Gurt et al., 2011). Health-oriented leadership goes further than health-promoting leadership (i.e. general leader behaviors that support employee health, such as providing positive feedback and fostering a supportive work environment; Yao et al., 2021), by actively integrating health awareness into everyday interactions between leaders and employees, focusing on promoting well-being through these exchanges (Franke et al., 2014). Some studies linked these broader constructs to mental-health-related processes, such as disclosure intentions (Pischel and Felfe, 2023) and psychological safety (Esmaeilbeigi et al., 2025). This work, however, often treats mental health as just one aspect of overall health. We argue for the importance of focusing on mental health specifically, because mental health brings delicate challenges that general health does not, such as employees' reluctance to draw attention to it specifically (Pischel and Felfe, 2023). Leadership content that explicitly addresses mental health, rather than general health, may therefore more likely signal that the topic is safe to raise. Yet leadership research rarely focused on this specifically (see for exception: Paganin et al., 2023), and it remains unclear whether leaders' explicit focus on mental health adds value for employee mental health.

Building on health-specific leadership literature (Adler et al., 2014; Gurt et al., 2011), we define MHSL as leader behaviors reflecting clear commitment to supporting employee mental well-being. MHSL comprises (1) task-related behaviors (e.g. setting mental health goals, providing feedback) and (2) relationship-related behaviors (e.g. fostering open dialogue about mental health). Thus, mental health-specific leaders openly discuss and address employee mental health, take responsibility for it and actively involve employees in improvement efforts.

Although related to other constructs, MHSL is conceptually distinct in focus and scope. For example, psychological safety describes a team climate where employees feel safe to be vulnerable (Edmondson, 1999), while MHSL positions leaders as key agents fostering that safety. Leader–member exchange highlights trust and respect in leader–follower relationships (Graen and Uhl-Bien, 1995), while MHSL directs these qualities specifically toward recognizing and supporting employees' mental health needs. Ethical leadership emphasizes values such as fairness and care (Brown and Treviño, 2006), whereas MHSL translates these values into concrete mental health-focused behaviors. MHSL thus uniquely centers mental health within daily leadership practice.

Workplace mental health varies from mental illness to flourishing (Kelloway et al., 2023). We focus on burnout and work engagement as opposite ends of this spectrum. Burnout is a psychological syndrome marked by exhaustion, reduced cognitive and emotional control, and mental distancing (Schaufeli et al., 2002). Work engagement is “a positive, fulfilling work-related state of mind characterized by vigor, dedication, and absorption” (Schaufeli et al., 2002, p. 74).

To develop our predictions about MHSL's relationship with burnout and work engagement, we draw on the JD–R model (Demerouti et al., 2001), which distinguishes two pathways. In the health-impairment pathway, leaders can function as a demand, for example by imposing excessive workload, which contributes to burnout. In the motivational pathway, leaders can function as a resource, for example by offering support, which fosters work engagement. Prior research showed that constructive leadership may function as a resource that relates to followers' work engagement (Pletzer et al., 2024). MHSL can be considered a mental-health-specific form of constructive leadership. Rather than demonstrating general care, leaders demonstrate care specifically for followers' mental health. Drawing on the role of leadership in the JD–R model, we propose that MHSL supports employees' intrapersonal mental health through both pathways. MHSL behaviors, such as clearly communicating expectations, identifying early signs of overload and encouraging openness about help-seeking, can help employees set boundaries and mitigate stressors (Milligan-Saville et al., 2017). Simultaneously, MHSL fosters trust, demonstrates empathy and provides tailored, practical support. These behaviors can foster psychological safety (i.e. the belief that one can speak up about challenges, including mental health concerns, without fear of negative consequences; Edmondson, 1999). Such safety supports early help-seeking and reduces burnout risks (Edmondson, 1999).

In addition to direct support, MHSL encourages employees to actively participate in mental health initiatives. Such involvement can itself function as a resource by reinforcing a sense of purpose and influence over one's work environment. These effects are especially likely when leaders are perceived as caring, responsive and knowledgeable, which relates to reduced burnout and increased engagement (Decuypere and Schaufeli, 2020; Montano et al., 2017). Moreover, leaders who proactively develop mental health literacy contribute to a culture where mental health resources are more visible and accessible (Dimoff et al., 2016). Insights from leadership intervention studies support MHSL's potential: Brief feedback training reduced emotional exhaustion (Eastburg et al., 1994), while enhanced coaching skills improved engagement (Peláez Zuberbuhler et al., 2020). Thus:

H1.

MHSL relates (a) negatively to burnout and (b) positively to work engagement.

Because leadership affects both individuals and teams (Burke et al., 2006), we expect MHSL to also influence interpersonal outcomes. Leaders foster supportive environments of trust, care and collaboration through high-quality relationships that guide team interaction (Kim et al., 2021). For example, Paganin et al. (2023) found that MHSL reduced interpersonal conflict at work.

We examine two key interpersonal outcomes of effective team functioning: (1) perceived team support, reflecting employees' experience of a social environment characterized by warmth, trust, reliability and safety (West et al., 2004) and (2) health-related extra-role performance, involving voluntarily helping colleagues facing mental or physical health challenges (Bowling, 2010). We focus on health-related extra-role performance because it illustrates how MHSL can foster compassion and inclusion through everyday interactions. Although MHSL emphasizes mental health, we adopt a broader view for health-related extra-role performance. Namely, employees may not know whether a colleague's struggles are mental or physical. Even so, support in either case may strengthen team cohesion.

MHSL may foster team support and health-related extra-role performance in two interconnected ways. First, by modeling supportive behaviors, such as checking in with team members, encouraging dialogue and offering help, leaders signal that mental health is valued, reinforcing norms of care and openness (Bandura, 1986; Nielsen and Daniels, 2012). Over time, these norms may foster psychological safety and encourage employees to engage in behaviors beyond their formal role expectations (Edmondson, 1999). Second, MHSL may also improve how team members interact. By creating a safe space to talk about mental health and encouraging support during difficult times, MHSL can foster reciprocal behaviors among team members. These interactions can build mutual respect, cooperation and proactive problem-solving over time (Cropanzano and Mitchell, 2005). Therefore:

H2.

