Evidence map›Paper›PMID 34699571›Full record

ArticlePloS one2021

Characterizing epidemiology of prediabetes, diabetes, and hypertension in Qataris: A cross-sectional study.

Mohammed H Al-Thani, Kholood A Al-Mutawa, Salah A Alyafei, Muhammad A Ijaz, Shamseldin A H Khalifa, Suresh B Kokku, Amit C M Mishra, Benjamin V Poovelil, Mounir B Soussi, Amine A Toumi and 3 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

13 authors.

Mohammed H Al-ThaniPublic Health Department, Ministry of Public Health, Doha, Qatar.
Kholood A Al-MutawaPublic Health Department, Ministry of Public Health, Doha, Qatar.
Salah A AlyafeiPublic Health Department, Ministry of Public Health, Doha, Qatar.
Muhammad A IjazPublic Health Department, Ministry of Public Health, Doha, Qatar.
Shamseldin A H KhalifaPublic Health Department, Ministry of Public Health, Doha, Qatar.
Suresh B KokkuPublic Health Department, Ministry of Public Health, Doha, Qatar.ORCID 0000-0002-4377-8862
Amit C M MishraPublic Health Department, Ministry of Public Health, Doha, Qatar.ORCID 0000-0001-7512-6706
Benjamin V PoovelilPublic Health Department, Ministry of Public Health, Doha, Qatar.
Mounir B SoussiPublic Health Department, Ministry of Public Health, Doha, Qatar.
Amine A ToumiPublic Health Department, Ministry of Public Health, Doha, Qatar.
Soha R DarghamInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
Susanne F AwadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0002-5060-7404
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.ORCID 0000-0003-0790-0506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo characterize the epidemiologic profiles of prediabetes mellitus (preDM), diabetes mellitus (DM), and hypertension (HTN) in Qataris using the nationally representative 2012 Qatar STEPwise Survey.

methodsA secondary data analysis of a cross-sectional survey that included 2,497 Qatari nationals aged 18-64 years. Descriptive and analytical statistical analyses were conducted.

resultsPrevalence of preDM, DM, and HTN in Qataris aged 18-64 years was 11.9% (95% confidence interval [CI] 9.6%-14.7%), 10.4% (95% CI 8.4%-12.9%), and 32.9% (95% CI 30.4%-35.6%), respectively. Age was the common factor associated with the three conditions. Adjusted analyses showed that unhealthy diet (adjusted odds ratio (aOR) = 1.84, 95% CI 1.01-3.36) was significantly associated with preDM; that physical inactivity (aOR = 1.66, 95% CI 1.12-2.46), central obesity (aOR = 2.08, 95% CI 1.02-4.26), and HTN (aOR = 2.18, 95% CI 1.40-3.38) were significantly associated with DM; and that DM (aOR = 2.07, 95% CI 1.34-3.22) was significantly associated with HTN. Population attributable fraction of preDM associated with unhealthy diet was 7.7%; of DM associated with physical inactivity, central obesity, and HTN, respectively, was 14.9%, 39.8%, and 17.5%; and of HTN associated with DM was 3.0%.

conclusionsOne in five Qataris is living with either preDM or DM, and one in three is living with HTN, conditions that were found to be primarily driven by lifestyle factors. Prevention, control, and management of these conditions should be a national priority to reduce their disease burden and associated disease sequelae.

Indexed as

AdolescentAdultBody WeightDiet, HealthyExerciseFemaleHumansHypertensionMaleMiddle AgedPrediabetic StateQatar

Identifiers

PMID34699571
PMCPMC8547702

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.