Published on 22.10.18 in Vol 7, No 10 (2018): October
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/11295, first published Jun 14, 2018.
Unraveling the Biopsychosocial Factors of Fatigue and Sleep Problems After Traumatic Brain Injury: Protocol for a Multicenter Longitudinal Cohort Study
Background: Fatigue and sleep problems are common after a traumatic brain injury (TBI) and are experienced as highly distressing symptoms, playing a significant role in the recovery trajectory, and they can drastically impact the quality of life and societal participation of the patient and their family and friends. However, the etiology and development of these symptoms are still uncertain.
Objective: The aim of this study is to examine the development of fatigue and sleep problems following moderate to severe TBI and to explore the changes in underlying biological (pain, brain damage), psychological (emotional state), and social (support family, participation) factors across time.
Methods: This study is a longitudinal multicenter observational cohort study with 4 measurement points (3, 6, 12, and 18 months postinjury) including subjective questionnaires and cognitive tasks, preceded by 7 nights of actigraphy combined with a sleep diary. Recruitment of 137 moderate to severe TBI patients presenting at emergency and neurology departments or rehabilitation centers across the Netherlands is anticipated. The evolution of fatigue and sleep problems following TBI and their association with possible underlying biological (pain, brain damage), psychological (emotional state), and social (support family, participation) factors will be examined.
Results: Recruitment of participants for this longitudinal cohort study started in October 2017, and the enrollment of participants is ongoing. The first results are expected at the end of 2020.
Conclusions: To the authors’ knowledge, this is the first study that examines the development of both post-TBI fatigue and sleep longitudinally within a biopsychosocial model in moderate to severe TBI using both subjective and objective measures. Identification of modifiable factors such as mood and psychosocial stressors may give direction to the development of interventions for fatigue and sleep problems post-TBI.
Trial Registration: Netherlands Trial Register NTR7162; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=7162 (Archived by WebCite at http://www.webcitation.org/6z3mvNLuy)
International Registered Report Identifier (IRRID): RR1-10.2196/11295
JMIR Res Protoc 2018;7(10):e11295
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Traumatic brain injury (TBI) is one of the most serious, disabling neurological disorders, with 10 million patients affected annually worldwide . Consequently, societal costs are high and estimated to be around €33 billion in Europe [ ]. TBIs appear on a spectrum of injury severity based on widely recognized injury characteristics. The more frequent mild TBIs are considered as trivial and benign injuries as opposed to less prevalent moderate to severe injuries, which are associated with long-lasting consequences for the patients and their environment [ ]. Due to the high individual and societal costs associated with extensive rehabilitation needs and chronic disability, moderate to severe TBI represents a critical public health issue [ ], with fatigue and sleep problems playing significant roles in the recovery process [ , ]. Between 30% and 70% of the patients experience fatigue [ ], and a meta-analysis indicated that 53% experience sleep problems [ ].
Study results concerning the presence of fatigue and type of sleep problems post-TBI are inconsistent, probably due to different study methodologies. Patients are included at different time points since their injuries and injury severity parameters differ across studies, measurement instruments are diverse, and there is limited consensus on what variables at which moment in time should be measured . In addition, most studies are cross-sectional and not longitudinal in terms of design. This makes it difficult to compare results across studies and to draw conclusions about sleep and fatigue changes after TBI [ , ]. Nevertheless, post-TBI sleep problems and fatigue are often consistently experienced as the most severe and distressing symptoms [ ], interfering with recovery and rehabilitation treatment and negatively impacting the quality of life [ ]. Furthermore, despite the magnitude and impact of these phenomena, the etiology is still debated and no efficacious treatments have been established [ ].
Recovery from moderate to severe TBI is a time-consuming and long-term process and should, therefore, be explained in terms of a disease process. Accordingly, different factors may be involved in fatigue and sleep problems at different stages after the injury [, ]. By exploring the underlying causes of fatigue and sleep problems and how these symptoms develop over time, key periods may be identified in which specific targeted interventions are needed. The outcome and prognosis following TBI are extremely variable across individuals regardless of the severity of the initial injury [ ], which implies that outcome is not only influenced by biological factors but should be studied in a biopsychosocial model in which physical, cognitive, affective, and social factors interact with sleep-wake patterns and fatigue [ , , , ]. Previous research has already shown the involvement of biological factors (eg, structural changes in the brain [ ] and pain [ ]) and psychological (eg, emotional distress [ , ]) and social components (eg, community integration and social support [ , ]) in fatigue and sleep problems following TBI. These factors are also involved in sleep and fatigue in other chronic diseases such as cancer, multiple sclerosis, and diabetes [ ]. However, no studies, to the authors’ knowledge, have yet examined these biopsychosocial factors in a comprehensive model over time to determine the significant underlying factors that contribute to post-TBI fatigue and sleep problems. Understanding these complex interactions is crucial to establish, explain, and treat fatigue and sleep problems associated with TBI. Therefore, this study proposes a biopsychosocial explanation of post-TBI fatigue and sleep problems.
The aim of the study is to examine the development of post-TBI fatigue and sleep problems longitudinally within a biopsychosocial model including several factors in moderate to severe TBI. The primary focus of the study will be on subjective fatigue and sleep problems post-TBI. We hypothesize that the associations between biopsychosocial factors and post-TBI fatigue and sleep problems change over time, that is, the associations with biological factors are strongest in the first 6 months and then decline, whereas the associations with psychological and social factors are initially weak but slowly increase and become apparent between 12 and 18 months. Previous research has shown a discrepancy between objective and subjective measures of fatigue and sleep in the TBI population [, ]. Therefore, the secondary aim of the study is to examine the development of post-TBI fatigue and sleep problems with objective measures within a biopsychosocial model. In this paper, the design of the study will be presented.
This study is a multicenter, observational, prospective longitudinal cohort study in which participants are followed using 5 assessments during the first 18 months following moderate to severe TBI. The Medical Ethics Committee of University Hospital Maastricht/Maastricht University (NL60322.068.17) and all participating centers approved the study protocol. The study is registered in the Dutch Trial Register (NTR67162, registered on April 10, 2018).