MHSL relates positively to (a) perceived team support and (b) health-related extra-role performance.

The strength of MHSL's relationship with intra- and interpersonal outcomes may depend on employee characteristics, particularly employees' stigmatizing attitudes toward mental health. Stigmatizing attitudes refer to negative evaluative beliefs about individuals with mental health issues, such as viewing them as incompetent, unreliable or unable to cope with job demands (Link and Phelan, 2001).

Regarding intrapersonal mental health outcomes, we expect stigmatizing attitudes to undermine MHSL's beneficial role in reducing burnout and enhancing work engagement. Research on stereotypes shows that individuals categorize themselves and others based on salient characteristics, such as mental health status, which are shaped by persistent cultural stereotypes (Turner, 1999). Mental health issues are often seen as signs of weakness or unprofessionalism (Abdullah and Brown, 2011). Once internalized, these stereotypes influence how individuals process information. People tend to reject perspectives that challenge their beliefs and selectively attend to cues that confirm existing views (Howard and Rothbart, 1980). Therefore, employees with strong stigmatizing attitudes may feel discomfort or defensiveness toward MHSL behaviors emphasizing mental health openness, as these behaviors conflict with their self-image. This can trigger cognitive and emotional dissonance, which may lead to disengagement from MHSL initiatives, avoiding discussions about mental health or downplaying their own difficulties. In turn, such resistance may undermine MHSL's benefits for reducing burnout.

Similarly, stigmatizing attitudes may weaken MHSL's benefits for work engagement. According to person–environment fit theory, value clashes between employees and leaders can diminish engagement (Kristof-Brown et al., 2005). MHSL aims to foster trust, emotional safety and support to encourage full employee investment (Adler et al., 2014). However, employees who hold stigmatizing attitudes toward mental health may see these behaviors as conflicting with their values or workplace norms that prioritize resilience or task focus over emotional connection. This misalignment reduces MHSL's relevance and motivational effect. Thus, MHSL is less likely to enhance work engagement among employees with stronger stigmatizing attitudes.

H3.

Stigmatizing attitudes moderate the relationship of MHSL with (a) burnout, such that higher levels of stigmatizing attitudes weaken the negative relationship between MHSL and burnout, and (b) work engagement, such that higher levels of stigmatizing attitudes weaken the positive relationship between MHSL and work engagement.

Regarding interpersonal outcomes, we expect strong stigmatizing attitudes to weaken the relationship between MHSL and both perceived team support and health-related extra-role performance, through two related mechanisms. Stigmatizing attitudes involve viewing individuals with mental health challenges as fundamentally different from oneself, reflecting an underlying bias. Central to this is drawing a boundary between “us” and “them”: Once someone is labeled through a stigmatizing lens, they are seen as categorically different, rather than as full member of one's own group, creating social distance (Corrigan et al., 2001; Link and Phelan, 2001). This matters because people generally feel more likely to identify with, connect with and support those they see as their in-group (Balliet et al., 2014). Beyond this social distance, a leader who models empathy and support for colleagues with mental health challenges typically invites reciprocation: Employees come to see mutual support as a team norm, and respond by supporting others themselves (Emerson, 1976). For employees who hold stigmatizing attitudes, both processes are disrupted. The social distance they feel toward colleagues experiencing mental health problems makes MHSL's emphasis on empathy and support feel less relevant, or even uncomfortable, while their conflicting beliefs weaken the reciprocal response that MHSL would otherwise invite. Together, these employees are less likely to experience the team climate MHSL fosters as warm and trustworthy and to feel supported by it themselves, and are less likely to take to heart the norm of mutual support that MHSL establishes, dampening their motivation to offer help, show initiative or contribute to an inclusive team atmosphere.

H4.

Stigmatizing attitudes moderate the relationship of MHSL with (a) perceived team support, such that high levels of stigmatizing attitudes weaken the positive relationship between MHSL and perceived team support and (b) health-related extra-role performance, such that high levels of stigmatizing attitudes weaken the positive relationship between MHSL and health-related extra-role performance.

Participants were recruited from a Dutch public organization as part of a European mental health project H-WORK, with ethical approval obtained from the Ethics Review Board of University of Amsterdam (2021-WOP-13113). Senior managers distributed the online questionnaire link among project team employees. An information letter outlined the study's purpose, confidentiality and voluntary participation; participants then provided digital informed consent. To reduce social desirability bias, given the sensitivity of mental health topics and the distribution via managers, we assured participant anonymity. Results were reported only in aggregate form, with supervisors having no access to individual data. To further emphasize research independence, the university-hosted Qualtrics survey prominently displayed our university logo.

The organization has a matrix structure, with employees reporting to both formal supervisors and project managers. We focused on project managers as leaders given their central role in employees' daily work. Of the 417 employees who began the questionnaire, 267 completed it. We excluded 33 project managers (to focus on employee perceptions) and 24 participants who did not indicate a team. The final sample included 210 employees (79% male, 21% female) across 53 teams. Age was measured categorically: 0.5% were <25, 13.3% were 25–34, 24.3% were 35–44, 34.3% were 45–54, 23.8% were 55–64 and 3.8% were ≥65. Tenure was >10 years for 49.5%. Educational levels were predominantly Bachelor's (61.9%) and Master's (27.6%).

The survey was in Dutch. When needed, items were adapted and translated from English, using translation back-translation methods. Appendix 1 provides all measures. Table 1 displays Cronbach's alphas. MHSL was assessed with seven items adapted from the Health-Specific Leadership Scale (Gurt et al., 2011), rewording “health” to “mental health and well-being.” Stigmatizing attitudes were measured with a five-item subscale from the Opening Minds Survey for Workplace Attitudes (Dobson and Szeto, 2021). Burnout was assessed with the BAT-12 (Hadžibajramović et al., 2022) and work engagement with the UWES-9 (Schaufeli et al., 2006). Perceived team support was measured with a three-item subscale from the Team Performance Inventory (West et al., 2004), and health-related extra-role performance with a single item from the Organizational Citizenship Behavior Scale (Smith et al., 1983). Although multi-item scales are often preferred, single-item measures can be suitable for narrow, clearly defined constructs (Matthews et al., 2022). Given our focus on specific support behaviors toward unwell colleagues, a single-item measure was deemed appropriate.

