Dietary saturated fat and low-grade inflammation modified by accelerometer-measured physical activity in adolescence: results from the GINIplus and LISA birth ... View Full Text


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Article Info

DATE

2019-06-25

AUTHORS

Carla P. Harris, Andrea von Berg, Dietrich Berdel, Carl-Peter Bauer, Tamara Schikowski, Sibylle Koletzko, Joachim Heinrich, Holger Schulz, Marie Standl

ABSTRACT

BackgroundSaturated fatty acids (SFA) have been reported to promote inflammation. Nevertheless, evidence linking dietary SFA and low-grade inflammation in adolescents is scarce and inconsistent. The modulatory role of physical activity (PA) on fat metabolism and inflammation may provide a potential explanation. Thus, we assessed the association of dietary SFA with high-sensitivity C-reactive protein (hsCRP), a marker of low-grade inflammation, in 15-year-olds, and evaluated possible interactions between dietary SFA and different levels of PA.MethodsChildren participating in the 15-year follow-ups of the GINIplus and LISA German birth cohort studies were included (N = 824). SFA intake was estimated by means of a food frequency questionnaire and PA recorded by accelerometers. Average daily minutes of PA were classified into “sedentary”, “light” and “moderate-to-vigorous” (MVPA), using Freedson’s cut-offs. HsCRP concentrations were measured in serum and categorized into 3 sex-specific levels (below detection limit (I), above 75th percentile (III), in between (II)). Sex-stratified cross-sectional associations between SFA and hsCRP were assessed using multinomial logistic regression, adjusting for potential confounders. Interaction terms were included between SFA and the different PA levels; and if significant interactions were observed, analyses stratified by tertiles of the relevant PA levels were performed. Relative risk ratios (RRR) and 95% confidence intervals (95%CI) were presented for a 1% increase in SFA.ResultsAn inverse association was observed between SFA intake and hsCRP (II vs. I) in males (RRR = 0.85 [95%CI = 0.76;0.96], p = 0.008), whereas no significant association was observed in females. A significant interaction was observed with “sedentary” and “light” PA but not with MVPA in both sexes (p < 0.05). Stratified analyses indicated a significant inverse association between SFA and medium hsCRP levels in males in the highest light PA tertile (hsCRP II vs. I: 0.67 [0.517;0.858], p = 0.002).ConclusionOur findings do not support a detrimental role of dietary SFA in low-grade inflammation among adolescents. In males, higher dietary SFA was associated with lower hsCRP, although this should be interpreted in the context of possibly correlated nutrients. Children spending the most time in light PA drove the observed inverse association, suggesting a synergistic effect of SFA and lifestyle PA in the resultant inflammatory response. More... »

PAGES

818

References to SciGraph publications

  • 2014-09-15. C-reactive protein reference percentiles among pre-adolescent children in Europe based on the IDEFICS study population in INTERNATIONAL JOURNAL OF OBESITY
  • 2017-06-07. Associations between fatty acids and low-grade inflammation in children from the LISAplus birth cohort study in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2004-01-06. The DONALD Study in EUROPEAN JOURNAL OF NUTRITION
  • 2010-06-08. Associations of physical activity, cardiorespiratory fitness and fatness with low-grade inflammation in adolescents: the AFINOS Study in INTERNATIONAL JOURNAL OF OBESITY
  • 2013-10-23. Dietary factors associated with subclinical inflammation among girls in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2014-03-19. Fatty acids derived from a food frequency questionnaire and measured in the erythrocyte membrane in relation to adiponectin and leptin concentrations in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2015-09-02. Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study in BMC PUBLIC HEALTH
  • 1988-04. A self-report measure of pubertal status: Reliability, validity, and initial norms in JOURNAL OF YOUTH AND ADOLESCENCE
  • 2007-07-24. Associations of low-grade inflammation with physical activity, fitness and fatness in prepubertal children; the European Youth Heart Study in INTERNATIONAL JOURNAL OF OBESITY
  • 2011-08-05. The anti-inflammatory effects of exercise: mechanisms and implications for the prevention and treatment of disease in NATURE REVIEWS IMMUNOLOGY
  • 2016-06-28. Variation in population levels of physical activity in European children and adolescents according to cross-European studies: a systematic literature review within DEDIPAC in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2016-11-16. Postprandial lipemic and inflammatory responses to high-fat meals: a review of the roles of acute and chronic exercise in NUTRITION & METABOLISM
  • 2002. Modern Applied Statistics with S in NONE
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    http://scigraph.springernature.com/pub.10.1186/s12889-019-7113-6