Moderate to severe TBI patients are being recruited from emergency, neurology, and rehabilitation departments in several hospitals and rehabilitation clinics across the Netherlands. On the basis of a linear mixed regression analysis with a medium effect size (F2=0.15), 7 significant predictors, a statistical power of 0.8, alpha level of .05, and a high test-retest reliability of at least 0.8 of the main study variables, the required sample is 103 TBI patients . A dropout of 25% during the 18-month follow-up is expected based on previous studies [ , ]. Therefore, 137 patients will be recruited to lead to a total of 103 TBI patients being available for the analyses.
Inclusion and Exclusion Criteria
TBI patients are eligible to participate in this study if they have a clinically confirmed diagnosis of a first moderate to severe, closed-head TBI, which is defined as Glasgow Coma Scale score<13 ; post-traumatic amnesia (PTA)>24 hours; trauma-related intracranial neuroimaging abnormalities; or loss of consciousness (LOC)>30 min [ ]. In addition, participants must be aged between 21 and 70 years, fluent in Dutch, and provide informed consent.
Participants are excluded if they (1) had a prior moderate to severe TBI diagnosed by a neurologist or a mild concussion in the last half year; (2) have another condition that may interfere with the study outcome (eg, other pre-existing neurological disorder [stroke, brain tumor, etc], sleep-wake disturbance, fatigue due to any medical condition other than TBI, history of alcohol or drug abuse, prior mental disorder [for which treatment was necessary], or pregnancy); or (3) lack the ability to complete questionnaires based on clinical judgment (aphasia, severe cognitive impairment).
Participants meeting the following criteria are excluded during the study: (1) participant wants to leave the study or (2) there is a new incidence of TBI, other neurological disease/injury, or traumatic injury during the follow-up period.
Patients are informed about the study by their treating physician (eg, neurologist, head nurse, or rehabilitation specialist). If the patient is interested in participating, a screening visit within the first 6 weeks after injury is done by the researcher, during which the informed consent is signed (if the patient is eligible and decides to participate). During this visit, demographics and preinjury characteristics are collected.
The follow-up appointments take place at approximately 3 months (V1), 6 months (V2), 12 months (V3), and 18 months (V4) postinjury, within 2 weeks before or after the exact follow-up date (ie, time window of 1 month). These visits consist of filling out questionnaires and performing cognitive tasks and can take place at Maastricht University, one of the participating clinical institutes, or the home of the participant. The visit will be guided by the researcher or a research assistant and are always scheduled between 11:00 am and 3:00 pm to minimize effects of the circadian rhythm . In the week before these visits, the participant will wear an actigraph and fill out a sleep diary for 7 days at home (daily living). A reminder phone call is given at the start of the registration period, and during the 7 days, we will phone the participants twice to remind them. With the participant’s permission, partners or family members of the participant are informed about the study to monitor whether the actigraph is worn. Participants receive 10 euros for each follow-up visit, and their travel expenses are reimbursed.
The main outcomes are fatigue and sleep. The primary focus of this study is on subjective level of fatigue and sleep problems, affecting the quality of sleep, to address the experience of these problems by TBI patients. The relation over time between subjective fatigue and sleep and the biopsychosocial predictors shown inwill be examined. Second, the relation between objective fatigue and sleep measurements and the biopsychosocial predictors will be examined. An overview of all measurement instruments that are administered during the 18-month follow-up is shown in . The questionnaires are implemented in an online format, except for the demographic questionnaire, which is in an interview style. All questionnaires included in this study have good psychometric properties and have been used in the TBI population before.
Primary Outcome Measures
Subjective fatigue is measured with the Fatigue Severity Scale (FSS) . The FSS is widely used, and it measures the impact of fatigue on activities of daily life and distress caused by fatigue; it includes 9 items related to fatigue, which are rated on a 7-point Likert scale. The mean score of the FSS is calculated and ranges from 1 to 7, where a higher score denotes more severe fatigue and a mean score of 4 or higher indicates severe fatigue [ ]. The internal consistency is high [ ], test-retest reliability is satisfactory, and the FSS can distinguish fatigue in brain-injured patients from that of controls [ ].
Subjective sleep quality is assessed with the Pittsburgh Sleep Quality Index (PSQI) . The PSQI consists of 19 items and examines 7 components, namely, overall sleep quality, sleep onset latency, total sleep time, sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. The global score is calculated by adding the 7 component scores and ranges from 0 to 21, where a lower score denotes better sleep quality. The questionnaire can discriminate between “good” and “poor” sleepers, with a global score of >5 indicating poor sleep quality [ ]. The internal consistency and test-retest reliability of the PSQI are high, and the PSQI has good concurrent validity with sleep diary data [ ]. The Dutch version of the PSQI has been used to examine sleep quality in acquired brain injury patients [ ].
The development of sleep and fatigue is examined with a biopsychosocial model. Therefore, the factors taken into account as predictors can be divided in biological (eg, structural changes in the brain and pain), psychological (eg, emotional distress and the burden of cognitive impairments), and social components (eg, community integration and social support).