Table 1

Descriptive statistics and correlations for study variables

VariableMSDICC1234567
1. Agea3.791.080.095       
2. Genderb1.210.410.128−0.17*      
3. Mental health-specific leadership2.940.920.1070.17*0.11(0.95)    
4. Stigmatizing attitudes2.620.600.0330.18**−0.08−0.09(0.75)   
5. Burnout2.060.500.072−0.060.16*−0.110.08(0.88)  
6. Work engagement4.391.000.0450.01−0.050.11−0.07−0.28**(0.72) 
7. Perceived team support4.010.760.218−0.080.030.31**−0.07−0.24**0.18**(0.92)
8. Health-related extra-role performance4.301.080.027−0.070.110.16*−0.20**−0.23**0.23**0.21**

Note(s): Cronbach's alpha values for the scales are provided on the diagonal axis, indicated in brackets. N = 210

*p < 0.05. **p < 0.01

a

Age was categorized as 1–6

b

Gender was coded as male = 0, female = 1

Source(s): Authors’ own work

Given age and gender differences in well-being (Inglehart, 2002), we considered these as potential control variables. Following Becker et al. (2016), correlations with outcomes were examined to assess the need for inclusion in the analyses.

To test our hypotheses, we conducted multilevel path analyses in Mplus 8.8, with employees (Level 1) nested within teams (Level 2), using maximum likelihood estimation with robust standard errors (MLR). This approach decomposes variance into a within-team component (individual level) and a between-team component (team level), allowing to examine relationships between MHSL and the outcomes at both the individual and team level.

We estimated eight models (one per outcome variable) with four including only main effects and four additionally including the MHSL × stigmatizing attitudes interaction. Separate models were preferred over a multivariate specification due to instability in the latter, including negative variance estimates at the team level. The limited number of clusters (k = 53) and small average cluster size (M = 3.96) likely prevented reliable parameter estimation in the multivariate model.

MHSL and stigmatizing attitudes were standardized prior to analysis. MHSL and the four outcomes were modeled at both levels. Because stigmatizing attitudes reflect an individual-level construct, it was standardized and specified as a within-level variable. The interaction term was computed as the product of the two standardized variables and included as an individual-level predictor. We explicitly distinguish effects significant at the conventional 0.05 level from those significant only at the more lenient 0.10 level; the latter are reported for transparency but interpreted with additional caution. Significant interactions were further examined using simple slopes (MODEL CONSTRAINT function in Mplus).

Table 1 displays descriptives and correlations. Because age related to MHSL (r = 0.17, p = 0.015) and stigmatizing attitudes (r = 0.18, p = 0.008), and gender related to burnout (r = 0.16, p = 0.024), we included these as individual-level covariates in subsequent analyses.

In the sampled population, team size ranged from five to 16 members. In our sample, we identified 53 distinct teams, with 1–9 respondents per team (M = 3.96; SD = 2.34). Intraclass correlations (Table 1) show that 2.7%–21.8% of the variance in the study variables resided at the team level, with the remaining 78.2%–97.3% at the individual level.

Figure 1 displays the theoretical model with key individual-level results (see Appendix 2 for full results). Hypothesis 1a, predicting a negative association between MHSL and burnout, was supported at the individual level at the 0.10 level (B = −0.08, p = 0.064), but not at the 0.05 level [1]. At the team level, the MHSL-burnout relationship was not significant (B = 0.26, p = 0.190). Hypothesis 1b, predicting a positive association between MHSL and work engagement, was supported at the individual level (B = 0.16, p = 0.043), but not at the team level (B = −0.52, p = 0.176). Hypothesis 2a, predicting a positive association between MHSL and perceived team support, was supported at the individual level (B = 0.26, p < 0.001), but not at the team level (B = 0.37, p = 0.679). Hypothesis 2b, predicting a positive association between MHSL and health-related extra-role performance, was supported at the individual level (B = 0.16, p = 0.025), but not at the team level (B = −0.06, p = 0.865).

Figure 1
A diagram showing the relationships between mental health-specific leadership, stigmatizing attitudes, and outcomes.The diagram illustrates the relationships between mental health-specific leadership (MHSL) and four outcomes, and the moderating role of stigmatizing attitudes in these relationships. For the intrapersonal outcomes, MHSL was positively related to work engagement (B = 0.16, p = 0.043) but not significantly related to burnout (B = −0.08, p = 0.064). For the interpersonal outcomes, MHSL was positively related to perceived team support (B = 0.26, p < 0.001) and health-related extra-role performance (B = 0.16, p = 0.025). Stigmatizing attitudes did not significantly moderate the relationships between MHSL and burnout (B = −0.00, p = 0.942), work engagement (B = 0.03, p = 0.605), or perceived team support (B = −0.08, p = 0.067). Stigmatizing attitudes did moderate the relationship between MHSL and health-related extra-role performance (B = 0.17, p = 0.004). Solid lines represent significant paths (p < 0.05); dashed lines represent nonsignificant paths.

Theoretical model with key individual-level results. Note: Results reflect individual-level estimates. Team-level relationships of MHSL were nonsignificant for all outcomes. Solid lines represent significant paths (p < 0.05); dashed lines represent nonsignificant paths. Source: Authors’ own work

Figure 1
A diagram showing the relationships between mental health-specific leadership, stigmatizing attitudes, and outcomes.The diagram illustrates the relationships between mental health-specific leadership (MHSL) and four outcomes, and the moderating role of stigmatizing attitudes in these relationships. For the intrapersonal outcomes, MHSL was positively related to work engagement (B = 0.16, p = 0.043) but not significantly related to burnout (B = −0.08, p = 0.064). For the interpersonal outcomes, MHSL was positively related to perceived team support (B = 0.26, p < 0.001) and health-related extra-role performance (B = 0.16, p = 0.025). Stigmatizing attitudes did not significantly moderate the relationships between MHSL and burnout (B = −0.00, p = 0.942), work engagement (B = 0.03, p = 0.605), or perceived team support (B = −0.08, p = 0.067). Stigmatizing attitudes did moderate the relationship between MHSL and health-related extra-role performance (B = 0.17, p = 0.004). Solid lines represent significant paths (p < 0.05); dashed lines represent nonsignificant paths.

