Diabetes mellitus: a risk factor for seizures in the elderly—a population-based study

2017 ◽  
Vol 54 (9) ◽  
pp. 863-870 ◽  
Author(s):  
Marta Baviera ◽  
Maria Carla Roncaglioni ◽  
Mauro Tettamanti ◽  
Tommaso Vannini ◽  
Ida Fortino ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
The Elderly ◽  
Population Based ◽  
Population Based Study

The neglected diabetic foot

1999 ◽  
Vol 9 (1) ◽  
pp. 95-99
Author(s):  
NA Pollard
Keyword(s):  
Diabetes Mellitus ◽  
Large Population ◽  
Insulin Dependent Diabetes Mellitus ◽  
The Elderly ◽  
Population Based ◽  
Undiagnosed Diabetes ◽  
Dependent Diabetes Mellitus ◽  
Population Based Study ◽  
The Usa ◽  
Insulin Dependent

As the number of elderly people in society increases then the number of those with diabetes will increase. The prevalence of diabetes varies both geographically and between different ethnic groups. The large population study NHANES 2 in the USA showed rates of 9.3% and 8.4% for diagnosed and undiagnosed diabetes, respectively, in those aged 66-74 years. These figures have been roughly corroborated, using similar diagnostic criteria, in a more recent population-based study in Italy (10% and 5% respectively). Although known risk factors for non-insulin-dependent diabetes mellitus (NIDDM) such as family history, obesity and central distribution of fat are important in the elderly, aging itself seems to be a stronger risk factor.

MALIGNANT MELANOMA. EPIDEMIOLOGY, ANALYTICAL INDICATORS OF THE EFFECTIVENESS OF ONCOLOGICAL SERVICES (POPULATION-BASED STUDY)

2017 ◽  
Vol 63 (2) ◽  
pp. 221-233
Author(s):  
Vakhtang Merabishvili
Keyword(s):  
Malignant Melanoma ◽  
Malignant Tumors ◽  
The Elderly ◽  
Population Based ◽  
Special Treatment ◽  
Detailed Structure ◽  
Population Based Study ◽  
Early Stages ◽  
One Year ◽  
Melanoma Epidemiology

Malignant melanoma of the skin (MMS) is less than 2% (1.74%) among all malignant tumors in Russia but this is more than 10,000 (10236-2015) of new cases. It is important to monitor the trend in dynamics of morbidity and mortality from this cause. From 1995 to 2015 a number of MMS primary cases was more than doubled in absolute numbers and “crude” rates. A slightly smaller increase is indicated by standardized indicators - 62.5% for men and 70.2% for women. Annually in Russia 3670 people die from MMS (2015), which is 1.2% of all cancer deaths. In recent years the previously revealed regularities have been largely preserved: lower rates of specific gravity detected in the early stages among people in the elderly and senile and in a smaller proportion in this group who received special treatment. At the same time a change in the detailed structure of the incidence of women has been revealed where currently the leading localization of MMS was not the lower extremities but the back. The index accuracy improved however the official statistics of the distribution of patients by stages of a disease was significantly distorted (weight of the early stages was increased from the real values). The index of one-year lethality and survival was significantly improved.

scholarly journals Estimates and Determinants of SARS-Cov-2 Seroprevalence and Infection Fatality Ratio Using Latent Class Analysis: The Population-Based Tirschenreuth Study in the Hardest-Hit German County in Spring 2020

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1118
Author(s):  
Ralf Wagner ◽  
David Peterhoff ◽  
Stephanie Beileke ◽  
Felix Günther ◽  
Melanie Berr ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Care Home ◽  
Case Fatality ◽  
The Elderly ◽  
Population Based ◽  
Class Analysis ◽  
Population Based Study ◽  
Targeted Testing ◽  
June July

SARS-CoV-2 infection fatality ratios (IFR) remain controversially discussed with implications for political measures. The German county of Tirschenreuth suffered a severe SARS-CoV-2 outbreak in spring 2020, with particularly high case fatality ratio (CFR). To estimate seroprevalence, underreported infections, and IFR for the Tirschenreuth population aged ≥14 years in June/July 2020, we conducted a population-based study including home visits for the elderly, and analyzed 4203 participants for SARS-CoV-2 antibodies via three antibody tests. Latent class analysis yielded 8.6% standardized county-wide seroprevalence, a factor of underreported infections of 5.0, and 2.5% overall IFR. Seroprevalence was two-fold higher among medical workers and one third among current smokers with similar proportions of registered infections. While seroprevalence did not show an age-trend, the factor of underreported infections was 12.2 in the young versus 1.7 for ≥85-year-old. Age-specific IFRs were <0.5% below 60 years of age, 1.0% for age 60–69, and 13.2% for age 70+. Senior care homes accounted for 45% of COVID-19-related deaths, reflected by an IFR of 7.5% among individuals aged 70+ and an overall IFR of 1.4% when excluding senior care home residents from our computation. Our data underscore senior care home infections as key determinant of IFR additionally to age, insufficient targeted testing in the young, and the need for further investigations on behavioral or molecular causes of the fewer infections among current smokers.

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