Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study
Background/objectives The dietary inflammatory index (DII) is a tool to measure the diet’s inflammatory potential and has been used with adults to predict low-grade inflammation. The present study aims to assess whether this dietary score predicts low-grade inflammation in adolescents. Subjects/meth...
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creator | Almeida-de-Souza, Juliana Santos, Rute Barros, Renata Abreu, Sandra Moreira, Carla Lopes, Luís Mota, Jorge Moreira, Pedro |
description | Background/objectives
The dietary inflammatory index (DII) is a tool to measure the diet’s inflammatory potential and has been used with adults to predict low-grade inflammation. The present study aims to assess whether this dietary score predicts low-grade inflammation in adolescents.
Subjects/methods
The sample comprises 329 adolescents (55.9% girls), aged 12–18 years, from LabMed Physical Activity Study. DII score was calculated based on a food-frequency questionnaire and categorized into tertiles. We collected blood samples to determine the follow inflammatory biomarkers: C-reactive protein (CRP), interleukin-6 (IL-6), complement component 3 (C3), and 4 (C4). In addition we calculated an overall inflammatory biomarker score. Odds ratios (OR) and 95% confidence intervals (95%CI) were computed from binary logistic regression models.
Results
DII score, comparing first with third tertile, was positively associated with IL-6 in crude model (OR = 1.88, 95%CI:1.09–3.24,
p
trend
= 0.011) and in fully adjusted (for biological and lifestyle variables) (OR = 3.38, 95%CI:1.24–9.20,
p
trend
= 0.023). Also, DII score was positively associated with C4, when fully adjusted (OR = 3.12, 95%CI:1.21–8.10,
p
trend
= 0.016). DII score was negatively associated with C3 in crude model, comparing first with second but not with third tertile, and no significant associations in fully adjusted model were observed, although a trend was found (OR = 1.71, 95%CI:0.63–4.66,
p
trend
= 0.044). No significant associations were observed between DII score and CRP. However, DII score was positively associated with the overall inflammatory biomarker score, when fully adjusted (OR = 5.61, 95%CI:2.00–15.78,
p
trend
= 0.002).
Conclusions
DII score can be useful to assess the diet’s inflammatory potential and its association with low-grade inflammation in adolescents. |
doi_str_mv | 10.1038/s41430-017-0013-x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1980538515</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2037030081</sourcerecordid><originalsourceid>FETCH-LOGICAL-c507t-5dafd679be30b135b038bb3bdbe0c0d4072a9f9b0e20b4f1382519564ae39c6f3</originalsourceid><addsrcrecordid>eNp1kUtPxCAUhYnROOPjB7gxTdy4qV5KKe3SjM9kjBtdEyhUGfsYgZrpv5exo0YTV4TLdw_3noPQEYYzDCQ_dylOCcSAWQyASbzaQlOcsiymWQrbaAoFTWMCwCZoz7lFYFLGkl00SYqEsZzkU2QujfbCDpFpq1o0jfDd50XpVSRa9bssTdcI-6qtC_VIqK7WrtStd1FluyaaC3mvVbR8GZwpRR2J0pt344fI-V4NB2inErXTh5tzHz1dXz3ObuP5w83d7GIelxSYj6kSlcpYITUBiQmVYVEpiVRSQwkqBZaIoiok6ARkWmGSJxQXYWGhSVFmFdlHp6Pu0nZvvXaeNyZMWdei1V3vOC5yoCSnmAb05A-66Hrbhul4AoRBsC7HgcIjVdrOOasrvrQm-DBwDHydAx9z4CEHvs6Br0LP8Ua5l41W3x1fxgcgGQEXntpnbX--_l_1A4DAlOc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2037030081</pqid></control><display><type>article</type><title>Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Almeida-de-Souza, Juliana ; Santos, Rute ; Barros, Renata ; Abreu, Sandra ; Moreira, Carla ; Lopes, Luís ; Mota, Jorge ; Moreira, Pedro</creator><creatorcontrib>Almeida-de-Souza, Juliana ; Santos, Rute ; Barros, Renata ; Abreu, Sandra ; Moreira, Carla ; Lopes, Luís ; Mota, Jorge ; Moreira, Pedro</creatorcontrib><description>Background/objectives
The dietary inflammatory index (DII) is a tool to measure the diet’s inflammatory potential and has been used with adults to predict low-grade inflammation. The present study aims to assess whether this dietary score predicts low-grade inflammation in adolescents.