Theoretical model with key individual-level results. Note: Results reflect individual-level estimates. Team-level relationships of MHSL were nonsignificant for all outcomes. Solid lines represent significant paths (p < 0.05); dashed lines represent nonsignificant paths. Source: Authors’ own work

Close Figure 1

Hypothesis 3, proposing that stigmatizing attitudes moderate MHSL's relationships with burnout (3a) and work engagement (3b), was not supported, as neither interaction was significant at the individual level.

Hypothesis 4a predicted that stigmatizing attitudes weaken the positive link between MHSL and perceived team support. The individual-level MHSL × stigmatizing attitudes interaction was not significant at the.05 level, but was significant at the 0.10 level (B = −0.08, p = 0.067). Simple slopes analysis suggested a stronger positive relationship between MHSL and team support at low stigmatizing attitudes (M − 1SD; B = 0.34, p < 0.001) compared to high stigmatizing attitudes (M + 1SD; B = 0.17, p = 0.031), though both slopes were significantly positive (see Figure 2).

Figure 2
Two line graphs showing the relationship between MHSL and team support and health-related extra-role performance at different levels of SA.Two line graphs share an x-axis labeled Low MHSL (-1SD) to High MHSL (+1SD) and y-axes labeled Predicted Value of Team Support and Predicted Value of Health-related Extra-role Performance. Left graph: Low SA: Predicted Value of Team Support increases from about 3.8 to 4.6. Average SA: Predicted Value of Team Support increases from about 4.0 to 4.4. High SA: Predicted Value of Team Support increases from about 4.2 to 4.2. Right graph: Low SA: Predicted Value of Health-related Extra-role Performance increases from about 4.0 to 4.5. Average SA: Predicted Value of Health-related Extra-role Performance remains about 4.5. High SA: Predicted Value of Health-related Extra-role Performance increases from about 4.5 to 5.0.

Simple slopes of stigmatizing attitudes (SA) moderating the relationship between mental health-specific leadership (MHSL) and perceived team support (left), and between MHSL and health-related extra-role performance (right). Note: SA = stigmatizing attitudes; MHSL = mental health-specific leadership. Simple slopes reflect within-level estimates from multilevel. Source: Authors’ own work

Figure 2
Two line graphs showing the relationship between MHSL and team support and health-related extra-role performance at different levels of SA.Two line graphs share an x-axis labeled Low MHSL (-1SD) to High MHSL (+1SD) and y-axes labeled Predicted Value of Team Support and Predicted Value of Health-related Extra-role Performance. Left graph: Low SA: Predicted Value of Team Support increases from about 3.8 to 4.6. Average SA: Predicted Value of Team Support increases from about 4.0 to 4.4. High SA: Predicted Value of Team Support increases from about 4.2 to 4.2. Right graph: Low SA: Predicted Value of Health-related Extra-role Performance increases from about 4.0 to 4.5. Average SA: Predicted Value of Health-related Extra-role Performance remains about 4.5. High SA: Predicted Value of Health-related Extra-role Performance increases from about 4.5 to 5.0.

Simple slopes of stigmatizing attitudes (SA) moderating the relationship between mental health-specific leadership (MHSL) and perceived team support (left), and between MHSL and health-related extra-role performance (right). Note: SA = stigmatizing attitudes; MHSL = mental health-specific leadership. Simple slopes reflect within-level estimates from multilevel. Source: Authors’ own work

Close Figure 2

Hypothesis 4b predicted that stigmatizing attitudes weaken the positive link between MHSL and health-related extra-role performance. The individual-level MHSL × stigmatizing attitudes interaction was significant (B = 0.17, p = 0.004). However, in contrast to Hypothesis 4b, simple slopes analysis showed that MHSL was positively related to health-related extra-role performance at high stigmatizing attitudes (M + 1SD; B = 0.36, p = 0.001), but not at low stigmatizing attitudes (M − 1SD; B = 0.01, p = 0.886) (see Figure 2).

This study examined how MHSL relates to intra- and interpersonal employee well-being, and whether these relationships are moderated by stigmatizing attitudes. At the individual level, MHSL related to intrapersonal outcomes (i.e. tentatively negatively to burnout and positively to work engagement) and interpersonal outcomes (i.e. positively to team support and health-related extra-role performance). At the team level, MHSL was not related to these outcomes. Stigmatizing attitudes moderated the relationships with interpersonal, but not intrapersonal, outcomes. Specifically, high stigmatizing attitudes tentatively weakened the positive MHSL-perceived team support relationship, and unexpectedly strengthened the MHSL-health-related extra-role performance relationship.

This study makes several theoretical contributions. First, it advances health-specific leadership research by defining and empirically examining MHSL. The findings for intrapersonal outcomes may reflect the nature of MHSL, which was operationalized primarily as fostering team resources and a supportive climate, rather than providing direct, individualized support to employees in distress. Drawing on the JD–R model (Demerouti et al., 2001), such resource-enhancing behaviors may function as a job resource that directly fuels work engagement by enhancing employees' sense of belonging, psychological safety and motivation. In contrast, burnout, and particularly emotional exhaustion, is more strongly driven by job demands (Demerouti et al., 2001). Because MHSL primarily adds resources rather than demands, its relationship with burnout may be less pronounced in a general workforce sample. This is consistent with recent work in a general workforce sample suggesting that resource-enhancing leadership behaviors tend to play a stronger role in fostering positive work-related states than in mitigating more distal strain outcomes such as burnout (Sijbom and Grutterink, 2026). However, the weaker findings for burnout do not necessarily preclude the strain-reducing potential of MHSL. Rather, this effect may more likely emerge among employees experiencing mental health challenges, for whom MHSL may extend beyond resource provision to reduce stigma, facilitate disclosure and provide more targeted support. This aligns with evidence that leader openness to mental health discussions promotes well-being in this population (Pischel and Felfe, 2023). Together, these findings suggest that the theoretical scope of MHSL with respect to strain outcomes is perhaps more circumscribed than the initial framework assumed, and that further theoretical development is needed to specify for which employees MHSL matters most.

