0785 Associations Between Circadian Preference And Sleep-related Thoughts: Data From The 2015 Sleep In America Poll

Abstract Introduction Evening types of sleep tend to have poorer sleep quality and sleep habits than morning types. Maladaptive beliefs or thoughts about sleep can affect one’s sleep and may differ between evening and morning types. We examined the association between the circadian preference and sleep-related thoughts in U.S adults. Methods A secondary analysis used survey data from the 2015 National Sleep Foundation’s Sleep in America Poll. Questions included normal bedtime and wake-up time for week/work days and weekend/non-work days. Circadian preference was determined by midpoint of sleep calculated as midpoint of sleep on weekends corrected for average nightly sleep duration. Participants were excluded if their sleep midpoint was from noon to midnight. Midpoint of sleep was divided into two groups using median split (“earlier” vs. “later”). Sleep-related thoughts were “worry about getting a good sleep”, “overwhelming thoughts about getting enough sleep”, “motivation to get sleep”, and “concern about serious physical consequences due to poor sleep”; responded often/always or extremely to somewhat for these items were coded as maladaptive. Logistic regression analysis controlling for socio-demographics, sleep duration, and sleep disturbance (PROMIS Scale; higher scores = greater sleep disturbance) was conducted to examine the relationships between midpoint of sleep and sleep-related thoughts. Results The sample (N = 1011) was primarily White (73.6%), male (50.9%), college educated (62.2%), married/partnered (67.6%) with a mean age of 51.65 ± 17.05 years. Mean midpoint of sleep in “earlier” type was 2:33AM and 5:29AM in “later” type. “Later” type had shorter sleep duration on weekdays and longer sleep duration on weekends than “earlier” type (p < .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p < .05) about sleep. In logistic models, midpoint of sleep was significant only for “concern” (p = .02). Conclusion In this study, late chronotype was associated with increased sleep disturbances and greater variability in sleep duration. The relationship between the timing of sleep and thoughts about the impact of impaired sleep remains unclear and an area for further study with objective measures. Support

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0926 Examining Sleep In Parents And Children With Behavioral Or Clinical Sleep Disturbances

SLEEP ◽

10.1093/sleep/zsaa056.922 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A352-A352

Author(s):

P Varma ◽

M L Jackson ◽

M Junge ◽

R Conduit

Keyword(s):

Sleep Quality ◽

Sleep Disturbance ◽

Sleep Disturbances ◽

Sleep Problems ◽

Poor Sleep ◽

Clinical Group ◽

Sleep Habits ◽

Parents And Children ◽

Sleep Arousal ◽

The Impact

Abstract Introduction Sleep problems, such as insomnia are frequently reported in children. These sleep disturbances have either a behavioral (e.g. difficulties initiating or maintaining sleep) or clinical etiology (e.g. autism, asthma and T1 diabetes). Unlike clinical populations, outcomes in parents of children with behavioral sleep problems are underexamined. This study aimed to examine sleep in parents and children with behavioral or clinical sleep disturbances. Methods 290 parents (parents Mage = 35.9±5.2y, children Mage = 4.1± 2.3y) were recruited. Child’s sleep was reported using Child’s sleep habits questionnaire (CSHQ). Parent sleep was assessed using Pittsburgh sleep quality index (PSQI), Pre-sleep arousal scale (PSAS), and Glasgow sleep effort scale (GSES). A demographic question on the nature of child’s sleep disturbance was used to categorize parents into a) behavioral (n=206) or b) clinical group (n=84). Results Overall, 71% of parents and 67% of children had clinically significant sleep disturbance (PSQI ≥ 5 and CSHQ ≥ 41 respectively). Significant associations were observed between CSHQ and a) PSQI (r=0.47, p<.001), b) GSES (r=0.21, p<.001), and c) PSAS (r=0.46, p<.001). Step-wise regression reported that CSHQ was the strongest predictor of PSQI, accounting for 22% variance in scores (p<.001), followed by PSAS (7%). Independent groups t-tests found no differences in parents’ sleep quality (p=.06) and pre-sleep arousal (p=.38) between clinical and behavioral groups. However, 47% of parents in the clinical group took longer than 30 minutes to fall asleep, as opposed to 30% of parents in behavioral group (t(289)=-2.39, p=.01). Conclusion Parents report having poor sleep irrespective of the nature of child’s sleep difficulties. It is possible that parents in the clinical group may underreport their sleep problems due to increased attention towards child’s symptoms and diagnosis. Nevertheless, if any sleep related issues occur in children, the impact on parental sleep should be considered during assessment. Support N/A

