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Fasting as an intervention to alter the impact of simulated night-shift work on glucose metabolism in healthy adults: a cluster randomised controlled trial

Aims/hypothesis Night-shift work causes circadian misalignment and impairs glucose metabolism. We hypothesise that food intake during night shifts may contribute to this phenomenon. Methods This open-label, multi-arm, single-site, parallel-group controlled trial involved a 6 day stay at the Universi...

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Published in:Diabetologia 2025-01, Vol.68 (1), p.203-216
Main Authors: Centofanti, Stephanie, Heilbronn, Leonie K., Wittert, Gary, Dorrian, Jillian, Coates, Alison M., Kennaway, David, Gupta, Charlotte, Stepien, Jacqueline M., Catcheside, Peter, Yates, Crystal, Grosser, Linda, Matthews, Raymond W., Banks, Siobhan
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container_title Diabetologia
container_volume 68
creator Centofanti, Stephanie
Heilbronn, Leonie K.
Wittert, Gary
Dorrian, Jillian
Coates, Alison M.
Kennaway, David
Gupta, Charlotte
Stepien, Jacqueline M.
Catcheside, Peter
Yates, Crystal
Grosser, Linda
Matthews, Raymond W.
Banks, Siobhan
description Aims/hypothesis Night-shift work causes circadian misalignment and impairs glucose metabolism. We hypothesise that food intake during night shifts may contribute to this phenomenon. Methods This open-label, multi-arm, single-site, parallel-group controlled trial involved a 6 day stay at the University of South Australia’s sleep laboratory (Adelaide, SA, Australia). Healthy, non-shift-working adults without obesity ( N =55; age 24.5 ± 4.8 years; BMI 24.8 ± 2.8 kg/m 2 ) were assigned to the next available run date and cluster randomised (1:1:1) to fasting-at-night ( N =20), snack-at-night ( N =17), or meal-at-night ( N =18) conditions. One participant withdrew from each group, prior to starting the study. Due to study design, neither participants nor people collecting their measurements could be blinded. Statistical and laboratory staff were concealed to study allocation. Participants were fed at calculated energy balance, with the macronutrient composition of meals being similar across conditions. The primary outcomes were a linear mixed-effects model of glucose, insulin and NEFA AUC in response to a 75 g OGTT that was conducted prior to and after 4 consecutive nights of shift work plus 1 night of recovery sleep. Insulin sensitivity, insulinogenic and disposition indexes were also calculated. Results Night-shift work impaired insulin sensitivity, as measured by insulin AUC ( p =0.035) and the insulin sensitivity index ( p =0.016) across all conditions. Insulin secretion, as measured by the insulinogenic index, was increased in the fasting-at-night condition only ( p =0.030), resulting in a day×condition interaction in glucose AUC ( p
doi_str_mv 10.1007/s00125-024-06279-1
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We hypothesise that food intake during night shifts may contribute to this phenomenon. Methods This open-label, multi-arm, single-site, parallel-group controlled trial involved a 6 day stay at the University of South Australia’s sleep laboratory (Adelaide, SA, Australia). Healthy, non-shift-working adults without obesity ( N =55; age 24.5 ± 4.8 years; BMI 24.8 ± 2.8 kg/m 2 ) were assigned to the next available run date and cluster randomised (1:1:1) to fasting-at-night ( N =20), snack-at-night ( N =17), or meal-at-night ( N =18) conditions. One participant withdrew from each group, prior to starting the study. Due to study design, neither participants nor people collecting their measurements could be blinded. Statistical and laboratory staff were concealed to study allocation. Participants were fed at calculated energy balance, with the macronutrient composition of meals being similar across conditions. The primary outcomes were a linear mixed-effects model of glucose, insulin and NEFA AUC in response to a 75 g OGTT that was conducted prior to and after 4 consecutive nights of shift work plus 1 night of recovery sleep. Insulin sensitivity, insulinogenic and disposition indexes were also calculated. Results Night-shift work impaired insulin sensitivity, as measured by insulin AUC ( p =0.035) and the insulin sensitivity index ( p =0.016) across all conditions. Insulin secretion, as measured by the insulinogenic index, was increased in the fasting-at-night condition only ( p =0.030), resulting in a