Elsevier

Sleep Medicine

Volume 14, Issue 1, January 2013, Pages 71-78
Sleep Medicine

Original Article
Somatic symptoms and psychological characteristics associated with insomnia in postmenopausal women

https://doi.org/10.1016/j.sleep.2012.08.003Get rights and content

Abstract

Objective

The aim of the study was to assess the association of sleep disturbance with psychological characteristics, somatic symptoms and previously identified risk factors.

Methods

Data were from 148,938 postmenopausal women enrolled in The Women’s Health Initiative who provided cross-sectional information about psychological characteristics, somatic symptoms and the character of their sleep. Overall sleep quality was based on the Women’s Health Initiative Insomnia Rating Scale (WHI IRS), a measure that assessed five types of sleep disturbance.

Results

Three factors accounted for nearly 20% of the variation in the WHI IRS: a scale for somatic symptoms, daytime restlessness and either depression or emotional well-being. Other independently associated factors were night sweats, pain and worry about expressing anger. Several factors that had been linked to sleep disturbance in other studies were found to have at most a weak independent association in this analysis. These included income, education, marital status, activity level, obesity level, hot flashes, coffee drinking and smoking.

Conclusion

Factors strongly associated with sleep disturbance in this study deserve further evaluation to determine the reasons for the association and whether the associations suggest possible treatments for sleep disturbance.

Introduction

Sleep disturbances are characterised by difficulties falling asleep, waking during the night, staying asleep, waking early, getting back to sleep and non-restorative sleep that cause daytime impairment or distress [1]. Epidemiological studies have found that a third of the general population have sleep disturbances and that disturbed sleep contributes to accidents, cognitive and social dysfunction and impaired physical and psychological health [2].

Sleep problems are affected by both predisposing and precipitating factors [3]. Chief among the predisposing factors are worry, hyperarousal and poor coping. Precipitating factors are most commonly stressful life circumstances [4], [5]. Large-scale epidemiological studies are often unable to measure these factors directly, but they may measure other related characteristics. Factors that have been found to be associated with insomnia include demographics (age [6], [7], [8], [9], [10], race, marital status [11] and socioeconomic status [12], [13], [14]), health [15], [16], health risk (acute or chronic stress [8], [17], [18], [19], [20], inactive lifestyle, obesity [8], [21], [22], [23], [24], caffeine, nicotine [25], [26], [27], [28], [29] and alcohol [30], [31]) psychiatric (mood [14], [23], [32] and anxiety), psychological (poor social functioning [33], [34], anger/hostility [35], inability to express anger [36], discontent [37], somatic and psychological [38]) and somatic symptoms (pain [23], [39], [40], [41], [42], vasomotor symptoms [43], [44], [45], [46], [47], [48] and somatic symptom inventory [49]).

Perhaps the most important risk factors for sleep disturbance are psychiatric disorders [1], [2]. According to a 2008 article in the American Journal of Psychiatry, the strongest risk factor for insomnia is concurrent depressive symptoms [50]. In another article, it was reported that approximately half of the patients with insomnia have a primary psychiatric disorder, most often depression or anxiety [51].

The National Institutes of Health (NIH) State of the Science conference called for the testing of risk factors for insomnia using validated instruments with known psychometric properties, ease of administration and cross-cultural applicability. The present study uses a large epidemiological database to examine the independence and relative strength of psychological and somatic symptoms for different types of sleep disturbance.

Section snippets

Methods

The Women’s Health Initiative (WHI) study design has been described in detail [52], [53], [54]. In brief, it was a long-term national health study that focussed on strategies for preventing heart disease, breast and colorectal cancer and osteoporosis in postmenopausal women. Women between the ages of 50 and 79 were enrolled in an observational study or randomised controlled trial (RCT) from 1993 to 1998 at 40 clinical centres throughout the United States. Subjects available for analysis

Results

General characteristics of the participants are shown in Table 1. For all variables except race, there is substantial variation among the participants. Only two of the nearly 150,000 participants were older than 79, which was supposed to be the upper age limit for subjects in the study. Distributions of the characteristics are presented for all subjects and for subjects in two subgroups: the observational study and the three RCTs combined. Characteristics differed between subgroups at the P < 

Discussion

The extensive database in a large, defined population made the present study well-suited for comparing the strength of association of many factors with sleep disturbance. For the factors most associated with sleep disturbance, we found no evidence of a threshold level of risk. Eighteen of the risk factors (21 if the three variables used to indicate data set were included) had independent associations with WHI IRS that were statistically significant at the P < 0.0001 level. The prediction of WHI

Conclusions

The strongest independent risk factors for sleep disturbance were depression, somatic symptoms, emotional well-being and restlessness. These characteristics do not have to reach the level of psychiatric disease to be associated with sleep disturbance. We cannot say whether these factors are primarily causes or consequences of sleep disturbance. In either case, the strong associations we demonstrated are important for understanding or managing sleep disturbance. Hopefully, they will be evaluated

Conflict of interest

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.2012.08.003.

