Marital status and major causes of death in women

1960 ◽  
Vol 11 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Julia B. Zalokar
2013 ◽  
Vol 39 (3-4) ◽  
pp. 49
Author(s):  
Natalie C. Ludlow ◽  
Stacie D.A. Burke

This study examines associations between occupation and cause of death among 802 working-age males (15 to 64 years of age) who diedin two single-industry communities (Glace Bay and Sydney) in Nova Scotia between 1909 and 1917. Employment in mining and steelmanufacturing is assessed for cause-specific mortality among men who died in Canada’s early industrial era, with a particular focus ondeaths due to tuberculosis (n=140, or 18% of deaths) and accidents (n=225, or 28% of deaths). Factoring in the effects of occupation,age at death, birthplace, community, and marital status, logistic regression results indicate that, among the men who died, occupation is a significant predictor for accidental deaths (relative to all other causes of death) but not for tuberculosis-related deaths. Interpretation of these results is grounded in a broader perspective on the nature of living and working conditions in these two single-industry communities.


2021 ◽  
Author(s):  
Sally Curtin ◽  
Tejada-Vera Betzaida ◽  
Robert Anderson

This report presents age-adjusted death rates by marital status (married, never married, divorced, widowed) among adults aged 25 and over.


2015 ◽  
Vol 26 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Zuhair S. Natto ◽  
Majdi Aladmawy ◽  
Mohammed Alasqah ◽  
Athena Papas

The aim of this study was to evaluate whether there is any correlation between periodontal disease and mortality contributing factors, such as cardiovascular disease and diabetes mellitus in the elderly population. A dental evaluation was performed by a single examiner at Tufts University dental clinics for 284 patients. Periodontal assessments were performed by probing with a manual UNC-15 periodontal probe to measure pocket depth and clinical attachment level (CAL) at 6 sites. Causes of death abstracted from death certificate. Statistical analysis involved ANOVA, chi-square and multivariate logistic regression analysis. The demographics of the population sample indicated that, most were females (except for diabetes mellitus), white, married, completed 13 years of education and were 83 years old on average. CAL (continuous or dichotomous) and marital status attained statistical significance (p<0.05) in contingency table analysis (Chi-square for independence). Individuals with increased CAL were 2.16 times more likely (OR=2.16, 95% CI=1.47-3.17) to die due to CVD and this effect persisted even after control for age, marital status, gender, race, years of education (OR=2.03, 95% CI=1.35-3.03). CAL (continuous or dichotomous) was much higher among those who died due to diabetes mellitus or out of state of Massachusetts. However, these results were not statistically significant. The same pattern was observed with pocket depth (continuous or dichotomous), but these results were not statistically significant either. CAL seems to be more sensitive to chronic diseases than pocket depth. Among those conditions, cardiovascular disease has the strongest effect.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S Sauliune ◽  
O Mesceriakova-Veliuliene ◽  
R Kalediene

Abstract Introduction Health inequalities have emerged as a big issue of public health in Lithuania. Recent studies have demonstrated increasing mortality differentials between marital status groups, occurring mainly due to a decline in mortality of the married populations. The aim of the study - to determine changes in inequalities in mortality from major causes of death by marital status in Lithuania during 2001-2014. Methods Individual records from population censuses conducted in 2001 and 2011, National Mortality Register (period of 2001-2014), and Population Register (period of 2001-2014) have been linked using personal identification number. Study included those aged 30+. Mortality rates from cardiovascular diseases, cancer, external causes and digestion system diseases by the marital status (married and unmarried - never married, the widowed and the divorced) were calculated per 100 000 person years and standardized by age. Inequalities in mortality were assessed calculating rate ratio, while trends in it - conducting the Joinpoint regression analysis. Results Mortality from all analyzed causes of death among males and females in 2001 and 2014 was statistically significantly higher in unmarried compared to married. Inequalities in mortality by marital status increased statistically significantly in Lithuania throughout the period of 2001-2014 from cardiovascular diseases, cancer and external causes. The most significant increase in inequalities by 3.3% (p &lt; 0.05) on average per year was estimated from external causes among males. Inequalities in mortality from digestion system diseases did not change significantly throughout the study period. Conclusions Inequalities in mortality by marital status increased significantly in Lithuania throughout the period of 2001-2014 with the most significant increase from external causes. Key messages Mortality from all analyzed causes of death among Lithuanian males and females in 2001 and 2014 was statistically significantly higher in unmarried compared to married. Inequalities in mortality by marital status increased significantly in Lithuania throughout the period of 2001-2014 with the most significant increase from external causes.


Revista LEVS ◽  
2015 ◽  
Vol 15 ◽  
Author(s):  
Charles Maciel FALCÃO ◽  
Brenner Kássio Ferreira de OLIVEIRA

Resumo: Em todo o mundo o suicídio figura entre as três maiores causas de morte. Conhecer o perfil epidemiológico de mortes por suicídio em uma determinada região ou cidade é algo fundamental para que se possa pensar num estudo interpretativo das possíveis causas que estejam contribuindo para a emergência de atitudes suicidas bem como para o equacionamento e enfrentamento do problema como uma questão de saúde pública. Este trabalho teve como objetivo, conhecer o perfil epidemiológico de mortes por suicídio no município de Coari-AM, entre os anos de 2010 e 2013. Optou-se fazer a tabulação manual utilizando o programa Excel, realizando a codificação dos dados em 1S, 2S, 3S, 4S, 5S, 6S, 7S. Estes códigos representaram cada óbito por suicídio encontrado, facilitando a caracterização e análise dos dados coletados. Observou-se que de 2010 até o mês de maio de 2013 houve 641 mortes em Coari, destas, 07 eram por suicídio. Os resultados encontrados nas DOs, assemelharam-se as características de mortalidade por suicídio em estudos de caráter nacional e internacional, especialmente segundo o sexo, estado civil, meios utilizados e locais. PALAVRAS-CHAVE: Perfil Epidemiológico, Mortalidade, Suicídio.Worldwide suicide is among the top three causes of death. The epidemiological profile of suicide deaths in a particular region or city is fundamental to what one might think an interpretative study of possible causes that are contributing to the emergence of suicidal attitudes as well as for addressing and confronting the problem as a matter of public health. This study aimed, the epidemiological profile of suicide deaths in Coari-AM district, between the years 2010 and 2013. It was decided to make the manual tabulation using the Excel program, performing the encryption of data in 1S, 2S , 3S, 4S, 5S, 6S, 7S. These codes represent each death by suicide found, facilitating the characterization and analysis of the collected data. It was observed that 2010 until May 2013 there were 641 deaths in Coari, of these, 07 were by suicide. The results in death certificates, resemble the suicide mortality characteristics in national and international character studies, especially by sex, marital status, inputs and locations.KEYWORDS: Epidemiological Profile, Mortality, Suicide.


2008 ◽  
Vol 39 (10) ◽  
pp. 60-61
Author(s):  
MICHELE G. SULLIVAN
Keyword(s):  

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