Objective: To explore the potential impact of the first wave of COVID-19 pandemic on all cause and cause-specific mortality in Norway.
Design: Population-based register study.
Setting: The Norwegian cause of Death Registry and the National Population Register of Norway.
Participants: All recorded deaths in Norway from March to May from 2010 to 2020.
Main Outcome Measures: Rate (per 100 000) of all-cause mortality and causes of death in the European Shortlist for Causes of Death from March to May 2020. The rates were age standardised and adjusted to a 100% register coverage and compared with a 95% prediction interval (PI) from linear regression based on corresponding rates for 2010-2019.
Results: 113 710 deaths were included, of which 10 226 were from 2020. We did not observe any deviation from predicted total mortality. There were fewer than predicted deaths from chronic lower respiratory diseases excluding asthma (11.4, 95% PI 11.8 to 15.2) and from other non-ischaemic, non-rheumatic heart diseases (13.9, 95% PI 14.5 to 20.2). The death rates were higher than predicted for Alzheimer's disease (7.3, 95% PI 5.5 to 7.3) and diabetes mellitus (4.1, 95% PI 2.1 to 3.4).
Conclusions: There was no significant difference in the frequency of the major causes of death in the first wave of the 2020 COVID-19 pandemic in Norway compared with corresponding periods 2010-2019. There was an increase in diabetes mellitus and Alzheimer's deaths. Reduced mortality due to some heart and lung conditions may be linked to infection control measures.
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http://dx.doi.org/10.1136/bmjopen-2021-050525 | DOI Listing |
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Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
The study aimed to explore the association between different sleep traits and all-cause mortality as well as to validate causality in the association through mendelian randomization (MR). We analyzed 451,420 European ancestry participants from the UK Biobank. Multivariable-adjusted Cox proportional hazards model was conducted to evaluate the association between sleep traits and all-cause mortality.
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Background: Due to global climate change, high temperature and heatwaves have become critical issues that pose a threat to human health. An effective early warning system is essential to mitigate the health risks associated with high temperature and heatwaves. However, most of the current heatwave early warning systems are not adequately developed based on the heat-health risk model, and the health impact of hot weather has not been well managed in most countries.
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January 2025
Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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Division of Hematology/Oncology, Department of Internal Medicine, Kameda Medical Center, Chiba, Japan.
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Int J Epidemiol
December 2024
National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Background: Deaths in Australia and other high-income countries increasingly involve multiple conditions. However, key burden of disease measures typically only use the underlying cause of death (UC). We quantified sex and cause-specific years of life lost (YLL) based on UC compared with a method integrating multiple causes of death.
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