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0120 Association Between Sleep Duration and Daytime Memory and Cognition Depends on Sleep Quality: Data from the 2017 Israel Social Survey

SLEEP ◽

10.1093/sleep/zsaa056.118 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A47-A48

Author(s):

C C Wills ◽

E A Rosenberg ◽

M L Perlis ◽

S Parthasarathy ◽

S Chakravorty ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Disturbance ◽

Sleep Duration ◽

Quality Data ◽

Poor Sleep ◽

Israeli Population ◽

Long Sleep ◽

Cognitive Problems ◽

The Impact ◽

Sleep Difficulties

Abstract Introduction This study examines the relationship between sleep duration, sleep disturbance, and cognitive problems in a representative sample of the Israeli population. Methods 7,230 Israelis responded to an Israeli Bureau of Statistics population-based survey of households from the year 2017. All variables were self-reported. Outcome of interest was difficulty with memory/concentration (none, mild, or severe). Predictors included previous month sleep duration (<=5hrs, 6hrs, 7hrs [reference], 8hrs, or >=9hrs) and sleep disturbance (none [reference], mild [1/week], moderate [2–3/week], or severe [>3/week]). Covariates included age, sex, ethnic group, and financial status. Multinomial logistic regressions evaluated the relationships between variables, and post-hoc testing identified relationships within specific subgroups. Results 72.9% denied cognitive problems, 22.2% reported mild problems, and 4.9% severe problems. In adjusted analyses, Sleep <=5hrs and >=9hrs were associated with mild (RRR=1.39, p<0.0005), (RRR=1.46, p=0.004) and severe (RRR=2.75, p<0.0005), (RRR=3.24, p<0.0005) cognitive problems, respectively. Mild, moderate, and severe sleep difficulties were associated with mild cognitive problems (RRR=2.09, p<0.0005), (RRR=2.22, p<0.0005), (RRR=2.44, p<0.0005), and severe cognitive problems (RRR=1.77, p=0.001), (RRR=3.04, p<0.0005), (RRR=4.22, p<0.0005), respectively. There was an interaction between sleep duration and sleep difficulties (p<0.05). Among those denying sleep difficulties, only >=9hrs of sleep was associated with cognitive problems. Among those with mild, moderate, and severe sleep difficulties, both short and long sleep were associated with cognitive problems. Conclusion In an Israeli population sample, both sleep duration and quality were associated with cognitive problems. Among those with sleep difficulties, short and long sleep duration were associated with cognitive problems, but among those denying sleep difficulties, only long sleep was associated with cognitive problems. These results suggest that the impact of sleep loss on real-world cognition may also rely on the presence of poor sleep quality. Support Dr. Grandner is supported by R01MD011600

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Short sleep duration and poor sleep quality among migraineurs: A population-based study

Cephalalgia ◽

10.1177/0333102417716936 ◽

2017 ◽

Vol 38 (5) ◽

pp. 855-864 ◽

Cited By ~ 15

Author(s):

Tae-Jin Song ◽

Chang-Ho Yun ◽

Soo-Jin Cho ◽

Won-Joo Kim ◽

Kwang Ik Yang ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Sleep Disturbances ◽

Population Based ◽

Poor Sleep ◽

Headache Frequency ◽

Poor Sleep Quality ◽

Short Sleep Duration ◽

Short Sleep ◽

The Impact

Background Sleep disturbances are closely related to migraine. Nevertheless, information regarding the impact of short sleep duration and poor sleep quality on the clinical presentation of migraine at population level is limited. Methods This study was a nationwide population-based survey on adults aged 19–69 years. Headache frequency (attacks/month) and intensity (visual analogue scale, 0–10) were documented. Short sleep duration and poor sleep quality were defined as average sleep duration <6 h/day and Pittsburgh Sleep Quality Index score >5, respectively. The association of sleep parameters with headache frequency and intensity was analysed among migraineurs. Results Of 2695 participants, 143 (5.3%) had migraine. Headache frequency was significantly higher among migraineurs with short sleep duration (2.0 [1.0–12.0] vs. 1.0 [0.3–4.0], p = 0.048) and poor sleep quality (2.0 [0.6–4.7] vs. 1.0 [0.2–3.0], p = 0.009) than among those without. However, headache intensity was similar between migraineurs with short sleep duration and poor sleep quality. Multiple linear regression analyses revealed that short sleep duration was a significant contributing factor for headache frequency (β = 0.210, p = 0.015). Conclusions Self-reported short sleep duration (<6 h per day) is associated with an increased headache frequency among migraineurs in a population-based setting.

