ABSTRACT
Background
The Mediterranean diet (MD) is considered the best dietary approach for patients with metabolic dysfunction‐associated steatotic liver disease (MASLD). Recently, time‐restricted feeding (TRF) has gained attention for its lifestyle compatibility and health benefits.
Aims
This study aimed to compare the effects of a hypocaloric MD with a 10‐h TRF protocol to an unrestricted MD in MASLD patients with overweight/obesity and evaluate differences between early and late TRF.
Methods
This 12‐week randomised controlled trial in MASLD patients with overweight/obesity consisted of three groups, all following a hypocaloric Mediterranean‐type diet. The control group had no eating time restrictions. The early TRF (eTRF) and late TRF (lTRF) groups had a 10‐h eating window, from 8 AM to 6 PM and from 12 PM to 10 PM, respectively. Various health parameters were measured. Compliance was tracked via food diaries, and an 8‐week follow‐up occurred post‐intervention.
Results
Fifty‐nine MASLD individuals (27 males; 52.9 years; body mass index 32.1 kg/m2) completed the trial (control, n = 19; eTRF, n = 20; lTRF, n = 20). All groups showed significant 12‐week reductions in body weight, anthropometry and blood pressure. Glycated haemoglobin A1c and insulin resistance, as measured by the Matsuda index, homeostatic model assessment for insulin resistance and fasting glucose‐to‐insulin ratio, improved in the eTRF group at 12 weeks.
Conclusions
This study corroborates the efficacy of MD in ameliorating cardiometabolic risk factors such as body weight and blood pressure in MASLD patients. The combination with an eTRF protocol may improve glycaemic control (NCT05866744).
Trial Registration
The study is registered at clinicaltrials.gov (NCT05866744)
Keywords: glucose metabolism, insulin resistance, intermittent fasting, liver steatosis, Mediterranean diet, metabolic dysfunction‐associated steatotic liver disease, time‐restricted feeding
This study corroborates the efficacy of the Mediterranean diet (MD) in ameliorating cardiometabolic risk factors such as body weight and blood pressure in patients with MASLD and overweight/obesity. The combination of a hypocaloric MD with an early 14:10 time‐restricted feeding protocol improved glycaemic control, while late eating within the MD framework did not impair glucose metabolism.

1. Introduction
Non‐alcoholic fatty liver disease (NAFLD) has a wide clinical spectrum, ranging from simple liver steatosis to liver fibrosis, cirrhosis and hepatocellular carcinoma [1]. The term NAFLD has been replaced with metabolic dysfunction‐associated steatotic liver disease (MASLD) [2] and is used to describe the accumulation of fat in liver cells (> 5%) of individuals who do not consume a significant amount and/or no alcohol (< 30 g/day for males and < 20 g/day for females) [3]. Currently, MASLD has spread at alarming rates and is the most common cause of chronic liver disease worldwide [4]. MASLD prevalence, estimated at 30%–32% [5], is increasing exponentially at the same rate as type 2 diabetes and obesity as a result of unhealthy eating habits and a sedentary lifestyle [6]. MASLD is considered the liver manifestation of metabolic syndrome (MetS) and has a close and bidirectional relationship with type 2 diabetes and obesity [7]. Nutritional management of individuals with MASLD aims to reduce body weight (7%–10%) by adopting a low‐calorie diet plan based on the Mediterranean Diet (MD) pattern, which is considered the optimal diet [8].
MD has been widely studied for its beneficial effects on overall health, particularly in reducing cardiovascular disease (CVD) risk and improving metabolic conditions [9]. Studies have shown that adherence to MD, characterised by high consumption of fruits, vegetables, whole grains and healthy fats, such as olive oil, can improve liver fat content and reduce liver inflammation in patients with MASLD [10]. The anti‐inflammatory and antioxidant properties of MD are thought to play key roles in mitigating the progression of MASLD [10].
Nevertheless, several other nutritional strategies for weight loss and cardiometabolic profile improvement have been suggested for patients with MASLD. One of these strategies is intermittent fasting (IF), which is characterised by alternations between cycles of prolonged fasting and food intake and includes various protocols depending on the duration of fasting [11]. In the context of time‐restricted feeding (TRF), an IF protocol, individuals are usually asked to consume all their meals within a specific ‘time window’, for example, 10 h, with food intake restricted for 14 h (14:10). The most prevalent types of TRF are early TRF (eTRF, restricting feeding early in the day) and late or delayed TRF (lTRF, restricting eating later in the day). These two types do not seem to differ in weight loss rates but may affect other parameters, such as insulin sensitivity, in a different way [12]. Although TRF was first described as an ad libitum IF regimen, it has been examined lately in combination with caloric restriction, which seems to result in clinically significant weight loss [13]. Several studies have compared a hypocaloric TRF protocol with a control group (only a hypocaloric diet without time restriction) [14, 15, 16, 17]. In contrast, only a few randomised controlled trials (RCTs) have examined the effects of TRF (with or without caloric restriction) on health parameters in patients with MASLD [18, 19, 20, 21, 22] and none of the RCTs compared TRF with the gold‐standard MD in this population.
The aims of this study were (a) to compare, for the first time, the effects of a hypocaloric Mediterranean‐type 14:10 TRF protocol with the gold standard MD in MASLD patients with overweight or obesity and (b) to examine whether there are differences in restricting eating early (eTRF) versus late (lTRF) in this context.
2. Materials and Methods
2.1. Study Design
This RCT employed a parallel design (allocation ratio 1:1) with three intervention groups: the control group (n = 19), the early TRF (eTRF) group (n = 20) and the late TRF (lTRF) group (n = 20). All groups adhered to a hypocaloric diet (500 kcal/day below resting energy expenditure) based on MD principles (carbohydrates 45%, protein 20%, fat 35%) and maintained usual physical activity habits [3, 8]. Participants were provided with the same diet plan (foods and macronutrient composition) containing traditional and simple food choices, differing only in caloric intake. The control group consumed meals throughout the day without time restrictions (over 12 h daily). The eTRF group ate within a 10‐h window (8 AM to 6 PM), fasting for the remaining 14 h. The lTRF group ate within a 10‐h window (12 PM to 10 PM), also fasting for 14 h. Both TRF groups could adjust their eating window by ±1 h but were encouraged to maintain the 10‐h duration. During fasting, participants could drink water or zero‐calorie beverages.
The study took place at the Laboratory of Dietetics and Quality of Life, Agricultural University of Athens and the Outpatient Hepatology Clinic of ‘Laiko’ General Hospital of Athens, between December 2022 and July 2024, in accordance with the Declaration of Helsinki. It was approved by the Bioethics Committee of the Agricultural University of Athens (EIDE Reference Number: 40/27.04.2022) and the Scientific Committee of ‘Laiko’ General Hospital (716/26‐11‐2022). The study is registered at clinicaltrials.gov (NCT05866744).
2.2. Study Participants
Individuals > 18 years with confirmed MASLD (abdominal ultrasound indicating liver steatosis per standard criteria [23] and exclusion of other causes [2]) and a body mass index (BMI) ≥ 25 kg/m2 were eligible. Detailed exclusion criteria are provided in the Methods section in Supporting Information. Enrollment and screening occurred at the Outpatient Hepatology Clinic of the ‘Laiko’ General Hospital of Athens. Participants were required to maintain a constant medication dose and type throughout the study.
2.3. Randomisation, Screening and Inclusion of Participants
Eligible individuals were randomly assigned to one of three groups post‐screening. Randomisation was performed by a non‐participating team member using random.org (accessed 27.11.2022). Due to the intervention's nature, both researchers and participants were aware of group allocations, disclosed the day before the intervention during the education process. Participants received all relevant information and provided written consent.
A total of 133 individuals were screened; 51 (38.4%) did not meet inclusion criteria, and 11 (8.3%) declined participation. Seventy‐one (53.3%) were allocated to intervention groups, but 12 (16.9%) did not complete the study due to health issues (unrelated to the intervention) or protocol adherence difficulties (3 in the first week, 1 in the third week, 3 in the fourth week, 3 in the fifth week and 2 in the sixth week). The final analysis included 19 from the control group, 20 from the eTRF group and 20 from the lTRF group, as shown in Figure 1.
FIGURE 1.

Flow diagram of screening and inclusion of participants. eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding.
2.4. Study Protocol and Visits
Participants were required to visit the Laboratory of Dietetics and Quality of Life biweekly for 12 weeks during the intervention and 8 weeks post‐intervention (totaling 20 weeks) (Figure 2). Throughout the main study, a research team nutritionist conducted follow‐up phone calls to address questions and encourage protocol adherence.
FIGURE 2.

Study's graphical protocol. BP, blood pressure; eTRF, early time‐restricted feeding; IPAQ, International Physical Activity Questionnaire; lTRF, late time‐restricted feeding; VAS, visual analogue scale.
