Objective Characterization of Activity, Sleep, and Circadian Rhythm Patterns Using a Wrist-Worn Actigraphy Sensor: Insights Into Posttraumatic Stress Disorder

被引:33
作者
Tsanas, Athanasios [1 ,2 ]
Woodward, Elizabeth [3 ]
Ehlers, Anke [3 ,4 ]
机构
[1] Univ Edinburgh, Usher Inst, NINE Edinburgh BioQuarter,9 Little France Rd, Edinburgh EH16 4UX, Midlothian, Scotland
[2] Univ Oxford, Oxford Ctr Ind & Appl Math, Math Inst, Oxford, England
[3] Univ Oxford, Dept Expt Psychol, Med Sci Div, Oxford, England
[4] Oxford Hlth NHS Fdn Trust, Oxford, England
基金
英国医学研究理事会; 英国惠康基金; 英国工程与自然科学研究理事会; 英国经济与社会研究理事会;
关键词
actigraphy; sleep; Geneactiv; posttraumatic stress disorder; wearable technology; PHYSICAL-ACTIVITY; BIPOLAR DISORDER; DISTURBANCE; HEALTH; ASSOCIATION; TEMPERATURE; VARIABILITY; CONFLICT; INSOMNIA; MARKERS;
D O I
10.2196/14306
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Wearables have been gaining increasing momentum and have enormous potential to provide insights into daily life behaviors and longitudinal health monitoring. However, to date, there is still a lack of principled algorithmic framework to facilitate the analysis of actigraphy and objectively characterize day-by-day data patterns, particularly in cohorts with sleep problems. Objective: This study aimed to propose a principled algorithmic framework for the assessment of activity, sleep, and circadian rhythm patterns in people with posttraumatic stress disorder (PTSD), a mental disorder with long-lasting distressing symptoms such as intrusive memories, avoidance behaviors, and sleep disturbance. In clinical practice, these symptoms are typically assessed using retrospective self-reports that are prone to recall bias. The aim of this study was to develop objective measures from patients' everyday lives, which could potentially considerably enhance the understanding of symptoms, behaviors, and treatment effects. Methods: Using a wrist-worn sensor, we recorded actigraphy, light, and temperature data over 7 consecutive days from three groups: 42 people diagnosed with PTSD, 43 traumatized controls, and 30 nontraumatized controls. The participants also completed a daily sleep diary over 7 days and the standardized Pittsburgh Sleep Quality Index questionnaire We developed a novel approach to automatically determine sleep onset and offset, which can also capture awakenings that are crucial for assessing sleep quality. Moreover, we introduced a new intuitive methodology facilitating actigraphy exploration and characterize day-by-day data across 49 activity, sleep, and circadian rhythm patterns. Results: We demonstrate that the new sleep detection algorithm closely matches the sleep onset and offset against the participants' sleep diaries consistently outperforming an existing open-access widely used approach. Participants with PTSD exhibited considerably more fragmented sleep patterns (as indicated by greater nocturnal activity, including awakenings) and greater intraday variability compared with traumatized and nontraumatized control groups, showing statistically significant (P<.05) and strong associations (vertical bar R vertical bar>0.3). Conclusions: This study lays the foundation for objective assessment of activity, sleep, and circadian rhythm patterns using passively collected data from a wrist-worn sensor, facilitating large community studies to monitor longitudinally healthy and pathological cohorts under free-living conditions. These findings may be useful in clinical PTSD assessment and could inform therapy and monitoring of treatment effects.
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页数:20
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