[Skip to Navigation]
Sign In
Visual Abstract. Effects of Time-Restricted Eating on Nonalcoholic Fatty Liver Disease
Effects of Time-Restricted Eating on Nonalcoholic Fatty Liver Disease
Figure 1.  Flowchart of Trial Participants
Flowchart of Trial Participants
Figure 2.  Effect of Time-Restricted Eating (TRE) vs Daily Calorie Restriction (DCR) on the Intrahepatic Triglyceride (IHTG) Content
Effect of Time-Restricted Eating (TRE) vs Daily Calorie Restriction (DCR) on the Intrahepatic Triglyceride (IHTG) Content

A, Change in IHTG content. Data are presented as estimated absolute change of IHTG content. Error bars represent 95% CIs. B, Percentage of IHTG content change for each participant. C, Change in liver stiffness. Data are presented as estimated absolute change of liver stiffness. Error bars represent 95% CIs. D, Percentage of patients with resolution of nonalcoholic fatty liver disease (NAFLD) at 6-month (P = .40) and 12-month (P = .31) assessment. Resolution of NAFLD is defined as IHTG content less than 5%.

Table 1.  Baseline Characteristics of Study Participants
Baseline Characteristics of Study Participants
Table 2.  Effects of Diets on Weight Loss and Body Composition
Effects of Diets on Weight Loss and Body Composition
Table 3.  Effects of Diets on Cardiovascular Risk Factors and Liver Enzymes
Effects of Diets on Cardiovascular Risk Factors and Liver Enzymes
1.
Stefan  N, Häring  HU, Cusi  K.  Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies.   Lancet Diabetes Endocrinol. 2019;7(4):313-324. doi:10.1016/S2213-8587(18)30154-2 PubMedGoogle ScholarCrossref
2.
Targher  G, Day  CP, Bonora  E.  Risk of cardiovascular disease in patients with nonalcoholic fatty liver disease.   N Engl J Med. 2010;363(14):1341-1350. doi:10.1056/NEJMra0912063 PubMedGoogle ScholarCrossref
3.
Li  J, Zou  B, Yeo  YH,  et al.  Prevalence, incidence, and outcome of non-alcoholic fatty liver disease in Asia, 1999-2019: a systematic review and meta-analysis.   Lancet Gastroenterol Hepatol. 2019;4(5):389-398. doi:10.1016/S2468-1253(19)30039-1 PubMedGoogle ScholarCrossref
4.
Younossi  Z, Anstee  QM, Marietti  M,  et al.  Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention.   Nat Rev Gastroenterol Hepatol. 2018;15(1):11-20. doi:10.1038/nrgastro.2017.109 PubMedGoogle ScholarCrossref
5.
Samji  NS, Verma  R, Satapathy  SK.  Magnitude of nonalcoholic fatty liver disease: Western perspective.   J Clin Exp Hepatol. 2019;9(4):497-505. doi:10.1016/j.jceh.2019.05.001 PubMedGoogle ScholarCrossref
6.
Zhou  F, Zhou  J, Wang  W,  et al.  Unexpected rapid increase in the burden of NAFLD in China from 2008 to 2018: a systematic review and meta-analysis.   Hepatology. 2019;70(4):1119-1133. doi:10.1002/hep.30702 PubMedGoogle ScholarCrossref
7.
Younossi  ZM, Koenig  AB, Abdelatif  D, Fazel  Y, Henry  L, Wymer  M.  Global epidemiology of nonalcoholic fatty liver disease—meta-analytic assessment of prevalence, incidence, and outcomes.   Hepatology. 2016;64(1):73-84. doi:10.1002/hep.28431 PubMedGoogle ScholarCrossref
8.
Musso  G, Gambino  R, Cassader  M, Pagano  G.  A meta-analysis of randomized trials for the treatment of nonalcoholic fatty liver disease.   Hepatology. 2010;52(1):79-104. doi:10.1002/hep.23623 PubMedGoogle ScholarCrossref
9.
Chalasani  N, Younossi  Z, Lavine  JE,  et al.  The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases.   Hepatology. 2018;67(1):328-357. doi:10.1002/hep.29367 PubMedGoogle ScholarCrossref
10.
Romero-Gómez  M, Zelber-Sagi  S, Trenell  M.  Treatment of NAFLD with diet, physical activity and exercise.   J Hepatol. 2017;67(4):829-846. doi:10.1016/j.jhep.2017.05.016 PubMedGoogle ScholarCrossref
11.
Larson-Meyer  DE, Heilbronn  LK, Redman  LM,  et al.  Effect of calorie restriction with or without exercise on insulin sensitivity, beta-cell function, fat cell size, and ectopic lipid in overweight subjects.   Diabetes Care. 2006;29(6):1337-1344. doi:10.2337/dc05-2565 PubMedGoogle ScholarCrossref
12.
de Cabo  R, Mattson  MP.  Effects of intermittent fasting on health, aging, and disease.   N Engl J Med. 2019;381(26):2541-2551. doi:10.1056/NEJMra1905136 PubMedGoogle ScholarCrossref
13.
Patterson  RE, Sears  DD.  Metabolic effects of intermittent fasting.   Annu Rev Nutr. 2017;37:371-393. doi:10.1146/annurev-nutr-071816-064634 PubMedGoogle ScholarCrossref
14.
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(6):991-1005. doi:10.1016/j.cmet.2014.11.001 PubMedGoogle ScholarCrossref
15.
Hatori  M, Vollmers  C, Zarrinpar  A,  et al.  Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet.   Cell Metab. 2012;15(6):848-860. doi:10.1016/j.cmet.2012.04.019 PubMedGoogle ScholarCrossref
16.
Ruge  T, Hodson  L, Cheeseman  J,  et al.  Fasted to fed trafficking of fatty acids in human adipose tissue reveals a novel regulatory step for enhanced fat storage.   J Clin Endocrinol Metab. 2009;94(5):1781-1788. doi:10.1210/jc.2008-2090 PubMedGoogle ScholarCrossref
17.
Kahleova  H, Lloren  JI, Mashchak  A, Hill  M, Fraser  GE.  Meal frequency and timing are associated with changes in body mass index in Adventist Health Study 2.   J Nutr. 2017;147(9):1722-1728. doi:10.3945/jn.116.244749 PubMedGoogle ScholarCrossref
18.
Lopez-Minguez  J, Gómez-Abellán  P, Garaulet  M.  Timing of breakfast, lunch, and dinner: effects on obesity and metabolic risk.   Nutrients. 2019;11(11):2624. doi:10.3390/nu11112624 PubMedGoogle ScholarCrossref
19.
Cienfuegos  S, Gabel  K, Kalam  F,  et al.  Effects of 4- and 6-h time-restricted feeding on weight and cardiometabolic health: a randomized controlled trial in adults with obesity.   Cell Metab. 2020;32(3):366-378.e3. doi:10.1016/j.cmet.2020.06.018 PubMedGoogle ScholarCrossref
20.
Wilkinson  MJ, Manoogian  ENC, Zadourian  A,  et al.  Ten-hour time-restricted eating reduces weight, blood pressure, and atherogenic lipids in patients with metabolic syndrome.   Cell Metab. 2020;31(1):92-104.e5. doi:10.1016/j.cmet.2019.11.004 PubMedGoogle ScholarCrossref
21.
Gabel  K, Hoddy  KK, Haggerty  N,  et al.  Effects of 8-hour time restricted feeding on body weight and metabolic disease risk factors in obese adults: a pilot study.   Nutr Healthy Aging. 2018;4(4):345-353. doi:10.3233/NHA-170036 PubMedGoogle ScholarCrossref
