Evidence map›Paper›PMID 26857106›Full record

ArticleBMJ open2016

Social inequalities in prevalence of diagnosed and undiagnosed diabetes and impaired glucose regulation in participants in the Health Surveys for England series.

Alison Moody, Giovanna Cowley, Linda Ng Fat, Jennifer S Mindell

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Alison MoodyResearch Department of Epidemiology & Public Health, UCL, London, UK.
Giovanna CowleyBarnet Hospital, London, UK.
Linda Ng FatResearch Department of Epidemiology & Public Health, UCL, London, UK.
Jennifer S MindellResearch Department of Epidemiology & Public Health, UCL, London, UK.
University College London · GBBarnet Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo ascertain the extent of socioeconomic and health condition inequalities in people with diagnosed and undiagnosed diabetes and impaired glucose regulation (IGR) in random samples of the general population in England, as earlier diagnosis of diabetes and treatment of people with IGR can reduce adverse sequelae of diabetes. Various screening instruments were compared to identify IGR, in addition to undiagnosed diabetes.

design5, annual cross-sectional health examination surveys; data adjusted for complex survey design.

settingRandom selection of private homes across England, new sample annually 2009-2013.

participants5, nationally representative random samples of the general, free-living population: ≥ 1 adult interviewed in 24,254 of 36,889 eligible addresses selected. 18,399 adults had a valid glycated haemoglobin (HbA1c) measurement and answered the diabetes questions.

main outcome measuresDiagnosed diabetes, undiagnosed diabetes (HbA1c ≥ 48 mmol/mol), IGR (HbA1c 42-47 mmol/mol).

resultsOverall, 11% of the population had IGR, 2% undiagnosed and 6% diagnosed diabetes. Age-standardised prevalence was highest among Asian (19% (95% CI 16% to 23%), 3% (2% to 5%) and 12% (9% to 16%) respectively) and black participants (17% (13% to 21%), 2% (1% to 4%) and 14% (9% to 20%) respectively). These were also higher among people with lower income, less education, lower occupational class and greater deprivation. Education (OR 1.49 (95% CI 1.27 to 1.74) for no qualifications vs degree or higher) and income (1.35 (1.12 to 1.62) for lowest vs highest income quintile) remained significantly associated with IGR or undiagnosed diabetes on multivariate regression. The greatest odds of IGR or undiagnosed diabetes were with increasing age over 34 years (eg, OR 18.69 (11.53 to 30.28) aged 65-74 vs 16-24). Other significant associations were ethnic group (Asian (3.91 (3.02 to 5.05)), African-American (2.34 (1.62 to 3.38)) or 'other' (2.04 (1.07 to 3.88)) vs Caucasian); sex (OR 1.32(1.19 to 1.46) for men vs women); body mass index (3.54 (2.52 to 4.96) for morbidly obese vs not overweight); and waist circumference (2.00 (1.67 to 2.38) for very high vs low).

conclusionsSocial inequalities in hyperglycaemia exist, additional to well-known demographic and anthropometric risk factors for diabetes and IGR.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesAdolescentAdultAgedAge FactorsAsian PeopleBlack or African AmericanBlack PeopleCross-Sectional StudiesDiabetes MellitusEducational StatusEnglandFemaleGlycated HemoglobinHumansGlycated Hemoglobinhemoglobin A1c protein, humanEnglandEPIDEMIOLOGYInequalitiesPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID26857106
PMCPMC4746474
OpenAlexW2266032184

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.