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Review

Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health

by
Réda Adafer
*,
Wassil Messaadi
,
Mériem Meddahi
,
Alexia Patey
,
Abdelmalik Haderbache
,
Sabine Bayen
* and
Nassir Messaadi
*
Department of General Medicine, Henri Warembourg Faculty of Medicine, University of Lille, 59000 Lille, France
*
Authors to whom correspondence should be addressed.
Nutrients 2020, 12(12), 3770; https://doi.org/10.3390/nu12123770
Submission received: 4 November 2020 / Revised: 4 December 2020 / Accepted: 6 December 2020 / Published: 8 December 2020
(This article belongs to the Section Clinical Nutrition)
Browse Figures
Review Reports Versions Notes

Abstract

:
Introduction: Recent observations have shown that lengthening the daily eating period may contribute to the onset of chronic diseases. Time-restricted eating (TRE) is a diet that especially limits this daily food window. It could represent a dietary approach that is likely to improve health markers. The aim of this study was to review how time-restricted eating affects human health. Method: Five general databases and six nutrition journals were screened to identify all studies published between January 2014 and September 2020 evaluating the effects of TRE on human populations. Results: Among 494 articles collected, 23 were finally included for analysis. The overall adherence rate to TRE was 80%, with a 20% unintentional reduction in caloric intake. TRE induced an average weight loss of 3% and a loss of fat mass. This fat loss was also observed without any caloric restriction. Interestingly, TRE produced beneficial metabolic effects independently of weight loss, suggesting an intrinsic effect based on the realignment of feeding and the circadian clock. Conclusions: TRE is a simple and well-tolerated diet that generates many beneficial health effects based on chrononutrition principles. More rigorous studies are needed, however, to confirm those effects, to understand their mechanisms and to assess their applicability to human health.

Graphical Abstract

1. Introduction

Eating behaviors are the most influential factor in the development of chronic pathologies [1,2]. The main food risk factors identified are the excessive consumption of salt, sugars, processed meats, soda drinks and an insufficient intake of fruits, vegetables, cereals and polyunsaturated fats [3,4].
Data on eating behaviors generally evaluate the qualitative and quantitative aspects of nutrition. However, little information exists on the temporal characteristics of food and their impact on the occurrence of diseases.
The daily feeding time is the period from the start of the first meal to the end of the last meal of the day. An American cohort of 15,000 adults estimated this feeding time to be 12 h for most individuals, and it even reached 15 h for more than half of them [5]. An Indian study found the same results and suggested that the lengthening of the daily feeding time may be a factor in the development of metabolic disorders [6].
Thus, recent observations have indicated that reducing the daily feeding time may limit the development of noncommunicable diseases. For example, Marinac et al. suggest that prolonging the length of the nightly fasting interval may be a strategy for reducing the risk of breast cancer recurrence [7]. A cohort of 420 individuals showed that eating late may negatively influence weight loss [8] and the authors of a study on a cohort of 2650 adult women suggested that reducing evening energy intake and fasting for longer nightly intervals may lower systemic inflammation and subsequently reduce the risk of breast cancer and other inflammatory and metabolic diseases [9].
Intermittent fasting (IF) is a dietary intervention that alternates between a period of fasting and a period of normal eating (1–3 days per week) [10,11]. Among various forms of IF, alternate day fasting (ADF) is defined as a continuous sequence of a fast day (i.e., 100% energy restriction) followed by and a feed day (ad libitum food consumption), resulting in 36-h fasting [12,13]. IF represents a dietary approach of growing interest as a weight loss and health improvement strategy [14,15,16].
Time-restricted feeding (TRF) is a form of IF that limits the daily food consumption to a period of 4–12 h, which induces a fasting window of 12–20 h per day [17]. However, TRF differs from IF in two aspects: (1) TRF does not require caloric restriction and (2) it requires a consistent daily eating window [18].
This dietary approach has shown beneficial effects in animals. In rodent models, it has been demonstrated that TRF protects mice fed a high fat diet against obesity, hyperinsulinemia, hepatic steatosis and inflammation [19]. Another study showed that TRF attenuates the onset of metabolic diseases and reverses the progression of metabolic diseases in mice with pre-existing obesity and type II diabetes, hepatic steatosis and hypercholesterolemia [20]. A study on Drosophila showed that TRF attenuates age-related cardiac decline [21].
The time-restricted eating (TRE) is used to refer to human models. Human trials and systematic reviews on TRE have supported the findings of animal studies and have demonstrated beneficial effects on cardiovascular metabolism [22]. A recent systematic review and meta-analysis of 19 studies showed that TRE leads to weight loss and a reduction in fat mass with a preservation of fat-free mass and also has beneficials effects on cardiometabolic parameters such as blood pressure, fasting glucose concentration and cholesterol profiles [18].
The purpose of this study is to systematically review the international literature, exploring the effects of TRE on human health.

2. Method

This work is a systematic descriptive review of the literature, following the international PRISMA recommendations [23].

2.1. Collection and Selection of Items

The collection and selection of articles was carried out by three independent researchers from September 2019 to September 2020 using the keys words time-restricted feeding, time-restricted eating and time-restricted nutrition.
The screened databases were MEDLINE, Web of Science, Scopus, Science Direct and the Cochrane Library. In addition, the following specialized journals were analyzed: Nutrition Reviews from the Oxford Academy, Nutrition Reviews from the Wiley Online Library, Obesity from the Wiley Online Library, the American Journal of Clinical Nutrition, Nutrition—Annual Review of Nutrition and Clinical Nutrition. The research equations used for each database are listed in Supplemental Method S1.
The included articles were all clinical trials, published between January 2014 and September 2020, in English, evaluating TRE on adult human populations.
Literature reviews, meta-analyses and any other type of publication were excluded, as were studies on Muslim fasting.
Once the articles were collected, they were selected through a process including three steps. The first was the selection of articles based on a reading of their titles. The remaining articles were then selected based on their abstract. Finally, the full article was read completely before being included or excluded according to the abovementioned criteria.
All the selection steps were carried out blindly by three operators. In the case of disagreement, a discussion between the three operators and the supervisor was carried out until consensus was reached.
For the constitution of the database, the authors used the Rayyan QCRI web application, specialized in systematic literature reviews [24].

2.2. Data Analysis and Extraction

The data were extracted from the original articles and classified in a table (Supplemental Table S1) according to the following themes: reference of the article, type of study, characteristics of the participants, main outcomes, main results and level of evidence. These data were then synthesized in a table for analysis. Data extraction and analysis was carried out by a single operator, the author of the review.
All the included articles will be referred to in this paper as RXX, with XX being a number.

2.3. Level of Evidence Classification

Levels of evidence were classified according to the Downs and Black checklist [25], which is a 27-item validity score assessing all the methodological aspects of clinical trials. Two questions about the double-blind method (14 and 15) were uncounted, which brought the score to 25 (Supplemental Table S2).
The second indicator was the classification provided by the High French Health Authority (HAS) [26] (Supplemental Table S3—HAS gradation).
The combination of these two indicators allowed for the determination of three levels of evidence—high, medium and low.

