Lower on the totem pole: The influence of sense of control and anxiety on cortisol at lower hierarchical levels
Several studies have found that hierarchical position either increases or reduces physiological stress. The purpose of this study is to investigate the moderating effect of sense of control or trait anxiety on the relationship between hierarchical position and physiological stress. We hypothesize that sense of control or trait anxiety could be buffers (accelerants) in lowering (increasing) physiological stress for those higher (lower) in the hierarchy. We draw on a sample of 202 Portuguese executives. Our findings indicate that relative to top-level managers those lower in the hierarchical position had a lower salivary cortisol. Considering the moderating effects of sense of control or trait anxiety, executives lower in the hierarchy who have a higher sense of control or report higher trait anxiety levels had higher cortisol levels. Sense of control or trait anxiety may aid in the understanding of more subtle associations between hierarchical position and physiological stress.
Keywords: Cortisol; Anxiety; Stress; Sense of control; Leadership.
Stress in the workplace can affect employees at every level (Beehr, 2014). Stress influences outcomes ranging from job turnover and satisfaction to individual and group performance (Biron & Karanika-Murray, 2014). Managing employee stress is essential to improving the well-being of employees and is increasingly gaining importance as a critical managerial agenda (e.g., Pfeffer, 2009). Both direct (such as higher health insurance costs) and indirect (such as absenteeism or turnover) costs associated with employee stress affect organizational performance (Landy, Quick, & Kasl, 1994). Given its mounting importance, studies have increasingly focused on variations in physiological manifestations of stress at different hierarchical levels in the organization. However, studies have found mixed support for the association between hierarchical position and physiological stress (e.g., Sherman et al., 2012 or Cahoon & Rowney, 1984).
Those higher in the hierarchy have more power and discretion (Carpenter & Golden, 1997), allowing them greater degrees of freedom in exercising a sense of control over their job tasks and in meeting job demands (Hage & Aiken, 1969). Conversely, those lower in the hierarchy exercising greater sense of control may not be able to leverage sense of control as a buffer due to their limited discretion in improving their job context or job tasks (Parker, 1998). In addition to the varying efficacy of sense of control at different hierarchical levels, those higher in the hierarchy must be more vigilant to threats and greater trait anxiety could help devise more viable and informed actions (cf. Cisler & Koster, 2010). Anxiety induces greater vigilance to threats and impels individuals to devise strategies to overcome threats (Eysenck, 1989). Those exhibiting greater trait anxiety at lower levels of the hierarchy may react more negatively as hierarchical constraints limit coping for such lower rung employees, whereas, those at higher levels of the hierarchy could leverage trait anxiety as a vigilance tool to improve performance in face of complex and uncertain job tasks (Vie, Glasø, & Einarsen, 2010).
Tying the mixed findings on hierarchical position and stress with buffering roles of sense of control and trait anxiety contingent on hierarchical position, the purpose of this study is to assess whether employees, depending on their hierarchical position, could leverage sense of control (Keeton, Perry-Jenkins, & Sayer, 2008) or trait anxiety (Spielberger, 1983) to buffer against physiological stress. While sense of control is generally construed as a positive employee characteristic, we test whether those lower in hierarchy may experience more stress when exercising sense of control. As such, we test the ‘dark side’ of a sense of control. While trait anxiety is generally construed as a negative trait, we test whether those with higher trait anxiety and higher in hierarchy may experience relatively lower stress. The findings provide a deeper understanding of physiologically manifested aspects of stress.
Physiological stress and leadership research
Stress occurs when “individuals perceive that they cannot adequately cope with the demands being made on them or with threats to their well-being” (Lazarus, 1966, p. 9). In particular, stress in the workplace arises with intensification of job demands, time pressure, lack of control, and more. During stressful and demanding periods, cortisol is secreted through increasing gluconeogenesis (Gröschl, 2008; Shabani et al., 2011). Salivary cortisol, in particular, is used to measure free cortisol (Dorn et al., 2007; Hellhammer, Wüst, & Kudielka, 2009), and it reflects a fraction of the serum concentration (Papacosta & Nassis, 2011; Inder, Dimeski, & Russel, 2012). Cortisol, an arousal hormone released by the hypothalamic-pituitary-adrenal (HPA) axis, is present in saliva, blood, and urine. Salivary cortisol is reliable and, according to Vining et al. (1983) and Gröschl (2008), provides several advantages because it is a noninvasive method that is presumably less stressful than blood collection. It also allows for repeated measures, is easily repeatable, has a simple collection procedure, and can be performed outside research laboratories (Inder, Dimeski, & Russel, 2012).
Hierarchy and physiological stress
Studying the relationship between the hierarchical position (indicating increasing leadership responsibility) in humans and salivary cortisol has been less common. Indeed, the predominant literature that examines the relationship between hierarchical position and stress has focused on primates and other non-human species. Gesquiere et al. (2011) studied baboons and concluded that males in higher ranks had lower stress hormone levels. The pertinence and relevance of these findings related to the relationship between stress and hierarchies in humans is multi-contextual. Sapolsky (2005) discussed how humans belong to multiple hierarchies (for example, the workplace or community) and primarily value the one in which they hold a higher rank. Furthermore, humans possess psychological resources that enable them to rationalize and relativize the meaning and consequences of a rank (Sapolsky, 2005). The evidence on the association between stress and the hierarchical position in an organization is mixed.
On the one hand, some authors (e.g., Levinson, 1980; Cahoon & Rowney, 1984) claim that individuals in top positions have higher stress levels. According to Sapolsky (2005) those in higher ranks are exposed to more physiological and psychological stressors and thus experience higher stress levels. This line of studies claims that top managers face important and demanding decisions. Advances in the hierarchy of an organization increase the responsibility, challenges and demands (March & Weiner, 2003). Leaders are responsible for managing others (Sherman et al., 2012) and must handle conflicts, make important decisions, and have greater job responsibilities. Higher workload and frequent travel also increase physical demands on leaders (Campbell et al., 2007). Leaders can be expected to experience more stressful events (Levinson, 1980; Lovelace, Manz, & Alves, 2007). As such, they need to stay prepared for the physiological consequences of the higher stakes decisions they make.
On the other hand, a parallel stream of research has found that those higher in the hierarchy experience less stress. Among primates, when hierarchies are stable and subordinates do not challenge the top ranks, the subordinates display higher stress levels (Sapolsky, 2005), conversely, if attaining higher ranks require frequent in-fighting, the subordinates display lower stress levels (Sapolsky, 2005). Moving up in the hierarchy brings greater control and power over resources and job tasks. Sherman et al. (2012) provide new insights to the field, advocating that higher leadership position leaders have psychological and physiological advantages. Sherman et al. (2012), in a sample from government and military personnel, found that individuals at higher leadership positions enjoy psychological advantages, which translate into lower levels of psychological stress. Highlighting the distinction in the job context between government or military personnel and firm executives, Sapolsky (2012, p. 17731) explained, “neither the government nor the military seems likely to go out of business soon.” Therefore, we use a sample of non-military individuals because leaders in military and government positions are less likely to experience stress as their positions involve fewer threatening or confrontational situations.
