Literature DB >> 33410460

Longitudinal Association Between Depressive Symptoms and Multidimensional Sleep Health: The SWAN Sleep Study.

Marissa A Bowman1, Christopher E Kline2, Daniel J Buysse3, Howard M Kravitz4,5, Hadine Joffe6, Karen A Matthews3, Joyce T Bromberger7, Kathryn A Roecklein1, Robert T Krafty8, Martica H Hall3.   

Abstract

BACKGROUND: Depressive symptoms and sleep disturbances disproportionately affect midlife women. While there may be a bidirectional association, few studies have examined whether depressive symptoms are longitudinally associated with subsequent sleep. Sleep is typically considered unidimensional, despite emerging evidence that multidimensional sleep health provides novel information on the sleep-health link.
PURPOSE: The current study examined whether higher depressive symptoms were longitudinally associated with poorer multidimensional sleep health.
METHOD: Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale across six to nine annual assessments in 302 midlife women from the Study of Women's Health Across the Nation. Six months after their last assessment, actigraphy (mean ± standard deviation = 29.3 ± 6.9 days) and self-report were used to assess sleep health components: efficiency, duration, mid-sleep timing, regularity, alertness, and satisfaction, which were dichotomized and summed to create a composite multidimensional sleep health score. Mixed-effects models were used to evaluate the longitudinal associations between depressive symptoms and multidimensional sleep health, as well as individual sleep health components, adjusting for covariates. Exploratory analyses stratified models by race/ethnicity.
RESULTS: Higher depressive symptoms were associated with subsequent poorer multidimensional sleep health (p < .0.001) and lower alertness (p < .0001) and satisfaction with sleep (p < .0001).
CONCLUSIONS: Our finding that higher average depressive symptoms were associated longitudinally with actigraphy-measured poorer sleep health in midlife women is novel and converges with the larger body of evidence that these two common symptoms are strongly associated. The bidirectional relationship between these two prevalent symptoms needs to be studied in prospective longitudinal studies. © Society of Behavioral Medicine 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Actigraphy; Aging; Depression; Midlife; Sleep; Women

Mesh:

Year:  2021        PMID: 33410460      PMCID: PMC8240133          DOI: 10.1093/abm/kaaa107

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  44 in total

1.  Psychometric properties of the Centre for Epidemiologic Studies Depression Scale (CES-D) in a sample of women in middle life.

Authors:  R G Knight; S Williams; R McGee; S Olaman
Journal:  Behav Res Ther       Date:  1997-04

2.  An Aggregate Measure of Sleep Health Is Associated With Prevalent and Incident Clinically Significant Depression Symptoms Among Community-Dwelling Older Women.

Authors:  Ryuji Furihata; Martica H Hall; Katie L Stone; Sonia Ancoli-Israel; Stephen F Smagula; Jane A Cauley; Yoshitaka Kaneita; Makoto Uchiyama; Daniel J Buysse
Journal:  Sleep       Date:  2017-03-01       Impact factor: 5.849

3.  A comparison of rates of residual insomnia symptoms following pharmacotherapy or cognitive-behavioral therapy for major depressive disorder.

Authors:  Colleen E Carney; Zindel V Segal; Jack D Edinger; Andrew D Krystal
Journal:  J Clin Psychiatry       Date:  2007-02       Impact factor: 4.384

4.  The Pittsburgh Sleep Diary.

Authors: 
Journal:  J Sleep Res       Date:  1994-06       Impact factor: 3.981

5.  Cognitive behavioral therapy for insomnia enhances depression outcome in patients with comorbid major depressive disorder and insomnia.

Authors:  Rachel Manber; Jack D Edinger; Jenna L Gress; Melanie G San Pedro-Salcedo; Tracy F Kuo; Tasha Kalista
Journal:  Sleep       Date:  2008-04       Impact factor: 5.849

6.  Self-reported and measured sleep duration: how similar are they?

Authors:  Diane S Lauderdale; Kristen L Knutson; Lijing L Yan; Kiang Liu; Paul J Rathouz
Journal:  Epidemiology       Date:  2008-11       Impact factor: 4.822

7.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1991-12       Impact factor: 5.849

Review 8.  How might circadian rhythms control mood? Let me count the ways...

Authors:  Colleen A McClung
Journal:  Biol Psychiatry       Date:  2013-04-01       Impact factor: 13.382

9.  Similarities and differences in estimates of sleep duration by polysomnography, actigraphy, diary, and self-reported habitual sleep in a community sample.

Authors:  Karen A Matthews; Sanjay R Patel; Elizabeth J Pantesco; Daniel J Buysse; Thomas W Kamarck; Laisze Lee; Martica H Hall
Journal:  Sleep Health       Date:  2017-12-13

10.  Predictors of sleep quality in women in the menopausal transition.

Authors:  Grace W Pien; Mary D Sammel; Ellen W Freeman; Hui Lin; Tracey L DeBlasis
Journal:  Sleep       Date:  2008-07       Impact factor: 5.849

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  2 in total

1.  Disruption of Sleep Continuity During the Perimenopause: Associations with Female Reproductive Hormone Profiles.

Authors:  Jamie Coborn; Anouk de Wit; Sybil Crawford; Margo Nathan; Shadab Rahman; Lauren Finkelstein; Aleta Wiley; Hadine Joffe
Journal:  J Clin Endocrinol Metab       Date:  2022-09-28       Impact factor: 6.134

2.  Serial Mediation Roles of Perceived Stress and Depressive Symptoms in the Association Between Sleep Quality and Life Satisfaction Among Middle-Aged American Adults.

Authors:  Yanxu Yang; Yendelela L Cuffee; Betsy B Aumiller; Kathryn Schmitz; David M Almeida; Vernon M Chinchilli
Journal:  Front Psychol       Date:  2022-02-21
  2 in total

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