22.
Sutton  EF, Beyl  R, Early  KS, Cefalu  WT, Ravussin  E, Peterson  CM.  Early time-restricted feeding improves insulin sensitivity, blood pressure, and oxidative stress even without weight loss in men with prediabetes.   Cell Metab. 2018;27(6):1212-1221.e3. doi:10.1016/j.cmet.2018.04.010 PubMedGoogle ScholarCrossref
23.
Kahleova  H, Belinova  L, Malinska  H,  et al.  Eating two larger meals a day (breakfast and lunch) is more effective than six smaller meals in a reduced-energy regimen for patients with type 2 diabetes: a randomised crossover study.   Diabetologia. 2014;57(8):1552-1560. doi:10.1007/s00125-014-3253-5 PubMedGoogle ScholarCrossref
24.
Eckel  RH, Jakicic  JM, Ard  JD,  et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines.  2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.   J Am Coll Cardiol. 2014;63(25, pt B):2960-2984. doi:10.1016/j.jacc.2013.11.003 PubMedGoogle ScholarCrossref
25.
The Chinese Nutrition Society.  Dietary Guidelines for Chinese Residents. People's Medical Publishing House; 2016.
26.
Yang  Y.  China Food Composition Tables Standard Edition. 6th ed. Beijing University Medical Press; 2018.
27.
Kukuk  GM, Hittatiya  K, Sprinkart  AM,  et al.  Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis.   Eur Radiol. 2015;25(10):2869-2879. doi:10.1007/s00330-015-3703-6 PubMedGoogle ScholarCrossref
28.
Serai  SD, Dillman  JR, Trout  AT.  Proton density fat fraction measurements at 1.5- and 3-T hepatic MR imaging: same-day agreement among readers and across two imager manufacturers.   Radiology. 2017;284(1):244-254. doi:10.1148/radiol.2017161786 PubMedGoogle ScholarCrossref
29.
Zhang  Y, Wang  C, Duanmu  Y,  et al.  Comparison of CT and magnetic resonance mDIXON-Quant sequence in the diagnosis of mild hepatic steatosis.   Br J Radiol. 2018;91(1091):20170587. doi:10.1259/bjr.20170587 PubMedGoogle ScholarCrossref
30.
Tong  Y, Udupa  JK, Torigian  DA.  Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: a novel approach.   Med Phys. 2014;41(6):063501. doi:10.1118/1.4876275 PubMedGoogle ScholarCrossref
31.
Craig  CL, Marshall  AL, Sjöström  M,  et al.  International Physical Activity questionnaire: 12-country reliability and validity.   Med Sci Sports Exerc. 2003;35(8):1381-1395. doi:10.1249/01.MSS.0000078924.61453.FB PubMedGoogle ScholarCrossref
32.
Ware  J  Jr, Kosinski  M, Keller  SDA.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.   Med Care. 1996;34(3):220-233. doi:10.1097/00005650-199603000-00003PubMedGoogle ScholarCrossref
33.
Hirschtritt  ME, Kroenke  K.  Screening for Depression.   JAMA. 2017;318(8):745-746. doi:10.1001/jama.2017.9820PubMedGoogle ScholarCrossref
34.
Buysse  DJ, Reynolds  CF  III, Monk  TH, Berman  SR, Kupfer  DJ.  The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research.   Psychiatry Res. 1989;28(2):193-213. doi:10.1016/0165-1781(89)90047-4PubMedGoogle ScholarCrossref
35.
Kahleova  H, Belinova  L, Malinska  H,  et al.  Erratum to: eating two larger meals a day (breakfast and lunch) is more effective than six smaller meals in a reduced-energy regimen for patients with type 2 diabetes: a randomised crossover study.   Diabetologia. 2015;58(1):205. doi:10.1007/s00125-014-3411-9 PubMedGoogle ScholarCrossref
36.
Pellegrini  M, Cioffi  I, Evangelista  A,  et al.  Effects of time-restricted feeding on body weight and metabolism: a systematic review and meta-analysis.   Rev Endocr Metab Disord. 2020;21(1):17-33. doi:10.1007/s11154-019-09524-w PubMedGoogle ScholarCrossref
37.
Stote  KS, Baer  DJ, Spears  K,  et al.  A controlled trial of reduced meal frequency without caloric restriction in healthy, normal-weight, middle-aged adults.   Am J Clin Nutr. 2007;85(4):981-988. doi:10.1093/ajcn/85.4.981 PubMedGoogle ScholarCrossref
38.
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(12):2854. doi:10.3390/nu11122854 PubMedGoogle ScholarCrossref
39.
Cai  H, Qin  YL, Shi  ZY,  et al.  Effects of alternate-day fasting on body weight and dyslipidaemia in patients with non-alcoholic fatty liver disease: a randomised controlled trial.   BMC Gastroenterol. 2019;19(1):219. doi:10.1186/s12876-019-1132-8 PubMedGoogle ScholarCrossref
40.
de Oliveira Maranhão Pureza  IR, da Silva Junior  AE, Silva Praxedes  DR,  et al.  Effects of time-restricted feeding on body weight, body composition and vital signs in low-income women with obesity: a 12-month randomized clinical trial.   Clin Nutr. 2021;40(3):759-766. doi:10.1016/j.clnu.2020.06.036 PubMedGoogle ScholarCrossref
41.
Lowe  DA, Wu  N, Rohdin-Bibby  L,  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(11):1491-1499. doi:10.1001/jamainternmed.2020.4153 PubMedGoogle ScholarCrossref
42.
Antoni  R, Robertson  TM, Robertson  MD, Johnston  JD.  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):1-6. doi:10.1017/jns.2018.13Google ScholarCrossref
43.
Stratton  MT, Tinsley  GM, Alesi  MG,  et al.  Four weeks of time-restricted feeding combined with resistance training does not differentially influence measures of body composition, muscle performance, resting energy expenditure, and blood biomarkers.   Nutrients. 2020;12(4):1126. doi:10.3390/nu12041126 PubMedGoogle ScholarCrossref
44.
Chow  LS, Manoogian  ENC, Alvear  A,  et al.  Time-restricted eating effects on body composition and metabolic measures in humans who are overweight: a feasibility study.   Obesity (Silver Spring). 2020;28(5):860-869. doi:10.1002/oby.22756 PubMedGoogle ScholarCrossref
45.
Haganes  KL, Silva  CP, Eyjólfsdóttir  SK,  et al.  Time-restricted eating and exercise training improve HbA1c and body composition in women with overweight/obesity: a randomized controlled trial.   Cell Metab. 2022;34(10):1457-1471.e4. doi:10.1016/j.cmet.2022.09.003 PubMedGoogle ScholarCrossref
46.
Eddowes  PJ, Sasso  M, Allison  M,  et al.  Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease.   Gastroenterology. 2019;156(6):1717-1730. doi:10.1053/j.gastro.2019.01.042 PubMedGoogle ScholarCrossref
47.
Noureddin  M, Lam  J, Peterson  MR,  et al.  Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials.   Hepatology. 2013;58(6):1930-1940. doi:10.1002/hep.26455 PubMedGoogle ScholarCrossref
Original Investigation
Gastroenterology and Hepatology
March 17, 2023

