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Scoring models of a diet quality index and the predictive capability of mortality in a population-based cohort of Swedish men and women.

Drake, Isabel LU ; Gullberg, Bo LU ; Sonestedt, Emily LU ; Wallström, Peter LU ; Persson, Margaretha LU ; Hlebowicz, Joanna LU ; Nilsson, Jan LU ; Hedblad, Bo LU and Wirfält, Elisabet LU (2012) In Public Health Nutrition p.1-11
Abstract
OBJECTIVE:

To examine how different scoring models for a diet quality index influence associations with mortality outcomes. DESIGN: A study within the Malmö Diet and Cancer cohort. Food and nutrient intakes were estimated using a diet history method. The index included six components: SFA, PUFA, fish and shellfish, fibre, fruit and vegetables, and sucrose. Component scores were assigned using predefined (based on dietary recommendations) and population-based cut-offs (based on median or quintile intakes). Multivariate Cox regression was used to model associations between index scores (low, medium, high) and all-cause and cause-specific mortality by sex.



SETTING:

Malmö, the third largest city in... (More)
OBJECTIVE:

To examine how different scoring models for a diet quality index influence associations with mortality outcomes. DESIGN: A study within the Malmö Diet and Cancer cohort. Food and nutrient intakes were estimated using a diet history method. The index included six components: SFA, PUFA, fish and shellfish, fibre, fruit and vegetables, and sucrose. Component scores were assigned using predefined (based on dietary recommendations) and population-based cut-offs (based on median or quintile intakes). Multivariate Cox regression was used to model associations between index scores (low, medium, high) and all-cause and cause-specific mortality by sex.



SETTING:

Malmö, the third largest city in Sweden.



SUBJECTS:

Men (n 6940) and women (n 10 186) aged 44-73 years. During a mean follow-up of 14·2 years, 2450 deaths occurred, 1221 from cancer and 709 from CVD.



RESULTS:

The predictive capability of the index for mortality outcomes varied with type of scoring model and by sex. Stronger associations were seen among men using predefined cut-offs. In contrast, the quintile-based scoring model showed greater predictability for mortality outcomes among women. The scoring model using median-based cut-offs showed low predictability for mortality among both men and women.



CONCLUSIONS:

The scoring model used for dietary indices may have a significant impact on observed associations with disease outcomes. The rationale for selection of scoring model should be included in studies investigating the association between dietary indices and disease. Adherence to the current dietary recommendations was in the present study associated with decreased risk of all-cause and cause-specific mortality, particularly among men. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Public Health Nutrition
issue
May 29
pages
1 - 11
publisher
Cambridge University Press
external identifiers
  • WOS:000313976700011
  • PMID:22643161
  • Scopus:84872905360
ISSN
1475-2727
DOI
10.1017/S1368980012002789
language
English
LU publication?
yes
id
7b611c5a-d2fc-4fee-b13c-40361a3e2ff3 (old id 2608327)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/22643161?dopt=Abstract
date added to LUP
2012-06-04 21:19:18
date last changed
2016-10-13 04:29:59
@misc{7b611c5a-d2fc-4fee-b13c-40361a3e2ff3,
  abstract     = {OBJECTIVE: <br/><br>
To examine how different scoring models for a diet quality index influence associations with mortality outcomes. DESIGN: A study within the Malmö Diet and Cancer cohort. Food and nutrient intakes were estimated using a diet history method. The index included six components: SFA, PUFA, fish and shellfish, fibre, fruit and vegetables, and sucrose. Component scores were assigned using predefined (based on dietary recommendations) and population-based cut-offs (based on median or quintile intakes). Multivariate Cox regression was used to model associations between index scores (low, medium, high) and all-cause and cause-specific mortality by sex. <br/><br>
<br/><br>
SETTING: <br/><br>
Malmö, the third largest city in Sweden. <br/><br>
<br/><br>
SUBJECTS: <br/><br>
Men (n 6940) and women (n 10 186) aged 44-73 years. During a mean follow-up of 14·2 years, 2450 deaths occurred, 1221 from cancer and 709 from CVD. <br/><br>
<br/><br>
RESULTS: <br/><br>
The predictive capability of the index for mortality outcomes varied with type of scoring model and by sex. Stronger associations were seen among men using predefined cut-offs. In contrast, the quintile-based scoring model showed greater predictability for mortality outcomes among women. The scoring model using median-based cut-offs showed low predictability for mortality among both men and women. <br/><br>
<br/><br>
CONCLUSIONS: <br/><br>
The scoring model used for dietary indices may have a significant impact on observed associations with disease outcomes. The rationale for selection of scoring model should be included in studies investigating the association between dietary indices and disease. Adherence to the current dietary recommendations was in the present study associated with decreased risk of all-cause and cause-specific mortality, particularly among men.},
  author       = {Drake, Isabel and Gullberg, Bo and Sonestedt, Emily and Wallström, Peter and Persson, Margaretha and Hlebowicz, Joanna and Nilsson, Jan and Hedblad, Bo and Wirfält, Elisabet},
  issn         = {1475-2727},
  language     = {eng},
  number       = {May 29},
  pages        = {1--11},
  publisher    = {ARRAY(0x6160380)},
  series       = {Public Health Nutrition},
  title        = {Scoring models of a diet quality index and the predictive capability of mortality in a population-based cohort of Swedish men and women.},
  url          = {http://dx.doi.org/10.1017/S1368980012002789},
  year         = {2012},
}