The general level of pain is measured with a 100-mm visual analog scale . The left end of the VAS represented “no pain” and the right end represented “most severe pain imaginable” with no intermediate divisions or descriptive terms [ ]. The score ranges from 0 to 10, where a higher score indicates more severe pain. Pain intensity in the last 24 hours is measured. The VAS is widely used to measure pain in TBI patients [ ], and it is suggested as a valid and reliable measure [ ].
|Parameter||Instrument||Screening (<6 weeks)||3 months||6 months||12 months||18 months|
|Main outcome parameters|
|Subjective fatigue||Fatigue Severity Scale ||—||✓||✓||✓||✓|
|Subjective sleep quality||Pittsburgh Sleep Quality Index ||—||✓||✓||✓||✓|
|Pain (subjective)||Visual analogue scale pain ||—||✓||✓||✓||✓|
|Objective cognitive performance||Stroop, COWATa, digit span, SDMTb ||—||✓||✓||✓||✓|
|Physical activity||7 days actigraphy ||—||✓||✓||✓||✓|
|Emotional distress||Hospital anxiety and depression scale ||—||✓||✓||✓||✓|
|Cognitive complaints||Dysexecutive Questionnaire Revised ||—||✓||✓||✓||✓|
|Participation||Utrecht Scale for Evaluation and Rehabilitation-Participation ||—||✓||✓||✓||✓|
|Social support||Multidimensional Scale of Perceived Social Support ||—||✓||✓||✓||✓|
|Secondary outcome parameters|
|Objective sleep wake disturbances||7-days actigraphy ||—||✓||✓||✓||✓|
|Objective fatigue||Psychomotor vigilance task ||—||✓||✓||✓||✓|
|Group characteristics and monitor the participants|
|TBI characteristics||Injury severity such as structural imaging data, LOCc, PTAd, injury severity score; causes of injury; comorbid (physical) injuries, seizures; drug or alcohol intoxication during injury from the hospital database.||✓||—||—||—||—|
|Demographics||Age, gender, education, marital status, and work status||✓||—||—||—||—|
|Premorbid sleep||Premorbid question of PSQIe ||✓||—||—||—||—|
|Premorbid participation||Premorbid frequency and satisfaction of the USER-Pf ||✓||—||—||—||—|
|Daytime sleepiness||Epworth Sleepiness Scale ||—||✓||✓||✓||✓|
|Multidimensional aspects of fatigue||Dutch Multi-Factor Fatigue Scale ||—||✓||✓||✓||✓|
|Subjective sleep-wake||7 days sleep diary ||—||✓||✓||✓||✓|
|Posttraumatic stress disorders||PTSDg checklist for DSM-5 ||—||—||✓||—||✓|
|Coping style||Proactive and passive coping scale of the Utrecht Coping List ||—||✓||—||—||✓|
|Drugs/alcohol/medication use||Demographic questionnaire||✓||✓||✓||✓||✓|
|Sleepiness preceding the task||Karolinska sleepiness scale ||—||✓||✓||✓||✓|
aCOWAT: controlled word association test.
bSDMT: symbol digit modalities test.
cLOC: loss of consciousness.
dPTA: posttraumatic amnesia.
ePSQI: Pittsburgh Sleep Quality Index.
fUSER-P: Utrecht Scale for Evaluation and Rehabilitation-Participation.
gPTSD: posttraumatic stress disorder.
A short test battery is used to assess cognitive performance. The extent to which cognitive functioning is affected is used as a proxy for the severity of the brain damage . Cognitive tasks include measurements of speed, attention, interference, and executive functioning. The following 4 tasks are included, and the first 3 tasks are recommended as outcome measures in TBI research to measure neuropsychological impairments [ ]:
- Stroop task measures response interference control, a cognitive form of inhibition/flexibility and selective attention [ ]. Previous studies showed inhibition deficits following TBI and a slower response time [ ]. The stroop has good psychometric properties [ ].
- Controlled oral word association test (COWAT) [ ] is a verbal fluency test, which measures the spontaneous production of words belonging to a specific category or a designated letter. This test measures attentional control, working memory, and other components of executive functioning. Focal frontal injuries following TBI show a strong association with performance on the COWAT [ ]. COWAT is a reliable measure and is sensitive to TBI severity [ ].
- Digit span is a working memory task that assesses auditory attention. Both the forward and the backward order are used. The digit backward order is especially informative for working memory. This task has been used as a marker of cognitive deficit and recovery and has a high reliability [ ].
- Symbol digit modalities test (SDMT) is a cognitive test that measures attention and processing speed. The SDMT is sensitive to impairments of speed of information processing following TBI [ ] and is a reliable measure [ ].
Daytime levels of physical activity are examined with actigraphy, which is a noninvasive method to monitor the rest/activity cycle . In addition, actigraphy is used for the secondary aim regarding objective measures of sleep. The actigraph is a wristwatch-like device, worn on the nondominant wrist, which allows the participant to continue normal routines in the natural environment. There is no remote monitoring whether the actigraph is worn; however, the actigraph can be worn continuously during this week also when bathing. The actigraph (GENEActiv, Activinsights Ltd, Cambridgeshire, United Kingdom) measures the movement/motor activity of the participant, and thereby, the time spent in sedentary behavior, light intensity physical activity, moderate to vigorous physical activity, and vigorous physical activity can be determined [ ]. Participants will wear the actigraph for 1 week.
The level of emotional distress is examined with the Hospital Anxiety and Depression Scale (HADS) , which consists of 14 items. Each item is scored on a 4-point scale, and the total score ranges from 0 to 42, where a higher score denotes more psychological distress. The HADS includes 2 subscales with each 7 items measuring anxiety and depression with scores ranging from 0 to 21. A subscale score of ≥8 is an indicator of depression or anxiety in patients with TBI, which is in line with findings of the general population [ ]. The HADS is a reliable measure and has been validated in the TBI population [ ].
The Dysexecutive Questionnaire Revised (DEX-R) is used to assess cognitive complaints . This questionnaire examines cognitive problems in daily life as experienced by the patient. The DEX-R assesses 4 domain-general types of dysexecutive problems (metacognition or social cognition, executive cognition, behavioral-emotional self-regulation, and activation) and comprises 34 items. Each item is scored on a 5-point Likert scale on how often certain difficulties related to cognition are experienced. The total score ranges from 0 to 136, where a higher score denotes more cognitive problems. The DEX-R is a reliable and valid measure [ , ] and has been used in the TBI population [ ].
