Factors of depression according to actigraphy in the fall season DOI
Denis Gubin,

Yu. V. Boldyreva,

Sergey Kolomeichuk

et al.

S S Korsakov Journal of Neurology and Psychiatry, Journal Year: 2025, Volume and Issue: 125(5), P. 27 - 27

Published: May 15, 2025

Objective. To evaluate the relationship between sleep parameters, physical activity, and illumination obtained by weekly actigraphy depression symptoms measured Beck Depression Inventory (BDI-II) in young adults fall season. Material methods. The crossover study, conducted during one month, included 122 (mean age 24.40 years, 76.6% females) from Tyumen (Russia). Participants were monitored for seven days using completed Russian version of BDI-II questionnaire to assess depressive symptoms. Actigraphy data analyzed quantitative qualitative dynamic illumination, circadian rhythm motor activity. Both mean values regularity indicators recorded. Statistical analysis was performed linear multiple regression methods, Benjamini—Hochberg procedure control incidence false correlations associated with testing. Results. showed significant various actigraphic level according BDI-II. In particular, integral score significantly a decrease amplitude activity (PIM A: –0.258; p=0.005), high instability efficiency (SL_EFF SD: –0.323; p=0.0003), standard deviation moment awakening (WT inter-day stability (IS: –0.260; p=0.004), lower light hygiene index (NA_bl: –0.193; p=0.036). After comparison adjustments, low PIM A, reduced (IS), increased WT SD, SL_EFF SD remained predictors age-, sex-, body mass (BMI)-adjusted regression, (β=–0.258; p=0.006), (β=–0.302; p=0.0006), IS (β=–0.225; p=0.013) factors. Conclusion. indicate complex dynamics mental health context They emphasize critical importance parameters that as markers biological clock synchrony increase informative value improve interpretation wearable devices.

Language: Английский

Wearables in Chronomedicine and Interpretation of Circadian Health DOI Creative Commons
Denis Gubin,

Dietmar Weinert,

Oliver Stefani

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 327 - 327

Published: Jan. 30, 2025

Wearable devices have gained increasing attention for use in multifunctional applications related to health monitoring, particularly research of the circadian rhythms cognitive functions and metabolic processes. In this comprehensive review, we encompass how wearables can be used study disease. We highlight importance these as markers well-being potential predictors outcomes. focus on wearable technologies sleep research, medicine, chronomedicine beyond domain emphasize actigraphy a validated tool monitoring sleep, activity, light exposure. discuss various mathematical methods currently analyze actigraphic data, such parametric non-parametric approaches, linear, non-linear, neural network-based applied quantify non-circadian variability. also introduce novel actigraphy-derived markers, which personalized proxies status, assisting discriminating between disease, offering insights into neurobehavioral status. lifestyle factors physical activity exposure modulate brain health. establishing reference standards measures further refine data interpretation improve clinical The review calls existing tools methods, deepen our understanding health, develop healthcare strategies.

Language: Английский

Citations

3

Light Exposure, Physical Activity, and Indigeneity Modulate Seasonal Variation in NR1D1 (REV-ERBα) Expression DOI Creative Commons
Denis Gubin, Sergey Kolomeichuk, Konstantin V. Danilenko

et al.

Biology, Journal Year: 2025, Volume and Issue: 14(3), P. 231 - 231

Published: Feb. 25, 2025

Nuclear receptor subfamily 1 group D member (NR1D1 or REV-ERBα) is a crucial element of the circadian clock’s transcriptional and translational feedback loop. Understanding its expression in humans critical for elucidating role rhythms metabolic processes, finding potential links to various pathologies. In longitudinal survey, we examined REV-ERBα at 08:00 using real-time polymerase chain reaction (qRT-PCR) blood mononuclear cells from Arctic native non-native residents during equinoxes solstices. exhibited pronounced seasonality, peaking summer solstice, reaching nadir winter solstice both natives non-natives, with relatively higher peak natives. After adjusting age, sex, body mass index, amount timing light exposure, physical activity, indigeneity emerged as significant predictors expression.

Language: Английский

Citations

1

Factors of depression according to actigraphy in the fall season DOI
Denis Gubin,

Yu. V. Boldyreva,

Sergey Kolomeichuk

et al.

S S Korsakov Journal of Neurology and Psychiatry, Journal Year: 2025, Volume and Issue: 125(5), P. 27 - 27

Published: May 15, 2025

Objective. To evaluate the relationship between sleep parameters, physical activity, and illumination obtained by weekly actigraphy depression symptoms measured Beck Depression Inventory (BDI-II) in young adults fall season. Material methods. The crossover study, conducted during one month, included 122 (mean age 24.40 years, 76.6% females) from Tyumen (Russia). Participants were monitored for seven days using completed Russian version of BDI-II questionnaire to assess depressive symptoms. Actigraphy data analyzed quantitative qualitative dynamic illumination, circadian rhythm motor activity. Both mean values regularity indicators recorded. Statistical analysis was performed linear multiple regression methods, Benjamini—Hochberg procedure control incidence false correlations associated with testing. Results. showed significant various actigraphic level according BDI-II. In particular, integral score significantly a decrease amplitude activity (PIM A: –0.258; p=0.005), high instability efficiency (SL_EFF SD: –0.323; p=0.0003), standard deviation moment awakening (WT inter-day stability (IS: –0.260; p=0.004), lower light hygiene index (NA_bl: –0.193; p=0.036). After comparison adjustments, low PIM A, reduced (IS), increased WT SD, SL_EFF SD remained predictors age-, sex-, body mass (BMI)-adjusted regression, (β=–0.258; p=0.006), (β=–0.302; p=0.0006), IS (β=–0.225; p=0.013) factors. Conclusion. indicate complex dynamics mental health context They emphasize critical importance parameters that as markers biological clock synchrony increase informative value improve interpretation wearable devices.

Language: Английский

Citations

0