The last century has seen dramatic shifts in population work circumstances, leading to an increasing normalization of non-standard work schedules (NSWSs), defined as non-daytime, irregular hours. An ever-growing body of evidence links NSWSs to a host of non-communicable chronic conditions; yet, these associations primarily concentrate on the physiologic mechanisms created by circadian disruption and insufficient sleep. While important, not all NSWSs create such chronobiologic disruption, and other aspects of working time and synchronization could be important to the relationships between work schedules and chronic disease. Leveraging survey data from Project EAT, a population-based study with health-related behavioral and psychological data from U.S. adults aged 25-36 years, this study explored the risks for a broad range of less healthful behavioral and well-being outcomes among NSWS workers compared to standard schedule workers (n = 1402). Variations across different NSWSs (evening, night/rotating, and irregular schedules) were also explored. Results indicated that, relative to standard schedule workers, workers with NSWSs are at increased risk for non-optimal sleep, substance use, greater recreational screen time, worse dietary practices, obesity, and depression. There was minimal evidence to support differences in relative risks across workers with different types of NSWSs. The findings provide insight into the potential links between NSWSs and chronic disease and indicate the relevancy social disruption and daily health practices may play in the production of health and well-being outcomes among working populations.
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http://dx.doi.org/10.1016/j.ssmph.2017.12.003 | DOI Listing |
MethodsX
June 2025
Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia.
This research introduces the Generalized Extreme Value Mixture Autoregressive (GEVMAR) model as an innovative approach for examining non-standard actuarial datasets within general insurance. Information concerning claim reserves often reveals notable volatility and multimodal distributions, attributes that standard models, including previous method such as the Gaussian Mixture Autoregressive (GMAR) model and other autoregressive methodologies, find problematic to manage effectively. The GEVMAR model integrates the Generalized Extreme Value (GEV) distribution alongside Bayesian estimation techniques, augmented by a modified Signal-to-Noise Ratio (SNR) metric to improve predictive accuracy.
View Article and Find Full Text PDFAppl Radiat Isot
December 2024
National Centre for Physics, Quaid-i-Azam University Campus Islamabad, Pakistan.
Cd (T = 6.5 h) and Cd (T = 461.9 d) are promising non-standard gamma-emitting radionuclides with significant potential for SPECT use.
View Article and Find Full Text PDFNanomicro Lett
December 2024
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, People's Republic of China.
Wearable pressure sensors capable of adhering comfortably to the skin hold great promise in sound detection. However, current intelligent speech assistants based on pressure sensors can only recognize standard languages, which hampers effective communication for non-standard language people. Here, we prepare an ultralight TiCT MXene/chitosan/polyvinylidene difluoride composite aerogel with a detection range of 6.
View Article and Find Full Text PDFHypertens Res
December 2024
Heart Research, Murdoch Children's Research Institute, Parkville, VIC, Australia.
To (1) assess the accuracy of the Uscom BP+ oscillometric upper-arm professional blood pressure (BP) monitor in children and adolescents as per the AAMI/ESH/ISO Universal Standard (ISO 81060-2:2018); (2) assess the suitability of a non-standard cuff; and (3) assess the impact of motion artefact on device accuracy and precision. Children and adolescents were recruited to fulfil the sex/cuff distribution criteria of the Universal Standard. Single arm sequential BP measurements were used, the test device measured on deflate with an altered child/adolescent algorithm, using three standard (Extra Small, Small Adult, Adult) and, as exploratory analysis, additionally in one non-standard cuff (Wide Range; WR) (arm circumferences: 12-17, 16-24, 22-32, 22-42 cm, respectively).
View Article and Find Full Text PDFEduc Prim Care
December 2024
Yorkshire and Humber School of Primary Care, NHS England, Leeds, UK.
June 2023 saw an exceptionally high proportion of Outcome 5s (incomplete evidence) issued at the annual review of competency progression (ARCP) for GP Trainees in Yorkshire and the Humber (Y&H) Deanery. These outcomes created considerable time, administrative and financial costs for the deanery. Additionally, it was believed that receiving non-standard outcomes at ARCP would be detrimental to trainee wellbeing.
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