Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-18T10:34:27.101Z Has data issue: false hasContentIssue false

The link between fear about COVID-19 and insomnia: mediated by economic concerns and psychological distress, moderated by mindfulness

Published online by Cambridge University Press:  28 January 2021

Dirk De Clercq*
Affiliation:
Goodman School of Business, Brock University, St. Catharines, Ontario L2S 3A1, Canada
Inam Ul Haq
Affiliation:
School of Business, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
Muhammad Umer Azeem
Affiliation:
School of Business and Economics, University of Management and Technology, Lahore, Pakistan
Samia Khalid
Affiliation:
Riphah Institute of Clinical and Professional Psychology, Riphah International University, Lahore, Pakistan
*
*Corresponding author: E-mail: ddeclercq@brocku.ca
Rights & Permissions [Opens in a new window]

Abstract

This paper adds to extant research by examining the relationship between employees’ fear of coronavirus disease 2019 and their suffering from insomnia. It specifically proposes mediating roles of employees' economic concerns and psychological distress and a moderating role of mindfulness in this process. The research hypotheses are tested with survey data collected through two studies among Pakistani-based professionals: 316 in study 1 and 421 in study 2. The results pinpoint a salient risk for employees who experience fear during a pandemic crisis, in that the associated economic and psychological hardships make the situation worse by undermining their sleep quality, which eventually could diminish the quality of their lives even further. It also reveals how organizations can mitigate this risk if employees can leverage pertinent personal resources, such as mindfulness.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2021

Introduction

Enjoying a good night's sleep, without encountering difficulty falling asleep or waking up during the night, may seem like a personal issue, but it also represents a critical concern for organizations (Barnes, Miller, & Bostock, Reference Barnes, Miller and Bostock2017; Grunberg, Moore, & Greenberg, Reference Grunberg, Moore and Greenberg2006; Pieters & Matheus, Reference Pieters and Matheus2020). An exhausted labor force, suffering persistent sleep deprivation, creates a range of organizational risks, including unsafe practices but also a lack of energy available to devote to effective leadership or job tasks, which can compromise a firm's competitive positioning and strengths (Kucharczyk, Morgan, & Hall, Reference Kucharczyk, Morgan and Hall2012; Scott & Judge, Reference Scott and Judge2006). Exhausted workers also might be more prone to negative work- and non-work-related attitudes, behaviors, and states (e.g., Barnes, Reference Barnes2012; Barnes, Miller, & Bostock, Reference Barnes, Miller and Bostock2017; Crain, Brossoit, & Fisher, Reference Crain, Brossoit and Fisher2018; Schneider, Fulda, & Schulz, Reference Schneider, Fulda and Schulz2004). Restless nights and the resulting fatigue are especially prevalent when organizations and their work forces confront significant pressures, within or outside the workplace (Haar & Roche, Reference Haar and Roche2013; Toker, Laurence, & Fried, Reference Toker, Laurence and Fried2015). Organization scholars and practitioners thus need insights into why some employees might be more likely than others to suffer from insomnia, as well as suggestions for tactics to limit the detrimental effects (Crain, Brossoit, & Fisher, Reference Crain, Brossoit and Fisher2018; Garcia, Bordia, Restubog, & Caines, Reference Garcia, Bordia, Restubog and Caines2018; Ng & Feldman, Reference Ng and Feldman2013; Ragins, Ehrhardt, Lyness, Murphy, & Capman, Reference Ragins, Ehrhardt, Lyness, Murphy and Capman2017).

Extant research into the determinants of sleep deprivation often cites individual factors such as age (Coombe, Epps, Lee, Chen, Imes, & Chasens, Reference Coombe, Epps, Lee, Chen, Imes and Chasens2019), work involvement (Haar & Roche, Reference Haar and Roche2013), and time spent at work or with family (Barnes, Wagner, & Ghumman, Reference Barnes, Wagner and Ghumman2012), as well as organizational factors such as contract breaches (Garcia et al., Reference Garcia, Bordia, Restubog and Caines2018) or organizational changes (Rafferty & Jimmieson, Reference Rafferty and Jimmieson2017). Another pertinent non-work-related source of insomnia, with great relevance today, may be employees' fears about life-threatening viruses (Ahorsu, Lin, Imani, Saffari, Griffiths, & Pakpour, Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020). Prior research indicates that employees' fear of terrorism can spill over into diminished sleep quality (Toker, Laurence, & Fried, Reference Toker, Laurence and Fried2015); we consider whether their fear of coronavirus disease 2019 (COVID-19) similarly might increase the chances that employees suffer from insomnia, and we seek to identify pertinent factors that might explain or influence this link. In turn, we provide organizations with pertinent insights into why and when pandemic-related fears are associated with sleep problems, as well as how they can help employees deal with this challenge.

First, we propose that a critical factor that connects employees' fear of COVID-19 with their risk of insomnia is that this fear may impose significant strain on their personal lives, in both economic and psychological terms. Two theories underlie this argument: conservation of resources (COR) theory and terror management theory (Greenberg & Kosloff, Reference Greenberg and Kosloff2008). According to COR theory, employees' material and mental well-being are pertinent resources that they value and seek to protect in the presence of adverse situations (Hobfoll, Reference Hobfoll2001). Terror management theory instead predicts that life-threatening events spur people's mortality salience, or the realization that death is an unavoidable part of life (Burke, Martens, & Faucher, Reference Burke, Martens and Faucher2010). The prospect of dying one day then serves as an important source of fear that informs how people experience their daily lives (Burke, Martens, & Faucher, Reference Burke, Martens and Faucher2010; Kosloff, Greenberg, Sullivan, & Weise, Reference Kosloff, Greenberg, Sullivan and Weise2010). In line with both theories, we propose that employees' fear about COVID-19 relates positively to their insomnia, through experienced economic and psychological hardships. As prior studies show, employees' job-related strain is a mechanism that connects their exposure to external threats (e.g., terrorism) with detrimental performance outcomes (De Clercq, Haq, & Azeem, Reference De Clercq, Haq and Azeem2017). We add to this conversation by investigating the mediating role of the strain that employees experience in their personal realms, in response to a different external threat, namely, the COVID-19 pandemic. This strain may emerge in the form of economic worries (Hayes, VanBrackle, & Sigman-Grant, Reference Hayes, VanBrackle and Sigman-Grant2016) or psychological distress (Slade, Grove, & Burgess, Reference Slade, Grove and Burgess2011).

Second, we propose that employees' attention–awareness mindfulness is a personal resource that might serve as a buffer against the depletion of their resource reservoirs in response to their fear of COVID-19 (Hülsheger, Alberts, Feinholdt, & Lang, Reference Hülsheger, Alberts, Feinholdt and Lang2013; Roche & Haar, Reference Roche and Haar2013), which then may help them maintain their sleep quality. Mindfulness is a broad concept that entails various sub-dimensions – such as acting with awareness, describing, observing, non-judging of inner experience, or non-reactivity to inner experience (Baer, Smith, Hopkins, Krietemeyer, & Toney, Reference Baer, Smith, Hopkins, Krietemeyer and Toney2006) – but we focus on attention–awareness mindfulness specifically. This conceptualization captures employees' ‘enhanced attention to and awareness of [their] current experience or present reality’ (Brown & Ryan, Reference Brown and Ryan2003: 822), such that ‘awareness involves experiencing and perceiving reality, [and] attention guides awareness to specific elements of the experienced reality’ (Leroy, Anseel, Dimitrova, & Sels, Reference Leroy, Anseel, Dimitrova and Sels2013: 238). We adopt this conceptualization in light of the argument that the attention–awareness component of mindfulness – which we label as mindfulness herein, for parsimony – offers valuable and significant protection against difficult situations (Martin, Blair, Clark, Rock, & Hunter, Reference Martin, Blair, Clark, Rock and Hunter2018; Weintraub, Pattusamy, & Dust, Reference Weintraub, Pattusamy and Dust2019). Our argument for the buffering role of mindfulness also is consistent with COR theory, which predicts that the extent to which employees suffer from resource-draining situations is contingent on their access to this specific personal resource (Montani, Ilaria, Valentina, Courcy, & Gabriele, Reference Montani, Ilaria, Valentina, Courcy and Gabriele2020; Qian, Yuan, Lim, Niu, & Liu, Reference Qian, Yuan, Lim, Niu and Liu2020).

