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ORIGINAL RESEARCH| Volume 103, ISSUE 2, P263-273.e4, February 2022

Daily Variation in Sleep Quality is Associated With Health-Related Quality of Life in People With Spinal Cord Injury

Published:August 17, 2021DOI:https://doi.org/10.1016/j.apmr.2021.07.803

      Abstract

      Objective

      Although sleep difficulties are common after spinal cord injury (SCI), little is known about how day-to-day fluctuations in sleep quality affects health-related quality of life (HRQOL) among these individuals. We examined the effect of sleep quality on same-day HRQOL using ecological momentary assessment methods over a 7-day period.

      Design

      Repeated-measures study involving 7 days of home monitoring; participants completed HRQOL measures each night and ecological momentary assessment ratings 3 times throughout the day; multilevel models were used to analyze data.

      Setting

      Two academic medical centers.

      Participants

      A total of 170 individuals with SCI (N=170).

      Interventions

      Not applicable.

      Main Outcome Measures

      Daily sleep quality was rated on a scale of 0 (worst) to 10 (best) each morning. Participants completed end-of-day diaries each night that included several HRQOL measures (Sleep Disturbance, Sleep-related Impairment, Fatigue, Cognitive Abilities, Pain Intensity, Pain Interference, Ability to Participate in Social Roles and Activities, Depression, Anxiety) and ecological momentary assessment ratings of HRQOL (pain, fatigue, subjective thinking) 3 times throughout each day.

      Results

      Multilevel models indicated that fluctuations in sleep quality (as determined by end-of-day ratings) were significantly related to next-day ratings of HRQOL; sleep quality was related to other reports of sleep (Sleep Disturbance; Sleep-related Impairment; Fatigue) but not to other aspects of HRQOL. For ecological momentary assessment ratings, nights of poor sleep were related to worse pain, fatigue, and thinking. Generally, sleep quality showed consistent associations with fatigue and thinking across the day, but the association between sleep quality and these ecological momentary assessment ratings weakened over the course of the day.

      Conclusions

      Findings highlight the important association between sleep and HRQOL for people with SCI. Future work targeting sleep quality improvement may have positive downstream effects for improving HRQOL in people with SCI.

      Keywords

      List of abbreviations:

      HRQOL (health-related quality of life), PROMIS (Patient-Reported Outcome Measurement Information System), SCI (spinal cord injury)
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      References