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631 Sleep SMART in Adolescents with Neurodevelopmental Disorders

SLEEP ◽

10.1093/sleep/zsab072.629 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A247-A248

Author(s):

Alyson Hanish ◽

Abbey Jo Klein ◽

Therese Mathews ◽

Ann Berger ◽

Kevin Kupzyk ◽

...

Keyword(s):

Sleep Disturbance ◽

Neurodevelopmental Disorders ◽

Sleep Disturbances ◽

Immediate Release ◽

Sleep Time ◽

Normative Values ◽

Exogenous Melatonin ◽

Contingency Contracting ◽

Sleep Questionnaires ◽

The Impact

Abstract Introduction: Introduction Sleep disturbances are common in adolescents with neurodevelopmental disorders (NDDs). Inclusion of vulnerable populations such as adolescents with NDDs into sleep intervention efforts is essential as they are at high-risk for poor physical/mental health outcomes. The objective of this study is to pilot a sequential, multiple assignment, randomized trial (SMART) design to compare the impact of a sequence of sleep interventions, based on treatment response, to optimize sleep health in adolescents with NDDs. Methods: Methods Recruitment began June 2019 using convenience sampling. The SMART pilot feasibility study includes 1-week of baseline sleep data, and two 4-week periods of a sleep intervention (9-week total study enrollment). Interventions include exogenous melatonin, The Bedtime Bank, and their combination. Exogenous melatonin (liquid, immediate release, 3mg) is administered 30 minutes before bedtime. The Bedtime Bank, a behavioral sleep intervention, is based upon contingency contracting that relies on a credit- or debt-based system to hold adolescents accountable for maintaining a consistent bedtime. At baseline participants completed demographics, PROMIS pediatric sleep questionnaires, the Cleveland Adolescent Sleepiness Questionnaire (CASQ), salivary & urinary endogenous melatonin measurement, and one week of actigraphy. Upon enrollment, participants were randomly assigned to either melatonin or The Bedtime Bank. Participants who respond (nightly increase in total sleep time (TST) ≥18 minutes) remain on the assigned intervention; if non-responsive participants are re-randomized to a different sleep intervention or combination. Results: Results At baseline, participants (n=29, aged 10–18 years) had an average TST of 7 hours 11 minutes. PROMIS Sleep Disturbance (M=64.3, SE=2.5), PROMIS Sleep-Related Impairment scores (M=58.9, SE=2.2), and CASQ scores (M=40.0, SD= 10.5) were higher than reported normative values. Salivary DLMO & urinary 6-sulfatoyxmelatonin analysis is ongoing. For participants who completed the full 9-week trial, nearly 30% (n=7/24) were responsive (increased baseline TST ≥18 minutes) to one of the 4-week interventions. Conclusion: Conclusion Baseline data of the enrolled participants demonstrates poor indicators of TST, sleep disturbance, and sleep related impairment. Preliminary results of this SMART indicate some adolescents are responsive to sleep interventions aimed to improve their TST. Support (if any) Support: This clinical trial is funded by the National Institute of Nursing Research, National Institutes of Health (1K01NR017465-01A1).

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534 Food Insecurity and Sleep Health by Race/Ethnicity and Age Group in the United States

SLEEP ◽

10.1093/sleep/zsab072.532 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A211-A211

Author(s):

Nyree Riley ◽

Dana Alhasan ◽

W Braxton Jackson ◽

Chandra Jackson

Keyword(s):

