Do sleep and circadian characteristics predict alcohol use in adult drinkers? DOI Creative Commons
Helen J. Burgess, Jonathan P. Troost, Muneer Rizvydeen

и другие.

Alcohol Clinical and Experimental Research, Год журнала: 2024, Номер 48(4), С. 680 - 691

Опубликована: Март 28, 2024

Abstract Background While sleep and circadian rhythms are recognized contributors to the risk for alcohol use related problems, few studies have examined whether objective measures can predict future in humans, no such been conducted adults. This study any baseline and/or characteristics of otherwise healthy adults predicted their over subsequent 12 months. Methods Participants (21–42 years) included 28 light 50 heavy drinkers. At baseline, a comprehensive range self‐reported sleep/circadian was assessed via questionnaires, wrist actigraphy, measurement dim melatonin onset photoreceptor responsivity. Following this, number alcoholic drinks per week binge drinking episodes month were quarterly Anticipated effects (stimulation, sedation, rewarding aspects) also Analyses generalized linear mixed‐effects models causal mediation analysis. Results Across measures, only insomnia symptoms longer total time at more binges ( p s <0.02). There trend anticipated effect wanting 6‐month timepoint mediate relationship between months = 0.069). Conclusions These results suggest that adults, symptoms, even if subclinical, significant predictor drinking, appear outweigh influence factors on least Insomnia may be modifiable target reducing misuse.

Язык: Английский

Making Sense of Sleep DOI

Bing Zhai,

Ignacio Perez-Pozuelo, Emma A.D. Clifton

и другие.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Год журнала: 2020, Номер 4(2), С. 1 - 33

Опубликована: Июнь 15, 2020

Traditionally, sleep monitoring has been performed in hospital or clinic environments, requiring complex and expensive equipment set-up expert scoring. Wearable devices increasingly provide a viable alternative for are able to collect movement heart rate (HR) data. In this work, we present set of algorithms sleep-wake sleep-stage classification based upon actigraphy cardiac sensing amongst 1,743 participants. We devise features that could be extracted from research-grade wearable sensors derive models evaluate their performance the largest open-access dataset human science. Our results demonstrated neural network outperform traditional machine learning methods heuristic both classification. Convolutional networks (CNNs) long-short term memory (LSTM) were best performers classification, respectively. Using SHAP (SHapley Additive exPlanation) with Random Forest identified frequency critical Finally, introduced an ensemble-based approach which outperformed all other baselines, achieving accuracy 78.2% F1 score 69.8% on task three stages. Together, work represents first systematic multimodal evaluation large, diverse population. Alongside presentation accurate approach, highlight approaches as scalable sleep-classification, providing guidance optimal algorithm deployment automated assessment. The code used study can found online at: https://github.com/bzhai/multimodal_sleep_stage_benchmark.git

Язык: Английский

Процитировано

66

Effects of Shift Work on the Eating Behavior of Police Officers on Patrol DOI Open Access
Anastasi Kosmadopoulos, Laura Kervezee, Philippe Boudreau

и другие.

Nutrients, Год журнала: 2020, Номер 12(4), С. 999 - 999

Опубликована: Апрель 4, 2020

Recent studies indicate that the timing of food intake can significantly affect metabolism and weight management. Workers operating at atypical times 24-h day are risk disturbed feeding patterns. Given increased gain, obesity metabolic syndrome in shift working populations, further research is required to understand whether their eating behavior could contribute these risks. The objective this study was characterize dietary patterns police officers across different types shifts natural environments. Thirty-one (six women; aged 32.1 ± 5.4 years, mean SD) from province Quebec, Canada, participated a 28- 35-day study, comprising 9- 12-h morning, evening, night alternating with rest days. Sleep work were recorded actigraphy diaries. For least 24 h during each type day, participants logged nutrient by timestamped photographs on smartphones. Macronutrient composition caloric content estimated registered dieticians using Nutrition Data System for Research database. analyzed linear mixed effects models circular ANOVA. More calories consumed relative individual requirements days than both evening- night-shift (p = 0.001), largely sourced fat 0.004) carbohydrate (trend, p 0.064) intake. Regardless, proportions carbohydrates, fat, protein did not differ between night, 2300 0600 h, any other < 0.001). Caloric occurred later (2308 0114 (1525 0029 h; 0.01) dispersed longer window (13.9 3.1 vs. 11.3 1.8 SD). As macronutrient similar lower, finding meals versus consistent emerging hypotheses implicate biological intake—rather its quantity or composition—as differentiating factor worker health.

Язык: Английский

Процитировано

60

Sleep Timing, Stability, and BP in the Sueño Ancillary Study of the Hispanic Community Health Study/Study of Latinos DOI Open Access
Sabra M. Abbott, Jia Weng, Kathryn J. Reid

и другие.

CHEST Journal, Год журнала: 2018, Номер 155(1), С. 60 - 68

Опубликована: Окт. 6, 2018

Язык: Английский

Процитировано

59

Subjective and objective sleep differ in male and female collegiate athletes DOI
Jason R. Carter,

Brett M. Gervais,

Janelle L. Adomeit

и другие.

Sleep Health, Год журнала: 2020, Номер 6(5), С. 623 - 628

Опубликована: Март 6, 2020

Язык: Английский

Процитировано

49

Later Meal and Sleep Timing Predicts Higher Percent Body Fat DOI Open Access
Elizabeth A. Thomas, Adnin Zaman,

Marc‐André Cornier

и другие.