Effects of Time-Restricted Eating on Nonalcoholic Fatty Liver Disease: The TREATY-FLD Randomized Clinical Trial

Author Affiliations
  • 1Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 2Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 3Department of Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
  • 4Department of Nutrition, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 5Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
JAMA Netw Open. 2023;6(3):e233513. doi:10.1001/jamanetworkopen.2023.3513
Key Points

Question  Is time-restricted eating more effective in improving nonalcoholic fatty liver disease than daily calorie restriction?

Findings  In this randomized clinical trial including 88 patients with obesity and nonalcoholic fatty liver disease, the intrahepatic triglyceride content was reduced by 6.9% in the time-restricted eating group and 7.9% in the daily calorie restriction group during 12 months, but with no significant between-group differences. Time-restricted eating also did not produce additional benefits for reducing body fat or major metabolic risk factors compared with daily calorie restriction.

Meaning  The findings of this randomized clinical trial support the importance of caloric restriction with use of time-restricted eating among adults with obesity and nonalcoholic fatty liver disease.

Abstract

Importance  The efficacy and safety of time-restricted eating (TRE) on nonalcoholic fatty liver disease (NAFLD) remain uncertain.

Objective  To compare the effects of TRE vs daily calorie restriction (DCR) on intrahepatic triglyceride (IHTG) content and metabolic risk factors among patients with obesity and NAFLD.

Design, Setting, and Participants  This 12-month randomized clinical trial including participants with obesity and NAFLD was conducted at the Nanfang Hospital in Guangzhou, China, between April 9, 2019, and August 28, 2021.

Interventions  Participants with obesity and NAFLD were randomly assigned to TRE (eating only between 8:00 am and 4:00 pm) or DCR (habitual meal timing). All participants were instructed to maintain a diet of 1500 to 1800 kcal/d for men and 1200 to 1500 kcal/d for women for 12 months.

Main Outcomes and Measures  The primary outcome was change in IHTG content measured by magnetic resonance imaging; secondary outcomes were changes in body weight, waist circumference, body fat, and metabolic risk factors. Intention-to-treat analysis was used.

Results  A total of 88 eligible patients with obesity and NAFLD (mean [SD] age, 32.0 [9.5] years; 49 men [56%]; and mean [SD] body mass index, 32.2 [3.3]) were randomly assigned to the TRE (n = 45) or DCR (n = 43) group. The IHTG content was reduced by 8.3% (95% CI, −10.0% to −6.6%) in the TRE group and 8.1% (95% CI, −9.8% to −6.4%) in the DCR group at the 6-month assessment. The IHTG content was reduced by 6.9% (95% CI, −8.8% to −5.1%) in the TRE group and 7.9% (95% CI, −9.7% to −6.2%) in the DCR group at the 12-month assessment. Changes in IHTG content were comparable between the 2 groups at 6 months (percentage point difference: −0.2; 95% CI, −2.7 to 2.2; P = .86) and 12 months (percentage point difference: 1.0; 95% CI, −1.6 to 3.5; P = .45). In addition, liver stiffness, body weight, and metabolic risk factors were significantly and comparably reduced in both groups.

Conclusions and Relevance  Among adults with obesity and NAFLD, TRE did not produce additional benefits for reducing IHTG content, body fat, and metabolic risk factors compared with DCR. These findings support the importance of caloric intake restriction when adhering to a regimen of TRE for the management of NAFLD.

Trial Registration  ClinicalTrials.gov Identifiers: NCT03786523 and NCT04988230

Introduction

Nonalcoholic fatty liver disease (NAFLD) has become a major worldwide public health challenge.1 It affects approximately 20% to 30% of adults in the general population, and more than 70% of patients with obesity and diabetes have NAFLD.2-5 Approximately 29.2% of adults in the general population have NAFLD in China.6 It is closely related to obesity, type 2 diabetes, hyperlipidemia, and hypertension and has been associated with an increased risk of cardiovascular diseases.1,7 Weight loss via lifestyle modifications has been documented to improve liver fat and metabolic disorders.8

Dietary calorie restriction has been proven to be effective in reducing weight and intrahepatic lipid levels among patients with NAFLD.9-11 Nevertheless, long-term adherence to lifestyle modification is difficult. Time-restricted eating (TRE) is one of the most popular intermittent fasting regimens involving a specific eating period within a 24-hour cycle. The TRE regimen has gained attention because it reduces weight and enhances adherence.12,13 Studies in rodents suggest that food timing rather than calorie intake underlies the beneficial effects of TRE regimen.14,15 Evidence indicates that fat storage increases during the day and is the greatest after an evening meal.16 Observational studies suggest that eating meals later in the day may be associated with the success of weight loss therapy in humans.17,18 Several pilot clinical trials reported that TRE can result in reduced calorie intake and is associated with a decrease in body weight and fat mass in individuals with obesity.19-22 However, most of the reported benefits of TRE are either untested or undertested in humans and cannot isolate the effects of TRE itself. A small clinical trial reported that the regimen of eating 2 meals (eating periods from 6:00 am to 4:00 pm) reduced intrahepatic lipids measured by proton magnetic resonance spectroscopy compared with the control regimen (eating 6 smaller meals) among 54 patients with type 2 diabetes during 12 weeks’ intervention.23 To date, the efficacy of TRE on NAFLD is uncertain. Furthermore, to our knowledge, no studies compared the effects of TRE and daily calorie restriction (DCR) on intrahepatic lipid levels in patients with NAFLD.