2.5. Determination of the Metabolic Health Status
We defined type 2 diabetes and prediabetes according to the American Diabetes Association guidelines [24], stratified blood pressure (BP) based on the 2023 European Society of Cardiology guidelines [25], defined dyslipidaemia using the European Society of Cardiology guidelines [26] and identified MetS following the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) definition [27]. The Methods section in Supporting Information provide comprehensive details regarding these definitions.
2.6. Anthropometric Measurements and Body Composition Analysis
Anthropometric measures—height, waist circumference (WC), hip circumference (HC), neck circumference (NC), mid‐arm circumference (MAC) and calf circumference (CC)—were collected at baseline, biweekly until the 12th week and during the follow‐up visit. Body composition was analysed via bioelectrical impedance. For a detailed description, refer to Methods section in Supporting Information.
2.7. Biochemical Analyses and Oral Glucose Tolerance Test
Blood and urine samples from participants were collected between 7 AM and 9 AM (e.g., 10–16 h of fasting depending on the last eating event and the intervention group) at baseline and at 6 and 12 weeks post‐randomisation. Analytes measured included alanine aminotransaminase (ALT), aspartate aminotransaminase (AST), gamma‐glutamyl transferase (GGT), total cholesterol (TC), triglycerides (TG), low‐density lipoprotein (LDL), high‐density lipoprotein (HDL), fasting plasma glucose (FPG), fasting insulin, glycated haemoglobin A1c (HbA1c), C‐reactive protein (CRP), ferritin, albumin, creatinine, uric acid and urine ketone bodies. Calculations included the atherogenic index (AI, LDL‐to‐HDL ratio) [28, 29], atherogenic index of plasma [AIP, log10(TG to HDL)] [30, 31], coronary risk index (CRI, TC‐to‐HDL ratio) [28] and TG‐to‐HDL ratio [31].
Participants also underwent a 2‐h oral glucose tolerance test (OGTT) with 75 g of D‐glucose, with insulin levels measured at 0, 60 and 120 min, at baseline and 12 weeks. Further details on glucose and insulin calculations can be found in the Methods section in Supporting Information. Insulin resistance (IR) [32] was assessed using homeostatic model assessment for IR (HOMA‐IR) [33, 34], Matsuda index [35] and the fasting glucose‐to‐insulin (FGI) ratio [36].
2.8. Blood Pressure Measurement
BP was measured in the left arm of seated participants, with the arm supported at heart level. Measurements were taken at baseline, biweekly during the intervention and at the follow‐up visit. Further details are available in the Methods section in Supporting.
2.9. Liver Elastography
FibroScan (Echosens, Paris, France) was used to measure liver stiffness (hardness) [37, 38]. Liver steatosis was assessed using the controlled attenuation parameter (CAP) score (dB/m), representing fat accumulation level [39]. Participants underwent liver elastography with FibroScan and CAP at baseline and at 12 weeks, performed by blinded, specialised physicians.
2.10. Questionnaires
Participants filled out a medical history questionnaire and a baseline demographic and smoking habits sheet. They also completed the Chrononutrition‐Profile Questionnaire to assess chrononutrition parameters [40]. The short form of the International Physical Activity Questionnaire (IPAQ) measured physical activity intensity (low, moderate, high) and sitting time, estimating total physical activity in MET‐min/week [41, 42]. The IPAQ was administered biweekly during the study and at the follow‐up.
2.11. Visual Analogue Scale
Participants completed the Visual Analogue Scale (VAS) weekly to rate their subjective appetite [43]. The VAS, a 100‐mm horizontal line with verbal descriptors at each end, required participants to mark the point best representing their feelings. Assessed feelings included hunger, fullness, desire to eat, thirst, preoccupation with food, prospective food consumption and pleasure, with responses ranging from 0 (not at all) to 100 (extreme; e.g., hunger). The VAS was completed each morning on an empty stomach before any food or beverage consumption.
2.12. Dietary Intake and Adherence to the Intervention
A detailed 24‐h recall of a typical day was collected from each participant at baseline by a trained nutritionist. Information on food quality and quantity, meal timing and frequency, beverage consumption and supplements was documented. A validated food frequency questionnaire for the Greek population was also completed to assess dietary habits over the past year [44]. Additionally, the Mediterranean diet score was calculated to evaluate adherence to the MD at baseline [45].
During the intervention, participants maintained a 7‐day food diary (totaling 12 diaries) to monitor compliance with the diet program (MD plan and macronutrient composition) and eating/fasting window (exact times of first and last eating events). During the follow‐up phone calls and the in‐person meetings, the research team's nutritionists examined the food diaries for any inaccuracies and, when necessary, used food models and pictures to clarify discrepancies in portion sizes. According to previous studies, compliance was recorded if they adhered to the schedule (both the MD hypocaloric diet and the eating window) for more than 80% of the intervention period [16, 21]. Data for each day were exported and assessed separately for each participant. At follow‐up, participants also kept a detailed 7‐day food diary before their visit to assess dietary habits and eating windows post‐intervention. Moreover, the researchers collected some data concerning the time of waking up and bedtime at baseline, 6, 12 and 20 weeks, and computed the morning latency (time between waking‐up and first energy intake) and the evening latency (time between last energy intake and bedtime).
2.13. Statistical Analysis
The sample size calculation determined that 18 participants per group were needed to achieve 80% power at a 0.05 significance level, to detect a 30 (±50) dB/m reduction in CAP between interventions [22]. To accommodate a dropout rate of at least 15%, more than 21 participants were randomised per group.
All statistical analyses were conducted per the per protocol principle. Normality of quantitative data was assessed using the Kolmogorov–Smirnov test, Shapiro–Wilk test and Q‐Q plots. Normally distributed data are presented as mean ± standard error of the mean (SEM), whereas skewed data are shown as median and interquartile range (25th and 75th percentiles). Qualitative data are reported as absolute numbers and frequencies (%). One‐way ANOVA tested mean differences in parametric variables, whereas the Kruskal–Wallis test was used for non‐parametric data comparisons among three groups; post hoc analysis was conducted with Tukey's test. Paired samples t‐test compared means of two continuous variables within a group, and the Wilcoxon signed‐rank test was applied to non‐normal variables. Pearson's chi‐square test assessed differences between categorical variables. Moreover, a stratified analysis according to the participants' baseline BMI status (overweight vs. obesity) was conducted to test for further differences in the study's main outcomes. A linear mixed effects model (LMM) was used for baseline to 12 weeks and 12 weeks to follow‐up, adjusted for sex, age, MetS, HOMA‐IR, BMI and total fat mass, to evaluate within‐ and between‐group differences. The statistical significance was set at p < 0.05. Analyses were performed using SPSS v.25.0 (IBM Corporation, Chicago, IL, USA).
3. Results
3.1. Baseline Characteristics of Participants
Table 1 outlines participants' baseline characteristics, which did not differ between the three intervention groups. Before the study, 81.4% showed moderate MD adherence. Overweight and obesity were observed in 42.4% and 57.6% of participants, respectively (see Table S1). Moreover, the three groups did not differ in their baseline comorbidities or medications, which remained unchanged until the end of the intervention (Table 1). Additionally, the sample consisted mainly of employers (50.8%), highly educated individuals (66.1%) and married participants (55.9%) (see Table S1). Lastly, the three groups did not differ in their baseline chrononutrition profile (Table 1) and sleeping parameters (see Table S2).
TABLE 1.
Baseline characteristics of participants.
