Skip to main content

Table 4 Studies investigating relationship between prognostic factors and sleep outcomes

From: Sleep problems and associated factors in children with juvenile idiopathic arthritis: a systematic review

Author (YR)

Sleep domains examined

Measurement of sleep outcome

Factors examined

Measurement of factor

Results

Sleep wake patterns and behaviours

Zamir (1998) [7]

Total number of index arousals, or, stage shifts or leg movements (Sleep fragmentation)

Polysomnography

Number of active joints, Duration of stiffness, ESR

Rheumatologic examination

Multiple linear regression revealed no association between number of active joints, duration of stiffness, or ESR, with the total number or index of arousals or awakening, stage shifts, or leg movements (NS)

Palermo (2005) [26]

Sleep wake problems

Sleep-Wake Behavior Problems Scale

Functioning

FDI

In multivariate regression functioning was predictive of sleep wake problems (β = 0.665, p = 0.054)

Pain severity

Faces Pain Scale

In multivariate regression pain severity was not significantly predictive of sleep wake problems (β = 0.593, p = 0.126)

Pain frequency

6-point scale ranging from less than once a month to daily

In multivariate regression, pain frequency was not significantly predictive of sleep wake problems (β = -0.162, p = 0.665)

Passarelli (2006) [27]

Alpha/delta waves, periodic leg movement, isolated leg movements

Polysomnography

Morning stiffness

Rheumatologic examination

Morning stiffness was significantly correlated to periodic leg movement (rs = 0.75, p = 0.00009) and isolated leg movements (rs = 0.78, p = 0.00003)

Pain score

Self-assessment of pain on a categorical 5-point face scale ranging from “no hurt” to “hurts worst”

Pain score was significantly correlated with alpha/delta waves (rs = 0.74, p = 0.0001)

Ward (2008) [3]

Wake and sleep stages, apnea/ hypopnea index (AHI), periodic leg movements

Polysomnography

Sleep quality

SSR

In the multivariate regression model testing predictors of the disturbed sleep (arousals), age and medications, anxiety, and evening pain explained 18% of variance, but neither anxiety or pain had a significant effect (both p > .05)

Anxiety

RCMAS

Anxiety did not predict sleep disturbances (β = -0.30, p = 0.19)

Medications

Parents completed a daily diary of medications their child received

Medications did predict sleep disturbance (β = 0.11, p < .04)

Evening pain

Oucher Faces Rating Pain Scale

Evening pain did not predict sleep disturbances (β = 0.23, p = 0.19)

Ward (2010) [28]

Apnea/ hypopnea index (AHI), awakenings, arousal

Polysomnography

Reaction time

CANTAB

Reaction time was inversely correlated with awakenings and arousals (r = -0.32, p < 0.03)

Inadequate sleep quality

Bloom (2002) [25]

Sleep habits

CSHQ

Function

JAFAR

Functional disability was not significantly correlated with sleep habits (rs = 0.253, p = 0.222)

Limited joint count

NR

Limited joint count was not significantly correlated with sleep habits (rs = -0.184, p = 0.380)

Active joint count

NR

Active joint count was not significantly correlated with sleep habits (rs = -0.100, p = 0.633)

Parent global rating

Varni Pediatric Pain Questionnaire

Parental global rating was not significantly correlated with sleep habits (rs = 0.262 p = 0.207)

Physician global rating

Overall disease activity on a scale of 0-4 (0 = no disease activity, 4 = very severe disease)

Physician global rating was not significantly correlated with sleep habits (rs = 0.258, p = 0.212)

ESR

Clinical pathology laboratory by standard methods

ESR was not significantly correlated with sleep habits (rs = 0.102, p = 0.628)

SSR

Average pain

VAS

Average pain score was significantly correlated with sleep habits (rs = 0.56, p = 0.005)

Long (2008) [1]

Sleep disturbance

CSHQ

Functioning

FDI - child and parent report

Child report of functional disability was not significantly correlated with sleep disturbance (r = 0.190, NS)

Parental report of functional disability was significantly correlated with sleep disturbance (r = 0.646, p < 0.01)

Physical and psychosocial HRQOL

Child’s Health Questionnaire

Physical and psychosocial HRQOL was inversely correlated with sleep disturbance (r = -0.813, p < 0.01)

Disease severity (global rating), daily pain

VAS (100-mm)

Disease severity was significantly correlated with sleep quality (β = 0.05, p > .05)

Butbul Aviel (2011) [29]

Sleep disturbance

CSHQ

Number of tender and swollen joints

Number of swollen and painful joints by parents’ and patients’ self-report joint count—using a pictorial (mannequin) format.

Self reported sleep habits was slightly correlated with number of tender joints (r = 0.241) and swollen joints (r = 0.163)

Global pain, worst pain

VAS

Self reported sleep habits was significantly correlated with global pain (r = 0.32, p = 0.0003)

Number of painful areas, present pain

SSR

Self reported sleep habits was significantly correlated with (r = 0.32, p = 0.0003)

Fatigue

PedsQL fatigue

Self reported sleep habits were inversely correlated with self reported fatigue (r = -0.45, p < 0.0001)

Ward (2011) [30]

Sleep disturbance

CSHQ

Reaction time

CANTAB

Reaction time on CANTAB was significantly correlated with sleep disturbance (β = 0.18, p = 0.22)

Bromberg (2012) [31]

Sleep quality

VAS (100-mm, ranging from did not sleep well to slept very well)

Age

 

Age was inversely correlated with sleep quality (β = -0.39, p > .05)

  1. Abbreviations: CANTAB Cambridge neuropsychological test automated battery, CSHQ child sleep habits questionnaire, ESR erythrocyte sedimentation rate, FDI functional disability inventory, HRQOL health related quality of life, JAFAR Juvenile arthritis functional assessment report, JRA Juvenile rheumatoid arthritis, NR not reported, PedsQL fatigue pediatric quality of life inventory multidimensional fatigue scale™, RCMAS revised children’s manifest anxiety scale, SSR sleep self report, VAS visual analogue scale.