Departing from Sherman et al.’s (2012) results on government and military personnel, Sherman at al. (2012) and Mehta and Josephs (2010) found that those who are in higher leadership positions are more capable of managing stress and thus show lower levels of stress, either psychological or physiological, compared with other non-leaders in an organization. Based on their findings and extending the still-scarce existing studies that relate hierarchical position and the stress hormone cortisol, we posit the following:
Hypothesis 1:There is a negative relationship between the hierarchical position and salivary cortisol.
The role of sense of control
Sense of control is the “earned, generalized belief that one can and does master, control, and shape one’s own life” (Keeton, Perry-Jenkins, & Sayer, 2008, p. 213). High sense of control is linked to proactive behaviors and positive psychological outcomes, such as lower anxiety levels (Mirowsky & Ross, 1991). Lower sense of control is related to depression, stress, and anxiety (e.g., Chorpita & Barlow, 1998; Shapiro, Schwartz, & Astin, 1996). Employees mitigate occupational stress by leveraging psychological resources such as sense of control to meet job demands (Hobfoll & Shirom, 2000; Schaubroeck & Merritt, 1997).
We posit that greater sense of control at lower levels of hierarchy increases physiological stress. Exercising sense of control requires greater decision-making autonomy and greater control of the worker’s work environment (Batt & Valcour, 2003). Those lower in the hierarchy who are motivated to seek control of their work environment could face hurdles due to lower autonomy and limited discretion. Decreasing ability to influence tasks at lower hierarchical levels could be inconsistent with behaviors emanating from sense of control. For those in lower ranks of the hierarchy, exercising sense of control could increase explicit and implicit job demands, as in greater perceptions of sense of control strengthens perception of greater ability to influence job tasks, however, limited resources and hierarchical restraints could impede such efforts. As individuals lower in the hierarchy are more likely to receive feedback and instructions, with increasing sense of control, those at lower levels in the hierarchy may not be able to meet hierarchical demands and their internal sense of control that impels them to take initiatives (cf. Guadet, Tremblay, & Doucet, 2014). For those lower in the hierarchy, exerting a sense of control may result in lower job satisfaction and greater emotional exhaustion because sense of control may lead to uncertainty in executing their job tasks.
Considering the conservation of resources framework resources play an important role in stress management (Hobfoll, 1988). According to the conservation of resource theory, when resources are “lost, depleted, or threatened, individuals experience stress” (Bolino, Valcea, and Harvey, 2010, page 329), employees can leverage sense of control as they buffer resources to manage stress. Although those higher in the hierarchy have a greater level of responsibilities, they also have greater discretion in decision making (Carpenter & Golden, 1997). Due to the lower ability to control job tasks at lower levels of hierarchy, sense of control could be less valuable and could increase less efficacious efforts to exercise control as such employees have lower control and limited access to resources, rendering the value of sense of control significantly lower (Wall, Cordery, Clegg, 2002). With increasing administrative intensity at lower levels of the hierarchy (Freeman & Kronenfeld, 1973), those lower in the hierarchy must abide by more rules and procedures than those higher in the hierarchy. The lower hierarchical levels also have lower discretion in decision making and execution of job tasks (cf. Carpenter & Golden, 1997). As an alternate lens to explain greater stress among those with a higher sense of control at lower ranks of the hierarchy, resource dependence theory states that power is negatively associated with dependence (Bolino et al. 2010). Those at lower levels of the hierarchy have lower power; therefore, they are dependent on others to acquire, leverage, and synthesize resources to accomplish job tasks. As such, sense of control may be a less efficacious buffer in lowering stress for those lower in the hierarchy.
With greater sense of control, those lower in the hierarchy could take initiatives to re-conceptualize and reevaluate their job tasks, which could then introduce uncertainty and instability in how they must acquire and organize resources with increasingly lower power at lower levels of hierarchy. For those higher in the hierarchy, stress levels could be lower as they can leverage their sense of control better through greater stability and security of power and access to resources. The coping mechanism from a sense of control is generally reactive and has limited long-term effects (cf. Kompier et al. 2000). Lower discretion and decision authority at lower levels of the hierarchy along with lower control are at odds with a higher sense of control. Drawing from demand-control model (Karasek, 1998), those at lower levels in the hierarchy may have lower control over their jobs and exerting a higher sense of control could exacerbate stress. Those higher in the hierarchy have greater autonomy and latitude in decision making as well as have greater access to resources. Sense of control for those higher in the hierarchy adds to more favorable coping mechanisms such that the individuals experience lower stress. Those higher in the hierarchy have greater autonomy and discretion, allowing them to manage their job tasks and create buffers against job demands and control mismatch so that they adjust better to varying job demands (cf. Lachman and Weaver, 1998).
We propose the following hypothesis:
Hypothesis 2: Sense of control moderates the relationship between the leadership position and salivary cortisol such that those with a higher sense of control at lower levels of organizational hierarchy will have higher salivary cortisol.
Trait Anxiety and Hierarchy
Trait anxiety refers to a context-dependent tendency to respond to perceived environmental threats with anxiety (Spielberger, 1983, p. 3); it is contingent on the hierarchical position and stress could be understood through affective events theory. Affective events theory explains how work-related events elicit affective responses that then influence job attitudes, cognition, and behavior (Weiss & Cropanzano, 1996). Factors driving affective response include stressful work place events, work-group dynamics, and leader-member exchange (Weiss & Beal, 2005). Employee cognition and behaviors are more likely to be included by felt emotions, while negative emotions can increase perceived anxiety. Emotions drive tendencies towards affect-driven actions, instead of judgement-driven actions, which could result in more stressful outcomes (Lazarus, 1990). Those with higher trait anxiety have a negative outlook and are more likely to interpret ambiguous situations more negatively. Anxiety elicits a tendency towards avoidance or escape, resulting in feelings of ambiguity wherein an individual could face further threats when acting (Beehr, 2014).
