Evidence map›Paper›PMID 30076132›Full record

Observational studyBMJ (Clinical research ed.)2018

Association between population mean and distribution of deviance in demographic surveys from 65 countries: cross sectional study.

Fahad Razak, S V Subramanian, Shohinee Sarma, Ichiro Kawachi, Lisa Berkman, George Davey Smith, Daniel J Corsi

Erratum issuedOpen access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2018. 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Fahad RazakDivision of General Internal Medicine, Li Ka Shing Knowledge Institute, St Michael's Hospital, 209 Victoria Street, Toronto, ON M5B 1W8, Canada fahad.razak@mail.utoronto.ca.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, 677 Huntington Avenue, Kresge Building 7th Floor, 716, Boston, MA 02115-6096, USA.
Shohinee SarmaMcMaster University, Hamilton, ON, Canada.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, 677 Huntington Avenue, Kresge Building 7th Floor, 716, Boston, MA 02115-6096, USA.
Lisa BerkmanHarvard Center for Population and Development Studies, 9 Bow Street, Cambridge, MA 02138, USA.
George Davey SmithMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Daniel J CorsiOMNI Research Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON K1Y 4E9, Canada.
Harvard University · USMcMaster University · CAOttawa Hospital Research InstituteSt. Michael's Hospital · CAUniversity of Bristol · GB

Funding

Medical Research Council MC_UU_00011/1
6 · The paper itself

Abstract

objectivesTo examine whether conditions related to scarcity at the left side of the distribution (anaemia, severe chronic energy deficiency, and underweight) are as strongly related to population means as conditions of excess at the right side of the distribution (overweight and obesity).

designObservational study.

setting65 countries, with nationally representative cross sectional data from 1994 to 2014 obtained from the Demographic Health Surveys.

participantsNon-pregnant women aged 20-49. Sample of 65 countries and n=524 380 for analysis of BMI; sample of 44 countries and n=316 465 for analysis of haemoglobin.

main outcome measuresThe association between mean and prevalence of each category. For BMI, prevalence of severe chronic energy deficiency (SCED, BMI <16.0), underweight (BMI <18.5), overweight (BMI >25) and obese (BMI >30.) were measured; for haemoglobin, prevalence of anaemia (haemoglobin <12.0 g/dL) and severe anaemia (haemoglobin <8.0 g/dL) were examined.

resultsThere was a strong association between mean BMI and prevalence of overweight (r

conclusionsThe associations between population means and prevalence of conditions of scarcity such as low BMI and anaemia were substantially weaker than the associations of mean BMI with conditions of excesses such as overweight and obesity.

Indexed as

AdultAnemiaBody Mass IndexCross-Sectional StudiesFemaleHealth SurveysHemoglobinsHumansMalnutritionMiddle AgedOutcome Assessment, Health CareOverweightPopulation DynamicsPrevalenceSocioeconomic FactorsThinnessHemoglobins

Identifiers

PMID30076132
PMCPMC6073428
OpenAlexW2885722418

What OpenQuestion holds

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LicenceCC BY-NC
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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.