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一项前瞻性真实世界研究,探索被动收集的追踪器数据与紧张型头痛和偏头痛患者头痛负担之间的关联。

A Prospective Real-World Study Exploring Associations Between Passively Collected Tracker Data and Headache Burden Among Individuals with Tension-Type Headache and Migraine.

作者信息

Cerrada Christian J, Min Jae S, Constantin Luminita, Hitier Simon, Igracki Turudic Iva, Amand-Bourdon Caroline, Stewart Andrew, Ebel-Bitoun Caty, Goadsby Peter J

机构信息

Evidation Health, San Mateo, CA, USA.

Consumer Healthcare, Sanofi, Gentilly, France.

出版信息

Pain Ther. 2022 Mar;11(1):153-170. doi: 10.1007/s40122-021-00336-y. Epub 2021 Dec 7.

Abstract

INTRODUCTION

Prevalence and burden of headache disorders in real-world settings is relatively unstudied. We explored the associations between passively collected activity data, headache burden, and quality of life in headache sufferers.

METHODS

Data from wearable activity tracking devices and daily short questionnaires were collected over 12 weeks to assess occurrence of headache, activity, quality of life and self-rated health. Variables were analyzed using a series of mixed-effects models and stratified based on headache type. Multiple linear and logistic regressions were used to analyze treatment preferences.

RESULTS

Behaviors inferred from activity tracker data suggested that individuals slept more, had reduced physical activity, and had lower maximum heart rate on days with headache. As headache-specific impact on quality of life increased, activity and maximum heart rate decreased and sleep increased. Headache days with higher self-rated health were associated with less napping, higher step count and maximum heart rate, correlating with increased activity. Migraineurs experienced greater burden in everyday life compared with tension-type headache sufferers.

CONCLUSION

This study adds to existing evidence that activity trackers can be used to quantify headache burden in real-world settings and aid in understanding symptom management.

摘要

引言

现实环境中头痛疾病的患病率和负担相对缺乏研究。我们探讨了被动收集的活动数据、头痛负担与头痛患者生活质量之间的关联。

方法

通过可穿戴活动追踪设备和每日简短问卷收集了12周的数据,以评估头痛的发生情况、活动、生活质量和自我评估的健康状况。使用一系列混合效应模型对变量进行分析,并根据头痛类型进行分层。采用多元线性和逻辑回归分析治疗偏好。

结果

从活动追踪器数据推断出的行为表明,个体在头痛日睡眠更多、身体活动减少且最高心率较低。随着头痛对生活质量的特定影响增加,活动和最高心率降低,睡眠增加。自我评估健康状况较高的头痛日与较少的小睡、较高的步数和最高心率相关,这与活动增加相关。与紧张型头痛患者相比,偏头痛患者在日常生活中负担更重。

结论

本研究补充了现有证据,即活动追踪器可用于在现实环境中量化头痛负担,并有助于理解症状管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d66f/8861247/9ecc4e664fb5/40122_2021_336_Fig1_HTML.jpg

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