Mortality of Male Members of the Danish Semiskilled Workers' Union

1980 ◽  
Vol 8 (3) ◽  
pp. 95-98 ◽  
Author(s):  
Bernard Jeune
Keyword(s):  
High Mortality ◽  
Age Groups ◽  
Mortality Rates ◽  
Chronic Illnesses ◽  
Older Age ◽  
Regional Variations ◽  
Population Effect ◽  
Younger Age ◽  
Standardized Mortality Ratios ◽  
Circulatory Diseases

The mortality of male members of the Danish Semiskilled Workers' Union in 1973 has been analysed in an earlier publication. The aim of the present study was to see if previously indicated trends are being maintained after standardizing mortality rates by county for the period 1973–75. Although regional variations are seen, standardization by county produces only slight differences in age and cause-specific standardized mortality ratios. Earlier findings of high mortality from unnatural causes among members of the Semiskilled Workers' Union, especially in younger age groups, are confirmed. Low mortality in older age groups, which show a deficit of deaths from circulatory diseases and other chronic illnesses, suggests the possibility of a survival population effect.

scholarly journals Fifteen-year trends and differences in mortality rates across sex, age, and race/ethnicity in patients with brainstem tumors

2021 ◽  
Author(s):  
Yusuke Tomita ◽  
Yoshihiro Tanaka ◽  
Nozomu Takata ◽  
Elizabeth A Hibler ◽  
Rintaro Hashizume ◽  
...  
Keyword(s):  
Racial Differences ◽  
Age Groups ◽  
Mortality Rates ◽  
Older Age ◽  
Age Group ◽  
Younger Age ◽  
The Us ◽  
Brainstem Tumors ◽  
Race Ethnicity ◽  
Adjusted Incidence

Abstract Background Localization of tumors to the brainstem carries a poor prognosis, however, risk factors are poorly understood. We examined secular trends in mortality from brainstem tumors in the US by age, sex, and race/ethnicity. Methods We extracted age-adjusted incidence-based mortality rates of brainstem tumors from the Surveillance, Epidemiology and End Results (SEER) database between 2004 and 2018. Trends in age-adjusted mortality rate (AAMR) were compared by sex and race/ethnicity among the younger age group (0-14 years) and the older age group (>15 years) respectively. Average AAMRs in each 5-year age group were compared by sex. Results This study included 2,039 brainstem tumor-related deaths between 2004 and 2018. Trends in AAMRs were constant during the study period in both age groups, with 3 times higher AAMR in the younger age group compared to the older age group. Males had a significantly higher AAMR in the older age group, while no racial differences were observed. Intriguingly, AAMRs peaked in patients 5-9 years of age (0.57 per 100,000) and in patients 80-84 years of age (0.31 per 100,000), with lower rates among middle-aged individuals. Among 5-9 years of age, the average AAMR for females was significantly higher than that of males (p=0.017), whereas the reverse trend was seen among those 50-79 years of age. Conclusions Overall trends in AAMRs for brainstem tumors were constant during the study period with significant differences by age and sex. Identifying the biological mechanisms of demographic differences in AAMR may help understand this fatal pathology.

Inequalities and Impact of Socioeconomic-Cultural Factors in Suicide Rates Across Italy

Crisis ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 178-185 ◽  
Author(s):  
Maurizio Pompili ◽  
Marco Innamorati ◽  
Monica Vichi ◽  
Maria Masocco ◽  
Nicola Vanacore ◽  
...  
Keyword(s):  
Suicide Rate ◽  
Age Groups ◽  
Premature Death ◽  
Mortality Rates ◽  
Mortality Data ◽  
Italian Population ◽  
Comprehensive Overview ◽  
Suicide Rates ◽  
Younger Age ◽  
Age And Sex

Background: Suicide is a major cause of premature death in Italy and occurs at different rates in the various regions. Aims: The aim of the present study was to provide a comprehensive overview of suicide in the Italian population aged 15 years and older for the years 1980–2006. Methods: Mortality data were extracted from the Italian Mortality Database. Results: Mortality rates for suicide in Italy reached a peak in 1985 and declined thereafter. The different patterns observed by age and sex indicated that the decrease in the suicide rate in Italy was initially the result of declining rates in those aged 45+ while, from 1997 on, the decrease was attributable principally to a reduction in suicide rates among the younger age groups. It was found that socioeconomic factors underlined major differences in the suicide rate across regions. Conclusions: The present study confirmed that suicide is a multifaceted phenomenon that may be determined by an array of factors. Suicide prevention should, therefore, be targeted to identifiable high-risk sociocultural groups in each country.