The Time Restricted Feeding on Nonalcoholic Fatty Liver Disease (TREATY-FLD) randomized clinical trial aimed to compare the effects of TRE vs DCR on intrahepatic triglyceride (IHTG) content and metabolic risk factors among patients with obesity and NAFLD. We hypothesized that 8-hour TRE would be more effective than DCR in improving NAFLD and metabolic risk factors.

Methods
Study Design

This randomized, parallel-group, observer-blinded clinical trial was designed to compare the effects of 8-hour TRE vs DCR on the IHTG content and metabolic risk factors among patients with NAFLD. Eligible trial participants were randomly assigned to the TRE or DCR program for 12 months. The duration of intervention of the original study design was 6 months (registered as NCT03786523); at the beginning of the study, we revised the design and prolonged the intervention to 12 months to compare the long-term effects of TRE vs DCR on NAFLD (registered separately as NCT04988230). The duration of the intervention included the original designed 6 months and the next 6 months follow-up visits. The trial protocol and statistical analysis plan are available in Supplement 1. Patient recruitment and intervention were conducted from April 9, 2019, through August 28, 2021, at the Nanfang Hospital in Guangzhou, China. The trial was overseen by a steering committee affiliated with the Southern Medical University Institutional Review Board. The study protocol and informed consent form were approved by institutional review boards of the Nanfang Hospital of Southern Medical University. All patients provided written informed consent before enrollment; no financial compensation was provided. The study follows the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline for randomized clinical trials.

Participants

All study participants were recruited from the public via promotional leaflets, posters, internet, and community screenings. All interested persons were prescreened to identify potential individuals aged 18 to 75 years with obesity (body mass index [BMI] between 28.0 and 45.0 [calculated as weight in kilograms divided by height in meters squared]) and ultrasonography-diagnosed NAFLD. After the prescreening, potential participants were invited to attend a screening magnetic resonance imaging examination at the study clinic. Those who had NAFLD confirmed by magnetic resonance imaging (IHTG content ≥5%) were enrolled in this study. Among the criteria for exclusion were acute or chronic viral hepatitis, drug-induced liver disease, autoimmune hepatitis, diabetes, serious liver dysfunction, chronic kidney disease, excessive alcohol consumption (>20 g/d for women or >30 g/d for men), serious cardiovascular or cerebrovascular disease within 6 months, severe gastrointestinal diseases or gastrointestinal surgery in the past 12 months, active participation in a weight loss program, use of medications that affect weight or energy balance, and current or planned pregnancy.

Randomization and Blinding

Eligible participants were randomly assigned to the TRE or DCR group with an allocation ratio of 1:1. Randomization was conducted in a block size of 6. The computer-generated randomization sequence was prepared by an independent researcher who was not involved in the study. Investigators who assessed the study outcomes and analyzed the data were blinded to the group assignment.

Intervention Programs

All participants were instructed to follow a diet of 1500 to 1800 kcal/d for men and 1200 to 1500 kcal/d for women. The diets were composed of 40% to 55% carbohydrate, 15% to 20% protein, and 20% to 30% fat.24 All participants were provided with 1 protein shake (Nutriease; Zhejiang Nutriease Co) per day for the first 6 months and received dietary counseling for the duration of the study. Participants assigned to the TRE group were instructed to consume the prescribed calories from 8:00 am to 4:00 pm every day, and only noncaloric beverages were permitted outside of the daily eating window. Participants in the DCR group had no eating time restriction during the 12-month study period.

Dietary counseling was conducted by trained nutritionists. Participants received written dietary information booklets, which had food portion advice and sample menus of similar dietary energy restrictions in accordance with the Dietary Guidelines for macronutrient intake.24,25 Participants were encouraged to weigh foods to ensure accuracy of intake. All participants were required to write a dietary log and record daily food pictures and mealtimes on a custom mobile study application. All participants received follow-up telephone calls or a text message through the study app about their energy intake twice per week. The trained nutritionists also met with study participants individually every 2 weeks to assess their adherence to the program and provide suggestions for improvements and personalized energy targets during the first 6 months of the trial. Participants were instructed to maintain their diet regimens during the next 6-month follow-up visit and write in their dietary log and record food pictures and mealtimes 3 times per week. In this phase, participants received follow-up telephone calls or a text message through the study app once per week and met with the nutritionist monthly. Dietary intake and mealtimes were assessed daily using each participant’s log and timely recorded food photographs based on the nutrient content listed in the China Food Composition Tables.26 All participants attended health education sessions monthly over 12 months and were instructed not to change their physical activity habits throughout the trial.

Adherence to the Intervention Programs

Adherence to the diet program was evaluated as days that participants met the requirements of the diet program. In the TRE group, participants were required to both eat within the prescribed eating period and meet the daily caloric intake goal. In the DCR group, participants were required to consume the prescribed daily energy amount.

Outcomes

The primary outcome was change in the IHTG content from baseline to 6 and 12 months. The IHTG content was measured using magnetic resonance imaging (Ingenia 3.0T mDIXON Quant; Philips Healthcare)27-29 at baseline, 6 months, and 12 months. The secondary outcomes were changes in body weight, BMI, waist circumference, body fat mass, lean mass, liver stiffness, liver enzyme levels, and other metabolic risk factors, including plasma glucose levels, serum lipid levels, and blood pressure. Body fat mass and lean mass were quantified using a whole-body dual x-ray system (Lunar iDXA; GE Healthcare). Abdominal visceral fat and subcutaneous fat areas were measured by computed tomography (Revolution; GE Healthcare) at the level of the lumbar vertebrae.30 Liver stiffness was assessed by transient elastography (FibroScan 502 Touch; Echosens). Metabolic risk factors and liver enzyme levels were measured using standard methods at baseline and the 6- and 12-month follow-up visits.

