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Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach
OBJECTIVES: This 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 tha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431064/ https://www.ncbi.nlm.nih.gov/pubmed/25967988 http://dx.doi.org/10.1136/bmjopen-2014-006814 |
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author | Alkerwi, Ala'a Vernier, Céderic Sauvageot, Nicolas Crichton, Georgina E Elias, Merrill F |
author_facet | Alkerwi, Ala'a Vernier, Céderic Sauvageot, Nicolas Crichton, Georgina E Elias, Merrill F |
author_sort | Alkerwi, Ala'a |
collection | PubMed |
description | OBJECTIVES: This 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 DESIGN: A nationwide, cross-sectional, population-based study. PARTICIPANTS: A 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. RESULTS: Increasing 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. CONCLUSIONS: Multiple 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. |
format | Online Article Text |
id | pubmed-4431064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44310642015-05-20 Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach Alkerwi, Ala'a Vernier, Céderic Sauvageot, Nicolas Crichton, Georgina E Elias, Merrill F BMJ Open Epidemiology OBJECTIVES: This 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 DESIGN: A nationwide, cross-sectional, population-based study. PARTICIPANTS: A 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. RESULTS: Increasing 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. CONCLUSIONS: Multiple 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. BMJ Publishing Group 2015-05-11 /pmc/articles/PMC4431064/ /pubmed/25967988 http://dx.doi.org/10.1136/bmjopen-2014-006814 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Epidemiology Alkerwi, Ala'a Vernier, Céderic Sauvageot, Nicolas Crichton, Georgina E Elias, Merrill F Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title | Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title_full | Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title_fullStr | Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title_full_unstemmed | Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title_short | Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach |
title_sort | demographic and socioeconomic disparity in nutrition: application of a novel correlated component regression approach |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431064/ https://www.ncbi.nlm.nih.gov/pubmed/25967988 http://dx.doi.org/10.1136/bmjopen-2014-006814 |
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