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The effect of a diet moderately high in protein and fiber on insulin sensitivity measured using the dynamic insulin sensitivity and secretion test (DISST)

journal contribution
posted on 20.08.2020 by Lisa Te Morenga, P Docherty, S Williams, J Mann
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. Evidence shows that weight loss improves insulin sensitivity but few studies have examined the effect of macronutrient composition independently of weight loss on direct measures of insulin sensitivity. We randomised 89 overweight or obese women to either a standard diet (StdD), that was intended to be low in fat and relatively high in carbohydrate (n = 42) or to a relatively high protein (up to 30% of energy), relatively high fibre (>30 g/day) diet (HPHFib) (n = 47) for 10 weeks. Advice regarding strict adherence to energy intake goals was not given. Insulin sensitivity and secretion was assessed by a novel method—the Dynamic Insulin Sensitivity and Secretion Test (DISST). Although there were significant improvements in body composition and most cardiometabolic risk factors on HPHFib, insulin sensitivity was reduced by 19.3% (95% CI: 31.8%, 4.5%; p = 0.013) in comparison with StdD. We conclude that the reduction in insulin sensitivity after a diet relatively high in both protein and fibre, despite cardiometabolic improvements, suggests insulin sensitivity may reflect metabolic adaptations to dietary composition for maintenance of glucose homeostasis, rather than impaired metabolism.

History

Preferred citation

Te Morenga, L., Docherty, P., Williams, S. & Mann, J. (2017). The effect of a diet moderately high in protein and fiber on insulin sensitivity measured using the dynamic insulin sensitivity and secretion test (DISST). Nutrients, 9(12), 1291-1291. https://doi.org/10.3390/nu9121291

Journal title

Nutrients

Volume

9

Issue

12

Publication date

01/12/2017

Pagination

1291-1291

Publisher

MDPI AG

Publication status

Published

Online publication date

27/11/2017

ISSN

2072-6643

eISSN

2072-6643

Article number

ARTN 1291

Language

en

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