Spotted around the web: Preterm birth; wearable devices; acetylcholine DOI Open Access

Jill Adams

The Transmitter, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Language: Английский

A systematic review of ambient heat and sleep in a warming climate DOI Creative Commons
Guillaume Chevance, Kelton Minor, Constanza Vielma

et al.

Sleep Medicine Reviews, Journal Year: 2024, Volume and Issue: 75, P. 101915 - 101915

Published: March 6, 2024

Climate change is elevating nighttime and daytime temperatures worldwide, affecting a broad continuum of behavioral health outcomes. Disturbed sleep plausible pathway linking rising ambient with several observed adverse human responses shown to increase during hot weather. This systematic review aims provide comprehensive overview the literature investigating relationship between temperature valid outcomes measured in real-world settings, globally. We show that higher outdoor or indoor are generally associated degraded quality quantity worldwide. The negative effect heat persists across measures, stronger hottest months days, vulnerable populations, warmest regions. Although we identify opportunities strengthen state science, limited evidence fast adaptation suggests induced by climate urbanization pose planetary threat sleep, therefore health, performance, wellbeing.

Language: Английский

Citations

31

Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program DOI Creative Commons
Neil S. Zheng, Jeffrey Annis, Hiral Master

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(9), P. 2648 - 2656

Published: July 19, 2024

Abstract Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional self-reported survey data or polysomnograms, which limitations respect to granularity, sample size longitudinal information. Here, using objectively measured, from commercial wearable devices linked electronic record the All Us Research Program, we show that patterns, including stages, duration regularity, are disease incidence. Of 6,785 participants included in this study, 71% were female, 84% self-identified as white had a college degree; median age was 50.2 years (interquartile range = 35.7, 61.5) monitoring period 4.5 (2.5, 6.5). We found rapid eye movement deep inversely odds incident atrial fibrillation irregularity obesity, hyperlipidemia, hypertension, major depressive disorder generalized anxiety disorder. Moreover, J-shaped associations observed between average daily These findings regularity all important factors development may inform evidence-based recommendations healthy sleeping habits.

Language: Английский

Citations

30

Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs DOI Creative Commons
Thomas Svensson, Kaushalya Madhawa,

Hoang Nt

et al.

Sleep Medicine, Journal Year: 2024, Volume and Issue: 115, P. 251 - 263

Published: Jan. 26, 2024

. To evaluate the validity and reliability of Oura Ring Generation 3 (Gen3) with Sleep Staging Algorithm 2.0 (OSSA 2.0) through multi-night polysomnography (PSG). Participants were 96 generally healthy Japanese men women aged between 20 70 years contributing 421,045 30-s epochs. scoring was performed according to American Academy Medicine criteria. Each participant could contribute a maximum three (PSG) nights. Within-participant means created for each sleep measure paired t-tests used compare equivalent measures obtained from PSG Rings (non-dominant dominant hand). Agreement assessed using Bland-Altman plots. Interrater epoch accuracy determined by prevalence-adjusted bias-adjusted kappa (PABAK). The did not significantly differ time in bed, total time, onset latency, period wake after onset, spent light sleep, deep sleep. worn on non-dominant- dominant-hand underestimated efficiency 1.1 %–1.5 % REM 4.1–5.6 min. had sensitivity 94.4 %–94.5 %, specificity 73.0 %–74.6 predictive value 95.9 %–96.1 66.6 %–67.0 91.7 %–91.8 %. PABAK 0.83–0.84 94.8 staging ranged 75.5 (light sleep) 90.6 (REM sleep). Gen3 OSSA shows good agreement global

Language: Английский

Citations

19

Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data DOI Creative Commons
Yun Min Song, Jaegwon Jeong, Aurelio A. de los Reyes V

et al.

EBioMedicine, Journal Year: 2024, Volume and Issue: 103, P. 105094 - 105094

Published: April 4, 2024

Sleep and circadian rhythm disruptions are common in patients with mood disorders. The intricate relationship between these has been investigated, but their causal dynamics remain unknown.

Language: Английский

Citations

19

Stress-induced increase in heart-rate during sleep as an indicator of PTSD risk among combat soldiers DOI
Lisa Simon,

S. Levi,

Shachar Shapira

et al.

SLEEP, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 7, 2024

Abstract Study Objectives Discerning the differential contribution of sleep behavior and physiology to subsequent development posttraumatic-stress-disorder (PTSD) symptoms following military operational service among combat soldiers. Methods Longitudinal design with three measurement time points: during basic training week (T1), intensive stressed (T2), (T3). Participating soldiers were all from same unit, ensuring equivalent schedules stress exposures. During weeks completed Depression Anxiety Stress Scale (DASS) PTSD Checklist for DSM-5 (PCL-5). Sleep (sleep heart-rate) (duration, efficiency) monitored continuously in natural settings T1 T2 using wearable sensors. Results Repeated measures ANOVA revealed a progressive increase PCL-5 scores T3, suggesting an escalation symptom severity service. Hierarchical linear regression analysis uncovered significant relation between change DASS at T3. Incorporating participants’ heart-rate markedly enhanced predictive accuracy model, increased emerging as predictor elevated above beyond scores. did not add model. Conclusion Findings underscore critical role physiology, specifically stressful training, indicating risk These findings may contribute prediction prevention efforts.