scholarly journals Aging Reduces EEG Markers of Recognition Despite Intact Performance: Implications for Forensic Memory Detection

2020 ◽  
Author(s):  
Robin Hellerstedt ◽  
Arianna Moccia ◽  
Chloe M. Brunskill ◽  
Howard Bowman ◽  
Zara M. Bergström
Keyword(s):  
Older Adults ◽  
Temporal Variability ◽  
Brain Activity ◽  
Age Groups ◽  
Older Age ◽  
Practical Applications ◽  
Younger Age ◽  
Behavioural Performance ◽  
Older Populations

AbstractERP-based forensic memory detection is based on the logic that guilty suspects will hold incriminating knowledge about crimes they have committed, and therefore should show parietal ERP positivities related to recognition when presented with reminders of their crimes. We predicted that such forensic memory detection might however be inaccurate in older adults, because of changes to recognition-related brain activity that occurs with aging. We measured both ERPs and EEG oscillations associated with episodic old/new recognition and forensic memory detection in 30 younger (age < 30) and 30 older (age > 65) adults. EEG oscillations were included as a complementary measure which is less sensitive to temporal variability and component overlap than ERPs. In line with predictions, recognition-related parietal ERP positivities were significantly reduced in the older compared to younger group in both tasks, despite highly similar behavioural performance. We also observed ageing-related reductions in oscillatory markers of recognition in the forensic memory detection test, while the oscillatory effects associated with episodic recognition were similar across age groups. This pattern of results suggests that while both forensic memory detection and episodic recognition are accompanied by ageing-induced reductions in parietal ERP positivities, these reductions may be caused by non-overlapping mechanisms across the two tasks. Our findings suggest that EEG-based forensic memory detection tests are invalid in older populations, limiting their practical applications.

scholarly journals Comparison of anthropometric data quality in children aged 6-23 and 24-59 months: lessons from population-representative surveys from humanitarian settings

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Oleg Bilukha ◽  
Alexia Couture ◽  
Kelly McCain ◽  
Eva Leidman
Keyword(s):  
Data Quality ◽  
Age Groups ◽  
Older Age ◽  
Demographic And Health Surveys ◽  
Age Group ◽  
Anthropometric Data ◽  
Digit Preference ◽  
Anthropometric Indicators ◽  
Younger Age

Abstract Background Ensuring the quality of anthropometry data is paramount for getting accurate estimates of malnutrition prevalence among children aged 6–59 months in humanitarian and refugee settings. Previous reports based on data from Demographic and Health Surveys suggested systematic differences in anthropometric data quality between the younger and older groups of preschool children. Methods We analyzed 712 anthropometric population-representative field surveys from humanitarian and refugee settings conducted during 2011–2018. We examined and compared the quality of five anthropometric indicators in children aged 6–23 months and children aged 24–59 months: weight for height, weight for age, height for age, body mass index for age and mid-upper arm circumference (MUAC) for age. Using the z-score distribution of each indicator, we calculated the following parameters: standard deviation (SD), percentage of outliers, and measures of distribution normality. We also examined and compared the quality of height, weight, MUAC and age measurements using missing data and rounding criteria. Results Both SD and percentage of flags were significantly smaller on average in older than in younger age group for all five anthropometric indicators. Differences in SD between age groups did not change meaningfully depending on overall survey quality or on the quality of age ascertainment. Over 50% of surveys overall did not deviate significantly from normality. The percentage of non-normal surveys was higher in older than in the younger age groups. Digit preference score for weight, height and MUAC was slightly higher in younger age group, and for age slightly higher in the older age group. Children with reported exact date of birth (DOB) had much lower digit preference for age than those without exact DOB. SD, percentage flags and digit preference scores were positively correlated between the two age groups at the survey level, such as those surveys showing higher anthropometry data quality in younger age group also tended to show higher quality in older age group. Conclusions There should be an emphasis on increased rigor of training survey measurers in taking anthropometric measurements in the youngest children. Standardization test, a mandatory component of the pre-survey measurer training and evaluation, of 10 children should include at least 4–5 children below 2 years of age.

