Relationship Between Sleep Quality and Mood: Ecological Momentary Assessment Study (Preprint)

BACKGROUND Sleep disturbances play an important role in everyday affect and vice versa. However, the causal day-to-day interaction between sleep and mood has not been thoroughly explored, partly because of the lack of daily assessment data. Mobile phones enable us to collect ecological momentary assessment data on a daily basis in a noninvasive manner. OBJECTIVE This study aimed to investigate the relationship between self-reported daily mood and sleep quality. METHODS A total of 208 adult participants were recruited to report mood and sleep patterns daily via their mobile phones for 6 consecutive weeks. Participants were recruited in 4 roughly equal groups: depressed and anxious, depressed only, anxious only, and controls. The effect of daily mood on sleep quality and vice versa were assessed using mixed effects models and propensity score matching. RESULTS All methods showed a significant effect of sleep quality on mood and vice versa. However, within individuals, the effect of sleep quality on next-day mood was much larger than the effect of previous-day mood on sleep quality. We did not find these effects to be confounded by the participants’ past mood and sleep quality or other variables such as stress, physical activity, and weather conditions. CONCLUSIONS We found that daily sleep quality and mood are related, with the effect of sleep quality on mood being significantly larger than the reverse. Correcting for participant fixed effects dramatically affected results. Causal analysis suggests that environmental factors included in the study and sleep and mood history do not mediate the relationship.

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Relationship Between Sleep Quality and Mood: Ecological Momentary Assessment Study

JMIR Mental Health ◽

10.2196/12613 ◽

2019 ◽

Vol 6 (3) ◽

pp. e12613 ◽

Cited By ~ 5

Author(s):

Sofia Triantafillou ◽

Sohrab Saeb ◽

Emily G Lattie ◽

David C Mohr ◽

Konrad Paul Kording

Keyword(s):

Sleep Quality ◽

Mobile Phones ◽

Ecological Momentary Assessment ◽

Fixed Effects ◽

Sleep Disturbances ◽

Weather Conditions ◽

Assessment Data ◽

Ecological Momentary ◽

The Relationship ◽

Momentary Assessment

Background Sleep disturbances play an important role in everyday affect and vice versa. However, the causal day-to-day interaction between sleep and mood has not been thoroughly explored, partly because of the lack of daily assessment data. Mobile phones enable us to collect ecological momentary assessment data on a daily basis in a noninvasive manner. Objective This study aimed to investigate the relationship between self-reported daily mood and sleep quality. Methods A total of 208 adult participants were recruited to report mood and sleep patterns daily via their mobile phones for 6 consecutive weeks. Participants were recruited in 4 roughly equal groups: depressed and anxious, depressed only, anxious only, and controls. The effect of daily mood on sleep quality and vice versa were assessed using mixed effects models and propensity score matching. Results All methods showed a significant effect of sleep quality on mood and vice versa. However, within individuals, the effect of sleep quality on next-day mood was much larger than the effect of previous-day mood on sleep quality. We did not find these effects to be confounded by the participants’ past mood and sleep quality or other variables such as stress, physical activity, and weather conditions. Conclusions We found that daily sleep quality and mood are related, with the effect of sleep quality on mood being significantly larger than the reverse. Correcting for participant fixed effects dramatically affected results. Causal analysis suggests that environmental factors included in the study and sleep and mood history do not mediate the relationship.

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The Relationship between Sleep Quality and Depressive Mood in University Students Experiencing Financial Difficulties: An Ecological Momentary Assessment Study

Korean Journal of Clinical Psychology ◽

10.15842/kjcp.2021.40.3.006 ◽

2021 ◽

Vol 40 (3) ◽

pp. 250-259

Author(s):

Eun Jung Yang ◽

Eun-Jung Shim

Keyword(s):

University Students ◽

Sleep Quality ◽

Ecological Momentary Assessment ◽

Depressive Mood ◽

Financial Difficulties ◽

Assessment Study ◽

Ecological Momentary ◽

The Relationship ◽

Momentary Assessment

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Understanding Contexts of Smoking and Vaping Among Dual Users: Analysis of Ecological Momentary Assessment Data

Addiction ◽

10.1111/add.15747 ◽

2021 ◽

Author(s):

Megan E. Piper ◽

Timothy B. Baker ◽

Deejay Zwaga ◽

Daniel M. Bolt ◽

Kate Kobinsky ◽

...

