↓ Skip to main content

Evidence for the low recording of weight status and lifestyle risk factors in the Danish National Registry of Patients, 1999–2012

Overview of attention for article published in BMC Public Health, December 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evidence for the low recording of weight status and lifestyle risk factors in the Danish National Registry of Patients, 1999–2012
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2670-9
Pubmed ID
Authors

Mette Søgaard, Uffe Heide-Jørgensen, Mette Nørgaard, Søren P. Johnsen, Reimar W. Thomsen

Abstract

To examine the prevalence of lifestyle diagnosis codes recorded in the Danish National Registry of Patients (DNRP). We identified all hospital contacts in Denmark 1999-2012 with a diagnosis of overweight, obesity, physical inactivity, current tobacco smoking, and/or excessive alcohol consumption. We computed the annual prevalence per 1000 hospital contacts of these diagnoses overall and by baseline characteristics. Among 56,665,048 hospital contacts, the overall prevalence of recording per 1000 hospital contacts was 4.87 for a diagnosis of obesity, 2.36 for overweight, 2.90 for smoking, 0.39 for excessive alcohol consumption, and 0.47 for physical inactivity. Between 1999 and 2012, marked increases were noted for the prevalence of recorded obesity (30-fold, from 0.26 to 8.02), smoking (26-fold, from 0.18 to 4.88), and overweight (14-fold, from 0.23 to 3.52). Diagnosis coding of excessive alcohol consumption and physical inactivity remained at a very low level. The prevalence of recorded lifestyle risk factors varied substantially according to geographical regions, type of hospital contact, patient age, sex and underlying disease. In 2012, the prevalence of codes for obesity were highest among patients with diabetes (15.64 per 1000), COPD (12.95 per 1000), and congestive heart failure (11.24 per 1000). Codes for smoking were prevalent among patients with COPD (14.11 per 1000), liver disease (12.68 per 1000), and peripheral vascular disease (8.52 per 1000). Despite increasing prevalence of adverse lifestyle risk factors recorded in the DNRP, the much higher prevalence of similar lifestyle risk factors in health surveys suggests that the completeness of coding in the DNRP remains poor.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Student > Ph. D. Student 4 12%
Researcher 3 9%
Student > Master 3 9%
Lecturer 2 6%
Other 5 15%
Unknown 11 33%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Nursing and Health Professions 3 9%
Psychology 3 9%
Environmental Science 1 3%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 14 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 January 2016.
All research outputs
#14,243,242
of 22,836,570 outputs
Outputs from BMC Public Health
#10,346
of 14,878 outputs
Outputs of similar age
#205,745
of 393,178 outputs
Outputs of similar age from BMC Public Health
#178
of 262 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% 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 393,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.