Mortality of Assured Lives

1954 ◽  
Vol 23 ◽  
pp. 169-261
Keyword(s):  
Age Groups ◽  
Mortality Rates ◽  
Older Age ◽  
Lower Mortality ◽  
Mortality Curve ◽  
Life Assurance ◽  
Current Experience ◽  
Standard Table ◽  
Light Table

1. The standard table of mortality most generally used in Britain at the present time for life assurance calculations is the A 1924-29 table, which was derived from the experience of assured lives during the period 1924–29. During the quarter of a century that has elapsed since that time there have been substantial changes in mortality rates and the A 1924-29 table is today out of date. The publication of the A 1924-29 Light table, based upon the experience of certain selected offices whose mortality was lighter than average, has no doubt been helpful in providing a table which goes some way in the direction of the lower mortality rates of today. However, this table suffers from the disadvantage that, while the mortality rates at young ages are not low enough for current experience, at some of the older age-groups the rates are too low, with the consequence that the shape of the mortality curve does not accord with present conditions. The greatest proportionate reductions in mortality since 1924–29 have occurred at the younger ages, and there can be little doubt that a new table is needed to provide offices with an efficient and up-to-date instrument for life assurance calculations.

scholarly journals Mortality of the population of the Komi Region at the end of the – XIX beginning of the XX century: age composition

2021 ◽  
Vol 1 ◽  
pp. 11-14
Author(s):  
D.V. Vishnyakova ◽  
Keyword(s):  
Mortality Rate ◽  
Age Groups ◽  
Mortality Rates ◽  
Age Composition ◽  
Younger Age ◽  
Significant Concentration

The article describes some mortality rates of the population of the Komi Region in the late XIX-early XX century. The age composition of the deceased is revealed, with a distribution by gender. During the studied time, mortality was characterized by a significant concentration in younger age groups. The mortality rate of children under the age of five years averaged 55–70 % of the total number of deaths in the region.

scholarly journals Delirium Duration Predicts 1-Month And 6-Month Mortality In Septic Patients From an Acute Geriatrics Unit

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1039-1039
Author(s):  
Paolo Mazzola ◽  
Antonella Zambon ◽  
Giuseppe Bellelli
Keyword(s):  
Sofa Score ◽  
Age Groups ◽  
Pairwise Comparison ◽  
Predictive Performance ◽  
Mortality Rates ◽  
Risk Of Death ◽  
Younger Age ◽  
Observational Cohort ◽  
The Difference ◽  
Better Than

Abstract Sepsis is highly prevalent in the older population compared to younger age groups. We showed that the SOFA score predicts the risk of death at 30 days in patients discharged from an acute geriatrics unit (AGU). We aim at comparing the ability of both delirium duration and SOFA to predict 1-month and 6-month mortality among septic patients. We performed an observational cohort study recruiting all patients consecutively admitted to San Gerardo hospital AGU (Italy) between March 2017 and January 2020, aged ≥70, who were diagnosed with sepsis according to 2016 Sepsis-3 criteria. All patients underwent a comprehensive geriatric assessment, including delirium twice a day with the 4AT. Outcomes were 1- and 6-month mortality rates. From 3,326 hospitalized patients, 235 were included in the study (median age 84 years, 42% females). Delirium accounted for 71.9% (169 patients, median duration 3 days). One-month and 6-month mortality rates were 32.3% and 55.3%, respectively. Age, albumin, hemoglobin, and PCR levels were associated with mortality and included as covariates in our Base Model. We performed pairwise comparison between c-indexes of the Base Model vs. Base+delirium duration (days) vs. Base+SOFA. The increment of predictive performance of model including delirium duration was statistically significant (c-index: 0.67 vs. 0.75 when considering 1-month mortality; 0.70 vs. 0.75 for 6-month mortality). Base+delirium duration performed better than Base+SOFA, but the difference not significant. Delirium duration performs as well as SOFA score in predicting 1- and 6-month mortality, with practical implications for the management of these patients in the continuum of care.