    DOI

    http://dx.doi.org/10.1186/s12889-019-7113-6

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31238900


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        "description": "BackgroundSaturated fatty acids (SFA) have been reported to promote inflammation. Nevertheless, evidence linking dietary SFA and low-grade inflammation in adolescents is scarce and inconsistent. The modulatory role of physical activity (PA) on fat metabolism and inflammation may provide a potential explanation. Thus, we assessed the association of dietary SFA with high-sensitivity C-reactive protein (hsCRP), a marker of low-grade inflammation, in 15-year-olds, and evaluated possible interactions between dietary SFA and different levels of PA.MethodsChildren participating in the 15-year follow-ups of the GINIplus and LISA German birth cohort studies were included (N\u2009=\u2009824). SFA intake was estimated by means of a food frequency questionnaire and PA recorded by accelerometers. Average daily minutes of PA were classified into \u201csedentary\u201d, \u201clight\u201d and \u201cmoderate-to-vigorous\u201d (MVPA), using Freedson\u2019s cut-offs. HsCRP concentrations were measured in serum and categorized into 3 sex-specific levels (below detection limit (I), above 75th percentile (III), in between (II)). Sex-stratified cross-sectional associations between SFA and hsCRP were assessed using multinomial logistic regression, adjusting for potential confounders. Interaction terms were included between SFA and the different PA levels; and if significant interactions were observed, analyses stratified by tertiles of the relevant PA levels were performed. Relative risk ratios (RRR) and 95% confidence intervals (95%CI) were presented for a 1% increase in SFA.ResultsAn inverse association was observed between SFA intake and hsCRP (II vs. I) in males (RRR\u2009=\u20090.85 [95%CI\u2009=\u20090.76;0.96], p\u2009=\u20090.008), whereas no significant association was observed in females. A significant interaction was observed with \u201csedentary\u201d and \u201clight\u201d PA but not with MVPA in both sexes (p\u2009<\u20090.05). Stratified analyses indicated a significant inverse association between SFA and medium hsCRP levels in males in the highest light PA tertile (hsCRP II vs. I: 0.67 [0.517;0.858], p\u2009=\u20090.002).ConclusionOur findings do not support a detrimental role of dietary SFA in low-grade inflammation among adolescents. In males, higher dietary SFA was associated with lower hsCRP, although this should be interpreted in the context of possibly correlated nutrients. Children spending the most time in light PA drove the observed inverse association, suggesting a synergistic effect of SFA and lifestyle PA in the resultant inflammatory response.", 
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    33 schema:description BackgroundSaturated fatty acids (SFA) have been reported to promote inflammation. Nevertheless, evidence linking dietary SFA and low-grade inflammation in adolescents is scarce and inconsistent. The modulatory role of physical activity (PA) on fat metabolism and inflammation may provide a potential explanation. Thus, we assessed the association of dietary SFA with high-sensitivity C-reactive protein (hsCRP), a marker of low-grade inflammation, in 15-year-olds, and evaluated possible interactions between dietary SFA and different levels of PA.MethodsChildren participating in the 15-year follow-ups of the GINIplus and LISA German birth cohort studies were included (N = 824). SFA intake was estimated by means of a food frequency questionnaire and PA recorded by accelerometers. Average daily minutes of PA were classified into “sedentary”, “light” and “moderate-to-vigorous” (MVPA), using Freedson’s cut-offs. HsCRP concentrations were measured in serum and categorized into 3 sex-specific levels (below detection limit (I), above 75th percentile (III), in between (II)). Sex-stratified cross-sectional associations between SFA and hsCRP were assessed using multinomial logistic regression, adjusting for potential confounders. Interaction terms were included between SFA and the different PA levels; and if significant interactions were observed, analyses stratified by tertiles of the relevant PA levels were performed. Relative risk ratios (RRR) and 95% confidence intervals (95%CI) were presented for a 1% increase in SFA.ResultsAn inverse association was observed between SFA intake and hsCRP (II vs. I) in males (RRR = 0.85 [95%CI = 0.76;0.96], p = 0.008), whereas no significant association was observed in females. A significant interaction was observed with “sedentary” and “light” PA but not with MVPA in both sexes (p < 0.05). Stratified analyses indicated a significant inverse association between SFA and medium hsCRP levels in males in the highest light PA tertile (hsCRP II vs. I: 0.67 [0.517;0.858], p = 0.002).ConclusionOur findings do not support a detrimental role of dietary SFA in low-grade inflammation among adolescents. In males, higher dietary SFA was associated with lower hsCRP, although this should be interpreted in the context of possibly correlated nutrients. Children spending the most time in light PA drove the observed inverse association, suggesting a synergistic effect of SFA and lifestyle PA in the resultant inflammatory response.
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