Discovering different profiles in the dynamics of depression based on real–time monitoring of mood: a first exploration,Internet Interventions

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Discovering different profiles in the dynamics of depression based on real–time monitoring of mood: a first exploration
Internet Interventions ( IF 3.6 ) Pub Date : 2021-07-27 , DOI: 10.1016/j.invent.2021.100437
Claire R van Genugten _{1,

2} , Josien Schuurmans _{1,

2} , Wouter van Ballegooijen _{1,

2,

3} , Adriaan W Hoogendoorn _{1,

2} , Jan H Smit _{1,

2} , Heleen Riper _{1,

2,

3,

4}

Affiliation

Background

Although depression is typically characterized by a persistent depressed mood, mood dynamics do seem to vary across a depressed population. Heterogeneity of mood variability (magnitude of changes) and emotional inertia (speed at which mood shifts) is seen in clinical practice. However, studies investigating the heterogeneity of these mood dynamics are still scarce. The aim of the present study is to explore different distinctive profiles in real-time monitored mood dynamics among depressed persons.

Methods

After completing baseline measures, mildly-to-moderately depressed persons (n = 37) were prompted to rate their current mood (1–10 scale) on their smartphones, 3 times a day for 7 consecutive days. Latent profile analyses were applied to identify profiles based on average mood, variability of mood and emotional inertia as reported by the participants.

Results

Two profiles were identified in this sample. The overwhelming majority of the sample belonged to profile 1 (n = 31). Persons in profile 1 were characterized by a mood just above the cutoff for positive mood (M = 6.27), with smaller mood shifts (lower variability [SD = 1.05]) than those in profile 2 (n = 6), who displayed an overall negative mood (M = 4.72) and larger mood shifts (higher variability [SD = 1.95]) but at similar speed (emotional inertia) (AC = 0.19, AC = 0.26, respectively).

Conclusions

The present study provides preliminary indications for patterns of average mood and mood variability, but not emotional inertia, among mildly-to-moderately depressed persons.

中文翻译：

基于实时情绪监测发现抑郁动态的不同特征：第一次探索

背景

虽然抑郁症通常以持续的抑郁情绪为特征，但情绪动态似乎在抑郁症人群中有所不同。在临床实践中可以看到情绪变异性（变化幅度）和情绪惯性（情绪转变的速度）的异质性。然而，调查这些情绪动态的异质性的研究仍然很少。本研究的目的是探索抑郁症患者实时监测情绪动态的不同特征。

方法

完成基线测量后，提示轻度至中度抑郁者 ( n = 37) 在智能手机上评估他们当前的情绪（1-10 级），每天 3 次，连续 7 天。根据参与者报告的平均情绪、情绪变化和情绪惯性，应用潜在概况分析来识别概况。

结果

在该样本中确定了两个配置文件。绝大多数样本属于配置文件 1 ( n = 31)。配置文件 1 中的人的特征是情绪略高于积极情绪的临界值 (M = 6.27)，与配置文件 2 ( n = 6) 中的人相比，情绪变化更小（变异性较低 [SD = 1.05]），他们表现出总体负面情绪（M = 4.72）和更大的情绪变化（更高的变异性 [SD = 1.95]）但速度相似（情绪惯性）（分别为 AC = 0.19，AC = 0.26）。