Mortality of Assured Lives

1956 ◽  
Vol 82 (1) ◽  
pp. 3-84 ◽  
Author(s):  
Keyword(s):  
Age Groups ◽  
Mortality Rates ◽  
Older Age ◽  
Lower Mortality ◽  
Mortality Curve ◽  
Life Assurance ◽  
Current Experience ◽  
Standard Table ◽  
Light Table

The standard table of mortality most generally used in Britain at the present time for life assurance calculations is the A 1924–29 table, which was derived from the experience of assured lives during the period 1924–29. During the quarter of a century that has elapsed since that time there have been substantial changes in mortality rates and the A1924–29 table is to-day out of date. The publication of the A 1924–29 Light table, based upon the experience of certain selected offices whose mortality was lighter than average, has no doubt been helpful in providing a table which goes some way in the direction of the lower mortality rates of to-day. However, this table suffers from the disadvantage that, while the mortality rates at young ages are not low enough for current experience, at some of the older age-groups the rates are too low, with the consequence that the shape of the mortality curve does not accord with present conditions. The greatest proportionate reductions in mortality since 1924–29 have occurred at the younger ages, and there can be little doubt that a new table is needed to provide offices with an efficient and up-to-date instrument for life assurance calculations.

scholarly journals Errata ao artigo “Estimativa do Excesso de Mortalidade Durante a Pandemia COVID-19: Dados Preliminares Portugueses”, publicado em Acta Med Port 2020 Jun;33(6):376-383

2020 ◽  
Vol 33 (6) ◽  
pp. 450
Author(s):  
Paulo Jorge Nogueira ◽  
Miguel De Araújo Nobre ◽  
Paulo Jorge Nicola ◽  
Cristina Furtado ◽  
António Vaz Carneiro
Keyword(s):  
Protective Effect ◽  
Excess Mortality ◽  
Age Groups ◽  
Older Age ◽  
Younger Age ◽  
Summer Holiday ◽  
Overall Mortality

Article published with errors: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/13928On page 376, in Abstract, paragraph Results, where it reads: ”Despite the inherent uncertainty, it is safe to assume an observed excess mortality of 2400 to 4000 deaths. Excess mortality was associated with older age groups (over age 65).”It should read: “An excess mortality of 2400 to 4000 deaths was observed. Excess mortality was associated with older age groups (over age 65).”On page 376, in Abstract, paragraph Conclusion, where it reads: ”The excess mortality occurred between March 1 and April 22 was 3 to 5 fold higher than what can be explained by the official COVID-19 deaths.”It should read: “Despite the inherent uncertainty, the excess mortality occurred between March 1 and April 22 could be 3.5- to 5-fold higher than what can be explained by the official COVID-19 deaths.”On page 376, in Resumo, paragraph Conclusão, where it reads: “Da análise dos resultados é possível concluir que o excesso de mortalidade ocorrido entre 1 de março e 22 de abril foi 3 a 5 vezes superior ao explicado pelas mortes por COVID-19 reportadas oficialmente.”It should read: “Apesar da incerteza inerente, da análise dos resultados é possível concluir que o excesso de mortalidade ocorrido entre 1 de março e 22 de abril poderá ter sido 3,5 a 5 vezes superior ao explicado pelas mortes por COVID-19 reportadas oficialmente.”On page 377, last line of the first paragraph, where it reads: “If the lockdown had some protective effect on overall mortality, like summer holiday months seem to have, these effects may be observed some, if not all, age groups.”It should read: “If the lockdown had some protective effect on overall mortality, like summer holiday months seem to have, these effects may be observed in all age groups.”On page 377, section Results, third paragraph, last sentence where it reads: “Mortality in the younger age groups was, on average, below the proposed baselines, as hypothesized.”It should read: “Mortality in the younger age groups was, on average, lower than the proposed baselines as theorized.”On page 382, section Conclusion, last sentence, where it reads: “Overall, these results point towards an excess mortality that is associated with and that is 3 to 5-fold higher than the official COVID-19 mortality.” It should read: “Overall, these results point towards an excess mortality that is associated with and that could be 3.5- to 5-fold higher than the official COVID-19 mortality.” Artigo publicado com erros: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/13928Na página 376, no Abstract, parágrafo Results, onde se lê: “Despite the inherent uncertainty, it is safe to assume an observed excess mortality of 2400 to 4000 deaths. Excess mortality was associated with older age groups (over age 65).”Deverá ler-se: “An excess mortality of 2400 to 4000 deaths was observed. Excess mortality was associated with older age groups (over age 65).”Na página 376, no Abstract, parágrafo Conclusion, onde se lê: “The excess mortality occurred between March 1 and April 22 was 3 to 5 fold higher than what can be explained by the official COVID-19 deaths."Deverá ler-se: “Despite the inherent uncertainty, the excess mortality occurred between March 1 and April 22 could be 3.5- to 5-fold higher than what can be explained by the official COVID-19 deaths.”Na página 376, no Resumo, parágrafo Conclusão, onde se lê: “Da análise dos resultados é possível concluir que o excesso de mortalidade ocorrido entre 1 de março e 22 de abril foi 3 a 5 vezes superior ao explicado pelas mortes por COVID-19 reportadas oficialmente.”Deverá ler-se: “Apesar da incerteza inerente, da análise dos resultados é possível concluir que o excesso de mortalidade ocorrido entre 1 de março e 22 de abril poderá ter sido 3,5 a 5 vezes superior ao explicado pelas mortes por COVID-19 reportadas oficialmente.”Na página 377, na última linha do primeiro parágrafo, onde se lê: “If the lockdown had some protective effect on overall mortality, like summer holiday months seem to have, these effects may be observed some, if not all, age groups.”Deverá ler-se: “If the lockdown had some protective effect onoverall mortality, like summer holiday months seem to have, these effects may be observed in all age groups.”Na página 377, secção Resultados, terceiro parágrafo última frase, onde se lê: “Mortality in the younger age groups was, on average, below the proposed baselines, as hypothesized.”Deverá ler-se: “Mortality in the younger age groups was, on average, lower than the proposed baselines as theorized.”Na página 382, secção Conclusion, última frase, onde se lê: “Overall, these results point towards an excess mortality that is associated with and that is 3 to 5-fold higher than the official COVID-19 mortality.”Deverá ler-se: “Overall, these results point towards an excess mortality that is associated with and that could be 3.5- to 5-fold higher than the official COVID-19 mortality.”