| Total (n = 59) | Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | p value | |
|---|---|---|---|---|---|
| Age, years | 52.9 ± 1.6 | 49.9 ± 3.8 | 54.7 ± 1.9 | 54.1 ± 2.1 | 0.408 |
| Sex, n male (%) | 27 (45.8) | 9 (47.4) | 9 (45.0) | 9 (45.0) | 0.986 |
| Metabolic syndrome, n yes (%) | 36 (61.0) | 9 (47.4) | 15 (75.0) | 12 (60.0) | 0.208 |
| Dyslipidaemia, n yes (%) | 43 (72.9) | 12 (63.2) | 15 (75.0) | 16 (80.0) | 0.480 |
| Hypertension, n yes (%) | 26 (44.1) | 8 (42.1) | 10 (50.0) | 8 (40.0) | 0.799 |
| Prediabetes, n yes (%) | 20 (33.9) | 6 (31.6) | 6 (30.0) | 8 (40.0) | 0.774 |
| Type 2 diabetes, n yes (%) | 20 (33.9) | 7 (36.8) | 8 (40.0) | 5 (25.0) | 0.573 |
| Lifestyle parameters | |||||
| Physical activity, MET‐min/week | 1869.1 ± 222.6 | 1682.5 ± 374.8 | 1942.3 ± 392.2 | 1973.2 ± 404.1 | 0.849 |
| Physical activity level, n (%) | |||||
| Low | 20 (33.9) | 7 (36.8) | 6 (30.0) | 7 (35.0) | 0.968 |
| Moderate | 22 (37.3) | 6 (31.6) | 8 (40.0) | 8 (40.0) | |
| High | 17 (28.8) | 6 (31.6) | 6 (30.0) | 5 (25.0) | |
| Mediterranean diet score | 30.9 ± 0.8 | 32.2 ± 1.4 | 30.7 ± 1.5 | 29.8 ± 1.2 | 0.459 |
| Mediterranean diet score (level), n (%) | |||||
| Low (1–17) | 1 (1.7) | 0 (0.0) | 1 (5.0) | 0 (0.0) | 0.251 |
| Moderate (18–36) | 48 (81.4) | 15 (78.9) | 14 (70.0) | 19 (95.0) | |
| High (37–55) | 10 (16.9) | 4 (21.1) | 5 (25.0) | 1 (5.0) | |
| Energy intake, kcal | 2107.4 ± 98.8 | 2116.8 ± 205.6 | 2096.4 ± 138.7 | 2109.5 ± 174.9 | 0.996 |
| Eating window, hh:mm | 12:46 ± 00:20 | 12:50 ± 00:38 | 12:56 ± 00:19 | 12:33 ± 00:43 | 0.900 |
| Fasting window, hh:mm | 11:13 ± 00:20 | 11:10 ± 00:38 | 11:03 ± 00:19 | 11:13 ± 00:20 | 0.900 |
| Weekdays wake‐up time, hh:mm | 07:09 ± 00:11 | 07:18 ± 00:28 | 06:56 ± 00:09 | 07:14 ± 00:24 | 0.707 |
| Free days fall‐asleep time, hh:mm | 23:30 (23:00, 00:30) | 00:00 (23:00, 00:30) | 23:30 (23:00, 00:00) | 23:00 (23:00, 01:00) | 0.791 |
| Breakfast consumption, days/week | 5.46 ± 0.305 | 5.84 ± 0.509 | 5.05 ± 0.564 | 5.50 ± 0.521 | 0.579 |
| Snacking after last meal, days/week | 3.39 ± 0.344 | 3.95 ± 0.516 | 2.85 ± 0.559 | 3.40 ± 0.694 | 0.438 |
| Anthropometric measurements | |||||
| Body weight, kg | 92.7 ± 2.1 | 93.9 ± 3.7 | 88.2 ± 3.4 | 96.2 ± 3.7 | 0.274 |
| Body mass index, kg/m2 | 32.1 ± 0.6 | 32.4 ± 0.9 | 31.4 ± 1.1 | 32.7 ± 1.2 | 0.682 |
| Waist circumference, cm | 107.7 ± 1.5 | 109.0 ± 2.9 | 104.0 ± 2.1 | 110.1 ± 2.6 | 0.191 |
| Hip circumference, cm | 113.9 ± 2.1 | 111.6 ± 5.8 | 112.7 ± 2.3 | 117.4 ± 2.1 | 0.506 |
| Mid‐arm circumference, cm | 35.6 ± 0.5 | 35.5 ± 0.9 | 35.3 ± 1.0 | 36.0 ± 0.8 | 0.834 |
| Calf circumference, cm | 41.9 ± 0.5 | 42.7 ± 0.8 | 41.2 ± 0.9 | 41.9 ± 0.8 | 0.457 |
| Neck circumference, cm | 38.8 ± 0.5 | 38.5 ± 1.0 | 38.9 ± 0.8 | 38.9 ± 1.0 | 0.944 |
| Body composition | |||||
| Body fat percentage, % | 37.1 ± 1.2 | 37.3 ± 2.1 | 36.5 ± 1.9 | 37.5 ± 2.1 | 0.927 |
| Total fat mass, kg | 34.5 ± 1.5 | 34.9 ± 2.5 | 32.3 ± 2.3 | 36.4 ± 2.8 | 0.504 |
| Total body water, kg | 42.9 ± 1.2 | 43.3 ± 2.3 | 41.1 ± 1.9 | 44.3 ± 1.2 | 0.522 |
| Body water percentage, % | 46.0 ± 0.9 | 46.0 ± 1.6 | 46.7 ± 1.4 | 45.4 ± 1.5 | 0.841 |
| Fat‐free mass, kg | 58.0 ± 1.6 | 58.5 ± 3.0 | 55.9 ± 2.6 | 59.8 ± 2.7 | 0.605 |
| Total muscle mass, kg | 32.3 ± 1.0 | 32.5 ± 1.9 | 31.3 ± 1.6 | 33.3 ± 1.7 | 0.718 |
| Liver parameters | |||||
| Aspartate aminotransaminase, U/L | 22.0 (17.0, 32.0) | 23.8 (19.0, 33.0) | 22.5 (17.0, 27.8) | 21. (15.5, 35.3) | 0.498 |
| Alanine aminotransaminase, U/L | 27.0 (19.0, 42.0) | 32.0 (20.0, 51.0) | 27.0 (19.8, 37.5) | 22.5 (16.0, 45.8) | 0.578 |
| Gamma‐glutamyl transferase, U/L | 27.0 (20.0, 72.0) | 26.0 (15.0, 70.0) | 30.5 (22.8, 67.5) | 26.0 (20.3, 76.5) | 0.589 |
| Albumin, g/dL | 5.2 ± 0.7 | 4.4 ± 0.1 | 6.6 ± 2.1 | 4.6 ± 0.1 | 0.392 |
| Liver steatosis, dB/m | 287.8 ± 5.5 | 292.9 ± 9.0 | 292.1 ± 10.3 | 280.1 ± 9.6 | 0.670 |
| Liver stiffness, kPa | 5.2 (4.5, 5.8) | 5.4 (4.2, 6.6) | 5.1 (4.6, 5.5) | 5.3 (4.6, 5.9) | 0.736 |
| Cardiometabolic factors | |||||
| Glucose metabolism | |||||
| OGTT | |||||
| Fasting plasma glucose, mg/dL | 102.8 ± 2.0 | 103.1 ± 4.2 | 105.8 ± 3.6 | 99.4 ± 2.7 | 0.424 |
| 60‐min glucose, mg/dL | 169.3 ± 7.5 | 166.9 ± 12.7 | 182.2 ± 13.6 | 158.7 ± 12.5 | 0.427 |
| 120‐min glucose, mg/dL | 123.0 ± 6.6 | 124.7 ± 13.8 | 139.0 ± 12.0 | 105.3 ± 7.1 | 0.108 |
| Fasting insulin, mIU/L | 10.5 (7.3, 15.9) | 10.5 (7.0, 16.2) | 11.7 (6.7, 19.3) | 10.2 (7.5, 14.4) | 0.906 |
| 60‐min insulin, mIU/L | 83.7 (47.0, 116.3) | 71.2 (46.7, 134.7) | 82.5 (34.5, 148.5) | 89.6 (46.0, 105.5) | 0.977 |
| 120‐min insulin, mIU/L | 47.1 (27.2, 88.8) | 35.6 (36.7, 72.0) | 59.1 (27.3, 131.7) | 48.1 (23.9, 86.5) | 0.559 |
| HbA1c, % | 5.5 (5.3, 5.9) | 5.5 (5.4, 5.9) | 5.7 (5.3, 6.0) | 5.4 (5.2, 5.7) | 0.392 |
| Lipidaemic profile | |||||
| Total cholesterol, mg/dL | 190.9 ± 4.9 | 183.0 ± 7.9 | 188.5 ± 8.6 | 200.9 ± 8.7 | 0.310 |
| Triglycerides, mg/dL | 119.3 ± 6.7 | 111.0 ± 11.0 | 134.0 ± 12.9 | 106.8 ± 9.7 | 0.085 |
| LDL, mg/dL | 113.4 ± 4.3 | 104.8 ± 7.2 | 111.6 ± 7.0 | 123.4 ± 8.0 | 0.206 |
| HDL, mg/dL | 52.1 ± 1.7 | 56.4 ± 3.7 | 48.0 ± 2.5 | 52.1 ± 2.6 | 0.147 |
| Blood pressure | |||||
| Systolic blood pressure, mmHg | 129.5 ± 1.6 | 127.6 ± 2.7 | 130.8 ± 2.9 | 130.0 ± 3.1 | 0.716 |
| Diastolic blood pressure, mmHg | 79.9 ± 1.2 | 76.5 ± 1.9 | 83.8 ± 1.7 | 79.1 ± 2.5 | 0.055 |
| Other parameters | |||||
| Uric acid, mg/dL | 5.6 ± 0.2 | 5.3 ± 0.3 | 5.7 ± 0.3 | 5.7 ± 0.3 | 0.661 |
| Creatinine, mg/dL | 0.8 ± 0.02 | 0.8 ± 0.04 | 0.8 ± 0.03 | 0.9 ± 0.04 | 0.169 |
| C‐reactive protein, mg/L | 1.5 (0.6, 2.8) | 1.5 (0.8, 2.7) | 0.9 (0.5, 1.5) | 2.0 (0.7, 3.7) | 0.100 |
| Ferritin, ng/mL | 93.0 (48.5, 172.0) | 79.2 (39.8, 163.0) | 83.1 (47.3, 216.3) | 107.8 (66.1, 179.5) | 0.521 |
| Urine ketone bodies, n yes (%) | 2 (3.4) | 1 (5.3) | 1 (5.0) | 0 (0.0) | 0.394 |
Note: Normally and non‐normally distributed variables are shown as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively, and categorical variables as absolute numbers (frequencies, %). p value: Pearson's chi‐square test for categorical variables, one‐way ANOVA and Kruskal‐Wallis for parametric and non‐parametric variables, respectively.
