Elsevier

Sleep Medicine

Volume 20, April 2016, Pages 51-58
Sleep Medicine

Original Article
Prospective study of predictors and consequences of insomnia: personality, lifestyle, mental health, and work-related stressors

https://doi.org/10.1016/j.sleep.2015.12.002Get rights and content

Highlights

  • Languidity predicted increased symptoms of insomnia over time.

  • Anxiety and depression predicted increased symptoms of insomnia over time.

  • Bullying and negative spillover predicted increased symptoms of insomnia over time.

  • Morningness and positive spillover predicted less symptoms of insomnia over time.

  • Insomnia emerged as a precursor for anxiety, but not for depression.

Abstract

Objective

To prospectively investigate the reciprocal relationships between personality traits, lifestyle factors, mental health, sleepiness, and work-related stressors against insomnia.

Methods

A total of 799 Norwegian shift-working nurses (mean age 33.2 years, 90% female) participated in this prospective cohort study. They were assessed on self-report instruments (Bergen Insomnia Scale, Diurnal Type Scale, Hospital Anxiety and Depression Scale, Negative Acts Questionnaire-Revised, Work–Family Interface Scale, among others) in 2008/2009 (wave 1) and 2011 (wave 3). Structural equation modeling was employed to investigate the bidirectional relationship between a wide range of individual and work-related variables and insomnia.

Results

Languidity (β = 0.18***), anxiety (β = 0.11**), depression (β = 0.14***), exposure to bullying behavior (β = 0.08*), and negative spillover between work and family life (work to family, β = 0.08*; family to work, β = 0.07*) predicted increased symptoms of insomnia over time. Morningness (β = −0.09*) and positive spillover from work to family (β = −0.11**) predicted less symptoms of insomnia over time. No support was found for night work as a predictor of increased insomnia. Insomnia was a precursor for anxiety (β = 0.11**), but not for depression (*p <0.05, **p <0.01, ***p <0.001).

Conclusion

The data suggested that insomnia more often emerges as a consequence of individual and work-related factors than as a precursor to them. The scope of factors causing insomnia, and factors protecting against it, should be further investigated. Insomnia should be considered in prediction models for mental illnesses and as an outcome of adverse work-related experiences.

Introduction

Insomnia is a sleep disorder characterized by difficulties initiating or maintaining sleep, which impair daytime functioning [1]. The reported prevalence of insomnia varies from 2% to about 48%, depending on the stringency of definitions and operationalization of the construct [2], [3]. Trend studies have pointed to a rising occurrence of insomnia in the general adult population over the past decades [4], [5], [6], [7], [8], [9]. This may be related to an aging population and increase in being overweight. Increased use of shift work and increased job-related stress may be other important predictors for the rising occurrence of insomnia [4]. In addition, increased use of electronic devices at bedtime may hamper sleep [10]. Finally, increased awareness of the significance of sleep may have spurred the report of sleep problems [11]. Health problems related to insomnia include a range of medical conditions such as: heart disease, hypertension, neurological disease, gastrointestinal problems, cancer, and diabetes, among others [12], [13], [14], [15]. More inextricably linked to insomnia, however, are mental health conditions such as anxiety and depression [16], [17]. Anxiety and stressful life events are also often seen as precursors to sleep difficulties, whereas persistent insomnia is typically seen as a risk factor for depression [18].

Stress and prolonged arousal are key features that may cause sleep difficulties, which is a relationship believed to be mediated by worry and intrusive or repetitive thoughts [19], [20]. One such highly intrusive stressor is exposure to bullying behaviors in the work place; this is defined as the persistent exposure to negative actions from others in a situation or at an intensity that the targeted employee finds it difficult to defend against [21]. Exposure to bullying behavior leads to psychological distress [22] and has been found to predict subsequent sleep difficulties [23], [24], with a call for more studies on the relationship between bullying and sleep difficulties [25].

Another important stressor in contemporary work-life is the challenge of combining work and family life, where too much strain and worry in one domain may spill over to the other in a cyclic process that leads to deficient recovery and poor sleep quality [26]. Work-related strain may also be increasing due to a growing number of 24-hour services and businesses. In order to extend operating hours, these businesses need to organize the staffing through shift work, which has well-known detrimental effects on the workers' health and sleep [27], [28]. However, some people have the ability to adapt to shift work without substantial detrimental effects. Some of the characteristics associated with higher shift work tolerance include low scores on the personality trait ‘morningness’, high scores on flexibility, and low scores on languidity [29]. These three personality characteristics describe different aspects that are related to how the individual relates to the act of sleeping. Morningness refers to individual preferences of timing for sleep and active periods during the 24-hour day [30]; flexibility refers to individual differences in capacity to sleep at odd times [31]; and languidity describes differences in the ability to withstand and overcome drowsiness upon losing sleep [31]. Although these traits are directly related to the individual's sleep and wakefulness, there are few studies that have looked at whether they predict the development of insomnia over time.

