Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project
In many settings, populations experience recurrent exposure to inflammatory agents that catalyze fluctuations in the concentrations of acute-phase proteins and certain micronutrient biomarkers such as C-reactive protein (CRP), α-1-acid glycoprotein (AGP), ferritin, and retinol. Few data are availabl...
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| Veröffentlicht in: | The American journal of clinical nutrition 2017-07, Vol.106 (Suppl 1), p.348S-358S |
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| creator | Merrill, Rebecca D Burke, Rachel M Northrop-Clewes, Christine A Rayco-Solon, Pura Flores-Ayala, Rafael Namaste, Sorrel ML Serdula, Mary K Suchdev, Parminder S |
| description | In many settings, populations experience recurrent exposure to inflammatory agents that catalyze fluctuations in the concentrations of acute-phase proteins and certain micronutrient biomarkers such as C-reactive protein (CRP), α-1-acid glycoprotein (AGP), ferritin, and retinol. Few data are available on the prevalence and predictors of inflammation in diverse settings.
We aimed to assess the relation between inflammation (CRP concentration >5 mg/L or AGP concentration >1 g/L) and covariates, such as demographics, reported illness, and anthropometric status, in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y).
Cross-sectional data from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project from 29,765 PSC in 16 surveys and 25,731 WRA in 10 surveys were used to model bivariable and multivariable relations.
The inflammation prevalence was 6.0–40.2% in PSC and 7.9–29.5% in WRA (elevated CRP) and 21.2–64.3% in PSC and 7.1–26.7% in WRA (elevated AGP). In PSC, inflammation was consistently positively associated with recent fever and malaria but not with other recent illnesses. In multivariable models that were adjusted for age, sex, urban or rural residence, and socioeconomic status, elevated AGP was positively associated with stunting (height-for-age z score |
| doi_str_mv | 10.3945/ajcn.116.142315 |
| format | Article |
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We aimed to assess the relation between inflammation (CRP concentration >5 mg/L or AGP concentration >1 g/L) and covariates, such as demographics, reported illness, and anthropometric status, in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y).
Cross-sectional data from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project from 29,765 PSC in 16 surveys and 25,731 WRA in 10 surveys were used to model bivariable and multivariable relations.
The inflammation prevalence was 6.0–40.2% in PSC and 7.9–29.5% in WRA (elevated CRP) and 21.2–64.3% in PSC and 7.1–26.7% in WRA (elevated AGP). In PSC, inflammation was consistently positively associated with recent fever and malaria but not with other recent illnesses. In multivariable models that were adjusted for age, sex, urban or rural residence, and socioeconomic status, elevated AGP was positively associated with stunting (height-for-age z score <−2) in 7 of 10 surveys. In WRA, elevated CRP was positively associated with obesity [body mass index (in kg/m2) ≥30] in 7 of 9 surveys. Other covariates showed inconsistent patterns of association with inflammation. In a pooled analysis of surveys that measured malaria, stunting was associated with elevated AGP but not CRP in PSC, and obesity was associated with both elevated CRP and AGP in WRA.
