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Change in life expectancy with type 2 diabetes: a study using claims data from lower Saxony, Germany

Overview of attention for article published in Population Health Metrics, February 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

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5 tweeters

Citations

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23 Dimensions

Readers on

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39 Mendeley
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Title
Change in life expectancy with type 2 diabetes: a study using claims data from lower Saxony, Germany
Published in
Population Health Metrics, February 2017
DOI 10.1186/s12963-017-0124-6
Pubmed ID
Authors

Denise Muschik, Juliane Tetzlaff, Karin Lange, Jelena Epping, Sveja Eberhard, Siegfried Geyer

Abstract

This study estimates life expectancy with and without type 2 diabetes for individuals in Lower Saxony, Germany in order to detect a trend in population health. Morbidity and mortality data derived from German administrative claims data (statutory health insurance, AOK Niedersachsen, N = 2,900,065) were used covering 10 years from 2005 to 2014. Life table analysis was applied for calculating life expectancy, life expectancy free of type 2 diabetes, life expectancy with type 2 diabetes, and the proportion of life expectancy free of diabetes to total life expectancy using the Sullivan method. The total life expectancy increase is stronger in men than in women: At the age of 20, total life expectancy was 55.0 years in 2005 and 56.3 years in 2014 for men, whereas it was 61.7 years in 2005 and 62.5 years in 2014 for women. Decreases in life expectancy without type 2 diabetes were more pronounced in women than in men. Accordingly, life expectancy with type 2 diabetes increased in both women and in men. The proportion of life expectancy without diabetes to total life expectancy decreased, indicating a similar development in both. For example, at the age of 60, the proportion of life expectancy without diabetes to total life expectancy decreased from 0.75 in 2005 to 0.66 in 2014 for men, while it decreased from 0.77 in 2005 to 0.70 in 2014 for women. Against the background of increasing total life expectancy, the time spent in morbidity increased for the case of type 2 diabetes in Lower Saxony, Germany.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Researcher 5 13%
Student > Bachelor 4 10%
Other 3 8%
Student > Postgraduate 3 8%
Other 4 10%
Unknown 14 36%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Nursing and Health Professions 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Economics, Econometrics and Finance 2 5%
Other 6 15%
Unknown 14 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2017.
All research outputs
#6,452,505
of 21,338,015 outputs
Outputs from Population Health Metrics
#197
of 388 outputs
Outputs of similar age
#128,365
of 395,572 outputs
Outputs of similar age from Population Health Metrics
#1
of 1 outputs
Altmetric has tracked 21,338,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,572 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them