day×condition interaction in glucose AUC ( p &lt;0.001) such that glucose tolerance was impaired in the meal-at night (+2.00 [95% CI 1.45, 2.56], p &lt;0.001) and snack at-night (+0.96 [0.36, 1.56], p =0.022) conditions vs the fasting-at-night (+0.34 [–0.21, 0.89]) condition. A day×condition interaction was also observed in NEFA AUC ( p &lt;0.001), being higher in the meal-at-night (+0.07 [0.03, 0.10]. p =0.001) and snack-at-night (0.01 [–0.03, 0.05], p =0.045) conditions vs the fasting-at-night condition (–0.02 [–0.06, 0.01]). No adverse events occurred. Conclusions/interpretation The timing of food intake has a critical effect on glucose metabolism during simulated night-shift work, which was readily amendable to a meal re-timing intervention. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12616001556437 Funding This work was funded by the National Health and Medical Research Council (NHMRC), APP1099077. Graphical Abstract</description><identifier>ISSN: 0012-186X</identifier><identifier>ISSN: 1432-0428</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-024-06279-1</identifier><identifier>PMID: 39422718</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Adults ; Blood Glucose - metabolism ; Circadian Rhythm - physiology ; Circadian rhythms ; Clinical outcomes ; Clinical trials ; Energy balance ; Fasting ; Fasting - physiology ; Female ; Food intake ; Glucose ; Glucose metabolism ; Glucose tolerance ; Glucose Tolerance Test ; Human Physiology ; Humans ; Insulin ; Insulin - blood ; Insulin - metabolism ; Insulin Resistance - physiology ; Insulin secretion ; Internal Medicine ; Intervention ; Male ; Medical research ; Medicine ; Medicine &amp; Public Health ; Metabolic Diseases ; Metabolism ; Obesity ; Shift work ; Shift Work Schedule ; Sleep ; Young Adult</subject><ispartof>Diabetologia, 2025-01, Vol.68 (1), p.203-216</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>Copyright Springer Nature B.V. Jan 2025</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c356t-4745b69684d8b61408796211a6bd7683fe2aa4c7f27c17c49f19cec9cce36b063</cites><orcidid>0000-0002-6485-1643 ; 0000-0002-7489-0929 ; 0000-0003-2106-7303</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39422718$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Centofanti, Stephanie</creatorcontrib><creatorcontrib>Heilbronn, Leonie K.</creatorcontrib><creatorcontrib>Wittert, Gary</creatorcontrib><creatorcontrib>Dorrian, Jillian</creatorcontrib><creatorcontrib>Coates, Alison M.</creatorcontrib><creatorcontrib>Kennaway, David</creatorcontrib><creatorcontrib>Gupta, Charlotte</creatorcontrib><creatorcontrib>Stepien, Jacqueline M.</creatorcontrib><creatorcontrib>Catcheside, Peter</creatorcontrib><creatorcontrib>Yates, Crystal</creatorcontrib><creatorcontrib>Grosser, Linda</creatorcontrib><creatorcontrib>Matthews, Raymond W.</creatorcontrib><creatorcontrib>Banks, Siobhan</creatorcontrib><title>Fasting as an intervention to alter the impact of simulated night-shift work on glucose metabolism in healthy adults: a cluster randomised controlled trial</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><addtitle>Diabetologia</addtitle><description>Aims/hypothesis Night-shift work causes circadian misalignment and impairs glucose metabolism. We hypothesise that food intake during night shifts may contribute to this phenomenon. Methods This open-label, multi-arm, single-site, parallel-group controlled trial involved a 6 day stay at the University of South Australia’s sleep laboratory (Adelaide, SA, Australia). Healthy, non-shift-working adults without obesity ( N =55; age 24.5 ± 4.8 years; BMI 24.8 ± 2.8 kg/m 2 ) were assigned to the next available run date and cluster randomised (1:1:1) to fasting-at-night ( N =20), snack-at-night ( N =17), or meal-at-night ( N =18) conditions. One participant withdrew from each group, prior to starting the study. Due to study design, neither participants nor people collecting their measurements could be blinded. Statistical and laboratory staff were concealed to study allocation. Participants were fed at calculated energy balance, with the macronutrient composition of meals being similar across conditions. The primary outcomes were a linear mixed-effects model of glucose, insulin and NEFA AUC in response to a 75 g OGTT that was conducted prior to and after 4 consecutive nights of shift work plus 1 night of recovery sleep. Insulin sensitivity, insulinogenic and disposition indexes were also calculated. Results Night-shift work impaired