3. Results and Discussion

3.1. Selected Articles and Characteristics

Preliminary research identified four hundred and ninety-four articles, including clinical trials, literature reviews and other relevant work. After the exclusion of one hundred and six duplicates, three hundred and eighty-eight articles remained, from which 22 have been finally selected [27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49]. An article was added during the full article reading stage (R15—[41]), making a total of 23 articles included for analysis (see flow chart in Figure 1).
The literature on TRE is limited, with only 23 articles having been published, reporting the results of 22 trials. The studies took place over periods ranging from four days to four months and involved groups of 8 participants for the smallest sample and 105 participants for the largest one. The overall level of evidence was low to medium, with 10 controlled randomized trials with short intervention periods (average of 33.5 days) and small samples (average n = 21) for the medium-quality evidence studies. The other 11 studies were of low quality, with three non-randomized controlled studies and eight single-arm non-controlled trials. One study had a high level of evidence, with a controlled and randomized protocol and the largest sample of the review trials (105 participants) (R23).
However, it is important to note that 28 experiments evaluating TRE were still in progress at the closure of the collection period (March 2020). Among these 28 trials, 26 are randomized and involve larger samples (mean n = 81), which will provide better quality evidence on the subject. These observations indicate that TRE is a research subject of growing interest and knowledge.

3.2. Types of Time-Restricted Eating: Clarification of Terms

Time-restricted feeding is an intermittent fast which consists in limiting the daily feeding period [17]. However, the definition of the restriction is still imprecise in studies on humans and varies from 8 to 12 h, depending on the sources.
First, the nomenclature used to describe the type of time-restricted feeding practiced is standardized: TRE followed by the number of hours of feeding and fasting in a 24-h period, separated by a slash. For example, TRE 8/16 indicates a restriction of the daily feeding period to 8 h for a 16 h fast.
Among the 22 studies in the review, only one practiced a restriction equal to 12 h or less (R13), all the others having limited daily nutrition to a window of 10 h or less. These data clarify the definition of TRE in humans and indicate that it starts from a period of 10 h, a daily fast of 14 h and more.
The 8/16 variant is the most common form of TRE, with 50% of the trials in the review (n = 12). One TRE protocol (R1) did not impose any hours of fasting but required participants to shift their first meal and advance the time of their last daily meal by an hour and a half.
The food window can also vary during the day. For example, Sutton et al. (R4) introduced the concept of early TRE (eTRE), in which the feeding period started earlier in the day (R2, R4 and R5). By extension, delayed or late TRE (dTRE) delays the intake of the first meal (R3, R7, R8, R9, R12, R14 and R23). Hutchinson et al. (R11) have evaluated both early and late TRE. Three studies (R16, R17 and R18) allowed the self-selection of the food intake period by the participants.
TRE is generally an every-day (except for R12 and R13), water (except for R13) and ad libitum fast, which means that participants can eat until satiety without any restriction on the quality of quantity of food intake, except for four studies which used iso-caloric protocols (R2, R4, R19, R21).
These characteristics show that TRE could be adaptable to the participants’ eating habits, which may positively influence dietary adherence.

3.3. Adherence to TRE and Effect on Calorie Consumption

TRE was overall well-tolerated, with an adherence rate superior to 80% in eight studies (R6, R10, R12, R16, R17, R18, R20, R21) on the 10 that have evaluated adherence (Table 1). However, Gabel et al. (R7) have reported a dropout rate of 24% and in another feasibility study (R22), the compliance to the 9/15 TRE was 72 ± 24% (i.e., ~5 days/week).
Otherwise, adherence to meal timing was self-declared by the participants in diet diaries or interviews for most of the studies (R1, R3, R6, R7, R10, R11, R12, R13, R14, R16, R17, R19, R22, R23). Food intake measurement was also based on participants’ self-declarations (R1, R7, R8, R9, R12, R13, R14, R19, R22, R23). The food intake was not even tracked in seven of the studies (R3, R6, R10, R11, R16, R17, R20). These limitations could lead to declaration and confusion bias.
This limitation is an inherent difficulty in measuring health behaviors like food intake in free-living conditions. Gill and Panda (R15) developed a smartphone application which combines a photograph and an optional notification added by the participant (myCircadianClock, mCC—www.mycircadianclock.org). This method, also used in Wilkinson et al. (R18) and Chow et al. (R20), can represent an interesting way to reduce the methodological bias involved in food tracking. Studies have thereby shown that using a mobile application is more accurate for monitoring compliance to a dietary protocol than a traditional diet diary, and that it can also improve adherence to this protocol [50].
A recent literature review indicated that the main determinants of adherence to a diet are the ability to reduce the desire to eat and to conform to the patient’s eating habits [51]. In the present review, hunger remained stable in four studies (R4, R5, R11, R21), and in Ravussin et al. (R5) participants reported an improvement in several components of appetite by reducing hunger discomfort and the desire to eat. In addition, time-restricted eating appears less restrictive than classic diets, with no limitation in the quality or quantity of the food, and thus more adaptability to the participants’ eating behaviors.
Not only the adherence, but the long-term adherence is the most important factor of the success of a diet on overall health benefits [52]. The studies in this review were four days to 4 months long, which is a relatively short time to conclude. In the trial conducted by Wilkinson et al. (R18), 63% of the participants were somehow engaged in TRE 16 months after the end of the 12-week intervention. This result suggests that TRE could be a sustainable dietary intervention and it would be interesting to evaluate adherence over a longer period (12 to 24 months).
One may have expected that the restriction of feeding time would increase the calorie intake. Inversely, TRE reduced caloric consumption by 20% on average, without an alteration of macronutrient distribution (Table 1). Interestingly, this calorie restriction has been described as not intentional by the participants, which is likely to protect them against cognitive restriction. A study revealed that cognitively-restrained eaters increase their energy intake compared to baseline and lose less body weight than unrestrained eaters after a 10-month dietary intervention [53].
Moreover, TRE provides a similar level of calorie restriction to other voluntary restrictive dietary measures, such as continuous caloric restriction. Indeed, the CALERIE is the largest ever study to evaluate continuous caloric restriction in a non-obese population [54] and its results indicated that even the most motivated subjects were unable to maintain a 25% calorie restriction over two years. Put together, these findings suggest that (1) TRE could represent a more sustainable strategy for patients who want to reduce their caloric intake and (2) TRE could produce a more sustainable body weight loss than voluntarily restrictive diets.

3.4. Metabolic Effects of TRE

It has been established in the literature that intermittent fasting produces beneficial metabolic effects via caloric restriction [55,56]. This principle is confirmed by the results of the review, with an average weight loss of 3% and fat mass perdition (Table 1), body fat loss and a decrease in the level of fasting glucose concentration (R1), weight loss and BMI reduction in (R7, R9, R15, R18), a drop in systolic blood pressure (R7, R9, R18), a reduction in waist circumference and a decrease in cholesterol concentration (R18).
Interestingly, six studies on TRE have shown beneficial metabolic effects, regardless of the calorie restriction (Table 1). For example, a randomized iso-caloric study evaluating eTRE showed a decrease in the average blood sugar level and reduced insulin resistance (R2). Likewise, a crossover randomized trial (R21) demonstrated that short-term TRE improved nocturnal glycemic control. An iso-caloric trial on eTRE 8/16 (R4) showed an improvement in glucose tolerance and a major decrease in systolic blood pressure, comparable to the results obtained with pharmacological treatment with an ACE inhibitor [57]. Moro et al. reported that a combination of TRE 8/16 with regular physical activity reduced fat mass, decreased blood glucose levels, improved insulin resistance and lowered triglyceride levels (R8). Grant et al. (R14) showed a reduction of 4%–7% of fat mass, despite an increase in caloric intake between groups, but only on a per protocol analysis. McAllister et al. showed body weight and fat mass loss, a reduction in systolic blood pressure and an increase in HDL cholesterol in two groups applying 8/16 TRE in ad libitum and isocaloric conditions, with no difference between groups (R19). The authors suggested that this effect was due to the increase in adiponectin levels. Adiponectin is an adipokine of which the secretion increases during fasting [58] and which could produce a loss of fat mass by increasing energy expenditure [59,60] and by activating AMPK, a kinase which stimulates lipolysis and insulin-sensitivity [61,62,63]. An adiponectin level increase was also observed in the randomized study by Moro et al. (R8). These findings are interesting and suggest that the TRE could produce positive metabolic effects independently of energy balance.
Although metabolic changes are the result of an imbalance between the energy content of food eaten and energy expended partly via physical activity [64,65], only three of the six mentioned studies measured physical activity (R8, R14, R21). In the Moro et al. trial, for example (R8), 8-week TRE associated with resistance training (RT) produce the abovementioned metabolic effects in comparison with a group of adults who performed only strength training, with no difference in food intake and physical activity. In this study, the physical activity was only measured during the training session, thus the stated effects could be due to an unmeasured energy expenditure increase outside of training sessions. Tinsley et al. also evaluated the effects of TRE associated with resistance training (R4). They measured physical activity during and outside training sessions, which limits the potential bias. It is necessary for further studies on TRE to systematically control the impact of physical activity to confirm these interesting effects.