Abbreviations: eTRF, early time‐restricted feeding; HbA1c, glycated haemoglobin A1c; lTRF, late time‐restricted feeding; OGTT, oral glucose tolerance test.
3.2. Effects on Body Composition and Anthropometric Measurements
At 12 weeks, all three groups exhibited similar body weight loss (7.6%–8.3%) and fat mass loss (14.8%–16.7%) compared to the baseline, with no significant differences between the three groups (p > 0.05) (Table 2, Figure 3a,b). This fat reduction, including abdominal fat as assessed by WC, was consistent across all body areas without group differences (Table 2, Figure 3d–h). Muscle mass also decreased uniformly across all groups by 12 weeks (Table 2, Figure 3c). At the 20‐week follow‐up, body weight/fat mass loss and body circumferences were maintained or further decreased, whereas muscle mass did not decline further, with no significant differences between the groups (Table 2, Figure 3a–h).
TABLE 2.
Results on body composition and anthropometric measurements from baseline to 12 and 20 weeks.
| Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | Interaction (0–12) | Interaction (12–20) | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 12 weeks | 20 weeks | p a | p b | Baseline | 12 weeks | 20 weeks | p a | p b | Baseline | 12 weeks | 20 weeks | p a | p b | p 12 | p 20 | p time | p time × intervention | p time | p time × intervention | |
| Body weight, kg | 93.9 ± 3.7 | 86.1 ± 3.7 | 85.0 ± 3.6 | < 0.001 | 0.059 | 88.2 ± 3.4 | 81.0 ± 3.3 | 80.7 ± 3.3 | < 0.001 | 0.457 | 96.2 ± 3.7 | 89.1 ± 3.7 | 88.9 ± 3.6 | < 0.001 | 0.733 | 0.266 | 0.251 | < 0.001 | 0.862 | 0.917 | 0.918 |
| BMI, kg/m2 | 32.4 ± 0.9 | 29.5 ± 1.0 | 29.1 ± 1.0 | < 0.001 | 0.034 | 31.4 ± 1.1 | 28.8 ± 1.0 | 28.7 ± 1.0 | < 0.001 | 0.441 | 32.7 ± 1.2 | 30.2 ± 1.2 | 30.1 ± 1.1 | < 0.001 | 0.547 | 0.615 | 0.576 | < 0.001 | 0.676 | 0.902 | 0.877 |
| Waist circumference, cm | 109.0 ± 2.9 | 100.2 ± 3.0 | 99.6 ± 3.1 | < 0.001 | 0.163 | 104.0 ± 2.1 | 96.6 ± 1.9 | 97.2 ± 1.9 | < 0.001 | 0.228 | 110.1 ± 2.6 | 102.1 ± 2.8 | 102.7 ± 2.5 | < 0.001 | 0.363 | 0.308 | 0.296 | < 0.001 | 0.807 | 0.844 | 0.758 |
| Hip circumference, cm | 111.6 ± 5.8 | 110.0 ± 2.2 | 108.8 ± 2.1 | 0.805 | 0.054 | 112.7 ± 2.3 | 106.6 ± 2.1 | 106.5 ± 2.0 | < 0.001 | 0.805 | 117.4 ± 2.1 | 111.7 ± 2.2 | 111.0 ± 2.1 | < 0.001 | 0.214 | 0.247 | 0.313 | 0.010 | 0.941 | 0.601 | 0.858 |
| WHR | 1.34 ± 0.4 | 0.91 ± 0.02 | 0.91 ± 0.02 | 0.312 | 0.489 | 0.93 ± 0.02 | 0.91 ± 0.02 | 0.91 ± 0.01 | 0.024 | 0.064 | 0.94 ± 0.02 | 0.92 ± 0.02 | 0.93 ± 0.01 | 0.005 | 0.107 | 0.967 | 0.827 | 0.827 | 0.992 | 0.537 | 0.807 |
| Mid‐arm circumference, cm | 35.5 ± 0.9 | 33.4 ± 0.9 | 33.2 ± 0.9 | < 0.001 | 0.316 | 35.3 ± 1.0 | 32.8 ± 0.8 | 33.1 ± 0.9 | < 0.001 | 0.435 | 36.0 ± 0.8 | 33.9 ± 0.8 | 33.8 ± 0.7 | < 0.001 | 0.827 | 0.660 | 0.809 | < 0.001 | 0.976 | 0.986 | 0.981 |
| Calf circumference, cm | 42.7 ± 0.8 | 41.2 ± 0.8 | 40.7 ± 0.8 | < 0.001 | 0.008 | 41.2 ± 0.9 | 39.5 ± 0.8 | 39.3 ± 0.8 | < 0.001 | 0.134 | 41.9 ± 0.8 | 40.5 ± 0.8 | 40.4 ± 0.8 | < 0.001 | 0.599 | 0.234 | 0.403 | < 0.001 | 0.991 | 0.883 | 0.911 |
| Neck circumference, cm | 38.5 ± 1.0 | 36.9 ± 1.0 | 37.0 ± 1.0 | < 0.001 | 0.716 | 38.9 ± 0.8 | 37.2 ± 0.8 | 37.3 ± 0.9 | < 0.001 | 0.383 | 38.9 ± 1.0 | 37.4 ± 0.9 | 37.5 ± 0.9 | 0.004 | 0.470 | 0.944 | 0.934 | < 0.001 | 0.944 | 0.643 | 0.964 |
| NCtH | 22.6 ± 0.5 | 21.6 ± 0.4 | 21.7 ± 0.4 | < 0.001 | 0.701 | 23.2 ± 0.3 | 22.2 ± 0.3 | 22.2 ± 0.4 | < 0.001 | 0.374 | 22.6 ± 0.5 | 21.7 ± 0.4 | 21.8 ± 0.4 | 0.004 | 0.492 | 0.578 | 0.580 | < 0.001 | 0.845 | 0.617 | 0.961 |
| NCtW | 0.416 ± 0.01 | 0.436 ± 0.01 | 0.442 ± 0.01 | 0.001 | 0.033 | 0.448 ± 0.01 | 0.462 ± 0.01 | 0.465 ± 0.01 | 0.046 | 0.044 | 0.412 ± 0.01 | 0.427 ± 0.01 | 0.429 ± 0.01 | 0.002 | 0.434 | 0.115 | 0.091 | 0.008 | 0.805 | 0.702 | 0.961 |
| Body fat percentage, % | 37.3 ± 2.1 | 33.8 ± 2.4 | 33.0 ± 2.4 | < 0.001 | 0.057 | 36.5 ± 1.9 | 32.9 ± 2.0 | 32.7 ± 1.9 | < 0.001 | 0.622 | 37.5 ± 2.1 | 34.5 ± 2.3 | 34.0 ± 2.2 | 0.004 | 0.220 | 0.879 | 0.900 | < 0.001 | 0.926 | 0.630 | 0.905 |
| Total fat mass, kg | 34.9 ± 2.5 | 29.2 ± 2.5 | 28.3 ± 2.6 | < 0.001 | 0.029 | 32.3 ± 2.3 | 26.9 ± 2.2 | 26.6 ± 2.1 | < 0.001 | 0.496 | 36.4 ± 2.8 | 31.0 ± 2.8 | 30.6 ± 2.7 | < 0.001 | 0.278 | 0.506 | 0.516 | < 0.001 | 0.841 | 0.762 | 0.946 |
| FMI | 12.1 ± 0.9 | 10.2 ± 1.0 | 9.9 ± 1.0 | < 0.001 | 0.021 | 11.0 ± 0.7 | 9.7 ± 0.9 | 9.6 ± 0.8 | 0.055 | 0.485 | 12.6 ± 1.1 | 10.8 ± 1.1 | 10.6 ± 1.0 | < 0.001 | 0.242 | 0.732 | 0.728 | < 0.001 | 0.852 | 0.713 | 0.900 |
| Right arm fat mass, kg | 3.0 ± 0.4 | 2.3 ± 0.3 | 2.2 ± 0.3 | < 0.001 | 0.088 | 2.6 ± 0.3 | 2.0 ± 0.3 | 2.0 ± 0.3 | < 0.001 | 0.566 | 3.4 ± 0.5 | 2.6 ± 0.4 | 2.3 ± 0.3 | < 0.001 | 0.246 | 0.472 | 0.654 | < 0.001 | 0.491 | 0.286 | 0.483 |
| Left arm fat mass, kg | 3.1 ± 0.4 | 2.4 ± 0.3 | 2.3 ± 0.3 | < 0.001 | 0.038 | 2.7 ± 0.3 | 2.1 ± 0.3 | 2.0 ± 0.3 | < 0.001 | 0.551 | 3.4 ± 0.5 | 2.7 ± 0.4 | 2.4 ± 0.3 | < 0.001 | 0.266 | 0.517 | 0.698 | < 0.001 | 0.448 | 0.262 | 0.470 |