Contributions

In testing these predictions, we seek to make several contributions to extant research. First, we theorize and empirically show that employees' fear of COVID-19 associates positively with their insomnia, as explained by their economic and psychological hardships. Fears about the coronavirus may prevent employees from getting a healthy amount of sleep, due to the worries about their economic situation (Hilton & Devall, Reference Hilton and Devall1997) or psychological distress (Lin, Ma, Wang, & Wang, Reference Lin, Ma, Wang and Wang2015) that it prompts. With this perspective, we point to the risk of a possible downward spiral for employees: The hardships that arise from their fear of COVID-19 may drain their personal resource bases so much that they lose sleep, which could leave them even more sensitive to the threats of the pandemic.

Second, we address calls to apply contingency approaches to organizational studies of the negative consequences of life-threatening situations (De Clercq, Haq, & Azeem, Reference De Clercq, Haq and Azeem2017; Raja, Azeem, Haq, & Naseer, Reference Raja, Azeem, Haq and Naseer2020; Toker, Laurence, & Fried, Reference Toker, Laurence and Fried2015), by focusing on the pertinent role of attention–awareness mindfulness. Mindfulness serves a protective function in mitigating the work-related challenges that come with quantitative and emotional job demands (Haun, Nübold, & Bauer, Reference Haun, Nübold and Bauer2018) or polychronicity (Weintraub, Pattusamy, & Dust, Reference Weintraub, Pattusamy and Dust2019). We propose that it also might protect employees who are fearful about COVID-19 from experiencing excessive economic and psychological hardships and thus sleep deprivation. This novel insight implies that the likelihood of persistent sleep deprivation, associated with fears about a global virus, might be contained by this personal feature. By examining this influence, we show that the discretionary energy employees derive from their mindfulness (Shao & Skarlicki, Reference Shao and Skarlicki2009) may be leveraged to help them cope with COVID-19 and thus contain the aforementioned downward spiral.

Third, research on the impact of COVID-19 on employees is just beginning, highlighting the need for careful assessments of how employees actually are suffering due to the pandemic. We thus test out two measures of fear of COVID-19, namely, an adapted version of an established fear of terror scale that has been used in previous organizational research (Haq, De Clercq, & Azeem, Reference Haq, De Clercq and Azeem2019), and another scale introduced recently in non-business research into mental health (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020). The first scale, as originally applied in the context of terrorism, gauges people's ‘frequent ruminations about future terrorist attacks, the sense that nothing can be done to avoid such attacks, the belief that terrorism will only get worse as time passes, or a feeling of a general lack of control in protecting oneself and loved ones from violence’ (Haq, De Clercq, & Azeem, Reference Haq, De Clercq and Azeem2019: 469). We adjust it to the pandemic context to gauge employees' fear of COVID-19. The second scale offers ‘a brief and valid instrument to capture an individual's fear of COVID-19,’ which ‘is directly associated with [the] transmission rate and medium (rapidly and invisibly) as well as its morbidity and mortality’ (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020: 2).

In the proposed conceptual model in Figure 1, we predict that employees' fear of COVID-19 relates positively to their economic concerns and psychological distress, which link to their suffering from insomnia. Their mindfulness buffers this process. The constitutive hypotheses – mediation by economic and psychological hardships and moderation by mindfulness – are tested in a two-study design. Study 1 investigates the mediating role of economic concerns in the relationship between fear of COVID-19 and insomnia, using the aforementioned, adapted fear of terror scale (Haq, De Clercq, & Azeem, Reference Haq, De Clercq and Azeem2019). Study 2 addresses the mediating role of psychological distress and the moderating role of mindfulness in this process, based on the scale developed for the specific case of COVID-19 (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020). In line with suggestions in other research into life-threatening events (Raja et al., Reference Raja, Azeem, Haq and Naseer2020), this two-study design helps diminish response fatigue, and it provides an effective empirical test of the link between fear of COVID-19 and insomnia in two different samples. It also enables us to check whether the link is robust to the application of two different measures of fear of COVID-19.

Figure 1. Conceptual model.

Study 1

Hypotheses

A global, life-threatening virus such as COVID-19 likely has widespread economic consequences too, such as when employees suffer salary cuts or lose their jobs (Cheng, Cui, & Li, Reference Cheng, Cui and Li2020; Wu, Reference Wu2020). We accordingly predict that a critical factor that links employees' fear of COVID-19 with diminished sleep quality is that they worry about their economic situation. For example, an inability to keep COVID-19 out of their thoughts might make it difficult to fall asleep at night, because they doubt their abilities to provide for the basic, medical, or educational needs of themselves and their loved ones (Hayes, VanBrackle, & Sigman-Grant, Reference Hayes, VanBrackle and Sigman-Grant2016). This argument is consistent with a COR logic, which acknowledges that people's material needs are critical resources that inform their quality of life (Hobfoll, Reference Hobfoll2001). Their fears about the implications of COVID-19, whether actual or exaggerated, may be so upsetting for employees that they lose confidence in their ability to provide for their family or make financial ends meet, fears that keep them awake at night (Greenberg, Reference Greenberg2006). Conversely, when employees feel less threatened by COVID-19, it is less likely that they worry excessively about their economic situation, which then has positive consequences for their sleep quality.

Hypothesis 1: Employees' economic concerns mediate the relationship between their fear of COVID-19 and their suffering from insomnia.

Data collection

This hypothesis was tested with an online survey administered among Pakistani-based employees. The names of the employees came from a database maintained by the university of one of the authors. This database includes the contact information of employees who work for organizations that span broad sectors of the Pakistani economy. The survey was administered in April 2020 – a period that marks a high point of the COVID-19 pandemic, such that many people were limited in their physical movements and work options. The survey was administered in English, which is the formal language of business communication in Pakistan. An opening statement promised the participants complete confidentiality, clarified that no individual data would ever be released, and highlighted that the research focus was on identifying general patterns across aggregate data. This statement also specified that participants could withdraw from the study at any point in time, that there were no good or bad answers, and that the survey results would generate a better understanding of the challenges that employees encounter during the pandemic crisis. A total of 500 employees were randomly selected from the database; 316 completed surveys were returned. To ensure that the final sample included business professionals, the respondents confirmed at the start of the survey that they had been fully employed at the beginning of 2020. This sample included 71% women, 85% were 30 years or younger, 24% were married, 61% had a university degree, 35% were still earning income at the time of the data collection, and 80% worked in the private sector and 20% in the public sector.

Measures

The constructs were measured with five-point Likert anchors, ranging between 1 (‘strongly disagree’) and 5 (‘strongly agree’).

Fear of COVID-19

To assess the extent to which employees are fearful about COVID-19, we adapted a 13-item measure of fear of terror (De Clercq, Haq, & Azeem, Reference De Clercq, Haq and Azeem2020b; Haq, De Clercq, & Azeem, Reference Haq, De Clercq and Azeem2019) to the context of the coronavirus. The items were preceded with a statement that asked participants to reflect on how they have been feeling about the pandemic since its outbreak. Three example items are ‘I frequently find myself preoccupied with thinking about COVID-19,’ ‘I worry that COVID-19 will only get worse as time passes,’ and ‘I think that I am completely helpless in protecting myself from COVID-19 in the future’ (Cronbach's α = .90).

Economic concerns

We assessed employees' worries about their economic situation with a 12-item scale of family economic strain (Hilton & Devall, Reference Hilton and Devall1997).Footnote 1 This measure reflects ‘the presence of economic worry and concern about family financial problems,’ such that ‘higher scores indicate greater perceived economic strain’ (Hilton & Devall, Reference Hilton and Devall1997: 174). The questions were preceded by a statement that prompted respondents to indicate how they have been feeling about their economic situation in the past month. Participants then indicated their agreement with statements such as, ‘I worry about financial matters,’ ‘It is or will be hard for me and my family to live on our present income,’ and ‘Financial problems interfere or will interfere with my relationships with other people’ (Cronbach's α = .94).