3.5. TRE and the Circadian Clock

It has also been established that the beneficial metabolic effects of a diet are induced by the weight and/or fat loss it produces [56]. This assertion has been confirmed in seven studies of this review (R1, R3, R7–9, R8, R17, R18, R19—Table 1). Wilkinson et al., for example, performed a 12-week 10/14 TRE on 19 adults with metabolic syndrome, and recorded LDL and non-HDL cholesterol reduction, a decrease in systolic blood pressure associated with a body weight loss of 3%, body fat perdition and the reduction in BMI and waist circumference. In contrast to other diets, TRE generates metabolic benefits regardless of any loss of weight or fat. For example, Hutchinson et al. showed an improvement in the glucose tolerance and a decrease in triglycerides in participants practicing eTRE for two weeks (R11). Furthermore, Sutton et al. recorded an improvement in glucose-tolerance and a decrease in insulin levels and blood pressure (R4). These promising results suggest that TRE generates an intrinsic metabolic effect, independently of weight loss or fat mass.
The main mechanism hypothesized to explain this intrinsic effect is its action on the body’s circadian rhythm [66]. The circadian system represents all the physiological processes involved in a 24-h cycle, such as the sleep/wake cycle, blood pressure, heart rate, hormone secretion, cognitive performance and mood regulation [66]. The system is regulated by a number of environmental stimuli such as food intake, light exposure and physical activity [67]. Growing evidence shows that the disruption of the circadian system is the cause of many metabolic pathologies like obesity [68,69]. Thus, limiting the time of food consumption seems to readjust the food intake with the circadian clock [70,71,72,73]; this is a fundamental principle of chrononutrition, which is the study of relationships between circadian clocks and food intake [74] and which suggests that meal timing affects metabolism [75].
Several results support this hypothesis. First, adiponectin has been established to play a key role in all the metabolic effects described above, such as the loss of fat mass [62], promotion of glycemic and lipid metabolism [60,63] and reduction in blood pressure [76]. This molecule is known to actively regulate the action of the circadian system [77,78]. In addition, a randomized controlled iso-caloric study involving large-scale gene expression analysis showed that eTRE affected the expression of six genes involved in circadian rhythm (R2). Finally, a study indicated that TRE produced a significant and durable improvement of sleep quality (R15) and a 12-week single-arm trial evaluating 10/14 TRE on 19 adults recorded an increase in sleep duration and efficiency in 84% of the participants. Moreover, the improvement of sleep quality is known to be directly linked to the enhancement of the circadian system [79,80]. However, the exact action of TRE on circadian systems remains unclear in humans, and studies are needed to better understand the mechanisms involved.
A growing number of observations on animal models hypothesize that the positive effects of physical activity on cardiovascular markers are also due to the ability to restore the circadian rhythm [81,82]. Moro et al. (R8) compared a group combining a TRE diet and an RT program (three sessions/week) with a group practicing RT alone for eight weeks. Only the TRE + RT group recorded a decrease in total body mass and fat mass as well as an improvement in metabolic markers (glycemic tolerance, decrease in triglycerides). However, as mentioned above, energy expenditure through physical activity was only recorded during training sessions, which could lead to a classification bias. Future studies should systematically control this factor and could test TRE alone vs. TRE + RT. Again, smartphone-based methods represent an interesting strategy to measure physical activity and energy expenditure in normal living conditions [83].

3.6. Other Effects of TRE

Other beneficial effects were explored in our review. Intermittent fasting has been shown to prevent cancer by lowering the IGF-1 level in animals [84] and humans [84]. This effect has been stated in two review studies (R2 and R8) and suggests a protective effect of TRE in carcinogenesis. In addition, researchers have shown that an intermittent one-month fast leads to a decrease in pro-inflammatory cytokines [85]. This result was also confirmed by a review study which reported a drop in TNF-α and IL-1-β levels after 8 weeks of TRE associated with physical training (R8). The decrease in these mediators of inflammation is otherwise hypothesized to play a role in circadian rhythm improvement through the action of adiponectin [86]. Gene expression analysis has shown that TRE increases the expression of four genes involved in autophagy and longevity (R2). This study was also the first to show that TRE increases the secretion of BDNF, a protective factor against the development of neurodegenerative diseases [87]. In addition, two studies exploring the effects of TRE in the elderly showed an improvement in walking speed, a predictor of geriatric robustness [88], as well as an attenuation of immuno-senescence process (R10 and R13). Furthermore, Sutton et al. (R4) showed that TRE causes a significant decrease in 8-isoprostane, a biomarker of oxidative stress [89]. Although they are promising, these observations are based on biological criteria whose clinical implications are limited. Longitudinal studies are needed to assess the impact of TRE on the morbidity and mortality linked to these.

4. Conclusions

Our review revealed that reducing the daily feeding period is a well-tolerated dietary approach for calorie restriction, which would be interesting to evaluate on longer term. Interestingly, TRE differs from other dietary interventions by producing beneficial effects on many health markers regardless of the energy balance. These effects suggest that nutrition affects health not only through quantity or quality of the intakes, but also via the timing of food consumption according to the circadian clock.
More widely, it would be interesting to evaluate whether other health behaviors like sleep quality or physical activity can influence health markers by their timing according to the circadian clock. For this purpose, further studies could use smartphone-based methods to measure health behaviors in free-living conditions. Indeed, smartphones are ubiquitous and present worldwide, available at any time of the day and can be used as portable monitoring devices to provide detailed information on lifestyle behaviors according to the circadian clock. This information should help to better understand the relationship between health behaviors, timing and the occurrence of diseases.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/12/12/3770/s1, Table S1: Data extraction, Table S2: Validity score provided by the Downs and Black checklist, Table S3: HAS gradation, Method S1: Research equations.