The Utrecht Scale for Evaluation and Rehabilitation-Participation (USER-P)  is used to assess participation. The questionnaire measures 3 aspects of participation: frequency of behaviors, experienced participation restrictions due to health condition, and satisfaction with participation. The USER-P consists of 31 items across the 3 subscales. Each sum score of a scale is converted to scores ranging from 0 to 100, where higher scores indicate good levels of participation (higher frequency, fewer restrictions, higher satisfaction). The USER-P is a valid and reliable measure in patients with brain injury, and test-retest reliability and internal consistency of the USER-P are satisfactory [ ].
The Multidimensional Scale of Perceived Social Support (MSPSS) is used to assess social support . The MSPSS consists of 12-items examining perceived social support from family, friends, and significant other. Each item is rated on a 7-point Likert scale. The mean total score ranges from 1 to 7, where a higher score denotes more perceived social support. The MSPSS has shown good psychometric properties [ ], and it has been used in TBI patients [ ].
Secondary Outcome Measures
Previous research has shown a discrepancy between objective and subjective measures of fatigue and sleep in TBI population [, ]. Therefore, as the secondary aim, objective measures of fatigue and sleep are included in this study.
Fatigue is measured objectively with the 10-min psychomotor vigilance task (PVT), which is a sustained-attention, reaction-time task, often used in sleep and fatigue research . The PVT is a simple, reliable, and sensitive task for measuring performance and attentional deficits due to fatigue [ ]. When performing the PVT, the response time to visual stimuli occurring at random interstimulus intervals is measured. The task has good psychometric properties, has been validated, and has been used in TBI patients [ ].
Sleep problems are examined objectively with the actigraph described previously that measures sleep-wake patterns during 1 week. Actigraphy has shown to be a satisfactory objective estimate of sleep especially for global sleep parameters including total sleep time, sleep onset latency, and sleep efficiency . Multiple studies have included actigraphy to examine sleep in TBI patients [ , , ], and they have shown that actigraphy is a reliable method for monitoring sleep in this population, irrespective of the injury severity [ ].
Group Characteristics and Monitoring Participants
Information regarding the injury such as time since injury, injury severity parameters (eg, intracerebral abnormality on structural imaging data, LOC, PTA, injury severity score), causes of injury, comorbid (physical) injuries, seizures, and drug or alcohol intoxication during injury will be retrieved from the hospital database.
The demographic questionnaire asks about age, gender, education, marital status, level of occupational achievement, psychological, and medical history. In addition, this questionnaire assesses medication, drugs, and alcohol use.
The Epworth Sleepiness Scale (ESS) is used to examine daytime sleepiness . The ESS measures general level of daytime sleepiness and sleep propensity with 8 items. Each item is scored on a 4-point scale indicating the chance of dozing off, and the total score ranges from 0 to 24, where a higher score indicates more daytime sleepiness. A score of ≥11 indicates clinically significant subjective sleepiness [ ]. The ESS is widely used in TBI research [ ] and has a reasonably high reliability [ ].
Multidimensional Aspects of Fatigue
The Dutch Multi-Factor Fatigue Scale (DMFS) is used to measure the multidimensional aspects of fatigue. The DMFS is a newly developed questionnaire that examines several factors of fatigue following TBI, including impact of fatigue, mental fatigue, signs and direct consequences of fatigue, physical fatigue, and coping with fatigue . The DMFS consists of 38 items rated on a 5-point Likert scale, with higher scores on each subscale indicating more severe fatigue. This questionnaire is specifically developed to measure the multiple facets of fatigue following acquired brain injury [ ].
Subjective Sleep-Wake Patterns
The relevant questions of the consensus sleep diary, which is a standardized sleep diary developed by insomnia experts , are used to examine subjective sleep-wake patterns and for better interpretation of actigraphy data. The sleep diary includes the following core questions: (1) the time of getting into bed; (2) the time at which the individual attempted to fall asleep; (3) sleep-onset latency; (4) duration of awakenings; (5) time of final awakening; (6) final rise time; and (7) perceived sleep quality (rated via Likert scale) [ ]. An additional question about napping/dozing is added. The diary is completed in the morning and is filled out for 7 consecutive days concurrent with the actigraphy. Sleep diaries are a reliable and validated measure to examine sleep [ ].
Posttraumatic Stress Disorder
The presence of posttraumatic stress disorder (PTSD) is determined with the PTSD Checklist of the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5; PCL-5), a 20-item self-reported measure corresponding to the DSM-5 symptom criteria for PTSD . Each item is rated on a 5-point scale Likert scale and the total score ranges from 0 to 80, where a higher score denotes more severe PTSD symptoms. A score of 33 or higher is suggested as the indication of PTSD [ ]. The PCL-5 is a reliable measure with strong validity [ ]. PTSD occurs in 18% to 27% of the cases following severe TBI [ , ]. To check whether PTSD is the underlying cause of elevated stress and as PTSD takes time to develop, the PCL-5 is only assessed at visits 2 and 4.
Passive reaction coping style and active problem-solving coping style are examined with the Utrechtse Coping Lijst (UCL), which will differentiate active approach versus passive approach . As this study only includes active and passive coping, the questionnaire will consist of 14 items scored on a 4-point Likert scale. Scores for both subscales range from 7 to 28, where higher scores denote a higher preference for that coping style. Both subscales show fairly good internal consistency and reasonably high test-retest reliability in the Dutch population [ ]. The UCL has been used in Dutch TBI patients before and showed limited variability over time, therefore, coping styles are only assessed at visits 1 and 4 [ ].
Sleepiness Preceding the Task
Sleepiness before the PVT is assessed with the Karolinska sleepiness scale (KSS) . The KSS consist of 1 item on a 9-point Likert scale ranging from extremely alert to very sleepy, great effort to keep awake, where a higher score denotes greater sleepiness. The subject indicates the sleepiness level of the preceding 5 min. The test-retest reliability and the construct validity of the KSS are high [ ].
