Dietary patterns generated by the Treelet Transform and risk of stroke: a Danish cohort study

Signe B Frederiksen, Heidi H Themsen, Kim Overvad, Christina C Dahm*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)
67 Downloads (Pure)

Abstract

OBJECTIVE: To relate empirically derived dietary patterns identified using the Treelet Transform (TT) to risk of stroke.

DESIGN: A prospective cohort study using the Danish Diet, Cancer and Health cohort. Dietary information was obtained in 1993-1997 using a validated semi-quantitative FFQ. Incident stroke diagnoses, obtained from the Danish National Patient Register, were verified by record review. Dietary patterns were generated using TT, and participants were categorised into quintiles based on their adherence to each pattern. Sex-specific Cox proportional hazard models estimated associations between dietary patterns and stroke.

SETTING: Denmark.

PARTICIPANTS: 55 061 men and women aged 50-64 years at the time of enrolment.

RESULTS: Three dietary patterns explaining 15·4 % of the total variance were identified: a Prudent pattern, a Western pattern and a Wine & Snacks pattern. During a follow-up time of 10 years, 1513 cases occurred. Comparing the highest to lowest quintiles of intake, adherence to a Prudent pattern was inversely associated with stroke (HRmen 0·74, 95 % CI 0·60, 0·91; HRwomen 0·82, 95 % CI 0·62, 1·08), while adherence to a Western pattern was associated with greater risk (HRmen 1·61, 95 % CI 1·23, 2·10; HRwomen 2·01, 95 % CI 1·48, 2·72). No association was found for a Wine & Snacks pattern for women, but a weak inverse association was found for men (HR 0·81, 95 % CI 0·67, 0·99).

CONCLUSIONS: The results of this study are broadly in line with current recommendations for a healthy diet to prevent stroke.

Original languageEnglish
JournalPublic Health Nutrition
Volume24
Issue number1
Pages (from-to)84-94
Number of pages11
ISSN1368-9800
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Dietary patterns
  • Exploratory analysis
  • Stroke
  • Treelet Transform

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