Optimisation and validation of a nutritional intervention to enhance sleep quality and quantity

Shona L. Halson; Gregory Shaw; Nathan Versey; Dean J. Miller; Charli Sargent; Gregory D. Roach; Lara Nyman; James M. Carter; Keith Baar

doi:10.3390/nu12092579

Optimisation and validation of a nutritional intervention to enhance sleep quality and quantity

Shona L. Halson, Gregory Shaw, Nathan Versey, Dean J. Miller, Charli Sargent, Gregory D. Roach, Lara Nyman, James M. Carter, Keith Baar

Physiology and Membrane Biology

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Disturbed sleep may negatively influence physical health, cognitive performance, metabolism, and general wellbeing. Nutritional interventions represent a potential non-pharmacological means to increase sleep quality and quantity. Objective: (1) Identify an optimal suite of nutritional ingredients and (2) validate the effects of this suite utilising polysomnography, and cognitive and balance tests. Methods: The optimal and least optimal combinations of six ingredients were identified utilising 55 male participants and a Box–Behnken predictive model. To validate the model, 18 healthy, male, normal sleepers underwent three trials in a randomised, counterbalanced design: (1) optimal drink, (2) least optimal drink, or (3) placebo were provided before bed in a double-blinded manner. Polysomnography was utilised to measure sleep architecture. Cognitive performance, postural sway, and subjective sleep quality, were assessed 30 min after waking. Results: The optimal drink resulted in a significantly shorter sleep onset latency (9.9 ± 12.3 min) when compared to both the least optimal drink (26.1 ± 37.4 min) and the placebo drink (19.6 ± 32.0 min). No other measures of sleep, cognitive performance, postural sway, and subjective sleep quality were different between trials. Conclusion: A combination of ingredients, optimised to enhance sleep, significantly reduced sleep onset latency. No detrimental effects on sleep architecture, subjective sleep quality or next day performance were observed.

Original language	English (US)
Article number	2579
Pages (from-to)	1-13
Number of pages	13
Journal	Nutrients
Volume	12
Issue number	9
DOIs	https://doi.org/10.3390/nu12092579
State	Published - Sep 2020

Keywords

Nutrition
Polysomnography
Sleep onset latency

ASJC Scopus subject areas

Food Science
Nutrition and Dietetics

Access to Document

10.3390/nu12092579

Fingerprint Dive into the research topics of 'Optimisation and validation of a nutritional intervention to enhance sleep quality and quantity'. Together they form a unique fingerprint.

Cite this

@article{4e7784e750b548059b6be122faa8d84d,

title = "Optimisation and validation of a nutritional intervention to enhance sleep quality and quantity",

abstract = "Background: Disturbed sleep may negatively influence physical health, cognitive performance, metabolism, and general wellbeing. Nutritional interventions represent a potential non-pharmacological means to increase sleep quality and quantity. Objective: (1) Identify an optimal suite of nutritional ingredients and (2) validate the effects of this suite utilising polysomnography, and cognitive and balance tests. Methods: The optimal and least optimal combinations of six ingredients were identified utilising 55 male participants and a Box–Behnken predictive model. To validate the model, 18 healthy, male, normal sleepers underwent three trials in a randomised, counterbalanced design: (1) optimal drink, (2) least optimal drink, or (3) placebo were provided before bed in a double-blinded manner. Polysomnography was utilised to measure sleep architecture. Cognitive performance, postural sway, and subjective sleep quality, were assessed 30 min after waking. Results: The optimal drink resulted in a significantly shorter sleep onset latency (9.9 ± 12.3 min) when compared to both the least optimal drink (26.1 ± 37.4 min) and the placebo drink (19.6 ± 32.0 min). No other measures of sleep, cognitive performance, postural sway, and subjective sleep quality were different between trials. Conclusion: A combination of ingredients, optimised to enhance sleep, significantly reduced sleep onset latency. No detrimental effects on sleep architecture, subjective sleep quality or next day performance were observed.",

keywords = "Nutrition, Polysomnography, Sleep onset latency",

author = "Halson, {Shona L.} and Gregory Shaw and Nathan Versey and Miller, {Dean J.} and Charli Sargent and Roach, {Gregory D.} and Lara Nyman and Carter, {James M.} and Keith Baar",

note = "Funding Information: Funding: This research was funded by the Gatorade Sports Science Institute, a division of PepsiCo, Inc. Funding Information: Conflicts of Interest: Financial support for this study was provided by the Gatorade Sports Science Institute, a division of PepsiCo, Inc. Authors Lara Nyman and James Carter are employed by PepsiCo, Inc. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of PepsiCo, Inc.",

year = "2020",

month = sep,

doi = "10.3390/nu12092579",

language = "English (US)",

volume = "12",

pages = "1--13",

journal = "Nutrients",

issn = "2072-6643",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "9",

}

TY - JOUR

T1 - Optimisation and validation of a nutritional intervention to enhance sleep quality and quantity

AU - Halson, Shona L.

