Association between urinary biomarkers of total sugars intake and measures of obesity 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

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Obesity is an important modifiable risk factor 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 sample of English adults. We used data from 434 participants of the 2005 Health Survey of England. Biomarkers for total sugar intake were measured in 24 h urine samples and used to estimate intake. Linear and logistic regression analyses were used to investigate associations between biomarker-based estimated intake and measures of obesity (body mass intake (BMI), waist circumference and waist-to-hip ratio) and obesity risk, respectively. Estimated sugar intake was significantly associated with BMI, waist circumference and waist-to-hip ratio; these associations remained significant after adjustment for estimated protein intake as a marker of non-sugar energy intake. Estimated sugar intake was also associated with increased odds for obesity based on BMI (OR 1.02; 95%CI 1.00-1.04 per 10g), waist-circumference (1.03; 1.01-1.05) and waist-to-hip ratio (1.04; 1.02-1.06); all OR estimates remained significant after adjusting for estimated protein intake. Our results strongly support positive associations between total sugar intake, measures of obesity and likelihood of being obese. It is the first time that such an association has been shown in a nationally-representative sample of the general population using a validated biomarker. This biomarker could be used to monitor the efficacy of public health interventions to reduce sugar intake.

Original languageEnglish (US)
Pages (from-to)e0179508
JournalPLoS One
Volume12
Issue number7
DOIs
StatePublished - Jan 1 2017

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Biomarkers
cross-sectional studies
Sugars
biomarkers
obesity
Obesity
Cross-Sectional Studies
sugars
Waist-Hip Ratio
waist-to-hip ratio
Waist Circumference
waist circumference
protein intake
Dietary Sucrose
Association reactions
Body Weights and Measures
Public health
Energy Intake
Health Surveys
England

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Campbell, R., Tasevska, N., Jackson, K. G., Sagi-Kiss, V., di Paolo, N., Mindell, J. S., ... Kuhnle, G. G. C. (2017). Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study. PLoS One, 12(7), e0179508. https://doi.org/10.1371/journal.pone.0179508

Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study. / Campbell, Rachel; Tasevska, Natasha; Jackson, Kim G.; Sagi-Kiss, Virag; di Paolo, Nick; Mindell, Jennifer S.; Lister, Susan J.; Khaw, Kay Tee; Kuhnle, Gunter G.C.

In: PLoS One, Vol. 12, No. 7, 01.01.2017, p. e0179508.

Research output: Contribution to journalArticle

Campbell, R, Tasevska, N, Jackson, KG, Sagi-Kiss, V, di Paolo, N, Mindell, JS, Lister, SJ, Khaw, KT & Kuhnle, GGC 2017, 'Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study', PLoS One, vol. 12, no. 7, pp. e0179508. https://doi.org/10.1371/journal.pone.0179508
Campbell, Rachel ; Tasevska, Natasha ; Jackson, Kim G. ; Sagi-Kiss, Virag ; di Paolo, Nick ; Mindell, Jennifer S. ; Lister, Susan J. ; Khaw, Kay Tee ; Kuhnle, Gunter G.C. / Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study. In: PLoS One. 2017 ; Vol. 12, No. 7. pp. e0179508.
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