The effect of age and chronotype on seasonality, sleep problems, and mood

Höller, Yvonne; Guðjónsdóttir, Bryndís Elsa; Valgeirsdóttir, Stefanía Kristín; Heimisson, Gudmundur T.

doi:10.1016/j.psychres.2021.113722

Cited by 28 publications

(25 citation statements)

References 67 publications

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“…The scale can be scored with a total composite score ranging from 0 to 42. The original scale was validated by ( 58 ) and the Icelandic version had been translated and validated previously ( 50 ).…”

Section: Methodsmentioning

confidence: 99%

“…When discussing EEG studies on SAD one should critically note that SAD is more common at young age ( 4 , 5 , 50 ), while EEG bandpower changes with age in so far as the dominant rhythm—usually alpha—shifts to a lower frequency range ( 51 ). This shift consists typically of higher power in lower frequency ranges (delta-theta) and lower power in higher frequency ranges (alpha-beta).…”

Section: Introductionmentioning

confidence: 99%

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EEG-responses to mood induction interact with seasonality and age

et al. 2022

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The EEG is suggested as a potential diagnostic and prognostic biomarker for seasonal affective disorder (SAD). As a pre-clinical form of SAD, seasonality is operationalized as seasonal variation in mood, appetite, weight, sleep, energy, and socializing. Importantly, both EEG biomarkers and seasonality interact with age. Inducing sad mood to assess cognitive vulnerability was suggested to improve the predictive value of summer assessments for winter depression. However, no EEG studies have been conducted on induced sad mood in relation to seasonality, and no studies so far have controlled for age. We recorded EEG and calculated bandpower in 114 participants during rest and during induced sad mood in summer. Participants were grouped by age and based on a seasonality score as obtained with the seasonal pattern assessment questionnaire (SPAQ). Participants with high seasonality scores showed significantly larger changes in EEG power from rest to sad mood induction, specifically in the alpha frequency range (p = 0.027), compared to participants with low seasonality scores. Furthermore, seasonality interacted significantly with age (p < 0.001), with lower activity in individuals with high seasonality scores that were older than 50 years but the opposite pattern in individuals up to 50 years. Effects of sad mood induction on brain activity are related to seasonality and can therefore be consider as potential predicting biomarkers for SAD. Future studies should control for age as a confounding factor, and more studies are needed to elaborate on the characteristics of EEG biomarkers in participants above 50 years.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

EEG-responses to mood induction interact with seasonality and age

et al. 2022

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“…In addition, measures of shift work status in studies included in the present review did not provide enough detail to decipher whether participants had been carrying out shift work before the pandemic, and if so, for how long. Moreover, individual variation in tolerance to shift work was not accounted for in the present analyses (Ritonja et al, 2019; Höller et al, 2021). In addition, studies in which shift work was measured did not provide information related to recovery time between shifts.…”

Section: Discussionmentioning

confidence: 99%

Sleep of Healthcare Workers During the COVID-19 Pandemic and the Role of Atypical Work Schedules: A Scoping Review

et al. 2022

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The COVID-19 pandemic has negatively impacted the well-being of healthcare workers (HCWs). HCWs are highly exposed to shift work and their work schedules have been subject to increasing unpredictability since the start of the pandemic. This review aims to: (1) map the studies providing information about factors associated with sleep characteristics in HCWs working in the context of the COVID-19 pandemic during the first and second waves and (2) examine the state of the evidence base in terms of the availability of information on the influence of atypical work schedules. A literature search was performed in PubMed. Studies containing information about factors (demographic; psychological; occupational; COVID-19-specific; work schedule; lifestyle; medical; or other) associated with various sleep characteristics among HCWs working in the context of the COVID-19 pandemic were included. Particular attention was paid to the availability of information on the role of atypical work schedules on HCW sleep. Fifty-seven articles met the inclusion criteria. Most studies were reports of quantitative cross-sectional surveys using self-report measures. Associations between female sex, frontline HCW status, psychological factors, and poorer sleep were observed. Six studies included a measure of shift work in their analyses, 5 of which reported an association between shift work status and sleep. A wide range of factors were investigated, with female sex, frontline HCW status, and psychological factors repeatedly demonstrating associations with poorer sleep. Sleep was predominantly measured in terms of self-reported sleep quality or insomnia symptoms. Few studies investigated the influence of atypical work schedules on HCW sleep in the context of the COVID-19 pandemic. Research on this topic is lacking in terms of reliable and consistent measurements of sleep outcomes, longitudinal data, and knowledge about the influence of covariates such atypical work schedules, comorbidity, and medical history on HCW sleep.

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“…Sleep patterns also vary seasonally with change in the length of the day with longer sleep periods and more sedentary behavior observed during winter months (8)(9)(10)(11)(12). For healthy adults, this seasonal effect on sleep duration may be related to individual chronotype, with those tending to be more active in the evening more affected by seasonal changes (13). A longitudinal study followed the sleep patterns of 216 adults across the United States for 1 year, also finding that wake times and sleep duration varied with seasons with wake times becoming earlier in the spring (14).…”

Section: Introductionmentioning

confidence: 99%

Association Between Mild Cognitive Impairment and Seasonal Rest-Activity Patterns of Older Adults

Reynolds¹,

Mattek²,

Lim³

et al. 2022

Front. Digit. Health

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Seasonal variation in rest-activity patterns has been observed in healthy adult populations. This study examined seasonal variation in total time spent overnight in the bedroom by cognitively intact older adults and older adults with mild cognitive impairment (MCI). We hypothesize that seasonal variation in rest-activity patterns is observed in the cognitively intact group and that this variation is disturbed in those with MCI. Study participants were 128 older adults; mean age 85.2 years. Ninety-eight were cognitively intact, and 30 had been diagnosed with MCI. All were enrolled in an ongoing longitudinal study using in-home passive monitoring technology. Infrared presence sensors were placed throughout each participant's home to monitor movement and presence in each room of the home. Activity data was collected from the sensors over a period of up to 527 days. Overnight time in bedroom was found to vary seasonally for the cognitively intact group, with longer times spent overnight in the bedroom during the winter months. This seasonal variation was not observed for those with non-amnestic MCI. MCI is associated with an attenuation of seasonal variation in total time spent in the bedroom at night. Detection of changes in infradian sleep patterns may be an early marker of cognitive decline. Which key determinants are driving these disturbed rhythms, such as features intrinsic to changes in the brain or to environmental factors or external cues, remains an important question for ongoing and future studies.

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The effect of age and chronotype on seasonality, sleep problems, and mood

Cited by 28 publications

References 67 publications

EEG-responses to mood induction interact with seasonality and age

EEG-responses to mood induction interact with seasonality and age

Sleep of Healthcare Workers During the COVID-19 Pandemic and the Role of Atypical Work Schedules: A Scoping Review

Association Between Mild Cognitive Impairment and Seasonal Rest-Activity Patterns of Older Adults

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