Cohort StudyComorbidities & Related ConditionsEtiology & MechanismsPain Science & Central SensitizationClinical RelevanceDOI
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Patient-friendly summary

If you read nothing else

People who had trouble sleeping or felt fatigued were more likely to develop chronic widespread body pain in the years that followed.

Bottom line

Sleep problems and fatigue each predicted the future onset of chronic widespread pain, with sleep problems being the stronger long-term predictor - supporting routine assessment of sleep and fatigue, though this observational design shows association rather than proven cause.

Moderate evidence

Published

2018
8 years ago
Older study

Evidence hierarchy

Meta-analysis
Systematic Review
RCT
Cohort ◀ this study
Case-Control
Case Report
Expert Opinion

Study participants

1249 (5-year analysis) and 791 (18-year analysis)20-74 years at study entryNot reported

Swedish adults aged 20-74 from the EPIPAIN population cohort, free of chronic widespread pain at baseline (1998) and 3 years prior (1995)

Full research — for clinicians and curious readers

Study Summary

This Swedish population-based prospective cohort study (EPIPAIN) examined whether sleep problems and fatigue predict the new onset of chronic widespread pain (CWP) over 5 and 18 years, using a 3-year wash-out period so only people free of CWP both at baseline (1998) and 3 years prior (1995) were included. Difficulties initiating sleep, maintaining sleep, early morning awakening, non-restorative sleep, and fatigue each predicted CWP onset over 5 years (OR 1.85–2.27 for sleep problems; OR 3.70 for fatigue) and 18 years (OR 1.54–2.25; OR 2.36 for fatigue), independent of mental health. Effects were attenuated when adjusting for baseline pain sites: in the full 5-year model, only ≥3 pain sites and manual work remained significant, while problems maintaining sleep was the one sleep parameter that predicted CWP 18 years later irrespective of mental health and pain regions (OR 1.72). The authors conclude sleep problems and fatigue are both important predictors over 5 years, with sleep problems being a stronger predictor over the longer term, highlighting the value of assessing sleep quality and fatigue in the clinic.

74/100
Evidence StrengthStrong
Study Quality
Sample Size
Replication

Key Findings

All four sleep problems predicted CWP onset over both time horizonsHigh

Difficulties initiating sleep, maintaining sleep, early morning awakening, and non-restorative sleep predicted new onset of CWP over a 5-year (OR 1.85 to 2.27) and 18-year (OR 1.54 to 2.25) perspective, irrespective of baseline mental health.

Fatigue independently predicted CWP onsetHigh

Fatigue (SF-36 vitality subscale) predicted CWP over 5 years (OR 3.70) and 18 years (OR 2.36) when adjusting for mental health, and predicted CWP at 5 years independently of sleep problems, age, gender, socio-economy and mental health, but not independently of number of pain sites.

Reporting all four sleep problems simultaneously was a strong predictorHigh

About one quarter of those reporting all four sleep problems at baseline had CWP 5 years later, and about one third had CWP 18 years later, compared with 4% (5-year) and 8% (18-year) among those reporting none. The association held irrespective of age, gender, socio-economy, mental health and baseline pain.

Difficulties maintaining sleep was the most durable single predictorMedium

Problems with maintaining sleep was the only sleep parameter that predicted CWP onset 18 years later in all models, including when adjusting for both mental health and number of pain sites (OR 1.72).

Adjusting for baseline pain attenuated the sleep-CWP link at 5 yearsMedium

In the full 5-year model adding number of pain sites, none of the individual sleep parameters or fatigue remained significant; only reporting at least three pain sites at baseline and having manual work predicted CWP onset.

Differing temporal roles for fatigue versus sleepMedium

The authors interpret that fatigue may be more tied to already-disturbed pain systems (its association with CWP being explained by number of pain sites), whereas sleep problems may also indicate a vulnerability to chronic pain that precedes such disturbances, given sleep problems were the stronger long-term (18-year) predictor.

Study Methodology
Study Design
Population-based prospective cohort study (EPIPAIN) with a 3-year wash-out period; binary logistic regression with multiple adjustment models
Sample Size
1249 individuals analyzed for the 5-year follow-up and 791 for the 18-year follow-up (from 1512 meeting inclusion criteria; cohort drawn from 1922 responders to the 1995 and 1998 surveys)
Duration
Up to 18 years of follow-up (baseline 1998; follow-ups in 2003 and 2016; wash-out using 1995 data)
Population
Adults aged 20-74 from two municipalities on the southern west coast of Sweden, sampled from the official population register, who were free of CWP both in 1995 and at baseline in 1998
Outcome Measures
Chronic widespread pain classified per ACR 1990 fibromyalgia criteria via an 18-region pain manikin · Four sleep problems (initiating sleep, maintaining sleep, early morning awakening, non-restorative sleep) from the Uppsala Sleep Inventory on a 5-point Likert scale · Fatigue via SF-36 vitality subscale (tertiles: low/intermediate/high) · Mental health via SF-36 MH subscale (tertiles) · Number of musculoskeletal pain sites, socio-economic group, age and gender as confounders

Strengths

  • Long prospective follow-up of up to 18 years with two time horizons (5 and 18 years) analyzed in parallel
  • Novel 3-year wash-out period excluding anyone with CWP at baseline or 3 years prior, giving a more stable 'no CWP' classification and a cleaner estimate of new onset
  • Large population-based cohort drawn from an official population register, enhancing representativeness
  • Multiple, transparent adjustment models separating the effects of mental health and number of pain sites
  • Use of validated instruments (Uppsala Sleep Inventory items, SF-36 subscales) and the widely used ACR 1990 criteria, aiding comparability with other studies
  • High 5-year response rate (90%)

Limitations

  • Reliance on self-reported questionnaire data rather than physician diagnosis for CWP, sleep, and fatigue
  • CWP classification using ACR 1990 criteria can yield heterogeneous cases (e.g., qualifying with as few as three sites while up to 11 sites might not qualify)
  • Repeated analyses across multiple models increase the risk of false-positive associations, especially in models with less convincing p-values
  • Lower 18-year response rate (63%) raises potential non-participation bias
  • The wash-out period means the cohort is likely less vulnerable to CWP than a general-population sample, affecting generalizability
  • At 18 years the findings likely reflect a combined effect on both onset and persistence of CWP rather than onset alone
  • Socio-economic classification was based on a 1982 Statistics Sweden occupation system and is an imperfect estimate
  • As an observational study it cannot establish causation

Key Takeaways for Patients

What This Means for You

  1. 01Persistent trouble sleeping (falling asleep, staying asleep, waking too early, or not feeling rested) and ongoing fatigue may raise the risk of developing chronic widespread body pain years later.
  2. 02Having several sleep problems at once appears to carry the highest risk: about 1 in 4 people with all four sleep complaints developed widespread pain within 5 years, versus about 1 in 25 of those with none.
  3. 03Trouble staying asleep stood out as the sleep issue most strongly linked to widespread pain nearly two decades later.
  4. 04This is an observational study, so it shows an association, not proof that poor sleep causes widespread pain - but it supports asking about and addressing sleep and fatigue early in care.
  5. 05If you have widespread pain or are at risk, talking with a clinician about your sleep quality and energy levels may be a worthwhile part of your assessment.

Read the Full Paper

Access the complete peer-reviewed study from BMC Musculoskeletal Disorders

View Full Study

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