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Quantifying Urbanization as a Risk Factor for Noncommunicable Disease

Overview of attention for article published in Journal of Urban Health, June 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
5 policy sources
twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
202 Mendeley
Title
Quantifying Urbanization as a Risk Factor for Noncommunicable Disease
Published in
Journal of Urban Health, June 2011
DOI 10.1007/s11524-011-9586-1
Pubmed ID
Authors

Steven Allender, Kremlin Wickramasinghe, Michael Goldacre, David Matthews, Prasad Katulanda

Abstract

The aim of this study was to investigate the poorly understood relationship between the process of urbanization and noncommunicable diseases (NCDs) in Sri Lanka using a multicomponent, quantitative measure of urbanicity. NCD prevalence data were taken from the Sri Lankan Diabetes and Cardiovascular Study, comprising a representative sample of people from seven of the nine provinces in Sri Lanka (n = 4,485/5,000; response rate = 89.7%). We constructed a measure of the urban environment for seven areas using a 7-item scale based on data from study clusters to develop an "urbanicity" scale. The items were population size, population density, and access to markets, transportation, communications/media, economic factors, environment/sanitation, health, education, and housing quality. Linear and logistic regression models were constructed to examine the relationship between urbanicity and chronic disease risk factors. Among men, urbanicity was positively associated with physical inactivity (odds ratio [OR] = 3.22; 2.27-4.57), high body mass index (OR = 2.45; 95% CI, 1.88-3.20) and diabetes mellitus (OR = 2.44; 95% CI, 1.66-3.57). Among women, too, urbanicity was positively associated with physical inactivity (OR = 2.29; 95% CI, 1.64-3.21), high body mass index (OR = 2.92; 95% CI, 2.41-3.55), and diabetes mellitus (OR = 2.10; 95% CI, 1.58 - 2.80). There is a clear relationship between urbanicity and common modifiable risk factors for chronic disease in a representative sample of Sri Lankan adults.

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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
India 1 <1%
Indonesia 1 <1%
Unknown 198 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 18%
Researcher 33 16%
Student > Ph. D. Student 27 13%
Student > Bachelor 24 12%
Student > Doctoral Student 13 6%
Other 30 15%
Unknown 39 19%
Readers by discipline Count As %
Medicine and Dentistry 58 29%
Social Sciences 28 14%
Nursing and Health Professions 18 9%
Agricultural and Biological Sciences 7 3%
Economics, Econometrics and Finance 7 3%
Other 34 17%
Unknown 50 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 2021.
All research outputs
#1,578,276
of 22,714,025 outputs
Outputs from Journal of Urban Health
#221
of 1,282 outputs
Outputs of similar age
#6,927
of 111,633 outputs
Outputs of similar age from Journal of Urban Health
#4
of 18 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one has done well, scoring higher than 82% 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 111,633 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 93% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.