Food Security ◽

Food Insecurity ◽

Sleep Duration ◽

Sleep Disturbances ◽

The United States ◽

Poor Sleep ◽

High Food ◽

Short Sleep Duration ◽

Sleep Health ◽

Falling Asleep

Abstract Introduction Food insecurity may influence sleep through poor mental health (e.g., depression) and immune system suppression. Although prior studies have found food insecurity to be associated with poor sleep, few studies have investigated the food security-sleep association among racially/ethnically diverse participants and with multiple sleep dimensions. Methods Using National Health Interview Survey data, we examined overall, age-, sex/gender-, and racial/ethnic-specific associations between food insecurity and sleep health. Food security was categorized as very low, low, marginal, and high. Sleep duration was categorized as very short (<6 hours), short (<7 hours), recommended (7–9 hours), and long (≥9 hours). Sleep disturbances included trouble falling and staying asleep, insomnia symptoms, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CI) for sleep dimensions by very low, low, and marginal vs. high food security. Results The 177,435 participants’ mean age was 47.2±0.1 years, 52.0% were women, 68.4% were Non-Hispanic (NH)-White. Among individuals reporting very low food security, 75.4% had an annual income of <$35,000 and 60.3% were ≥50 years old. After adjustment, very low vs. high food security was associated with a higher prevalence of very short (PR=2.61 [95%CI: 2.44–2.80]) and short (PR=1.66 [95% CI: 1.60–1.72]) sleep duration. Very low vs. high food security was associated with both trouble falling asleep (PR=2.21 [95% CI: 2.12–2.30]) and trouble staying asleep (PR=1.98 [95% CI: 1.91–2.06]). Very low vs. high food security was associated with higher prevalence of very short sleep duration among Asians (PR=3.64 [95% CI: 2.67–4.97]), Whites (PR=2.73 [95% CI: 2.50–2.99]), Blacks (PR=2.03 [95% CI: 1.80–2.31]), and Hispanic/Latinxs (PR=2.65 [95% CI: 2.30–3.07]). Conclusion Food insecurity was associated with poor sleep in a diverse sample of the US population. Support (if any):

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The Association of Unreported Sleep Disturbances and Systemic Inflammation: Findings from the 2005-2008 NHANES

Sleep Disorders ◽

10.1155/2018/5987064 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8

Author(s):

Jeff A. Dennis ◽

Ahmad Alazzeh ◽

Ann Marie Kumfer ◽

Rebecca McDonald-Thomas ◽

Alan N. Peiris

Keyword(s):

Sleep Apnea ◽

Sleep Disturbance ◽

Sleep Disorders ◽

Sleep Disorder ◽

Inflammatory Markers ◽

Sleep Disturbances ◽

Laboratory Data ◽

Poor Sleep ◽

Distribution Width ◽

Inflammatory Status

Background/Objective. Sleep apnea is associated with elevated inflammatory markers. A subgroup of patients never report sleep disturbances to their physician. The inflammatory status of this subgroup is not known. The present study aims to evaluate two inflammatory markers, C-reactive protein (CRP) and red cell distribution width (RDW), in those with unreported sleep disturbances and compares these findings to those with and without reported sleep disorders. We also investigate the utility of RDW as an inflammatory marker in sleep disorders. Methods. Sample includes 9,901 noninstitutionalized, civilian, nonpregnant adults from the 2005-2008 National Health and Nutrition Examination Survey, a nationally representative, cross-sectional U.S. study. Sleep questionnaire and laboratory data were used to compare inflammatory markers (CRP and RDW) in five subgroups of individuals: reporting physician-diagnosed sleep apnea, reporting another physician-diagnosed sleep disorder, reported sleep disturbance to physician with no resulting diagnosis, unreported sleep disturbance (poor sleep quality not reported to physician), and no diagnosed sleep disorder or sleep disturbance. Results. Individuals with unreported sleep disturbance had significantly higher odds of elevated RDW (>13.6%) when compared to those without a sleep disturbance in adjusted models (OR=1.33). Those with unreported sleep disturbance had significantly higher odds of elevated CRP levels (>1 mg/L) than those without sleep disturbances (OR 1.34), although the association was not significant when adjusted for obesity and other controls. Conclusion. Self-identified unreported sleep disturbances are associated with significantly higher odds of elevated RDW than those without sleep disturbances. RDW may serve as a valuable indicator in identifying individuals at higher risk for sleep apnea and other sleep disorders.

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Comparing the Effects of FIFO/DIDO Workers Being Home versus Away on Sleep and Loneliness for Partners of Australian Mining Workers

Clocks & Sleep ◽

10.3390/clockssleep2010009 ◽

2020 ◽

Vol 2 (1) ◽

pp. 86-98

Author(s):

Kerrie-ann I. Wilson ◽

Sally A. Ferguson ◽

Amanda Rebar ◽

Kristie-Lee Alfrey ◽

Grace E. Vincent

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Adverse Outcomes ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Insufficient Sleep ◽