Much is known about the precursors of insomnia, but the majority of studies are still cross-sectional, which precludes inferences about directionality [26], [32]. Although an increasing number of studies have used longitudinal designs over the past 15 years, they have tended to focus on only a few variables as predictors of insomnia [16], [23], [33], and very few have studied the potential bidirectional relationship between these variables and insomnia [16], [17], [23].

Therefore, the purpose of the current study was to employ a prospective design to investigate the reciprocal relationship between a wide range of individual and work-related variables against insomnia (personality traits, lifestyle factors, mental health, sleepiness, and work-related stressors).

Section snippets

Subjects and procedure

The current study was based on data from the Norwegian Survey of Shiftwork, Sleep and Health (SUSSH) project. The SUSSH is a cohort study that was established in 2008/2009, where surveys are carried out annually. Registered members of the Norwegian Nurses Organization (NNO) were recruited to participate (N = 5400). The current study includes data from 2009 (wave 1) and 2011 (wave 3), where the data collection for both waves took place during winter and spring. The total number of respondents

Results

In order to elucidate any potential differences between non-responders (ie, those who only responded on wave 1) and responders (those who both responded on wave 1 and 3), independent sample t-tests (for continuous variables) and Chi-square test for independence (for categorical variables) were employed. Those who only responded on wave 1 (ie, ‘non-responders’) were significantly older (p <0.001), more often without a partner (p <0.001), more often without children living at home (p <0.001),

Discussion

Employing a prospective design, the current study investigated the reciprocal relationship between a wide range of theoretically relevant individual and work-related variables (ie, personality traits, lifestyle factors, mental health, sleepiness, and work-related stressors) and insomnia.

The aim was to explore whether the three personality traits (morningness, languidity and flexibility) would play a role in the development of insomnia, based on the fact that aspects of these traits, in

Conflict of interest

None of the authors have any conflicts of interest related to the content of this paper.

The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2015.12.002.

. ICMJE Form for Disclosure of Potential Conflicts of Interest form.

References (75)

  • L. Di Milia et al.

    A validation of the revised circadian type inventory in a working sample

    Pers Individ Dif

    (2005)
  • P. Salo et al.

    Insomnia symptoms as a predictor of incident treatment for depression: prospective cohort study of 40,791 men and women

    Sleep Med

    (2012)
  • I. Bjelland et al.

    The validity of the Hospital Anxiety and Depression Scale: an updated literature review

    J Psychosom Res

    (2002)
  • S. Natvik et al.

    Personality factors related to shift work tolerance in two- and three-shift workers

    Appl Ergon

    (2011)
  • M.H. Bonnet et al.

    Hyperarousal and insomnia

    Sleep Med Rev

    (1997)
  • A. Jaehne et al.

    How smoking affects sleep: a polysomnographical analysis

    Sleep Med

    (2012)
  • A.G. Harvey

    A cognitive model of insomnia

    Behav Res Ther

    (2002)
  • C.P. Fairholme et al.

    Transdiagnostic processes in emotional disorders and insomnia: results from a sample of adult outpatients with anxiety and mood disorders

    Behav Res Ther

    (2012)
  • D. Riemann et al.

    Sleep and depression – results from psychobiological studies: an overview

    Biol Psychol

    (2001)
  • C. Baglioni et al.

    Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies

    J Affect Disord

    (2011)
  • M.M. Ohayon et al.

    Prevalence and consequences of sleep disorders in a shift worker population

    J Psychosom Res

    (2002)
  • American Psychiatric Association

    Diagnostic and statistical manual of mental disorders: DSM-5™

    (2013)
  • M.A. Quera-Salva et al.

    Insomnia and use of hypnotics: study of a French population

    Sleep

    (1991)
  • B. Linjenberg et al.

    Age and the prevalence of insomnia in adulthood

    Eur J Psychiatry

    (1989)
  • E. Kronholm et al.

