Suchergebnisse

Regular physical activity is important for general health and reduces the risk for COVID-19 infections and for severe outcomes among infected people. However, measures to mitigate COVID-19 likely decrease population physical activity. This study aimed to examine 1) changes in exercise frequency in a representative sample of US adults during the pandemic (04/01/2020–07/21/2021), and 2) how sociodemographic characteristics, pre-COVID health-related behaviors and outcomes, and state-level stringency of COVID-19 containment measures predict exercise frequency. Self-reported exercise frequency and its individual-level predictors were determined based on 151,155 observations from 6,540 adult participants (aged ≥ 18 years) in all US states from the Understanding America Study. State-level stringency of COVID-19 control measures was examined from the Oxford COVID-19 Government Response Tracker. Exercise frequency varied significantly over 28 survey waves across 475 days of follow-up (F 1,473 = 185.5, p 0.05) between January and July 2021, during which the stringency index sharply declined to a low level. This longitudinal probability survey of the US population revealed significant fluctuations in exercise during COVID-19. Low exercise levels are concerning and deserve public health attention. Health inequalities from physical inactivity are likely to exacerbate because of COVID-19. Physical activity promotion in safe environments is urgently warranted, especially in at-risk population subgroups.

AbstractWorker well-being is a hot topic in organizations, consultancy and academia. However, too often, the buzz about worker well-being, enthusiasm for new programs to promote it and interest to research it, have not been accompanied by universal enthusiasm for scientific measurement. Aim to bridge this gap, we address three questions. To address the question 'What is worker well-being?', we explain that worker well-being is a multi-facetted concept and that it can be operationalized in a variety of constructs. We propose a four-dimensional taxonomy of worker well-being constructs to illustrate the concept's complexity and classify ten constructs within this taxonomy. To answer the question 'How can worker well-being constructs be measured?', we present two aspects of measures: measure obtrusiveness (i.e., the extent to which obtaining a measure interferes with workers' experiences) and measure type (i.e., closed question survey, word, behavioral and physiological). We illustrate the diversity of measures across our taxonomy and uncover some hitherto under-appreciated avenues for measuring worker well-being. Finally, we address the question 'How should a worker well-being measure be selected?' by discussing conceptual, methodological, practical and ethical considerations when selecting a measure. We summarize these considerations in a short checklist. It is our hope that with this study researchers – working in organizations, in academia or both – will feel more competent to find effective strategies for the measurement worker well-being and eventually make policies and choices with a better understanding of what drives worker well-being.