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Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study

Background: Data on the relationship between plasma levels of cholesterol and triglycerides and social class have been inconsistent. Most previous studies have used one classification of social class. Methods. This was a cross-sectional population based study with data on occupational social class,...

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Main Authors: Shohaimi, Shamarina, Boekholdt, Matthijs S., Luben, Robert, Wareham, Nick J., Khaw, Kay-Tee
Format: Article
Published: BioMed Central 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37126/
https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-14-782
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spelling my.upm.eprints.371262023-09-04T07:56:31Z http://psasir.upm.edu.my/id/eprint/37126/ Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study Shohaimi, Shamarina Boekholdt, Matthijs S. Luben, Robert Wareham, Nick J. Khaw, Kay-Tee Background: Data on the relationship between plasma levels of cholesterol and triglycerides and social class have been inconsistent. Most previous studies have used one classification of social class. Methods. This was a cross-sectional population based study with data on occupational social class, educational level obtained using a detailed health and lifestyle questionnaire. A total of 10,147 men and 12,304 women aged 45-80 years living in Norfolk, United Kingdom, were recruited using general practice age-sex registers as part of the European Prospective Investigation into Cancer (EPIC-Norfolk). Plasma levels of cholesterol and triglycerides were measured in baseline samples. Social class was classified according to three classifications: occupation, educational level, and area deprivation score according to Townsend deprivation index. Differences in lipid levels by socio-economic status indices were quantified by analysis of variance (ANOVA) and multiple linear regression after adjusting for body mass index and alcohol consumption. Results: Total cholesterol levels were associated with occupational level among men, and with educational level among women. Triglyceride levels were associated with educational level and occupational level among women, but the latter association was lost after adjustment for age and body mass index. HDL-cholesterol levels were associated with both educational level and educational level among men and women. The relationships with educational level were substantially attenuated by adjustment for age, body mass index and alcohol use, whereas the association with educational class was retained upon adjustment. LDL-cholesterol levels were not associated with social class indices among men, but a positive association was observed with educational class among women. This association was not affected by adjustment for age, body mass index and alcohol use. Conclusions: The findings of this study suggest that there are sex differences in the association between socio-economic status and serum lipid levels. The variations in lipid profile with socio-economic status may be largely attributed to potentially modifiable factors such as obesity, physical activity and dietary intake. BioMed Central 2014 Article PeerReviewed Shohaimi, Shamarina and Boekholdt, Matthijs S. and Luben, Robert and Wareham, Nick J. and Khaw, Kay-Tee (2014) Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study. BMC Public Health, 14. art. no. 782. pp. 1-10. ISSN 1471-2458 https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-14-782 10.1186/1471-2458-14-782
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Background: Data on the relationship between plasma levels of cholesterol and triglycerides and social class have been inconsistent. Most previous studies have used one classification of social class. Methods. This was a cross-sectional population based study with data on occupational social class, educational level obtained using a detailed health and lifestyle questionnaire. A total of 10,147 men and 12,304 women aged 45-80 years living in Norfolk, United Kingdom, were recruited using general practice age-sex registers as part of the European Prospective Investigation into Cancer (EPIC-Norfolk). Plasma levels of cholesterol and triglycerides were measured in baseline samples. Social class was classified according to three classifications: occupation, educational level, and area deprivation score according to Townsend deprivation index. Differences in lipid levels by socio-economic status indices were quantified by analysis of variance (ANOVA) and multiple linear regression after adjusting for body mass index and alcohol consumption. Results: Total cholesterol levels were associated with occupational level among men, and with educational level among women. Triglyceride levels were associated with educational level and occupational level among women, but the latter association was lost after adjustment for age and body mass index. HDL-cholesterol levels were associated with both educational level and educational level among men and women. The relationships with educational level were substantially attenuated by adjustment for age, body mass index and alcohol use, whereas the association with educational class was retained upon adjustment. LDL-cholesterol levels were not associated with social class indices among men, but a positive association was observed with educational class among women. This association was not affected by adjustment for age, body mass index and alcohol use. Conclusions: The findings of this study suggest that there are sex differences in the association between socio-economic status and serum lipid levels. The variations in lipid profile with socio-economic status may be largely attributed to potentially modifiable factors such as obesity, physical activity and dietary intake.
format Article
author Shohaimi, Shamarina
Boekholdt, Matthijs S.
Luben, Robert
Wareham, Nick J.
Khaw, Kay-Tee
spellingShingle Shohaimi, Shamarina
Boekholdt, Matthijs S.
Luben, Robert
Wareham, Nick J.
Khaw, Kay-Tee
Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
author_facet Shohaimi, Shamarina
Boekholdt, Matthijs S.
Luben, Robert
Wareham, Nick J.
Khaw, Kay-Tee
author_sort Shohaimi, Shamarina
title Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
title_short Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
title_full Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
title_fullStr Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
title_full_unstemmed Distribution of lipid parameters according to different socio-economic indicators- the EPIC-Norfolk prospective population study
title_sort distribution of lipid parameters according to different socio-economic indicators- the epic-norfolk prospective population study
publisher BioMed Central
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/37126/
https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-14-782
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score 13.211869

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