Insomnia

We captured the extent to which employees suffer from persistent sleep deprivation with a four-item scale of insomnia (Cole, Cai, Martin, Findling, Youngstrom, & Garber, Reference Cole, Cai, Martin, Findling, Youngstrom, Garber, Curry, Hyde, Essex, Compas, Goodyer, Rohde, Stark, Slattery and Forehand2011).Footnote 2 The prompt asked respondents to reflect on their sleep quality in the past few days. Two sample items are ‘It takes me a long time to fall asleep’ and ‘I wake up in the middle of the night’ (Cronbach's α = .70).

Control variables

The statistical models controlled for six variables: gender (1 = female), age (1 = 20 years or younger, 2 = 21–30 years, 3 = 31–45 years, 4 = more than 45 years), marital status (1 = married), education level (1 = university degree), whether the respondents were earning money at the time of data collection (1 = yes), and type of organization (1 = private, 0 = public).

Construct validity

A three-factor measurement model, estimated through confirmatory analysis, generated an acceptable fit: χ2(321) = 1,159.56, confirmatory fit index (CFI) = .83, incremental fit index (IFI) = .83, Tucker−Lewis index (TLI) = .82, root mean-squared error of approximation (RMSEA) = .09, and standardized root mean square residual (SRMR) = .08.Footnote 3 Each measurement item showed strongly significant factor loadings on its respective construct (p < .001; Gerbing & Anderson, Reference Gerbing and Anderson1988), which indicates convergent validity. Evidence for discriminant validity was confirmed in the significantly worse fit of the constrained models (in which the correlation between two constructs was set to equal 1), relative to the fit of their unconstrained counterparts (in which the correlation between the constructs was free to vary), for each of the three construct pairs (Δχ2(1) > 3.84, Anderson & Gerbing, Reference Anderson and Gerbing1988).

Results

Table 1 shows the correlations and descriptive statistics for the study variables. To assess the presence of mediation, we used the process macro (model 4, Hayes, Reference Hayes2013) to estimate the indirect relationship between fear of COVID-19 and insomnia through economic concerns, as well as to establish the corresponding confidence interval (CI). The findings in Table 2 indicate an effect size of .131 for this indirect relationship; the CI does not include 0 (.025, .228), in support of hypothesis 1. Fear of COVID-19 is positively related to economic concerns (β = .771, p < .001), which in turn associates positively with insomnia (β = .170, p < .01).

Table 1. Correlation table and descriptive statistics (study 1)

Note: N = 316.

*p < .05; **p < .01.

Table 2. Mediation results (study 1)

Note: n = 316; SE = standard error; LLCI = lower limit confidence interval; UCLI = upper limit confidence interval.

* p < .05; ** p < .01; *** p < .001.

Study 2

Hypotheses

We also hypothesize a mediating role of employees' psychological distress in the relationship between their fear of COVID-19 and insomnia. In contrast with economic concerns, this mediator reflects their experience of diminished mental health, which may manifest in a sense of nervousness, hopelessness, or depression (Bordia, Hobman, Jones, Gallois, & Callan, Reference Bordia, Hobman, Jones, Gallois and Callan2004; Van De Voorde & Beijer, Reference Van De Voorde and Beijer2015). According to terror management theory, fears about life-threatening events make people more aware of their own mortality, and this feeling undermines their psychological well-being (Burke, Martens, & Faucher, Reference Burke, Martens and Faucher2010; Greenberg & Kosloff, Reference Greenberg and Kosloff2008). Furthermore, COR theory notes that adverse life situations deplete the reservoir of positive energy resources that people have at their disposal to maintain their peace of mind (Toker, Laurence, & Fried, Reference Toker, Laurence and Fried2015). Employees who are fearful about COVID-19 and its consequences may become so psychologically distressed that they have a hard time to falling or staying asleep (Garcia et al., Reference Garcia, Bordia, Restubog and Caines2018). Self-defeating thoughts about a dark, looming future also may evoke doubts about their worth as a person, which may be associated with diminished psychological well-being and thus a higher likelihood of insomnia (Howie, Reference Howie2007; Ren, Gao, & Chen, Reference Ren, Gao and Chen2020). Conversely, employees who experience low levels of psychological distress, linked to limited fears of the pandemic, should feel more energized in their daily lives and enjoy better sleep quality at night.

Hypothesis 2: Employees' psychological distress mediates the relationship between their fear of COVID-19 and their suffering from insomnia.

Consistent with COR theory, employees' psychological suffering from resource-draining life situations depends on the severity of the experienced resource drainage, such that their suffering is mitigated to the extent that employees can draw from valuable personal resources (Hobfoll & Shirom, Reference Hobfoll, Shirom and Golembiewski2000). We specifically propose a mitigating role of attention–awareness mindfulness (Brown & Ryan, Reference Brown and Ryan2003). Extant research reveals that such mindfulness enables people to separate their ‘selves’ from adverse situations and reevaluate the situations in less harmful terms (Bishop et al., Reference Bishop, Lau, Shapiro, Carlson, Anderson, Carmody and Devins2014; Shapiro, Carlson, Astin, & Freedman, Reference Shapiro, Carlson, Astin and Freedman2006). In particular, when they are equipped with attention–awareness mindfulness, people can avoid automatic negative reactions to challenging circumstances and instead experience these circumstances as less upsetting for their personal well-being (Garland, Farb, Goldin, & Fredrickson, Reference Garland, Farb, Goldin and Fredrickson2015; Haun, Nübold, & Bauer, Reference Haun, Nübold and Bauer2018). They similarly have a lower inclination to see themselves as helpless victims of experienced calamities, so they suffer less from such hardships (Glomb, Duffy, Bono, & Yang, Reference Glomb, Duffy, Bono and Yang2011). In the terminology of COR theory or terror management theory, such processes make it less likely that employees experience a depletion of their individual resource reservoirs (Hobfoll, Halbesleben, Neveu, & Westman, Reference Hobfoll, Halbesleben, Neveu and Westman2018) or mortality salience (Burke, Martens, & Faucher, Reference Burke, Martens and Faucher2010), respectively.

In our study context, mindful employees may be better equipped to deal with resource-draining fears about a life-threatening virus, because their focused attention to their present reality helps them display understanding and acceptance of the pandemic situation (Chiesa & Serretti, Reference Chiesa and Serretti2009; Hyland, Lee, & Mills, Reference Hyland, Lee and Mills2015; Jimenez, Niles, & Park, Reference Jimenez, Niles and Park2010). Haun, Nübold, and Bauer (Reference Haun, Nübold and Bauer2018: 390) also indicate that awareness–attention mindfulness increases the chances that employees apply ‘an emotion-focused cognitive coping strategy through which events are re-perceived as beneficial or meaningful,’ which can diminish the probability that employees experience psychological distress, even if they are fearful about COVID-19. That is, they likely can adjust better to life-threatening events, such as COVID-19, by making sense of and deriving meaning from them (Zivnuska, Kacmar, Ferguson, & Carlson, Reference Zivnuska, Kacmar, Ferguson and Carlson2016). For example, perhaps they regard the associated challenges as opportunities to achieve personal growth or display resilience (Brendel, Hankerson, Byun, & Cunningham, Reference Brendel, Hankerson, Byun and Cunningham2016; Evans, Baer, & Segerstrom, Reference Evans, Baer and Segerstrom2009).