Trait anxiety could benefit those higher in the hierarchy and be less beneficial to those lower in the hierarchy. Those lower in the hierarchy must fulfill standards and expectations from supervisors, which leads to anxiety of insufficiency (Muschalla, Linden, & Olbrich, 2010 et al. 2010) and is further fueled by competition with colleagues, resulting in health-related anxiety (Muschalla et al. 2010). The expectations from those above and the need to maintain parity with co-workers could lead to greater stress in those with higher trait anxiety (Fehm & Schmidt, 2006). Although there is increasing structure for tasks at lower levels of the hierarchy, greater feelings of anxiety could increase inaction, restrict the ability to accomplish tasks, increase pessimistic evaluation of the job context, and lower situational control. Therefore, those reporting higher state anxiety may not be able to buffer against job demands at lower levels of the hierarchy and instead experience higher physiological stress (cf. Spielberger, Anton, & Bedell, 2015).
Lower stress for those with higher trait anxiety and who are higher in the hierarchy is salient because leaders not only have latitude for action, but they must increasingly resolve environmental threats. Those with higher trait anxiety attend more often to threat-related information and stimuli (Mogg et al., 1990). Based on the idea that only the paranoid survive, trait anxiety, while it may not lower stress, provides buffers for those higher in the hierarchy. Mughal, Walsh and Wilding (1996) propose that “Subjects high in anxiety allegedly invest greater task effort in attaining a given level of effectiveness, with a resulting reduction in efficiency” (page 685). Those higher in the hierarchy are less focused on efficiency and more focused on effectiveness.
Continuing from this logic, we hypothesize that those lower in the hierarchy who display higher trait anxiety may have higher stress levels. Those lower in the hierarchy have more structured tasks than individuals higher in the hierarchy (cf. Halevy, Chou, & Galinsky, 2011). Higher trait anxiety could significantly increase threat perceptions for routinized tasks at lower levels in the hierarchy, increasing stress levels. Due to limited discretion at lower levels in a hierarchy (cf. Osterman, 1994), instability could increase stress as more anxious individuals could perceive such changes to routinized tasks as more threatening. Anxiety elicits behaviors that increase psychological resource drain (Hobfall, 1989), which further increases the gap between job demand and control.
We propose the following hypothesis:
Hypothesis 3: Trait anxiety moderates the relationship between a leadership position and salivary cortisol such that those with higher trait anxiety at lower levels of the organizational hierarchy have higher salivary cortisol levels.
Salivary cortisol has been used increasingly in the field of physiological stress research (Ahn et al., 2007; Kirschbaum & Hellhammer, 2008; Hellhammer, Wüst, & Kudielka, 2009; Inder, Dimeski, & Russel, 2012). Cortisol as a manifestation of stress is also popular in diverse fields, including clinical endocrinology, fertility, sports medicine, and behavioral research (Gröschl, 2008). As the self-report measures of stress are subject to bias, adding to research on hormones in the leadership context (Mehta and Josephs, 2010), we focus on the hormone cortisol as a proxy for physiological stress.
The target population of the study was employees at different hierarchical positions in non-governmental organizations. The participants were recruited from executive courses at a university in Lisbon, a research institute, and three private companies. This selection procedure ensured representativeness among the participants, companies and sectors.
The participants received an email inviting them to take part in the study. The email described the study and informed participants on date, time (between 12:00 and 14:00), and location for providing saliva sample. The email instructed participants to abstain from eating, brushing teeth, ingesting medicines or any drugs, exercising, smoking, or drinking coffee one hour before providing the saliva sample (e.g., Sherman et al., 2012). At the time of providing saliva sample, the participants were also required to complete a questionnaire. The questionnaire (average response time: 15 minutes) was pretested in an executive class with 12 students at a university in Lisbon to verify that the respondents understood the content and clarity of the items as well as all directions. All participants signed a consent form for participating in the study in which confidentiality and anonymity were guaranteed. To thank the participants, we offered lunch at the university and free parking.
Additional screening. Prior research has noted that the salivary cortisol response can be mitigated or mistaken as stressful events in the presence of several factors, including mood states such as depression or strong psychological challenges and long-term exercise. Additionally, oral contraceptives, the menstrual cycle, or pregnancy can affect the analysis, and the results must be interpreted with care (Kirschbaum et al., 1996; Hjortskov et al., 2004; Gröchl, 2008; Hellhammer, Wüst, & Kudielka, 2009). Certain behaviors, such as alcohol intake, caffeine consumption, and smoking should also be considered (Steptoe et al., 1998). Accordingly, the participants were screened for exercise, heart conditions, pregnancy, and several other contraindications such as diabetes or hypertension. We excluded individuals who were pregnant or were breastfeeding; had any heart conditions, such as arrhythmia, a pacemaker or requiring heart medication; or had a chronic medical condition such as diabetes or hypertension.
After this exclusion, saliva sample was available for 211 participants. Among these 211 participants, we were only able to gather usable personal information for 202 individuals (97 women and 105 men) who had an average age of 40 years (SD=9.8 years). The leadership positions of the participants were distributed as follows: 42% were non-leaders, and the leaders were distributed as 12% top managers, 16% first-line managers, and 29% intermediate managers. The majority of the participants (89%) had an academic degree, and 65% were married. In terms of income, half of the participants had a gross annual income of less than 29,999 Euros, and only 3% had a gross annual income higher than 105,000 Euros. The majority of the participants worked in the private sector (66%), 19% worked in the nonprofit sector, and the remaining 15% worked in the public sector. The most frequent reported industries were consultancy and scientific (31%) and finance and insurance (11%). The least frequent sectors represented in the sample were agriculture, forestry and fishing; construction; transportation; and storage, each with .5%. Approximately 47% of the participants worked in organizations with more than 251 employees, and only 6% worked in organizations with fewer than nine employees.
Salivary cortisol.To reduce reliance on self-report stress data, we directly measured the participants’ cortisol levels. Although salivary cortisol has proven to be of merit in stress research, cortisol collection requires several precautions. First, the collection procedure, storage, and preparation of the samples must follow rigorous and established protocols, as noted by Gröschl (2008). Second, the collection time is influential because of the adrenal secretion associated with circadian rhythms (Vining et al., 1983; Gröschl, 2008). Healthy individuals have a decrease in cortisol levels from morning to evening, and the peak level is reached after awakening (Gröschl, Rauh, & Dörr, 2003). To overcome all potential challenges, we followed strict protocols and procedures of collection, storage, and analysis of the samples. The time of the study, for example, was chosen carefully to address these concerns. The sessions were conducted between 12:00 and 14:00 to lower the effects of the circadian fluctuations in cortisol (e.g., Mehta & Josephs, 2010; Sherman et al., 2012). Each participant provided a 2-mL saliva sample in a container and completed the questionnaire. The procedure was assisted and supervised by two laboratory technicians who immediately took control and stored the samples. The samples were stored at between 2ºC and 8ºC until analysis using the electrochemiluminescence technique (limit of sensitivity between 0.5 nmol/L to 1750 nmol/L).
