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van de Rest O, Schutte BAM, Deelen J, Stassen SAM, van den Akker EB, van Heemst D, Dibbets-Schneider P, van Dipten-van der Veen RA, Kelderman M, Hankemeier T, Mooijaart SP, van der Grond J, Houwing-Duistermaat JJ, Beekman M, Feskens EJM, Slagboom PE. Metabolic effects of a 13-weeks lifestyle intervention in older adults: The Growing Old Together Study. Aging (Albany NY) 2016; 8:111-26. [PMID: 26824634 PMCID: PMC4761717 DOI: 10.18632/aging.100877] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
For people in their 40s and 50s, lifestyle programs have been shown to improve metabolic health. For older adults, however, it is not clear whether these programs are equally healthy. In the Growing Old Together study, we applied a 13-weeks lifestyle program, with a target of 12.5% caloric restriction and 12.5% increase in energy expenditure through an increase in physical activity, in 164 older adults (mean age=63.2 years; BMI=23-35 kg/m2). Mean weight loss was 4.2% (SE=2.8%) of baseline weight, which is comparable to a previous study in younger adults. Fasting insulin levels, however, showed a much smaller decrease (0.30 mU/L (SE=3.21)) and a more heterogeneous response (range=2.0-29.6 mU/L). Many other parameters of metabolic health, such as blood pressure, and thyroid, glucose and lipid metabolism improved significantly. Many 1H-NMR metabolites changed in a direction previously associated with a low risk of type 2 diabetes and cardiovascular disease and partially independently of weight loss. In conclusion, 25% reduction in energy balance for 13 weeks induced a metabolic health benefit in older adults, monitored by traditional and novel metabolic markers.
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Affiliation(s)
- Ondine van de Rest
- Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands
| | - Bianca A M Schutte
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Stephanie A M Stassen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Erik B van den Akker
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.,The Delft Bioinformatics Lab, Delft University of Technology, 2628 CD Delft, The Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | | | | | - Milou Kelderman
- Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands
| | - Thomas Hankemeier
- Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2300 RA, The Netherlands
| | - Simon P Mooijaart
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | | | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University, 6700 EV Wageningen, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
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