The interrelationship between sleep, diet, and glucose metabolism

St‐Onge, Marie‐Pierre; Cherta-Murillo, Anna; Darimont, Christian; Mantantzis, Konstantinos; Martin, François‐Pierre J.; Owen, Lauren

doi:10.1016/j.smrv.2023.101788

Cited by 19 publications

(8 citation statements)

References 102 publications

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“…In our study, we found that the preoperative blood glucose level is positively related to the preoperative FOA. Our result was consistent with previous studies, which have confirmed that blood glucose levels are to some extent related to the stress response of the body, and sleep fragmentation could increase stress and damage glucose metabolism ( 41 , 42 ). The higher the number of preoperative awakenings, the more stressful the patient is, which not only increases the risk of surgery but also poses a challenge for post-operative recovery, especially wound healing.…”

Section: Discussionsupporting

confidence: 93%

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Liu,

Wu,

Zhang

et al. 2023

Front. Neurol.

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ObjectiveAlthough the quality of perioperative sleep is gaining increasing attention in clinical recovery, its impact role remains unknown and may deserve further exploration. This study aimed to investigate the associations between perioperative sleep patterns and clinical outcomes among patients with intracranial tumors.MethodsA correlation study was conducted in patients with intracranial tumors. Perioperative sleep patterns were assessed using a dedicated sleep monitor for 6 consecutive days. Clinical outcomes were gained through medical records and follow-up. Spearman's correlation coefficient and multiple linear regression analysis were applied to evaluate the associations between perioperative sleep patterns and clinical outcomes.ResultsOf 110 patients, 48 (43.6%) were men, with a median age of 57 years. A total of 618 days of data on perioperative sleep patterns were collected and analyzed. Multiple linear regression models revealed that the preoperative blood glucose was positively related to the preoperative frequency of awakenings (β = 0.125; 95% CI = 0.029–0.221; P = 0.011). The level of post-operative nausea and vomiting was negatively related to perioperative deep sleep time (β = −0.015; 95% CI = −0.027–−0.003; P = 0.015). The level of anxiety and depression was negatively related to perioperative deep sleep time, respectively (β = −0.048; 95% CI = −0.089–0.008; P = 0.020, β = −0.041; 95% CI = −0.076–0.006; P = 0.021). The comprehensive complication index was positively related to the perioperative frequency of awakenings (β = 3.075; 95% CI = 1.080–5.070; P = 0.003). The post-operative length of stay was negatively related to perioperative deep sleep time (β = −0.067; 95% CI = −0.113–0.021; P = 0.005). The Pittsburgh Sleep Quality Index was positively related to perioperative sleep onset latency (β = 0.097; 95% CI = 0.044–0.150; P < 0.001) and negatively related to perioperative deep sleep time (β = −0.079; 95% CI = −0.122–0.035; P < 0.001).ConclusionPerioperative sleep patterns are associated with different clinical outcomes. Poor perioperative sleep quality, especially reduced deep sleep time, has a negative impact on clinical outcomes. Clinicians should, therefore, pay more attention to sleep quality and improve it during the perioperative period.Clinical trial registrationhttp://www.chictr.org.cn, identifier: ChiCTR2200059425.

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Section: Discussionsupporting

confidence: 93%

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Liu,

Wu,

Zhang

et al. 2023

Front. Neurol.

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“…In another study, Kojima et al [ 54 ] reported that 3 consecutive days of endurance training under LEA (15 kcal·kg FFM −1 ·day −1 ) decreased fasting blood glucose and muscle glycogen content in seven well-trained male (mean age = 19.9 ± 1.1 yo) long-distance runners. In this context, the interrelationship between sleep and glucose metabolism has been discussed in a recent review [ 56 ], in which the authors highlight (i) a possible alteration to the sleep architecture depending on the timing of carbohydrate ingestion and (ii) the need for strict regulation of peripheral glucose since the brain is particularly vulnerable to disruptions in energy supply. Interestingly, it has been reported that a decrease in glucose levels triggers awakening during nighttime sleep in healthy subjects [ 57 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

Association between Low Energy Availability (LEA) and Impaired Sleep Quality in Young Rugby Players

