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Fat intake is more strongly associated with lifestyle factors than with socio-economic characteristics, regardless of energy adjustment approach

Mattisson, Iréne LU ; Wirfält, Elisabet LU ; Gullberg, Bo LU and Berglund, Göran LU (2001) In European Journal of Clinical Nutrition 55(6). p.452-461
Abstract
OBJECTIVE: To compare how three different energy adjustment approaches influence the ranking of individuals on fat intake, and to examine the relation between fat intake and socio-economic, demographic and lifestyle characteristics for each energy adjustment approach. DESIGN: A cross-sectional analysis project, using a sub-sample (7055 women and 3240 men) from the Malmo Diet and Cancer Study. Dietary habits were assessed with an interview based diet history method. Fat intake was, depending on energy-adjustment method, defined as absolute intake (FATg), percentage energy from fat (FAT%), and residuals from total fat regressed on total energy (FATres). Cross-classification compared categorisation into fat intake quintiles. Logistic... (More)
OBJECTIVE: To compare how three different energy adjustment approaches influence the ranking of individuals on fat intake, and to examine the relation between fat intake and socio-economic, demographic and lifestyle characteristics for each energy adjustment approach. DESIGN: A cross-sectional analysis project, using a sub-sample (7055 women and 3240 men) from the Malmo Diet and Cancer Study. Dietary habits were assessed with an interview based diet history method. Fat intake was, depending on energy-adjustment method, defined as absolute intake (FATg), percentage energy from fat (FAT%), and residuals from total fat regressed on total energy (FATres). Cross-classification compared categorisation into fat intake quintiles. Logistic regression estimated, separately for each of the three approaches, the associations between high fat intake and socio-economic, demographic and lifestyle characteristics. RESULTS: Agreement in individuals' ranking was high between FAT% and FATres, but FATg differed substantially from the others. Current smoking, low level of leisure time physical activity and low alcohol intakes were, in multivariate analysis, consistently associated with risk of high fat consumption regardless of energy adjustment method. However, the associations with socio-economic characteristics varied with energy adjustment method and gender groups. CONCLUSIONS: The similarities between FAT% and FATres, in the ranking of individuals and in the association with lifestyle factors and socio-economic characteristics implies that it is possible to translate results obtained with FATres to recommendations using FAT%. The consistent lifestyle pattern across fat intake definitions (in energy adjusted models) may indicate that fat consumption is more strongly related to lifestyle factors than to socio-economic characteristics. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Journal of Clinical Nutrition
volume
55
issue
6
pages
452 - 461
publisher
Nature Publishing Group
external identifiers
  • pmid:11423922
  • scopus:0034988911
ISSN
1476-5640
DOI
10.1038/sj.ejcn.1601205
language
English
LU publication?
yes
id
172599ae-962e-4411-b682-9989087ad088 (old id 1119811)
date added to LUP
2016-04-01 16:02:46
date last changed
2022-01-28 08:55:17
@article{172599ae-962e-4411-b682-9989087ad088,
  abstract     = {{OBJECTIVE: To compare how three different energy adjustment approaches influence the ranking of individuals on fat intake, and to examine the relation between fat intake and socio-economic, demographic and lifestyle characteristics for each energy adjustment approach. DESIGN: A cross-sectional analysis project, using a sub-sample (7055 women and 3240 men) from the Malmo Diet and Cancer Study. Dietary habits were assessed with an interview based diet history method. Fat intake was, depending on energy-adjustment method, defined as absolute intake (FATg), percentage energy from fat (FAT%), and residuals from total fat regressed on total energy (FATres). Cross-classification compared categorisation into fat intake quintiles. Logistic regression estimated, separately for each of the three approaches, the associations between high fat intake and socio-economic, demographic and lifestyle characteristics. RESULTS: Agreement in individuals' ranking was high between FAT% and FATres, but FATg differed substantially from the others. Current smoking, low level of leisure time physical activity and low alcohol intakes were, in multivariate analysis, consistently associated with risk of high fat consumption regardless of energy adjustment method. However, the associations with socio-economic characteristics varied with energy adjustment method and gender groups. CONCLUSIONS: The similarities between FAT% and FATres, in the ranking of individuals and in the association with lifestyle factors and socio-economic characteristics implies that it is possible to translate results obtained with FATres to recommendations using FAT%. The consistent lifestyle pattern across fat intake definitions (in energy adjusted models) may indicate that fat consumption is more strongly related to lifestyle factors than to socio-economic characteristics.}},
  author       = {{Mattisson, Iréne and Wirfält, Elisabet and Gullberg, Bo and Berglund, Göran}},
  issn         = {{1476-5640}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{452--461}},
  publisher    = {{Nature Publishing Group}},
  series       = {{European Journal of Clinical Nutrition}},
  title        = {{Fat intake is more strongly associated with lifestyle factors than with socio-economic characteristics, regardless of energy adjustment approach}},
  url          = {{http://dx.doi.org/10.1038/sj.ejcn.1601205}},
  doi          = {{10.1038/sj.ejcn.1601205}},
  volume       = {{55}},
  year         = {{2001}},
}