        • Singh A
        • Tetreault L
        • Kalsi-Ryan S
        • Nouri A
        • Fehlings MG.
        Global prevalence and incidence of traumatic spinal cord injury.
        Clin Epidemiol. 2014; 6: 309-331
        • Cella D.
        Measuring quality of life in palliative care.
        Semin Oncol. 1995; 22: 73-81
        • Barker RN
        • Kendall MD
        • Amsters DI
        • Pershouse KJ
        • Haines TP
        • Kuipers P.
        The relationship between quality of life and disability across the lifespan for people with spinal cord injury.
        Spinal Cord. 2009; 47: 149-155
        • January AM
        • Zebracki K
        • Chlan KM
        • Vogel LC.
        Sleep, well-being, and psychological symptoms in adults with pediatric-onset spinal cord injury.
        Rehabil Psychol. 2015; 60: 328-334
        • Sankari A
        • Badr MS
        • Martin JL
        • Ayas NT
        • Berlowitz DJ.
        Impact of spinal cord injury on sleep: current perspectives.
        Nat Sci Sleep. 2019; 11: 219-229
        • Biering-Sorensen F
        • Biering-Sorensen M.
        Sleep disturbances in the spinal cord injured: an epidemiological questionnaire investigation, including a normal population.
        Spinal Cord. 2001; 39: 505-513
        • Widerstrom-Noga EG
        • Felipe-Cuervo E
        • Yezierski RP
        Chronic pain after spinal injury: Interference with sleep and daily activities.
        Arch Phys Med Rehabil. 2001; 82: 1571-1577
        • Shafazand S
        • Anderson KD
        • Nash MS.
        Sleep complaints and sleep quality in spinal cord injury: a web-based survey.
        J Clin Sleep Med. 2019; 15: 719-724
        • Norrbrink Budh C
        • Hultling C
        • Lundeberg T
        Quality of sleep in individuals with spinal cord injury: a comparison between patients with and without pain.
        Spinal Cord. 2005; 43: 85-95
        • Battalio SL
        • Glette M
        • Alschuler KN
        • Jensen MP.
        Anxiety, depression, and function in individuals with chronic physical conditions: a longitudinal analysis.
        Rehabil Psychol. 2018; 63: 532-541
        • Widerstrom-Noga E
        • Biering-Sorensen F
        • Bryce T
        • et al.
        The International Spinal Cord Injury Pain Basic Data Set.
        Spinal Cord. 2008; 46: 818-823
        • Jensen MP
        • Hoffman AJ
        • Cardenas DD.
        Chronic pain in individuals with spinal cord injury: a survey and longitudinal study.
        Spinal Cord. 2005; 43: 704-712
        • Putzke JD
        • Richards JS
        • Hicken BL
        • DeVivo MJ.
        Interference due to pain following spinal cord injury: important predictors and impact on quality of life.
        Pain. 2002; 100: 231-242
        • Hammell KW
        • Miller WC
        • Forwell SJ
        • Forman BE
        • Jacobsen BA.
        Fatigue and spinal cord injury: a qualitative analysis.
        Spinal Cord. 2009; 47: 44-49
        • Jensen MP
        • Kuehn CM
        • Amtmann D
        • Cardenas DD.
        Symptom burden in persons with spinal cord injury.
        Arch Phys Med Rehabil. 2007; 88: 638-645
        • Harrison Y
        • Horne JA.
        The impact of sleep deprivation on decision making: a review.
        J Exp Psychol Appl. 2000; 6: 236-249
        • Pilcher JJ
        • Huffcutt AI.
        Effects of sleep deprivation on performance: a meta-analysis.
        Sleep. 1996; 19: 318-326
        • Davidoff G
        • Roth EJ
        • Richards JS.
        Cognitive deficits in spinal cord injury: epidemiology and outcome.
        Arch Phys Med Rehabil. 1992; 73: 275-284
        • Dowler RN
        • Harrington DL
        • Haaland KY
        • Swanda RM
        • Fee F
        • Fiedler K.
        Profiles of cognitive functioning in chronic spinal cord injury and the role of moderating variables.
        J Int Neuropsychol Soc. 1997; 3: 464-472
        • Barclay L
        • McDonald R
        • Lentin P.
        Social and community participation following spinal cord injury: a critical review.
        Int J Rehabil Res. 2015; 38: 1-19
        • Kratz AL
        • Kalpakjian CZ
        • Hanks RA.
        Are intensive data collection methods in pain research feasible in those with physical disability? A study in persons with chronic pain and spinal cord injury.
        Qual Life Res. 2017; 26: 587-600
        • Carlozzi NE
        • Schilling S
        • Freedman J
        • Kalpakjian CZ
        • Kratz AL.
        The reliability of end of day and ecological momentary assessments of pain and pain interference in individuals with spinal cord injury.
        Qual Life Res. 2018; 27: 3003-3012
        • Todd KR
        • Shaw RB
        • Kramer JLK
        • Martin Ginis KA.
        Using ecological momentary assessment to evaluate neuropathic pain experienced by adults with SCI: recommendations and participant perceptions.
        Disabil Rehabil. 2021; 43: 2439-2446
        • Schneider S
        • Stone AA.
        Ambulatory and diary methods can facilitate the measurement of patient-reported outcomes.
        Qual Life Res. 2016; 25: 497-506
        • Kirshblum SC
        • Burns SP
        • Biering-Sorensen F
        • et al.
        International Standards for Neurological Classification of Spinal Cord Injury (revised 2011).
        J Spinal Cord Med. 2011; 34: 535-546
        • Kirshblum SC
        • Waring W
        • Biering-Sorensen F
        • et al.
        Reference for the 2011 revision of the International Standards for Neurological Classification of Spinal Cord Injury.
        J Spinal Cord Med. 2011; 34: 547-554
        • Raichle KA
        • Osborne TL
        • Jensen MP
        • Cardenas D.
        The reliability and validity of pain interference measures in persons with spinal cord injury.
        J Pain. 2006; 7: 179-186
        • Mendoza TR
        • Wang XS
        • Cleeland CS
        • et al.
        The rapid assessment of fatigue severity in cancer patients: use of the Brief Fatigue Inventory.
        Cancer. 1999; 85: 1186-1196
        • Kratz AL
        • Murphy SL
        • Braley TJ.
        Ecological momentary assessment of pain, fatigue, depressive and cognitive symptoms reveals significant daily variability in multiple sclerosis.
        Arch Phys Med Rehabil. 2017; 98: 2142-2150
        • Cella D
        • Yount S
        • Rothrock N
        • et al.
        The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years.
        Med Care. 2007; 45: S3-11
        • Cella DF
        • Riley W
        • Stone A
        • et al.
        The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested in its first wave of adult self-reported health outcome item banks: 2005-2008.
        J Clin Epidemiol. 2010; 63: 1179-1194
        • Condon DM
        • Chapman R
        • Shaunfield S
        • et al.
        Does recall period matter? Comparing PROMIS® physical function with no recall, 24-hr recall, and 7-day recall.
        Qual Life Res. 2020; 29: 745-753
        • Carney CE
        • Buysse DJ
        • Ancoli-Israel S
        • et al.
        The consensus sleep diary: standardizing prospective sleep self-monitoring.
        Sleep. 2012; 35: 287-302
        • Onton JA
        • Kang DY
        • Coleman TP.
        Visualization of whole-night sleep EEG from 2-channel mobile recording device reveals distinct deep sleep stages with differential electrodermal activity.
        Front Hum Neurosci. 2016; 10: 605
        • Sano A
        • Picard RW
        • Stickgold R.
        Quantitative analysis of wrist electrodermal activity during sleep.
        Int J Psychophysiol. 2014; 94: 382-389
        • Kurihara Y
        • Watanabe K.
        Sleep-stage decision algorithm by using heartbeat and body-movement signals.
        IEEE Trans Syst Man Cybern A Syst Hum. 2012; 42: 1450-1459
      1. Empatica. E4 wristband. Available at: https://www.empatica.com/research/e4/. Accessed May 4, 2020.