Nutrients, Год журнала: 2020, Номер 13(1), С. 73 - 73

Опубликована: Дек. 29, 2020

Accumulating evidence suggests that later timing of energy intake (EI) is associated with increased risk obesity. In this study, 83 individuals overweight and obesity underwent assessment a 7-day period data collection, including measures body weight composition (DXA) 24-h EI (photographic food records), sleep (actigraphy), physical activity (PA, monitors) for 7 days. Relationships between mass index (BMI) percent fat meal timing, sleep, PA were examined. For every 1 h start eating, there was 1.25 (95% CI: 0.60, 1.91) unit increase in (False Discovery Rate (FDR) adjusted p value = 0.010). midpoint the eating window, 1.35 0.51, 2.19) (FDR 0.029). end period, 1.64 0.56, 2.72) 0.044). Later also lower levels. summary, are higher levels people

Язык: Английский

Процитировано

43

The association between sleep health and weight change during a 12-month behavioral weight loss intervention DOI
Christopher E. Kline, Eileen R. Chasens, Zhadyra Bizhanova

и другие.

International Journal of Obesity, Год журнала: 2021, Номер 45(3), С. 639 - 649

Опубликована: Янв. 7, 2021

Язык: Английский

Процитировано

35

Associations between brain structure and sleep patterns across adolescent development DOI Open Access
Maria Jalbrzikowski, Rebecca A. Hayes,

Kathleen E. Scully

и другие.

SLEEP, Год журнала: 2021, Номер 44(10)

Опубликована: Май 10, 2021

Abstract Study Objectives Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence linked to many physical mental health outcomes. We investigated whether sleep–gray matter relationships developmentally invariant (i.e. stable across age) or specific only present during discrete time windows) from late childhood through young adulthood. Methods constructed the Neuroimaging Pediatric Sleep Databank eight research studies conducted at University of Pittsburgh (2009–2020). Participants completed a T1-weighted structural MRI scan (sMRI) 5–7 days wrist actigraphy assess naturalistic sleep. The final analytic sample consisted 225 participants without current psychiatric diagnoses (9–25 years). extracted cortical thickness subcortical volumes sMRI. patterns (duration, timing, continuity, regularity) were estimated actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures patterns, as well effects age, sex, their interaction with on Results Shorter duration, later poorer continuity associated thinner cortex altered in diverse regions adolescence. In subset (e.g. posterior cingulate), was these early-to-mid but not Conclusions adolescence, exist gray structure, sensory, cognitive, emotional processes. intervention developmental periods could potentially promote healthier neurodevelopmental

Язык: Английский

Процитировано

34

Rest-activity rhythms across the lifespan: cross-sectional findings from the US representative National Health and Nutrition Examination Survey DOI
Danielle A Wallace, Dayna A. Johnson, Susan Redline

и другие.

SLEEP, Год журнала: 2023, Номер 46(11)

Опубликована: Авг. 22, 2023

Rest-activity rhythms (RAR) may mark development, aging, and physical mental health. Understanding how they differ between people inform intervention health promotion efforts. However, RAR characteristics across the lifespan have not been well-studied. Therefore, we investigated association measures with demographic lifestyle factors in a US nationally representative study.

Язык: Английский

Процитировано

15

Multi-dimensional sleep and mortality: The Multi-Ethnic Study of Atherosclerosis DOI
Joon Chung, Matthew Goodman, Tianyi Huang

и другие.

SLEEP, Год журнала: 2023, Номер 46(9)

Опубликована: Июль 31, 2023

Abstract Study Objectives Multiple sleep characteristics are informative of health, cluster, and health can be described as a composite positive attributes. We assessed the association between score reflecting multiple dimensions, mortality. tested hypothesis that more favorable (higher scores) is associated with lower Methods The Multi-Ethnic Atherosclerosis (MESA) racially ethnically-diverse multi-site, prospective cohort study US adults. Sleep was measured using unattended polysomnography, 7-day wrist actigraphy, validated questionnaires (2010–2013). 1726 participants were followed for median 6.9 years (Q1–Q3, 6.4–7.4 years) until death (171 deaths) or last contact. Survival models used to estimate exposure scores outcome all-cause mortality, adjusting socio-demographics, lifestyle, medical comorbidities; follow-up analyses examined associations individual metrics exposure, score, constructed by an empirically-based Principal Components Analysis on 13 metrics, selected priori. Results After confounders, 1 standard deviation (sd) higher 25% hazard mortality (Hazard Ratio [HR]: 0.75; 95% Confidence interval: [0.65, 0.87]). largest drivers this were: night-to-night regularity, total time, Apnea-Hypopnea Index. Conclusion More across characteristics, operationalized risk in diverse suggest interventions address dimensions may provide novel approaches improving health.

Язык: Английский

Процитировано

14

Actigraphic sleep dimensions and associations with academic functioning among adolescents DOI
Gina Marie Mathew, David Reichenberger, Lindsay Master

и другие.

SLEEP, Год журнала: 2024, Номер 47(7)

Опубликована: Март 5, 2024

There is mixed evidence regarding associations of sleep duration with academic functioning in adolescents and a lack research on other dimensions, particularly using objective measures. We examined multiple actigraphic dimensions among adolescents.

Язык: Английский

Процитировано

5