This study assessed the effectiveness of a single intervention targeting work style and a combined intervention targeting work style and physical activity on the recovery from neck and upper limb symptoms. Computer workers with frequent or long-term neck and upper limb symptoms were randomised into the work style group (WS, n=152), work style and physical activity group (WSPA, n=156), or usual care group (n=158). The WS and WSPA group attended six group meetings. All meetings focused on behavioural change with regard to body posture, workplace adjustment, breaks and coping with high work demands (WS and WSPA group) and physical activity (WSPA group). Pain, disability at work, days with symptoms and months without symptoms were measured at baseline and after 6 (T1) and 12 months (T2). Self-reported recovery was assessed at T1/T2. Both interventions were ineffective in improving recovery. The work style intervention but not the combined intervention was effective in reducing all pain measures. These effects were present in the neck/shoulder, not in the arm/wrist/hand. For the neck/shoulder, the work style intervention group also showed an increased recovery-rate. Total physical activity increased in all study groups but no differences between groups were observed. To conclude, a group-based work style intervention focused on behavioural change was effective in improving recovery from neck/shoulder symptoms and reducing pain on the long-term. The combined intervention was ineffective in increasing total physical activity. Therefore we cannot draw conclusions on the effect of increasing physical activity on the recovery from neck and upper limb symptoms.
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http://dx.doi.org/10.1016/j.pain.2007.06.007 | DOI Listing |
J Environ Manage
December 2024
Center for Chinese Urbanization Studies, Collaborative Innovation Center for New Urbanization and Social Governance, Soochow University, 199 Renai Road, Suzhou, 215006, PR China. Electronic address:
In this study, we investigate the impacts of three institutional pressures on corporate greenwashing strategies, with a special focus on the regulative, normative, and cognitive pressures stemming respectively from governmental supervision, media coverage, and ESG rating divergence. We further examine the moderating effects that campaign-style environmental enforcement has on these impacts - specifically, the effects of the top-down intervention facilitated by the central environmental protection inspection mechanism. Our empirical analyses provide robust evidence to substantiate the constraining effects of various institutional pressures on greenwashing.
View Article and Find Full Text PDFAm J Health Syst Pharm
December 2024
The Ohio State University Wexner Medical Center, Columbus, OH, USA.
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View Article and Find Full Text PDFSci Rep
December 2024
School of Economics and Management, Shanghai University of Sport, Shanghai, 200438, People's Republic of China.
The research explored the impacts of diverse leadership styles on employee performance in Ethiopian sports organizations. It specifically examined the mediating effects of job satisfaction and the moderating impact of education level. In this study a cross-sectional survey design was employed, with 463 participants from various sports organizations.
View Article and Find Full Text PDFNurs Rep
December 2024
Department of Basic and Clinical Sciences, Medical School, University of Nicosia, Nicosia 1700, Cyprus.
Objective: This systematic review aimed to identify the most prevalent conflict management styles and strategies employed by nurses in clinical settings and to examine the factors associated with their selection.
Methods: A comprehensive literature search was conducted following the PRISMA guidelines. Databases searched included PUBMED, CINAHL, Medline, and ProQuest, focusing on articles published between 2014 and 2024.
J Imaging
December 2024
Department of Mathematics, Universität Innsbruck, Technikerstraße 13, A-6020 Innsbruck, Austria.
Medical image processing has been highlighted as an area where deep-learning-based models have the greatest potential. However, in the medical field, in particular, problems of data availability and privacy are hampering research progress and, thus, rapid implementation in clinical routine. The generation of synthetic data not only ensures privacy but also allows the drawing of new patients with specific characteristics, enabling the development of data-driven models on a much larger scale.
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