Although evidence has been mounting that supervisor support training interventions promote employee job, health, and well-being outcomes, there is little understanding of the mechanisms by which such interventions operate (e.g., Hammer et al., 2022; Inceoglu et al., 2018), nor about the integration of such organizational-level interventions with individual-level interventions (e.g., Lamontagne et al., 2007). Thus, the present study attempts to unpack the mechanisms through which supervisor support training interventions operate. In addition, the present study examines an integrated Total Worker Health® intervention that combines health protection in the form of supervisor support training (i.e., family supportive supervisor behaviors and supervisor support for sleep health) with a health promotion approach in the form of feedback to improve sleep health behaviors. Using a cluster randomized controlled trial drawing on a sample of 704 full-time employees, results demonstrate that the Total Worker Health intervention improves employee job well-being (i.e., increased job satisfaction and reduced turnover intentions), personal well-being (i.e., reduced stress before bedtime), and reduces personal and social functional impairment at 9 months postbaseline through employee reports of supervisors' support for sleep at 4 months postbaseline, but not through family supportive supervisor behaviors. Effects were not found for general stress or occupational functional impairment outcomes. Implications are discussed, including theoretical mechanisms by which leadership interventions affect employees, supervisor training, as well as the role of integrated organizational and individual-level interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The attention to workplace mental health is timely given extreme levels of burnout, anxiety, depression and trauma experienced by workers due to serious extraorganizational stressors – the COVID-19 pandemic, threats to climate change, and extreme social and political unrest. Workplace-based risk factors, such as high stress and low support, are contributing factors to poor mental health and suicidality (Choi, 2018; Milner et al., 2013, 2018), just as low levels of social connectedness and belonging are established risk factors for poor mental health (Joiner et al., 2009), suggesting that social support at work (e.g., from supervisors) may be a key approach to protecting and promoting employee mental health. Social connections provide numerous benefits for health outcomes and are as, or more, important to mortality as other well-known health behaviors such as smoking and alcohol consumption (Holt-Lundstad et al., 2015), and can serve as a resource or buffer against the deleterious effects of stress or strain on psychological health (Cohen & Wills, 1985). This manuscript provides an evidence-based framework for understanding how supervisor supportive behaviors can serve to protect employees against psychosocial workplace risk factors and promote social connection and belongingness protective factors related to employee mental health. We identify six theoretically-based Mental Health Supportive Supervisor Behaviors (MHSSB; i.e., emotional support, practical support, role modeling, reducing stigma, warning sign recognition, warning sign response) that can be enacted and used by supervisors and managers to protect and promote the mental health of employees. A brief overview of mental health, mental disorders, and workplace mental health is provided. This is followed by the theoretical grounding and introduction of MHSSB. Suggestions for future research and practice follow, all with the focus of developing a better understanding of the role of supervisors in protecting and promoting employee mental health in the workplace.

The Safety and Health Improvement Program (SHIP) was designed to increase workers’ safety and health using supervisor/leadership training. SHIP was implemented and evaluated in a cluster randomized controlled trial with 20 supervisors and 292 construction crew members representing a high-risk industry. The intervention had three components: (1) computer-based training to teach supervisors ways to better support worker safety and work-life challenges; (2) supervisor behavioural self-monitoring to facilitate transfer of training to practice; and (3) team-based discussions with supervisors and work crew members to identify challenges and opportunities for improvement with 30, 60, and 90 day follow-up check-in meetings. Main effects for the intervention on perceptions of family supportive supervisor behaviors, team effectiveness, and work-life effectiveness were not found, suggesting that the pre-intervention context could help explain the lack of intervention effects. We found that the intervention was more beneficial for work crew members who had poorer pre-intervention perceptions of their supervisor (lower leader-member exchange) and lower perceived team cohesion, suggesting the important impact of the organisational context on intervention effects. We argue that perhaps these work crews were more ready for change and improvements in functioning than were the crews that were already functioning well.