Elsevier

Behaviour Research and Therapy

Volume 97, October 2017, Pages 146-153
Behaviour Research and Therapy

Sleep disturbance as a predictor of affective functioning and symptom severity among individuals with PTSD: An ecological momentary assessment study

https://doi.org/10.1016/j.brat.2017.07.014Get rights and content

Highlights

  • Poor sleep quality and efficiency predicted increased daytime PTSD symptoms.

  • Poor sleep quality and efficiency predicted increased daytime negative affect.

  • Poor sleep quality predicted decreased daytime positive affect.

  • The effect of sleep quality on PTSD symptoms was mediated by negative affect.

  • Daytime PTSD symptoms only predicted nightmares.

Abstract

Recent research has highlighted the etiological role of sleep disturbance in posttraumatic stress disorder (PTSD); however it is currently unknown how daily changes in sleep are associated with next-day PTSD symptoms. Furthermore, sleep is critical for maintaining appropriate affect, leading some to hypothesize that affective dysfunction may account for the link between sleep disturbances and PTSD symptoms. Thus, the current study tested the relationship between sleep disturbances, affective valence, and PTSD symptoms utilizing an ecological momentary assessment (EMA) design among individuals with PTSD (n=30) who participated in 4 EMA-based assessments daily over 8 days. Multilevel modeling indicated that, after accounting for prior evening's PTSD symptoms, poor sleep quality and reduced sleep efficiency were associated with increased PTSD symptoms and negative affect. Furthermore, results supported the indirect effect of poor sleep quality on elevated PTSD symptoms through increased negative affect in the morning. Findings add to the body of research demonstrating the negative impact of poor sleep for individuals with PTSD by indicating that daily variations in sleep can affect next-day PTSD symptoms, and identifying negative affect as a mechanism of this relationship.

Section snippets

Participants

We recruited 30 participants diagnosed with PTSD according to the Structured Clinical Interview for DSM-V (SCID; First, Williams, Karg, & Spitzer, 2015). Participants were at least 18 years of age and were recruited from the local community (n=24, 80.0%) and the university's undergraduate student research pool (n=6, 20.0%). Participants were screened via phone or the university's research pool using the PTSD Checklist (Weathers, Litz, Herman, Huska, & Keane, 1993), and then scheduled for a

Data analytic plan

Multilevel modeling was used due to its ability to take into account nested data and missing data better than classical analyses used to analyze EMA studies (Schwartz & Stone, 1998). Analyses were conducted using MPlus Version 7.4 with full information maximum likelihood estimation using the robust estimator (Muthén & Muthén, 1998–2012). The models consisted of 3 levels with random effects: sessions nested within days nested within individuals. The models were estimated using an unstructured

Results

First, data were screened to confirm accurate data entry, assess for outliers, and evaluate skewness and kurtosis. Evaluation of ranges confirmed that the majority of responses were entered correctly. In three cases, participants entered numbers that were logically impossible (e.g., sleeping over 300 h in one night). Consistent with recommendations of Bell and Malacova (2004), these responses were omitted. No outliers were indicated that could potentially influence the models. Regarding missing

Discussion

The current study utilized EMA to evaluate relationships between sleep disturbance, PTSD symptoms, affect, and whether the relationships between sleep and PTSD symptoms can be accounted for by negative affect. Consistent with hypothesis, after accounting for prior evening's PTSD symptoms, poor sleep quality and efficiency were significantly associated with increased daytime PTSD symptoms. This is consistent with prior research (Short et al., 2014b, Wright et al., 2011), but we expand upon it by

Funding

This work was in part supported by the Military Suicide Research Consortium (MSRC), Department of Defense, and VISN 19 Mental Illness Research, Education, and Clinical Center (MIRECC) (Grant number is W81XWH-10-2-0181), but does not necessarily represent the views of the Department of Defense, Department of Veterans Affairs, or the United States Government. Support from the MSRC does not necessarily constitute or imply endorsement, sponsorship, or favoring of the study design, analysis, or

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