Yet another argument for the buffering role of attention–awareness mindfulness is that mindful employees are more likely to realize that they are not the only ones suffering and that others likely are in similar or even more precarious situations, which tends to diminish the experience of psychological strain (Hülsheger et al., Reference Hülsheger, Alberts, Feinholdt and Lang2013; Shao & Skarlicki, Reference Shao and Skarlicki2009). Similarly, mindful employees tend to focus less on their own hardships and direct their energy toward finding ways to help other people struggling with difficult situations (Brown & Ryan, Reference Brown and Ryan2003; Petchsawang & McLean, Reference Petchsawang and McLean2017). Employees then may experience less psychological distress associated with COVID-19, because they can find distraction from adding to the well-being of others. In contrast, employees who are less mindful likely become more psychologically distressed by their fears about a pandemic, due to the sense that they are alone in their suffering.

These arguments, considered in tandem with the aforementioned mediating role of psychological distress, indicate a possible moderated mediation dynamic (Preacher, Rucker, & Hayes, Reference Preacher, Rucker and Hayes2007). That is, the personal resource of mindfulness serves as a critical contingency factor in the indirect relationship between employees' fear of COVID-19 and their suffering from insomnia, through psychological distress. Their mindfulness alleviates the psychological hardships associated with a life-threatening pandemic (Hülsheger et al., Reference Hülsheger, Alberts, Feinholdt and Lang2013), which then is associated with a lower probability that they suffer from persistent sleep deprivation.

Hypothesis 3: The indirect relationship between employees' fear of COVID-19 and insomnia, through psychological distress, is moderated by their mindfulness, such that this indirect relationship is weaker at higher levels of mindfulness.

Data collection

The data collection procedure of study 2 mirrors the one used in study 1. Participants were selected from a different database of Pakistani-based employees, maintained by one of the authors. The online survey was administered in May 2020, while a national lockdown was still in place. Consistent with study 1, the opening statement that accompanied the survey guaranteed complete confidentiality and protection of participants' rights. Among the 500 people randomly selected from the database, 421 returned the survey. The respondents confirmed that they had been fully employed at the start of 2020. The final sample included 74% women, 89% were 30 years or younger, 19% were married, 71% had a university degree, 37% were still earning money at the time of data collection, and 84% worked in the private sector and 16% in the public sector.

Measures

Fear of COVID-19

To assess the extent to which employees experience fear related to the coronavirus, we applied the recently developed seven-item fear of COVID-19 scale (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020), using five-point Likert anchors (1 = ‘strongly disagree,’ 5 = ‘strongly agree’). An accompanying statement prompted respondents to indicate their agreement with statements about how they had been feeling about COVID-19 since its inception. For example, they indicated whether ‘It makes me uncomfortable to think about COVID-19,’ ‘My hands become clammy when I think about COVID-19,’ and ‘I am afraid of losing my life because of COVID-19’ (Cronbach's α = .87).

Psychological distress

To measure the extent to which employees experience psychological hardships, we relied on a 10-item scale of psychological distress (Slade, Grove, & Burgess, Reference Slade, Grove and Burgess2011). The items asked respondents how they had been feeling over the past 30 days, such as ‘During the last 30 days, about how often did you feel hopeless/so sad that nothing could cheer you up/depressed?’ The responses were five-point Likert anchors (1 = ‘never,’ 5 = ‘all the time’; Cronbach's α = .91).

Insomnia

We applied the same scale to measure insomnia as used in study 1 (Cole et al., Reference Cole, Cai, Martin, Findling, Youngstrom, Garber, Curry, Hyde, Essex, Compas, Goodyer, Rohde, Stark, Slattery and Forehand2011). The Cronbach's alpha value of the four-item scale equaled .71.

Mindfulness

We measured employees' mindfulness with the 15-item mindful attention and awareness scale, developed and validated by Brown and Ryan (Reference Brown and Ryan2003) and applied in several investigations of employee well-being (e.g., Haun, Nübold, & Bauer, Reference Haun, Nübold and Bauer2018; Hülsheger et al., Reference Hülsheger, Alberts, Feinholdt and Lang2013; Weintraub, Pattusamy, & Dust, Reference Weintraub, Pattusamy and Dust2019). The items captured participants' everyday experiences; they were instructed to rate how frequently they tend to have the experiences, on six-point, reverse-coded Likert anchors (1 = ‘almost never,’ 6 = ‘almost always’). The instructions underscored that they should rate the statements according to their actual experiences, instead of what they thought their experiences should be. Three sample items were, ‘I find it difficult to stay focused on what's happening in the present,’ ‘It seems I am ‘running on automatic’, without much awareness of what I'm doing,’ and ‘I find myself doing things without paying attention’ (Cronbach's α = .88).

Control variables

The analyses included the same control variables as study 1: gender (1 = female), age (1 = 20 years or younger, 2 = 21–30 years, 3 = 31–45 years, 4 = more than 45 years), marital status (1 = married), education level (1 = university degree), whether the respondents were earning money at the time of data collection (1 = yes), and type of organization (1 = private, 0 = public).

Construct validity

A four-factor measurement model exhibited an acceptable fit: χ2(588) = 1,323.77, CFI = .88, IFI = .89, TLI = .88, RMSEA = .06, and SRMR = .05.Footnote 4 All items had significant factor loadings on their respective constructs (p < .001), affirming the model's convergent validity. The fit of six models with constrained construct pairs was significantly worse than that of their unconstrained equivalents, which indicates the presence of discriminant validity.

Results

Table 3 reports the correlations and descriptive statistics, and Table 4 contains the results of the mediation analysis. Similar to study 1, this analysis relied on the process macro (model 4, Hayes, Reference Hayes2013). We found an effect size of .095 for the indirect relationship between fear of COVID-19 and insomnia through psychological distress; the corresponding CI did not include 0 (.053, .145), in support of Hypothesis 2. Fear of COVID-19 is associated positively with psychological distress (β = .295, p < .001), and psychological distress in turn connects positively with insomnia (β = .322, p < .001).

Table 3. Correlation table and descriptive statistics (study 2)

Note: N = 421.

*p < .05; **p < .01.

Table 4. Mediation results (study 2)

Note: n = 421; SE = standard error; LLCI = lower limit confidence interval; UCLI = upper limit confidence interval.

* p < .05; ** p < .01; *** p < .001.

Consistent with our conceptual arguments, the results in Table 5 indicate a negative, significant role of the fear of COVID-19 × mindfulness interaction term (β = −.103, p < .01) in explaining psychological distress. Similarly, diminishing effect sizes arise in the relationship between fear of COVID-19 and psychological distress at increasing levels of mindfulness (.406 at one standard deviation [SD] below the mean, .313 at the mean, .190 at one SD above the mean). To check formally for the presence of moderated mediation, we assessed the CIs for the conditional indirect relationship between fear of COVID-19 and insomnia at different values of mindfulness. In line with the proposed conceptual framework, the estimated model included a moderating effect of mindfulness in the relationship between fear of COVID-19 and psychological distress but not between psychological distress and insomnia (i.e., process, model 7).Footnote 5 The results revealed diminishing effect sizes at higher levels of the moderator: from .131 at one SD below the mean, to .101 at the mean, to .061 at one SD above the mean. A formal test for the presence of moderated mediation showed that the index of moderated mediation equaled −.033; notably, its corresponding CI did not include 0 (−.062, −.010), in support of Hypothesis 3 (Hayes, Reference Hayes2015).

Table 5. Moderated mediation results (study 2)

Notes: n = 421; SD = standard deviation; SE = standard error; LLCI = lower limit confidence interval; UCLI = upper limit confidence interval.

+p < .10; * p < .05; ** p < .01; *** p < .001.

Discussion

This study is timely for organizational scholars and professionals in its investigation of the possible detrimental relationship between employees' pandemic fears and insomnia, with a particular focus on key factors that underpin or influence this relationship. Despite some recent attention to how organizations and their members have reacted to the COVID-19 pandemic (Bergstrom, Reference Bergstrom2020; Snell, Reference Snell2020; Vaziri, Casper, Wayne, & Matthews, Reference Vaziri, Casper, Wayne and Matthews2020), this study represents a first attempt to explicate how and why a fear of COVID-19 might be negatively associated with employees' sleep quality, as well as personal conditions in which this harmful process is more or less likely to take form. The focus on insomnia as a specific outcome of pandemic fears is highly relevant, in light of the broad acknowledgment in organization research that persistent sleep failures can generate severe detrimental outcomes for employees, in both work and non-work realms (Barnes, Reference Barnes2012; Barnes, Miller, & Bostock, Reference Barnes, Miller and Bostock2017; Crain, Brossoit, & Fisher, Reference Crain, Brossoit and Fisher2018). We have drawn from both COR and terror management theories to propose that (1) resource-depleting fear of COVID-19 associates positively with insomnia through employees' economic concerns and psychological distress, and (2) their attention–awareness mindfulness mitigates this process. These theoretical predictions are confirmed by the empirical findings.

