The effect of 4-h versus 6-h time restricted feeding on sleep quality, duration, insomnia severity and obstructive sleep apnea in adults with obesity

2021 ◽  
pp. 026010602110023
Author(s):  
Sofia Cienfuegos ◽  
Kelsey Gabel ◽  
Faiza Kalam ◽  
Mark Ezpeleta ◽  
Vicky Pavlou ◽  
...  

Background: Time restricted feeding (TRF) involves deliberately restricting the times during which energy is ingested. Preliminary findings suggest that 8–10-h TRF improves sleep. However, the effects of shorter TRF windows (4–6 h) on sleep, remain unknown. Aims: This study compared the effects of 4-h versus 6-h TRF on sleep quality, duration, insomnia severity and the risk of obstructive sleep apnea. Methods: Adults with obesity ( n = 49) were randomized into one of three groups: 4-h TRF (eating only between 3 and 7 p.m.), 6-h TRF (eating only between 1 and 7 p.m.), or a control group (no meal timing restrictions) for 8 weeks. Results: After 8 weeks, body weight decreased ( p < 0.001) similarly by 4-h TRF (–3.9 ± 0.4 kg) and 6-h TRF (–3.4 ± 0.4 kg), versus controls. Sleep quality, measured by the Pittsburgh Sleep Quality Index (PSQI), did not change by 4-h TRF (baseline: 5.9 ± 0.7; week 8: 4.8 ± 0.6) or 6-h TRF (baseline: 6.4 ± 0.8; week 8: 5.3 ± 0.9), versus controls. Wake time, bedtime, sleep duration and sleep onset latency also remained unchanged. Insomnia severity did not change by 4-h TRF (baseline: 4.4 ± 1.0; week 8: 4.7 ± 0.9) or 6-h TRF (baseline: 8.3 ± 1.2; week 8: 5.5 ± 1.1), versus controls. Percent of participants reporting obstructive sleep apnea symptoms did not change by 4-h TRF (baseline: 44%; week 8: 25%) or 6-h TRF (baseline: 47%; week 8: 20%), versus controls. Conclusion: These findings suggest that 4- and 6-h TRF have no effect on sleep quality, duration, insomnia severity, or the risk of obstructive sleep apnea.

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 211
Author(s):  
Faiza Kalam ◽  
Kelsey Gabel ◽  
Sofia Cienfuegos ◽  
Mark Ezpeleta ◽  
Eric Wiseman ◽  
...  

Background: Alternate day fasting combined with a low carbohydrate diet (ADF-LC) is an effective weight loss regimen. Whether the weight loss induced by ADF-LC can improve sleep, remains unknown. Objective: This study examined the effect an ADF-LC diet on sleep quality, duration, insomnia severity and the risk of obstructive sleep apnea. Methods: Adults with obesity (n = 31) participated in ADF (600 kcal “fast day”; ad libitum intake “feast day”) with a low-carbohydrate diet (30% carbohydrates, 35% protein, and 35% fat). The 6-month trial consisted of a 3-month weight loss period followed by a 3-month weight maintenance period. Results: Reductions in body weight (−5 ± 1 kg, p < 0.001) and fat mass (−4 ± 1 kg, p < 0.01) were noted during the weight loss period, and these reductions were sustained during the weight maintenance period. Lean mass and visceral fat remained unchanged. The Pittsburgh Sleep Quality Index (PSQI) score indicated poor sleep quality at baseline (6.4 ± 0.7) with no change by month 3 or 6, versus baseline. ISI score indicated subthreshold insomnia at baseline (8.5 ± 1.0), with no change by month 3 or 6, versus baseline. The percent of subjects with high risk of obstructive sleep apnea at baseline was 45%, with no change by month 3 or 6. Wake time, bedtime, and sleep duration remained unchanged. Conclusion: The ADF-LC diet does not impact sleep quality, duration, insomnia severity or the risk of obstructive sleep apnea in adults with obesity.


SLEEP ◽  
2020 ◽  
Author(s):  
Cathy A Alessi ◽  
Constance H Fung ◽  
Joseph M Dzierzewski ◽  
Lavinia Fiorentino ◽  
Carl Stepnowsky ◽  
...  

