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有围产期抑郁症风险的女性的运动模式:孕期使用情绪监测移动应用程序

Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy.

作者信息

Faherty Laura J, Hantsoo Liisa, Appleby Dina, Sammel Mary D, Bennett Ian M, Wiebe Douglas J

机构信息

Robert Wood Johnson Foundation Clinical Scholars Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Department of Psychiatry, Penn Center for Women's Behavioral Wellness, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

J Am Med Inform Assoc. 2017 Jul 1;24(4):746-753. doi: 10.1093/jamia/ocx005.

Abstract

OBJECTIVES

To examine, using a smartphone application, whether mood is related to daily movement patterns in pregnant women at risk for perinatal depression.

MATERIALS AND METHODS

Thirty-six women with elevated depression symptoms (PHQ-9 ≥ 5) in pregnancy used the application for 8 weeks. Mood was reported using application-administered surveys daily (2 questions) and weekly (PHQ-9 and GAD-7). The application measured daily mobility (distance travelled on foot) and travel radius. Generalized linear mixed-effects regression models estimated the association between mood and movement.

RESULTS

Women with milder depression symptoms had a larger daily radius of travel (2.7 miles) than women with more severe symptoms (1.9 miles), P  = .04. There was no difference in mobility. A worsening of mood from the prior day was associated with a contracted radius of travel, as was being in the group with more severe symptoms. No significant relationships were found between anxiety and either mobility or radius.

DISCUSSION

We found that the association of mood with radius of travel was more pronounced than its association with mobility. Our study also demonstrated that a change in mood from the prior day was significantly associated with radius but not mood on the same day that mobility and radius were measured.

CONCLUSION

This study lays the groundwork for future research on how smartphone mood-monitoring applications can combine actively and passively collected data to better understand the relationship between the symptoms of perinatal depression and physical activity that could lead to improved monitoring and novel interventions.

摘要

目的

使用智能手机应用程序,研究有围产期抑郁风险的孕妇的情绪是否与日常活动模式有关。

材料与方法

36名孕期抑郁症状加重(PHQ-9≥5)的女性使用该应用程序8周。通过应用程序管理的每日(2个问题)和每周(PHQ-9和GAD-7)调查来报告情绪。该应用程序测量每日活动能力(步行距离)和出行半径。广义线性混合效应回归模型估计情绪与活动之间的关联。

结果

抑郁症状较轻的女性每日出行半径(2.7英里)大于症状较重的女性(1.9英里),P = 0.04。活动能力无差异。与前一天相比情绪恶化与出行半径缩小有关,症状较重组也是如此。未发现焦虑与活动能力或半径之间存在显著关系。

讨论

我们发现情绪与出行半径的关联比其与活动能力的关联更为明显。我们的研究还表明,与前一天相比情绪的变化与半径显著相关,但与测量活动能力和半径当天的情绪无关。

结论

本研究为未来关于智能手机情绪监测应用程序如何结合主动和被动收集的数据以更好地理解围产期抑郁症状与身体活动之间的关系奠定了基础,这可能会改善监测并带来新的干预措施。

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