Recent morbidity and abnormal anthropometric status are consistently associated with inflammation across a range of environments, whereas more commonly collected demographic covariates were not. Because of the challenge of defining a general demographic population or environmental profile that is more likely to experience inflammation, inflammatory markers should be measured in surveys to account for their effects.</description><identifier>ISSN: 0002-9165</identifier><identifier>ISSN: 1938-3207</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.3945/ajcn.116.142315</identifier><identifier>PMID: 28615263</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acute phase proteins ; Acute-Phase Reaction ; acute-phase response ; Adolescent ; Adult ; Age ; Anemia ; Anemia - diagnosis ; Anemia, Iron-Deficiency - diagnosis ; Anthropometry ; Biomarkers ; Biomarkers - analysis ; Body mass ; Body mass index ; Body size ; C-reactive protein ; C-Reactive Protein - analysis ; Child, Preschool ; Children ; Cross-Sectional Studies ; demographic statistics ; Demographics ; Demography ; Female ; Ferritin ; Ferritins - analysis ; Fever ; Glycoproteins ; growth retardation ; Humans ; Illnesses ; Infant ; Inflammation ; Inflammation - diagnosis ; Inflammation - epidemiology ; Malaria ; Middle Aged ; Morbidity ; Nutritional Status ; Obesity ; Orosomucoid - analysis ; Polls & surveys ; Preschool children ; Proteins ; socioeconomic status ; Socioeconomics ; stunting ; Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) ; surveys ; Vector-borne diseases ; Vitamin A ; Vitamin A - analysis ; Vitamin A Deficiency - diagnosis ; women ; women and children</subject><ispartof>The American journal of clinical nutrition, 2017-07, Vol.106 (Suppl 1), p.348S-358S</ispartof><rights>2017 American Society for Nutrition.</rights><rights>Copyright American Society for Clinical Nutrition, Inc. Jul 1, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-e1eeb9958666900043eae156dd656b86db30ca5f23b9d05e8806742bdbb106313</citedby><cites>FETCH-LOGICAL-c504t-e1eeb9958666900043eae156dd656b86db30ca5f23b9d05e8806742bdbb106313</cites><orcidid>0000-0002-0350-3469 ; 0000-0002-9427-9289 ; 0000-0002-6857-8461</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28615263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Merrill, Rebecca D</creatorcontrib><creatorcontrib>Burke, Rachel M</creatorcontrib><creatorcontrib>Northrop-Clewes, Christine A</creatorcontrib><creatorcontrib>Rayco-Solon, Pura</creatorcontrib><creatorcontrib>Flores-Ayala, Rafael</creatorcontrib><creatorcontrib>Namaste, Sorrel ML</creatorcontrib><creatorcontrib>Serdula, Mary K</creatorcontrib><creatorcontrib>Suchdev, Parminder S</creatorcontrib><title>Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project</title><title>The American journal of clinical nutrition</title><addtitle>Am J Clin Nutr</addtitle><description>In many settings, populations experience recurrent exposure to inflammatory agents that catalyze fluctuations in the concentrations of acute-phase proteins and certain micronutrient biomarkers such as C-reactive protein (CRP), α-1-acid glycoprotein (AGP), ferritin, and retinol. Few data are available on the prevalence and predictors of inflammation in diverse settings.
We aimed to assess the relation between inflammation (CRP concentration >5 mg/L or AGP concentration >1 g/L) and covariates, such as demographics, reported illness, and anthropometric status, in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y).
Cross-sectional data from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project from 29,765 PSC in 16 surveys and 25,731 WRA in 10 surveys were used to model bivariable and multivariable relations.
The inflammation prevalence was 6.0–40.2% in PSC and 7.9–29.5% in WRA (elevated CRP) and 21.2–64.3% in PSC and 7.1–26.7% in WRA (elevated AGP). In PSC, inflammation was consistently positively associated with recent fever and malaria but not with other recent illnesses. In multivariable models that were adjusted for age, sex, urban or rural residence, and socioeconomic status, elevated AGP was positively associated with stunting (height-for-age z score <−2) in 7 of 10 surveys. In WRA, elevated CRP was positively associated with obesity [body mass index (in kg/m2) ≥30] in 7 of 9 surveys. Other covariates showed inconsistent patterns of association with inflammation. In a pooled analysis of surveys that measured malaria, stunting was associated with elevated AGP but not CRP in PSC, and obesity was associated with both elevated CRP and AGP in WRA.
