The study aims to describe the implementation of Activity Scheduling (AS) as a nursing intervention in an inpatient population of older adults with a major depressive disorder. DESIGN AND METHODS: In a single case report, the implementation of the intervention was described. FINDINGS: This case report shows that AS, when adapted into a brief and prescriptive course, can be beneficial for depressed elderly in an inpatient care setting. PRACTICE IMPLICATIONS: Although previous research shows promising results, there is a need for additional research on the effectiveness of the intervention when AS is executed by nurses.
Background: Physical inactivity is common during hospitalization. Physical activity has been described in different inpatient populations but never across a hospital. Purpose: To describe inpatient movement behavior and associated factors throughout a single university hospital. Methods: A prospective observational study was performed. Patients admitted to clinical wards were included. Behavioral mapping was undertaken for each participant between 9AM and 4PM. The location, physical activity, daily activity, and company of participants were described. Barriers to physical activity were examined using linear regression analyses. Results: In total, 345 participants from 19 different wards were included. The mean (SD) age was 61 (16) years and 57% of participants were male. In total, 65% of participants were able to walk independently. On average participants spent 86% of observed time in their room and 10% of their time moving. A physiotherapist or occupational therapist was present during 1% of the time, nursing staff and family were present 11% and 13%, respectively. Multivariate regression analysis showed the presence of an intravenous line (p = .039), urinary catheter (p = .031), being female (p = .034), or being dependent on others for walking (p = .016) to be positively associated with the time spent in bed. Age > 65, undergoing surgery, receiving encouragement by a nurse or physician, reporting a physical complaint or pain were not associated with the time spent in bed (P > .05). Conclusion: As family members and nursing staff spend more time with patients than physiotherapists or occupational therapists, increasing their involvement might be an important next step in the promotion of physical activity.
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Incentives are frequently used by governments and employers to encourage cooperation. Here, we investigated the effect of centralized incentives on cooperation, firstly in a behavioral study and then replicated in a subsequent neuroimaging (fMRI) study. In both studies, participants completed a novel version of the Public Goods Game, including experimental conditions in which the administration of centralized incentives was probabilistic and incentives were either of a financial or social nature. Behavioral results showed that the prospect of potentially receiving financial and social incentives significantly increased cooperation, with financial incentives yielding the strongest effect. Neuroimaging results showed that activation in the bilateral lateral orbitofrontal cortex and precuneus increased when participants were informed that incentives would be absent versus when they were present. Furthermore, activation in the medial orbitofrontal cortex increased when participants would potentially receive a social versus a financial incentive. These results speak to the efficacy of different types of centralized incentives in increasing cooperative behavior, and they show that incentives directly impact the neural mechanisms underlying cooperation.
SOCIO-BEE proposes that community engagement and social innovation combined with Citizen Science (CS) through emerging technologies and playful interaction can bridge the gap between the capacity of communities to adopt more sustainable behaviours aligned with environmental policy objectives and between the citizen intentions and the real behaviour to act in favour of the environment (in this project, to reduce air pollution). Furthermore, community engagement can raise other citizens’ awareness of climate change and their own responses to it, through experimentation, better monitoring, and observation of the environment. This idea is emphasised in this project through the metaphor of bees’ behaviour (with queens, working and drone bees as main CS actors), interested stakeholders that aim at learning from results of CS evidence-based research (honey bears) and the Citizen Science hives as incubators of CS ideas and projects that will be tested in three different pilot sites (Ancona, Marousi and Ancona) and with different population: elderly people, everyday commuters and young adults, respectively. The SOCIO-BEE project ambitions the scalable activation of changes in citizens’ behaviour in support of pro-environment action groups, local sponsors, voluntary sector and policies in cities. This process will be carried out through low-cost technological innovations (CS enablers within the SOCIO BEE platform), together with the creation of proper instruments for institutions (Whitebook and toolkits with recommendations) that will contribute to the replication, upscaling, massive adoption and to the duration of the SOCIO-BEE project. The solution sustainability and maximum outreach will be ensured by proposing a set of public-private partnerships.For more information see the EU-website.