Women live longer than men even during severe famines and epidemics

PurposeThe aim of the study was to analyse excess deaths by major causes of death and associated changes in the mortality pattern of the Polish population in 2020 due to the impact of the COVID-19 pandemic.MethodsThe study used data on all deaths in Poland which occurred between 2010 and 2020 (N = 3,912,237). 10-year mortality trends for 2010–2019 were determined. An analysis of time trends has been carried out with joinpoint models and Joinpoint Regression Program. Based on the determined regression models, the number of deaths expected in 2020 and the number of excess deaths due to selected causes were calculated.ResultsThe crude death rates of all-cause deaths increased from 2000 to 2019 at an average annual rate of 1% (p = 0.0007). The determined regression model revealed that the number of deaths in 2020 should have been 413,318 (95% CI: 411,252 to 415,385). In reality, 477,355 people died in Poland that year. The number of excess deaths was therefore 64,037 (15.5%). According to data from Statistics Poland the number of COVID-19-related deaths was 40,028, the number of non-COVID-19 deaths was 24,009. The largest percentage increase over the expected number of deaths was observed for suicide (12.5%), mental and behavioral disorders (7.2%) and diseases of circulatory system (5.9%). A lower than expected number of deaths was observed for malignant neoplasms (−3.2%) and transport accidents (−0.1%).ConclusionThe difference between expected and observed non-COVID-19 deaths in 2020 indicates a need for further analysis of the causes of excess mortality.

show abstract

Excess mortality in Poland during the first and second wave of the COVID-19 pandemic in 2020

Pikala

Krzywicka

Burzyńska

2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

A global genetic epidemiological review of pseudoexfoliation syndrome

Hicks

Siedlecki

Haaland

et al. 2021

Exploration of Medicine

View full text Add to dashboard Cite

Pseudoexfoliation (PXF) syndrome is an important public health concern requiring individual population level analysis. Disease prevalence differs by geographic location and ethnicity, and has environmental, demographic, genetic, and molecular risk factors have been demonstrated. Epidemiological factors that have been associated with PXF include age, sex, environmental factors, and diet. Genetic and molecular components have also been identified that are associated with PXF. Underserved populations are often understudied within scientific research, including research about eye disease such as PXF, contributing to the persistence of health disparities within these populations. In each population, PXF needs may be different, and by having research that identifies individual population needs about PXF, the resources in that population can be more efficiently utilized. Otherwise, PXF intervention and care management based only on the broadest level of understanding may continue to exacerbate health disparities in populations disproportionally burdened by PXF.

show abstract

Gender and Age Differences in COVID-19 in Iraqi Patient Detected By Real-Time PCR

Abbas¹,

Hasan²

2021

AJMAH

View full text Add to dashboard Cite

Since the SARS-CoV-2 epidemic started, it became clear that the impact of the infection incidence and fatality rate were nearly related to the population structure. The outbreak of COVID-19 have severe impacts on the population, lead to different affection in women and men. epidemic in Iraq as elsewhere penetrate rapidly across the country, identifying vulnerable groups and gender analysis and also understanding the communities help to make an effective decisions. Our study Aimed to found the differences of gender and age in Iraqi people from the coronavirus disease 2019. 21545 cases were extracted from Razi Medical center in Baghdad from October 12, 2020 to March 3, 2021, 488 where positive result was according the performance of real-time reverse transcription-PCR (RT-PCR) assays used to targe different gene of SARS-CoV-2 based on kit manuscript. For each group, we calculated cumulative positive rates stratified age and gender for corresponding risks for men vs. women. the positive 358 patients (73.4 %) were men and 130 patients (26.6%) were women. The major part of cases was in the age group of 40-60 years of old and the male to female ratio was 2.75:1. The findings of the study represented higher positive cases rate in men than women. so Male gender and older age notably associated with the risk of positive COVID-19 patients. paying special attention to male elderly patient one of the most important strategies against spreading COVID-19.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Women live longer than men even during severe famines and epidemics

Cited by 3 publications

References 50 publications

Excess mortality in Poland during the first and second wave of the COVID-19 pandemic in 2020

Excess mortality in Poland during the first and second wave of the COVID-19 pandemic in 2020

A global genetic epidemiological review of pseudoexfoliation syndrome

Gender and Age Differences in COVID-19 in Iraqi Patient Detected By Real-Time PCR

Contact Info

Product

Resources

About