AU - Shaw, Gregory

AU - Versey, Nathan

AU - Miller, Dean J.

AU - Sargent, Charli

AU - Roach, Gregory D.

AU - Nyman, Lara

AU - Carter, James M.

AU - Baar, Keith

N1 - Funding Information: Funding: This research was funded by the Gatorade Sports Science Institute, a division of PepsiCo, Inc. Funding Information: Conflicts of Interest: Financial support for this study was provided by the Gatorade Sports Science Institute, a division of PepsiCo, Inc. Authors Lara Nyman and James Carter are employed by PepsiCo, Inc. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of PepsiCo, Inc.

PY - 2020/9

Y1 - 2020/9

N2 - Background: Disturbed sleep may negatively influence physical health, cognitive performance, metabolism, and general wellbeing. Nutritional interventions represent a potential non-pharmacological means to increase sleep quality and quantity. Objective: (1) Identify an optimal suite of nutritional ingredients and (2) validate the effects of this suite utilising polysomnography, and cognitive and balance tests. Methods: The optimal and least optimal combinations of six ingredients were identified utilising 55 male participants and a Box–Behnken predictive model. To validate the model, 18 healthy, male, normal sleepers underwent three trials in a randomised, counterbalanced design: (1) optimal drink, (2) least optimal drink, or (3) placebo were provided before bed in a double-blinded manner. Polysomnography was utilised to measure sleep architecture. Cognitive performance, postural sway, and subjective sleep quality, were assessed 30 min after waking. Results: The optimal drink resulted in a significantly shorter sleep onset latency (9.9 ± 12.3 min) when compared to both the least optimal drink (26.1 ± 37.4 min) and the placebo drink (19.6 ± 32.0 min). No other measures of sleep, cognitive performance, postural sway, and subjective sleep quality were different between trials. Conclusion: A combination of ingredients, optimised to enhance sleep, significantly reduced sleep onset latency. No detrimental effects on sleep architecture, subjective sleep quality or next day performance were observed.

AB - Background: Disturbed sleep may negatively influence physical health, cognitive performance, metabolism, and general wellbeing. Nutritional interventions represent a potential non-pharmacological means to increase sleep quality and quantity. Objective: (1) Identify an optimal suite of nutritional ingredients and (2) validate the effects of this suite utilising polysomnography, and cognitive and balance tests. Methods: The optimal and least optimal combinations of six ingredients were identified utilising 55 male participants and a Box–Behnken predictive model. To validate the model, 18 healthy, male, normal sleepers underwent three trials in a randomised, counterbalanced design: (1) optimal drink, (2) least optimal drink, or (3) placebo were provided before bed in a double-blinded manner. Polysomnography was utilised to measure sleep architecture. Cognitive performance, postural sway, and subjective sleep quality, were assessed 30 min after waking. Results: The optimal drink resulted in a significantly shorter sleep onset latency (9.9 ± 12.3 min) when compared to both the least optimal drink (26.1 ± 37.4 min) and the placebo drink (19.6 ± 32.0 min). No other measures of sleep, cognitive performance, postural sway, and subjective sleep quality were different between trials. Conclusion: A combination of ingredients, optimised to enhance sleep, significantly reduced sleep onset latency. No detrimental effects on sleep architecture, subjective sleep quality or next day performance were observed.

KW - Nutrition

KW - Polysomnography

KW - Sleep onset latency

UR - http://www.scopus.com/inward/record.url?scp=85090018407&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85090018407&partnerID=8YFLogxK

U2 - 10.3390/nu12092579

DO - 10.3390/nu12092579

M3 - Article

C2 - 32854375

AN - SCOPUS:85090018407

VL - 12

SP - 1

EP - 13

JO - Nutrients

JF - Nutrients

SN - 2072-6643

IS - 9

M1 - 2579

ER -