Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Association between urinary biomarkers of total sugars and sucrose intake and BMI in a cross-sectional study

Rachel Campbell, Natasha Tasevska, Kim G Jackson, Virag Sagi-Kiss, Nick di Paolo, Jennifer S Mindell, Susan J. Lister, Kay-Tee Khaw, Gunter G. C. Kuhnle
doi: https://doi.org/10.1101/099556
Rachel Campbell
1Department of Food & Nutritional Sciences, University of Reading, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Natasha Tasevska
2School of Nutrition and Health Promotion, Arizona State University, Arizona, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kim G Jackson
1Department of Food & Nutritional Sciences, University of Reading, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Virag Sagi-Kiss
1Department of Food & Nutritional Sciences, University of Reading, UK
2School of Nutrition and Health Promotion, Arizona State University, Arizona, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nick di Paolo
3NatCen Social Research, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer S Mindell
4Research Department of Epidemiology & Public Health, UCL, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Susan J. Lister
5Institute of Biological, Environmental and Rural Sciences, University of Aberystwyth, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kay-Tee Khaw
6Department of Public Health and Primary Care, University of Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gunter G. C. Kuhnle
1Department of Food & Nutritional Sciences, University of Reading, UK
4Research Department of Epidemiology & Public Health, UCL, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: g.g.kuhnle@reading.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Obesity is an important modifiable risk factors for chronic diseases. While there is increasing focus on the role of dietary sugars, there remains a paucity of data establishing the association between sugar intake and obesity in the general public. The objective of this study was to investigate associations of estimated sugar intake with odds for obesity in a representative samples of English adults. We used data from 434 participants of the 2005 Health Survey of England. Biomarkers for total sugar intake were measured in 24h urine samples and used to estimate intake. Linear and logistic regression analyses were used to investigate associations between estimated intake and measures of obesity (BMI, waist circumference and waist-to-hip ratio) and obesity risk., respectively. Estimated sugars intake was significantly associated with BMI, waist circumference and waist-to-hip ratio, and these associations remained significant after adjustment for estimated protein intake. Estimated sugars intake was also associated with increased odds for obesity based on BMI (OR 1.02; 95% CI 1.00; 1.04 per 10 g), waist-circumference (OR 1.03; 95% CI 1.01; 1.05) and waist-to-hip ratio (OR 1.04; 95% CI 1.02; 1.06); all OR estimates remained significant after adjusting for estimated protein intake. Our results show a significant association between biomarker-estimated total sugars intake and both measures of obesity and obesity risk, confirming positive associations between total sugar intake, measures of obesity and obesity risk. This biomarker could be used to monitor the efficacy of public health interventions.

Footnotes

  • Sources of funding: This project was supported by the World Cancer Research Fund (WCRF) and the Medical Research Council.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted January 11, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Association between urinary biomarkers of total sugars and sucrose intake and BMI in a cross-sectional study
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Association between urinary biomarkers of total sugars and sucrose intake and BMI in a cross-sectional study
Rachel Campbell, Natasha Tasevska, Kim G Jackson, Virag Sagi-Kiss, Nick di Paolo, Jennifer S Mindell, Susan J. Lister, Kay-Tee Khaw, Gunter G. C. Kuhnle
bioRxiv 099556; doi: https://doi.org/10.1101/099556
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Association between urinary biomarkers of total sugars and sucrose intake and BMI in a cross-sectional study
Rachel Campbell, Natasha Tasevska, Kim G Jackson, Virag Sagi-Kiss, Nick di Paolo, Jennifer S Mindell, Susan J. Lister, Kay-Tee Khaw, Gunter G. C. Kuhnle
bioRxiv 099556; doi: https://doi.org/10.1101/099556

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Epidemiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3514)
  • Biochemistry (7371)
  • Bioengineering (5347)
  • Bioinformatics (20329)
  • Biophysics (10048)
  • Cancer Biology (7782)
  • Cell Biology (11353)
  • Clinical Trials (138)
  • Developmental Biology (6454)
  • Ecology (9985)
  • Epidemiology (2065)
  • Evolutionary Biology (13361)
  • Genetics (9377)
  • Genomics (12616)
  • Immunology (7729)
  • Microbiology (19119)
  • Molecular Biology (7478)
  • Neuroscience (41163)
  • Paleontology (301)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3183)
  • Plant Biology (6885)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5329)
  • Zoology (1091)