Literature DB >> 20487579

The relative importance of socioeconomic indicators in explaining differences in BMI and waist:hip ratio, and the mediating effect of work control, dietary patterns and physical activity.

Marte Råberg Kjøllesdal1, Gerd Holmboe-Ottesen, Annhild Mosdøl, Margareta Wandel.   

Abstract

Socioeconomic differences in overweight are well documented, but most studies have only used one or two indicators of socioeconomic position (SEP). The aim of the present study was to explore the relative importance of indicators of SEP (occupation, education and income) in explaining variation in BMI and waist:hip ratio (WHR), and the mediating effect of work control and lifestyle factors (dietary patterns, smoking and physical activity). The Oslo Health Study, a cross-sectional study, was carried out in 2000-1, Oslo, Norway. Our sample included 9235 adult working Oslo citizens, who attended a health examination and filled in two complementary FFQ with < 20% missing responses to food items. Four dietary patterns were identified through factor analysis, and were named 'modern', 'Western', 'traditional' and 'sweet'. In multivariate models, BMI and WHR were inversely associated with education (P < 0.001/P < 0.001) and occupation (P = 0.002/P < 0.001), whereas there were no significant associations with income or the work control. The 'modern' (P < 0.001) and the 'sweet' (P < 0.001) dietary patterns and physical activity level (P < 0.001) were inversely associated, while the 'Western' dietary pattern (P < 0.001) was positively associated with both BMI and WHR. These lifestyle factors could not fully explain the socioeconomic differences in BMI or WHR. However, together with socioeconomic factors, they explained more of the variation in WHR among men (21%) than among women (7%).

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Year:  2010        PMID: 20487579     DOI: 10.1017/S0007114510001868

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  5 in total

1.  Socio-economic determinants of health behaviours across age groups: results of a cross-sectional survey.

Authors:  T E Dorner; W J Stronegger; K Hoffmann; K Viktoria Stein; T Niederkrotenthaler
Journal:  Wien Klin Wochenschr       Date:  2013-04-12       Impact factor: 1.704

2.  Four major dietary patterns identified for a target-population of adults residing in Newfoundland and Labrador, Canada.

Authors:  Zhi Chen; Lin Liu; Barbara Roebothan; Ann Ryan; Jennifer Colbourne; Natasha Baker; Jing Yan; Peizhong Peter Wang
Journal:  BMC Public Health       Date:  2015-01-31       Impact factor: 3.295

3.  Lifestyle and work ability in a general working population in Norway: a cross-sectional study.

Authors:  Inger M Oellingrath; Marit Müller De Bortoli; Martin Veel Svendsen; Anne Kristin Møller Fell
Journal:  BMJ Open       Date:  2019-04-03       Impact factor: 2.692

4.  The abilities of new anthropometric indices in identifying cardiometabolic abnormalities, and influence of residence area and lifestyle on these anthropometric indices in a Chinese community-dwelling population.

Authors:  Shihui Fu; Leiming Luo; Ping Ye; Yuan Liu; Bing Zhu; Yongyi Bai; Jie Bai
Journal:  Clin Interv Aging       Date:  2014-01-15       Impact factor: 4.458

5.  Central obesity and coronary heart disease risk factors in referral outpatients to zahedan cardiology clinic, iran.

Authors:  Mansour Shahraki; Touran Shahraki; Bahram Pourghasem Gargari; Nourallah Ramroudi
Journal:  Int J High Risk Behav Addict       Date:  2012-07-25
  5 in total

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