Factors influencing the nature of client complaint behaviour in the aftermath of adverse events.

Background: Negative veterinary client complaint behaviour poses wellbeing and reputational risks. Adverse events are one source of complaint. Identifying factors that influence adverse event-related complaint behaviour is key to mitigating detrimental consequences and harnessing information that can be used to improve service quality, patient safety and business sustainability.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

Cross-sectional relationships of circadian misalignment and rest-activity rhythms with occupational attainment in UK Biobank participants.

Circadian misalignment and disrupted rest-activity rhythms have been linked to adverse health and educational outcomes, yet few studies have considered their relationships with economic outcomes. We investigate associations between multiple accelerometer-measured circadian misalignment traits (Composite Phase Deviation and the Sleep Regularity Index) and rest-activity rhythm traits (Inter-daily Stability, Intra-daily variability and relative amplitude), with occupational attainment, measured using the average wage paid to an individual's occupation. We use data from 20 356 UK Biobank participants who wore an accelerometer (2013-16), provided employment data for the year they wore the accelerometer, and supplied covariate data at recruitment (2006-10).