Trait Anxiety. We used the Portuguese version of the State-Trait Anxiety Inventory (STAI), which was developed by Spielberg (1983), translated to Portuguese by McIntyre and McIntyre (1995) and validated by McIntyre, McIntyre, and Silvério (2000) and Fernandes and McIntyre (2002) on the Portuguese population.
Participants were asked to respond about how they usually feel on a 4-point scale (anchored by 1 = almost never to 4 = almost always) related to a number of statements, such as “I feel nervous and restless”, “I worry too much over something that really does not matter” or “I feel pleasant” and “I am a steady person”. Cronbach’s alpha indicated a reliability of .87.
Sense of control. To evaluate the participants’ sense of control or power within their relationships, we used the scale developed by Anderson, John, and Keltner (2012). The scale includes eight items and assesses the degree of power and control in the individuals’ relationships. The participants indicated their agreement with statements such as “I think I have a great deal of power” or “My ideas and opinions are often ignored”, on a scale that ranged from 1 = disagree strongly to 7 = agreestrongly(α = .80).
Hierarchical position.We captured the respondents’ leadership with categorical variables, where 1=top manager [reference category]; 2=first-line managers; 3= intermediate managers and 4=non-leaders (i.e., a respondent who was not responsible for managing others).
Controls. We controlled for the size of the organization (categorical variable where 1= less than or equal to 9 employees; 2= between 10 and 49 employees; 3= between 51 and 249 employees; and 4= more than 250 employees). We also controlled for sociodemographic variables such as work experience (total number of years of work experience), gender (=1 if women; 0 if men), marital status (=1 if not married, i.e., single, divorced or widowed; 0 if married, cohabiting or consensual union), education (categorical variable, where 1=less than high/secondary school, 5=PhD); income (categorical variable where =1 if the total individual gross income is less than or equal to 29,999 Euros; 0 if greater than 30,000 Euros); and socioeconomic status (SES). We obtained an adapted self-reported measure of the subjective SES based on the work of Adler et al. (2000). The participants were presented with a picture of three ladders and were asked to choose a rung from the ten available that best represented where they stood in the country, their communities, and their jobs. The three scales were averaged to create the self-reported subjective SES index (α = .79).
Descriptive Results and Hypotheses Testing
Table 1 presents the means, SDs and correlations of the study variables. In Table 2, without inclusion of controls presents ANOVA analysis.
Cortisol has a mean of 18.60 nmol/L (SD=8.64) and a log mean of 1.22 nmol/L (SD=.20). Women have significantly lower levels of cortisol than men (p =.002). The higher the individual is in the hierarchical position, the higher are the values of cortisol (20.40 for top managers; 18.71 for first-line managers; 18.57 for intermediate managers; and 18.05 for non-leaders) and there is no significant effect of leadership position (F=.48, p =.70). There is no significant difference in terms of age (less than or equal to 39 vs more than 40 years old; p =.75), tenure (less than or equal to five years vs more than six years; p =.52), marital status (p =.75), education (p =.97), income (p =.26) or organization size (small firms vs medium to large firms; p =.14).
Anxiety has a mean of 36.85 (SD=8.26). While women had lower cortisol levels, they presented with significantly higher levels of anxiety (p = .005). The anxiety levels increase when descending the hierarchy (34.88 for top managers; 35.91 for first-line managers; 36.66 for intermediate managers; and 37.92 for non-leaders) and there is no significant effect of leadership position (F=1.10, p =.35). There is no significant difference in terms of age (p = .13), tenure (p = .32), marital status (p = .16), education (p = .73), income (p = .16) or size (p = .61).
The mean value for a sense of control is 43.72 (SD=5.74), and individuals higher in the hierarchical position displayed higher values for a sense of control (48.08 for top managers; 45.79 for first-line managers; 43.97 for intermediate managers; and 41.47 for non-leaders), with a significant different between groups (F=12.43, p = <.001). On average, men (p <.001) and individuals with a higher level of education (p = .01) and income (p <.001) reported higher values of a sense of control.
To test our hypotheses, we ran a multilevel mixed-effects regression for (log) cortisol as the dependent variable. Specifically, we use two levels of nesting: (i) public vs. private sector and (ii) industry codes [CAE (Código das Actividades Empresariais) industry codes from code A (agriculture, forestry and fishing) to U (activities of international organizations)]. The nature of the tasks may significantly differ between the public and private sectors, where variations in organizational goals and missions could lead to different levels of job demands and efficacies of hierarchical positions. Industries also systematically differ in the nature of the input-output processes. As such, to control for shared errors between employees in these sector and industry classes, we specify a mixed model in Stata 12.
The results are presented in Table 3. Model (1) includes the hierarchical position, sense of control, anxiety and organizational and sociodemographic control variables. Based on model (1), we assess the role of hierarchy (top management as base category) on stress. Hypothesis 1 proposed that there is a negative relationship between the hierarchical position and salivary cortisol. Intermediate and non-leader positions (β = – .06, p <.001 for intermediate managers and β = – .07, p <.001 for non-leaders). Relative to top managers, individuals in lower hierarchical positions had lower stress.
Model (2) displays the results for Hypothesis 2, which proposed that a sense of control moderates the relationship between leadership position and salivary cortisol. At lower levels of the hierarchy, a sense of control exacerbates stress (β =.02, p <.001 for intermediate managers and β = .01, p = .004 for non-leaders). Therefore, individuals with a higher sense of control at lower levels of organizational hierarchy will have higher salivary cortisol.
To test hypothesis 3, which proposed that trait anxiety moderates the relationship between leadership position and salivary cortisol, we show the results in model (3). Accordingly, anxiety exacerbates stress for first-line managers and non-leaders relative to top managers (β = .01, p <.001 for first-line managers and β = .01, p = .07 for non-leaders).
Finally, model (4) includes all variables, and the results are in line with the previous models.
Discussion and Conclusion
The results of the present study advance the understanding of whether hierarchical positions are associated with physiological stress (measured by the stress hormone cortisol) in humans. First, adding to the ongoing conversation on the mixed association between the hierarchical position and stress (e.g., Sherman et al., 2012 or Cahoon & Rowney, 1984), we found that those lower in the hierarchy experience lower stress relative to those higher in the hierarchy.
More importantly, we also show the relevance of potential buffers in managing physiological stress at different hierarchical levels. Sense of control and trait anxiety exacerbate stress at lower levels of the hierarchy. While sense of control is construed as a positive psychological resource in most job contexts, the results show that relative to those higher in the hierarchy, those lower in the hierarchy are less able to leverage it to lower stress. Despite greater structure in job tasks at lower levels of the hierarchy, trait anxiety could exacerbate physiological stress.
