High Adiposity Is Associated With Higher Nocturnal and Diurnal Glycaemia, but Not With Glycemic Variability in Older Individuals Without Diabetes
It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the associations of measures of adiposity with indices of glycemia and of glycemic variability over a 72-h period in non-diabetic older adults. This cro...
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Published in | Frontiers in endocrinology (Lausanne) Vol. 9; p. 238 |
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Main Authors | , , , , , , , , , , |
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14.05.2018
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Abstract | It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the associations of measures of adiposity with indices of glycemia and of glycemic variability over a 72-h period in non-diabetic older adults.
This cross-sectional study was conducted in non-diabetic individuals from the Active and Healthy Aging Study (
= 228), Switchbox (
= 116), and the Growing Old Together Study (
= 94). Body mass index (BMI) and waist circumference were measured, and indices of glycemia and glycemic variability were derived from continuous glucose monitoring (CGM) using the Mini-Med
CGM system. Associations between adiposity and CGM were studied separately for the three cohorts, and derived estimates were subsequently meta-analyzed.
After meta-analyzing the results from the separate cohorts, individuals with a higher BMI had higher levels of glycemia. Individuals with BMI between 30 and 35 kg/m
had 0.28 mmol/L [95% confidence interval (CI): 0.12-0.44] higher 72 h-mean glucose concentration, 0.26 mmol/L (0.10-0.42) higher diurnal glucose (6:00 a.m. to 0:00 a.m.), and 0.39 mmol/L (0.19; 0.59) higher nocturnal glucose (3:00 a.m. to 6:00 a.m.) than participants with a normal weight (BMI 18.5-25 kg/m
). However, no associations were observed between higher BMI and glycemic variability. Results for glycemia and glycemic variability were similarly observed for a high waist circumference.
High adiposity associates with constant higher mean glucose levels over the day in non-diabetic older adults. |
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AbstractList | BackgroundIt is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the associations of measures of adiposity with indices of glycemia and of glycemic variability over a 72-h period in non-diabetic older adults.MethodsThis cross-sectional study was conducted in non-diabetic individuals from the Active and Healthy Aging Study (N = 228), Switchbox (N = 116), and the Growing Old Together Study (N = 94). Body mass index (BMI) and waist circumference were measured, and indices of glycemia and glycemic variability were derived from continuous glucose monitoring (CGM) using the Mini-Med® CGM system. Associations between adiposity and CGM were studied separately for the three cohorts, and derived estimates were subsequently meta-analyzed.ResultsAfter meta-analyzing the results from the separate cohorts, individuals with a higher BMI had higher levels of glycemia. Individuals with BMI between 30 and 35 kg/m2 had 0.28 mmol/L [95% confidence interval (CI): 0.12–0.44] higher 72 h-mean glucose concentration, 0.26 mmol/L (0.10–0.42) higher diurnal glucose (6:00 a.m. to 0:00 a.m.), and 0.39 mmol/L (0.19; 0.59) higher nocturnal glucose (3:00 a.m. to 6:00 a.m.) than participants with a normal weight (BMI 18.5–25 kg/m2). However, no associations were observed between higher BMI and glycemic variability. Results for glycemia and glycemic variability were similarly observed for a high waist circumference.ConclusionHigh adiposity associates with constant higher mean glucose levels over the day in non-diabetic older adults. Background: It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the associations of measures of adiposity with indices of glycemia and of glycemic variability over a 72-h period in non-diabetic older adults. Methods: This cross-sectional study was conducted in non-diabetic individuals from the Active and Healthy Aging Study (N = 228), Switchbox (N = 116), and the Growing Old Together Study (N = 94). Body mass index (BMI) and waist circumference were measured, and indices of glycemia and glycemic variability were derived from continuous glucose monitoring (CGM) using the Mini-Med® CGM system. Associations between adiposity and CGM were studied separately for the three cohorts, and derived estimates were subsequently meta-analyzed. Results: After meta-analyzing the results from the separate cohorts, individuals with a higher BMI had higher levels of glycemia. Individuals with BMI between 30 and 35 kg/m2 had 0.28 mmol/L [95% confidence interval (CI): 0.12-0.44] higher 72 h-mean glucose concentration, 0.26 mmol/L (0.10-0.42) higher diurnal glucose (6:00 a.m. to 0:00 a.m.), and 0.39 mmol/L (0.19; 0.59) higher nocturnal glucose (3:00 a.m. to 6:00 a.m.) than participants with a normal weight (BMI 18.5-25 kg/m2). However, no associations were observed between higher BMI and glycemic variability. Results for glycemia and glycemic variability were similarly observed for a high waist circumference. Conclusion: High adiposity associates with constant higher mean glucose levels over the day in non-diabetic older adults. It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the associations of measures of adiposity with indices of glycemia and of glycemic variability over a 72-h period in non-diabetic older adults. This cross-sectional study was conducted in non-diabetic individuals from the Active and Healthy Aging Study ( = 228), Switchbox ( = 116), and the Growing Old Together Study ( = 94). Body mass index (BMI) and waist circumference were measured, and indices of glycemia and glycemic variability were derived from continuous glucose monitoring (CGM) using the Mini-Med CGM system. Associations between adiposity and CGM were studied separately for the three cohorts, and derived estimates were subsequently meta-analyzed. After meta-analyzing the results from the separate cohorts, individuals with a higher BMI had higher levels of glycemia. Individuals with BMI between 30 and 35 kg/m had 0.28 mmol/L [95% confidence interval (CI): 0.12-0.44] higher 72 h-mean glucose concentration, 0.26 mmol/L (0.10-0.42) higher diurnal glucose (6:00 a.m. to 0:00 a.m.), and 0.39 mmol/L (0.19; 0.59) higher nocturnal glucose (3:00 a.m. to 6:00 a.m.) than participants with a normal weight (BMI 18.5-25 kg/m ). However, no associations were observed between higher BMI and glycemic variability. Results for glycemia and glycemic variability were similarly observed for a high waist circumference. High adiposity associates with constant higher mean glucose levels over the day in non-diabetic older adults. |
