Flow experience is a state of mind in which one is totally absorbed in a task. This study explored the daily flow patterns related to working and non-working tasks among healthy and non-healthy (burned-out) individuals using the Experience Sampling Method. The main aim of this study was to explore flow throughout the day using an operationalization that focused on the flow experience itself, as indicated by enjoyment and absorption. Forty healthy participants and 60 burned-out individuals kept an electronic diary on activities (work/nonwork), and levels of flow (enjoyment and absorption) for 14 days. Entries were prompted by a signal on average five times a day, thus rendering 5,455 entries. A curvilinear daily flow pattern was observed, with lower levels of flow during working hours. Differences were found between the components of flow: enjoyment was higher during non-working tasks, whereas absorption was higher when working. There were no differences in flow patterns between the healthy and burned-out group although the actual levels differed with the former experiencing more flow than the latter. The results confirm the validity of this means of measuring flow, using enjoyment and absorption as indicators.[188 words]

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<span lang="EN-US">There is a growing consensus on the need to propose specific policies to face rural depopulation. This article applies fuzzy-set Qualitative Comparative Analysis (QCA) to define the presence or absence in each municipality of the conditions leading to the presence or absence of depopulation. We also perform Exploratory Spatial Data Analysis (ESDA) of population growth to identify hotspots of rural depopulation. The methodologies prove useful to evaluate and guide regional policies that address depopulation processes in the context of a relatively urbanized region.</span>