Saidi,

Souabni,

Del Sordo

et al. 2024

Nutrients

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Low energy availability (LEA) has been associated with several physiological consequences, but its impact on sleep has not been sufficiently investigated, especially in the context of young athletes. This study examined the potential association between energy availability (EA) status and objective sleep quality in 42 male rugby players (mean age: 16.2 ± 0.8 years) during a 7-day follow-up with fixed sleep schedules in the midst of an intensive training phase. Participants’ energy intake was weighed and recorded. Exercise expenditure was estimated using accelerometry. Portable polysomnography devices captured sleep on the last night of the follow-up. Mean EA was 29.3 ± 9.14 kcal·kg FFM−1·day−1, with 47.6% of athletes presenting LEA, 35.7% Reduced Energy Availability (REA), and 16.7% Optimal Energy Availability (OEA). Lower sleep efficiency (SE) and N3 stage proportion, along with higher wake after sleep onset (WASO), were found in participants with LEA compared to those with OEA (p = 0.04, p = 0.03 and p = 0.005, respectively, with large effect sizes). Segmented regression models of the EA-sleep outcomes (SE, sleep onset latency [SOL]), WASO and N3) relationships displayed two separate linear regions and produced a best fit with a breakpoint between 21–33 kcal·kg FFM−1·day−1. Below these thresholds, sleep quality declines considerably. It is imperative for athletic administrators, nutritionists, and coaches to conscientiously consider the potential impact of LEA on young athletes’ sleep, especially during periods of heavy training.

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“…This area of research is particularly challenging due to the tendency of short sleep to promote unhealthy food choices. [11][12][13][14] Previous research provides substantial evidence that short sleep duration adversely affects glucose metabolism. 15 In contrast, current literature does not offer strong evidence that extended sleep in individuals with normal sleep patterns significantly disrupts glucose regulation.…”

Section: Introductionmentioning

confidence: 99%

“…While the effectiveness of a healthy dietary pattern in lowering the risk of T2D is well-established, the extent to which adherence to such a diet can mitigate the elevated risk of T2D associated with chronic short sleep duration is less clear. This area of research is particularly challenging due to the tendency of short sleep to promote unhealthy food choices …”

Section: Introductionmentioning

confidence: 99%

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Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

Nôga,

Meth,

Pacheco

et al. 2024

JAMA Netw Open

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ImportanceUnderstanding the interplay between sleep duration, dietary habits, and the risk of developing type 2 diabetes (T2D) is crucial for public health and diabetes prevention strategies.ObjectiveTo investigate the associations of type of diet and duration of sleep with the development of T2D.Design, Setting, and ParticipantsData derived from the UK Biobank baseline investigation (2006-2010) were analyzed for this cohort study between May 1 and September 30, 2023. The association between sleep duration and healthy dietary patterns with the risk of T2D was investigated during a median (IQR) follow-up of 12.5 (11.8-13.2) years (end of follow-up, September 30, 2021).ExposureFor the analysis, 247 867 participants were categorized into 4 sleep duration groups: normal (7-8 hours per day), mild short (6 hours per day), moderate short (5 hours per day), and extreme short (3-4 hours per day). Their dietary habits were evaluated based on population-specific consumption of red meat, processed meat, fruits, vegetables, and fish, resulting in a healthy diet score ranging from 0 (unhealthiest) to 5 (healthiest).Main Outcomes and MeasuresCox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% CIs for the development of T2D across various sleep duration groups and healthy diet scores.ResultsThe cohort comprised 247 867 participants with a mean [SD] age of 55.9 [8.1] years, of whom 52.3% were female. During the follow-up, 3.2% of participants were diagnosed with T2D based on hospital registry data. Cox regression analysis, adjusted for confounding variables, indicated a significant increase in the risk of T2D among participants with 5 hours or less of daily sleep. Individuals sleeping 5 hours per day exhibited a 1.16 adjusted HR (95% CI, 1.05-1.28), and individuals sleeping 3 to 4 hours per day exhibited a 1.41 adjusted HR (95% CI, 1.19-1.68) compared with individuals with normal sleep duration. Furthermore, individuals with the healthiest dietary patterns had a reduced risk of T2D (HR, 0.75 [95% CI, 0.63-0.88]). The association between short sleep duration and increased risk of T2D persisted even for individuals following a healthy diet, but there was no multiplicative interaction between sleep duration and healthy diet score.Conclusions and RelevanceIn this cohort study involving UK residents, habitual short sleep duration was associated with increased risk of developing T2D. This association persisted even among participants who maintained a healthy diet. To validate these findings, further longitudinal studies are needed, incorporating repeated measures of sleep (including objective assessments) and dietary habits.

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The interrelationship between sleep, diet, and glucose metabolism

Cited by 19 publications

References 102 publications

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Association between Low Energy Availability (LEA) and Impaired Sleep Quality in Young Rugby Players

Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

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