Author Contributions

R.A. conducted the review, analyzed the data and wrote the manuscript. A.H. and A.P. were involved in data collection. M.M., S.B. and W.M. assisted the author in data collection and manuscript writing. N.M. assisted in manuscript writing and supervised the whole project. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The database constitution was conducted using Rayyan QCRI, a systematic review web application.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zöllner, N. The relevance of diet for civilization diseases, especially atherosclerosis. Wien. Med. Wochenschr. Suppl. 1990, 106, 11–12. [Google Scholar]
  2. Zarrinpar, A.; Chaix, A.; Panda, S. Daily Eating Patterns and Their Impact on Health and Disease. Trends Endocrinol. Metab. 2016, 27, 69–83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Micha, R.; Peñalvo, J.L.; Cudhea, F.; Imamura, F.; Rehm, C.D.; Mozaffarian, D. Association Between Dietary Factors and Mortality From Heart Disease, Stroke, and Type 2 Diabetes in the United States. JAMA 2017, 317, 912–924. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Mozaffarian, D. Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity. Circulation 2016, 133, 187–225. [Google Scholar] [CrossRef]
  5. Kant, A.K. Eating patterns of US adults: Meals, snacks, and time of eating. Physiol. Behav. 2018, 193, 270–278. [Google Scholar] [CrossRef]
  6. Gupta, N.J.; Kumar, V.; Panda, S. A camera-phone based study reveals erratic eating pattern and disrupted daily eating-fasting cycle among adults in India. PLoS ONE 2017, 12, e0172852. [Google Scholar] [CrossRef]
  7. Marinac, C.R.; Nelson, S.H.; Breen, C.I.; Hartman, S.J.; Natarajan, L.; Pierce, J.P.; Flatt, S.W.; Sears, D.D.; Patterson, R.E. Prolonged Nightly Fasting and Breast Cancer Prognosis. JAMA Oncol. 2016, 2, 1049–1055. [Google Scholar] [CrossRef]
  8. Garaulet, M.; Gómez-Abellán, P.; Alburquerque-Béjar, J.J.; Lee, Y.-C.; Ordovás, J.M.; Scheer, F.A.J.L. Timing of food intake predicts weight loss effectiveness. Int. J. Obes. 2013, 37, 604–611. [Google Scholar] [CrossRef] [Green Version]
  9. Marinac, C.R.; Sears, D.D.; Natarajan, L.; Gallo, L.C.; Breen, C.I.; Patterson, R.E. Frequency and Circadian Timing of Eating May Influence Biomarkers of Inflammation and Insulin Resistance Associated with Breast Cancer Risk. PLoS ONE 2015, 10, e0136240. [Google Scholar] [CrossRef] [Green Version]
  10. Patterson, R.E.; Laughlin, G.A.; Lacroix, A.Z.; Hartman, S.J.; Natarajan, L.; Senger, C.M.; Martínez, M.E.; Villaseñor, A.; Sears, D.D.; Marinac, C.R.; et al. Intermittent Fasting and Human Metabolic Health. J. Acad. Nutr. Diet. 2015, 115, 1203–1212. [Google Scholar] [CrossRef] [Green Version]
  11. Barnosky, A.R.; Hoddy, K.K.; Unterman, T.G.; Varady, K.A. Intermittent fasting vs. daily calorie restriction for type 2 diabetes prevention: A review of human findings. Transl. Res. 2014, 164, 302–311. [Google Scholar] [CrossRef] [PubMed]
  12. Varady, K.A.; Bhutani, S.; Klempel, M.C.; Kroeger, C.M.; Trepanowski, J.F.; Haus, J.M.; Hoddy, K.K.; Calvo, Y. Alternate day fasting for weight loss in normal weight and overweight subjects: A randomized controlled trial. Nutr. J. 2013, 12, 146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Trepanowski, J.F.; Kroeger, C.M.; Barnosky, A.; Klempel, M.C.; Bhutani, S.; Hoddy, K.K.; Gabel, K.; Freels, S.; Rigdon, J.; Rood, J.; et al. Effect of Alternate-Day Fasting on Weight Loss, Weight Maintenance, and Cardioprotection Among Metabolically Healthy Obese Adults: A Randomized Clinical Trial. JAMA Intern. Med. 2017, 177, 930–938. [Google Scholar] [CrossRef] [PubMed]
  14. Templeman, I.; Gonzalez, J.T.; Thompson, D.; Betts, J.A. The role of intermittent fasting and meal timing in weight management and metabolic health. Proc. Nutr. Soc. 2020, 79, 76–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Johnstone, A. Fasting for weight loss: An effective strategy or latest dieting trend? Int. J. Obes. 2014, 39, 727–733. [Google Scholar] [CrossRef]
  16. Mattson, M.P.; Longo, V.D.; Harvie, M. Impact of intermittent fasting on health and disease processes. Ageing Res. Rev. Ageing Res. Rev. 2017, 39, 46–58. [Google Scholar] [CrossRef]
  17. Chaix, A.; Zarrinpar, A.; Miu, P.; Panda, S. Time-Restricted Feeding Is a Preventative and Therapeutic Intervention against Diverse Nutritional Challenges. Cell Metab. 2014, 20, 991–1005. [Google Scholar] [CrossRef] [Green Version]
  18. Moon, S.; Kang, J.; Kim, S.H.; Chung, H.S.; Kim, Y.J.; Yu, J.M.; Cho, S.T.; Oh, C.-M.; Kim, T. Beneficial Effects of Time-Restricted Eating on Metabolic Diseases: A Systemic Review and Meta-Analysis. Nutrients 2020, 12, 1267. [Google Scholar] [CrossRef]
  19. Hatori, M.; Vollmers, C.; Zarrinpar, A.; DiTacchio, L.; Bushong, E.; Gill, S. Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet. Cell Metab. 2012, 15, 848–860. [Google Scholar] [CrossRef] [Green Version]
  20. Rothschild, J.; Hoddy, K.K.; Jambazian, P.; Varady, K.A. Time-restricted feeding and risk of metabolic disease: A review of human and animal studies. Nutr. Rev. 2014, 72, 308–318. [Google Scholar] [CrossRef]
  21. Gill, S.; Le, H.D.; Melkani, G.C.; Panda, S. Time-restricted feeding attenuates age-related cardiac decline in Drosophila. Science 2015, 347, 1265–1269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Melkani, G.C.; Panda, S. Time-restricted feeding for prevention and treatment of cardiometabolic disorders. J. Physiol. 2017, 595, 3691–3700. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Ouzzani, M.; Hammady, H.; Fedorowicz, Z.; Elmagarmid, A. Rayyan—A web and mobile app for systematic reviews. Syst. Rev. 2016, 5, 210. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139140/ (accessed on 18 May 2020). [CrossRef] [Green Version]
  25. Downs, S.H.; Black, N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J. Epidemiol. Community Health 1998, 52, 377–384. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Guide HAS: Niveau de Preuve et Gradation des Recommandations de Bonne Pratique. Rédaction Médicale et Scientifique. Available online: https://www.redactionmedicale.fr/2013/06/mis-en-ligne-le-14-juin-2013-sur-le-site-de-la-has-ce-guide-est-bienvenu-mais-sadresse-aux-sp%C3%A9cialistes-du-sujet-sil-en-ex.html (accessed on 18 May 2020).