| Body fat mass, kg | 16.8 ± 1.4 | 15.0 ± 1.3 | 14.4 ± 1.2 | 0.216 | 0.019 | 16.8 ± 1.0 | 14.1 ± 1.1 | 14.0 ± 1.1 | < 0.001 | 0.437 | 19.3 ± 1.2 | 16.5 ± 1.4 | 15.8 ± 1.3 | < 0.001 | 0.028 | 0.452 | 0.514 | < 0.001 | 0.622 | 0.556 | 0.858 |
| Right leg fat mass, kg | 4.9 ± 0.4 | 4.1 ± 0.4 | 4.1 ± 0.4 | < 0.001 | 0.225 | 4.4 ± 0.4 | 3.7 ± 0.3 | 3.7 ± 0.3 | < 0.001 | 0.752 | 4.9 ± 0.3 | 4.2 ± 0.3 | 4.3 ± 0.4 | < 0.001 | 0.257 | 0.538 | 0.462 | < 0.001 | 0.556 | 0.719 | 0.673 |
| Left leg fat mass, kg | 4.8 ± 0.4 | 4.1 ± 0.4 | 4.0 ± 0.4 | < 0.001 | 0.212 | 4.4 ± 0.4 | 3.7 ± 0.3 | 3.6 ± 0.3 | < 0.001 | 0.640 | 4.9 ± 0.3 | 4.1 ± 0.3 | 4.2 ± 0.4 | < 0.001 | 0.250 | 0.548 | 0.458 | < 0.001 | 0.478 | 0.816 | 0.686 |
| Total body water, kg | 43.3 ± 2.3 | 42.5 ± 2.3 | 41.7 ± 2.1 | 0.015 | 0.807 | 41.1 ± 1.9 | 39.7 ± 1.8 | 39.8 ± 1.9 | 0.001 | 0.887 | 44.3 ± 1.2 | 43.3 ± 2.1 | 42.9 ± 2.0 | 0.002 | 0.190 | 0.602 | 0.535 | 0.220 | 0.995 | 0.856 | 0.977 |
| Body water percentage, % | 46.0 ± 1.6 | 48.6 ± 1.8 | 49.2 ± 1.8 | < 0.001 | 0.043 | 46.7 ± 1.4 | 49.3 ± 1.5 | 50.0 ± 1.3 | < 0.001 | 0.341 | 45.4 ± 1.5 | 48.1 ± 1.7 | 48.5 ± 1.6 | < 0.001 | 0.120 | 0.863 | 0.789 | < 0.001 | 0.919 | 0.574 | 0.927 |
| FFM, kg | 58.5 ± 3.0 | 56.9 ± 3.1 | 56.7 ± 2.9 | 0.016 | 0.707 | 55.9 ± 2.6 | 54.1 ± 2.5 | 54.1 ± 2.5 | 0.001 | 0.916 | 59.8 ± 2.7 | 58.1 ± 2.8 | 58.4 ± 2.8 | 0.004 | 0.340 | 0.590 | 0.537 | 0.210 | 0.993 | 0.898 | 0.982 |
| FFMI | 19.8 ± 0.5 | 19.2 ± 0.6 | 19.2 ± 0.5 | 0.026 | 0.849 | 19.7 ± 0.6 | 19.1 ± 0.5 | 19.1 ± 0.5 | 0.001 | 0.957 | 20.1 ± 0.5 | 19.4 ± 0.5 | 19.6 ± 0.5 | 0.006 | 0.298 | 0.891 | 0.786 | 0.019 | 0.967 | 0.750 | 0.948 |
| Total muscle mass, kg | 32.5 ± 1.9 | 30.7 ± 1.7 | 31.6 ± 1.7 | 0.115 | 0.392 | 31.3 ± 1.6 | 30.1 ± 1.5 | 30.1 ± 1.6 | 0.001 | 0.533 | 33.3 ± 1.7 | 32.5 ± 1.7 | 32.6 ± 1.7 | 0.002 | 0.487 | 0.573 | 0.538 | 0.094 | 0.801 | 0.580 | 0.834 |
| Right arm muscle mass, kg | 3.5 ± 0.2 | 3.3 ± 0.2 | 3.2 ± 0.2 | 0.006 | 0.490 | 3.3 ± 0.2 | 3.2 ± 0.2 | 3.1 ± 0.2 | 0.004 | 0.186 | 3.6 ± 0.2 | 3.5 ± 0.2 | 3.6 ± 0.3 | 0.020 | 0.369 | 0.744 | 0.404 | 0.144 | 0.851 | 0.455 | 0.443 |
| Left arm muscle mass, kg | 3.4 ± 0.2 | 3.2 ± 0.2 | 3.2 ± 0.2 | 0.002 | 0.895 | 3.3 ± 0.2 | 3.1 ± 0.2 | 3.1 ± 0.2 | 0.003 | 0.356 | 3.5 ± 0.2 | 3.4 ± 0.2 | 3.5 ± 0.3 | 0.004 | 0.300 | 0.699 | 0.332 | 0.154 | 0.974 | 0.359 | 0.334 |
| Body muscle mass, kg | 26.9 ± 1.3 | 25.4 ± 1.3 | 25.3 ± 1.3 | < 0.001 | 0.297 | 25.9 ± 1.2 | 24.9 ± 1.1 | 24.7 ± 1.2 | 0.001 | 0.187 | 27.6 ± 1.1 | 26.9 ± 1.1 | 26.4 ± 1.1 | 0.002 | 0.530 | 0.622 | 0.582 | 0.102 | 0.911 | 0.843 | 0.994 |
| Right leg muscle mass, kg | 9.1 ± 0.5 | 8.9 ± 0.5 | 8.7 ± 0.4 | 0.082 | 0.597 | 8.3 ± 0.4 | 8.0 ± 0.4 | 8.0 ± 0.4 | 0.004 | 0.781 | 9.3 ± 0.5 | 9.0 ± 0.5 | 8.9 ± 0.5 | 0.003 | 0.655 | 0.336 | 0.300 | 0.261 | 0.986 | 0.937 | 0.990 |
| Left leg muscle mass, kg | 9.0 ± 0.5 | 8.8 ± 0.5 | 8.7 ± 0.4 | 0.043 | 0.272 | 8.2 ± 0.4 | 8.1 ± 0.4 | 8.0 ± 0.4 | 0.003 | 0.766 | 9.1 ± 0.5 | 8.9 ± 0.5 | 8.8 ± 0.5 | 0.009 | 0.560 | 0.363 | 0.345 | 0.342 | 0.978 | 0.942 | 0.987 |
| Conicity index | 1.35 ± 0.02 | 1.30 ± 0.02 | 1.30 ± 0.02 | < 0.001 | 0.817 | 1.32 ± 0.01 | 1.28 ± 0.01 | 1.29 ± 0.01 | < 0.001 | 0.073 | 1.35 ± 0.01 | 1.30 ± 0.02 | 1.31 ± 0.01 | < 0.001 | 0.149 | 0.596 | 0.566 | 0.001 | 0.912 | 0.705 | 0.752 |
Note: Parametric and non‐parametric variables are shown as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. p a: difference in each group from baseline to 12 weeks, p b: difference in each group from 12 to 20 weeks. Differences were tested using the paired samples t‐test and the Wilcoxon test for parametric and non‐parametric variables, respectively. p 12: difference between the three groups at 12 weeks, p 20: difference between the three groups at 20 weeks. Differences were tested using one‐way ANOVA and Kruskal–Wallis tests for parametric and non‐parametric variables, respectively. p time, p time × intervention: derived through comparisons from baseline to 12 weeks (0–12) and from 12 to 20 weeks (12–20) between the three groups adjusted for sex, age, metabolic syndrome, homeostatic model assessment for insulin resistance, BMI, and total fat mass by using linear mixed effects model. Significant p values are bold.
Abbreviations: BMI, body mass index; FFM, fat‐free mass; FFMI, fat‐free mass index; FMI, fat mass index; NCtH, neck‐to‐height ratio; NCtW, neck‐to‐weight ratio; WHR, waist‐to‐hip ratio.
FIGURE 3.

Changes in body composition and body circumferences from baseline to 12 weeks and follow‐up (20 weeks): (a) body weight, (b) total fat mass, (c) total muscle mass, (d) waist circumference, (e) hip circumference, (f) neck circumference, (g) calf circumference and (h) mid‐arm circumference. The vertical lines indicate the end of the intervention. Differences between groups were tested using one‐way ANOVA. The paired sample t‐test was used to test the differences within each group. Data are represented as mean ± standard error of the mean (SEM). eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding.