Nutrient intake was estimated by 3 consecutive 24-hour dietary recalls (2 weekdays and 1 weekend day) at baseline and 6 months. Nutrient intake was calculated based on the China Food Composition Tables. Physical activity was assessed using the International Physical Activity Questionnaire at baseline, 6 months, and 12 months.31 Additional outcomes included quality of life as measured according to the 12-item Short-Form Health Survey Questionnaire (SF-12),32 depressive symptoms as measured by the Patient Health Questionnaire-9,33 and sleep quality as measured by the Pittsburgh Sleep Quality Index.34

Statistical Analysis

We estimated that with a sample size of 68 individuals, the trial would provide greater than 90% statistical power to detect a significant difference of 0.8% (unit value) in the reduction of IHTG content (SD, 1.0%) between the TRE group and the DCR group at a significance level of .05 using a 2-tailed test. The expected group difference and SD of reduction in IHTG content were based on preliminary data for comparison between the TRE regimen with caloric intake restriction and regular caloric intake (no time restriction).23,35 Accounting for an 80% follow-up rate, a total of 88 participants were enrolled in this trial.

Data were analyzed according to participants’ randomization assignment (intention-to-treat). PROC MIXED of SAS statistical software, version 9.4 (SAS Institute Inc) was used to obtain point estimates and SEs of the treatment effects and to test for differences between treatments. Group differences in the study outcomes were evaluated using the general linear model for continuous variables and the χ2 test for categorical variables. We also used a linear mixed-effects model to compare the effects of the 2 diet programs on the IHTG content and main outcomes. In the linear mixed model, an autoregressive correlation matrix was used to correct within-participant correlation for repeated measurements, participants were treated as a random effect, and intervention group, follow-up time, and their 2-factor interactions were assumed to be estimable fixed effects. Missing data were handled by multiple imputations (n = 20) at random using the Markov chain Monte Carlo method. Data are presented as least-squares means with 95% CIs for continuous variables and risk ratios for categorical outcomes. P < .05 was considered statistically significant.

Results

A total of 88 eligible patients with obesity and NAFLD (mean [SD] age, 32.0 [9.5] years; 49 men [56%]; 39 women [44%]; and mean [SD] BMI, 32.2 [3.3]) were randomly assigned to the TRE (n = 45) or DCR (n = 43) group (Figure 1). Of those participants, 81 (92%) completed the 6-month intervention and 74 (84%) completed the entire 12-month intervention. Baseline characteristics had comparable distribution between the TRE and DCR groups (Table 1).

The mean (SD) percentage of days that participants adhered to both the prescribed calories and eating period was 85.0% (10.7%) in the TRE group and 85.7% (9.4%) in the DCR group during 12 months (eTable 1 in Supplement 2). The average daily energy deficit and percentage of energy intake from carbohydrates, fat, and protein were similar in the 2 groups during 12 months. By design, the mean daily eating duration in the TRE group was significantly shorter than that of the DCR group. Physical activity was also similar between the 2 diet groups and was stable during 12 months. Scores on the SF-12 physical and mental components, Patient Health Questionnaire-9 depression module, and Pittsburgh Sleep Quality Index were similar in the 2 groups.

Primary Outcome

The IHTG content was reduced by 8.3% (95% CI, −10.0% to −6.6%) at 6 months and 6.9% (95% CI, −8.8% to −5.1%) at 12 months in the TRE group. Likewise, it was reduced by 8.1% (95% CI, −9.8% to −6.4%) at the 6-month assessment and 7.9% (95% CI, −9.7% to −6.2%) at 12 months in the DCR group. However, the net change in IHTG content was not significantly different between the groups at the 6-month (percentage point difference: −0.2; 95% CI, −2.7 to 2.2; P = .86) or 12-month (percentage point difference: 1.0; 95% CI, −1.6 to 3.5; P = .45) assessments (Figure 2). Liver stiffness was reduced by 2.1 kPa (95% CI, −2.7 to −1.6 kPa) in the TRE group and 1.7 kPa (95% CI, −2.3 to −1.2 kPa) in the DCR group at 12 months, with no significant difference between the 2 groups (P = .33). The percentages of participants with resolution of NAFLD (defined as IHTG content <5%) at month 12 were similar in the 2 groups (TRE group, 33% vs DCR group, 49%; P = .31). Sensitivity analysis using multiple imputed data showed similar results for the primary outcomes (eTable 2 in Supplement 2). Furthermore, the IHTG content reductions were similar for the 2 regimens when assessed according to adherence to the prescribed diet (eFigure 1 in Supplement 2).

Weight Loss and Body Fat

During the 12-month intervention, body weight was significantly reduced by 8.4 kg (95% CI, −10.3 to −6.4 kg) in the TRE group and 7.8 kg (95% CI, −9.7 to −5.9 kg) in the DCR group, with no significant between-group differences (−0.6 kg; 95% CI, −3.3 to 2.2 kg; P = .69) (Table 2; eFigure 2 in Supplement 2). Likewise, waist circumference, body fat percentage, fat mass, lean mass, total abdominal fat, subcutaneous fat, visceral fat, and visceral to subcutaneous fat ratio were all significantly reduced in the 2 groups, with no significant between-group differences.

Metabolic Risk Factors and Liver Enzymes

Metabolic risk factors, including systolic and diastolic blood pressure, pulse rate, and total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels were all significantly improved in the 2 groups over 12 months, with no significant between-group differences (Table 3). Both diets significantly reduced fasting plasma glucose level, hemoglobin A1c, and homeostasis model assessment of insulin resistance (HOMA-IR) at 6 months, and TRE significantly reduced HOMA-IR compared with DCR at 12 months. Similarly, both diets significantly reduced levels of liver enzymes, including serum alanine aminotransferase, aspartate aminotransferase, and γ-glutamyltransferase, with no significant between-group differences.

Adverse Events

No deaths or serious adverse events occurred throughout the study. Occurrence of mild adverse events, including appetite change, discomfort in the stomach, constipation, dyspepsia, hunger, decreased appetite, dizziness, and fatigue, were not significantly different in the 2 groups (eTable 3 in Supplement 2).

Discussion

This randomized clinical trial contributes novel findings on the effects of TRE vs DCR on NAFLD. First, this study indicated that the 8-hour TRE diet (eating period from 8:00 am to 4:00 pm) was no more effective in reducing the IHTG content and in achieving resolution of NAFLD among patients with NAFLD than DCR (habitual meal timing) with the same caloric intake restriction. Second, TRE and DCR diets produced comparable effects in reducing body weight, waist circumference, body fat, and visceral fat. Furthermore, both diets were equally effective in reducing blood pressure, plasma glucose level, HOMA-IR, liver enzyme levels, and lipid levels during 12 months. Third, caloric intake restriction seems to explain most of the beneficial effects of the TRE regimen.