  27. Antoni, R.; Robertson, T.M.; Robertson, M.D.; Johnston, J.D. A pilot feasibility study exploring the effects of a moderate time-restricted feeding intervention on energy intake, adiposity and metabolic physiology in free-living human subjects. J. Nutr. Sci. 2018, 7, E22. [Google Scholar] [CrossRef] [Green Version]
  28. Jamshed, H.; Beyl, R.; Manna, D.; Yang, E.; Ravussin, E.; Peterson, C. Early time-restricted feeding improves 24-h glucose levels and affects markers of the circadian clock, aging, and autophagy in humans. Nutrients 2019, 11, 1234. [Google Scholar] [CrossRef] [Green Version]
  29. Smith, S.T.; LeSarge, J.C.; Lemon, P.W. Time-Restricted Eating In Women—A Pilot Study. West. Undergrad. Res. J. Health Nat. Sci. 2017, 8. [Google Scholar] [CrossRef] [Green Version]
  30. Sutton, E.F.; Beyl, R.; Early, K.S.; Cefalu, W.T.; Ravussin, E.; Peterson, C.M. Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress Even without Weight Loss in Men with Prediabetes. Cell Metab. 2018, 27, 1212–1221.e3. [Google Scholar] [CrossRef] [Green Version]
  31. Ravussin, E.; Beyl, R.A.; Poggiogalle, E.; Hsia, D.S.; Peterson, C.M. Early Time-Restricted Feeding Reduces Appetite and Increases Fat Oxidation but Does Not Affect Energy Expenditure in Humans. Obesity 2019, 27, 1244–1254. [Google Scholar] [CrossRef]
  32. Gabel, K.; Hoddy, K.K.; Burgess, H.J.; Varady, K.A. Effect of 8-h time-restricted feeding on sleep quality and duration in adults with obesity. Appl. Physiol. Nutr. Metab. 2019, 44, 903–906. [Google Scholar] [CrossRef] [PubMed]
  33. Gabel, K.; Hoddy, K.K.; Haggerty, N.; Song, J.; Kroeger, C.M.; Trepanowski, J.F.; Panda, S.; Varady, K.A. Effects of 8-h time restricted feeding on body weight and metabolic disease risk factors in obese adults: A pilot study. Nutr. Healthy Aging 2018, 4, 345–353. [Google Scholar] [CrossRef] [PubMed]
  34. Gabel, K.; Hoddy, K.K.; Varady, K.A. Safety of 8-h time restricted feeding in adults with obesity. Appl. Physiol. Nutr. Metab. 2019, 44, 107–109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Moro, T.; Tinsley, G.; Bianco, A.; Marcolin, G.; Pacelli, Q.F.; Battaglia, G.; Palma, A.; Gentil, P.; Neri, M.; Paoli, A. Effects of eight weeks of time-restricted feeding (16/8) on basal metabolism, maximal strength, body composition, inflammation, and cardiovascular risk factors in resistance-trained males. J. Transl. Med. 2016, 14, 290. [Google Scholar] [CrossRef]
  36. Anton, S.D.; Lee, S.A.; Donahoo, W.T.; McLaren, C.; Manini, T.; Leeuwenburgh, C.; Pahor, M. The Effects of Time Restricted Feeding on Overweight, Older Adults: A Pilot Study. Nutrients 2019, 11, 1500. [Google Scholar] [CrossRef] [Green Version]
  37. Hutchison, A.T.; Regmi, P.; Manoogian, E.N.; Fleischer, J.G.; Wittert, G.A.; Panda, S.; Heilbronn, L.K. Time-Restricted Feeding Improves Glucose Tolerance in Men at Risk for Type 2 Diabetes: A Randomized Crossover Trial. Obesity 2019, 27, 724–732. [Google Scholar] [CrossRef]
  38. Tinsley, G.M.; Forsse, J.S.; Butler, N.K.; Paoli, A.; Bane, A.A.; La Bounty, P.M.; Morgan, G.B.; Grandjean, P.W. Time-restricted feeding in young men performing resistance training: A randomized controlled trial. Eur. J. Sport Sci. 2017, 17, 200–207. [Google Scholar] [CrossRef]
  39. Gasmi, M.; Sellami, M.; Denham, J.; Padulo, J.; Kuvacic, G.; Selmi, W.; Khalifa, R. Time-restricted feeding influences immune responses without compromising muscle performance in older men. Nutrition 2018, 51–52, 29–37. [Google Scholar] [CrossRef]
  40. Tinsley, G.M.; Moore, M.L.; Graybeal, A.J.; Paoli, A.; Kim, Y.; Gonzales, J.U.; Harry, J.R.; VanDusseldorp, T.A.; Kennedy, D.N.; Cruz, M.R. Time-restricted feeding plus resistance training in active females: A randomized trial. Am. J. Clin. Nutr. 2019, 110, 628–640. [Google Scholar] [CrossRef] [Green Version]
  41. Gill, S.; Panda, S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metab. 2015, 22, 789–798. [Google Scholar] [CrossRef] [Green Version]
  42. Lee, S.; Sypniewski, C.; Bensadon, B.; McLaren, C.; Donahoo, W.T.; Sibille, K.T.; Anton, S.D. Determinants of Adherence in Time-Restricted Feeding in Older Adults: Lessons from a Pilot Study. Nutrients 2020, 12, 874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Kesztyüs, D.; Cermak, P.; Gulich, M.; Kesztyüs, T. Adherence to Time-Restricted Feeding and Impact on Abdominal Obesity in Primary Care Patients: Results of a Pilot Study in a Pre–Post Design. Nutrients 2019, 11, 2854. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Wilkinson, M.J.; Manoogian, E.N.; Zadourian, A.; Lo, H.; Fakhouri, S.; Shoghi, A.; Wang, X.; Fleischer, J.G.; Navlakha, S.; Panda, S.; et al. Ten-Hour Time-Restricted Eating Reduces Weight, Blood Pressure, and Atherogenic Lipids in Patients with Metabolic Syndrome. Cell Metab. 2020, 31, 92–104.e5. [Google Scholar] [CrossRef] [PubMed]
  45. McAllister, M.J.; Pigg, B.L.; Renteria, L.I.; Waldman, H.S. Time-restricted feeding improves markers of cardiometabolic health in physically active college-age men: A 4-week randomized pre-post pilot study. Nutr. Res. 2020, 75, 32–43. [Google Scholar] [CrossRef] [PubMed]
  46. Chow, L.S.; Manoogian, E.N.C.; Alvear, A.; Fleischer, J.G.; Thor, H.; Dietsche, K.; Wang, Q.; Hodges, J.S.; Esch, N.; Malaeb, S.; et al. Time-Restricted Eating Effects on Body Composition and Metabolic Measures in Humans who are Overweight: A Feasibility Study. Obesity 2020, 28, 860–869. [Google Scholar] [CrossRef]
  47. Parr, E.B.; Devlin, B.L.; Radford, B.E.; Hawley, J.A. A Delayed Morning and Earlier Evening Time-Restricted Feeding Protocol for Improving Glycemic Control and Dietary Adherence in Men with Overweight/Obesity: A Randomized Controlled Trial. Nutrients 2020, 12, 505. [Google Scholar] [CrossRef] [Green Version]
  48. Parr, E.B.; Devlin, B.L.; Lim, K.H.C.; Moresi, L.N.Z.; Geils, C.; Brennan, L.; Hawley, J.A. Time-Restricted Eating as a Nutrition Strategy for Individuals with Type 2 Diabetes: A Feasibility Study. Nutrients 2020, 12, 3228. [Google Scholar] [CrossRef]
  49. Lowe, D.A.; Wu, N.; Rohdin-Bibby, L.; Moore, A.H.; Kelly, N.; Liu, Y.E.; Philip, E.; Vittinghoff, E.; Heymsfield, S.B.; Olgin, J.E.; et al. Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity: The TREAT Randomized Clinical Trial. JAMA Intern. Med. 2020, 180, 1491–1499. [Google Scholar] [CrossRef]
  50. Carter, M.C.; Burley, V.J.; Nykjaer, C.; Cade, J.E. Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial. J. Med. Internet Res. 2013, 15, e32. [Google Scholar] [CrossRef]