3.3. Effects on Glucose Metabolism
MD improved glucose metabolism without significant intergroup differences (Table 3, Figure 4a–h). Specifically, the control and eTRF groups exhibited enhanced insulinaemic responses (Figure 4b) and IR, as indicated by HOMA‐IR, FGI ratio and Matsuda index, at 12 weeks, compared to the baseline, unlike the lTRF group, with no intergroup differences (Figure 4f–h). Notably, only eTRF significantly reduced HbA1c (by 0.3%) at 12 weeks from baseline (Table 3, Figure 4e). Glycaemic responses at 12 weeks showed no significant differences in any group (Figure 4a,c) or between groups (p for all > 0.05).
TABLE 3.
Results on glucose metabolism parameters from baseline to 12 weeks.
| Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | Interaction (0–12) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 12 weeks | p a | Baseline | 12 weeks | p a | Baseline | 12 weeks | p a | p 12 | p time | p time × intervention | |
| Fasting plasma glucose, mg/dL | 103.1 ± 4.2 | 97.8 ± 2.9 | 0.060 | 105.8 ± 3.6 | 98.9 ± 3.0 | 0.068 | 99.4 ± 2.7 | 94.5 ± 2.2 | 0.096 | 0.484 | 0.379 | 0.997 |
| 60‐min glucose, mg/dL | 166.9 ± 12.7 | 161.3 ± 11.9 | 0.473 | 182.2 ± 13.6 | 174.3 ± 11.9 | 0.477 | 158.7 ± 12.5 | 144.5 ± 12.6 | 0.106 | 0.225 | 0.936 | 0.806 |
| 120‐min glucose, mg/dL | 124.7 ± 13.8 | 124.1 ± 13.8 | 0.951 | 139.0 ± 12.0 | 124.0 ± 9.0 | 0.146 | 105.3 ± 7.1 | 101.8 ± 8.4 | 0.618 | 0.233 | 0.802 | 0.965 |
| Fasting insulin, mIU/L | 10.5 (7.0, 16.2) | 9.9 (6.6, 14.5) | 0.040 | 11.7 (6.7, 19.3) | 8.1 (4.3, 11.5) | 0.002 | 10.2 (7.5, 14.4) | 9.8 (5.6, 12.0) | 0.102 | 0.361 | 0.195 | 0.552 |
| 60‐min insulin, mIU/L | 71.2 (46.7, 134.7) | 56.3 (34.9, 107.4) | 0.019 | 82.5 (34.5, 148.5) | 68.5 (36.0, 128.3) | 0.277 | 89.6 (46.0, 105.5) | 58.5 (38.6, 111.6) | 0.286 | 0.878 | 0.477 | 0.522 |
| 120‐min insulin, mIU/L | 35.6 (36.7, 72.0) | 42.1 (27.9, 56.9) | 0.557 | 59.1 (27.3, 131.7) | 57.9 (26.8, 99.9) | 0.102 | 48.1 (23.9, 86.5) | 35.2 (11.9, 66.6) | 0.177 | 0.289 | 0.442 | 0.485 |
| Peak glucose, mg/dL | 69.2 ± 10.8 | 68.5 ± 10.3 | 0.923 | 79.4 ± 12.2 | 75.4 ± 10.1 | 0.659 | 61.1 ± 11.2 | 55.0 ± 11.2 | 0.387 | 0.380 | 0.902 | 0.907 |
| Peak time for glucose, min | 66.3 ± 6.3 | 69.5 ± 6.9 | 0.578 | 63.0 ± 6.9 | 60.0 ± 0.0 | 0.666 | 51.0 ± 4.9 | 60.0 ± 7.5 | 0.267 | 0.431 | 0.970 | 0.465 |
| iAUC for glucose, mg*min/dL | 4600.6 ± 819.0 | 4724.2 ± 804.0 | 0.858 | 5678.5 ± 881.9 | 5319.5 ± 785.8 | 0.605 | 4041.1 ± 746.7 | 3181.5 ± 785.4 | 0.206 | 0.241 | 0.974 | 0.824 |
| Peak insulin, mIU/L | 74.1 (30.1, 157.8) | 51.6 (29.1, 107.5) | 0.124 | 78.2 (29.8, 177.4) | 68.3 (34.7, 114.7) | 0.286 | 79.0 (37.3, 110.7) | 55.3, (34.9, 102.4) | 0.616 | 0.879 | 0.225 | 0.600 |
| Peak time for insulin, min | 60.0 (60.0, 120.0) | 60.0 (60.0, 120.0) | 1.000 | 120.0 (60.0, 120.0) | 61.0 (60.0, 120.0) | 0.414 | 60.0 (60.0, 75.0) | 60.0 (60.0, 120.0) | 0.564 | 0.521 | 0.472 | 0.583 |
| iAUC for insulin, mIU*min/L | 4993.5 (2520.0, 9045.0) | 3591.3 (2408.6, 7585.2) | 0.193 | 5502.0 (2598.0, 12366.0) | 5483.4 (2616.0, 8070.6) | 0.349 | 6021.0 (2881.5, 7950.0) | 4558.5 (2340.8, 7028.3) | 0.327 | 0.725 | 0.443 | 0.663 |
| HbA1c, % | 5.5 (5.4, 5.9) | 5.5 (5.4, 5.7) | 0.444 | 5.7 (5.3, 6.0) | 5.4 (5.2, 5.7) | 0.001 | 5.4 (5.2, 5.7) | 5.6 (5.2, 5.7) | 0.190 | 0.469 | 0.669 | 0.826 |
| HOMA‐IR | 3.1 (1.6, 3.8) | 2.4 (1.6, 3.8) | 0.024 | 2.9 (1.8, 5.1) | 1.7 (1.1, 3.0) | 0.001 | 2.6 (1.7, 3.7) | 2.2 (1.1, 3.1) | 0.094 | 0.407 | 0.138 | 0.683 |
| Fasting glucose to insulin ratio | 10.3 ± 1.2 | 10.8 ± 1.1 | 0.615 | 10.6 ± 1.4 | 16.6 ± 2.8 | 0.011 | 10.3 ± 0.9 | 12.3 ± 1.6 | 0.118 | 0.133 | 0.014 | 0.143 |
| Matsuda index | 4.0 ± 0.5 | 5.4 ± 0.8 | 0.014 | 3.9 ± 0.6 | 5.4 ± 0.7 | 0.021 | 4.2 ± 0.6 | 5.3 ± 0.8 | 0.056 | 0.721 | 0.021 | 0.918 |
Note: Parametric and non‐parametric variables are shown as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. p a: difference in each group from baseline to 12 weeks. Differences were tested using the paired samples t‐test and the Wilcoxon test for parametric and non‐parametric variables, respectively. p 12: difference between the three groups at 12 weeks. Differences were tested using one‐way ANOVA and Kruskal–Wallis tests for parametric and non‐parametric variables, respectively. p time, p time × intervention: derived through comparisons from baseline to 12 weeks (0–12) between the three groups adjusted for sex, age, metabolic syndrome, homeostatic model assessment for insulin resistance, body mass index and total fat mass by using linear mixed effects model. Significant p values are bold.
Abbreviations: eTRF, early time‐restricted feeding; HbA1c, glycated haemoglobin A1c; HOMA‐IR, homeostatic model assessment for insulin resistance; iAUC, incremental area under curve; lTRF, late time‐restricted feeding.
FIGURE 4.

Changes in glycaemic parameters from baseline to 12 weeks: (a) blood glucose levels and (b) insulin levels after the OGTT, incremental AUC for (c) glucose and (d) insulin, (e) HbA1c, (f) HOMA‐IR, (g) fasting glucose‐to‐insulin ratio and (h) Matsuda index. Differences between groups were tested using one‐way ANOVA for normally distributed data and with Kruskal–Wallis for skewed data at all time points. The paired samples t‐test and the Wilcoxon test were used to test differences within each group for normal and skewed data, respectively. Normally and non‐normally distributed variables are represented as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. eTRF, early time‐restricted feeding; FGI, fasting glucose‐to‐insulin; HbA1c, glycated haemoglobin A1c; iAUC, incremental area under curve; lTRF, late time‐restricted feeding; OGTT, oral glucose tolerance test.
3.4. Effects on Lipidaemic Profile
Time restriction resulted in differences in TC, LDL, AI and CRI at 12 weeks between the three groups (p for all < 0.05) (Table 4). Both the control and lTRF groups showed improved lipid markers at 12 weeks from baseline, unlike the eTRF group.
TABLE 4.