insulin sensitivity, as measured by insulin AUC ( p =0.035) and the insulin sensitivity index ( p =0.016) across all conditions. Insulin secretion, as measured by the insulinogenic index, was increased in the fasting-at-night condition only ( p =0.030), resulting in a day×condition interaction in glucose AUC ( p &lt;0.001) such that glucose tolerance was impaired in the meal-at night (+2.00 [95% CI 1.45, 2.56], p &lt;0.001) and snack at-night (+0.96 [0.36, 1.56], p =0.022) conditions vs the fasting-at-night (+0.34 [–0.21, 0.89]) condition. A day×condition interaction was also observed in NEFA AUC ( p &lt;0.001), being higher in the meal-at-night (+0.07 [0.03, 0.10]. p =0.001) and snack-at-night (0.01 [–0.03, 0.05], p =0.045) conditions vs the fasting-at-night condition (–0.02 [–0.06, 0.01]). No adverse events occurred. Conclusions/interpretation The timing of food intake has a critical effect on glucose metabolism during simulated night-shift work, which was readily amendable to a meal re-timing intervention. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12616001556437 Funding This work was funded by the National Health and Medical Research Council (NHMRC), APP1099077. 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We hypothesise that food intake during night shifts may contribute to this phenomenon. Methods This open-label, multi-arm, single-site, parallel-group controlled trial involved a 6 day stay at the University of South Australia’s sleep laboratory (Adelaide, SA, Australia). Healthy, non-shift-working adults without obesity ( N =55; age 24.5 ± 4.8 years; BMI 24.8 ± 2.8 kg/m 2 ) were assigned to the next available run date and cluster randomised (1:1:1) to fasting-at-night ( N =20), snack-at-night ( N =17), or meal-at-night ( N =18) conditions. One participant withdrew from each group, prior to starting the study. Due to study design, neither participants nor people collecting their measurements could be blinded. Statistical and laboratory staff were concealed to study allocation. Participants were fed at calculated energy balance, with the macronutrient composition of meals being similar across conditions. The primary outcomes were a linear mixed-effects model of glucose, insulin and NEFA AUC in response to a 75 g OGTT that was conducted prior to and after 4 consecutive nights of shift work plus 1 night of recovery sleep. Insulin sensitivity, insulinogenic and disposition indexes were also calculated. Results Night-shift work impaired insulin sensitivity, as measured by insulin AUC ( p =0.035) and the insulin sensitivity index ( p =0.016) across all conditions. Insulin secretion, as measured by the insulinogenic index, was increased in the fasting-at-night condition only ( p =0.030), resulting in a day×condition interaction in glucose AUC ( p &lt;0.001) such that glucose tolerance was impaired in the meal-at night (+2.00 [95% CI 1.45, 2.56], p &lt;0.001) and snack at-night (+0.96 [0.36, 1.56], p =0.022) conditions vs the fasting-at-night (+0.34 [–0.21, 0.89]) condition. A day×condition interaction was also observed in NEFA AUC ( p &lt;0.001), being higher in the meal-at-night (+0.07 [0.03, 0.10]. p =0.001) and snack-at-night (0.01 [–0.03, 0.05], p =0.045) conditions vs the fasting-at-night condition (–0.02 [–0.06, 0.01]). No adverse events occurred. Conclusions/interpretation The timing of food intake has a critical effect on glucose metabolism during simulated night-shift work, which was readily amendable to a meal re-timing intervention. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12616001556437 Funding This work was funded by the National Health and Medical Research Council (NHMRC), APP1099077. 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subjects Adult
Adults
Blood Glucose - metabolism
Circadian Rhythm - physiology
Circadian rhythms
Clinical outcomes
Clinical trials
Energy balance
Fasting
Fasting - physiology
Female
Food intake
Glucose
Glucose metabolism
Glucose tolerance
Glucose Tolerance Test
Human Physiology
Humans
Insulin
Insulin - blood
Insulin - metabolism
Insulin Resistance - physiology
Insulin secretion
Internal Medicine
Intervention
Male
Medical research
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolism
Obesity
Shift work
Shift Work Schedule
Sleep
Young Adult
title Fasting as an intervention to alter the impact of simulated night-shift work on glucose metabolism in healthy adults: a cluster randomised controlled trial
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