Subjects/methods
The sample comprises 329 adolescents (55.9% girls), aged 12–18 years, from LabMed Physical Activity Study. DII score was calculated based on a food-frequency questionnaire and categorized into tertiles. We collected blood samples to determine the follow inflammatory biomarkers: C-reactive protein (CRP), interleukin-6 (IL-6), complement component 3 (C3), and 4 (C4). In addition we calculated an overall inflammatory biomarker score. Odds ratios (OR) and 95% confidence intervals (95%CI) were computed from binary logistic regression models.
Results
DII score, comparing first with third tertile, was positively associated with IL-6 in crude model (OR = 1.88, 95%CI:1.09–3.24,
p
trend
= 0.011) and in fully adjusted (for biological and lifestyle variables) (OR = 3.38, 95%CI:1.24–9.20,
p
trend
= 0.023). Also, DII score was positively associated with C4, when fully adjusted (OR = 3.12, 95%CI:1.21–8.10,
p
trend
= 0.016). DII score was negatively associated with C3 in crude model, comparing first with second but not with third tertile, and no significant associations in fully adjusted model were observed, although a trend was found (OR = 1.71, 95%CI:0.63–4.66,
p
trend
= 0.044). No significant associations were observed between DII score and CRP. However, DII score was positively associated with the overall inflammatory biomarker score, when fully adjusted (OR = 5.61, 95%CI:2.00–15.78,
p
trend
= 0.002).
Conclusions
DII score can be useful to assess the diet’s inflammatory potential and its association with low-grade inflammation in adolescents.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/s41430-017-0013-x</identifier><identifier>PMID: 29277838</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/250/256/2515 ; 692/53 ; 692/700/2814 ; Adolescent ; Adolescents ; Adults ; Biomarkers ; Biomarkers - blood ; Body Mass Index ; C-reactive protein ; C-Reactive Protein - metabolism ; Child ; Clinical Nutrition ; Complement C3 - metabolism ; Complement C4 - metabolism ; Complement component C3 ; Complement component C4 ; Confidence intervals ; Diet ; Epidemiology ; Exercise ; Female ; Girls ; Health Behavior ; Humans ; Inflammation ; Inflammation - blood ; Interleukin 6 ; Interleukin-6 - blood ; Internal Medicine ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Nutrition Assessment ; Physical activity ; Prospective Studies ; Proteins ; Public Health ; Quality ; Regression analysis ; Regression models ; Risk Factors ; Socioeconomic Factors ; Statistical analysis ; Surveys and Questionnaires ; Teenagers</subject><ispartof>European journal of clinical nutrition, 2018-05, Vol.72 (5), p.710-719</ispartof><rights>Macmillan Publishers Limited, part of Springer Nature 2017</rights><rights>Copyright Nature Publishing Group May 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-5dafd679be30b135b038bb3bdbe0c0d4072a9f9b0e20b4f1382519564ae39c6f3</citedby><cites>FETCH-LOGICAL-c507t-5dafd679be30b135b038bb3bdbe0c0d4072a9f9b0e20b4f1382519564ae39c6f3</cites><orcidid>0000-0002-6722-1575 ; 0000-0002-2578-3684 ; 0000-0001-6680-0893</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29277838$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Almeida-de-Souza, Juliana</creatorcontrib><creatorcontrib>Santos, Rute</creatorcontrib><creatorcontrib>Barros, Renata</creatorcontrib><creatorcontrib>Abreu, Sandra</creatorcontrib><creatorcontrib>Moreira, Carla</creatorcontrib><creatorcontrib>Lopes, Luís</creatorcontrib><creatorcontrib>Mota, Jorge</creatorcontrib><creatorcontrib>Moreira, Pedro</creatorcontrib><title>Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/objectives
The dietary inflammatory index (DII) is a tool to measure the diet’s inflammatory potential and has been used with adults to predict low-grade inflammation. The present study aims to assess whether this dietary score predicts low-grade inflammation in adolescents.
Subjects/methods
The sample comprises 329 adolescents (55.9% girls), aged 12–18 years, from LabMed Physical Activity Study. DII score was calculated based on a food-frequency questionnaire and categorized into tertiles. We collected blood samples to determine the follow inflammatory biomarkers: C-reactive protein (CRP), interleukin-6 (IL-6), complement component 3 (C3), and 4 (C4). In addition we calculated an overall inflammatory biomarker score. Odds ratios (OR) and 95% confidence intervals (95%CI) were computed from binary logistic regression models.
