Katarina Aili1, Teresia Nyman2, Lena Hillert3, Magnus Svartengren4. 1. Karolinska Instutitet, Institute of Environmental Medicine, Stockholm, Sweden Katarina.aili@ki.se. 2. Karolinska Instutitet, Institute of Environmental Medicine, Stockholm, Sweden KTH Royal Institute of Technology, School of Technology and Health, Stockholm, Sweden. 3. Karolinska Instutitet, Institute of Environmental Medicine, Stockholm, Sweden. 4. Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Abstract
BACKGROUND: Musculoskeletal pain is one of the most common causes of sickness absence. Sleep disturbances are often co-occurring with pain, but the relationship between sleep and pain is complex. Little is known about the importance of self-reported sleep, when predicting sickness absence among persons with musculoskeletal pain. This study aims to study the association between self-reported sleep quality and sickness absence 5 years later, among individuals stratified by presence of lower back pain (LBP) and neck and shoulder pain (NSP). METHODS: The cohort (n = 2286) in this 5-year prospective study (using data from the MUSIC-Norrtälje study) was stratified by self-reported pain into three groups: no LBP or NSP, solely LBP or NSP, and concurrent LBP and NSP. Odds ratios (ORs) for the effect of self-reported sleep disturbances at baseline on sickness absence (> 14 consecutive days), 5 years later, were calculated. RESULTS: Within all three pain strata, individuals reporting the most sleep problems showed a significantly higher OR for all-cause sickness absence, 5 years later. The group with the most pronounced sleep problems within the concurrent LBP and NSP stratum had a significantly higher OR (OR 2.00; CI 1.09-3.67) also for long-term sickness absence (> 90 days) 5 years later, compared to the group with the best sleep. CONCLUSIONS Sleep disturbances predict sickness absence among individuals regardless of co-existing features of LBP and/or NSP. The clinical evaluation of patients should take possible sleep disturbances into account in the planning of treatments.
BACKGROUND:Musculoskeletal pain is one of the most common causes of sickness absence. Sleep disturbances are often co-occurring with pain, but the relationship between sleep and pain is complex. Little is known about the importance of self-reported sleep, when predicting sickness absence among persons with musculoskeletal pain. This study aims to study the association between self-reported sleep quality and sickness absence 5 years later, among individuals stratified by presence of lower backpain (LBP) and neck and shoulder pain (NSP). METHODS: The cohort (n = 2286) in this 5-year prospective study (using data from the MUSIC-Norrtälje study) was stratified by self-reported pain into three groups: no LBP or NSP, solely LBP or NSP, and concurrent LBP and NSP. Odds ratios (ORs) for the effect of self-reported sleep disturbances at baseline on sickness absence (> 14 consecutive days), 5 years later, were calculated. RESULTS: Within all three pain strata, individuals reporting the most sleep problems showed a significantly higher OR for all-cause sickness absence, 5 years later. The group with the most pronounced sleep problems within the concurrent LBP and NSP stratum had a significantly higher OR (OR 2.00; CI 1.09-3.67) also for long-term sickness absence (> 90 days) 5 years later, compared to the group with the best sleep. CONCLUSIONS Sleep disturbances predict sickness absence among individuals regardless of co-existing features of LBP and/or NSP. The clinical evaluation of patients should take possible sleep disturbances into account in the planning of treatments.
Authors: Katarina Aili; Sofia Åström-Paulsson; Ulrich Stoetzer; Magnus Svartengren; Lena Hillert Journal: J Clin Sleep Med Date: 2017-01-15 Impact factor: 4.062
Authors: Katarina Aili; Maria Andersson; Ann Bremander; Emma Haglund; Ingrid Larsson; Stefan Bergman Journal: BMC Musculoskelet Disord Date: 2018-11-03 Impact factor: 2.362
Authors: Adrian C Traeger; Nicholas Henschke; Markus Hübscher; Christopher M Williams; Steven J Kamper; Christopher G Maher; G Lorimer Moseley; James H McAuley Journal: PLoS Med Date: 2016-05-17 Impact factor: 11.069