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Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study –

Overview of attention for article published in BMC Public Health, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 16,085)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
149 news outlets
blogs
2 blogs
twitter
25 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study –
Published in
BMC Public Health, December 2017
DOI 10.1186/s12889-017-4948-6
Pubmed ID
Authors

Stephanie Brinkhues, Nicole H. T. M. Dukers-Muijrers, Christian J. P. A. Hoebe, Carla J. H. van der Kallen, Pieter C. Dagnelie, Annemarie Koster, Ronald M. A. Henry, Simone J. S. Sep, Nicolaas C. Schaper, Coen D. A. Stehouwer, Hans Bosma, Paul H. M. Savelkoul, Miranda T. Schram

Abstract

Social isolation is associated with type 2 diabetes (T2DM), but it is unclear which elements play a crucial role in this association. Therefore, we assessed the associations of a broad range of structural and functional social network characteristics with normal glucose metabolism, pre-diabetes, newly diagnosed T2DM and previously diagnosed T2DM. Participants originated from The Maastricht Study, a population-based cohort study (n = 2861, mean age 60.0 ± 8.2 years, 49% female, 28.8% T2DM (oversampled)). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. We used multinomial regression analyses to investigate the associations between social network characteristics and diabetes status, stratified by sex. More socially isolated individuals (smaller social network size) more frequently had newly diagnosed and previously diagnosed T2DM, while this association was not observed with pre-diabetes. In women, proximity and the type of relationship was associated with newly diagnosed and previously diagnosed T2DM. A lack of social participation was associated with pre-diabetes as well as with previously diagnosed T2DM in women, and with previously diagnosed T2DM in men. Living alone was associated with higher odds of previously diagnosed T2DM in men, but not in women. Less emotional support related to important decisions, less practical support related to jobs, and less practical support for sickness were associated with newly diagnosed and previously diagnosed T2DM in men and women, but not in pre-diabetes. This study shows that several aspects of structural and functional characteristics of the social network were associated with newly and previously diagnosed T2DM, partially different for men and women. These results may provide useful targets for T2DM prevention efforts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 18%
Researcher 15 12%
Student > Ph. D. Student 15 12%
Student > Doctoral Student 11 8%
Student > Bachelor 10 8%
Other 25 19%
Unknown 30 23%
Readers by discipline Count As %
Medicine and Dentistry 35 27%
Nursing and Health Professions 17 13%
Psychology 10 8%
Social Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 16 12%
Unknown 39 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1195. 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 01 August 2023.
All research outputs
#10,975
of 24,363,506 outputs
Outputs from BMC Public Health
#8
of 16,085 outputs
Outputs of similar age
#190
of 449,041 outputs
Outputs of similar age from BMC Public Health
#2
of 219 outputs
Altmetric has tracked 24,363,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 99% of its peers.
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 449,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.