Author | Noordam, Raymond Slagboom, P Eline Beekman, Marian Wijsman, Carolien A Stassen, Stephanie Jansen, Steffy W M Mooijaart, Simon P van Heemst, Diana Huurman, Neline C Akintola, Abimbola A van de Rest, Ondine |
AuthorAffiliation | 4 Institute for Evidence-Based Medicine in Old Age, IEMO , Leiden , Netherlands 1 Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center , Leiden , Netherlands 3 Division of Human Nutrition, Wageningen University and Research , Wageningen , Netherlands 2 Section Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center , Leiden , Netherlands |
AuthorAffiliation_xml | – name: 3 Division of Human Nutrition, Wageningen University and Research , Wageningen , Netherlands – name: 4 Institute for Evidence-Based Medicine in Old Age, IEMO , Leiden , Netherlands – name: 2 Section Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center , Leiden , Netherlands – name: 1 Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center , Leiden , Netherlands |
Author_xml | – sequence: 1 givenname: Raymond surname: Noordam fullname: Noordam, Raymond organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands – sequence: 2 givenname: Neline C surname: Huurman fullname: Huurman, Neline C organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands – sequence: 3 givenname: Carolien A surname: Wijsman fullname: Wijsman, Carolien A organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands – sequence: 4 givenname: Abimbola A surname: Akintola fullname: Akintola, Abimbola A organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands – sequence: 5 givenname: Steffy W M surname: Jansen fullname: Jansen, Steffy W M organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands – sequence: 6 givenname: Stephanie surname: Stassen fullname: Stassen, Stephanie organization: Section Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, Netherlands – sequence: 7 givenname: Marian surname: Beekman fullname: Beekman, Marian organization: Section Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, Netherlands – sequence: 8 givenname: Ondine surname: van de Rest fullname: van de Rest, Ondine organization: Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands – sequence: 9 givenname: P Eline surname: Slagboom fullname: Slagboom, P Eline organization: Section Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, Netherlands – sequence: 10 givenname: Simon P surname: Mooijaart fullname: Mooijaart, Simon P organization: Institute for Evidence-Based Medicine in Old Age, IEMO, Leiden, Netherlands – sequence: 11 givenname: Diana surname: van Heemst fullname: van Heemst, Diana organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands |
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Cites_doi | 10.1111/j.1532-5415.2009.02381.x 10.1371/journal.pone.0139973 10.1016/j.ijcard.2016.04.078 10.1001/jama.295.14.1681 10.2337/diabetes.52.7.1779 10.2196/jmir.2843 10.18632/aging.100877 10.1007/BF01218495 10.1038/ejcn.2009.139 10.2337/db08-0063 10.1371/journal.pone.0059153 10.1089/15209150050214078 10.18632/oncotarget.17111 10.1016/j.diabres.2012.10.001 10.1056/NEJM199602013340503 10.1210/jcem.86.5.7463 10.2337/dc14-S014 10.1161/CIRCULATIONAHA.116.026560 10.1016/j.nut.2012.07.003 10.1111/j.1463-1326.2009.01160.x 10.1038/sj.ejhg.5201508 10.1186/1758-5996-5-31 10.1161/CIRCULATIONAHA.105.169405 10.3389/fendo.2017.00236 10.1172/JCI200525102 10.1371/journal.pone.0149992 10.1038/sj.ijo.0801640 10.1038/srep11525 10.1093/epirev/mxm008 10.2337/diab.19.9.644 10.1056/NEJMoa1614362 10.1111/acel.12042 |
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Copyright | Copyright © 2018 Noordam, Huurman, Wijsman, Akintola, Jansen, Stassen, Beekman, van de Rest, Slagboom, Mooijaart and van Heemst. 2018 Noordam, Huurman, Wijsman, Akintola, Jansen, Stassen, Beekman, van de Rest, Slagboom, Mooijaart and van Heemst Wageningen University & Research |
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Keywords | glycemia glycemic variability adiposity body composition continuous glucose monitoring |
Language | English |
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Snippet | It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate the... BACKGROUNDIt is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate... Background: It is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate... BackgroundIt is well known that adiposity is a risk factor for insulin resistance and type 2 diabetes mellitus. In the present study, we aimed to investigate... |
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StartPage | 238 |
SubjectTerms | Adiposity Body composition Continuous glucose monitoring Endocrinology Glycemia Glycemic variability |
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Title | High Adiposity Is Associated With Higher Nocturnal and Diurnal Glycaemia, but Not With Glycemic Variability in Older Individuals Without Diabetes |
URI | https://www.ncbi.nlm.nih.gov/pubmed/29867770 https://search.proquest.com/docview/2050485458 https://pubmed.ncbi.nlm.nih.gov/PMC5960684 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F538345 https://doaj.org/article/d90e41e6499e4e3a8225b7f501f4fc05 |
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