Personal well-being, including people's sleep characteristics, is affected by a variety of factors, one example of which is wide-ranging high-impact public events. In this study, we use a large sleep database obtained through a smartphone application for sleep tracking via anonymized time-sampled data to study the effect of two political events with a wide-ranging impact on people's sleep characteristics: the Brexit referendum in June 2016, and the presidential election of Donald Trump in November 2016 METHOD: Using Sleep as Android - an actigraphy-based sleep monitoring smartphone application - we collected 10.5 million geo-located sleep records from more than 69,000 users in Europe and North America. Population-based changes in sleep around each of these two events, in the United Kingdom and in the United States of America, were assessed using a non-parametric bootstrap test RESULTS: The analysis revealed a significant reduction by 16 min and 21 s in the mean sleep duration of British people in the night after the Brexit poll (p < 0.001). Similarly, the analysis of the US presidential election revealed a significant 12 min 49 s drop in the mean sleep duration during the night following the event, in comparison with the whole studied region (p < 0.001), and an increase by 5 min and 9 s in the subsequent night (p = 0.0328). Additional analysis comparing the election night to comparable days in preceding years revealed that the actual reduction in sleep length may have been even greater. There is also an increase in the proportion of subjects with very short sleep CONCLUSIONS: The results demonstrate a significant impact of two specific major political events on population sleep characteristics. Our results further underline the potential of mobile applications and informatics approaches in general to provide data that enable us to investigate fundamental physiological variables over time and location.
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http://dx.doi.org/10.1016/j.socscimed.2018.12.024 | DOI Listing |
Rev Cardiovasc Med
January 2025
Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, 230001 Hefei, Anhui, China.
Background: This study aimed to develop and validate a predictive model for major depression risk in adult patients with coronary heart disease (CHD), offering evidence for targeted prevention and intervention.
Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, 1098 adults with CHD were included. A weighted logistic regression model was applied to construct and validate a nomogram-based prediction tool for major depression in this population.
Wellcome Open Res
November 2024
Universidad Cientifica del Sur, Lima, Peru.
Background: The skeletal muscle has mainly a structural function and plays a role in human's metabolism. Besides, the association between sleep quality and muscle mass, in the form of sarcopenia, has been reported. This study aimed to assess whether changes of skeletal muscle mass (SMM) over time are associated with baseline sleep duration and disturbances in a resource-constrained adult Peruvian population.
View Article and Find Full Text PDFBrain Inj
January 2025
Department of Physical Medicine & Rehabilitation, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Objective: To examine the relationship between body mass index (BMI), newly developed sleep disorders and functional outcome after moderate-to-severe traumatic brain injury (msTBI).
Methods: Retrospective data from the TBI Model Systems National Database was analyzed, focusing on the independent association between BMI, sleep disorder diagnosis, and functional outcome as measured by the Extended Glasgow Outcome Scale (GOSE) at 1-year post-injury. Linear and logistic regression were used.
Eur Spine J
January 2025
Department of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, Guangdong, China.
Objectives: Sleep disorders are considered a risk factor for aging and skeletal degeneration, but their impact on intervertebral disc degeneration (IDD) remains unclear. The aim of this study was to assess associations between sleep characteristics and IDD, and to identify potential causal relationships.
Methods: Exposure factors included six unhealthy sleep characteristics: insomnia, short sleep duration (< 7 h), long sleep duration (≥ 9 h), evening chronotype, daytime sleepiness, and snoring.
Sleep Med
January 2025
Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Purpose: Poor sleep is increasing worldwide but sleep studies, using objective measures, are limited in Africa. Thus, we described the actigraphy-measured sleep characteristics of Nigerian in-school adolescents and the differences in these sleep characteristics in rural versus urban-dwelling adolescents using actigraphy plus a sleep diary.
Methods: This comparative, quantitative study involved 170 adolescents aged 13-19 attending six rural and six urban schools in southwestern Nigeria.
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