The positive link between employees' fear of COVID-19 and insomnia, through their worries about their economic situation and their tarnished psychological well-being, illustrates how persistent fears about a global virus can generate detrimental outcomes for employees at night. An ability to fall asleep without problem or sleep through the night without interruption requires a peaceful mind, which employees upset by a crisis do not possess (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020; Ren, Gao, & Chen, Reference Ren, Gao and Chen2020). Their depleted positive resources can be manifest as both concerns that they may not be able to provide for the economic needs of themselves or loved ones (Hayes, VanBrackle, & Sigman-Grant, Reference Hayes, VanBrackle and Sigman-Grant2016) and a general sense of hopelessness and anxiety (Slade, Grove, & Burgess, Reference Slade, Grove and Burgess2011). As mentioned at the outset, these mediating roles of economic concerns and psychological distress indicate that employees who cannot keep the threats of the pandemic out of their minds may suffer a dual harm: They already feel overwhelmed by the ways that the global virus has negatively affected their lives, and then the associated economic and psychological hardships prevent them from enjoying a good night of sleep, which could lead to even more problems (Kucharczyk, Morgan, & Hall, Reference Kucharczyk, Morgan and Hall2012; Scott & Judge, Reference Scott and Judge2006).

Another pertinent theoretical insight is that this negative cycle can be disrupted by employees' attention–awareness mindfulness (Hülsheger et al., Reference Hülsheger, Alberts, Feinholdt and Lang2013). In COR theory, the harms that come with resource-draining life circumstances can be mitigated to the extent that employees counter them with valuable personal resources (Hobfoll, Reference Hobfoll2001). The chances that employees feel psychologically distressed and unable to sleep well diminish when they are more aware of and attentive to their present reality (Brown & Ryan, Reference Brown and Ryan2003). This resource may help employees accept and adapt to the pandemic, find meaning in it, and thus feel less distressed by it (Haun, Nübold, & Bauer, Reference Haun, Nübold and Bauer2018; Weintraub, Pattusamy, & Dust, Reference Weintraub, Pattusamy and Dust2019). Mindful employees also may suffer less from their pandemic fears if they use the associated residual energy to engage with others and share their hardships (Gunasekara & Zheng, Reference Gunasekara and Zheng2019), which reduces their experienced strain and associated insomnia. This study thus provides insights into how organizations can avoid the dual harm of pandemic fears and sleepless nights among their employee bases, by stimulating and honing their mindfulness.

Limitations and future research

This study has some limitations, which set the stage for additional investigations. First, the possibility of reverse causality cannot be ignored: Employees who suffer from a persistent lack of sleep may be more sensitive to challenging life situations, such that it becomes more difficult to keep negative thoughts about a pandemic out of their minds. Our conceptual arguments are anchored in well-established COR and terror management theories, according to which the experience of resource-draining, life-threatening situations can spill over ‘into the night’ (Burke, Martens, & Faucher, Reference Burke, Martens and Faucher2010; Toker, Laurence, & Fried, Reference Toker, Laurence and Fried2015). Moreover, the time frames that we asked the respondents to reflect on stemmed from a sequential logic – the period since the start of the pandemic for fear of COVID-19, the past month for economic concerns and psychological distress, and the past few days for insomnia – which alleviates concerns about reverse causality to some extent. Yet these time frames admittedly overlap.Footnote 6 Continued research could assess each of the focal constructs at different points in time, to estimate cross-lagged effects and formally establish causality. A related limitation is that we theorized about the resource-depleting effect of employees' fear of COVID-19, but we did not specifically assess the levels of or changes in employees' resource levels. Further longitudinal studies could address this gap.

Second, the two-study design allowed us to apply two measures of fear of COVID-19 – one that speaks to employees' preoccupations with the virus and its consequences, adapted from a fear of terror scale (Haq, De Clercq, & Azeem, Reference Haq, De Clercq and Azeem2019), and another that taps their fear in a more direct manner (Ahorsu et al., Reference Ahorsu, Lin, Imani, Saffari, Griffiths and Pakpour2020) – through two independent data collection efforts. The consistent support for our hypotheses indicates that both measures help explain variation in employees' suffering from insomnia. Yet it would be useful if continued research were to include both measures in a single study, to assess the extent to which they overlap empirically and compare their relative influences on employees' insomnia. The two studies reported herein also compliment each other by pinpointing the detrimental roles of two types of hardship: economic and psychological. Further research might combine these two aspects in a single study, to assess the possible presence of sequential mediation (e.g., economic concerns influence psychological distress). Such research also could include a test of the buffering role of mindfulness to determine if our study 2 finding, regarding its effect on the connection between employees' fear of COVID-19 and psychological distress, applies to predictions about their worries about their economic situation too. Our focus on mindfulness also might be extended with examinations of other personal buffers that might help employees cope with their pandemic fears, such as psychological capital (Madrid, Diaz, Leka, Leiva, & Barros, Reference Madrid, Diaz, Leka, Leiva and Barros2018) or passion for work (Klaukien, Shepherd, & Patzelt, Reference Klaukien, Shepherd and Patzelt2013).

Third, an empirical weakness of our research is that the samples in both studies included a relatively high number of female and young respondents; it would be useful to seek more diverse samples. A related limitation is our focus on one country, Pakistan. Our theoretical arguments are not country-specific, so we expect that the hypothesized relationships apply to a wide set of countries. Yet even if the nature of the relationships is unlikely to vary across countries, their strength might. In this regard, Pakistan represents a relevant context. The intensity with which its society has been hit by COVID-19, its precarious economic situation before and during the pandemic, and its high level of uncertainty avoidance (Hofstede, Hofstede, & Minkov, Reference Hofstede, Hofstede and Minkov2010) make it likely that employees experience the pandemic as highly intrusive for the quality of their daily lives (Khan, Khan, Maqsood, Hussain, Huda, & Zeeshan, Reference Khan, Khan, Maqsood, Hussain, Huda and Zeeshan2020; Meo, Sabir, Chaudhry, Batool, & Farooq, Reference Meo, Sabir, Chaudhry, Batool and Farooq2020). Research thus should explicitly examine the roles of pertinent macro-level economic and cultural factors in terms of how employees respond to pandemic fears in cross-country studies.

Practical implications

This study offers valuable insights for practice. Organizations must acknowledge that the negative consequences of a pandemic, such as COVID-19, cannot be underestimated. Among all its other damages, it has detrimental consequences for employees' sleep quality, as informed by their worries about unmet economic goals and their diminished psychological well-being. Insomnia is a challenge that hits many employees (Barnes, Miller, & Bostock, Reference Barnes, Miller and Bostock2017; Crain, Brossoit, & Fisher, Reference Crain, Brossoit and Fisher2018), and a global pandemic reinforces this phenomenon. An additional challenge for organizations is that some employees may be reluctant to express their fears about COVID-19 or complain about their sleep quality, so as not to look vulnerable or weak (Ren, Gao, & Chen, Reference Ren, Gao and Chen2020). Organizational decision makers accordingly are advised to create pertinent communication channels – by virtual means or in person, when the pandemic crisis allows it – through which employees can express their worries about the virus, in terms of its detrimental effects on not just their professional careers but also their private lives (Sanders, Nguyen, Bouckenooghe, Rafferty, & Schwarz, Reference Sanders, Nguyen, Bouckenooghe, Rafferty and Schwarz2020). Such communication can serve a cathartic function for employees, such that they might feel relieved and find renewed energy to tackle the upsetting situation, with positive consequences for both their sleep and their work quality.

