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Author Notes:

Address correspondence to RDM (e-mail: rdaymerrill@cdc.gov) or PSS (e-email: psuchde@emory.edu).

The authors’ responsibilities were as follows—RDM and RMB: managed the data, carried out the data analysis and interpretation, and drafted the manuscript; CAN-C, PR-S, RF-A, SMLN, MKS, and PSS: provided input during the analysis; and all authors: read and approved the final manuscript.

For their contributions, we thank the BRINDA steering committee [Grant J Aaron, RF-A, SMLN, Daniel J Raiten, and PSS (chair)] and the BRINDA working group (O Yaw Addo, Deena Alasfour, Zulfiqar Bhutta, Reina Engle-Stone, Roland Kupka, Leila M Larson, Nino Lortkipanidze, Barbara MacDonald, Purnima Menon, Rebecca Merrill, Zuguo Mei, Christine A Northrop-Clewes, Pura Rayco-Solon, Rahul Rawat, Fabian Rohner, Fayrouz A Sakr Ashour, Ofelia P Saniel, Olga L Sarmiento, Mary Serdula, Saleh Al Shammakhi, Victor Temple, Andres B Tschannen, Ravi Varadhan, Anne Williams, and James P Wirth).

None of the authors reported a conflict of interest related to the study.

Subjects:

Research Funding:

Supported by the Bill & Melinda Gates Foundation, the US CDC, the Global Alliance for Improved Nutrition, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Nutrition & Dietetics
  • acute-phase response
  • inflammation
  • obesity
  • stunting
  • women and children
  • C-REACTIVE PROTEIN
  • ACUTE-PHASE RESPONSE
  • LOW-GRADE INFLAMMATION
  • INFANTS
  • PREDICTORS
  • FERRITIN
  • UNDERNUTRITION
  • METAANALYSIS
  • ADOLESCENTS
  • INDICATORS

Factors associated with inflammation in preschool children and women of reproductive age: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project

Tools:

Journal Title:

American Journal of Clinical Nutrition

Volume:

Volume 106, Number 1

Publisher:

, Pages 348S-358S

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: 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.Objective: 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).Design: 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.Results: 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.Conclusions: 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.

Copyright information:

© 2017 American Society for Nutrition

This is an Open Access work distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/).

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