Second, our study contributes to team leadership research (e.g. Burke et al., 2006) by linking MHSL to perceived team support and health-related extra-role performance at the individual level. Consistent with social cognitive theory (Bandura, 1986), leaders who model supportive, open behaviors may encourage similar responses among team members, fostering reciprocal support and mutual care within teams (Cropanzano and Mitchell, 2005). Notably, these findings emerged at the individual rather than the team level, suggesting that MHSL is interpreted and enacted idiosyncratically rather than as a uniform team-level phenomenon.

Third, our study extends stigma research by examining the perspective of stigmatizers. Stigmatizing attitudes did not uniformly moderate MHSL's associations across outcomes. For perceived team support, the interaction reached significance only at the 0.10 level, so this finding should be interpreted with caution. Tentatively, employees with stronger stigmatizing attitudes seemed to benefit less from MHSL, possibly because such attitudes promote out-group categorization and reduce trust (Turner, 1999). Self-stigma may further reduce help-seeking and social engagement (Prizeman et al., 2023; Vogel et al., 2006), limiting MHSL's effectiveness. In contrast, stigmatizing attitudes strengthened the association between MHSL and health-related extra-role performance. Employees with low stigmatizing attitudes showed no association, suggesting they may engage in such behaviors through other motivational pathways. This divergence may reflect a fundamental distinction between perceptual and behavioral outcomes: while stigmatizing attitudes may distort how employees perceive the team climate, behavior is also shaped by social norms. Leaders may establish such norms by modeling inclusive behaviors (Bandura, 1986), thereby creating normative pressure on employees, particularly those with stigmatizing attitudes, to align their behavior accordingly. Future research should examine these mechanisms and assess whether these effects persist over time.

While our study provides valuable insights into MHSL, it also has limitations. First, its correlational design prevents causal inferences and limits assessment of MHSL's long-term effects. Future research could use longitudinal designs to examine how MHSL evolves and impacts intrapersonal and interpersonal outcomes over time.

Second, the reliance on employee perceptions to measure MHSL risks common-method bias and may inflate observed relationships (Podsakoff et al., 2003). Employees may also be unaware of certain supportive leader behaviors occurring behind the scenes, limiting a full capture of MHSL. To capture MHSL more comprehensively, future research could also employ leader self-reports and objective indicators like employee involvement in mental health initiatives or resource access.

Third, the team-level relationships of MHSL were nonsignificant for all outcomes, potentially caused by power constraints at the team level. Moreover, the relatively small team sizes prevented us from examining within-team variability in perceptions of MHSL. Future research should collect data from larger numbers of teams with more respondents per team. This would allow examination of how team-level MHSL as well as its dispersion relates to collective outcomes such as team climate, psychological safety or shared perceptions of team support.

Our findings offer several practical implications that can inform organizational policy and leadership training frameworks aimed at creating mentally healthy, inclusive workplaces. First, our findings highlight the importance of leadership development that equips leaders with mental health-specific skills within training frameworks. Although MHSL interventions remain limited, evidence suggests that mental health training for leaders can foster work engagement and supportive team environments (Stuber et al., 2021). A critical starting point is improving leaders' mental health literacy and reducing stigma. Mental health leadership training programs (Dimoff et al., 2016) may use role-playing and scenario-based exercises to help leaders recognize distress, engage in supportive conversations and refer employees to appropriate resources. Such interventions may be particularly valuable in high-stigma, male-dominated industries (e.g. construction, agriculture, manufacturing), where mental health challenges are prevalent (Roche et al., 2016).

Second, our findings show that MHSL appears to operate primarily through individual-level interactions rather than uniform team processes. Leaders should therefore prioritize tailored one-on-one conversations that address employee well-being. Simultaneously, leaders can normalize mental health discussions in team settings by acknowledging stressors and modeling openness, for instance by sharing coping strategies (Dimoff and Kelloway, 2019; Ito et al., 2025; Milligan-Saville et al., 2017). In high-risk contexts such as healthcare, leaders may further support well-being by acknowledging emotional demands, encouraging brief team debriefings after difficult cases and creating space for staff to discuss stress. Such practices can enhance psychological safety and promote early help-seeking (Edmondson, 1999; Pischel and Felfe, 2023).

Third, our findings tentatively suggest that stigmatizing attitudes may limit MHSL's association with team support. Organizations should therefore complement leadership development policies with anti-stigma initiatives. Programs like Mental Health First Aid can reduce misconceptions and foster supportive attitudes (Hadlaczky et al., 2014). Embedding mental health into onboarding, regular team check-ins and leadership communication can further normalize the topic and encourage disclosure (Pischel and Felfe, 2023).

Finally, MHSL appears especially effective in boosting health-related extra-role performance in teams where mental health stigma is more prevalent. This suggests that leaders can foster prosocial behaviors even in high-stigma contexts by modeling supportive mental health behaviors. Combining leadership development with stigma reduction may therefore be promising in fostering an environment that encourages health-related extra-role performance.

Our study highlights the role of MHSL in project teams and shows that it links to both intrapersonal (work engagement) and interpersonal outcomes (team support and health-related extra-role performance). Stigmatizing attitudes shaped these interpersonal relationships, strengthening the association with health-related extra-role performance and, more tentatively, weakening the association with team support. These findings deepen the theoretical understanding of how leadership behaviors are linked to supportive behaviors in teams and offer valuable practical insights for organizations aiming to build mentally healthy, inclusive workplaces.

