Literature DB >> 26926594

Socio-economic differences in cardiometabolic risk markers are mediated by diet and body fatness in 8- to 11-year-old Danish children: a cross-sectional study.

Hanne Hauger1, Margit V Groth2, Christian Ritz1, Anja Biltoft-Jensen2, Rikke Andersen2, Stine-Mathilde Dalskov1, Mads F Hjorth1, Anders Sjödin1, Arne Astrup1, Kim F Michaelsen1, Camilla T Damsgaard1.   

Abstract

OBJECTIVE: To explore whether socio-economic differences exist in cardiometabolic risk markers in children and whether lifestyle-related factors potentially mediate these differences.
DESIGN: Cross-sectional study including measurements of fasting blood lipids, glucose, homeostasis model assessment of insulin resistance (HOMA-IR), blood pressure and heart rate. Potential mediators examined were fat mass index (FMI); intakes of fruit, vegetables, dietary fibre and added sugar; whole-blood n-3 long-chain PUFA (LCPUFA) as a biomarker of fish intake; and physical activity and sedentary time.
SETTING: Nine primary schools in Denmark.
SUBJECTS: Children aged 8-11 years (n 715).
RESULTS: Children of parents with the shortest compared with longest education had higher TAG by 0·12 (95 % CI 0·04, 0·21) mmol/l and HOMA-IR by 0·36 (0·10, 0·62), whereas children of parents with a vocational education had higher total cholesterol by 0·14 (0·02, 0·27) mmol/l and LDL cholesterol by 0·14 (0·03, 0·25) mmol/l compared with children of parents with the longest education; all P<0·05. FMI explained 25 % of the difference in TAG, 64 % of the difference in HOMA-IR and 21-29 % of the differences in cholesterols. FMI and whole-blood n-3 LCPUFA combined explained 42 % of the difference in TAG, whereas FMI, whole-blood n-3 LCPUFA and dietary fibre explained 89 % of the difference in HOMA-IR.
CONCLUSIONS: Socio-economic differences were present in blood lipids and insulin resistance among 8- to 11-year-olds and were mediated by body fatness, whole-blood n-3 LCPUFA and dietary fibre. These lifestyle factors may be targets in public initiatives to reduce socio-economic differences. Confirmation in longitudinal studies and trials is warranted.

Entities:  

Keywords:  Cardiometabolic risk markers; Children; Mediation; Socio-economic differences

Mesh:

Substances:

Year:  2016        PMID: 26926594     DOI: 10.1017/S1368980015003766

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  1 in total

1.  Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology.

Authors:  Signe M Jensen; Hanne Hauger; Christian Ritz
Journal:  PLoS One       Date:  2018-02-12       Impact factor: 3.240

  1 in total

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