Keyword(s):

Ecological Momentary Assessment ◽

Assessment Data ◽

Ecological Momentary ◽

Momentary Assessment

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Latent trait shared-parameter mixed models for missing ecological momentary assessment data

Statistics in Medicine ◽

10.1002/sim.7989 ◽

2018 ◽

Vol 38 (4) ◽

pp. 660-673 ◽

Cited By ~ 3

Author(s):

John F. Cursio ◽

Robin J. Mermelstein ◽

Donald Hedeker

Keyword(s):

Ecological Momentary Assessment ◽

Mixed Models ◽

Latent Trait ◽

Assessment Data ◽

Ecological Momentary ◽

Momentary Assessment

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SWAY: Sleep disturbance as an early warning sign of suicidality in psychiatric inpatients transitioning to the community: an ecological momentary assessment study protocol (Preprint)

10.2196/preprints.33817 ◽

2021 ◽

Author(s):

Lindsay Dewa ◽

Sofia Pappa ◽

Talya Greene ◽

James Cooke ◽

Lizzie Mitchell ◽

...

Keyword(s):

Hospital Discharge ◽

Psychiatric Hospital ◽

Ecological Momentary Assessment ◽

Psychiatric Inpatients ◽

Poor Sleep ◽

Inpatient Setting ◽

Initial Hospital ◽

Ecological Momentary ◽

The Relationship ◽

Momentary Assessment

BACKGROUND Patients are at high risk of suicidal behaviour and death by suicide immediately following discharge from an inpatient psychiatric hospital. Furthermore, there is a high prevalence of sleep problems in inpatient settings which is associated with worse outcomes following hospitalisation. However, it is unknown whether poor sleep is associated with suicidality following initial hospital discharge. Our study aim is to examine the relationship between sleep and suicidality in discharged patients using ecological momentary assessment (EMA). OBJECTIVE To examine the relationship between subjective and objective sleep parameters and suicidality in young psychiatric inpatients transitioning to the community, and to explore the underlying mechanisms of this relationship using an adapted Integrated Motivational-Volitional (IMV) model. METHODS Our study will be the first co-produced prospective EMA using a wearable device to examine the sleep-suicide relationship during the transition from acute inpatient care to the community. Prospectively discharged inpatients aged 18-35 with a mental disorder (n>50) will be assessed for eligibility and recruited across two sites. Data on suicidal ideation, behaviour and imagery, non-suicidal self-harm and imagery, defeat, entrapment, and hopelessness, affect and sleep will be collected on the Pro-Diary V wrist-worn electronic watch for up to 14 days. Objective sleep and daytime activity will be measured using the inbuilt MotionWare software. Questionnaires will be administered face-to-face at baseline and follow-up while data will also be collected on the acceptability and feasibility of using the Pro-Diary V watch to monitor the transition following discharge. The study has been, and will continue to be, co-produced with young people with experience of being in an inpatient setting and suicidality. RESULTS South Birmingham Research Ethics Committee (Ref: 21/WM/0128) approved the study on June 28th 2021. We expect to see a relationship between poor sleep and post-discharge suicidality. Results will be available in 2022. CONCLUSIONS This will be the first EMA study to examine the relationship between sleep and suicidality, and to apply the IMV model in young patients transitioning from psychiatric hospital to community. We expect findings will directly influence policy and clinical practice, including the introduction of digital monitoring of suicidality and/or sleep before and after initial hospital discharge.

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