The findings have the following implications. First, in the past few years, researchers have called attention to the harmful effects that psychological stress can have on employees and, most recently, organizations (see Greenberg et al., 1999 for more on the costs associated with anxiety disorders). We find that individuals in top positions exhibit lower stress, which adds a boundary condition to understanding the efficacy of a sense of control. Second, when considering the moderating role of the sense of control, our findings align with those of Sherman et al. (2012), who also found that a sense of control is a stress buffer. Third, findings on the exacerbating effect of trait anxiety also show that managers should match the appropriate individuals for the jobs/tasks for which they are able to perform well and develop coping or adaptation mechanisms to handle stress. Understanding the costs that stress can cause to organizations in terms of low productivity, medical or insurance expenses, absenteeism or performance can help the organization implement strategies to deal with stress health issues. For example, awareness programs that impose breaks to stretch or have some fresh air, or recognizing alert signs from the employees will contribute to the employees’ overall well-being as well as the organizations’ performance.
Our study is not without some limitations. First, some of the measures are based on self-reports that could potentially lead to inflated estimates among variables due to the common method of variance. However, the observation of the correlations in Table 1 shows that the correlations among the self-reported variables are at most .36, suggesting that it is unlikely that inflated views pose a major concern. Second, the results of our study may not be generalized to non-Portuguese contexts. Third, our study did not investigate the potential role of endocrine adaptation, which shows that individuals who are exposed to constant stressors may develop endocrine adaptation (e.g., Hek et al., 2013) and thus produce lower levels of cortisol. Third, we are unable to observe micro-dynamics of stress, sense of control and behaviors exhibited through the trait anxiety. Future studies, based on qualitative analysis, could further test for the complex unfolding of these dynamics. Future research could look at the role of mechanisms that individuals may adopt to cope with different stressors, how organizations can implement practices that can promote employees’ well-being and whether characteristics such as sex or the size of an organization can impact the hierarchy and stress association.
Future research directions.
Future studies can focus on the link between reported stress and biological stress, contingent on hierarchical levels. Socio-psychological factors could influence reported and experienced stress, which could provide richer insights into the influence of hierarchy, the biological basis of stress, and the employee reports of such stress. Exploring this association is especially salient as research on the link between psychological and biological measures of stress has shown no association between the measures (e.g., McLeod, Hoehn-Saric, & Stefan, 1986; Sherman et al., 2012). Although both represent stress responses, psychological stress (anxiety) has mainly been associated with elevated activity of the sympathetic nervous system and epinephrine secretion, whereas biological stress bas been associated with the HPA axis and elevated secretion of cortisol (e.g., Chorpita & Barlow, 1998). Kurina, Schneider, & Waite (2004) explored the variability of diurnal cortisol patterns with the psychological symptomology and stress among healthy adults and reported no relationship between them.
While we have an indicator of gender in the data, complex micro-dynamics undergird gender-specific variations in managing and coping with stress. In the context of leadership, the evidence suggests that women and men differ in reacting to stress (see, e.g., Book, 2000; Fisher, 2005). The evidence suggests that women under stress react beyond the classic response of “fight or flight” by protecting themselves and their young, exhibiting nurturing behaviors (Taylor, 2002). Variations in personality traits, values, motivation, thinking, feeling styles, and biology lead to varying leadership behaviors between males and females (Berenbaum, Blakemore, & Beltz, 2011). Because women and men differ in terms of leadership positions and stress responses, future research can investigate the micro-dynamics of variations in the stress response between males and females at different levels of hierarchy.
As a third direction for future research, socioeconomic status could act as a buffer
against stress. Although we controlled for self-reported measures of socioeconomic status, future research can draw on objective data to assess the role of this potential buffer. The seminal work of Marmot (2004) demonstrates that one’s position in the hierarchy is closely related to health and life chances. It is plausible that the leadership position and stress may be moderated by socioeconomic status (e.g., Sapolsky, 1982; Kaplan & Manuck, 1999).
Finally, organizational complexity could be an additional factor. While firm size could be a proxy for organizational complexity, the reporting structure, span of control, and other factors could also influence the efficacy of the hierarchy. As such, while studies on non-human species have a simpler structure, organizational complexity could further add significantly to the role of hierarchy in explaining stress.
Aburdene, P. (1977). Beyond Executive Stress: Board Responsibility for CEO Mental Health. Directors and Boards,Summer, 27-40.
Adler, N. E., Epel, E. S., Castellazzo, G., and Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy white women. Health Psychology, 19 (6), 586-592.
Ahn, R. S., Lee, Y. J., Choi, J. Y., Kwon, H. B., and Chun, S. I. (2007). Salivary cortisol and DHEA levels in the Korean population: Age-related differences, diurnal rhythm, and correlations with serum levels. Yonsei Medical Journal, 48 (3), 379-388.
Almeida, D. M., & Kessler, R. C. (1998). Everyday stressors and gender differences in daily distress. Journal of Personality and Social Psychology, 75(3), 670.
Anderson, C., John, O. P., and Keltner, D. (2012). The personal sense of power. Journal of Personality, 80 (2), 313-344.
Anderson, J. C., and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103 (3), 411-423.
Antonakis, J. (2011). Predictors of leadership: The usual suspects and the suspect traits. Sage Handbook of Leadership, 269-285.
Antonakis, J., Day, D. V., and Schyns, B. (2012). Leadership and individual differences: At the cusp of a renaissance. The Leadership Quarterly, 23 (4), 643-650.
Bagozzi, R. P., and Baumgartner, H. (1994). Principles of Marketing Research. Cambridge, MA: Blackwell Publishers.
Bagozzi, R. P., and Yi, Y. (2012). Specification, evaluation and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40 (1), 8–34.
Bartol, K. M., Martin, D. C., & Kromkowski, J. A. (2003). Leadership and the glass ceiling: Gender and ethnic group influences on leader behaviors at middle and executive managerial levels. Journal of Leadership and Organizational Studies, 9(3), 8-19.
Batt, R., & Valcour, P. M. (2003). Human resources practices as predictors of work‐family outcomes and employee turnover. Industrial Relations: A Journal of Economy and Society, 42(2), 189-220.
Baumgartner, H., and Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13 (2), 139-161.
Beehr, T. A. (2014). Psychological stress in the workplace (psychology revivals). Routledge.
Berenbaum, S. A., Blakemore, J. E. O., and Beltz, A. M. (2011). A role for biology in gender-related behavior. Sex Roles, 64 (11-12), 804-825.
Bernton, E., Hoover, D., Galloway, R., and Popp, K. (1995). Adaptation to chronic stress in military trainees. Annals of the New York Academy of Sciences, 774 (1), 217-231.
Biron, C., & Karanika-Murray, M. (2014). Process evaluation for organizational stress and well-being interventions: Implications for theory, method, and practice. International Journal of Stress Management, 21(1), 85-111.