Results
DII score, comparing first with third tertile, was positively associated with IL-6 in crude model (OR = 1.88, 95%CI:1.09–3.24,
p
trend
= 0.011) and in fully adjusted (for biological and lifestyle variables) (OR = 3.38, 95%CI:1.24–9.20,
p
trend
= 0.023). Also, DII score was positively associated with C4, when fully adjusted (OR = 3.12, 95%CI:1.21–8.10,
p
trend
= 0.016). DII score was negatively associated with C3 in crude model, comparing first with second but not with third tertile, and no significant associations in fully adjusted model were observed, although a trend was found (OR = 1.71, 95%CI:0.63–4.66,
p
trend
= 0.044). No significant associations were observed between DII score and CRP. However, DII score was positively associated with the overall inflammatory biomarker score, when fully adjusted (OR = 5.61, 95%CI:2.00–15.78,
p
trend
= 0.002).
Conclusions
DII score can be useful to assess the diet’s inflammatory potential and its association with low-grade inflammation in adolescents.</description><subject>631/250/256/2515</subject><subject>692/53</subject><subject>692/700/2814</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adults</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Body Mass Index</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - metabolism</subject><subject>Child</subject><subject>Clinical Nutrition</subject><subject>Complement C3 - metabolism</subject><subject>Complement C4 - metabolism</subject><subject>Complement component C3</subject><subject>Complement component C4</subject><subject>Confidence intervals</subject><subject>Diet</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Girls</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - blood</subject><subject>Interleukin 6</subject><subject>Interleukin-6 - blood</subject><subject>Internal Medicine</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Nutrition Assessment</subject><subject>Physical activity</subject><subject>Prospective Studies</subject><subject>Proteins</subject><subject>Public Health</subject><subject>Quality</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk Factors</subject><subject>Socioeconomic Factors</subject><subject>Statistical analysis</subject><subject>Surveys and Questionnaires</subject><subject>Teenagers</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kUtPxCAUhYnROOPjB7gxTdy4qV5KKe3SjM9kjBtdEyhUGfsYgZrpv5exo0YTV4TLdw_3noPQEYYzDCQ_dylOCcSAWQyASbzaQlOcsiymWQrbaAoFTWMCwCZoz7lFYFLGkl00SYqEsZzkU2QujfbCDpFpq1o0jfDd50XpVSRa9bssTdcI-6qtC_VIqK7WrtStd1FluyaaC3mvVbR8GZwpRR2J0pt344fI-V4NB2inErXTh5tzHz1dXz3ObuP5w83d7GIelxSYj6kSlcpYITUBiQmVYVEpiVRSQwkqBZaIoiok6ARkWmGSJxQXYWGhSVFmFdlHp6Pu0nZvvXaeNyZMWdei1V3vOC5yoCSnmAb05A-66Hrbhul4AoRBsC7HgcIjVdrOOasrvrQm-DBwDHydAx9z4CEHvs6Br0LP8Ua5l41W3x1fxgcgGQEXntpnbX--_l_1A4DAlOc</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Almeida-de-Souza, Juliana</creator><creator>Santos, Rute</creator><creator>Barros, Renata</creator><creator>Abreu, Sandra</creator><creator>Moreira, Carla</creator><creator>Lopes, Luís</creator><creator>Mota, Jorge</creator><creator>Moreira, Pedro</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6722-1575</orcidid><orcidid>https://orcid.org/0000-0002-2578-3684</orcidid><orcidid>https://orcid.org/0000-0001-6680-0893</orcidid></search><sort><creationdate>20180501</creationdate><title>Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study</title><author>Almeida-de-Souza, Juliana ; Santos, Rute ; Barros, Renata ; Abreu, Sandra ; Moreira, Carla ; Lopes, Luís ; Mota, Jorge ; Moreira, Pedro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-5dafd679be30b135b038bb3bdbe0c0d4072a9f9b0e20b4f1382519564ae39c6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>631/250/256/2515</topic><topic>692/53</topic><topic>692/700/2814</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adults</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Body Mass Index</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - metabolism</topic><topic>Child</topic><topic>Clinical Nutrition</topic><topic>Complement C3 - metabolism</topic><topic>Complement C4 - metabolism</topic><topic>Complement component C3</topic><topic>Complement component C4</topic><topic>Confidence intervals</topic><topic>Diet</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Female</topic><topic>Girls</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Inflammation - blood</topic><topic>Interleukin 