Evidence map›Paper›PMID 26640415›Full record

ArticlePopulation health metrics2015

Population aging, macroeconomic changes, and global diabetes prevalence, 1990-2008.

Nikkil Sudharsanan, Mohammed K Ali, Neil K Mehta, K M Venkat Narayan

Abstract read
In one paragraph

Article in Population health metrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Effects of Lycium barbarum Polysaccharides on Health and Aging ofOxidative medicine and cellular longevity · 2019
    Article
  11. Review
  12. Diabetes Mellitus and Risk of Hepatocellular Carcinoma.BioMed research international · 2017
    Review
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nikkil SudharsananPopulation Studies Center, University of Pennsylvania, 239 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104 USA.
Mohammed K AliHubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322 USA.
Neil K MehtaHubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322 USA.
K M Venkat NarayanHubert Department of Global Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322 USA.

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

backgroundDiabetes is an important contributor to global morbidity and mortality. The contributions of population aging and macroeconomic changes to the growth in diabetes prevalence over the past 20 years are unclear.

methodsWe used cross-sectional data on age- and sex-specific counts of people with diabetes by country, national population estimates, and country-specific macroeconomic variables for the years 1990, 2000, and 2008. Decomposition analysis was performed to quantify the contribution of population aging to the change in global diabetes prevalence between 1990 and 2008. Next, age-standardization was used to estimate the contribution of age composition to differences in diabetes prevalence between high-income (HIC) and low-to-middle-income countries (LMICs). Finally, we used non-parametric correlation and multivariate first-difference regression estimates to examine the relationship between macroeconomic changes and the change in diabetes prevalence between 1990 and 2008.

resultsGlobally, diabetes prevalence grew by two percentage points between 1990 (7.4 %) and 2008 (9.4 %). Population aging was responsible for 19 % of the growth, with 81 % attributable to increases in the age-specific prevalences. In both LMICs and HICs, about half the growth in age-specific prevalences was from increasing levels of diabetes between ages 45-65 (51 % in HICs and 46 % in LMICs). After age-standardization, the difference in the prevalence of diabetes between LMICs and HICs was larger (1.9 % point difference in 1990; 1.5 % point difference in 2008). We found no evidence that macroeconomic changes were associated with the growth in diabetes prevalence.

conclusionsPopulation aging explains a minority of the recent growth in global diabetes prevalence. The increase in global diabetes between 1990 and 2008 was primarily due to an increase in the prevalence of diabetes at ages 45-65. We do not find evidence that basic indicators of economic growth, development, globalization, or urbanization were related to rising levels of diabetes between 1990 and 2008.

Indexed as

DiabetesEconomic growthGlobalizationPopulation agingUrbanization

Identifiers

PMID26640415
PMCPMC4670493

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.