Time-restricted eating has been promoted as a potential alternative weight loss strategy to DCR.13,36 However, the benefits of the TRE regimen on NAFLD are still untested or undertested in humans. Time-restricted eating regimens have either imposed a shortening window of eating while maintaining participants’ usual caloric intake22,37 or hypoenergetic intake.38 Cai et al39 reported that TRE with ad libitum intake did not improve liver stiffness compared with the control during a 12-week diet program among 176 patients with NAFLD. Kahleova and colleagues23 reported that a regimen of eating 2 meals (between 6:00 am and 4:00 pm) reduced IHTG content more than a regimen of eating 6 meals with the same caloric intake restriction in a 12-week clinical trial among 54 patients with obesity and type 2 diabetes. So far, the long-term effect of TRE on NAFLD remains uncertain.

To our knowledge, this study is the first randomized clinical trial to compare the long-term effect of TRE vs DCR on NAFLD. This trial showed that the 2 diet regimens had similar effects on reducing IHTG content and improving liver stiffness and that it was feasible for participants to adhere to their assigned calorie intake restrictions. Both diets with an energy intake of 1200 to 1800 kcal/d resulted in nearly 40% resolution of NAFLD. Furthermore, the results suggest that caloric intake restriction explained most of the beneficial effects of a TRE regimen. These findings support a strategy of TRE combined with caloric intake restriction (prescribed according to current dietary guidelines) as a viable and sustainable approach for NAFLD management.

Several small clinical trials assessed the effects of short-term TRE on weight and waist circumference in obese populations and reported inconsistent findings.19,21,38-41 Lowe and colleagues41 reported that short-term TRE had no favorable benefits on reducing body weight and waist circumference reduction among 116 adults with obesity. In contrast, Cai et al39 found that 12-week TRE significantly reduced body weight in 97 patients with NAFLD compared with the controls. Evidence suggests that the effect of TRE with ad libitum intake on weight loss appeared to be likely associated with a decrease in energy intake.19,42,43 Nevertheless, small clinical trials reported that the TRE regimens with isoenergetic intake improved body weight in healthy adults and select metabolic parameters in men with prediabetes.22,37,40 By contrast, another study reported no differences in body weight and waist circumference during a 12-month TRE diet program with caloric intake restriction in 58 low-income women with obesity compared with the controls.40 Our data indicate that both diet regimens equally reduced body weight and waist circumference and were feasible for participants to adhere to their assigned intervention in terms of energy intake restriction. However, there were no substantial differences in weight and waist circumference between TRE and DCR during the 12-month intervention. Our study suggests that long-term TRE and DCR might be equally effective and could be recommended for weight loss in individuals with obesity.

In this trial, TRE and DCR significantly reduced body fat and visceral fat with no significant between-group differences. Several small, short-term studies reported that the TRE regimen significantly reduced body fat mass.19,40,44,45 In contrast, de Oliveira Maranhão Pureza and colleagues40 compared the effect of a 12-month TRE program vs hypoenergetic diet and reported no differences in body fat in 58 women with obesity. A meta-analysis of clinical trials also suggested that TRE seems to have no favorable effect on body fat reduction compared with the controls.36 Our study suggests that TRE is no more effective than DCR in body fat and visceral fat reduction among individuals with obesity.

In addition, our study indicated that there were no significant differences between TRE and DCR on cardiovascular risk factors, including blood pressure, fasting glucose levels, and lipid levels. Other studies found that short-term TRE improved glycemic control, insulin sensitivity, and blood pressure in individuals with prediabetes or adults with obesity.19,22 By contrast, Haganes et al45 reported no statistically significant effect of TRE on glycemic control in women with obesity. However, these trials did not compare the effects of TRE vs DCR on metabolic risk factors in individuals with obesity. Our data showed that TRE was more effective for improving insulin sensitivity than DCR.

Limitations

This study has limitations. First, the primary outcome was the IHTG content instead of biopsy-proven steatosis or fibrosis. However, the IHTG content measured by magnetic resonance imaging and liver stiffness measured by transient elastography are highly correlated with the histologic features of steatosis and fibrosis.46,47 Furthermore, physical activity was not controlled in this study because we aimed to examine isolated effects of diet intake on NAFLD. However, physical activity was assessed using the International Physical Activity Questionnaire.

Conclusions

In this randomized clinical trial of adults with obesity and NAFLD, a TRE regimen did not achieve additional benefits for reducing IHTG content, weight, body fat, and metabolic risk factors compared with DCR, whereas TRE might be more effective in improving insulin sensitivity than DCR. In addition, both diets produced a comparable effect on liver stiffness and resolution of NAFLD. These data support the importance of caloric intake restriction when adhering to a regimen of TRE for the management of NAFLD.

Back to top
Article Information

Accepted for Publication: January 31, 2023.

Published: March 17, 2023. doi:10.1001/jamanetworkopen.2023.3513

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Wei X et al. JAMA Network Open.

Corresponding Authors: Huijie Zhang, MD, PhD (huijiezhang2005@126.com), Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, and Yikai Xu, MD, PhD (yikaivip@163.com), Imaging Center, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangdong 510515, China.

Author Contributions: Drs Y. Xu and H. Zhang had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Wei and B. Lin, and Mrs Y. Huang contributed equally to this work.

Concept and design: Wei, D. Liu, He, H. Zhang.

Acquisition, analysis, or interpretation of data: B. Lin, Y. Huang, Yang, C. Huang, Shi, P. Zhang, J. Lin, B. Xu, Guo, Li, He, S. Liu, Xue, Y. Xu, H. Zhang.

Drafting of the manuscript: Wei, Y. Huang, D. Liu, H. Zhang.

Critical revision of the manuscript for important intellectual content: B. Lin, Y. Huang, Yang, C. Huang, Shi, P. Zhang, J. Lin, B. Xu, Guo, Li, He, S. Liu, Xue, Y. Xu, H. Zhang.

Statistical analysis: Wei, B. Lin, C. Huang, D. Liu, J. Lin, Li, He.

Obtained funding: H. Zhang.

Administrative, technical, or material support: Y. Huang, Shi, D. Liu, B. Xu, S. Liu, Xue, Y. Xu, H. Zhang.

Supervision: P. Zhang, Guo, H. Zhang.

Conflict of Interest Disclosures: None reported.

Funding/Support: This study was supported by grants from the National Key Research and Development Project (2018YFA0800404), Joint Funds of the National Natural Science Foundation of China (U22A20288), National Natural Science Foundation of China (81970736), and Key-Area Clinical Research Program of Southern Medical University (LC2019ZD010 and 2019CR022).

Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 3.

Additional Contributions: We acknowledge gratefully the contribution of all study staff and nutritionists (Mr Haibin Dai and Mss Yatong Lie and Xinmiao Wu, Zhejiang Nutriease Co Ltd, China). We also acknowledge the editorial assistance of Dr Shenxu Li (Children's Hospitals and Clinics of Minnesota).

