Intraindividual variability in sleep and perceived stress in young adults

Veeramachaneni, Kirti; Slavish, Danica C.; Dietch, Jessica R.; Kelly, Kenneth; Taylor, Daniel J.

doi:10.1016/j.sleh.2019.07.009

Cited by 30 publications

(20 citation statements)

References 40 publications

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“…Furthermore, good sleep quality has been associated with lower stress [ 31 ]. In the present study, a general increase in sleep problems and a decrease in stress was found.…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 Pandemic on Sleep Quality, Stress Level and Health-Related Quality of Life—A Large Prospective Cohort Study on Adult Danes

Didriksen

Werge

Nissen

et al. 2021

IJERPH

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The everyday lives of Danish inhabitants have been affected by the COVID-19 pandemic, e.g., by social distancing, which was employed by the government in March 2020 to prevent the spread of SARS-CoV-2. Moreover, the pandemic has entailed economic consequences for many people. This study aims to assess changes in physical and mental health-related quality of life (MCS, PCS), in stress levels, and quality of sleep during the COVID-19 pandemic and to identify factors that impact such changes, using a prospective national cohort study including 26,453 participants from the Danish Blood Donor Study who answered a health questionnaire before the pandemic and during the pandemic. Descriptive statistics, multivariable linear and multinomial logistic regression analyses were applied. A worsening of MCS and quality of sleep was found, and an overall decrease in stress levels was observed. PCS was decreased in men and slightly increased in women. The extent of health changes was mainly affected by changes in job situation, type of job, previous use of anti-depressive medication and the participants’ level of personal stamina. Thus, living under the unusual circumstances that persisted during the COVID-19 pandemic has had a negative impact on the health of the general population. This may, in time, constitute a public health problem.

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“…Furthermore, good sleep quality has been associated with lower stress [ 31 ]. In the present study, a general increase in sleep problems and a decrease in stress was found.…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 Pandemic on Sleep Quality, Stress Level and Health-Related Quality of Life—A Large Prospective Cohort Study on Adult Danes

Didriksen

Werge

Nissen

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Although several studies have shown that people with more variable PA tend to have shorter and less efficient sleep on average (e.g., Leger et al, 2019 ; Ong et al, 2013 ), existing research on sleep variability and mental health has predominantly focused on linkages with psychological distress (e.g., perceived stress, depressive symptoms; Bei et al, 2016 ; Veeramachaneni et al, 2019 ). Our study builds on and extends this literature on sleep variability by focusing on positive aspects of well-being, namely PA in daily life.…”

Section: Discussionmentioning

confidence: 99%

Associations Between Intraindividual Variability in Sleep and Daily Positive Affect

et al. 2021

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“…Similarly, sedentary time was positively associated with depression and anxiety [ 61 ] and negatively associated with TST [ 62 ] and HRV [ 63 ]. Finally, Fitbit-measured TST was also used as a control variable in the analyses for stress and mental exhaustion because intraindividual variability in accelerometer-measured TST has been associated with increased stress [ 64 ].…”

Section: Methodsmentioning

confidence: 99%

Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring

Vries¹,

Kamphuis²,

Oldenhuis³

et al. 2021

JMIR Cardio

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Background The emergence of smartphones and wearable sensor technologies enables easy and unobtrusive monitoring of physiological and psychological data related to an individual’s resilience. Heart rate variability (HRV) is a promising biomarker for resilience based on between-subject population studies, but observational studies that apply a within-subject design and use wearable sensors in order to observe HRV in a naturalistic real-life context are needed. Objective This study aims to explore whether resting HRV and total sleep time (TST) are indicative and predictive of the within-day accumulation of the negative consequences of stress and mental exhaustion. The tested hypotheses are that demands are positively associated with stress and resting HRV buffers against this association, stress is positively associated with mental exhaustion and resting HRV buffers against this association, stress negatively impacts subsequent-night TST, and previous-evening mental exhaustion negatively impacts resting HRV, while previous-night TST buffers against this association. Methods In total, 26 interns used consumer-available wearables (Fitbit Charge 2 and Polar H7), a consumer-available smartphone app (Elite HRV), and an ecological momentary assessment smartphone app to collect resilience-related data on resting HRV, TST, and perceived demands, stress, and mental exhaustion on a daily basis for 15 weeks. Results Multiple linear regression analysis of within-subject standardized data collected on 2379 unique person-days showed that having a high resting HRV buffered against the positive association between demands and stress (hypothesis 1) and between stress and mental exhaustion (hypothesis 2). Stress did not affect TST (hypothesis 3). Finally, mental exhaustion negatively predicted resting HRV in the subsequent morning but TST did not buffer against this (hypothesis 4). Conclusions To our knowledge, this study provides first evidence that having a low within-subject resting HRV may be both indicative and predictive of the short-term accumulation of the negative effects of stress and mental exhaustion, potentially forming a negative feedback loop. If these findings can be replicated and expanded upon in future studies, they may contribute to the development of automated resilience interventions that monitor daily resting HRV and aim to provide users with an early warning signal when a negative feedback loop forms, to prevent the negative impact of stress on long-term health outcomes.

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Intraindividual variability in sleep and perceived stress in young adults

Cited by 30 publications

References 40 publications

Impact of COVID-19 Pandemic on Sleep Quality, Stress Level and Health-Related Quality of Life—A Large Prospective Cohort Study on Adult Danes

Impact of COVID-19 Pandemic on Sleep Quality, Stress Level and Health-Related Quality of Life—A Large Prospective Cohort Study on Adult Danes

Associations Between Intraindividual Variability in Sleep and Daily Positive Affect

Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring

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