Data for Cognitive-behavioural pathways from pain to poor sleep quality and emotional distress in the general population: The indirect effect of sleep-related anxiety and sleep hygiene

This cross-sectional study used data from an online survey that collected information about pain (Brief Pain Inventory), sleep (Pittsburgh Sleep Quality Index; Sleep Hygiene Index; Anxiety and Preoccupation about Sleep Questionnaire) and emotional distress (PROMIS measures; Perceived Stress Scale). Structural equation modelling examined the tenability of a framework linking these factors. Results Of 468 survey respondents (mean age 39 years, 60% female), 29% reported pain (mean severity 1.12), most commonly in the spine or low back (28%).

Pain severity correlated with poor sleep quality, poor sleep hygiene, anxiety about sleep and emotional distress. In the first structural equation model, indirect effects were identified between pain severity and sleep quality through anxiety about sleep (β = .08, p < .001) and sleep hygiene (β = .12, p < .001). In the second model, an indirect effect was identified between pain severity and emotional distress through sleep quality (β = .19, p < .01).

Combining these models, indirect effects were identified between pain severity and emotional distress through anxiety about sleep, sleep hygiene and sleep quality. Conclusions This study provides data to support the tenability of a theoretically guided framework linking pain, sleep and emotional distress. If upheld by experimental and/or longitudinal study, this framework holds the potential to inform public health initiatives and more comprehensive pain assessment.<br><br>Due to ethical reasons, data underlying the article is not publically available.

Data are available upon request to the University of Warwick Research Data Team researchdata@warwick.ac.uk To access the data the following conditions must be satisfied: 1) Affiliation with the university or research centre 2) Using the data in accordance with the General Data Protection Regulations, EU and the Data Protection Act 2018, UK 3) Using the data purely for research purposes 4) Not using the data for commercial purposes 5) Not giving access to data to anyone else without the permission of the corresponding author 6) Ensuring that storage and access to the data is secure 7) Restraining from the attempts of identifying individuals in the data; preserving their confidentiality 8) Destroying the data and all copies of the data after finishing the analysis of the data