  51. Gibson, A.A.; Sainsbury, A. Strategies to Improve Adherence to Dietary Weight Loss Interventions in Research and Real-World Settings. Behav. Sci. 2017, 7, 44. [Google Scholar] [CrossRef] [Green Version]
  52. Middleton, K.R.; Anton, S.D.; Perri, M.G. Long-Term Adherence to Health Behavior Change. Am. J. Lifestyle Med. 2013, 7, 395–404. [Google Scholar] [CrossRef] [Green Version]
  53. Miguet, M.; Masurier, J.; Chaput, J.-P.; Pereira, B.; Lambert, C.; Dâmaso, A.; Courteix, D.; Duclos, M.; Boirie, Y.; Thivel, D. Cognitive restriction accentuates the increased energy intake response to a 10-month multidisciplinary weight loss program in adolescents with obesity. Appetite 2019, 134, 125–134. [Google Scholar] [CrossRef] [PubMed]
  54. Stewart, T.; Bhapkar, M.; Das, S.; Galan, K.; Martin, C.; McAdams, L.; Pieper, C.; Redman, L.; Roberts, S.; Stein, R.; et al. Comprehensive Assessment of Long-Term Effects of Reducing Intake of Energy Phase 2 (CALERIE Phase 2) Screening and Recruitment: Methods and Results. Contemp. Clin. Trials 2013, 34, 10–20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Rynders, C.A.; Thomas, E.A.; Zaman, A.; Pan, Z.; Catenacci, V.A.; Melanson, E.L. Effectiveness of Intermittent Fasting and Time-Restricted Feeding Compared to Continuous Energy Restriction for Weight Loss. Nutrients 2019, 11, 2442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. De Azevedo, F.R.; Caramelli, B. Effects of intermittent fasting on metabolism in men. Rev. Assoc. Med. Bras. 2013, 59, 167–173. [Google Scholar] [CrossRef] [Green Version]
  57. Heran, B.S.; Wong, M.M.; Heran, I.K.; Wright, J.M. Blood pressure lowering efficacy of angiotensin converting enzyme (ACE) inhibitors for primary hypertension. Cochrane Database Syst. Rev. 2008, 2008, CD003823. [Google Scholar] [CrossRef]
  58. Halberg, N.; Henriksen, M.; Söderhamn, N.; Stallknecht, B.; Ploug, T.; Schjerling, P.; Dela, F. Effect of intermittent fasting and refeeding on insulin action in healthy men. J. Appl. Physiol. 2005, 99, 2128–2136. [Google Scholar] [CrossRef] [Green Version]
  59. Gulcelik, N.E.; Halil, M.; Ariogul, S.; Usman, A. Adipocytokines and aging: Adiponectin and leptin. Minerva Endocrinol. 2013, 38, 203–210. [Google Scholar]
  60. Cnop, M.; Havel, P.J.; Utzschneider, K.M.; Carr, D.B.; Sinha, M.K.; Boyko, E.J.; Retzlaff, B.M.; Knopp, R.H.; Brunzell, J.D.; Kahn, S.E. Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: Evidence for independent roles of age and sex. Diabetologia 2003, 46, 459–469. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Chen, H.; Zhang, L.; Li, X.; Li, X.; Sun, G.; Yuan, X.; Lei, L.; Liu, J.; Yin, L.; Deng, Q.; et al. Adiponectin activates the AMPK signaling pathway to regulate lipid metabolism in bovine hepatocytes. J. Steroid Biochem. Mol. Biol. 2013, 138, 445–454. [Google Scholar] [CrossRef]
  62. Zhou, L.; Deepa, S.S.; Etzler, J.C.; Ryu, J.; Mao, X.; Fang, Q.; Liu, D.D.; Torres, J.M.; Jia, W.; Lechleiter, J.D.; et al. Adiponectin Activates AMP-activated Protein Kinase in Muscle Cells via APPL1/LKB1-dependent and Phospholipase C/Ca2+/Ca2+/Calmodulin-dependent Protein Kinase Kinase-dependent Pathways. J. Biol. Chem. 2009, 284, 22426–22435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Higashiura, K.; Ura, N.; Ohata, J.-I.; Togashi, N.; Takagi, S.; Saitoh, S.; Murakami, H.; Takagawa, Y.; Shimamoto, K. Correlations of adiponectin level with insulin resistance and atherosclerosis in Japanese male populations. Clin. Endocrinol. 2004, 61, 753–759. [Google Scholar] [CrossRef] [PubMed]
  64. Hall, K.D.; Heymsfield, S.B.; Kemnitz, J.W.; Klein, S.; Schoeller, D.A.; Speakman, J.R. Energy balance and its components: Implications for body weight regulation123. Am. J. Clin. Nutr. 2012, 95, 989–994. [Google Scholar] [CrossRef] [PubMed]
  65. Hill, J.O.; Wyatt, H.R.; Peters, J.C. The Importance of Energy Balance. Eur. Endocrinol. 2013, 9, 111–115. [Google Scholar] [CrossRef] [Green Version]
  66. Longo, V.D.; Panda, S. Fasting, Circadian Rhythms, and Time-Restricted Feeding in Healthy Lifespan. Cell Metab. 2016, 23, 1048–1059. [Google Scholar] [CrossRef] [Green Version]
  67. Vitaterna, M.H.; Takahashi, J.S.; Turek, F.W. Overview of circadian rhythms. Alcohol Res. Health 2001, 25, 85–93. [Google Scholar]
  68. Arble, D.M.; Ramsey, K.M.; Bass, J.; Turek, F.W. Circadian Disruption and Metabolic Disease: Findings from Animal Models. Best Pract. Res. Clin. Endocrinol. Metab. 2010, 24, 785–800. [Google Scholar] [CrossRef] [Green Version]
  69. Scheer, F.A.J.L.; Hilton, M.F.; Mantzoros, C.S.; Shea, S.A. Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc. Natl. Acad. Sci. USA 2009, 106, 4453–4458. [Google Scholar] [CrossRef] [Green Version]
  70. Manoogian, E.N.C.; Panda, S. Circadian rhythms, time-restricted feeding, and healthy aging. Ageing Res. Rev. 2017, 39, 59–67. [Google Scholar] [CrossRef]
  71. Asher, G.; Sassone-Corsi, P. Time for Food: The Intimate Interplay between Nutrition, Metabolism, and the Circadian Clock. Cell 2015, 161, 84–92. [Google Scholar] [CrossRef] [Green Version]
  72. Kessler, K.; Pivovarova-Ramich, O. Meal Timing, Aging, and Metabolic Health. Int. J. Mol. Sci. 2019, 20, 1911. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Sunderram, J.; Sofou, S.; Kamisoglu, K.; Karantza, V.; Androulakis, I.P. Time-restricted feeding and the realignment of biological rhythms: Translational opportunities and challenges. J. Transl. Med. 2014, 12, 79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Oike, H.; Oishi, K.; Kobori, M. Nutrients, Clock Genes, and Chrononutrition. Curr. Nutr. Rep. 2014, 3, 204–221. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Almoosawi, S.; Vingeliene, S.; Karagounis, L.G.; Pot, G.K. Chrono-nutrition: A review of current evidence from observational studies on global trends in time-of-day of energy intake and its association with obesity. Proc. Nutr. Soc. 2016, 75, 487–500. [Google Scholar] [CrossRef] [Green Version]
  76. Baden, M.Y.; Yamada, Y.; Takahi, Y.; Obata, Y.; Saisho, K.; Tamba, S.; Yamamoto, K.; Umeda, M.; Furubayashi, A.; Tsukamoto, Y.; et al. Association of adiponectin with blood pressure in healthy people. Clin. Endocrinol. 2013, 78, 226–231. [Google Scholar] [CrossRef]
  77. Hashinaga, T.; Wada, N.; Otabe, S.; Yuan, X.; Kurita, Y.; Kakino, S.; Tanaka, K.; Sato, T.; Kojima, M.; Ohki, T.; et al. Modulation by adiponectin of circadian clock rhythmicity in model mice for metabolic syndrome. Endocr. J. 2012, 60, 483–492. [Google Scholar] [CrossRef] [Green Version]