Abstract Study Objectives Cognitive behavioral therapy for insomnia (CBTI) for comorbid insomnia and obstructive sleep apnea (OSA) has had mixed results. We integrated CBTI with a positive airway pressure (PAP) adherence program and tested effects on sleep and PAP use. Methods 125 veterans (mean age 63.2, 96% men, 39% non-Hispanic white, 26% black/African American, 18% Hispanic/Latino) with comorbid insomnia and newly-diagnosed OSA (apnea-hypopnea index ≥ 15) were randomized to 5-weekly sessions integrating CBTI with a PAP adherence program provided by a “sleep coach” (with behavioral sleep medicine supervision), or 5-weekly sleep education control sessions. Participants and assessment staff were blinded to group assignment. Outcomes (baseline, 3 and 6 months) included Pittsburgh Sleep Quality Index (PSQI), 7-day sleep diary (sleep onset latency [SOL-D], wake after sleep onset [WASO-D], sleep efficiency [SE-D]), 7-day actigraphy (SE-A), and objective PAP use (hours/night and nights ≥ 4 h). Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), and Functional Outcomes of Sleep Questionnaire-10 (FOSQ-10) were also collected. Results Compared to controls, intervention participants showed greater improvement (baseline to 3 and 6 months, respectively) in PSQI (−3.2 and −1.7), SOL-D (−16.2 and −15.5 minutes), SE-D (10.5% and 8.5%), SE-A (4.4% and 2.6%) and more 90-day PAP use (1.3 and 0.9 more hours/night, 17.4 and 11.3 more nights PAP ≥ 4 h). 90-day PAP use at 3 months was 3.2 and 1.9 h/night in intervention versus controls. Intervention participants also had greater improvements in ISI, ESS, and FOSQ-10 (all p &lt; 0.05). Conclusions An intervention integrating CBTI with a PAP adherence program delivered by a supervised sleep coach improved sleep and PAP use in adults with comorbid insomnia and OSA. Trial Registration ClinicalTrials.gov Study name: Novel Treatment of Comorbid Insomnia and Sleep Apnea in Older Veterans URL: https://clinicaltrials.gov/ct2/results?cond=&term=NCT02027558&cntry=&state=&city=&dist= Registration: NCT02027558


Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3489
Author(s):  
Mara McStay ◽  
Kelsey Gabel ◽  
Sofia Cienfuegos ◽  
Mark Ezpeleta ◽  
Shuhao Lin ◽  
...  

This review examines the effects of two popular intermittent fasting regimens on sleep in adults with overweight and obesity. Specifically, the effects of time restricted eating (TRE; eating all food within a 4–10 h window) and alternate day fasting (ADF; 600 kcal fast day alternated with ad libitum feast day) on sleep quality, sleep duration, sleep latency, sleep efficiency, insomnia severity, and risk of obstructive sleep apnea, will be summarized. The role of weight loss will also be discussed. Results from our review reveal that the majority of these trials produced weight loss in the range of 1–6% from baseline. Sleep quality and sleep duration remained unaltered with TRE and ADF, as assessed by the Pittsburgh Sleep Quality Index (PSQI). The effects of intermittent fasting on sleep latency and sleep efficiency are mixed, with one study showing worsening of these parameters, and others showing no effect. Insomnia severity and the risk of obstructive sleep apnea remained unchanged in the trials assessing these metrics. Taken together, these preliminary findings suggest that TRE and ADF produce mild to moderate weight loss (1–6%) but their effects on sleep remain unclear. Solid conclusions are difficult to establish since participants in the studies had healthy sleep durations and no clinical insomnia at baseline, leaving little room for improvement in these metrics. Moreover, none of the trials were adequately powered to detect statistically significant changes in any measure of sleep. Future well-powered trials, conducted in individuals with diagnosed sleep disturbances, will be necessary to elucidate the effect of these popular diets on sleep.


2019 ◽  
Vol 65 (3) ◽  
pp. 375-383 ◽  
Author(s):  
Helena Hachul ◽  
Daniel N. Polesel ◽  
Luciana Tock ◽  
Glaucia Carneiro ◽  
Andrea Z. Pereira ◽  
...  