References
1.
Stefan  N, Häring  HU, Cusi  K.  Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies.   Lancet Diabetes Endocrinol. 2019;7(4):313-324. doi:10.1016/S2213-8587(18)30154-2 PubMedGoogle ScholarCrossref
2.
Targher  G, Day  CP, Bonora  E.  Risk of cardiovascular disease in patients with nonalcoholic fatty liver disease.   N Engl J Med. 2010;363(14):1341-1350. doi:10.1056/NEJMra0912063 PubMedGoogle ScholarCrossref
3.
Li  J, Zou  B, Yeo  YH,  et al.  Prevalence, incidence, and outcome of non-alcoholic fatty liver disease in Asia, 1999-2019: a systematic review and meta-analysis.   Lancet Gastroenterol Hepatol. 2019;4(5):389-398. doi:10.1016/S2468-1253(19)30039-1 PubMedGoogle ScholarCrossref
4.
Younossi  Z, Anstee  QM, Marietti  M,  et al.  Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention.   Nat Rev Gastroenterol Hepatol. 2018;15(1):11-20. doi:10.1038/nrgastro.2017.109 PubMedGoogle ScholarCrossref
5.
Samji  NS, Verma  R, Satapathy  SK.  Magnitude of nonalcoholic fatty liver disease: Western perspective.   J Clin Exp Hepatol. 2019;9(4):497-505. doi:10.1016/j.jceh.2019.05.001 PubMedGoogle ScholarCrossref
6.
Zhou  F, Zhou  J, Wang  W,  et al.  Unexpected rapid increase in the burden of NAFLD in China from 2008 to 2018: a systematic review and meta-analysis.   Hepatology. 2019;70(4):1119-1133. doi:10.1002/hep.30702 PubMedGoogle ScholarCrossref
7.
Younossi  ZM, Koenig  AB, Abdelatif  D, Fazel  Y, Henry  L, Wymer  M.  Global epidemiology of nonalcoholic fatty liver disease—meta-analytic assessment of prevalence, incidence, and outcomes.   Hepatology. 2016;64(1):73-84. doi:10.1002/hep.28431 PubMedGoogle ScholarCrossref
8.
Musso  G, Gambino  R, Cassader  M, Pagano  G.  A meta-analysis of randomized trials for the treatment of nonalcoholic fatty liver disease.   Hepatology. 2010;52(1):79-104. doi:10.1002/hep.23623 PubMedGoogle ScholarCrossref
9.
Chalasani  N, Younossi  Z, Lavine  JE,  et al.  The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases.   Hepatology. 2018;67(1):328-357. doi:10.1002/hep.29367 PubMedGoogle ScholarCrossref
10.
Romero-Gómez  M, Zelber-Sagi  S, Trenell  M.  Treatment of NAFLD with diet, physical activity and exercise.   J Hepatol. 2017;67(4):829-846. doi:10.1016/j.jhep.2017.05.016 PubMedGoogle ScholarCrossref
11.
Larson-Meyer  DE, Heilbronn  LK, Redman  LM,  et al.  Effect of calorie restriction with or without exercise on insulin sensitivity, beta-cell function, fat cell size, and ectopic lipid in overweight subjects.   Diabetes Care. 2006;29(6):1337-1344. doi:10.2337/dc05-2565 PubMedGoogle ScholarCrossref
12.
de Cabo  R, Mattson  MP.  Effects of intermittent fasting on health, aging, and disease.   N Engl J Med. 2019;381(26):2541-2551. doi:10.1056/NEJMra1905136 PubMedGoogle ScholarCrossref
13.
Patterson  RE, Sears  DD.  Metabolic effects of intermittent fasting.   Annu Rev Nutr. 2017;37:371-393. doi:10.1146/annurev-nutr-071816-064634 PubMedGoogle ScholarCrossref
14.
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(6):991-1005. doi:10.1016/j.cmet.2014.11.001 PubMedGoogle ScholarCrossref
15.
Hatori  M, Vollmers  C, Zarrinpar  A,  et al.  Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet.   Cell Metab. 2012;15(6):848-860. doi:10.1016/j.cmet.2012.04.019 PubMedGoogle ScholarCrossref
16.
Ruge  T, Hodson  L, Cheeseman  J,  et al.  Fasted to fed trafficking of fatty acids in human adipose tissue reveals a novel regulatory step for enhanced fat storage.   J Clin Endocrinol Metab. 2009;94(5):1781-1788. doi:10.1210/jc.2008-2090 PubMedGoogle ScholarCrossref
17.
Kahleova  H, Lloren  JI, Mashchak  A, Hill  M, Fraser  GE.  Meal frequency and timing are associated with changes in body mass index in Adventist Health Study 2.   J Nutr. 2017;147(9):1722-1728. doi:10.3945/jn.116.244749 PubMedGoogle ScholarCrossref
18.
Lopez-Minguez  J, Gómez-Abellán  P, Garaulet  M.  Timing of breakfast, lunch, and dinner: effects on obesity and metabolic risk.   Nutrients. 2019;11(11):2624. doi:10.3390/nu11112624 PubMedGoogle ScholarCrossref
19.
Cienfuegos  S, Gabel  K, Kalam  F,  et al.  Effects of 4- and 6-h time-restricted feeding on weight and cardiometabolic health: a randomized controlled trial in adults with obesity.   Cell Metab. 2020;32(3):366-378.e3. doi:10.1016/j.cmet.2020.06.018 PubMedGoogle ScholarCrossref
20.
Wilkinson  MJ, Manoogian  ENC, Zadourian  A,  et al.  Ten-hour time-restricted eating reduces weight, blood pressure, and atherogenic lipids in patients with metabolic syndrome.   Cell Metab. 2020;31(1):92-104.e5. doi:10.1016/j.cmet.2019.11.004 PubMedGoogle ScholarCrossref
21.
Gabel  K, Hoddy  KK, Haggerty  N,  et al.  Effects of 8-hour time restricted feeding on body weight and metabolic disease risk factors in obese adults: a pilot study.   Nutr Healthy Aging. 2018;4(4):345-353. doi:10.3233/NHA-170036 PubMedGoogle ScholarCrossref
22.
Sutton  EF, Beyl  R, Early  KS, Cefalu  WT, Ravussin  E, Peterson  CM.  Early time-restricted feeding improves insulin sensitivity, blood pressure, and oxidative stress even without weight loss in men with prediabetes.   Cell Metab. 2018;27(6):1212-1221.e3. doi:10.1016/j.cmet.2018.04.010 PubMedGoogle ScholarCrossref
23.
Kahleova  H, Belinova  L, Malinska  H,  et al.  Eating two larger meals a day (breakfast and lunch) is more effective than six smaller meals in a reduced-energy regimen for patients with type 2 diabetes: a randomised crossover study.   Diabetologia. 2014;57(8):1552-1560. doi:10.1007/s00125-014-3253-5 PubMedGoogle ScholarCrossref
