TY - JOUR
T1 - A dietary biomarker approach captures compliance and cardiometabolic effects of a healthy nordic diet in individuals with metabolic syndrome
AU - Marklund, Matti
AU - Magnusdottir, Ola K
AU - Rosqvist, Fredrik
AU - Cloetens, Lieselotte
AU - Landberg, Rikard
AU - Kolehmainen, Marjukka
AU - Brader, Lea
AU - Hermansen, Kjeld
AU - Poutanen, Kaisa S
AU - Herzig, Karl-Heinz
AU - Hukkanen, Janne
AU - Savolainen, Markku J
AU - Dragsted, Lars Ove
AU - Schwab, Ursula
AU - Paananen, Jussi
AU - Uusitupa, Matti
AU - Akesson, Björn
AU - Thorsdottir, Inga
AU - Risérus, Ulf
N1 - CURIS 2014 NEXS 310
PY - 2014
Y1 - 2014
N2 - Assessment of compliance with dietary interventions is necessary to understand the observed magnitude of the health effects of the diet per se. To avoid reporting bias, different dietary biomarkers (DBs) could be used instead of self-reported data. However, few studies investigated a combination of DBs to assess compliance and its influence on cardiometabolic risk factors. The objectives of this study were to use acombination of DBs toassesscompliance andto investigatehowahealthyNordic diet(ND) influencescardiometabolic risk factors in participantswith high apparent compliance comparedwith the whole study population. From a recently conducted isocaloric randomized trial, SYSDIET (Systems Biology in Controlled Dietary Interventions and Cohort Studies), in 166 individuals withmetabolic syndrome, several DBs were assessed to reflect different key components of the ND: canola oil (serumphospholipid a-linolenic acid), fatty fish [eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)], vegetables (plasma b-carotene), and whole grains (plasma alkylresorcinols). High-fat dairy intake (expectedly low in the ND) was reflected by serum pentadecanoic acid. All participants with biomarker data (n = 154) were included in the analyses. Biomarkers were combined by using a biomarker rank score (DB score) and principal component analysis (PCA). The DB score was then used to assess compliance. During the intervention, median concentrations of alkylresorcinols, α-linolenic acid,EPA, and DHA were>25%higher in the ND individuals than in the controls (P>0.05),where as median concentrations of pentadecanoic acid were14%higher in controls (P>0.05). MedianDBscorewas57%higher in the ND than in controls (P > 0.001) during the intervention, and participants were ranked similarly by DB score and PCA score. Overall, estimates of group difference in cardiometabolic effects generally appeared to be greater among compliant participants than in the whole study population (e.g., estimates of treatment effects on blood pressure and lipoproteinswere;1.5- to 2-fold greater in the most compliant participants), suggesting that poor compliance attenuated the dietary effects. With adequate consideration of their limitations, DB combinations (e.g., DB score) could be useful for assessing compliance in intervention studies investigating cardiometabolic effects of healthy dietary patterns. The study was registered at clinicaltrials.gov as NCT00992641.
AB - Assessment of compliance with dietary interventions is necessary to understand the observed magnitude of the health effects of the diet per se. To avoid reporting bias, different dietary biomarkers (DBs) could be used instead of self-reported data. However, few studies investigated a combination of DBs to assess compliance and its influence on cardiometabolic risk factors. The objectives of this study were to use acombination of DBs toassesscompliance andto investigatehowahealthyNordic diet(ND) influencescardiometabolic risk factors in participantswith high apparent compliance comparedwith the whole study population. From a recently conducted isocaloric randomized trial, SYSDIET (Systems Biology in Controlled Dietary Interventions and Cohort Studies), in 166 individuals withmetabolic syndrome, several DBs were assessed to reflect different key components of the ND: canola oil (serumphospholipid a-linolenic acid), fatty fish [eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)], vegetables (plasma b-carotene), and whole grains (plasma alkylresorcinols). High-fat dairy intake (expectedly low in the ND) was reflected by serum pentadecanoic acid. All participants with biomarker data (n = 154) were included in the analyses. Biomarkers were combined by using a biomarker rank score (DB score) and principal component analysis (PCA). The DB score was then used to assess compliance. During the intervention, median concentrations of alkylresorcinols, α-linolenic acid,EPA, and DHA were>25%higher in the ND individuals than in the controls (P>0.05),where as median concentrations of pentadecanoic acid were14%higher in controls (P>0.05). MedianDBscorewas57%higher in the ND than in controls (P > 0.001) during the intervention, and participants were ranked similarly by DB score and PCA score. Overall, estimates of group difference in cardiometabolic effects generally appeared to be greater among compliant participants than in the whole study population (e.g., estimates of treatment effects on blood pressure and lipoproteinswere;1.5- to 2-fold greater in the most compliant participants), suggesting that poor compliance attenuated the dietary effects. With adequate consideration of their limitations, DB combinations (e.g., DB score) could be useful for assessing compliance in intervention studies investigating cardiometabolic effects of healthy dietary patterns. The study was registered at clinicaltrials.gov as NCT00992641.
U2 - 10.3945/jn.114.193771
DO - 10.3945/jn.114.193771
M3 - Journal article
C2 - 25080537
SN - 0022-3166
VL - 144
SP - 1642
EP - 1649
JO - Journal of Nutrition
JF - Journal of Nutrition
IS - 10
ER -