Recent morbidity and abnormal anthropometric status are consistently associated with inflammation across a range of environments, whereas more commonly collected demographic covariates were not. Because of the challenge of defining a general demographic population or environmental profile that is more likely to experience inflammation, inflammatory markers should be measured in surveys to account for their effects.</description><subject>Acute phase proteins</subject><subject>Acute-Phase Reaction</subject><subject>acute-phase response</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Anemia</subject><subject>Anemia - diagnosis</subject><subject>Anemia, Iron-Deficiency - diagnosis</subject><subject>Anthropometry</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Cross-Sectional Studies</subject><subject>demographic statistics</subject><subject>Demographics</subject><subject>Demography</subject><subject>Female</subject><subject>Ferritin</subject><subject>Ferritins - analysis</subject><subject>Fever</subject><subject>Glycoproteins</subject><subject>growth retardation</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Infant</subject><subject>Inflammation</subject><subject>Inflammation - diagnosis</subject><subject>Inflammation - epidemiology</subject><subject>Malaria</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Nutritional Status</subject><subject>Obesity</subject><subject>Orosomucoid - analysis</subject><subject>Polls & surveys</subject><subject>Preschool children</subject><subject>Proteins</subject><subject>socioeconomic status</subject><subject>Socioeconomics</subject><subject>stunting</subject><subject>Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA)</subject><subject>surveys</subject><subject>Vector-borne diseases</subject><subject>Vitamin A</subject><subject>Vitamin A - analysis</subject><subject>Vitamin A Deficiency - diagnosis</subject><subject>women</subject><subject>women and children</subject><issn>0002-9165</issn><issn>1938-3207</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kk1vEzEQhleIiobCmRuyxKUckvpj7aw5IKUtpZGqIlVwtrz2bOKwa6e2N4j_xQ_EUUpVkDjZ1jx-NDN6q-oNwTMma36mN8bPCBEzUlNG-LNqQiRrpozi-fNqgjGmU0kEP65eprTBmNC6ES-qY9oIwqlgk-rXlTY5xIR0SsE4ncGiHy6vkfNdr4dBZxd8eaBthGTWIfTIrF1vI3ikfWHDUG6hQxG2MdjRZLcDpFfwAZ27MOj4HYr8DroeSsmv0PKpd2-4HXN0-5fu0SVkiIPz2ue0ly48DE6j0_O75e3l4n1pImyK51V11Ok-weuH86T6dvXp68X19ObL5-XF4mZqOK7zFAhAKyVvhBCy7KJmoIFwYa3gom2EbRk2mneUtdJiDk2DxbymrW1bggUj7KT6ePBux3YAa8DnqHu1ja4M9lMF7dTfFe_WahV2itcSi1oUwemDIIb7EVJWg0sG-l57CGNSlMwF44wLWtB3_6CbMMaylKSIFKymWNasUGcHysSQUoTusRmC1T4Rap8IVRKhDokoP94-neGR_xOBAsgDAGWTOwdRJePAG7Aull0rG9x_5b8BDvbJRg</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Merrill, Rebecca D</creator><creator>Burke, Rachel M</creator><creator>Northrop-Clewes, Christine A</creator><creator>Rayco-Solon, Pura</creator><creator>Flores-Ayala, Rafael</creator><creator>Namaste, Sorrel ML</creator><creator>Serdula, Mary K</creator><creator>Suchdev, Parminder S</creator><general>Elsevier Inc</general><general>American Society for Clinical Nutrition, Inc</general><general>American Society for Nutrition</general><scope>6I.</scope><scope>AAFTH</scope><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>7QP</scope><scope>7T7</scope><scope>7TS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0350-3469</orcidid><orcidid>https://orcid.org/0000-0002-9427-9289</orcidid><orcidid>https://orcid.org/0000-0002-6857-8461</orcidid></search><sort><creationdate>20170701</creationdate><title>Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project</title><author>Merrill, Rebecca D ; Burke, Rachel M ; Northrop-Clewes, Christine A ; Rayco-Solon, Pura ; Flores-Ayala, Rafael ; Namaste, Sorrel ML ; Serdula, Mary K ; Suchdev, Parminder S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-e1eeb9958666900043eae156dd656b86db30ca5f23b9d05e8806742bdbb106313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acute phase proteins</topic><topic>Acute-Phase Reaction</topic><topic>acute-phase response</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Anemia</topic><topic>Anemia - diagnosis</topic><topic>Anemia, Iron-Deficiency - diagnosis</topic><topic>Anthropometry</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Cross-Sectional Studies</topic><topic>demographic statistics</topic><topic>Demographics</topic><topic>Demography</topic><topic>Female</topic><topic>Ferritin</topic><topic>Ferritins - analysis</topic><topic>Fever</topic><topic>Glycoproteins</topic><topic>growth retardation</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Infant</topic><topic>Inflammation</topic><topic>Inflammation - diagnosis</topic><topic>Inflammation - epidemiology</topic><topic>Malaria</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Nutritional Status</topic><topic>Obesity</topic><topic>Orosomucoid - analysis</topic><topic>Polls & surveys</topic><topic>Preschool children</topic><topic>Proteins</topic><topic>socioeconomic status</topic><topic>Socioeconomics</topic><topic>stunting</topic><topic>Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA)</topic><topic>surveys</topic><topic>Vector-borne diseases</topic><topic>Vitamin A</topic><topic>Vitamin A - analysis</topic><topic>Vitamin A Deficiency - diagnosis</topic><topic>women</topic><topic>women and children</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Merrill, Rebecca D</creatorcontrib><creatorcontrib>Burke, Rachel M</creatorcontrib><creatorcontrib>Northrop-Clewes, Christine A</creatorcontrib><creatorcontrib>Rayco-Solon, Pura</creatorcontrib><creatorcontrib>Flores-Ayala, Rafael</creatorcontrib><creatorcontrib>Namaste, Sorrel ML</creatorcontrib><creatorcontrib>Serdula, Mary K</creatorcontrib><creatorcontrib>Suchdev, Parminder S</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Merrill, Rebecca D</au><au>Burke, Rachel M</au><au>Northrop-Clewes, Christine A</au><au>Rayco-Solon, Pura</au><au>Flores-Ayala, Rafael</au><au>Namaste, Sorrel ML</au><au>Serdula, Mary K</au><au>Suchdev, Parminder S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>106</volume><issue>Suppl 1</issue><spage>348S</spage><epage>358S</epage><pages>348S-358S</pages><issn>0002-9165</issn><issn>1938-3207</issn><eissn>1938-3207</eissn><abstract>In many settings, populations experience recurrent exposure to inflammatory agents that catalyze fluctuations in the concentrations of acute-phase proteins and certain micronutrient biomarkers such as C-reactive protein (CRP), α-1-acid glycoprotein (AGP), ferritin, and retinol. Few data are available on the prevalence and predictors of inflammation in diverse settings.
We aimed to assess the relation between inflammation (CRP concentration >5 mg/L or AGP concentration >1 g/L) and covariates, such as demographics, reported illness, and anthropometric status, in preschool children (PSC) (age range: 6–59 mo) and women of reproductive age (WRA) (age range: 15–49 y).
Cross-sectional data from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project from 29,765 PSC in 16 surveys and 25,731 WRA in 10 surveys were used to model bivariable and multivariable relations.
The inflammation prevalence was 6.0–40.2% in PSC and 7.9–29.5% in WRA (elevated CRP) and 21.2–64.3% in PSC and 7.1–26.7% in WRA (elevated AGP). In PSC, inflammation was consistently positively associated with recent fever and malaria but not with other recent illnesses. In multivariable models that were adjusted for age, sex, urban or rural residence, and socioeconomic status, elevated AGP was positively associated with stunting (height-for-age z score <−2) in 7 of 10 surveys. In WRA, elevated CRP was positively associated with obesity [body mass index (in kg/m2) ≥30] in 7 of 9 surveys. Other covariates showed inconsistent patterns of association with inflammation. In a pooled analysis of surveys that measured malaria, stunting was associated with elevated AGP but not CRP in PSC, and obesity was associated with both elevated CRP and AGP in WRA.
Recent morbidity and abnormal anthropometric status are consistently associated with inflammation across a range of environments, whereas more commonly collected demographic covariates were not. Because of the challenge of defining a general demographic population or environmental profile that is more likely to experience inflammation, inflammatory markers should be measured in surveys to account for their effects.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28615263</pmid><doi>10.3945/ajcn.116.142315</doi><orcidid>https://orcid.org/0000-0002-0350-3469</orcidid><orcidid>https://orcid.org/0000-0002-9427-9289</orcidid><orcidid>https://orcid.org/0000-0002-6857-8461</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Acute phase proteins Acute-Phase Reaction acute-phase response Adolescent Adult Age Anemia Anemia - diagnosis Anemia, Iron-Deficiency - diagnosis Anthropometry Biomarkers Biomarkers - analysis Body mass Body mass index Body size C-reactive protein C-Reactive Protein - analysis Child, Preschool Children Cross-Sectional Studies demographic statistics Demographics Demography Female Ferritin Ferritins - analysis Fever Glycoproteins growth retardation Humans Illnesses Infant Inflammation Inflammation - diagnosis Inflammation - epidemiology Malaria Middle Aged Morbidity Nutritional Status Obesity Orosomucoid - analysis Polls & surveys Preschool children Proteins socioeconomic status Socioeconomics stunting Supplement—Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) surveys Vector-borne diseases Vitamin A Vitamin A - analysis Vitamin A Deficiency - diagnosis women women and children |
| title | Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project |
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