Yet the modern reality implies that preventing fears of COVID-19 and its consequences is virtually impossible. Therefore, organizations should seek to diminish or disrupt the resulting counterproductive spiral, whereby fears of COVID-19 are associated with enhanced insomnia, which may generate more preoccupations with the consequences of the virus. Employees' mindfulness is a critical personal resource in this regard (Jimenez, Niles, & Park, Reference Jimenez, Niles and Park2010). To the extent that organizations can make employees more mindful, and hence better able to deal with threats in their present reality, they can diminish the risk that their employee bases suffer from significant sleep problems in response to the pandemic. Organizations accordingly might benefit from evaluating and predicting employees' inclinations to be more attentive to their current reality and the corresponding probability that they avoid automatically negative responses to pandemic fears (Brown & Ryan, Reference Brown and Ryan2003; Haun, Nübold, & Bauer, Reference Haun, Nübold and Bauer2018). They also could assess employees' propensities to adapt to and derive meaning from challenging work situations, which may generalize to how they handle significant challenges, inside and outside the workplace.

Finally, prior research emphasizes the value of mindfulness intervention programs, which could have instrumental roles in helping employees find valuable solutions to pandemic fears (Chiesa & Serretti, Reference Chiesa and Serretti2009; Hülsheger, Feinholdt, & Nübold, Reference Hülsheger, Feinholdt and Nübold2015). To enhance employees' mindfulness and its productive application, organizations could outline which individual capabilities are most needed to cope with life-threatening events, then train employees how to leverage those capabilities into concrete plans of action that mitigate the influences of negative events on their personal well-being. This approach may help employees increase the quality of their own lives but also enable them to contribute effectively to the collective well-being of their employing organization. A particularly useful outcome of mindfulness intervention programs, according to a comprehensive overview of them (Jamieson & Tuckey, Reference Jamieson and Tuckey2017), is employee safety. Employee participation in such programs thus could diminish the chances that safety-related fears about the coronavirus enter the workplace, with potentially positive consequences for employee well-being outside work too.

Conclusion

This research provides pertinent insights into how employees may suffer in the presence of life-threatening events, such as the COVID-19 pandemic. In particular, we detail how both economic and psychological hardships underpin the link between fears of COVID-19 and insomnia, as well as the beneficial, buffering role that employees' attention–awareness mindfulness can play in this process. Their worries about their economic situation and their psychological distress help explain how agitation about the coronavirus might be linked to persistent sleep deprivation. We also show that this detrimental process can be subdued among employees who can rely on their mindfulness, a personal resource that enables them to maintain their sleep quality despite persistent pandemic fears. Research into the harmful effects of COVID-19 is just beginning; we hope to have advanced it by detailing how organizations can contain the harms by stimulating and embracing employees' valuable, energy-enhancing personal resources.

Footnotes

1 One item (‘I am not able to afford to buy my children the things that they need’) was removed from the analysis because of its low reliability and a factor loading below the benchmark value of .30 (Lattin, Carroll, & Green, Reference Lattin, Carroll and Green2003).

2 One item (‘I wake up earlier than I used to do’) was removed from the analysis because of its low reliability and low factor loading (Lattin, Carroll, & Green, Reference Lattin, Carroll and Green2003).

3 Even if the retained factor loadings of the measurement items varied in size (ranging between .47 and 85), they all exceeded .30 – a common cut-off value for measurement items (e.g., Deeter-Schmelz & Ramsey, Reference Deeter-Schmelz and Ramsey2010; Raja, Johns, & Ntalianis, Reference Raja, Johns and Ntalianis2004; Tetrick, Thacker, & Fields, Reference Tetrick, Thacker and Fields1999). Prior studies also indicate that lower fit indices are more acceptable in understudied research settings (Kashif, Braganca, Awang, & De Run, Reference Kashif, Braganca, Awang and De Run2017; Lattin, Carroll, & Green, Reference Lattin, Carroll and Green2003). Research conducted in the specific country setting of Pakistan reports similar CFI, IFI and TLI values, lower than .90 but higher than .80, as acceptable (e.g., De Clercq, Azeem, & Haq, Reference De Clercq, Azeem and Haq2021; De Clercq, Jahanzeb, & Fatima, Reference De Clercq, Jahanzeb and Fatima2020c).

4 The factor loadings of the measurement items ranged between .40 and 80, and the fit indices were similar to and somewhat better than those reported in study 1. Thus, the same arguments apply with respect to their acceptability in a Pakistani context, as explained in footnote 3.

5 A post hoc analysis confirmed that mindfulness did not significantly moderate the second relationship.

6 To assess empirically whether reverse causality might be a concern, we applied the process macro to estimate a model that included a moderated mediation link between insomnia and fear of COVID-19, through psychological distress, which is the reverse equivalent of the comprehensive model tested in study 2. The index of moderation for this alternative model equaled −.016 (cf. −.033, as reported in Table 5), and the CI of this index did include 0 ([−.040; .006]), indicating the absence of moderation mediation. These results diminish concerns about reverse causality, though they cannot rule it out completely.

