Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response

被引:9
|
作者
Ali, Farzana Z. [1 ]
Parsey, Ramin V. [1 ,2 ,3 ,4 ]
Lin, Shan [5 ]
Schwartz, Joseph [2 ]
DeLorenzo, Christine [1 ,2 ,6 ]
机构
[1] SUNY Stony Brook, Dept Biomed Engn, 100 Nicolls Rd, Stony Brook, NY 11794 USA
[2] SUNY Stony Brook, Dept Psychiat, Renaissance Sch Med, 100 Nicolls Rd, Stony Brook, NY 11794 USA
[3] SUNY Stony Brook, Dept Psychol, 100 Nicolls Rd, Stony Brook, NY 11794 USA
[4] SUNY Stony Brook, Dept Radiol, 100 Nicolls Rd, Stony Brook, NY 11794 USA
[5] SUNY Stony Brook, Dept Elect & Comp Engn, 100 Nicolls Rd, Stony Brook, NY 11794 USA
[6] Columbia Univ, Dept Psychiat, 1051 Riverside Dr, New York, NY 10032 USA
基金
美国国家卫生研究院;
关键词
MAJOR DEPRESSIVE DISORDER; MENTAL-HEALTH-SERVICES; REST-ACTIVITY RHYTHMS; PHYSICAL-ACTIVITY; MOTOR-ACTIVITY; ACTIVITY MONITORS; SEDENTARY BEHAVIOR; ACTIVITY PATTERNS; UNITED-STATES; ACTIGRAPHY;
D O I
10.1038/s41746-023-00827-6
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
Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression.
引用
收藏
页数:11
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