6</topic><topic>Interleukin-6 - blood</topic><topic>Internal Medicine</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Nutrition Assessment</topic><topic>Physical activity</topic><topic>Prospective Studies</topic><topic>Proteins</topic><topic>Public Health</topic><topic>Quality</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk Factors</topic><topic>Socioeconomic Factors</topic><topic>Statistical analysis</topic><topic>Surveys and Questionnaires</topic><topic>Teenagers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almeida-de-Souza, Juliana</creatorcontrib><creatorcontrib>Santos, Rute</creatorcontrib><creatorcontrib>Barros, Renata</creatorcontrib><creatorcontrib>Abreu, Sandra</creatorcontrib><creatorcontrib>Moreira, Carla</creatorcontrib><creatorcontrib>Lopes, Luís</creatorcontrib><creatorcontrib>Mota, Jorge</creatorcontrib><creatorcontrib>Moreira, Pedro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida-de-Souza, Juliana</au><au>Santos, Rute</au><au>Barros, Renata</au><au>Abreu, Sandra</au><au>Moreira, Carla</au><au>Lopes, Luís</au><au>Mota, Jorge</au><au>Moreira, Pedro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2018-05-01</date><risdate>2018</risdate><volume>72</volume><issue>5</issue><spage>710</spage><epage>719</epage><pages>710-719</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/objectives
The dietary inflammatory index (DII) is a tool to measure the diet’s inflammatory potential and has been used with adults to predict low-grade inflammation. The present study aims to assess whether this dietary score predicts low-grade inflammation in adolescents.
Subjects/methods
The sample comprises 329 adolescents (55.9% girls), aged 12–18 years, from LabMed Physical Activity Study. DII score was calculated based on a food-frequency questionnaire and categorized into tertiles. We collected blood samples to determine the follow inflammatory biomarkers: C-reactive protein (CRP), interleukin-6 (IL-6), complement component 3 (C3), and 4 (C4). In addition we calculated an overall inflammatory biomarker score. Odds ratios (OR) and 95% confidence intervals (95%CI) were computed from binary logistic regression models.
Results
DII score, comparing first with third tertile, was positively associated with IL-6 in crude model (OR = 1.88, 95%CI:1.09–3.24,
p
trend
= 0.011) and in fully adjusted (for biological and lifestyle variables) (OR = 3.38, 95%CI:1.24–9.20,
p
trend
= 0.023). Also, DII score was positively associated with C4, when fully adjusted (OR = 3.12, 95%CI:1.21–8.10,
p
trend
= 0.016). DII score was negatively associated with C3 in crude model, comparing first with second but not with third tertile, and no significant associations in fully adjusted model were observed, although a trend was found (OR = 1.71, 95%CI:0.63–4.66,
p
trend
= 0.044). No significant associations were observed between DII score and CRP. However, DII score was positively associated with the overall inflammatory biomarker score, when fully adjusted (OR = 5.61, 95%CI:2.00–15.78,
p
trend
= 0.002).
Conclusions
DII score can be useful to assess the diet’s inflammatory potential and its association with low-grade inflammation in adolescents.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29277838</pmid><doi>10.1038/s41430-017-0013-x</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6722-1575</orcidid><orcidid>https://orcid.org/0000-0002-2578-3684</orcidid><orcidid>https://orcid.org/0000-0001-6680-0893</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Alma/SFX Local Collection |
subjects | 631/250/256/2515 692/53 692/700/2814 Adolescent Adolescents Adults Biomarkers Biomarkers - blood Body Mass Index C-reactive protein C-Reactive Protein - metabolism Child Clinical Nutrition Complement C3 - metabolism Complement C4 - metabolism Complement component C3 Complement component C4 Confidence intervals Diet Epidemiology Exercise Female Girls Health Behavior Humans Inflammation Inflammation - blood Interleukin 6 Interleukin-6 - blood Internal Medicine Longitudinal Studies Male Medicine Medicine & Public Health Metabolic Diseases Nutrition Assessment Physical activity Prospective Studies Proteins Public Health Quality Regression analysis Regression models Risk Factors Socioeconomic Factors Statistical analysis Surveys and Questionnaires Teenagers |
title | Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study |
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