1.

Further analyses on the BAT-12 subscales showed the relationship was significant for mental distance (see Appendix 3).

The supplementary material for this article can be found online.

Abdullah
,
T.
and
Brown
,
T.L.
(
2011
), “
Mental illness stigma and ethnocultural beliefs, values, and norms: an integrative review
”,
Clinical Psychology Review
, Vol. 
31
No. 
6
, pp. 
934
-
948
, doi: .
Adler
,
A.B.
,
Saboe
,
K.N.
,
Anderson
,
J.
,
Sipos
,
M.L.
and
Thomas
,
J.L.
(
2014
), “
Behavioral health leadership: new directions in occupational mental health
”,
Current Psychiatry Reports
, Vol. 
16
No. 
10, 484
, doi: .
Balliet
,
D.
,
Wu
,
J.
and
De Dreu
,
C.K.W.
(
2014
), “
Ingroup favoritism in cooperation: a meta-analysis
”,
Psychological Bulletin
, Vol. 
140
No. 
6
, pp. 
1556
-
1581
, doi: .
Bandura
,
A.
(
1986
),
Social Foundations of Thought and Action
,
Prentice-Hall
,
Englewood Cliffs, NJ
.
Becker
,
T.E.
,
Atinc
,
G.
,
Breaugh
,
J.A.
,
Carlson
,
K.D.
,
Edwards
,
J.R.
and
Spector
,
P.E.
(
2016
), “
Statistical control in correlational studies: 10 essential recommendations for organizational researchers
”,
Journal of Organizational Behavior
, Vol. 
37
No. 
2
, pp. 
157
-
167
, doi: .
Bowling
,
N.A.
(
2010
), “
Effects of job satisfaction and conscientiousness on extra-role behaviors
”,
Journal of Business and Psychology
, Vol. 
25
No. 
1
, pp. 
119
-
130
, doi: .
Brown
,
M.E.
and
Treviño
,
L.K.
(
2006
), “
Ethical leadership: a review and future directions
”,
The Leadership Quarterly
, Vol. 
17
No. 
6
, pp. 
595
-
616
, doi: .
Burke
,
C.S.
,
Stagl
,
K.C.
,
Klein
,
C.
,
Goodwin
,
G.F.
,
Salas
,
E.
and
Halpin
,
S.M.
(
2006
), “
What type of leadership behaviors are functional in teams? A meta-analysis
”,
The Leadership Quarterly
, Vol. 
17
No. 
3
, pp.
288
-
307
, doi: .
Corrigan
,
P.W.
,
Edwards
,
A.B.
,
Green
,
A.
,
Diwan
,
S.L.
and
Penn
,
D.L.
(
2001
), “
Prejudice, social distance, and familiarity with mental illness
”,
Schizophrenia Bulletin
, Vol. 
27
No. 
2
, pp. 
219
-
225
, doi: .
Cropanzano
,
R.
and
Mitchell
,
M.S.
(
2005
), “
Social exchange theory: an interdisciplinary review
”,
Journal of Management
, Vol. 
31
No. 
6
, pp. 
874
-
900
, doi: .
Decuypere
,
A.
and
Schaufeli
,
W.
(
2020
), “
Leadership and work engagement: exploring explanatory mechanisms
”,
German Journal of Human Resource Management
, Vol. 
34
No. 
1
, pp. 
69
-
95
, doi: .
Demerouti
,
E.
,
Bakker
,
A.B.
,
Nachreiner
,
F.
and
Schaufeli
,
W.B.
(
2001
), “
The job demands-resources model of burnout
”,
Journal of Applied Psychology
, Vol. 
86
No. 
3
, pp. 
499
-
512
, doi: .
Dimoff
,
J.K.
and
Kelloway
,
E.K.
(
2019
), “
With a little help from my boss: the impact of workplace mental health training on leader behaviors and employee resource utilization
”,
Journal of Occupational Health Psychology
, Vol. 
24
No. 
1
, pp. 
4
-
19
, doi: .
Dimoff
,
J.K.
,
Kelloway
,
E.K.
and
Burnstein
,
M.D.
(
2016
), “
Mental health awareness training (MHAT): the development and evaluation of an intervention for workplace leaders
”,
International Journal of Stress Management
, Vol. 
23
No. 
2
, pp. 
167
-
189
, doi: .
Dobson
,
K.S.
and
Szeto
,
A.C.H.
(
2021
), “The assessment of mental health stigma in the workplace”, in
Dobson
,
K.S.
and
Stuart
,
H.
(Eds),
The Stigma of Mental Illness: Models and Methods of Stigma Reduction
,
Oxford University Press
,
New York, NY
, pp.
55
-
70
.
Eastburg
,
M.C.
,
Williamson
,
M.
,
Gorsuch
,
R.
and
Ridley
,
C.
(
1994
), “
Social support, personality, and burnout in nurses
”,
Journal of Applied Social Psychology
, Vol. 
24
No. 
14
, pp. 
1233
-
1250
, doi: .
Edmondson
,
A.
(
1999
), “
Psychological safety and learning behavior in work teams
”,
Administrative Science Quarterly
, Vol. 
44
No. 
2
, pp. 
350
-
383
, doi: .
Emerson
,
R.M.
(
1976
), “
Social exchange theory
”,
Annual Review of Sociology
, Vol. 
2
No. 
1
, pp.
335
-
362
, doi: .
Epitropaki
,
O.
,
Sy
,
T.
,
Martin
,
R.
,
Tram-Quon
,
S.
and
Topakas
,
A.
(
2013
), “
Implicit leadership and followership theories ‘in the wild’: taking stock of information-processing approaches to leadership and followership in organizational settings
”,
The Leadership Quarterly
, Vol. 
24
No. 
6
, pp. 
858
-
881
, doi: .
Esmaeilbeigi
,
D.
,
Sahraei Beiranvand
,
M.
and
Mohammadipour
,
F.
(
2025
), “
The effect of health-promoting leadership of nursing managers on the work withdrawal behaviors and psychological safety of nurses
”,
PLoS One
, Vol. 
20
No. 
4
, e0321131, doi: .
European Agency for Safety and Health at Work
(
2025
), “
