Druce Katie L, Cordingley Lis, Short Vicky, Moore Susan, Hellman Bruce, James Ben, Lunt Mark, Kyle Simon D, Dixon Will G, McBeth John
Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, UK.
Division of Musculoskeletal and Dermatological Sciences, Manchester University, Manchester, UK.
BMJ Open. 2018 Jan 26;8(1):e018752. doi: 10.1136/bmjopen-2017-018752.
People with rheumatoid arthritis (RA) frequently report reduced health-related quality of life (HRQoL), the impact one's health has on physical, emotional and social well-being. There are likely numerous causes for poor HRQoL, but people with RA have identified sleep disturbances as a key contributor to their well-being. This study will identify sleep/wake rhythm-associated parameters that predict HRQoL in patients with RA.
This prospective cohort study will recruit 350 people with RA, aged 18 years or older. Following completion of a paper-based baseline questionnaire, participants will record data on 10 symptoms including pain, fatigue and mood two times a day for 30 days using a study-specific mobile application (app). A triaxial accelerometer will continuously record daytime activity and estimate evening sleep parameters over the 30 days. Every 10 days following study initiation, participants will complete a questionnaire that measures disease specific (Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF)) and generic (WHOQOL-BREF) quality of life. A final questionnaire will be completed at 60 days after entering the study. The primary outcomes are the AIMS2-SF and WHOQOL-BREF. Structural equation modelling and latent trajectory models will be used to examine the relationship between sleep/wake rhythm-associated parameters and HRQoL, over time.
Results from this study will be disseminated at regional and international conferences, in peer-reviewed journals and Patient and Public Engagement events, as appropriate.
类风湿性关节炎(RA)患者经常报告其健康相关生活质量(HRQoL)下降,即个人健康对身体、情感和社会幸福感的影响。HRQoL低下可能有多种原因,但RA患者已确定睡眠障碍是影响其幸福感的关键因素。本研究将确定与睡眠/觉醒节律相关的参数,这些参数可预测RA患者的HRQoL。
这项前瞻性队列研究将招募350名18岁及以上的RA患者。在完成纸质基线问卷后,参与者将使用特定研究的移动应用程序(app),连续30天每天两次记录包括疼痛、疲劳和情绪在内的10种症状的数据。三轴加速度计将持续记录白天的活动,并估算30天内的夜间睡眠参数。研究开始后的每10天,参与者将完成一份问卷,该问卷用于测量特定疾病(关节炎影响测量量表2-简表(AIMS2-SF))和通用(世界卫生组织生活质量简表(WHOQOL-BREF))的生活质量。在进入研究60天后将完成一份最终问卷。主要结局指标为AIMS2-SF和WHOQOL-BREF。将使用结构方程模型和潜在轨迹模型来研究睡眠/觉醒节律相关参数与HRQoL随时间的关系。
本研究结果将在地区和国际会议、同行评审期刊以及患者和公众参与活动中酌情进行传播。