  78. Poggiogalle, E.; Jamshed, H.; Peterson, C.M. Circadian Regulation of Glucose, Lipid, and Energy Metabolism in Humans. Metabolism 2018, 84, 11–27. [Google Scholar] [CrossRef] [Green Version]
  79. Potter, G.D.M.; Skene, D.J.; Arendt, J.; Cade, J.E.; Grant, P.J.; Hardie, L.J. Circadian Rhythm and Sleep Disruption: Causes, Metabolic Consequences, and Countermeasures. Endocr. Rev. 2016, 37, 584–608. [Google Scholar] [CrossRef] [Green Version]
  80. Wright, K.P.; Drake, A.L.; Frey, D.J.; Fleshner, M.; DeSouza, C.A.; Gronfier, C.; Czeisler, C.A. Influence of sleep deprivation and circadian misalignment on cortisol, inflammatory markers, and cytokine balance. Brain Behav. Immun. 2015, 47, 24–34. [Google Scholar] [CrossRef] [Green Version]
  81. Gabriel, B.M.; Zierath, J.R. Circadian rhythms and exercise—Re-setting the clock in metabolic disease. Nat. Rev. Endocrinol. 2019, 15, 197–206. [Google Scholar] [CrossRef]
  82. Barger, L.K.; Wright, K.P.; Hughes, R.J.; Czeisler, C.A. Daily exercise facilitates phase delays of circadian melatonin rhythm in very dim light. Am. J. Physiol. Integr. Comp. Physiol. 2004, 286, R1077–R1084. [Google Scholar] [CrossRef] [Green Version]
  83. Guidoux, R.; Duclos, M.; Fleury, G.; Lacomme, P.; Lamaudière, N.; Manenq, P.-H.; Paris, L.; Ren, L.; Rousset, S. A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions. J. Biomed. Inform. 2014, 52, 271–278. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Fontana, L.; Weiss, E.P.; Villareal, D.T.; Klein, S.; Holloszy, J.O. Long-term effects of calorie or protein restriction on serum IGF-1 and IGFBP-3 concentration in humans. Aging Cell 2008, 7, 681–687. [Google Scholar] [CrossRef] [Green Version]
  85. Kacimi, S.; Ref’at, A.; Fararjeh, M.A.; Bustanji, Y.K.; Mohammad, M.K.; Salem, M.L. Intermittent fasting during Ramadan attenuates proinflammatory cytokines and immune cells in healthy subjects. Nutr. Res. 2012, 32, 947–955. [Google Scholar]
  86. Ouchi, N.; Walsh, K. Adiponectin as an anti-inflammatory factor. Clin. Chim. Acta 2007, 380, 24–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Wang, Z.-H.; Wu, W.; Kang, S.S.; Liu, X.; Wu, Z.; Peng, J.; Yu, S.P.; Manfredsson, F.P.; Sandoval, I.M.; Liu, X.; et al. BDNF inhibits neurodegenerative disease-associated asparaginyl endopeptidase activity via phosphorylation by AKT. JCI Insight 2018, 3, e99007. [Google Scholar] [CrossRef] [PubMed]
  88. Studenski, S.; Perera, S.; Patel, K.; Rosano, C.; Faulkner, K.; Inzitari, M.; Brach, J.; Chandler, J.; Cawthon, P.; Connor, E.B.; et al. Gait Speed and Survival in Older Adults. JAMA 2011, 305, 50–58. [Google Scholar] [CrossRef] [Green Version]
  89. Montuschi, P.; Barnes, P.J.; Roberts, L.J. Isoprostanes: Markers and mediators of oxidative stress. FASEB J. 2004, 18, 1791–1800. [Google Scholar] [CrossRef]
Nutrients 12 03770 g001 550
Figure 1. Flow chart of article selection strategy.
Figure 1. Flow chart of article selection strategy.
Nutrients 12 03770 g001
Table
Table 1. Synthesis of results.
Table 1. Synthesis of results.
Study [Ref]Level of EvidencePopulationProtocolEnergy BalanceMetabolic EffectOther Results
R1
Antoni et al. 2018
[27]		Lown = 13
Healthy adults,
29–57 years.		↓ Food window of 3 h
10-week non-randomized controlled trial.		↓ daily energy intake↓ body 1.9% fat mass index
↓ fasting blood glucose		Only 19% withdrawal including one lost to follow-up
R2
Jamshed et al. 2019
[28]		Mediumn = 11
Healthy adults,
32 ± 7 years.		Early TRE 6/18
4-day randomized controlled iso-caloric crossover trial with 3.5 to 5 weeks of wash-out		No difference in calorie intake (iso-caloric)↓ 24-h glucose and hyperglycemic excursion
↓ insulin resistance
↑ total cholesterol, LDLc, HDLc		↑ BDNF
↓ IGF1
Modification of genes expressions involved in circadian rhythm, longevity, autophagy
R3
Smith et al. 2017
[29]		Lown = 20
Healthy women,
21.3 ± 1.2 years.		Delayed TRE 8/16
4-week single-arm trial		 Nutrients 12 03770 i001↓ body mass of 0.6 ± 1 kg
↓ body fat in participants that strength trained (>3 day/week)
R4
Sutton et al. 2018
[30]		Mediumn = 8
Pre-diabetic overweighted men,
59 ± 9 years.		Early TRE 6/18
5-week controlled, randomized, isocaloric crossover trial with 7 weeks of wash-out		No difference in calorie intake (iso-caloric)↓ insulin (fasting, mean and peak)
↑ insulin sensitivity
↓ insulin resistance
↑ triglycerides
↓ blood pressure		↓ desire to eat
↓ 8-isoprostane
R5
Ravussin et al. 2019
[31]		Mediumn = 11
Healthy adults,
32 years.		Early TRE 6/18
4-day controlled, randomized, iso-caloric crossover trial with 3.5 to 5 weeks of wash-out		No difference in calorie intake (standardized meals)
Energy expenditure unchanged		 Nutrients 12 03770 i001↓ several aspects of hunger
↓ in morning ghrelin, leptin and GLP-1
↓ average ghrelin
↑ in evening PYY (satiety)
R6
Gabel et al. 2019
[32]		Lown = 23
Obese,
50 ± 2 years.		TRE 8/16
12-week single-arm trial.		Physical activity unchanged.
No measure of calorie intake		↓ 4% weight
↓ 5% fat mass		80% mean adherence.
R7 and 9
Gabel et al. 2018, 2014
[33,34]		Lown = 23
Obese,
50 ± 2 years.		Delayed TRE 8/16
12-week, non-randomized controlled trial with matched historical group.		↓ of 350 kcal/day
Physical activity unchanged.		↓ 2.6% of relative weight
↓ of relative BMI
↓ systolic blood pressure of 7 ± 2 mmHg		74% adherence rate. No one in the TRE group reported dropping out due to issues with the diet.
R8
Moro et al. 2016
[35]		Mediumn = 34
Adults who strength train,
29.21 ± 3.8 years.		TRE 8/16 + RT
8-week randomized controlled trial.
TRE + RT vs. RT		No difference in calorie intake between groups
No difference in physical activity during training sessions		↓ fat mass
↓ blood glucose levels
↓ insulin resistance
↓ triglycerides		↓ TNF-α
↓ IL-1 β
↓ IGF 1
↑ adiponectin
↓ respiratory ratio (lipid oxidation)
Conservation of muscular mass and strength
R10
Anton et al. 2019
[36]		Lown = 10
Overweighted elderly adults,
77.1 years.		TRE 8/16
4-week single-arm trial.		 Nutrients 12 03770 i001Mean weight ↓ of 2.6 kg↑ walking speed
Improvement in mental and physical function.
84% mean adherence.
R11
Hutchison et al. 2019
[37]		Mediumn = 15
Pre-diabetic men,
55 ± 3 years.		dTRE 9/15 vs. eTRE
1-week cross-over, randomized trial with 2 weeks of wash-out		No difference in physical activity