OSH pulse 2025: occupational safety and health in the era of climate and digital change
”,
available at:
 Link to the website
Franke
,
F.
,
Felfe
,
J.
and
Pundt
,
A.
(
2014
), “
The impact of health-oriented leadership on follower health: development and test of a new instrument measuring health-promoting leadership
”,
German Journal of Human Resource Management
, Vol. 
28
Nos
1-2
, pp. 
139
-
161
, doi: .
Gallup
(
2023
),
State of the Global Workplace: 2023 Report
,
available at:
 Link to the website
Graen
,
G.B.
and
Uhl-Bien
,
M.
(
1995
), “
Relationship-based approach to leadership: development of leader-member exchange (LMX) theory of leadership over 25 years: applying a multi-level multi-domain perspective
”,
The Leadership Quarterly
, Vol. 
6
No. 
2
, pp. 
219
-
247
, doi: .
Gurt
,
J.
,
Schwennen
,
C.
and
Elke
,
G.
(
2011
), “
Health-specific leadership: is there an association between leader consideration for the health of employees and their strain and well-being?
”,
Work and Stress
, Vol. 
25
No. 
2
, pp. 
108
-
127
, doi: .
Hadlaczky
,
G.
,
Hökby
,
S.
,
Mkrtchian
,
A.
,
Carli
,
V.
and
Wasserman
,
D.
(
2014
), “
Mental Health First Aid is an effective public health intervention for improving knowledge, attitudes, and behaviour: a meta-analysis
”,
International Review of Psychiatry
, Vol. 
26
No. 
4
, pp. 
467
-
475
, doi: .
Hadžibajramović
,
E.
,
Schaufeli
,
W.
and
De Witte
,
H.
(
2022
), “
Shortening of the burnout assessment tool (BAT)—from 23 to 12 items using content and rasch analysis
”,
BMC Public Health
, Vol. 
22
No. 
1
, 560, doi: .
Howard
,
J.W.
and
Rothbart
,
M.
(
1980
), “
Social categorization and memory for in-group and out-group behavior
”,
Journal of Personality and Social Psychology
, Vol. 
38
No. 
2
, pp. 
301
-
310
, doi: .
Inglehart
,
R.
(
2002
), “
Gender, aging, and subjective well-being
”,
International Journal of Comparative Sociology
, Vol. 
43
Nos
3-5
, pp. 
391
-
408
, doi: .
Ito
,
A.
,
Harrison
,
J.A.
and
Bligh
,
M.
(
2025
), “
Supervisors' self-disclosure enhances subordinates' trust: the mediating role of subordinates' charismatic attributions
”,
Journal of Management Development
, Vol. 
44
No. 
1
, pp. 
25
-
38
, doi: .
Kaluza
,
A.J.
,
Weber
,
F.
,
van Dick
,
R.
and
Junker
,
N.M.
(
2021
), “
When and how health-oriented leadership relates to employee well-being: the role of expectations, self-care, and LMX
”,
Journal of Applied Social Psychology
, Vol. 
51
No. 
4
, pp.
404
-
424
, doi: .
Kelloway
,
E.K.
,
Dimoff
,
J.K.
and
Gilbert
,
S.
(
2023
), “
Mental health in the workplace
”,
Annual Review of Organizational Psychology and Organizational Behavior
, Vol. 
10
No. 
1
, pp. 
363
-
387
, doi: .
Kim
,
K.Y.
,
Atwater
,
L.
,
Jolly
,
P.
,
Ugwuanyi
,
I.
,
Baik
,
K.
and
Yu
,
J.
(
2021
), “
Supportive leadership and job performance: contributions of supportive climate, team-member exchange (TMX), and group-mean TMX
”,
Journal of Business Research
, Vol. 
134
, pp.
661
-
674
, doi: .
Kristof-Brown
,
A.L.
,
Zimmerman
,
R.D.
and
Johnson
,
E.C.
(
2005
), “
Consequences of individuals' fit at work: a meta-analysis of person–job, person–organization, person–group, and person–supervisor fit
”,
Personnel Psychology
, Vol. 
58
No. 
2
, pp. 
281
-
342
, doi: .
Link
,
B.G.
and
Phelan
,
J.C.
(
2001
), “
Conceptualizing stigma
”,
Annual Review of Sociology
, Vol. 
27
No. 
1
, pp. 
363
-
385
, doi: .
Matthews
,
R.A.
,
Pineault
,
L.
and
Hong
,
Y.H.
(
2022
), “
Normalizing the use of single-item measures: validation of the single-item compendium for organizational psychology
”,
Journal of Business and Psychology
, Vol. 
37
No. 
4
, pp. 
639
-
673
, doi: .
Milligan-Saville
,
J.S.
,
Tan
,
L.
,
Gayed
,
A.
,
Barnes
,
C.
,
Madan
,
I.
,
Dobson
,
M.
,
Bryant
,
R.A.
,
Christensen
,
H.
,
Mykletun
,
A.
and
Harvey
,
S.B.
(
2017
), “
Workplace mental health training for managers and its effect on sick leave in employees: a cluster randomised controlled trial
”,
The Lancet Psychiatry
, Vol. 
4
No. 
11
, pp. 
850
-
858
, doi: .
Montano
,
D.
,
Reeske
,
A.
,
Franke
,
F.
and
Hüffmeier
,
J.
(
2017
), “
Leadership, followers' mental health and job performance in organizations: a comprehensive meta-analysis from an occupational health perspective
”,
Journal of Organizational Behavior
, Vol. 
38
No. 
3
, pp. 
327
-
350
, doi: .
Nielsen
,
K.
and
Daniels
,
K.
(
2012
), “
Does shared and differentiated transformational leadership predict followers' working conditions and well-being?
”,
The Leadership Quarterly
, Vol. 
23
No. 
3
, pp. 
383
-
397
, doi: .
Paganin
,
G.
,
De Angelis
,
M.
,
Pische
,
E.
,