Results on lipidemic profile, blood pressure and other biochemical parameters from baseline to 12 and 20 weeks.
| Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | Interaction (0–12) | Interaction (12–20) | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 12 weeks | 20 weeks | p a | p b | Baseline | 12 weeks | 20 weeks | p a | p b | Baseline | 12 weeks | 20 weeks | p a | p b | p 12 | p 20 | p time | p time × intervention | p time | p time × intervention | |
| Total cholesterol, mg/dL | 183.0 ± 7.9 | 163.4 ± 6.4 | 0.002 | 188.5 ± 8.6 | 186.7 ± 6.5 | 0.835 | 200.9 ± 8.7 | 186.1 ± 7.3 | 0.009 | 0.029 | 0.222 | 0.453 | |||||||||
| Triglycerides, mg/dL | 111.0 ± 11.0 | 97.9 ± 11.9 | 0.245 | 134.0 ± 12.9 | 125.9 ± 14.9 | 0.280 | 106.8 ± 9.7 | 94.4 ± 8.1 | 0.176 | 0.133 | 0.326 | 0.538 | |||||||||
| LDL, mg/dL | 104.8 ± 7.2 | 89.2 ± 6.0 | 0.002 | 111.6 ± 7.0 | 111.0 ± 5.9 | 0.921 | 123.4 ± 8.0 | 114.6 ± 7.1 | 0.078 | 0.015 | 0.313 | 0.651 | |||||||||
| HDL, mg/dL | 56.4 ± 3.7 | 53.4 ± 3.0 | 0.235 | 48.0 ± 2.5 | 49.1 ± 2.8 | 0.483 | 52.1 ± 2.6 | 49.8 ± 2.1 | 0.290 | 0.474 | 0.618 | 0.818 | |||||||||
| Atherogenic index | 2.0 ± 0.2 | 1.8 ± 0.2 | 0.046 | 2.5 ± 0.3 | 2.4 ± 0.2 | 0.646 | 2.5 ± 0.2 | 2.4 ± 0.2 | 0.399 | 0.018 | 0.414 | 0.852 | |||||||||
| Coronary risk index | 3.4 ± 0.2 | 3.2 ± 0.2 | 0.142 | 4.1 ± 0.3 | 4.0 ± 0.3 | 0.516 | 4.0 ± 0.3 | 3.9 ± 0.2 | 0.321 | 0.028 | 0.433 | 0.795 | |||||||||
| Triglycerides to HDL ratio | 2.2 ± 0.3 | 2.0 ± 0.3 | 0.540 | 3.2 ± 0.4 | 3.0 ± 0.5 | 0.348 | 2.3 ± 0.3 | 2.0 ± 0.2 | 0.367 | 0.114 | 0.498 | 0.695 | |||||||||
| Atherogenic index of plasma | 0.3 ± 0.1 | 0.2 ± 0.1 | 0.332 | 0.4 ± 0.1 | 0.4 ± 0.1 | 0.125 | 0.3 ± 0.1 | 0.3 ± 0.1 | 0.386 | 0.202 | 0.404 | 0.677 | |||||||||
| Systolic blood pressure, mmHg | 127.6 ± 2.7 | 118.2 ± 3.2 | 118.2 ± 2.9 | 0.001 | 0.998 | 130.8 ± 2.9 | 115.1 ± 1.8 | 117.1 ± 1.9 | < 0.001 | 0.286 | 130.0 ± 3.1 | 119.8 ± 2.6 | 124.0 ± 2.8 | 0.001 | 0.067 | 0.429 | 0.128 | < 0.001 | 0.801 | 0.277 | 0.723 |
| Diastolic blood pressure, mmHg | 76.5 ± 1.9 | 70.5 ± 1.7 | 71.5 ± 2.1 | 0.001 | 0.505 | 83.8 ± 1.7 | 73.7 ± 2.1 | 73.5 ± 2.5 | < 0.001 | 0.883 | 79.1 ± 2.5 | 75.0 ± 2.1 | 75.4 ± 2.5 | 0.037 | 0.822 | 0.245 | 0.520 | < 0.001 | 0.494 | 0.632 | 0.960 |
| Uric acid, mg/dL | 5.3 ± 0.3 | 5.4 ± 0.4 | 0.761 | 5.7 ± 0.3 | 5.4 ± 0.3 | 0.197 | 5.7 ± 0.3 | 5.5 ± 0.3 | 0.231 | 0.981 | 0.831 | 0.969 | |||||||||
| Creatinine, mg/dL | 0.83 ± 0.04 | 0.83 ± 0.04 | 0.935 | 0.78 ± 0.03 | 0.808 ± 0.04 | 0.249 | 0.88 ± 0.04 | 0.85 ± 0.04 | 0.121 | 0.716 | 0.799 | 0.754 | |||||||||
| C‐reactive protein, mg/L | 1.5 (0.8, 2.7) | 1.0 (0.4, 1.4) | 0.214 | 0.9 (0.5, 1.5) | 0.5 (0.2, 2.1) | 0.170 | 2.0 (0.7, 3.7) | 1.0 (0.3, 3.3) | 0.074 | 0.662 | 0.773 | 0.759 | |||||||||
| Ferritin, ng/mL | 79.2 (39.8, 163.0) | 64.3 (28.0, 139.0) | 0.314 | 83.1 (47.3, 216.3) | 108.6 (48.0, 208.5) | 0.627 | 107.8 (66.1, 179.5) | 99.0 (53.3, 172.4) | 0.550 | 0.602 | 0.638 | 0.614 | |||||||||
| Urine ketone bodies, % yes/% no | 5.3/94.7 | 10.5/89.5 | < 0.001 | 5.0/95.0 | 0.0/100.0 | 1.000 | 0.0/100.0 | 5.0/95.0 | 1.000 | 0.517 | |||||||||||
Note: Parametric and non‐parametric variables are shown as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. Categorical values are shown as frequencies (%). p a: difference in each group from baseline to 12 weeks, p b: difference in each group from 12 to 20 weeks. Differences were tested using the paired samples t‐test and the Wilcoxon test for parametric and non‐parametric variables, respectively. p 12: difference between the three groups at 12 weeks, p 20: difference between the three groups at 20 weeks. Differences were tested using one‐way ANOVA and Kruskal–Wallis tests for parametric and non‐parametric variables, respectively. p time, p time × intervention: derived through comparisons from baseline to 12 weeks (0–12) and from 12 to 20 weeks (12–20) between the three groups adjusted for sex, age, metabolic syndrome, homeostatic model assessment for insulin resistance, body mass index and total fat mass by using linear mixed effects model. Significant p values are bold.
Abbreviations: eTRF, early time‐restricted feeding; HDL, high‐density lipoprotein; lTRF, late time‐restricted feeding; LDL, low‐density lipoprotein.
3.5. Effects on Blood Pressure
All three groups adhering to modified MDs showed significant reductions in systolic BP (SBP) (7%–12%) and diastolic BP (DBP) (5%–12%) at 12 weeks, compared to the baseline (p for all < 0.05), with no intergroup differences (Table 4). Neither SBP nor DBP changed at the 20‐week follow‐up compared to 12 weeks in any group, with no differences between groups (p for all > 0.05) (Table 4).
3.6. Effects on Liver Biochemistry and Imaging
MD resulted in reduced liver enzyme levels at 12 weeks, with no significant differences among the three groups (Table 5). The control and eTRF groups showed improved AST and/or ALT levels at 12 weeks compared to the baseline. Additionally, GGT levels decreased in the control and lTRF groups at 12 weeks from baseline. All three groups exhibited reduced liver steatosis (6.5%–9.5%) at 12 weeks compared to the baseline (p for all < 0.05), with no differences among them (Figure 5a). Liver stiffness decreased by 5.9% only in the eTRF group at 12 weeks compared to the baseline, with no significant differences between groups (Figure 5b).
TABLE 5.
Results on liver biochemistry and imaging from baseline to 12 weeks.
| Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | Interaction (0–12) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 12 weeks | p a | Baseline | 12 weeks | p a | Baseline | 12 weeks | p a | p 12 | p time | p time × intervention | |
| Aspartate aminotransaminase, U/L | 23.8 (19.0, 33.0) | 18.8 (15.0, 23.0) | 0.019 | 22.5 (17.0, 27.8) | 20.0 (17.0, 24.8) | 0.434 | 21.0 (15.5, 35.3) | 22.5 (18.3, 25.8) | 0.309 | 0.396 | 0.041 | 0.266 |
| Alanine aminotransaminase, U/L | 32.0 (20.0, 51.0) | 19.0 (15.4, 29.0) | 0.010 | 27.0 (19.8, 37.5) | 24.0 (18.3, 27.0) | 0.024 | 22.5 (16.0, 45.8) | 22.5 (17.8, 32.0) | 0.235 | 0.476 | 0.008 | 0.143 |
| Gamma‐glutamyl transferase, U/L | 26.0 (15.0, 70.0) | 20.0 (14.0, 33.0) | 0.001 | 30.5 (22.8, 67.5) | 21.5 (18.0, 41.5) | 0.073 | 26.0 (20.3, 76.5) | 20.5 (15.3, 49.8) | 0.004 | 0.595 | 0.083 | 0.882 |
| Albumin, g/dL | 4.4 ± 0.1 | 4.4 ± 0.1 | 0.918 | 6.6 ± 2.1 | 4.6 ± 0.1 | 0.343 | 4.5 ± 0.1 | 4.5 ± 0.1 | 0.374 | 0.465 | 0.219 | 0.263 |
| Liver steatosis, dB/m | 292.9 ± 9.0 | 264.6 ± 11.9 | 0.001 | 292.1 ± 10.3 | 264.4 ± 8.0 | < 0.001 | 280.1 ± 9.6 | 261.5 ± 8.6 | 0.037 | 0.981 | 0.001 | 0.733 |
| Liver stiffness, kPa | 5.4 (4.2, 6.6) | 4.8 (4.4, 5.7) | 0.066 | 5.1 (4.6, 5.5) | 4.8 (4.3, 5.7) | 0.030 | 5.3 (4.6, 5.9) | 5.2 (4.4, 5.5) | 0.074 | 0.870 | 0.325 | 0.391 |
Note: Parametric and non‐parametric variables are shown as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. p a: difference in each group from baseline to 12 weeks. Differences were tested using the paired samples t‐test and the Wilcoxon test for parametric and non‐parametric variables, respectively. p 12: difference between the three groups at 12 weeks. Differences were tested using one‐way ANOVA and Kruskal–Wallis tests for parametric and non‐parametric variables, respectively. p time, p time × intervention: derived through comparisons from baseline to 12 weeks (0–12) between the three groups adjusted for sex, age, metabolic syndrome, homeostatic model assessment for insulin resistance, body mass index and total fat mass by using linear mixed effects model. Significant p values are bold.