No measure of calorie intake		↓ glucose AUC and mean fasting glucose in eTRE
↓ triglycerides in two groups		No effect of TRF on perceived hunger, fullness, or desire to eat.
R12
Tinsley et al. 2016
[38]		Mediumn = 18
Adults who strength-train,
22 ± 2.4 years.		TRE 4/20 + RT vs. RT alone.
8-week randomized controlled trial.		↓ of 650 kcal/day between fasting days and non-fasting days
↓ weekly calorie intake		No significant change in weight and fat massConservation of lean mass, muscular volume and muscular strength.
95% mean adherence.
R13
Gasmi et al. 2017
[39]		Mediumn = 40
20 y (n = 40) vs. 50 years (n = 20)		TRE 12/12:
TRE 50 years + 20 years
Control 50 years + 20 years
12-week randomized, controlled trial.		No difference in calorie intake.No change in body composition and muscular function↓ immuno-senescence
R14
Tinsley et al. 2019
[40]		Mediumn = 40
Women who strength-train
18–30 years.		Delayed TRE 8/16
8-week randomized controlled trial.
-RT + placebo
-TRE + RT + placebo
-TRE + RT + HMB		↑ calorie intake from 20 to 200 kcal/day
No difference in physical activity and REE		↓ fat mass of 4%–7% in per protocol analysis for the 2 TRE groupsNo side effects in 90% of participants at the end of the protocol
R15
Gill et al. 2015
[41]		Lown= 8
Obese adults,
18 years.		TRE 10/14 every day,
3-week single-arm trial.
Smartphone-based assessment of caloric quantity and timing intake		↓ calorie intake of 20%↓ weight by 4%
↓ BMI by 1.15 kg/m2		↑ sleep quality
↓ hunger
R16
Lee et al. 2020
[42]		Lown = 10
Overweight sedentary elderly adults,
77.1 years.		TRE 8/16 every day with self-selection of eating window.
4-week single-arm trial.		 Nutrients 12 03770 i001 Nutrients 12 03770 i001Mean adherence of 84%.
R17
Kesztyüs et al. 2019
[43]		Lown = 40
Abdominally obese,
49.1 ± 12.4 years.		TRE 8/16 every day with self-selection of the food intake period
12-week single-arm trial.		 Nutrients 12 03770 i001↓ weight of 1.7 ± 2.5 kg
↓ BMI of 0.6 ± 0.9 kg/m2
↓ WC −5.3 ± 3.2 cm
↓ HbAc1 by 1.4 ± 3.5 mmol/mol		Mean adherence of 86 ± 15%
R18
Wilkinson et al. 2020
[44]		Lown = 19
Adults with MetS
59 ± 11 years.		TRE 10/14 every day with self-selection of the food intake period.
12-week single-arm trial.		↓ by 8.62% ± 14.47%.
No difference in physical activity.		↓ body weight (−3%)
↓ BMI (−3%)
↓ body fat (−3%)
↓ visceral fat rating (−3%)
↓ WC-4.46 ± 6.72 cm
↓ total cholesterol
↓ LDLc, ↓ non-HDLc
↓ systolic and diastolic BP		Mean adherence of 85 ± 12%.
63.2% participants were somehow engaged in TRE at 16 ± 4 months.
↑ in sleep duration by 12.45 min.
↑ in sleep duration and efficiency in 84% of participants.
R19
McAllister et al. 2019
[45]		Mediumn = 22
Physically active men,
22 ± 2.5 years.		TRE 8/16 every day ad libitum vs. Isocaloric (↓ 300 kcal from baseline).
4-week randomized controlled trial.		No difference in calorie intake↓ body mass in both groups
↓ body fat mass in both groups
↓ systolic BP in both groups
↑ HDLc in both groups		↑ adiponectin in both groups.
Improvement in subjective outcomes (alertness, energy, focus, mood) in ad libitum.
R20
Chow et al. 2020
[46]		Lown = 20
Overweight adults with prolonged eating window (15.4 ± 0.9 h/day).
45.5 ± 12 years.		TRE 8/16 ad libitum every day.
12-week controlled non-randomized trial.
TRE 8/16 group vs. non-TRE group.		No difference in physical activity.
No measure of calorie intake.		(1) vs. non-TRE group
↓ body weight
↓ lean mass
↓ visceral fat
(2) vs. preintervention measures
↓ body weight
↓ fat mass
↓ lean mass
↓ visceral fat		↓ of eating window in TRE group (9.9 ± 2 h) compared with non-TRE group.
Adherence in TRE: 83.1%
Correlation between restriction of eating window with fat and visceral masses loss
R21
Parr et al. 2020
[47]		Mediumn = 11
Overweight/obese and sedentary men.
38 ± 5 years.		TRE 8/16 every day vs. non-TRE (15 h/day).
5-day randomized crossover trial with a 10-day wash out period.		No difference in calorie intake (iso-caloric).
No difference in physical activity.		↓ nocturnal glucose AUC TRE group
↓ peak insulin concentrations at breakfast in TRE group
↓ peak glucose concentration at breakfast in TRE group		100% adherence. Improvement of subjective feelings (well-being and satisfaction)
↓ evening hunger in TRE group
R22
Parr et al. 2020
[48]		Lown = 19
Obese adults with T2D.
50 ± 9 years.		TRE 9/15 every day.
4-week singe-arm non-randomized trial		No difference in calorie intake.
Adherence to TRE reduces calorie intake.		NS.Mean compliance of 72 ± 24% (≅5 days/week).
R23
Miguet et al. 2020
[49]		Highn = 105
Overweight and obese adults.
46.5 ± 10.5 years.		dTRE 8/16 every day.
12-week controlled randomized trial.
TRE 8/16 vs. control group.		No difference in calorie intake.
No measure of physical activity.		↓ body weight in TRE group (1.17%) compared to baseline that was not significantly different from control group (0.75%).
☒: No measurement. NS: non-significant modification (p > 0.05). Abbreviations: AUC: area under the curve; BDNF: brain-derived neurotrophic factor; BP: blood pressure; HDLc: HDL cholesterol; HMB: hydroxy-methyl-butyrate supplementation; IL: interleukin; insulin R: insulin resistance; insulin-S: insulin sensitivity; LDLc: LDL cholesterol; MetS: metabolic syndrome; REE: resting energy expenditure; RT: resistance training; T2D: type 2 diabetes; WC: waist circumference.
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MDPI and ACS Style

Adafer, R.; Messaadi, W.; Meddahi, M.; Patey, A.; Haderbache, A.; Bayen, S.; Messaadi, N. Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health. Nutrients 2020, 12, 3770. https://doi.org/10.3390/nu12123770

AMA Style

Adafer R, Messaadi W, Meddahi M, Patey A, Haderbache A, Bayen S, Messaadi N. Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health. Nutrients. 2020; 12(12):3770. https://doi.org/10.3390/nu12123770

Chicago/Turabian Style

Adafer, Réda, Wassil Messaadi, Mériem Meddahi, Alexia Patey, Abdelmalik Haderbache, Sabine Bayen, and Nassir Messaadi. 2020. "Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health" Nutrients 12, no. 12: 3770. https://doi.org/10.3390/nu12123770

APA Style

Adafer, R., Messaadi, W., Meddahi, M., Patey, A., Haderbache, A., Bayen, S., & Messaadi, N. (2020). Food Timing, Circadian Rhythm and Chrononutrition: A Systematic Review of Time-Restricted Eating’s Effects on Human Health. Nutrients, 12(12), 3770. https://doi.org/10.3390/nu12123770

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