Work Arrangements ◽

Excessive Sleepiness ◽

The Impact ◽

At Home

Fly in Fly out/Drive in Drive out (FIFO/DIDO) is a prevalent work arrangement in the Australian mining industry and has been associated with adverse outcomes such as psychological stress, sleep disturbances, fatigue, and work/life interference. FIFO/DIDO work arrangements have the potential to not only impact the FIFO/DIDO worker, but also the partner of the FIFO/DIDO worker. However, there is sparse empirical evidence on the impact of FIFO/DIDO work arrangements on partners’ sleep and subsequent performance. Therefore, the primary aim of this study was to describe and compare partners’ sleep quality, sleep duration, sleepiness, and loneliness when the FIFO/DIDO workers were at home (off-shift) and away (on-shift). A secondary aim of this study was to examine whether differences in partners’ sleep quality and sleep duration as a result of FIFO/DIDO worker’s absence could be partially explained through the presence of dependents in the home, relationship duration, chronotype, duration in a FIFO/DIDO role, and loneliness. Self-reported questionnaires were completed by 195 female and 4 male participants, mostly aged between 18 and 44 years and who had been in a relationship with a FIFO/DIDO mining worker for more than five years. Of note, most participants subjectively reported poor sleep quality, insufficient sleep duration, excessive sleepiness, and moderate to extreme loneliness compared to the general population regardless of whether the FIFO/DIDO workers were at home or away. Compared to when the FIFO/DIDO workers were at home, partners experienced reduced sleep quality and increased loneliness when the FIFO/DIDO workers were away. Secondary analyses revealed that loneliness may partially underpin the negative effect that FIFO/DIDO workers’ absence has on sleep quality. Further research is needed to understand the factors that contribute to poor sleep quality, insufficient sleep duration, excessive sleepiness, and loneliness of FIFO/DIDO partners to inform appropriate strategies to support FIFO/DIDO partners’ health and wellbeing not only in the mining population, but other industries that incorporate similar FIFO/DIDO work arrangements (e.g., emergency services, offshore drilling, and transport).

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The impact of sleep disturbances on care home residents with dementia: the SIESTA qualitative study

International Psychogeriatrics ◽

10.1017/s1041610220000642 ◽

2020 ◽

Vol 32 (7) ◽

pp. 839-847

Author(s):

Lucy Webster ◽

Kingsley Powell ◽

Sergi G. Costafreda ◽

Gill Livingston

Keyword(s):

Qualitative Study ◽

Sleep Disturbance ◽

Sleep Disturbances ◽

Care Home ◽

Well Being ◽

Structured Interviews ◽

Topic Guide ◽

Disturbed Sleep ◽

Risk Of Falls ◽

The Impact

ABSTRACTObjectives:Nearly 40% of care home residents who are living with dementia also have symptoms of disturbed sleep. However, the impact of these disturbances is relatively unknown and is needed to indicate whether interventions are warranted; therefore, we aimed to investigate the impact.Design:One-to-one semi-structured interviews.Settings:Four UK care homes.Participants:We interviewed 18 nurses and care assistants about residents with sleep disturbances.Measurements:We used a topic guide to explore staff experience of sleep disturbance in residents with dementia. The interviews were audio recorded and transcribed and then analyzed thematically by two researchers independently.Results:Staff described that sleep disturbances in most, but not all, residents impacted negatively on the resident, other residents, staff, and relatives. Residents became more irritable or agitated if they had slept badly. They slept in the daytime after a bad night, which then increased their chances of being awake the following night. For some, being sleepy in the day led to falls, missing medication, drinks, and meals. Staff perceived hypnotics as having low efficacy, but increasing the risk of falls and drowsiness. Other residents were disturbed by noise, and staff described stress when several residents had sleep disturbance. Some of the strategies reported by staff to deal with sleep disturbances such as feeding or providing caffeinated tea at night might be counterproductive.Conclusions:Sleep disturbances in care home residents living with dementia negatively affect their physical and psychological well-being. These disturbances also disturb other residents and increase stress in staff.

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0404 Jewish-Arab Disparities in Sleep Behaviors and Differential Ethnic Impact on Daytime Functioning, Driving Safety, and Health in Israel

SLEEP ◽

10.1093/sleep/zsaa056.401 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A154-A155

Author(s):

E Rosenberg ◽

M L Perlis ◽

S Parthasarathy ◽

G Jean-Louis ◽

S Chakravorty ◽

...