References

Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: Development and initial validation. International Journal of Mental Health and Addiction, 27, 19.Google Scholar
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychology Bulletin, 1033, 411423.CrossRefGoogle Scholar
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13, 2745CrossRefGoogle ScholarPubMed
Barnes, C. M. (2012). Working in our sleep: Sleep and self-regulation in organizations. Organizational Psychology Review 2, 234257.CrossRefGoogle Scholar
Barnes, C. M., Miller, J. A., & Bostock, S. (2017). Helping employees sleep well: Effects of cognitive behavioral therapy for insomnia on work outcomes. Journal of Applied Psychology, 102, 104113.CrossRefGoogle ScholarPubMed
Barnes, C. M., Wagner, D. T., & Ghumman, S. (2012). Borrowing from sleep to pay work and family: Expanding time-based conflict to the broader nonwork domain. Personnel Psychology, 65, 789819.CrossRefGoogle Scholar
Bergstrom, K. (2020). Responding to COVID-19. Benefits Quarterly, 36, 810.Google Scholar
Bishop, S. R., Lau, M., Shapiro, S., Carlson, L., Anderson, N. D., Carmody, J., … Devins, G. (2004). Mindfulness: A proposed operational definition. Clinical Psychology: Science and Practice, 11, 230241.Google Scholar
Bordia, P., Hobman, E., Jones, E., Gallois, C., & Callan, V. J. (2004). Uncertainty during organizational change: Types, consequences, and management strategies. Journal of Business and Psychology, 18, 507532.CrossRefGoogle Scholar
Brendel, W., Hankerson, S., Byun, S., & Cunningham, B. (2016). Cultivating leadership dharma: Measuring the impact of regular mindfulness practice on creativity, resilience, tolerance for ambiguity, anxiety and stress. Journal of Management Development, 35, 10561078.CrossRefGoogle Scholar
Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84, 822848.CrossRefGoogle ScholarPubMed
Burke, B. L., Martens, A., & Faucher, E. H. (2010). Two decades of terror management theory: A meta-analysis of mortality salience research. Personality and Social Psychology Review, 14, 155195.CrossRefGoogle ScholarPubMed
Cheng, Y., Cui, D., & Li, Z. (2020). COVID-19 virus pneumonia's economic effect in different industries: A case study in China. Journal of Applied Finance and Banking, 10, 129147.Google Scholar
Chiesa, A., & Serretti, A. (2009). Mindfulness-based stress reduction for stress management in healthy people: A review and meta-analysis. Journal of Alternative and Complementary Medicine, 15, 593600.CrossRefGoogle ScholarPubMed
Cole, D. A., Cai, L., Martin, N. C., Findling, R. L., Youngstrom, E. A., Garber, J., Curry, J. F., Hyde, J. S., Essex, M. J., Compas, B. E., Goodyer, I. M., Rohde, P., Stark, K. D., Slattery, M. J., & Forehand, R. (2011). Structure and measurement of depression in youths: Applying item response theory to clinical data. Psychological Assessment, 23, 819833.CrossRefGoogle ScholarPubMed
Coombe, A. H., Epps, F., Lee, J., Chen, M.-L., Imes, C. C., & Chasens, E. R. (2019). Sleep and self-rated health in an aging workforce. Workplace Health & Safety, 67, 302310.CrossRefGoogle Scholar
Crain, T. L., Brossoit, R. M., & Fisher, G. G. (2018). Work, nonwork, and sleep (WNS): A review and conceptual framework. Journal of Business and Psychology, 33, 675697.CrossRefGoogle Scholar
De Clercq, D., Azeem, M. U., & Haq, I. U. (2021). But they promised! How psychological contracts influence the impact of felt violations on job-related anxiety and performance. Personnel Review, 50, 648666.CrossRefGoogle Scholar
De Clercq, D., Haq, I. U., & Azeem, M. U. (2017). Perceived threats of terrorism and job performance: The roles of job-related anxiety and religiousness. Journal of Business Research, 78, 2332.CrossRefGoogle Scholar
De Clercq, D., Haq, I. U., & Azeem, M. U. (2020b). Threatened but involved: Key conditions for stimulating employee helping behavior. Journal of Leadership and Organizational Studies, 27, 271285.CrossRefGoogle Scholar
De Clercq, D., Jahanzeb, S., & Fatima, T. (2020c). How abusive supervision ultimately might enhance performance ratings among silent, neurotic employees. Personnel Review, forthcoming.Google Scholar
Deeter-Schmelz, D., & Ramsey, R. P. (2010). A psychometric assessment of the Lennox and Wolfe self-monitoring scale in the sales force. Industrial Marketing Management, 39, 11621169.CrossRefGoogle Scholar
Evans, D. R., Baer, R. A., & Segerstrom, S. C. (2009). The effects of mindfulness and self-consciousness on persistence. Personality and Individual Differences, 47, 379382.CrossRefGoogle Scholar
Garcia, P. R. J. M., Bordia, P., Restubog, S. L. D., & Caines, V. (2018). Sleeping with a broken promise: The moderating role of generativity concern in the relationship between psychological contract breach and insomnia among older workers. Journal of Organizational Behavior, 39, 326338.CrossRefGoogle Scholar
Garland, E. L., Farb, N. A., Goldin, P. R., & Fredrickson, B. L. (2015). Mindfulness broadens awareness and builds eudaimonic meaning: A process model of mindful positive emotion regulation. Psychological Inquiry, 26, 293314.CrossRefGoogle ScholarPubMed
Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25, 186192.CrossRefGoogle Scholar
Glomb, T. M., Duffy, M. K., Bono, J. E., & Yang, T. (2011). Mindfulness at work. Research in Personnel and Human Resources Management, 30, 115157CrossRefGoogle Scholar
Greenberg, J. (2006). Losing sleep over organizational injustice: Attenuating insomniac reactions to underpayment inequity with supervisory training in interactional justice. Journal of Applied Psychology, 91, 5869.CrossRefGoogle ScholarPubMed
Greenberg, J., & Kosloff, S. (2008). Terror management theory: Implications for understanding prejudice, stereotyping, inter-group conflict, and political attitudes. Social and Personality Psychology Compass, 2, 18811894.CrossRefGoogle Scholar
Grunberg, L., Moore, S., & Greenberg, E. S. (2006). Managers’ reactions to implementing layoffs: Relationship to health problems and withdrawal behaviors. Human Resource Management, 45, 159178.CrossRefGoogle Scholar
Gunasekara, A., & Zheng, C. S.-M. (2019). Examining the effect of different facets of mindfulness on work engagement. Employee Relations, 41, 193208.CrossRefGoogle Scholar
Haar, J., & Roche, M. (2013). Three-way interaction effects of workaholism on employee well-being: Evidence from blue-collar workers in New Zealand. Journal of Management and Organization, 19, 134149.CrossRefGoogle Scholar
Haq, I. U., De Clercq, D., & Azeem, M. U. (2019). Can employees perform well if they fear for their lives? Yes – if they have a passion for work. Personnel Review, 49, 469490.CrossRefGoogle Scholar
Haun, V. C., Nübold, A., & Bauer, A. G. (2018). Being mindful at work and at home: Buffering effects in the stressor–detachment model. Journal of Occupational and Organizational Psychology, 91, 385410.CrossRefGoogle Scholar
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.Google Scholar
Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 122.CrossRefGoogle ScholarPubMed
Hayes, J. T., VanBrackle, A., & Sigman-Grant, M. (2016). Influence of perceived economic strain on the relationship between caregiver BMI and child BMI. Journal of Family and Economic Issues, 37, 172181CrossRefGoogle Scholar
Hilton, J. M., & Devall, E. L. (1997). The family economic strain scale: Development and evaluation of the instrument with single- and two-parent families. Journal of Family and Economic Issues, 18, 247271.CrossRefGoogle Scholar
Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resource theory. Applied Psychology: An International Review, 50, 337369.CrossRefGoogle Scholar
Hobfoll, S. E., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103128.CrossRefGoogle Scholar
Hobfoll, S. E., & Shirom, A. (2000). Conservation of resources theory: Applications to stress and management in the workplace. In Golembiewski, R. T. (Ed.), Handbook of organization behavior (2nd ed., pp. 5781). New York: Dekker.Google Scholar
Hofstede, G. H., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. Intercultural cooperation and its importance for survival (3rd ed.). New York: McGraw-Hill.Google Scholar
Howie, L. (2007). The terrorism threat and managing workplaces. Disaster Prevention and Management, 16, 7078.CrossRefGoogle Scholar
Hülsheger, U. R., Alberts, H. J. E. M., Feinholdt, A., & Lang, J. W. B. (2013). Benefits of mindfulness at work: The role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. Journal of Applied Psychology, 98, 310325.CrossRefGoogle ScholarPubMed
Hülsheger, U. R., Feinholdt, A., & Nübold, A. (2015). A low-dose mindfulness intervention and recovery from work: Effects on psychological detachment, sleep quality, and sleep duration. Journal of Occupational and Organizational Psychology, 88, 464489CrossRefGoogle Scholar
Hyland, P. K., Lee, R. A., & Mills, M. J. (2015). Mindfulness at work: A new approach to improving individual and organizational performance. Industrial and Organizational Psychology, 8, 576602.CrossRefGoogle Scholar
