Evidence map›Paper›PMID 35545390›Full record

ArticleBMJ open2022

Impact of trends and gender disparity in obesity on future type 2 diabetes in Turkey: a mathematical modelling analysis.

Gül Anil Anakök, Susanne F Awad, Çiğdem Çağlayan, Peijue Huangfu, Laith J Abu-Raddad, Belgin Unal, Julia Alison Critchley

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Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Gül Anil AnakökDepartment of Public Health, Kocaeli University School of Medicine, Kocaeli, Turkey gulanilanakok@hotmail.com.ORCID 0000-0003-3250-4898
Susanne F AwadWeill Cornell Medical College, New York, Qatar.
Çiğdem ÇağlayanDepartment of Public Health, Kocaeli University School of Medicine, Kocaeli, Turkey.
Peijue HuangfuPopulation Health Research Institute, St George's University of London, London, UK.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Doha, Qatar.ORCID 0000-0003-0790-0506
Belgin UnalDepartment of Public Health, Faculty of Medicine, Dokuz Eylul Universitesi, Izmir, Turkey.
Julia Alison CritchleyPopulation Health Research Institute, St George's University of London, London, UK.ORCID 0000-0002-5248-4188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing a previously developed and validated mathematical model, we predicted future prevalence of type 2 diabetes mellitus (T2DM) and major modifiable risk factors (obesity, physical inactivity and smoking) stratified by age and sex in Turkey up to the year 2050.

methodsOur deterministic compartmental model fitted nationally representative demographic and risk factor data simultaneously for Turkish adults (aged 20-79) between 1997 and 2017, then estimated future trends. Our novel approach explored the impact of future obesity trends on these projections, specifically modelling (1) a gradual fall in obesity in women after the year 2020 until it equalled the age-specific levels seen in men and (2) cessation of the rise in obesity after 2020.

resultsT2DM prevalence is projected to rise from an estimated 14.0% (95% uncertainty interval (UI) 12.8% to 16.0%) in 2020 to 18.4% (95% UI 16.9% to 20.9%) by 2050; 19.7% in women and 17.2% in men by 2050; reflecting high levels of obesity (39.7% for women and 22.0% for men in 2050). Overall, T2DM prevalence could be reduced by about 4% if obesity stopped rising after 2020 or by 12% (22% in women) if obesity prevalence among women could be lowered to equal that of men. The higher age-specific obesity prevalence among women resulted in 2 076 040 additional women developing T2DM by the year 2050.

conclusionT2DM is common in Turkey and will remain so. Interventions and policies targeting the high burden of obesity (and low physical activity levels), particularly in women, could significantly impact future disease burdens.

Indexed as

Diabetes Mellitus, Type 2AdultFemaleHumansMaleModels, TheoreticalObesityPrevalenceRisk FactorsTurkeydiabetes & endocrinologyepidemiologypublic health

Identifiers

PMID35545390
PMCPMC9096547

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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.