SUMMARY OBJECTIVE: This study aims to evaluate the sleep of subjects with polycystic ovary syndrome (PCOS), with and without hyperandrogenism, in comparison with a healthy control group and examine the effects of hyperandrogenism and obesity on sleep parameters. METHODS: A total of 44 volunteers were recruited to participate in the study. Clinical, biochemical and polysomnographic parameters were used to diagnose PCOS and hyperandrogenism. The evaluation of sleep quality was made using validated questionnaires and polysomnography test. The frequency of obstructive sleep apnea was also compared between the groups. RESULTS: The study revealed that women with PCOS presented poorer subjective sleep quality, increased incidence of snoring and a higher risk of obstructive sleep apnea, based on the Berlin questionnaire. Also, after adjusting for body mass index, PCOS subjects had rapid eye movement (REM) time lower than those in the control group. PCOS women versus those without hyperandrogenism did not differ on any sleep measurement. Women with obstructive sleep apnea were only diagnosed in the PCOS group. CONCLUSIONS: Our results indicate that PCOS impairs subjective sleep quality, as well as objective sleep quality, due to a reduction in REM sleep stage time in women diagnosed with the syndrome. Obesity affected sleep-related parameters but hyperandrogenism had no effect. Only the PCOS group had obstructive sleep apnea diagnosis.


2019 ◽  
Vol 81 (3-4) ◽  
pp. 190-196
Author(s):  
Byung Joon Kim ◽  
Kang Min Park

Background: Both obstructive sleep apnea (OSA) and obesity are associated with poor sleep quality. However, there have been no studies investigating sleep quality in OSA patients with obesity. The aims of this study were to (1) evaluate the sleep quality in OSA patients with obesity and (2) identify the parameters most related to sleep quality in OSA patients with obesity. Methods: Of the patients with polysomnography (PSG), OSA patients with obesity (body mass index [BMI] ≥25) were enrolled and then divided into 2 groups based on the Pittsburg Sleep Questionnaire Index (PSQI): patients with good sleep quality (PSQI ≤5, good sleepers) and those with poor sleep quality (PSQI >5, poor sleepers). In addition, we enrolled OSA patients without obesity as a disease control group. Results: Eighty-two OSA patients with obesity met the inclusion criteria (28 were good sleepers, whereas 54 were poor sleepers). We found that the BMI of the poor sleepers was significantly higher than that of the good sleepers, whereas the N-stage sleep ratio of good sleepers was higher than that of poor sleepers. Logistic ­regression analysis also showed that a high BMI and low ­N-stage sleep ratio were independently associated with poor sleep quality. In addition, BMI and N-stage sleep ratio were significantly correlated with PSQI. However, in 56 OSA patients (n = 56) without obesity, there were no differences of demographic/clinical characteristics and PSG parameters between the good (n = 18) and poor sleepers (n = 38). Discussions: About two-thirds of OSA patients with obesity show poor sleep quality. The sleep quality of these patients was more affected by the severity of obesity, but not the severity of OSA. Thus, we recommend weight loss in OSA patients with obesity to improve sleep quality as well as the severity of OSA.


2021 ◽  
pp. 025371762110483
Author(s):  
Kaustav Kundu ◽  
Gaurav Sharma ◽  
Lokesh Saini ◽  
Ravi Gupta

Background: Sleep state misperception (SSM) is seen among patients with obstructive sleep apnea (OSA) as well as those having insomnia. Moreover, OSA and insomnia can also be comorbid. This study aims at finding the proportion of SSM and “Comorbid Insomnia with OSA” (COMISA) among patients of OSA and chronic insomnia. Macroachitecture of sleep was also compared across groups. Methods: This study utilized the retrospective laboratory and medical records of two groups of patients: chronic insomnia and OSA. Sleep disorders were diagnosed according to standard criteria. Daytime sleepiness was examined using the Epworth Sleepiness Scale. Diagnosis of SSM was based on the difference between subjective and objective sleep onset latency (Subjective SOL > 1.5 × Objective SOL). Results: Sixteen adult subjects were included in each group. Based on the difference between subjective and objective sleep onset latency, SSM was reported by 62.5% subjects of chronic insomnia and 56.25% subjects having OSA (OR = 1.29; 95% CI = 0.31–5.33; P = 0.79). The proportion of COMISA in subjects with chronic insomnia was 18% and among subjects with OSA, it was 43%. Effect size for the proportion was calculated as odds ratio (33.96; 95% CI = 7.48–154.01; P < 0.0002). Thus, the odds for COMISA were higher among subjects with OSA than those with chronic Insomnia. The three groups (OSA, COMISA and Chronic Insomnia) were comparable with regard to the macro-architecture of sleep. Conclusion: SSM is common among subjects with OSA and chronic insomnia. COMISA was commoner among patients with OSA compared to those with chronic insomnia. Macro-architecture of sleep is comparable among groups.


