↓ Skip to main content

Diabetes incidence and projections from prevalence surveys in Fiji

Overview of attention for article published in Population Health Metrics, November 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
5 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
38 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
Diabetes incidence and projections from prevalence surveys in Fiji
Published in
Population Health Metrics, November 2016
DOI 10.1186/s12963-016-0114-0
Pubmed ID
Authors

Stephen Morrell, Sophia Lin, Isimeli Tukana, Christine Linhart, Richard Taylor, Penina Vatucawaqa, Dianna J Magliano, Paul Zimmet

Abstract

Type 2 diabetes mellitus (T2DM) incidence is traditionally derived from cohort studies that are not always feasible, representative, or available. The present study estimates T2DM incidence in Fijian adults from T2DM prevalence estimates assembled from surveys of 25-64 year old adults conducted over 30 years (n = 14,288). T2DM prevalence by five-year age group from five population-based risk factor surveys conducted over 1980-2011 were variously adjusted for urban-rural residency, ethnicity, and sex to previous censuses (1976, 1986, 1996, 2009) to improve representativeness. Prevalence estimates were then used to calculate T2DM incidence based on birth cohorts from the age-period (Lexis) matrix following the Styblo technique, first used to estimate annual risk of tuberculosis infection (incidence) from sequential Mantoux population surveys. Poisson regression of year, age, sex, and ethnicity strata (n = 160) was used to develop projections of T2DM prevalence and incidence to 2020 based on various scenarios of population weight measured by body mass index (BMI) change. T2DM prevalence and annual incidence increased in Fiji over 1980-2011. Prevalence was higher in Indians and men than i-Taukei and women. Incidence was higher in Indians and women. From regression analyses, absolute reductions of 2.6 to 5.1% in T2DM prevalence (13-26% lower), and 0.5-0.9 per 1000 person-years in incidence (8-14% lower), could be expected in 2020 in adults if mean population weight could be reduced by 1-4 kg, compared to the current period trend in weight gain. This is the first application of the Styblo technique to calculate T2DM incidence from population-based prevalence surveys over time. Reductions in population BMI are predicted to reduce T2DM incidence and prevalence in Fiji among adults aged 25-64 years.

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 29%
Researcher 7 18%
Student > Bachelor 4 11%
Lecturer 3 8%
Student > Ph. D. Student 3 8%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Nursing and Health Professions 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Social Sciences 3 8%
Immunology and Microbiology 2 5%
Other 9 24%
Unknown 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 October 2017.
All research outputs
#3,381,654
of 11,923,653 outputs
Outputs from Population Health Metrics
#119
of 270 outputs
Outputs of similar age
#110,220
of 328,322 outputs
Outputs of similar age from Population Health Metrics
#4
of 14 outputs
Altmetric has tracked 11,923,653 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 270 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 48th percentile – i.e., 48% 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 328,322 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 64% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.