An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling

<p>Abstract</p> <p>Title</p> <p>An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation models.</p> <p>Background</p> <p>Socioeconomic indicators have been inversely asso...

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Main Authors: Mendelson Rena, Tarasuk Valerie, Ward Heather, McKeown-Eyssen Gail
Format: Article
Language:English
Published: BMC 2007-03-01
Series:International Journal of Behavioral Nutrition and Physical Activity
Online Access:http://www.ijbnpa.org/content/4/1/8
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spelling doaj-ffa318139523496cbc1ce19767b6c3202020-11-25T01:03:00ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682007-03-0141810.1186/1479-5868-4-8An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modelingMendelson RenaTarasuk ValerieWard HeatherMcKeown-Eyssen Gail<p>Abstract</p> <p>Title</p> <p>An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation models.</p> <p>Background</p> <p>Socioeconomic indicators have been inversely associated with overweight and obesity, with stronger associations observed among women. The objective of the present secondary analysis was to examine the relationships among socioeconomic measures and adiposity for men and women participating in the Ontario Food Survey (OFS), and to explore lifestyle factors as potential mediators of these associations.</p> <p>Methods</p> <p>The cross-sectional 1997/98 OFS collected anthropometric measurements, a food frequency questionnaire, data on socio-demographics (age, sex, income, and education) and physical activity from 620 women and 467 men, ages 18 to 75. Based on the 2003 Health Canada guidelines, waist circumference and BMI values were used to derive least risk, increased risk, and high risk adiposity groups. Structural equation modeling was conducted to examine increased risk and high risk adiposity in relation to education and income, with leisure time physical activity, fruit and vegetable intake, and smoking status included as potential mediators of these associations.</p> <p>Results</p> <p>The probability of high risk adiposity was directly associated with education (β-0.19, p < 0.05) and income (β-0.22, p < 0.05) for women, but not for men. Fruit and vegetable intake was a marginally significant mediator of the relationship between education and high risk adiposity for women. Increased risk adiposity was not associated with income or education for men or women.</p> <p>Conclusion</p> <p>The socioeconomic context of adiposity continues to differ greatly between men and women. For women only in the OFS, fruit and vegetable intake contributed to the inverse association between education and high risk adiposity; however, additional explanatory factors are yet to be determined.</p> http://www.ijbnpa.org/content/4/1/8
collection DOAJ
language English
format Article
sources DOAJ
author Mendelson Rena
Tarasuk Valerie
Ward Heather
McKeown-Eyssen Gail
spellingShingle Mendelson Rena
Tarasuk Valerie
Ward Heather
McKeown-Eyssen Gail
An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
International Journal of Behavioral Nutrition and Physical Activity
author_facet Mendelson Rena
Tarasuk Valerie
Ward Heather
McKeown-Eyssen Gail
author_sort Mendelson Rena
title An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
title_short An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
title_full An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
title_fullStr An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
title_full_unstemmed An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation modeling
title_sort exploration of socioeconomic variation in lifestyle factors and adiposity in the ontario food survey through structural equation modeling
publisher BMC
series International Journal of Behavioral Nutrition and Physical Activity
issn 1479-5868
publishDate 2007-03-01
description <p>Abstract</p> <p>Title</p> <p>An exploration of socioeconomic variation in lifestyle factors and adiposity in the Ontario Food Survey through structural equation models.</p> <p>Background</p> <p>Socioeconomic indicators have been inversely associated with overweight and obesity, with stronger associations observed among women. The objective of the present secondary analysis was to examine the relationships among socioeconomic measures and adiposity for men and women participating in the Ontario Food Survey (OFS), and to explore lifestyle factors as potential mediators of these associations.</p> <p>Methods</p> <p>The cross-sectional 1997/98 OFS collected anthropometric measurements, a food frequency questionnaire, data on socio-demographics (age, sex, income, and education) and physical activity from 620 women and 467 men, ages 18 to 75. Based on the 2003 Health Canada guidelines, waist circumference and BMI values were used to derive least risk, increased risk, and high risk adiposity groups. Structural equation modeling was conducted to examine increased risk and high risk adiposity in relation to education and income, with leisure time physical activity, fruit and vegetable intake, and smoking status included as potential mediators of these associations.</p> <p>Results</p> <p>The probability of high risk adiposity was directly associated with education (β-0.19, p < 0.05) and income (β-0.22, p < 0.05) for women, but not for men. Fruit and vegetable intake was a marginally significant mediator of the relationship between education and high risk adiposity for women. Increased risk adiposity was not associated with income or education for men or women.</p> <p>Conclusion</p> <p>The socioeconomic context of adiposity continues to differ greatly between men and women. For women only in the OFS, fruit and vegetable intake contributed to the inverse association between education and high risk adiposity; however, additional explanatory factors are yet to be determined.</p>
url http://www.ijbnpa.org/content/4/1/8
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