Violante
,
F.S.
,
Guglielmi
,
D.
and
Pietrantoni
,
L.
(
2023
), “
The impact of mental health leadership on teamwork in healthcare organizations: a serial mediation study
”,
Sustainability
, Vol. 
15
No. 
9
, 7337, doi: .
Peláez Zuberbuhler
,
M.J.
,
Salanova
,
M.
and
Martínez
,
I.M.
(
2020
), “
Coaching-based leadership intervention program: a controlled trial study
”,
Frontiers in Psychology
, Vol. 
10
, 3066, doi: .
Pescosolido
,
B.A.
,
Halpern-Manners
,
A.
,
Luo
,
L.
and
Perry
,
B.
(
2021
), “
Trends in public stigma of mental illness in the US, 1996-2018
”,
JAMA Network Open
, Vol. 
4
No. 
12
, e2140202, doi: .
Pischel
,
S.
and
Felfe
,
J.
(
2023
), “
‘Should I tell my leader or not?’ – health-oriented leadership and stigma as antecedents of employees' mental health information disclosure intentions at work
”,
Journal of Occupational and Environmental Medicine
, Vol. 
65
No. 
1
, pp. 
74
-
85
, doi: .
Pischel
,
S.
,
Felfe
,
J.
and
Krick
,
A.
(
2023
), “
Health-oriented leadership: antecedents of leaders' awareness regarding warning signals of emerging depression and burnout
”,
German Journal of Human Resource Management
, Vol. 
37
No. 
3
, pp. 
169
-
198
, doi: .
Pletzer
,
J.L.
,
Breevaart
,
K.
and
Bakker
,
A.B.
(
2024
), “
Constructive and destructive leadership in job demands-resources theory: a meta-analytic test of the motivational and health-impairment pathways
”,
Organizational Psychology Review
, Vol. 
14
No. 
1
, pp.
131
-
165
, doi: .
Podsakoff
,
P.M.
,
MacKenzie
,
S.B.
,
Lee
,
J.Y.
and
Podsakoff
,
N.P.
(
2003
), “
Common method biases in behavioral research: a critical review of the literature and recommended remedies
”,
Journal of Applied Psychology
, Vol. 
88
No. 
5
, pp. 
879
-
903
, doi: .
Prizeman
,
K.
,
Weinstein
,
N.
and
McCabe
,
C.
(
2023
), “
Effects of mental health stigma on loneliness, social isolation, and relationships in young people with depression symptoms
”,
BMC Psychiatry
, Vol. 
23
No. 
1
, 527, doi: .
Roche
,
A.M.
,
Pidd
,
K.
,
Fischer
,
J.A.
,
Lee
,
N.
,
Scarfe
,
A.
and
Kostadinov
,
V.
(
2016
), “
Men, work, and mental health: a systematic review of depression in male-dominated industries and occupations
”,
Safety and Health at Work
, Vol. 
7
No. 
4
, pp. 
268
-
283
, doi: .
Schaufeli
,
W.B.
,
Bakker
,
A.B.
and
Salanova
,
M.
(
2006
),
Utrecht Work Engagement Scale-9, Educational and Psychological Measurement (UWES-9)
,
APA PsycTests
.
Schaufeli
,
W.B.
,
Salanova
,
M.
,
González-Romá
,
V.
and
Bakker
,
A.B.
(
2002
), “
The measurement of engagement and burnout: a two sample confirmatory factor analytic approach
”,
Journal of Happiness Studies
, Vol. 
3
No. 
1
, pp. 
71
-
92
, doi: .
Sijbom
,
R.B.L.
and
Grutterink
,
H.
(
2026
), “
Participative leadership and workgroup commitment as multilevel resources for employee well-being: a cross-level examination
”,
Applied Psychology
, Vol. 
75
No. 
2
, e70081, doi: .
Smith
,
C.A.
,
Organ
,
D.W.
and
Near
,
J.P.
(
1983
), “
Organizational citizenship behavior: its nature and antecedents
”,
Journal of Applied Psychology
, Vol. 
68
No. 
4
, pp. 
653
-
663
, doi: .
Stashevsky
,
S.
and
Koslowsky
,
M.
(
2006
), “
Leadership team cohesiveness and team performance
”,
International Journal of Manpower
, Vol. 
27
No. 
1
, pp. 
63
-
74
, doi: .
Stuber
,
F.
,
Seifried-Dübon
,
T.
,
Rieger
,
M.A.
,
Gündel
,
H.
,
Ruhle
,
S.
,
Zipfel
,
S.
and
Junne
,
F.
(
2021
), “
The effectiveness of health-oriented leadership interventions for the improvement of mental health of employees in the health care sector: a systematic review
”,
International Archives of Occupational and Environmental Health
, Vol. 
94
No. 
2
, pp. 
203
-
220
, doi: .
Turner
,
J.C.
(
1999
), “
Some current issues in research on social identity and self-categorization theories
”, in
Ellemers
,
N.
,
Spears
,
R.
and
Doosje
,
B.
(Eds),
Social Identity: Context, Commitment, Content
, pp.
6
-
34
.
Vogel
,
D.L.
,
Wade
,
N.G.
and
Haake
,
S.
(
2006
), “
Measuring the self-stigma associated with seeking psychological help
”,
Journal of Counseling Psychology
, Vol. 
53
No. 
3
, pp. 
325
-
337
, doi: .
West
,
M.A.
,
Markiewicz
,
L.
and
Dawson
,
J.F.
(
2004
),
TPI: The Team Performance Inventory: User Guide
,
Aston Organization Development
,
Birmingham
.
Yao
,
L.
,
Li
,
P.
and
Wildy
,
H.
(
2021
), “
Health-promoting leadership: concept, measurement, and research framework
”,
Frontiers in Psychology
, Vol. 
12
, 602333, doi: .
Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence.

Supplementary data

or Create an Account

Close subscription notice
Close access options