Bolino, M., Valcea, S., & Harvey, J. (2010). Employee, manage thyself: The potentially negative implications of expecting employees to behave proactively. Journal of Occupational and Organizational Psychology, 83(2), 325-345.
Book, E. W. (2000). Why the best man for the job is a woman: The unique female qualities of leadership. New York: Harper Business.
Bradley, G. (2007). Job tenure as a moderator of stressor–strain relations: A comparison of experienced and new-start teachers. Work & Stress, 21(1), 48-64.
Cahoon, A. R., and Rowney, J. I. (1984). Managerial burnout: A comparison by sex and level of responsibility. Journal of Health and Human Resources Administration, 7 (2), 249-263.
Campbell, M., Baltes, J. I., Martin, A., and Meddings, K. (2007). The stress of leadership. Center for Creative Leadership, CCL.
Carpenter, M. A., & Golden, B. R. (1997). Perceived managerial discretion: A study of cause and effect. Strategic Management Journal, 187-206.
Carson, D., Cromie, S., McGowan, P., & Hill, J. (1995). Marketing and entrepreneurship in SMEs: an innovative approach. Hemel Hempstead:Pearson Education.
Chorpita, B. F., and Barlow, D. H. (1998). The development of anxiety: The role of control in the early environment. Psychological Bulletin, 124 (1), 3-21.
Chuang, Y. (2006). Occupational and employee stress in small businesses.Online: http://www. jimsjournal. org/4. pdf.
Cisler, J. M., & Koster, E. H. (2010). Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review. Clinical psychology review, 30(2), 203-216.
Cohen, S., and Janicki-Deverts, D. (2012). Who’s stressed? Distributions of psychological stress in the United States in probability samples from 1983, 2006, and 2009. Journal of Applied Social Psychology, 42 (6), 1320-1334.
Cohen, S., Janicki-Deverts, D., Doyle, W. J., Miller, G. E., Frank, E., Rabin, B. S., and Turner, R. B. (2012). Chronic stress, glucocorticoid receptor resistance, inflammation, and disease risk. Proceedings of the National Academy of Sciences, 109(16), 5995-5999.
Cohen, S., Schwartz, J. E., Epel, E., Kirschbaum, C., Sidney, S., and Seeman, T. (2006). Socioeconomic status, race, and diurnal cortisol decline in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Psychosomatic Medicine, 68 (1), 41-50.
Dickerson, S. S., and Kemeny, M. E. (2004). Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130 (3), 91-355.
Dorn, L. D., Lucke, J. F., Loucks, T. L., and Berga, S. L. (2007). Salivary cortisol reflects serum cortisol: Analysis of circadian profiles. Annals of Clinical Biochemistry, 44 (3), 281-284.
Eysenck, M. W. (1989). Individual differences in vigilance performance. In Vigilance and Performance in Automatized Systems/Vigilance et Performance de l’Homme dans les Systèmes Automatisés (pp. 31-40). Springer Netherlands.
Fehm, L., & Schmidt, K. (2006). Performance anxiety in gifted adolescent musicians. Journal of anxiety disorders, 20(1), 98-109
Fernandes, S., and McIntyre, T. (2002). Avaliação da eficácia de um programa de intervenção psicológica breve para mulheres com cancro da mama. Psicologia: Teoria, Investigação e Prática, 7 (2), 353-374.
Fisher, H. E. (2005). The natural leadership talents of women. In L. Coughlin, E. Wingard, and K. Hollihan (Eds.), Enlightened Power: How Women Are Transforming the Practice of Leadership (pp. 133-140). San Francisco, CA: Jossey Bass.
Fotinatos-Ventouratos, R., and Cooper, C. L. (1998). Social class differences and occupational stress. International Journal of Stress Management, 5(4), 211-222.
Freeman, J. H., & Kronenfeld, J. E. (1973). Problems of definitional dependency: the case of administrative intensity. Social Forces, 108-121.
Frese, M., & Zapf, D. (1994). Methodological issues in the study of work stress: Objective vs subjective measurement of work stress and the question of longitudinal studies.
Galinsky, A. D., Gruenfeld, D. H., and Magee, J. C. (2003). From power to action. Journal of Personality and Social Psychology, 85 (3), 453–466.
Gaudet, M. C., Tremblay, M., & Doucet, O. (2014). Exploring the black box of the contingent reward leadership–performance relationship: The role of perceived justice and emotional exhaustion. European Journal of Work and Organizational Psychology, 23(6), 897-914
Gelman, D., Corely, J., Gelman, E., Malamud, P., Foote, D., and Canteros, J. (1981). Just how the sexes differ. Newsweek, 97 (20), 72-83.
Gesquiere, L. R., Learn, N. H., Simao, M. C. M., Onyango, P. O., Alberts, S. C., and Altmann, J. (2011). Life at the top: Rank and stress in wild male baboons. Science, 333 (6040), 357-360.
Goodman, E., Adler, N. E., Kawachi, I., Frazier, A. L., Huang, B., and Colditz, G. A. (2001). Adolescents’ perceptions of social status: Development and evaluation of a new indicator. Pediatrics, 108 (2), 31-31.
Greenberg, P. E., Sisitsky, T., Kessler, R. C., Finkelstein, S. N., Berndt, E. R., Davidson, J. R. T., Ballenger, J. C., and Fyer, A. J. (1999). The economic burden of anxiety disorders in the 1990s. Journal of Clinical Psychiatry, 60 (7), 427-435.
Gröschl, M. (2008). Current status of salivary hormone analysis. Clinical Chemistry, 54(11), 1759-1769.
Gröschl, M., Rauh, M., and Dörr, H. G. (2003). Circadian rhythm of salivary cortisol, 17 α-hydroxyprogesterone, and progesterone in healthy children. Clinical Chemistry, 49 (10), 1688-1691.
Guedes, M. J., Gonçalves, H. M., & da Conceição Gonçalves, V. (2016) Stress at the top: myth or fact? Causal explanations from a fuzzy-set qualitative comparative analysis (fsQCA). Quality & Quantity, 1-17 (forthcoming)
Hage, J., & Aiken, M. (1969). Routine technology, social structure, and organization goals. Administrative science quarterly, 366-376.
Halevy, N., Y. Chou, E., & D. Galinsky, A. (2011). A functional model of hierarchy: Why, how, and when vertical differentiation enhances group performance. Organizational Psychology Review, 1(1), 32-52.
Hambrick, D. C., Finkelstein, S., and Mooney, A. C. (2005). Executive job demands: New insights for explaining strategic decisions and leader behaviors Academy of Management Review, 30(3), 472-491.
Harris, J. H., and Berger, P. K. (1987). Prior task experience and psychological stress: An investigation. Human Stress: Current Selected Research, 2, 45-53.
