Evidence map›Paper›PMID 27004127›Full record

ArticleBMC obesity2016

Overweight and abdominal obesity as determinants of undiagnosed diabetes and pre-diabetes in Bangladesh.

Dewan S Alam, Shamim H Talukder, Muhammad Ashique Haider Chowdhury, Ali Tanweer Siddiquee, Shyfuddin Ahmed, Sonia Pervin, Sushmita Khan, Khaled Hasan, Tracey L P Koehlmoos, Louis W Niessen

Open access · hybridAbstract read
In one paragraph

Article in BMC obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Social support, nutrition and health among women in rural Bangladesh: complex tradeoffs in allocare, kin proximity and support network size.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    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

10 authors at 4 institutions in 4 countries.

Dewan S AlamSchool of Kinesiology and Health Science, Faculty of Health York University, Room 362, Stong College, 4700 Keele St, Toronto, ON M3J 1P3 Canada.
Shamim H TalukderEminence, Hena Nibash, 3/6, Asad Avenue, Mohammadpur, Dhaka 1207 Bangladesh.
Muhammad Ashique Haider ChowdhuryCentre for Control of Chronic Diseases, icddr,b, Mohakhali, Dhaka, Bangladesh.
Ali Tanweer SiddiqueeCentre for Control of Chronic Diseases, icddr,b, Mohakhali, Dhaka, Bangladesh.
Shyfuddin AhmedCentre for Control of Chronic Diseases, icddr,b, Mohakhali, Dhaka, Bangladesh.
Sonia PervinCentre for Control of Chronic Diseases, icddr,b, Mohakhali, Dhaka, Bangladesh.
Sushmita KhanEminence, Hena Nibash, 3/6, Asad Avenue, Mohammadpur, Dhaka 1207 Bangladesh.
Khaled HasanCentre for Control of Chronic Diseases, icddr,b, Mohakhali, Dhaka, Bangladesh.
Tracey L P KoehlmoosDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, Maryland, 20814-4799 USA.
Louis W NiessenCentre for Apllied Health Research and Delivery, Liverpool School of Tropical Medicine, Pembroke Place, L3 6PQ Liverpool, UK.
International Centre for Diarrhoeal Disease Research · BDLiverpool School of Tropical Medicine · GBUniformed Services University of the Health Sciences · USYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes and pre-diabetes are an increasing pandemic globally and often remain undiagnosed long after onset in low-income settings. The objective of this study is to assess the determinants and prevalence of undiagnosed diabetes and pre-diabetes among adults in Bangladesh.

methodsIn an exploratory study, we performed oral glucose tolerance test on 1243 adults ≥20 years of age from urban Mirpur, Dhaka (n = 518) and rural Matlab, Chandpur (n = 725) who had never been diagnosed with diabetes or pre-diabetes. We collected data on socioeconomic, demographic, past medical history, physical activity, and measured weight, height, waist and hip circumferences, and blood pressure. Risk factors associated with undiagnosed diabetes and pre-diabetes were examined using a multiple logistic regression model.

resultsOverall prevalence of diabetes and pre-diabetes was 6.6 % (95 % CI 5.3, 8.1) and 16.6 % (14.5, 18.7) respectively, with both being significantly higher in urban than rural populations (diabetes 12.2 % vs 2.6 % respectively, p < 0.000; pre-diabetes 21.2 % vs 13.2 %, p < 0.001). After adjustment the variables, urban residence (OR 2.5 [95 % CI 1.02, 5.9]), age group 40-59 y (2.9 [1.7-5.2]), ≥60 y (8.1 [2.8-23.8]), overweight (2.2 [1.3-3.9]), abdominal obesity (3.3 [1.8-6.0]) and high WHR 5.6 (2.7-11.9) were all significant predictors of diabetes. Significant predictors of pre-diabetes included age group 40-59 (1.6 [1.1-2.2]), female sex (1.5 [1.0-2.2]), abdominal obesity (1.7 [1.2-2.4]) and high WHR (1.6 [1.2-2.3]).

conclusionBoth overweight and abdominal obesity contribute to the hidden public health threat of undiagnosed diabetes and pre-diabetes. Awareness raising and screening of high risk groups combined with a tailored approach are essential for halting the epidemic of diabetes and pre-diabetes in Bangladesh.

Indexed as

BangladeshDeterminantsDiabetesPre-diabetesPrevalanceRuralScreeningUrban

Identifiers

PMID27004127
PMCPMC4797177
OpenAlexW2299287779

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.