Jamieson, S. D., & Tuckey, M. R. (2017). Mindfulness interventions in the workplace: A critique of the current state of the literature. Journal of Occupational Health Psychology, 22, 180193.CrossRefGoogle Scholar
Jimenez, S. S., Niles, B. L., & Park, C. L. (2010). A mindfulness model of affect regulation and depressive symptoms: Positive emotions, mood regulation expectancies, and self-acceptance as regulatory mechanisms. Personality and Individual Differences, 49, 645650.CrossRefGoogle Scholar
Kashif, M., Braganca, E., Awang, Z., & De Run, E. C. (2017). You abuse but I will stay: The combined effects of job stress, customer abuse, and emotional intelligence on employee turnover. Journal of Management Development, 36, 899914.CrossRefGoogle Scholar
Khan, S., Khan, M., Maqsood, K., Hussain, T., Huda, N. U., & Zeeshan, M. (2020). Is Pakistan prepared for the COVID-19 epidemic? A questionnaire-based survey. Journal of Medical Virology, 92, 824832.CrossRefGoogle ScholarPubMed
Klaukien, A., Shepherd, D. A., & Patzelt, H. (2013). Passion for work, nonwork-related excitement, and innovation managers’ decision to exploit new product opportunities. Journal of Product Innovation Management, 30, 574588.CrossRefGoogle Scholar
Kosloff, S., Greenberg, J., Sullivan, D., & Weise, D. (2010). Of trophies and pillars: Exploring the terror management functions of short-term and long-term relationship partners. Personality and Social Psychology Bulletin, 36, 10371051.CrossRefGoogle ScholarPubMed
Kucharczyk, E. R., Morgan, K., & Hall, A. P. (2012). The occupational impact of sleep quality and insomnia symptoms. Sleep Medicine Reviews, 16, 547559.CrossRefGoogle ScholarPubMed
Lattin, J. M., Carroll, J. D., & Green, P. E. (2003). Analyzing multivariate data. Belmont, CA: Thomson Brooks/Cole.Google Scholar
Leroy, H., Anseel, F., Dimitrova, N. G., & Sels, L. (2013). Mindfulness, authentic functioning, and work engagement: A growth modelling approach. Journal of Vocational Behaviour, 82, 238247.CrossRefGoogle Scholar
Lin, W., Ma, J., Wang, L., & Wang, M. (2015). A double-edged sword: The moderating role of conscientiousness in the relationships between work stressors, psychological strain, and job performance. Journal of Organizational Behavior, 36, 94111.CrossRefGoogle Scholar
Madrid, H. P., Diaz, M. T., Leka, S., Leiva, P. I., & Barros, E. (2018). A finer grained approach to psychological capital and work performance. Journal of Business and Psychology, 33, 461477.CrossRefGoogle Scholar
Martin, K. P., Blair, S. M., Clark, G. I., Rock, A. J., & Hunter, K. R. (2018). Trait mindfulness moderates the relationship between early maladaptive schemas and depressive symptoms. Mindfulness, 9, 140150.CrossRefGoogle Scholar
Meo, M., Sabir, S., Chaudhry, I., Batool, S., & Farooq, F. (2020). Addressing the challenges of COVID-19 pandemic outbreak: Pakistan's preparations and response. Journal of Public Affairs, doi:10.1002/pa.2430.Google Scholar
Montani, F., Ilaria, S., Valentina, S., Courcy, F., & Gabriele, G. (2020). Who responds creatively to role conflict? Evidence for a curvilinear relationship mediated by cognitive adjustment at work and moderated by mindfulness. Journal of Business and Psychology, 35, 621641.CrossRefGoogle Scholar
Ng, T. W. H., & Feldman, D. C. (2013). The effects of organisational embeddedness on insomnia. Applied Psychology: An International Review, 62, 330357.CrossRefGoogle Scholar
Petchsawang, P., & McLean, G. N. (2017). Workplace spirituality, mindfulness meditation, and work engagement. Journal of Management, Spirituality & Religion, 14, 216244.CrossRefGoogle Scholar
Pieters, W. R., & Matheus, L. (2020). Improving general health and reducing burnout of nurses in Namibia. SA Journal of Human Resource Management, 18, 113.CrossRefGoogle Scholar
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185227.CrossRefGoogle Scholar
Qian, S., Yuan, Q., Lim, V. K. G., Niu, W., & Liu, Z. (2020). Do job insecure leaders perform less transformational leadership? The roles of emotional exhaustion and trait mindfulness. Journal of Leadership & Organizational Studies, 27, 376388.CrossRefGoogle Scholar
Rafferty, A. E., & Jimmieson, N. L. (2017). Subjective perceptions of organizational change and employee resistance to change: Direct and mediated relationships with employee well-being. British Journal of Management, 28, 248264.CrossRefGoogle Scholar
Ragins, B. R., Ehrhardt, K., Lyness, K. S., Murphy, D. D., & Capman, J. F. (2017). Anchoring relationships at work: High-quality mentors and other supportive work relationships as buffers to ambient racial discrimination. Personnel Psychology, 70, 211256.CrossRefGoogle Scholar
Raja, U., Azeem, M. U., Haq, I. U., & Naseer, S. (2020). Perceived threat of terrorism and employee outcomes: The moderating role of negative affectivity and psychological capital. Journal of Business Research, 110, 316326.CrossRefGoogle Scholar
Raja, U., Johns, G., & Ntalianis, F. (2004). The impact of personality on psychological contracts. Academy of Management Journal, 47, 350367.CrossRefGoogle Scholar
Ren, S.-Y., Gao, R.-D., & Chen, Y.-L. (2020). Fear can be more harmful than the severe acute respiratory syndrome coronavirus 2 in controlling the corona virus disease 2019 epidemic. World Journal of Clinical Cases, 8, 652657.CrossRefGoogle Scholar
Roche, M., & Haar, J. M. (2013). A metamodel approach towards self-determination theory: A study of New Zealand managers’ organisational citizenship behaviours. International Journal of Human Resource Management, 24, 33973417.CrossRefGoogle Scholar
Sanders, K., Nguyen, P. T., Bouckenooghe, D., Rafferty, A., & Schwarz, G. (2020). Unraveling the what and how of organizational communication to employees during COVID-19 pandemic: Adopting an attributional lens. Journal of Applied Behavioral Science, 56, 289293.CrossRefGoogle Scholar
Schneider, C., Fulda, S., & Schulz, H. (2004). Daytime variation in performance and tiredness/sleepiness ratings in patients with insomnia, narcolepsy, sleep apnea and normal controls. Journal of Sleep Research, 13, 373383.CrossRefGoogle ScholarPubMed
Scott, B. A., & Judge, T. A. (2006). Insomnia, emotions, and job satisfaction: A multilevel study. Journal of Management, 32, 622645.CrossRefGoogle Scholar
Shao, R., & Skarlicki, D. P. (2009). The role of mindfulness in predicting individual performance. Canadian Journal of Behavioural Science, 41, 195201.CrossRefGoogle Scholar
Shapiro, S. L., Carlson, L. E., Astin, J. A., & Freedman, B. (2006). Mechanisms of mindfulness. Journal of Clinical Psychology, 62, 373386.CrossRefGoogle ScholarPubMed
Slade, T., Grove, R., & Burgess, P. (2011). Kessler psychological distress scale: Normative data from the 2007 Australian national survey of mental health and wellbeing. Australian and New Zealand Journal of Psychiatry, 45, 308316.CrossRefGoogle ScholarPubMed
Snell, R. (2020). How is COVID-19 impacting compliance professionals across the country? Journal of Health Care Compliance, 22, 3368.Google Scholar
Tetrick, L. E., Thacker, J. W., & Fields, M. W. (1999). Evidence for the stability of the four dimensions of the commitment to the union scale. Journal of Applied Psychology, 74, 819822.CrossRefGoogle Scholar
Toker, S., Laurence, G. A., & Fried, Y. (2015). Fear of terror and increased job burnout over time: Examining the mediating role of insomnia and the moderating role of work support. Journal of Organizational Behavior, 36, 272291.CrossRefGoogle Scholar
Van De Voorde, K., & Beijer, S. (2015). The role of employee HR attributions in the relationship between high-performance work systems and employee outcomes. Human Resource Management Journal, 25, 6278.CrossRefGoogle Scholar
Vaziri, H., Casper, W. J., Wayne, J. H., & Matthews, R. A. (2020). Changes to the work–family interface during the COVID-19 pandemic: Examining predictors and implications using latent transition analysis. Journal of Applied Psychology, 105, 1073.CrossRefGoogle Scholar
Weintraub, J., Pattusamy, M., & Dust, S. B. (2019). Mindful multitasking: Disentangling the effect of polychronicity on work-home conflict and life satisfaction. The Journal of Social Psychology, 159, 497502.CrossRefGoogle ScholarPubMed
Wu, F. (2020). China's coronavirus fallout. The International Economy, 34, 4647.Google Scholar
Zivnuska, A., Kacmar, M. K., Ferguson, M., & Carlson, D. S. (2016). Mindfulness at work: Resource accumulation, well-being, and attitudes. Career Development International, 21, 106124.CrossRefGoogle Scholar
Figure 0

Figure 1. Conceptual model.

Figure 1

Table 1. Correlation table and descriptive statistics (study 1)

Figure 2

Table 2. Mediation results (study 1)

Figure 3

Table 3. Correlation table and descriptive statistics (study 2)

Figure 4

Table 4. Mediation results (study 2)

Figure 5

Table 5. Moderated mediation results (study 2)