BACKGROUND: Sarcopenic obesity significantly burdens health and autonomy. Strategies to intervene in or prevent sarcopenic obesity generally focus on losing body fat and building or maintaining muscle mass and function. For a lifestyle intervention, it is important to consider psychological aspects such as behavioral change techniques (BCTs) to elicit a long-lasting behavioral change.PURPOSE: The study was carried out to analyze BCTs used in exercise and nutritional interventions targeting community-dwelling adults around retirement age with sarcopenic obesity.METHODS: We conducted an analysis of articles cited in an existing systematic review on the effectiveness of exercise and nutritional interventions on physiological outcomes in community-dwelling adults around retirement age with sarcopenic obesity. We identified BCTs used in these studies by applying a standardized taxonomy.RESULTS: Only nine BCTs were identified. Most BCTs were not used intentionally (82 %), and those used derived from the implementation of lifestyle components, such as exercise classes ("instructions on how to perform a behavior," "demonstration of the behavior," "behavioral practice/rehearsal," and "body changes"). Only two studies used BCTs intentionally to reinforce adherence in their interventions.CONCLUSIONS: Few studies integrated BCTs in lifestyle interventions for community-dwelling persons around retirement age with sarcopenic obesity. Future studies on interventions to counteract sarcopenic obesity should include well-established BCTs to foster adherence and, therefore, their effectiveness.
BACKGROUND: Although enhancing physical activity (PA) is important to improve physical and/or cognitive recovery, little is known about PA of patients admitted to an inpatient rehabilitation setting. Therefore, this study assessed the quantity, nature and context of inpatients PA admitted to a rehabilitation center. METHODOLOGY/PRINICIPAL FINDINGS: Prospective observational study using accelerometry & behavioral mapping. PA of patients admitted to inpatient rehabilitation was measured during one day between 7.00-22.00 by means of 3d-accelerometery (Activ8; percentage of sedentary/active time, number of sedentary/active bouts (continuous period of ≥1 minute), and active/sedentary bout lengths and behavioral mapping. Behavioral mapping consisted of observations (every 20 minutes) to assess: type of activity, body position, social context and physical location. Descriptive statistics were used to describe PA on group and individual level. At median the 15 patients spent 81% (IQR 74%-85%) being sedentary. Patients were most sedentary in the evening (maximum sedentary bout length minutes of 69 (IQR 54-95)). During 54% (IQR 50%-61%) of the observations patients were alone) and in their room (median 50% (IQR 45%-59%)), but individual patterns varied widely. CONCLUSION/SIGNIFICANCE: The results of this study enable a deeper understanding of the daily PA patterns of patients admitted for inpatient rehabilitation treatment. PA patterns of patients differ in both quantity, day structure, social and environmental contexts. This supports the need for individualized strategies to support PA behavior during inpatient rehabilitation treatment.
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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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.