Hellhammer, D. H., Wüst, S., and Kudielka, B. M. (2009). Salivary cortisol as a biomarker in stress research. Psychoneuroendocrinology, 34 (2), 163-171.
Hek, K., Direk, N., Newson, R. S., Hofman, A., Hoogendijk, W. J., Mulder, C. L., and Tiemeier, H. (2013). Anxiety disorders and salivary cortisol levels in older adults: a population-based study. Psychoneuroendocrinology, 38(2), 300-305.
Hjortskov, N., Garde, A. H., Ørbæk, P., and Hansen, A. M. (2004). Evaluation of salivary cortisol as a biomarker of self‐reported mental stress in field studies. Stress and Health, 20 (2), 91-98.
Hobfoll, S. E. (1988). The ecology of stress. Taylor & Francis.
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American psychologist, 44(3), 513.
Hobfoll, Stevan E.; Shirom, Arie. (2001). Conservation of resources theory: Applications to stress and management in the workplace. Golembiewski, Robert T. (Ed). (2001). Handbook of organizational behavior, 2nd ed., (pp. 57-80). New York, NY, US: Marcel Dekker
Hu, L. T., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6 (1), 1-55.
Inder, W. J., Dimeski, G., and Russell, A. (2012). Measurement of salivary cortisol in 2012–laboratory techniques and clinical indications. Clinical Endocrinology, 77 (5), 645-651.
Kahn, M. (2014). Mastering the CEO’s Greatest Challenge: Strategies for Staying Cool in The Executive Hot Seat”, Bloomington, IL: iUniverse.
Kaplan, J., and Manuck, S. (1999). Status, stress, and atherosclerosis. Annals of the New York Academy of Sciences, 896, 145–161.
Karasek, R. (1998). Demand/control model: A social, emotional, and physiological approach to stress risk and active behaviour development. Encyclopedia of occupational health and safety, 2, 34-6.
Kessler, R. C., & McLeod, J. D. (1984). Sex differences in vulnerability to undesirable life events. American Sociological Review, 620-631.
Keeton, C. P., Perry-Jenkins, M., and Sayer, A. G. (2008). Sense of control predicts depressive and anxious symptoms across the transition to parenthood. Journal of Family Psychology, 22 (2), 212-221.
Kirschbaum, C., and Hellhammer, D. H. (2008). Salivary cortisol in psychobiological research: An overview. Neuropsychobiology, 22(3) , 150-169.
Kirschbaum, C., Platte, P., Pirke, K. M., and Hellhammer, D. (1996). Adrenocortical activation following stressful exercise: Further evidence for attenuated free cortisol responses in women using oral contraceptives. Stress Medicine, 12 (3), 137–143.
Kompier, M. A., Cooper, C. L., & Geurts, S. A. (2000). A multiple case study approach to work stress prevention in Europe. European Journal of Work and Organizational Psychology, 9(3), 371-400.
Kraus, M. W., Piff, P. K., and Keltner, D. (2009). Social class, sense of control, and social explanation. Journal of Personality and Social Psychology, 97 (6), 992-1004.
Kurina, L. M., Schneider, B., and Waite, L. J. (2004). Stress, symptoms of depression and anxiety, and cortisol patterns in working parents. Stress and Health, 20 (2), 53-63.
Lachman, M. E., and Weaver, S. L. (1998). The sense of control as a moderator of social class differences in health and well-being. Journal of Personality and Social Psychology, 74 (3), 763–773.
Landy, F., Quick, J. C., and Kasl, S. (1994). Work, stress, and well-being. International Journal of Stress Management, 1(1), 33-73.
Lazarus, R. S. (1966). Psychological stress and the coping process. New York: McGraw-Hill.
Lazarus, R. S. (1990). Theory-based stress measurement. Psychological inquiry, 1(1), 3-13.
Levinson, H. (1980). When executives burn out. Harvard Business Review, 59 (3), 73-81.
Limm, H., Angerer, P., Heinmueller, M., Marten-Mittag, B., Nater, U. M., and Guendel, H. (2010). Self-perceived stress reactivity is an indicator of psychosocial impairment at the workplace. BMC Public Health, 10, 1-10.
Lovelace, K. J., Manz, C. C., and Alves, J. C. (2007). Work stress and leadership development: The role of self-leadership, shared leadership, physical fitness and flow in managing demands and increasing job control. Human Resource Management Review, 17 (4), 374-387.
March, J. G., and Weiner, S. S. (2003). Leadership blues. New Directions for Community Colleges, 123, 5-14.
Marmot, M. (2004). The Status Syndrome: How Social Standing Affects Our Health and Longevity. London: Bloomsbury
McCleary, R., & Zucker, E. L. (1991). Higher trait-and state-anxiety in female law students than male law students. Psychological Reports, 68(3c), 1075-1078.
McIntyre, S., McIntyre, T., and Silvério, J. (2000). Work stress and job satisfaction in Portuguese health professionals. In T. Cox, P. Dewe, K. Nielsen, and R. Cox (Eds.), European Academy of Occupational Health Psychology Conference Proceedings Series: Occupational Health Psychology Europe (pp. 105-111). Nottingham: I-WHO Publications.
McIntyre, T., and McIntyre, S. (1995). Questionário de Auto-avaliação – STAI Y1 e Y2. (Spielberger, Gorush, Lushene, Vagg and Jacobs, 1983). Validação em populações de pacientes com dor crónica, cancro da mama, doenças de pele, e consulta externa psicológica.
McLeod, D. R., Hoehn-Saric, R., and Stefan, R. L. (1986). Somatic symptoms of anxiety: Comparison of self-report and physiological measures. Biological Psychiatry, 21 (3), 301-310.
Mehta, P. H., and Josephs, R. A. (2010). Testosterone and cortisol jointly regulate dominance: Evidence for a dual-hormone hypothesis. Hormones and Behavior, 58 (5), 898-906.
Miller, S. M., & Kirsch, N. (1987). Sex differences in cognitive coping with stress. In R. C. Barnett, L. Biener, & G. K. Baruch (Eds.), Gender & Stress, 278–307. New York: The Free Press.
Mirowsky, J., and Ross, C. E. (1991). Eliminating defense and agreement bias from measures of the sense of control: A 2 x 2 index. Social Psychology Quarterly, 54 (2), 127-145.
Mogg, K., Mathews, A., Bird, C., & Macgregor-Morris, R. (1990). Effects of stress and anxiety on the processing of threat stimuli. Journal of personality and social psychology, 59(6), 1230-1237.
Mughal, S., Walsh, J., & Wilding, J. (1996). Stress and work performance: The role of trait anxiety. Personality and Individual differences, 20(6), 685-691.