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A233-A233
Author(s):  
Boris Dubrovsky ◽  
Jeremy A Weingarten ◽  
John Cunningham ◽  
Jonathan Leung ◽  
Rieza Lopez

2021 ◽  
Vol 13 ◽  
Author(s):  
Gabriel Natan Pires ◽  
Isabela Antunes Ishikura ◽  
Sandra Doria Xavier ◽  
Caetano Petrella ◽  
Ronaldo Delmonte Piovezan ◽  
...  

Since the beginning of the COVID-19 pandemic, older adults have been found to be a highly vulnerable group, with a higher prevalence of severe cases and negative outcomes. Research has focused on the reasons why older adults are at greater risk; Sleep-related factors have been suggested as one possible explanation for this. An individual’s sleep pattern undergoes significant changes over the course of their life. In older adults a specific sleep profile can be observed, one characterized by advanced sleep timing, a morningness preference, longer sleep-onset latency, shorter overall sleep duration, increased sleep fragmentation, reduced slow-wave sleep and, increased wake time after sleep onset. Additionally, an increased prevalence of sleep disorders can be observed, such as obstructive sleep apnea and insomnia. Previous research has already linked sleep disorders (especially sleep apnea) with COVID-19, but few studies have focused specifically on the older population. We believe that the intrinsic sleep patterns of older adults, and the prevalence of sleep disorders in this population, may be important factors that could explain why they are at a greater risk of negative COVID-19 outcomes. In this review, we discuss the relationship between sleep and COVID-19 among older adults, focusing on three different aspects: (1) Sleep-related issues that might increase the likelihood of getting infected by SARS-COV-2; (2) Sleep disturbances that might increase the predisposition to worse COVID-19 prognosis and outcomes; and (3) COVID-19-related aspects affecting community-dwelling older adults, such as social isolation, quarantine, and home confinement, among others, that might impact sleep.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1220-1220
Author(s):  
Faiza Kalam

Abstract Objectives Alternate day fasting combined with a low carbohydrate diet (ADF-LC) is an effective weight loss regimen. Whether the weight loss induced by ADF-LC can improve sleep remains unknown. This study examined an ADF-LC diet's effect on sleep quality, duration, insomnia severity, and the risk of obstructive sleep apnea. Methods Adults with obesity (n = 31) participated in ADF (600 kcal “fast day”; ad libitum intake “feast day”) with a low-carbohydrate diet (30% carbohydrates, 35% protein, and 35% fat). The 6-month trial consisted of a 3-month weight-loss period followed by a 3-month weight maintenance period. Results Reductions in body weight (−5 ± 1 kg, P &lt; 0.001) and fat mass (−4 ± 1 kg, P &lt; 0.01) were noted during the weight-loss period, and these reductions were sustained during the weight maintenance period. Lean mass and visceral fat remained unchanged. The Pittsburgh Sleep Quality Index (PSQI) score indicated poor sleep quality at baseline (6.4 ± 0.7) with no change by month 3 or 6, versus baseline. ISI score indicated subthreshold insomnia at baseline (8.5 ± 1.0), with no change by month 3 or 6, versus baseline. The % of subjects with a high risk of obstructive sleep apnea was 45% at baseline, with no change by month 3 or 6. Wake time, bedtime, and sleep duration remained unchanged. Conclusions The ADF-LC diet does not impact sleep quality, duration, insomnia severity, or the risk of obstructive sleep apnea in adults with obesity. Funding Sources Nestle Health Sciences.


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