Evidence map›Paper›PMID 25967988›Full record

ArticleBMJ open2015

Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach.

Ala'a Alkerwi, Céderic Vernier, Nicolas Sauvageot, Georgina E Crichton, Merrill F Elias

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 6 pooled it
3.6field-weighted citation impact, top 8% 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

91 citing papers in PubMed, 6 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Pooled it
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  7. Article
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  11. Overweight Is Associated With Medium-Term Obesity Development in School-Age Children: A Mixed Longitudinal Study.American journal of human biology : the official journal of the Human Biology Council · 2025
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  17. Nutritional status of third-gender population of Dhaka City, Bangladesh.Journal of health, population, and nutrition · 2025
    Article
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  19. Review
  20. Article

31 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 3 countries.

Ala'a AlkerwiLuxembourg Health Institute L.I.H. (formerly Centre de Recherche Public Santé), Centre d'Etudes en Santé, Grand-Duchy of Luxembourg, Strassen, Luxembourg.
Céderic VernierLuxembourg Health Institute L.I.H. (formerly Centre de Recherche Public Santé), Centre d'Etudes en Santé, Grand-Duchy of Luxembourg, Strassen, Luxembourg.
Nicolas SauvageotLuxembourg Health Institute L.I.H. (formerly Centre de Recherche Public Santé), Centre d'Etudes en Santé, Grand-Duchy of Luxembourg, Strassen, Luxembourg.
Georgina E CrichtonLuxembourg Health Institute L.I.H. (formerly Centre de Recherche Public Santé), Centre d'Etudes en Santé, Grand-Duchy of Luxembourg, Strassen, Luxembourg Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia.
Merrill F EliasDepartment of Psychology, University of Maine, Orono, Maine, USA Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, Maine, USA.
Luxembourg Institute of Health · LUUniversity of Maine · USUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the most important demographic and socioeconomic factors associated with diet quality, evaluated in terms of compliance with national dietary recommendations, selection of healthy and unhealthy food choices, energy density and food variety. We hypothesised that different demographic and socioeconomic factors may show disparate associations with diet quality. STUDY

designA nationwide, cross-sectional, population-based study.

participantsA total of 1352 apparently healthy and non-institutionalised subjects, aged 18-69 years, participated in the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study in 2007-2008. The participants attended the nearest study centre after a telephone appointment, and were interviewed by trained research staff. OUTCOME MEASURES: Diet quality as measured by 5 dietary indicators, namely, recommendation compliance index (RCI), recommended foods score (RFS), non-recommended foods score (non-RFS), energy density score (EDS), and dietary diversity score (DDS). The novel Correlated Component Regression (CCR) technique was used to determine the importance and magnitude of the association of each socioeconomic factor with diet quality, in a global analytic approach.

resultsIncreasing age, being male and living below the poverty threshold were predominant factors associated with eating a high energy density diet. Education level was an important factor associated with healthy and adequate food choices, whereas economic resources were predominant factors associated with food diversity and energy density.

conclusionsMultiple demographic and socioeconomic circumstances were associated with different diet quality indicators. Efforts to improve diet quality for high-risk groups need an important public health focus.

Indexed as

Health PromotionAdolescentAdultAgedCardiovascular DiseasesCross-Sectional StudiesDietDiet SurveysEducational StatusFeeding BehaviorFemaleHealth Knowledge, Attitudes, PracticeHumansLuxembourgMaleMiddle AgedNUTRITION & DIETETICSPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID25967988
PMCPMC4431064
OpenAlexW1862261259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.