Descriptive statistics will be used to present mean scores and SDs at each time point of the outcome measures and predictive variables. Normality and assumptions will be checked. Next, 2 linear mixed regression analysis  will be performed to evaluate the associations between the predictive (independent) variables (pain, cognitive impairment, physical activity, emotional distress, cognitive complaints, social support, and participation) and the primary end point (subjective sleep quality and fatigue) across time. For each of the 2 primary end points, we will first determine whether these associations with predictors change across the 4 time points (ie, time by predictor interactions). In case of a significant interaction, simple interaction contrasts comparing consecutive time points will be used to determine whether the association between predictor and primary end point decreases or increases. Bonferroni correction will be used to adjust for multiple testing.
For the secondary objectives, the temporal relation between objective fatigue, objective sleep, and the predictive variables of the biopsychosocial model will be examined with the same linear mixed-effects regression analyses as used for the primary objectives.
Recruitment of participants for this longitudinal cohort study started in October 2017, and the enrollment of participants is ongoing. The first results are expected at the end of 2020.
This study describes the protocol of a longitudinal cohort study examining fatigue and sleep following moderate to severe TBI and the underlying predictors with a biopsychosocial model.
There are several reasons why this cohort study is innovative. First, this study has a longitudinal design. To the authors’ knowledge, there are only 3 longitudinal follow-up studies examining fatigue or sleep following moderate to severe TBI in the first 12 to 24 months post-TBI [, , ]. These studies had a much smaller sample size and focused on fatigue or sleep separately.
Second, even though fatigue and sleep are closely related, they can be affected independently, and problems with fatigue and sleep do not always co-occur . Therefore, this study examines fatigue and sleep concurrently in a follow-up design to better understand their common and unique manifestations, as was also recommend by Cantor et al [ ].
Third, this study uses a biopsychosocial explanation of post-TBI fatigue and sleep problems . Multiple researchers suggested integrated biopsychosocial approaches for future studies to best explain the outcome of TBI [ - ]. However, few studies have yet examined multiple identified biopsychosocial factors in a comprehensive model over time to determine the significant underlying factors that contribute to post-TBI fatigue and sleep problems. Understanding these complex interactions is crucial to establish, explain, and treat fatigue and sleep problems associated with TBI.
Finally, this study uses both subjective and objective measures to examine fatigue and sleep. Previous research has shown discrepancies between objective and subjective measures of fatigue and sleep in the TBI population [, ]. Therefore, it is important to include both measures. However, most studies only include subjective or objective measures of fatigue and sleep.
A limitation of this study is that the extreme, severe multitrauma patients will not be included in the study because they may not be recognized as TBI due to severe multiple physical injuries and they may not be able to participate due to their injuries. This may jeopardize the generalizability of the results to all moderate to severe TBI patients.
To the authors’ knowledge, this study will be the first that examines the development of both post-TBI fatigue and sleep longitudinally with a biopsychosocial model in moderate to severe TBI and that will differentiate between fatigue and sleep using both subjective and objective measures. Identification of modifiable factors such as mood and psychosocial stressors may give direction to the development of interventions for fatigue and sleep problems post-TBI that subsequently lower the burden for the patient and may prevent the development of secondary symptoms and complaints such as depression.
The study is funded by Maastricht University.
All authors contributed to the design and the protocol of the study. All authors reviewed the manuscript and approved the final version.
Conflicts of Interest
- Hyder AA, Wunderlich CA, Puvanachandra P, Gururaj G, Kobusingye OC. The impact of traumatic brain injuries: a global perspective. NeuroRehabilitation 2007;22(5):341-353. [Medline]
- Olesen J, Gustavsson A, Svensson M, Wittchen H, Jönsson B, CDBE2010 Study Group, European Brain Council. The economic cost of brain disorders in Europe. Eur J Neurol 2012 Jan;19(1):155-162. [CrossRef] [Medline]
- Bruns Jr J, Hauser WA. The epidemiology of traumatic brain injury: a review. Epilepsia 2003;44(s10):2-10 [FREE Full text] [Medline]
- Lezak MD, Howieson DB, Loring DW, Hannay HJ, Fischer JS. Neuropsychological Assessment (4th ed.). New York, NY: Oxford University Press; 2004.
- Nakase-Richardson R, Sherer M, Barnett SD, Yablon SA, Evans CC, Kretzmer T, et al. Prospective evaluation of the nature, course, and impact of acute sleep abnormality after traumatic brain injury. Arch Phys Med Rehabil 2013 May;94(5):875-882. [CrossRef] [Medline]
- Zuzuárregui JR, Bickart K, Kutscher SJ. A review of sleep disturbances following traumatic brain injury. Sleep Sci Pract 2018 Feb 16;2(1). [CrossRef]
- Ponsford JL, Sinclair KL. Sleep and fatigue following traumatic brain injury. Psychiatr Clin North Am 2014 Mar;37(1):77-89. [CrossRef] [Medline]
- Mathias JL, Alvaro PK. Prevalence of sleep disturbances, disorders, and problems following traumatic brain injury: a meta-analysis. Sleep Med 2012 Aug;13(7):898-905. [CrossRef] [Medline]
- Ouellet M, Beaulieu-Bonneau S, Morin CM. Sleep-wake disturbances and fatigue in individuals with traumatic brain injury. In: Morin CM, Espie CA, editors. The Oxford Handbook of Sleep and Sleep Disorders. Oxford: Oxford University Press; 2012.