Muschalla, B., Linden, M., & Olbrich, D. (2010). The relationship between job-anxiety and trait-anxiety—A differential diagnostic investigation with the Job-Anxiety-Scale and the State-Trait-Anxiety-Inventory. Journal of anxiety disorders, 24(3), 366-371.
Osterman, P. (1994). Supervision, discretion, and work organization. The American Economic Review, 84(2), 380-384.
Papacosta, E., and Nassis, G. P. (2011). Saliva as a tool for monitoring steroid, peptide and immune markers in sport and exercise science. Journal of Science and Medicine in Sport, 14 (5), 424-434.
Parker, S. K. (1998). Enhancing role breadth self-efficacy: the roles of job enrichment and other organizational interventions. Journal of applied psychology, 83(6), 835-852.
Pfeffer, J. (2009). Renaissance and renewal in management studies: Relevance regained. European Management Review, 6(3), 141-148.
Ping, J., Robert, A. (2004). On assuring valid measures for theoretical models using survey data. Journal of Business Research, 57 (2), 125-141.
Sapolsky, R. M. (1982). The endocrine stress-response and social status in the wild baboon. Hormones and Behavior, 15, 279–292.
Sapolsky, R. M. (2005). The influence of social hierarchy on primate health. Science, 308 (5722), 648-652.
Sapolsky, R. M. (2012). Importance of a sense of control and the physiological benefits of leadership. Proceedings of the National Academy of Sciences, 109 (44), 17730-17731.
Schumpeter, J. A. (1934). The Theory of Economic Development. Cambridge, MA: Harvard University Press.
Schaubroeck, J., & Merritt, D. E. (1997). Divergent effects of job control on coping with work stressors: The key role of self-efficacy. Academy of Management Journal, 40(3), 738-754.
Shabani, S., Dehghani, M., Hedayati, M., and Rezaei, O. (2011). Relationship of serum serotonin and salivary cortisol with sensation seeking. International Journal of Psychophysiology, 81 (3), 225-229.
Shapiro Jr, D. H., Schwartz, C. E., and Astin, J. A. (1996). Controlling ourselves, controlling our world: Psychology’s role in understanding positive and negative consequences of seeking and gaining control. American Psychologist, 51 (12), 1213-1230.
Sherman, G. D., Lee, J. J., Cuddy, A. J., Renshon, J., Oveis, C., Gross, J. J., and Lerner, J. S. (2012). Leadership is associated with lower levels of stress. Proceedings of the National Academy of Sciences, 109 (44), 17903-17907.
Shrout, P. E., and Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7 (4), 422-445.
Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory STAI (form Y)(“self-evaluation questionnaire”). Palo Alto, CA: Consulting Psychologists Press.
Spielberger, C. D., Anton, W. D., & Bedell, J. (2015). The nature and treatment of test anxiety. Emotions and anxiety: New concepts, methods, and applications, 317-344.
Steenkamp, J. B. E. and Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25 (1), 78-90.
Steptoe, A., Wardle, J., Lipsey, Z., Mills, R., Oliver, G., Jarvis, M., and Kirschbaum, C. (1998). A longitudinal study of work load and variations in psychological well-being, cortisol, smoking, and alcohol consumption. Annals of Behavioral Medicine, 20, 84-91.
Taylor, S. (2002). The Tending Instinct: Women, Men and the Biology of Nurturing. New York: Times Books.
Vie, T. L., Glasø, L., & Einarsen, S. (2010). Does trait anger, trait anxiety or organisational position moderate the relationship between exposure to negative acts and self-labelling as a victim of workplace bullying?. Nordic Psychology, 62(3), 67.
Vining, R. F., McGinley, R. A., Maksvytis, J. J., Ho, K. Y. (1983). Salivary cortisol: A better measure of adrenal cortical function than serum cortisol. Ann Clin Biochem, 20 (Pt 6), 329-335.
Wall, T. D., Cordery, J. L., & Clegg, C. W. (2002). Empowerment, performance, and operational uncertainty: A theoretical integration. Applied Psychology, 51(1), 146-169.
Weiss, Howard M.; Cropanzano, Russell . (1996). Affective Events Theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. Research in Organizational Behavior, 18, 1-74.
Weiss, H. M., & Beal, D. J. (2005). Reflections on affective events theory. In The effect of affect in organizational settings (pp. 1-21). Emerald Group Publishing Limited.
Descriptive Statistics, Reliabilities, and Correlations
|5||No management position||.42||.49||-.06||-.32***||-.38***||-.55***||1|
|6||Sense of control||43.72||5.74||-.02||.29***||.16**||.03||-.34***||.87|
Notes. N= 202; *** p < .01; ** p < .05; *** p < .1. The values in the diagonal are Cronbach’s alpha for the scale-based measures.
Mean (and standard deviation) differences in cortisol, sense of control and anxiety according to leadership position
|Variable||n||Cortisol||Sense of control||Anxiety|
|M (SD)||F||M (SD)||F||M (SD)||F|
|Top management||25||34.88 (9.33)||48.08 (4.86)||34.88 (9.33)|
|First-line management||33||35.91 (8.34)||45.79 (5.47)||35.91 (8.34)|
|Intermediate management||59||36.66 (7.58)||43.97 (5.78)||36.66 (7.58)|
|Non-leader||85||37.92 (8.34)||41.47 (5.01)||37.92 (8.34)|
Notes: N= 202; *** p < .01; ** p < .05; *** p < .1
Multi-level mixed-effects regression analysis for variables predicting (log) Cortisol (N =202)
|H1: Hierarchy and controls||H2: Sense of Control Interaction||H3: Anxiety Interaction||Full Model|
|Leadership position (reference=top managers)|
|No management position||-.07***||-.65***||-.31**||-1.41***|
|Sense of control||-.003**||-.02***||-.003***||-.02***|
|First-line managers X Sense of control||.01||.02|
|Intermediate managers X Sense of control||.02***||.03***|
|Non-leaders X Sense of control||.01***||.02***|
|First-line managers X Anxiety||.01***||.01***|
|Intermediate managers X Anxiety||.004||.01|
|Non-leaders X Anxiety||.01*||.01***|
|Gender (reference= women)||-.09***||-.09***||-.10***||-.10***|
|Marital status (reference=not married||.02||.01||0.01||.01|
|Education (reference= less than high/secondary school)||-.02*||-.02||-.02||-.02*|
|Income (reference= gross annual income of less than 29,999 Euros)||.01*||.02***||.01***||.02***|
|Public vs. Private sector nesting groups||2||2||2||2|
|Industry digit nesting groups||21||21||21||21|
Notes. Robust z-statistics in parentheses; *** p < .01; ** p < .05; * p < .10.