    Trends in self-reported sleep duration and insomnia-related symptoms in Finland from 1972 to 2005: a comparative review and re-analysis of Finnish population samples

    J Sleep Res

    (2008)
  • M. Calem et al.

    Increased prevalence of insomnia and changes in hypnotics use in England over 15 years: analysis of the 1993, 2000, and 2007 National Psychiatric Morbidity Surveys

    Sleep Biol Rhythms

    (2012)
  • M. Hysing et al.

    Sleep and use of electronic devices in adolescence: results from a large population-based study

    BMJ Open

    (2015)
  • D.J. Taylor et al.

    Comorbidity of chronic insomnia with medical problems

    Sleep

    (2007)
  • A.N. Vgontzas et al.

    Insomnia with objective short sleep duration is associated with a high risk for hypertension

    Sleep

    (2009)
  • A.N. Vgontzas et al.

    Insomnia with objective short sleep duration is associated with type 2 diabetes. A population-based study

    Diabetes Care

    (2009)
  • B. Sivertsen et al.

    Insomnia as a risk factor for ill health: results from the large population-based prospective HUNT Study in Norway

    J Sleep Res

    (2014)
  • B. Sivertsen et al.

    The bidirectional association between depression and insomnia: the HUNT study

    Psychosom Med

    (2012)
  • A.R. Rodriguez et al.

    Workplace bullying and sleep quality: the mediating role of worry and need for recovery

    Behav Psychol

    (2011)
  • S. Einarsen et al.

    The concept of bullying and harassment at work: the European tradition

  • M.B. Nielsen et al.

    Longitudinal relationships between workplace bullying and psychological distress

    Scand J Work Environ Health

    (2012)
  • Å.M. Hansen et al.

    Workplace bullying and sleep difficulties: a 2-year follow-up study

    Int Arch Occup Environ Health

    (2014)
  • M.B. Nielsen et al.

    Outcomes of exposure to workplace bullying: a meta-analytical review

    Work Stress

    (2012)
  • Cited by (50)

    • International study of the prevalence and factors associated with insomnia in the general population

      2021, Sleep Medicine
      Citation Excerpt :

      Also in the literature, the co-morbidities most often associated with insomnia are psychiatric disorders, and among them, mood disorders are the most common [30]. Nevertheless, the nature of the relationship between insomnia and psychiatric disorders is difficult to establish because insomnia is one of the symptoms of both depression and anxiety disorder, but it can also exist as a separate comorbidity that can aggravate or even precede the illness [2,31,32]. In any case, the fact that insomnia, mood disorders and anxiety disorders are closely related would suggest that insomnia, an easily diagnosed condition, would be a good indicator of overall mental health, which should be systematically explored in case of insomnia.

    • Insight into the relationship between sleep characteristics and anxiety: A cross-sectional study in indigenous and minority populations in northeastern Greece

      2020, Psychiatry Research
      Citation Excerpt :

      Our results are consistent with literature concerning the relationship between sleep quality and anxiety disorders, specifically the association between insomnia and anxiety (Bragantini et al., 2019). For example, a study conducted on Norwegian night-shift workers indicated a bidirectional relationship between anxiety and insomnia (Vedaa et al., 2016). In our study, similar bed time in the anxiety and non-anxiety groups was recorded.

    • Workplace bullying and sleep – A systematic review and meta-analysis of the research literature

      2020, Sleep Medicine Reviews
      Citation Excerpt :

      Three of the prospective studies examined whether sleep problems predicted subsequent risk of bullying. While Hansen and colleagues [42] found that sleep problems were associated with subsequent exposure to bullying, Johannesen and Sterud [55] as well as Vedaa and colleagues [67] found no evidence for a reverse association. It should be noted that all three studies investigated the latter association in separate direction specific analyses rather than examining the normal and the reverse association simultaneously in a reciprocal cross-panel model.

    • Predictors of the initiation of shift work disorder among Chinese intern nurses: a prospective study

      2020, Sleep Medicine
      Citation Excerpt :

      These results implied that subjects with primary sleep disturbances were vulnerable to secondary sleep disturbances, especially in the first-time shift-work setting. A significant proportion of the nurses with baseline sleep disturbance were prone to having chronic sleep problems [20] as well as excessive sleepiness [21]. The tendency of morningness was found to be a risk predictor of SWD in all three bivariate logistic models, which could help determine the controversial relationship between morningness and SWD in previous studies.

    View all citing articles on Scopus
    View full text