        • Braithwaite J
        • Watson DG
        • Jones R
        • Rowe M.
        A guide for analysing electrodermal activity (EDA) & skin conductance responses (SCRs) for psychological experiments (revised version: 2.0).
        University of Birmingham, Birmingham, UK2015
        • Spong J
        • Graco M
        • Brown DJ
        • Schembri R
        • Berlowitz DJ.
        Subjective sleep disturbances and quality of life in chronic tetraplegia.
        Spinal Cord. 2015; 53: 636-640
        • Giannoccaro MP
        • Moghadam KK
        • Pizza F
        • et al.
        Sleep disorders in patients with spinal cord injury.
        Sleep Med Rev. 2013; 17: 399-409
        • Choy EH.
        The role of sleep in pain and fibromyalgia.
        Nat Rev Rheumatol. 2015; 11: 513-520
        • Keskindag B
        • Karaaziz M.
        The association between pain and sleep in fibromyalgia.
        Saudi Med J. 2017; 38: 465-475
        • Gerhart JI
        • Burns JW
        • Post KM
        • et al.
        Relationships between sleep quality and pain-related factors for people with chronic low back pain: tests of reciprocal and time of day effects.
        Ann Behav Med. 2017; 51: 365-375
        • Sin NL
        • Almeida DM
        • Crain TL
        • Kossek EE
        • Berkman LF
        • Buxton OM.
        Bidirectional, temporal associations of sleep with positive events, affect, and stressors in daily life across a week.
        Ann Behav Med. 2017; 51: 402-415
        • Simor P
        • Krietsch KN
        • Koteles F
        • McCrae CS.
        Day-to-day variation of subjective sleep quality and emotional states among healthy university students–a 1-week prospective study.
        Int J Behav Med. 2015; 22: 625-634
        • Gothe NP
        • Ehlers DK
        • Salerno EA
        • Fanning J
        • Kramer AF
        • McAuley E.
        Physical activity, sleep and quality of life in older adults: influence of physical, mental and social well-being.
        Behav Sleep Med. 2020; 18: 797-808
        • Russell C
        • Wearden AJ
        • Fairclough G
        • Emsley RA
        • Kyle SD.
        Subjective but not actigraphy-defined sleep predicts next-day fatigue in chronic fatigue syndrome: a prospective daily diary study.
        Sleep. 2016; 39: 937-944
        • Buchanan DT
        • Cain K
        • Heitkemper M
        • et al.
        Sleep measures predict next-day symptoms in women with irritable bowel syndrome.
        J Clin Sleep Med. 2014; 10: 1003-1009
        • Lasch KE
        • Abraham L
        • Patrick J
        • Piault EC
        • Tully SE
        • Treglia M.
        Development of a next day functioning measure to assess the impact of sleep disturbance due to restless legs syndrome: the Restless Legs Syndrome-Next Day Impact questionnaire.
        Sleep Med. 2011; 12: 754-761
        • Parsey CM
        • Schmitter-Edgecombe M.
        Using actigraphy to predict the ecological momentary assessment of mood, fatigue, and cognition in older adulthood: mixed-methods study.
        JMIR Aging. 2019; 2: e11331
        • Whibley D
        • Braley TJ
        • Kratz AL
        • Murphy SL.
        Transient effects of sleep on next-day pain and fatigue in older adults with symptomatic osteoarthritis.
        J Pain. 2019; 20: 1373-1382
        • Kalmbach DA
        • Arnedt JT
        • Swanson LM
        • Rapier JL
        • Ciesla JA.
        Reciprocal dynamics between self-rated sleep and symptoms of depression and anxiety in young adult women: a 14-day diary study.
        Sleep Med. 2017; 33: 6-12
        • Wu JQ
        • Cronin-Golomb A.
        Temporal associations between sleep and daytime functioning in Parkinson's disease: a smartphone-based ecological momentary assessment.
        Behav Sleep Med. 2020; 18: 560-569
        • Tang NK
        • Goodchild CE
        • Sanborn AN
        • Howard J
        • Salkovskis PM.
        Deciphering the temporal link between pain and sleep in a heterogeneous chronic pain patient sample: a multilevel daily process study.
        Sleep. 2012; 35 (675-87A)
        • Gould CE
        • Karna R
        • Jordan J
        • et al.
        Subjective but not objective sleep is associated with subsyndromal anxiety and depression in community-dwelling older adults.
        Am J Geriatr Psychiatry. 2018; 26: 806-811
        • Shiffman S
        • Stone AA
        • Hufford MR.
        Ecological momentary assessment.
        Annu Rev Clin Psychol. 2008; 4: 1-32
        • Kalpakjian CZ
        • Farrell D
        • Albright K
        • Chiodo A
        • Young E.
        Association of daily stressors and salivary cortisol in spinal cord injury.
        Rehabil Psychol. 2009; 54: 288-298