Evidence mapPaperPMID 40760250Full record

ReviewDiabetologia2025

Variation in type 2 diabetes prevalence across different populations: the key drivers.

Joanna Y Gong, Seyedeh Forough Sajjadi, Ayesha A Motala, Jonathan E Shaw, Dianna J Magliano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
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

5 authors.

Joanna Y GongBaker Heart and Diabetes Institute, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-0702-5740
Seyedeh Forough SajjadiBaker Heart and Diabetes Institute, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-8534-9970
Ayesha A MotalaDepartment of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.ORCID http://orcid.org/0000-0003-0517-1784
Jonathan E ShawBaker Heart and Diabetes Institute, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-6187-2203
Dianna J MaglianoBaker Heart and Diabetes Institute, Melbourne, VIC, Australia. Dianna.Magliano@baker.edu.au.ORCID http://orcid.org/0000-0002-9507-6096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global prevalence of type 2 diabetes has risen sharply in recent decades, with significant regional and demographic variation. While high- and middle-income countries generally report a higher diabetes prevalence than low-income countries, substantial differences exist within these categories. The highest prevalence is observed in regions such as the Middle East and North Africa, whereas parts of Europe and sub-Saharan Africa report a much lower prevalence. Several factors drive these disparities, including urbanisation and industrialisation, which have led to changing lifestyles, including more sedentary behaviours and greater consumption of processed, energy-dense foods, particularly in rapidly developing economies. The rising prevalence of obesity, driven by these lifestyle changes, further exacerbates health disparities, significantly increasing the risk of developing type 2 diabetes. Declining mortality rates among people with diabetes, and incidence, will also impact prevalence. Genetic predisposition influences diabetes risk, with certain populations, such as Indigenous and Pacific Islander groups, exhibiting higher susceptibility. Environmental factors, including air pollution and persistent organic pollutants, also impact diabetes prevalence, and disproportionately affect lower income regions. Migration plays a role at both individual and population levels, with migrant populations from high-risk regions often having a higher diabetes prevalence than host populations due to lifestyle and socioeconomic changes they experience. Additionally, healthcare access and diagnostic practices vary widely, leading to underdiagnosis of type 2 diabetes, particularly in low-resource settings. Addressing these disparities requires a comprehensive approach that considers socioeconomic factors, environmental factors and weight management to develop effective prevention and intervention strategies worldwide.

Indexed as

Diabetes Mellitus, Type 2HumansLife StyleObesityPrevalenceRisk FactorsSocioeconomic FactorsDiabetesEpidemiological transitionEpidemiologyEquity, diversity and inclusionPrevalenceReviewType 2 diabetes

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.