24.
Eckel  RH, Jakicic  JM, Ard  JD,  et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines.  2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.   J Am Coll Cardiol. 2014;63(25, pt B):2960-2984. doi:10.1016/j.jacc.2013.11.003 PubMedGoogle ScholarCrossref
25.
The Chinese Nutrition Society.  Dietary Guidelines for Chinese Residents. People's Medical Publishing House; 2016.
26.
Yang  Y.  China Food Composition Tables Standard Edition. 6th ed. Beijing University Medical Press; 2018.
27.
Kukuk  GM, Hittatiya  K, Sprinkart  AM,  et al.  Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis.   Eur Radiol. 2015;25(10):2869-2879. doi:10.1007/s00330-015-3703-6 PubMedGoogle ScholarCrossref
28.
Serai  SD, Dillman  JR, Trout  AT.  Proton density fat fraction measurements at 1.5- and 3-T hepatic MR imaging: same-day agreement among readers and across two imager manufacturers.   Radiology. 2017;284(1):244-254. doi:10.1148/radiol.2017161786 PubMedGoogle ScholarCrossref
29.
Zhang  Y, Wang  C, Duanmu  Y,  et al.  Comparison of CT and magnetic resonance mDIXON-Quant sequence in the diagnosis of mild hepatic steatosis.   Br J Radiol. 2018;91(1091):20170587. doi:10.1259/bjr.20170587 PubMedGoogle ScholarCrossref
30.
Tong  Y, Udupa  JK, Torigian  DA.  Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: a novel approach.   Med Phys. 2014;41(6):063501. doi:10.1118/1.4876275 PubMedGoogle ScholarCrossref
31.
Craig  CL, Marshall  AL, Sjöström  M,  et al.  International Physical Activity questionnaire: 12-country reliability and validity.   Med Sci Sports Exerc. 2003;35(8):1381-1395. doi:10.1249/01.MSS.0000078924.61453.FB PubMedGoogle ScholarCrossref
32.
Ware  J  Jr, Kosinski  M, Keller  SDA.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.   Med Care. 1996;34(3):220-233. doi:10.1097/00005650-199603000-00003PubMedGoogle ScholarCrossref
33.
Hirschtritt  ME, Kroenke  K.  Screening for Depression.   JAMA. 2017;318(8):745-746. doi:10.1001/jama.2017.9820PubMedGoogle ScholarCrossref
34.
Buysse  DJ, Reynolds  CF  III, Monk  TH, Berman  SR, Kupfer  DJ.  The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research.   Psychiatry Res. 1989;28(2):193-213. doi:10.1016/0165-1781(89)90047-4PubMedGoogle ScholarCrossref
35.
Kahleova  H, Belinova  L, Malinska  H,  et al.  Erratum to: eating two larger meals a day (breakfast and lunch) is more effective than six smaller meals in a reduced-energy regimen for patients with type 2 diabetes: a randomised crossover study.   Diabetologia. 2015;58(1):205. doi:10.1007/s00125-014-3411-9 PubMedGoogle ScholarCrossref
36.
Pellegrini  M, Cioffi  I, Evangelista  A,  et al.  Effects of time-restricted feeding on body weight and metabolism: a systematic review and meta-analysis.   Rev Endocr Metab Disord. 2020;21(1):17-33. doi:10.1007/s11154-019-09524-w PubMedGoogle ScholarCrossref
37.
Stote  KS, Baer  DJ, Spears  K,  et al.  A controlled trial of reduced meal frequency without caloric restriction in healthy, normal-weight, middle-aged adults.   Am J Clin Nutr. 2007;85(4):981-988. doi:10.1093/ajcn/85.4.981 PubMedGoogle ScholarCrossref
38.
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(12):2854. doi:10.3390/nu11122854 PubMedGoogle ScholarCrossref
39.
Cai  H, Qin  YL, Shi  ZY,  et al.  Effects of alternate-day fasting on body weight and dyslipidaemia in patients with non-alcoholic fatty liver disease: a randomised controlled trial.   BMC Gastroenterol. 2019;19(1):219. doi:10.1186/s12876-019-1132-8 PubMedGoogle ScholarCrossref
40.
de Oliveira Maranhão Pureza  IR, da Silva Junior  AE, Silva Praxedes  DR,  et al.  Effects of time-restricted feeding on body weight, body composition and vital signs in low-income women with obesity: a 12-month randomized clinical trial.   Clin Nutr. 2021;40(3):759-766. doi:10.1016/j.clnu.2020.06.036 PubMedGoogle ScholarCrossref
41.
Lowe  DA, Wu  N, Rohdin-Bibby  L,  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(11):1491-1499. doi:10.1001/jamainternmed.2020.4153 PubMedGoogle ScholarCrossref
42.
Antoni  R, Robertson  TM, Robertson  MD, Johnston  JD.  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):1-6. doi:10.1017/jns.2018.13Google ScholarCrossref
43.
Stratton  MT, Tinsley  GM, Alesi  MG,  et al.  Four weeks of time-restricted feeding combined with resistance training does not differentially influence measures of body composition, muscle performance, resting energy expenditure, and blood biomarkers.   Nutrients. 2020;12(4):1126. doi:10.3390/nu12041126 PubMedGoogle ScholarCrossref
44.
Chow  LS, Manoogian  ENC, Alvear  A,  et al.  Time-restricted eating effects on body composition and metabolic measures in humans who are overweight: a feasibility study.   Obesity (Silver Spring). 2020;28(5):860-869. doi:10.1002/oby.22756 PubMedGoogle ScholarCrossref
45.
Haganes  KL, Silva  CP, Eyjólfsdóttir  SK,  et al.  Time-restricted eating and exercise training improve HbA1c and body composition in women with overweight/obesity: a randomized controlled trial.   Cell Metab. 2022;34(10):1457-1471.e4. doi:10.1016/j.cmet.2022.09.003 PubMedGoogle ScholarCrossref
46.
Eddowes  PJ, Sasso  M, Allison  M,  et al.  Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease.   Gastroenterology. 2019;156(6):1717-1730. doi:10.1053/j.gastro.2019.01.042 PubMedGoogle ScholarCrossref
47.
Noureddin  M, Lam  J, Peterson  MR,  et al.  Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials.   Hepatology. 2013;58(6):1930-1940. doi:10.1002/hep.26455 PubMedGoogle ScholarCrossref
×