- Beaulieu-Bonneau S, Morin CM. Sleepiness and fatigue following traumatic brain injury. Sleep Med 2012 Jun;13(6):598-605. [CrossRef] [Medline]
- Singh K, Morse AM, Tkachenko N, Kothare SV. Sleep disorders associated with traumatic brain injury-a review. Pediatr Neurol 2016 Dec;60:30-36. [CrossRef] [Medline]
- Cantor JB, Ashman T, Gordon W, Ginsberg A, Engmann C, Egan M, et al. Fatigue after traumatic brain injury and its impact on participation and quality of life. J Head Trauma Rehabil 2008;23(1):41-51. [CrossRef] [Medline]
- Ponsford JL, Ziino C, Parcell DL, Shekleton JA, Roper M, Redman JR, et al. Fatigue and sleep disturbance following traumatic brain injury--their nature, causes, and potential treatments. J Head Trauma Rehabil 2012;27(3):224-233. [CrossRef] [Medline]
- Highsmith J, Stephenson AJ, Everhart ED. A review of assessment of sleep disruption in adults following traumatic brain injury. Int J Neurorehabilitation Eng 2016;3(4):E41-E50. [CrossRef] [Medline]
- Cantor JB, Bushnik T, Cicerone K, Dijkers MP, Gordon W, Hammond FM, et al. Insomnia, fatigue, and sleepiness in the first 2 years after traumatic brain injury: an NIDRR TBI model system module study. J Head Trauma Rehabil 2012;27(6):E1-14. [CrossRef] [Medline]
- Ouellet MC, Beaulieu-Bonneau S, Morin CM. Sleep-wake disturbances after traumatic brain injury. Lancet Neurol 2015 Jul;14(7):746-757. [CrossRef] [Medline]
- Mollayeva T, Mollayeva S, Colantonio A. The risk of sleep disorder among persons with mild traumatic brain injury. Curr Neurol Neurosci Rep 2016 Jun;16(6):55. [CrossRef] [Medline]
- McDonald BC, Flashman LA, Saykin AJ. Executive dysfunction following traumatic brain injury: neural substrates and treatment strategies. NeuroRehabilitation 2002;17(4):333-344. [Medline]
- Guilleminault C, Yuen KM, Gulevich MG, Karadeniz D, Leger D, Philip P. Hypersomnia after head-neck trauma: a medicolegal dilemma. Neurology 2000 Feb 08;54(3):653-659. [Medline]
- Fogelberg DJ, Hoffman JM, Dikmen S, Temkin NR, Bell KR. Association of sleep and co-occurring psychological conditions at 1 year after traumatic brain injury. Arch Phys Med Rehabil 2012 Aug;93(8):1313-1318. [CrossRef] [Medline]
- Chiou KS, Chiaravalloti ND, Wylie GR, DeLuca J, Genova HM. Awareness of subjective fatigue after moderate to severe traumatic brain injury. J Head Trauma Rehabil 2016;31(3):E60-E68. [CrossRef] [Medline]
- Bushnik T, Englander J, Wright J. Patterns of fatigue and its correlates over the first 2 years after traumatic brain injury. J Head Trauma Rehabil 2008;23(1):25-32. [CrossRef] [Medline]
- Chan LG, Feinstein A. Persistent sleep disturbances independently predict poorer functional and social outcomes 1 year after mild traumatic brain injury. J Head Trauma Rehabil 2015;30(6):E67-E75. [CrossRef] [Medline]
- Deluca J, editor. Fatigue as a Window to the Brain. London: The MIT Press; 2005.
- Nazem S, Forster JE, Brenner LA, Matthews EE. Actigraphic and sleep diary measures in veterans with traumatic brain injury: discrepancy in selected sleep parameters. J Head Trauma Rehabil 2016;31(2):136-146. [CrossRef] [Medline]
- Cohen J, Cohen P, West SG, Aiken LS. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition. London: Routledge; 2002.
- Beaulieu-Bonneau S, Ouellet MC. Fatigue in the first year after traumatic brain injury: course, relationship with injury severity, and correlates. Neuropsychol Rehabil 2017 Oct;27(7):983-1001. [CrossRef] [Medline]
- Hart T, Seignourel PJ, Sherer M. A longitudinal study of awareness of deficit after moderate to severe traumatic brain injury. Neuropsychol Rehabil 2009 Apr;19(2):161-176. [CrossRef] [Medline]
- Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet 1974 Jul 13;2(7872):81-84. [Medline]
- Malec JF, Brown AW, Leibson CL, Flaada JT, Mandrekar JN, Diehl NN, et al. The mayo classification system for traumatic brain injury severity. J Neurotrauma 2007 Sep;24(9):1417-1424. [CrossRef] [Medline]
- Schmidt C, Collette F, Cajochen C, Peigneux P. A time to think: circadian rhythms in human cognition. Cogn Neuropsychol 2007 Oct;24(7):755-789. [CrossRef] [Medline]
- Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 1989 Oct;46(10):1121-1123. [Medline]
- Buysse DJ, Reynolds CF3, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989 May;28(2):193-213. [Medline]
- Hawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res (Hoboken) 2011 Nov;63 Suppl 11:S240-S252 [FREE Full text] [CrossRef] [Medline]
- Wilde EA, Whiteneck GG, Bogner J, Bushnik T, Cifu DX, Dikmen S, et al. Recommendations for the use of common outcome measures in traumatic brain injury research. Arch Phys Med Rehabil 2010 Nov;91(11):1650-1660.e17. [CrossRef] [Medline]
- Esliger DW, Rowlands AV, Hurst TL, Catt M, Murray P, Eston RG. Validation of the GENEA Accelerometer. Med Sci Sports Exerc 2011 Jun;43(6):1085-1093. [CrossRef] [Medline]
- Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983 Jun;67(6):361-370. [Medline]
- Simblett SK, Ring H, Bateman A. The Dysexecutive Questionnaire Revised (DEX-R): an extended measure of everyday dysexecutive problems after acquired brain injury. Neuropsychol Rehabil 2017 Dec;27(8):1124-1141. [CrossRef] [Medline]
- van der Zee CH, Priesterbach AR, van der Dussen L, Kap A, Schepers VP, Visser-Meily JM, et al. Reproducibility of three self-report participation measures: the ICF Measure of Participation and Activities Screener, the Participation Scale, and the Utrecht Scale for Evaluation of Rehabilitation-Participation. J Rehabil Med 2010 Sep;42(8):752-757 [FREE Full text] [CrossRef] [Medline]
- Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. J Pers Assess 1988 Mar;52(1):30-41. [CrossRef] [Medline]
- Sadeh A, Acebo C. The role of actigraphy in sleep medicine. Sleep Med Rev 2002 Apr;6(2):113-124. [Medline]
- Dinges DF, Powell JW. Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Behav Res Methods Instrum Comput 1985 Nov;17(6):652-655. [CrossRef]
- Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991 Dec;14(6):540-545. [Medline]
- Visser-Keizer AC, Hogenkamp A, Westerhof-Evers HJ, Egberink IJL, Spikman JM. Dutch multifactor fatigue scale: a new scale to measure the different aspects of fatigue after acquired brain injury. Arch Phys Med Rehabil 2015 Jun;96(6):1056-1063. [CrossRef] [Medline]
- Carney CE, Buysse DJ, Ancoli-Israel S, Edinger JD, Krystal AD, Lichstein KL, et al. The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep 2012 Feb 01;35(2):287-302 [FREE Full text] [CrossRef] [Medline]
- Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. PTSD: National Center for PTSD. 2013. The PTSD Checklist for DSM-5 (PCL-5) URL: https://www.ptsd.va.gov/ [accessed 2018-09-25] [WebCite Cache]
- Schreurs PJG. De Utrechtse coping lijst: UCL: omgaan met problemen en gebeurtenissen. Amsterdam, Netherlands: Harcourt Test Publishers; 1988.
- Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci 1990 May;52(1-2):29-37. [Medline]
- LaChapelle DL, Finlayson MA. An evaluation of subjective and objective measures of fatigue in patients with brain injury and healthy controls. Brain Inj 1998 Aug;12(8):649-659. [Medline]
- Hofman A, Breteler MM, van Duijn CM, Krestin GP, Pols HA, Stricker BH, et al. The Rotterdam Study: objectives and design update. Eur J Epidemiol 2007;22(11):819-829 [FREE Full text] [CrossRef] [Medline]
- Aicher B, Peil H, Peil B, Diener H. Pain measurement: Visual Analogue Scale (VAS) and Verbal Rating Scale (VRS) in clinical trials with OTC analgesics in headache. Cephalalgia 2012 Feb;32(3):185-197. [CrossRef] [Medline]
- Rabinowitz AR, Levin HS. Cognitive sequelae of traumatic brain injury. Psychiatr Clin North Am 2014 Mar;37(1):1-11 [FREE Full text] [CrossRef] [Medline]
- Stroop JR. Studies of interference in serial verbal reactions. J Exp Psychol 1935;18(6):643-662.
- Dimoska-Di Marco A, McDonald S, Kelly M, Tate R, Johnstone S. A meta-analysis of response inhibition and Stroop interference control deficits in adults with traumatic brain injury (TBI). J Clin Exp Neuropsychol 2011 Apr;33(4):471-485. [CrossRef] [Medline]
- Benton AL. Multilingual Aphasia Examination. Iowa City, Iowa: AJA Associates; 1976.
- Henry JD, Crawford JR. A meta-analytic review of verbal fluency performance in patients with traumatic brain injury. Neuropsychology 2004 Oct;18(4):621-628. [CrossRef] [Medline]
- Millis SR, Rosenthal M, Novack TA, Sherer M, Nick TG, Kreutzer JS, et al. Long-term neuropsychological outcome after traumatic brain injury. J Head Trauma Rehabil 2001 Aug;16(4):343-355. [Medline]
- Kohl AD, Wylie GR, Genova HM, Hillary FG, DeLuca J. The neural correlates of cognitive fatigue in traumatic brain injury using functional MRI. Brain Inj 2009 May;23(5):420-432. [CrossRef] [Medline]
- Smith A. Symbol Digit Modalities Test (SDMT). Manual (Revised). Los Angeles: Western Psychological Services; 1982.
- Crawford JR, Henry JD, Crombie C, Taylor EP. Normative data for the HADS from a large non-clinical sample. Br J Clin Psychol 2001 Nov;40(Pt 4):429-434. [Medline]
- Schwarzbold ML, Diaz AP, Nunes JC, Sousa DS, Hohl A, Guarnieri R, et al. Validity and screening properties of three depression rating scales in a prospective sample of patients with severe traumatic brain injury. Rev Bras Psiquiatr 2014 Sep;36(3):206-212 [FREE Full text] [Medline]
- Shaw S, Oei TP, Sawang S. Psychometric validation of the Dysexecutive Questionnaire (DEX). Psychol Assess 2015 Mar;27(1):138-147. [CrossRef] [Medline]
- Spikman JM, Boelen DH, Lamberts KF, Brouwer WH, Fasotti L. Effects of a multifaceted treatment program for executive dysfunction after acquired brain injury on indications of executive functioning in daily life. J Int Neuropsychol Soc 2010 Jan;16(1):118-129. [CrossRef] [Medline]
- Post MW, van der Zee CH, Hennink J, Schafrat CG, Visser-Meily JM, van Berlekom SB. Validity of the utrecht scale for evaluation of rehabilitation-participation. Disabil Rehabil 2012;34(6):478-485. [CrossRef] [Medline]
- Zeng EQ, Zeng BQ, Tian JL, Du B, Tian XB, Chen H. Perceived social support and its impact on mental fatigue in patients with mild traumatic brain injury. Balkan Med J 2016 Mar;33(2):152-157 [FREE Full text] [CrossRef] [Medline]
- Basner M, Hermosillo E, Nasrini J, McGuire S, Saxena S, Moore TM, et al. Repeated administration effects on psychomotor vigilance test performance. Sleep 2018 Jan 01;41(1). [CrossRef] [Medline]
- Sinclair KL, Ponsford JL, Rajaratnam SM, Anderson C. Sustained attention following traumatic brain injury: use of the Psychomotor Vigilance Task. J Clin Exp Neuropsychol 2013 Feb;35(2):210-224. [CrossRef] [Medline]
- Duclos C, Dumont M, Wiseman-Hakes C, Arbour C, Mongrain V, Gaudreault PO, et al. Sleep and wake disturbances following traumatic brain injury. Pathol Biol (Paris) 2014 Oct;62(5):252-261. [CrossRef] [Medline]
- Imbach LL, Büchele F, Valko PO, Li T, Maric A, Stover JF, et al. Sleep-wake disorders persist 18 months after traumatic brain injury but remain underrecognized. Neurology 2016 May 24;86(21):1945-1949. [CrossRef] [Medline]
- Kamper JE, Garofano J, Schwartz DJ, Silva MA, Zeitzer J, Modarres M, et al. Concordance of actigraphy with polysomnography in traumatic brain injury neurorehabilitation admissions. J Head Trauma Rehabil 2016;31(2):117-125. [CrossRef] [Medline]
- Theadom A, Cropley M, Parmar P, Barker-Collo S, Starkey N, Jones K, BIONIC Research Group. Sleep difficulties one year following mild traumatic brain injury in a population-based study. Sleep Med 2015 Aug;16(8):926-932. [CrossRef] [Medline]
- Johns MW. Reliability and factor analysis of the Epworth Sleepiness Scale. Sleep 1992 Aug;15(4):376-381. [Medline]
- Hunsley J, Mash EJ, editors. A Guide to Assessments That Work. Oxford: Oxford University Press; 2008.
- Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress 2015 Dec;28(6):489-498. [CrossRef] [Medline]
- Bryant RA, Marosszeky JE, Crooks J, Gurka JA. Posttraumatic stress disorder after severe traumatic brain injury. Am J Psychiatry 2000 Apr;157(4):629-631. [CrossRef] [Medline]
- Williams WH, Evans JJ, Wilson BA, Needham P. Brief report: prevalence of post-traumatic stress disorder symptoms after severe traumatic brain injury in a representative community sample. Brain Inj 2002 Aug;16(8):673-679. [CrossRef] [Medline]
- Schreurs PJ, van de Willige G, Brosschot JF, Tellegen B, Graus GM. Handleiding Utrechtse Coping Lijst UCL (herziene versie). Lisse: Swets & Zeitlinger; 1993.
- Brands I, Köhler S, Stapert S, Wade D, van Heugten C. How flexible is coping after acquired brain injury? A 1-year prospective study investigating coping patterns and influence of self-efficacy, executive functioning and self-awareness. J Rehabil Med 2014 Oct;46(9):869-875 [FREE Full text] [CrossRef] [Medline]
- Akerstedt T, Anund A, Axelsson J, Kecklund G. Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function. J Sleep Res 2014 Jun;23(3):240-252 [FREE Full text] [CrossRef] [Medline]
- Blackwell E, de Leon CF, Miller GE. Applying mixed regression models to the analysis of repeated-measures data in psychosomatic medicine. Psychosom Med 2006;68(6):870-878. [CrossRef] [Medline]
- Prigatano GP, Stahl ML, Orr WC, Zeiner HK. Sleep and dreaming disturbances in closed head injury patients. J Neurol Neurosurg Psychiatry 1982 Jan;45(1):78-80 [FREE Full text] [Medline]
- George B, Landau-Ferey J. Twelve months' follow-up by night sleep EEG after recovery from severe head trauma. Neurochirurgia (Stuttg) 1986 Mar;29(2):45-47. [CrossRef] [Medline]
- Theadom A, Parag V, Dowell T, McPherson K, Starkey N, Barker-Collo S, BIONIC Research Group. Persistent problems 1 year after mild traumatic brain injury: a longitudinal population study in New Zealand. Br J Gen Pract 2016 Jan;66(642):e16-e23 [FREE Full text] [CrossRef] [Medline]
- Wäljas M, Iverson GL, Lange RT, Hakulinen U, Dastidar P, Huhtala H, et al. A prospective biopsychosocial study of the persistent post-concussion symptoms following mild traumatic brain injury. J Neurotrauma 2015 Apr 15;32(8):534-547. [CrossRef] [Medline]
- Silverberg ND, Gardner AJ, Brubacher JR, Panenka WJ, Li JJ, Iverson GL. Systematic review of multivariable prognostic models for mild traumatic brain injury. J Neurotrauma 2015 Apr 15;32(8):517-526. [CrossRef] [Medline]
- Scheenen ME, Spikman JM, De Koning ME, Van Der Horn HJ, Roks G, Hageman G, et al. Patients “at risk” of suffering from persistent complaints after mild traumatic brain injury: the role of coping, mood disorders, and post-traumatic stress. J Neurotrauma 2017 Jan 01;34(1):31-37. [CrossRef] [Medline]
|COWAT: controlled oral word association test|
|DMFS: Dutch Multi-Factor Fatigue Scale|
|DEX-R: Dysexecutive Questionnaire Revised|
|ESS: Epworth Sleepiness Scale|
|FSS: Fatigue Severity Scale|
|HADS: Hospital Anxiety and Depression Scale|
|KSS: Karolinska sleepiness scale|
|LOC: loss of consciousness|
|MSPSS: Multidimensional Scale of Perceived Social Support|
|PCL-5: PTSD Checklist for DSM-5|
|PSQI: Pittsburgh Sleep Quality Index|
|PTA: posttraumatic amnesia|
|PTSD: posttraumatic stress disorder|
|PVT: psychomotor vigilance test|
|SDMT: symbol digit modalities test|
|TBI: traumatic brain injury|
|UCL: Utrechtse Coping Lijst|
|USER-P: The Utrecht Scale for Evaluation of Rehabilitation-Participation (In Dutch: Utrechtse Schaal voor Evaluatie van Participatie)|
Edited by G Eysenbach, N Kuter; submitted 14.06.18; peer-reviewed by S Simblett, L Moscote; comments to author 28.06.18; revised version received 05.07.18; accepted 06.07.18; published 22.10.18
©Jessica Bruijel, Sven Z Stapert, Annemiek Vermeeren, Jennie L Ponsford, Caroline M van Heugten. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 22.10.2018.
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