Keyword(s):

Sleep Disturbance ◽

Sleep Duration ◽

Functional Impairment ◽

Motor Vehicle ◽

Health And Safety ◽

Population Based ◽

Driving Safety ◽

Drowsy Driving ◽

The Impact ◽

Sleep Difficulties

Abstract Introduction In Israel, those with Arabic as compared to Jewish ethnicity, exhibit poorer health and motor vehicle safety behaviors. Their ethnic differences in sleep duration and quality may modulate their vulnerabilities to these behaviors. Methods 7,230 Israeli individuals (N=5,880 Jewish and N=1350 Arabic) responded to the 2017 Israeli Bureau of Statistics population-based survey of households. Variables were self-reported. Outcomes included sleepiness, sleep medications, functional impairment, drowsy driving, overall health, 1-year health change, and obesity. Predictors included categorical sleep duration (<=5, 6, 7, 8 [reference], or >=9 hours) and sleep disturbance in the past month (none [reference], mild [1/week], moderate [2-3/week], or severe [>3/week]). Covariates included age, sex, and financial status. Ethnicity (Jewish/Arabic) was treated as a predictor of sleep and behavioral outcomes. Results When compared to normal (8-hour) sleepers, Jewish as compared to Arabic individuals were more likely to to sleep <=5h (RRR=3.99, p<0.0005), 6h (RRR=4.65, p<0.0005), and 7h (RRR=3.34, p<0.0005), and were more likely to report severe sleep difficulties (RRR=1.49, p<0.0005) and sleepiness (oOR=1.52, p< 0.0005). Yet, they were less likely to report functional impairment (oOR=0.65, p<0.0005), drowsy driving (OR=0.58, p<0.0005), worse health (oOR=0.51, p<0005), worsening health (oOR=0.70, p<0.0005), or obesity (OR=0.64, p<0.0005). Significant ethnicity by sleep duration interactions (p<0.05) characterized sleepiness, sleep medications, functional impairment, health, and health change. Moreover, significant ethnicity by sleep disturbance interactions (p<0.05) characterized the same outcomes, in addition to drowsy driving. Overall, the impact of sleep duration and sleep difficulties was generally greater among Arabs for all variables. Conclusion Despite Jewish individuals endorsing relatively shorter sleep and more severe sleep difficulties, Arabs seem to be more vulnerable to the health and functional outcomes. This finding may explain some of the discrepancies in the health and safety outcomes between these ethnic groups. Support Dr. Grandner is supported by R01MD011600

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A-130 An Exploratory Analysis of the Impact PTSD Related Sleep Disturbance has on Language Generativity in Veterans with mTBI

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acaa068.130 ◽

2020 ◽

Vol 35 (6) ◽

pp. 923-923

Author(s):

Walker N ◽

Scott T ◽

Spellman J ◽

Rivera J ◽

Waltzman D ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Disturbance ◽

Verbal Fluency ◽

Sleep Disturbances ◽

Self Report ◽

Analysis Of Covariance ◽

Ptsd Symptoms ◽

History Of ◽

The Impact ◽

The Relationship

Abstract Objective Reviewed literature suggests that individuals with Posttraumatic Stress Disorder (PTSD) demonstrate cognitive deficits in attention, learning/memory, and executive functions. Less is known regarding the relationship between sleep disturbance and language abilities among individuals with PTSD. We hypothesized that subjective perceptions of PTSD-related sleep disturbance would impact language generativity in Veterans with PTSD. Methods 38 individuals (mean age = 46.58, SD = 13.55; 10% female) were administered a brief neurocognitive battery including measures of verbal generativity [i.e., Delis-Kaplan Executive Function System: Verbal fluency subtest], PTSD symptoms (i.e., clinically significant PTSD = > 35 on the PTSD Checklist for DSM-IV), self-report measures of sleep quality (Pittsburgh Sleep Quality Inventory; PSQI), and PTSD-related sleep disturbances (PSQI – Addendum for PTSD). All participants had a history of mild traumatic brain injury (mTBI). An analysis of covariance was used to assess the contribution of PTSD-related sleep disturbance on verbal fluency in Veterans with PTSD. Post-hoc analyses were conducted. Results Those without PTSD performed better on letter fluency than those with PTSD (p=.019). There was no significant effect of PTSD (presence or absence) on letter fluency performance after controlling for subjective sleep quality, F(1, 35) = 1.43, p = .239. Follow up analyses failed to show any associations between PTSD and other cognitive measures. Conclusions PTSD related sleep disturbance accounts for a significant portion of the variance in the relationship between PTSD and verbal generativity. Individuals with a history of mTBI and current PTSD symptoms, may have worse verbal generativity but is partially accounted for by PTSD related sleep disturbance.

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