Prevalence of high-risk human papillomavirus in uterine cervical lesions among older Japanese women.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 5084-5084
Author(s):  
Kazuhiro Takehara ◽  
Hiroko Nakamura ◽  
Osamu Samura ◽  
Tomoya Mizunoe ◽  
Akihisa Saito ◽  
...  
Keyword(s):  
High Risk ◽  
Age Groups ◽  
Hpv Infection ◽  
Japanese Women ◽  
Older Age ◽  
Age Group ◽  
Hpv 16 ◽  
Younger Age ◽  
Hpv Genotypes ◽  
High Risk Hpv

5084 Background: To estimate the prevalence and genotypes of high-risk human papillomavirus (HPV) among older Japanese women, using liquid-based cytology (LBC). Methods: ThinPrep LBC specimens were collected from 11,039 Japanese women (age range, 14-98 years). After classifying cytodiagnosis, specimens were analyzed for HPV DNA using the multiplex polymerase chain reaction method. Cervical smear specimens from 1,302 women showed positive results. To examine the prevalence of HPV in women defined as negative for intraepithelial lesion or malignancy (NILM), 2,563 samples were randomly selected from the remaining 9,737 women. Comparisons were made between women ≥50 years of age (older age group) and women <50 years of age (younger age group). Written informed consent was obtained from all patients. In this study, the high-risk HPV genotypes encountered were 16, 18, 31, 33, 35, 45, 52, and 58. Results: In the older age group with abnormal smear findings, HPV genotypes were detected in 49.7% (148/298), including high-risk HPV genotypes in 40.9% (122/298). In the younger age group with abnormal smear findings, HPV genotypes were detected in 71.7% (720/1004), including high-risk HPV genotypes in 58.1% (583/1,004). In NILM, HPV-positive rates were 4.5% (39/873) in the older age group and 11.8% (199/1,690) in the younger age group. In high-grade squamous intraepithelial lesion (HSIL) or more severe cytological findings, HPV genotypes of each group (older age group/younger age group) were detected in 61.7%/83.1%, and high-risk HPV genotypes were detected in 56.4%/74.7% of women. In positive cervical smears, HPV 16 was the most frequently detected (28.5%) in the younger age group, while HPV 52 (31.3%) and 58 (27.2%) were detected more frequently than HPV 16 (18.4%) in the older age group. Conclusions: In Japan, although HPV infection as a cause of abnormal cervical cytology is more frequent among younger age groups than in older age groups, high-risk HPV infection was more highly associated with older individuals (older age group/younger age group: abnormal smear findings, 82.4%/81.0%; HSIL or more severe cytological findings, 91.3%/89.9%). In older age groups, HPV 52 and 58 were more frequent than HPV 16.

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