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Search: onr:"swepub:oai:lup.lub.lu.se:9eadb0d5-3d79-4b0f-ad15-2c217466ec2f" > Validity of continu...

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Validity of continuous glucose monitoring for categorizing glycemic responses to diet : Implications for use in personalized nutrition

Merino, Jordi (author)
Massachusetts General Hospital,Harvard Medical School,Broad Institute
Linenberg, Inbar (author)
Zoe Global Limited
Bermingham, Kate M. (author)
King's College London
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Ganesh, Sajaysurya (author)
Zoe Global Limited
Bakker, Elco (author)
Zoe Global Limited
Delahanty, Linda M. (author)
Massachusetts General Hospital,Harvard Medical School
Chan, Andrew T. (author)
Harvard Medical School
Capdevila Pujol, Joan (author)
Zoe Global Limited
Wolf, Jonathan (author)
Zoe Global Limited
Al Khatib, Haya (author)
Zoe Global Limited
Franks, Paul W. (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University,Harvard T.H. Chan School of Public Health
Spector, Tim D. (author)
King's College London
Ordovas, Jose M. (author)
Autonomous University of Madrid,Jean Mayer USDA Human Nutrition Research Center on Aging
Berry, Sarah E. (author)
King's College London
Valdes, Ana M. (author)
University of Nottingham
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 (creator_code:org_t)
Elsevier BV, 2022
2022
English 8 s.
In: American Journal of Clinical Nutrition. - : Elsevier BV. - 0002-9165. ; 115:6, s. 1569-1576
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: Continuous glucose monitor (CGM) devices enable characterization of individuals' glycemic variation. However, there are concerns about their reliability for categorizing glycemic responses to foods that would limit their potential application in personalized nutrition recommendations. Objectives: We aimed to evaluate the concordance of 2 simultaneously worn CGM devices in measuring postprandial glycemic responses. Methods: Within ZOE PREDICT (Personalised Responses to Dietary Composition Trial) 1, 394 participants wore 2 CGM devices simultaneously [n = 360 participants with 2 Abbott Freestyle Libre Pro (FSL) devices; n = 34 participants with both FSL and Dexcom G6] for ≤14 d while consuming standardized (n = 4457) and ad libitum (n = 5738) meals. We examined the CV and correlation of the incremental area under the glucose curve at 2 h (glucoseiAUC0-2 h). Within-subject meal ranking was assessed using Kendall τ rank correlation. Concordance between paired devices in time in range according to the American Diabetes Association cutoffs (TIRADA) and glucose variability (glucose CV) was also investigated. Results: The CV of glucoseiAUC0-2 h for standardized meals was 3.7% (IQR: 1.7%-7.1%) for intrabrand device and 12.5% (IQR: 5.1%-24.8%) for interbrand device comparisons. Similar estimates were observed for ad libitum meals, with intrabrand and interbrand device CVs of glucoseiAUC0-2 h of 4.1% (IQR: 1.8%-7.1%) and 16.6% (IQR: 5.5%-30.7%), respectively. Kendall τ rank correlation showed glucoseiAUC0-2h-derived meal rankings were agreeable between paired CGM devices (intrabrand: 0.9; IQR: 0.8-0.9; interbrand: 0.7; IQR: 0.5-0.8). Paired CGMs also showed strong concordance for TIRADA with a intrabrand device CV of 4.8% (IQR: 1.9%-9.8%) and an interbrand device CV of 3.2% (IQR: 1.1%-6.2%). Conclusions: Our data demonstrate strong concordance of CGM devices in monitoring glycemic responses and suggest their potential use in personalized nutrition.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Näringslära (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nutrition and Dietetics (hsv//eng)

Keyword

continuous glucose monitoring
diet
glycemic variability
meal responses
precision nutrition

Publication and Content Type

art (subject category)
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