Evidence map›Paper›PMID 25438835›Full record

ArticleBMC public health2014

Is vulnerability to cardiometabolic disease in Indians mediated by abdominal adiposity or higher body adiposity.

Hannah Kuper, Amy Taylor, Kankipati Vijay Radha Krishna, Yoav Ben-Shlomo, Ruby Gupta, Bharati Kulkarni, Dorairaj Prabhakaran, George Davey Smith, Jonathan Wells, Shah Ebrahim and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Cardiometabolic risk in obese children.Annals of the New York Academy of Sciences · 2018
    Review
  7. Article
  8. Review
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

11 authors at 5 institutions in 2 countries.

Hannah KuperClinical Research Department, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK. Hannah.kuper@lshtm.ac.uk.
Amy Taylor
Kankipati Vijay Radha Krishna
Yoav Ben-Shlomo
Ruby Gupta
Bharati Kulkarni
Dorairaj Prabhakaran
George Davey Smith
Jonathan Wells
Shah Ebrahim
Sanjay Kinra
London School of Hygiene & Tropical Medicine · GBUniversity of Bristol · GBCentre for Chronic Disease Control · INNational Institute of Nutrition · INUniversity College London · GB

Funding

Medical Research Council MC_UU_12013/1Wellcome Trust 084674Wellcome Trust WT083707MA
6 · The paper itself

Abstract

backgroundIndians may be particularly vulnerable to cardiometabolic disease, potentially due to higher body fat for a given BMI, or a tendency towards depositing abdominal adiposity. The aim of the study is to assess whether different measures of the distribution of adiposity (abdominal versus whole body) or amount of adiposity (DXA versus traditional anthropometric) are better at predicting prevalent cardiometabolic risk markers in an Indian population.

methodsParticipants were recruited from the Indian Migration Study (IMS) and the Andhra Pradesh Children and Parent Study (APCAPS). Participants attended a clinic in Hyderabad, India, January 2009-December 2010. Adiposity was measured by conventional anthropometry (including weight, height, waist) and DXA scanning (whole body and abdominal). Blood samples were taken and assessed for fasting plasma glucose, insulin, cholesterol, and triglycerides and blood pressure was measured. Lifestyle data were collected by questionnaire.

resultsWe invited 4 617 participants to the clinic (1 995 IMS; 2 622 APCAPS) and examined 918 from IMS (46%) and 1 451 from APCAPS (55%). There were strong and consistent relationships between adiposity and cardiometabolic risk factors. Cardiometabolic risk factors did not appear to be more strongly associated with DXA measures as opposed to BMI, or skinfold measures of body fat. There was some evidence that WHR was more closely related to diabetes than total body adiposity, but this was not apparent for the other measures of abdominal adiposity (DXA measures, waist circumference) or other cardiometablic risk factors.

conclusionsNo strong evidence supports that DXA measures or abdominal measures of adiposity are better at predicting the prevalence of cardiometabolic risk factors in comparison to BMI.

Indexed as

Absorptiometry, PhotonAdiposityAnthropometryBlood GlucoseBody HeightBody Mass IndexCardiovascular DiseasesChildChild WelfareComorbidityFemaleHumansIndiaIntra-Abdominal FatMaleObesity, AbdominalBlood GlucoseTriglycerides

Identifiers

PMID25438835
PMCPMC4289237
OpenAlexW2128290449

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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.