Language: Английский

Citations

4

Physical Activity, Sleep, and Quality of Life in Pulmonary Arterial Hypertension: Novel Insights From Wearable Devices DOI Creative Commons
Andrew Hughes,

Alisha Lindsey,

Jeffrey Annis

et al.

Pulmonary Circulation, Journal Year: 2025, Volume and Issue: 15(2)

Published: April 1, 2025

ABSTRACT Reduced functional capacity and poor sleep quality are common in pulmonary arterial hypertension (PAH). Wearable devices an emerging, user‐friendly tool to capture activity information. We aimed determine whether Fitbit‐derived trends provide clinically meaningful information patients with PAH. Our prospective observational study recruited PAH from across the United States using remote enrollment strategies in‐person efforts. Participants wore a Fitbit device for 12 weeks at baseline subgroup 1‐year follow‐up. A matched control cohort was generated All of Us Research Program we evaluated changes compared controls. Among 110 monitoring, average daily steps correlated 6MWD ( r = 0.61, p < 0.001) percent rapid eye movement (REM) 0.28, 0.008). In 44 participants who completed there group‐time interaction light 0.024) REM 0.034), which demonstrated that worsened over 1 year Average decreased 5200 [IQR 3212–7458] 4651 2912–6827] conclusion, our potential clinical value wearable by showing reduced controls these measures decline time. Future studies should investigate if monitoring health behaviors detects early targeted interventions may improve outcomes.

Language: Английский

Citations

0

Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features DOI Creative Commons
Dongju Lim,

Jaegwon Jeong,

Yun Min Song

et al.

npj Digital Medicine, Journal Year: 2024, Volume and Issue: 7(1)

Published: Nov. 18, 2024

Wearable devices enable passive collection of sleep, heart rate, and step-count data, offering potential for mood episode prediction in disorder patients. However, current models often require various data types, limiting real-world application. Here, we develop that predict future episodes using only sleep-wake easily gathered through smartphones wearables when trained on an individual's history past episodes. Using mathematical modeling to longitudinal from 168 patients (587 days average clinical follow-up, 267 wearable data), derived 36 sleep circadian rhythm features. These features enabled accurate next-day predictions depressive, manic, hypomanic (AUCs: 0.80, 0.98, 0.95). Notably, daily phase shifts were the most significant predictors: delays linked depressive episodes, advances manic This prospective observational cohort study (ClinicalTrials.gov: NCT03088657, 2017-3-23) shows combined with prior history, can effectively enhancing management.

Language: Английский

Citations

3

Accuracy of parent-reported sleep duration among adolescents assessed using accelerometry DOI
Ozerk Turan,

Jonathan Garner,

Linda Chang

et al.

Pediatric Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Language: Английский

Citations

2

Sleep–Wake Cycle in a Female Crew During an Earth-Based Martian Analogue Mission DOI

Carla Conejo-González,

Georgina Company-Se, Aída Selfa Muñoz

et al.

Archivos de Bronconeumología, Journal Year: 2024, Volume and Issue: 60(10), P. 649 - 651

Published: June 6, 2024

Language: Английский

Citations

0

Redesigning Pharmacy to Improve Public Health Outcomes: Expanding Retail Spaces for Digital Therapeutics to Replace Consumer Products That Increase Mortality and Morbidity Risks DOI Creative Commons

Grzegorz Bułaj,

Melissa Coleman,

Blake Johansen

et al.

Pharmacy, Journal Year: 2024, Volume and Issue: 12(4), P. 107 - 107

Published: July 12, 2024

United States healthcare outcomes, including avoidable mortality rates, are among the worst of high-income countries despite highest spending per capita. While community pharmacies contribute to chronic disease management and preventive medicine, they also offer consumer products that increase risks prevalence cardiovascular diseases, diabetes, cancer, depression. To resolve these contradictions, our perspective article describes opportunities for major pharmacy chains (e.g., CVS Pharmacy Walgreens) introduce digital health aisles dedicated prescription over-the-counter therapeutics (DTx), together with mobile apps wearables support self-management, wellness, well-being. We provide an evidence-based rationale replace spaces devoted sugar-sweetened beverages other unhealthy commodities (alcohol, tobacco) may premature death. discuss how can serve as marketing patient education resources, informing customers about commercially available DTx technologies healthy lifestyles. Since practice requires symbiotic balancing between profit margins patient-centered, value-based care, replacing health-harming health-promoting could positively impact prevention well physical mental patients caregivers who visit neighborhood in order pick up medicines.

Language: Английский

Citations

0