Compared to previous decade, impact of heat waves (HWs) on mortality in recent years needs to be discussed in Iran. We investigated temporal change in added impact of summer HWs on mortality in eight cities of Iran. The pooled length of HWs was compared between 2015-2022 and 2008-2014 using random and fixed-effects of meta-analysis regression model. The temporal change in impact of HWs was evaluated through interaction effect between crossbasis function of HW and year in a two-stage time varying model. In order to pool the reduced coefficients of each period, multivariate meta-regression model, including city-specific temperature and temperature range as heterogenicity factors, was used. In addition to relative risk (RR), attributable fraction (AF) of HW in the two periods was also estimated in each city. In the last years, the frequency of all HWs was higher and the weak HWs were significantly longer. The only significant RR was related to the lowest and low severe HWs which was observed in the second period. In terms of AF, compared to the strong HWs, all weak HWs caused a considerable excess mortality in all cities and second period. The subgroup analysis revealed that the significant impact in the second period was mainly related to females and elderlies. The increased risk and AF due to more frequent and longer HWs (weak HWs) in the last years highlights the need for mitigation strategies in the region. Because of uncertainty in the results of severe HWs, further elaborately investigation of the HWs is need.
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http://dx.doi.org/10.1007/s00484-023-02564-7 | DOI Listing |
Unfallchirurgie (Heidelb)
February 2025
Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Deutschland.
Heliyon
January 2025
Department of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan, 83301.
Introduction: Degenerative cervical diseases can severely affect patients' quality of life (QOL), mental health, and physical function. While surgical intervention is a common treatment, its impact on holistic well-being, including spiritual health, has not been thoroughly explored. This study aimed to evaluate the effects of surgery on QOL, pain-related disability, mental health, and spiritual well-being in patients with degenerative cervical diseases.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Research and Education, National Institute of Cardiology, Ministry of Health, Rio de Janeiro 22240-006, RJ, Brazil.
Background/objectives: The COVID-19 pandemic had significant implications for healthcare workers (HWs), especially those that work in hospitals. This study evaluated health related quality of life (HRQOL) and its relationship with dyspnea approximately one year after COVID-19 infection in HWs.
Methods: HWs with previous COVID-19 infections were interviewed, and the EuroQol five-dimensional three-level questionnaire (EQ-5D-3L) with a visual analog scale (VAS) was used to evaluate HRQOL.
Unfallchirurgie (Heidelb)
February 2025
Klinik für Unfall‑, Hand- & Wiederherstellungschirurgie, Universitätsklinikum Münster, Waldeyerstr. 1, 48149, Münster, Deutschland.
Injuries to the cervical spine are a diagnostic challenge as, although they are rare in relation to the overall population, they should not be overlooked under any circumstances. This article presents the diagnostic procedure in the emergency department, starting with the patient's medical history and subsequently clinical and neurological examinations. As a result, the clinical decision tools national emergency X‑radiography utilization study (NEXUS) criteria and the Canadian C‑spine rule (CCR) are discussed.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neurology, School of Medicine, Dong-A University, Seo-gu, Busan, Republic of Korea.
Early detection of Parkinson's disease (PD) and accurate assessment of disease progression are critical for optimizing treatment and rehabilitation. However, there is no consensus on how to effectively detect early-stage PD and classify motor symptom severity using gait analysis. This study evaluated the accuracy of machine learning models in classifying early and moderate-stages of PD based on spatiotemporal gait features at different walking speeds.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!