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

Acknowledgements

The Women’s Health Initiative Study (WHI) is conducted and supported by the National Heart, Lung and Blood Institute (NHLBI) in collaboration with the WHI Investigators. This manuscript was prepared using a limited access data set obtained by the NHLBI and does not necessarily reflect the opinions or views of the WHI or the NHLBI. The research was supported in part by the Huntsman Cancer Foundation and the Beaumont Foundation.

References (73)

  • J.D. Curb et al.

    Outcomes ascertainment and adjudication methods in the Women’s Health Initiative

    Ann Epidemiol

    (2003)
  • T.J. Meyer et al.

    Development and validation of the penn state worry questionnaire

    Behav Res Ther

    (1990)
  • P.G. Williams et al.

    Individual differences in self-assessed health: gender, neuroticism and physical symptom reports

    Pers Indiv Differ

    (2000)
  • S. Coren

    Prediction of insomnia from arousability predisposition scores: scale development and cross-validation

    Behav Res Ther

    (1988)
  • T. Roth

    Insomnia: definition, prevalence, etiology, and consequences

    J Clin Sleep Med

    (2007)
  • C.H. Schenck et al.

    Assessment and management of insomnia

    JAMA

    (2003)
  • C.H. Bastien et al.

    Precipitating factors of insomnia

    Behav Sleep Med

    (2004)
  • C.L. Drake et al.

    Sleep reactivity and insomnia: genetic and environmental influences

    Sleep

    (2011)
  • D.J. Foley et al.

    Incidence and remission of insomnia among elderly adults: an epidemiologic study of 6800 persons over three years

    Sleep

    (1999)
  • D.J. Foley et al.

    Sleep complaints among elderly persons: an epidemiologic study of three communities

    Sleep

    (1995)
  • K. Kim et al.

    An epidemiological study of insomnia among the Japanese general population

    Sleep

    (2000)
  • T.J. Meyer

    Evaluation and management of insomnia

    Hosp Pract (Minneap)

    (1998)
  • A.K. Morin

    Strategies for treating chronic insomnia

    Am J Manag Care

    (2006)
  • L.A. Gellis et al.

    Socioeconomic status and insomnia

    J Abnorm Psychol

    (2005)
  • S.J. Paine et al.

    Who reports insomnia? Relationships with age, sex, ethnicity, and socioeconomic deprivation

    Sleep

    (2004)
  • J.K. Walsh

    Clinical and socioeconomic correlates of insomnia

    J Clin Psychiatry

    (2004)
  • F. Hohagen et al.

    Prevalence and treatment of insomnia in general practice. A longitudinal study

    Eur Arch Psychiatry Clin Neurosci

    (1993)
  • A.T. Beck et al.

    An inventory for measuring clinical anxiety: psychometric properties

    J Consult Clin Psychol

    (1988)
  • K. Morgan

    Daytime activity and risk factors for late-life insomnia

    J Sleep Res

    (2003)
  • J.L. Shaver et al.

    Stress exposure, psychological distress, and physiological stress activation in midlife women with insomnia

    Psychosom Med

    (2002)
  • M. Utsugi et al.

    Relationships of occupational stress to insomnia and short sleep in Japanese workers

    Sleep

    (2005)
  • S. Ancoli-Israel et al.

    Prevalence and comorbidity of insomnia and effect on functioning in elderly populations

    J Am Geriatr Soc

    (2005)
  • M.F. Ceolim et al.

    Sleep/wake cycle and physical activity in healthy elderly people

    Sleep Res Online

    (2000)
  • R.E. Cheek et al.

    Lifestyle practices and nocturnal sleep in midlife women with and without insomnia

    Biol Res Nurs

    (2004)
  • C.A. Patten et al.

    Depressive symptoms and cigarette smoking predict development and persistence of sleep problems in US adolescents

    Pediatrics

    (2000)
  • B.W. Riedel et al.

    The relation between smoking and sleep: the influence of smoking level, health, and psychological variables

    Behav Sleep Med

    (2004)
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