Abbreviations: eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding.
FIGURE 5.

Changes in liver steatosis (a) and liver stiffness (b) from baseline to 12 weeks. Differences between groups were tested using one‐way ANOVA for normally distributed data and with Kruskal–Wallis for skewed data at all time points. The paired samples t‐test and the Wilcoxon test were used to test differences within each group for normal and skewed data, respectively. Normally and non‐normally distributed variables are represented as mean ± standard error of the mean (SEM) and median and interquartile range (25th, 75th), respectively. eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding.
3.7. Effects on Other Parameters
MD did not significantly alter uric acid, creatinine, ferritin or CRP levels after 12 weeks in any group, with no differences between groups (p for all > 0.05) (Table 4).
3.8. Effects on Subjective Appetite
There were no differences among the three groups in VAS scores at 12 or 20 weeks compared to the baseline (Figure 6a–g). Perceived fullness increased at 12 weeks compared to the baseline in both the control and eTRF groups (p < 0.001 and p = 0.017, respectively) (Figure 6b). Additionally, the eTRF group had higher thirst rates at follow‐up than at 12 weeks (p = 0.025) (Figure 6d). The lTRF group showed a reduction in prospective food consumption at 12 weeks compared to the baseline (p = 0.027) (Figure 6f).
FIGURE 6.

Changes in subjective appetite VAS scores during the intervention and follow‐up: (a) hunger, (b) perceived fullness, (c) desire to eat, (d) thirst, (e) preoccupation with food, (f) prospective food consumption and (g) pleasure due to the intervention. All scores were recorded in the morning. Pleasure due to the intervention was not assessed during follow‐up visits. The vertical lines indicate the end of the intervention. Differences between groups were tested using one‐way ANOVA. The paired samples t‐test was used to test differences within each group. Data are represented as mean ± standard error of the mean (SEM), n = 59. eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding; VAS, Visual Analogue Scale.
3.9. Compliance With the Intervention
Adherence to the intervention (both time schedule and MD diet plan and composition), based on 12 collected 7‐day food diaries, was 91.7% (77 of 84 days) for the control group, 95.1% (79.9 of 84 days) for the eTRF group and 94% (79 of 84 days) for the lTRF group, with no significant compliance differences between groups (p = 0.305). Notably, participants in both TRF groups continued a fasting window exceeding 12 h daily post‐intervention without prompting, as shown in Table 6. Physical activity levels remained consistent from baseline to 12 weeks and from 12 weeks to follow‐up across all groups, with no significant differences (p for all > 0.05) (Table 6, Figure 7).
TABLE 6.
Results on physical activity and eating window from baseline to 12 (intervention) and 20 (follow‐up) weeks.
| Control (n = 19) | eTRF (n = 20) | lTRF (n = 20) | Interaction (0–12) | Interaction (12–20) | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | Intervention | Follow‐up | p a | p b | p c | Baseline | Intervention | Follow‐up | p a | p b | p c | Baseline | Intervention | Follow‐up | p a | p b | p c | p 12 | p 20 | p time | p time × intervention | p time | p time × intervention | |
| Physical activity, MET‐min/week | 1682.5 ± 374.8 | 1844.6 ± 333.9 | 2269.0 ± 683.8 | 0.537 | 0.396 | 0.396 | 1942.3 ± 392.2 | 1975.0 ± 397.0 | 2065.8 ± 541.6 | 0.948 | 0.839 | 0.839 | 1973.2 ± 404.1 | 1775.0 ± 317.3 | 2455.7 ± 683.1 | 0.556 | 0.343 | 0.343 | 0.919 | 0.910 | 0.602 | 0.835 | 0.260 | 0.914 |
| Eating window, hh:mm | 12:50 ± 0:38 | 12:02 ± 00:20 | 12:11 ± 00:18 | 0.058 | 0.793 | 0.341 | 12:56 ± 00:19 | 09:32 ± 00:06 | 10:59 ± 00:16 | < 0.001 | < 0.001 | 0.002 | 12:33 ± 00:43 | 09:27 ± 00:10 | 10:15 ± 00:28 | < 0.001 | 0.090 | 0.005 | < 0.001 | 0.002 | < 0.001 | 0.001 | 0.003 | 0.167 |
| Fasting window, hh:mm | 11:09 ± 00:38 | 11:57 ± 00:20 | 11:48 ± 00:18 | 0.058 | 0.792 | 0.343 | 11:03 ± 00:19 | 14:27 ± 00:06 | 13:00 ± 00:16 | < 0.001 | < 0.001 | 0.002 | 11:26 ± 00:43 | 14:32 ± 00:10 | 13:44 ± 00:28 | < 0.001 | 0.090 | 0.005 | < 0.001 | 0.002 | < 0.001 | 0.001 | 0.003 | 0.166 |
| Time of first meal, hh:mm | 09:01 ± 00:33 | 08:54 ± 00:17 | 08:34 ± 00:14 | 0.512 | 0.614 | 0.500 | 08:01 ± 00:15 | 08:41 ± 00:06 | 09:03 ± 00:15 | 0.012 | 0.311 | 0.027 | 08:48 ± 00:31 | 11:37 ± 00:25 | 10:56 ± 00:25 | < 0.001 | 0.169 | 0.003 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | 0.637 | 0.132 |
| Time of last meal, hh:mm | 21:41 ± 00:17 | 21:21 ± 00:16 | 20:45 ± 00:15 | 0.175 | 0.023 | < 0.001 | 20:57 ± 00:14 | 18:16 ± 00:04 | 20:03 ± 00:19 | < 0.001 | < 0.001 | 0.024 | 20:10 ± 01:07 | 21:05 ± 00:26 | 21:12 ± 00:10 | 0.483 | 0.749 | 0.364 | < 0.001 | 0.010 | 0.232 | 0.011 | 0.034 | 0.001 |
Note: Data are shown as mean ± standard error of the mean (SEM). p a: difference in each group from baseline to 12 weeks, p b: difference in each group from 12 to 20 weeks, p c: difference in each group from baseline to 20 weeks. Differences were tested using the paired samples t‐test. p 12: difference between the three groups at 12 weeks, p 20: difference between the three groups at 20 weeks. Differences were tested using one‐way ANOVA. p time, p time × intervention: derived through comparisons from baseline to 12 weeks (0–12) and from 12 to 20 weeks (12–20) between the three groups adjusted for sex, age, metabolic syndrome, homeostatic model assessment for insulin resistance, body mass index and total fat mass by using a linear mixed effects model. Significant p values are bold.
Abbreviations: eTRF, early time‐restricted feeding; lTRF, late time‐restricted feeding.
FIGURE 7.

Changes in physical activity from baseline to 6, 12 and 20 weeks (follow‐up). Differences between groups were tested using one‐way ANOVA at all time points, and paired samples t‐test was used to test differences within each group (p for all > 0.05). Data are presented as mean ± standard error of the mean (SEM), n = 59. eTRF, early time‐restricted feeding; IPAQ, International Physical Activity Questionnaire; lTRF, late time‐restricted feeding.
The three groups did not differ in their main sleeping characteristics (wake‐up time, bedtime and sleeping duration), which also remained unchanged during the intervention in all groups (p for all > 0.05); however, there were differences in the morning and evening latency at 12 and 20 weeks (see Table S2). The morning latency changed in both the eTRF and lTRF groups at 12 weeks compared to the baseline, while the evening latency changed in the eTRF from baseline to 12 weeks and from 12 weeks to 20 weeks (see Table S2). These results are in agreement with the nature of the intervention.
4. Discussion
This is the first RCT to investigate the effects of a hypocaloric MD‐type 14:10 TRF protocol in patients with MASLD, using unrestricted MD as a control, and to compare early and late hypocaloric Mediterranean‐type 14:10 TRF in this population. Our findings confirmed the beneficial effects of MD on weight loss and cardiometabolic risk factors [9]. MD improved body composition, anthropometric indices, and BP across all groups by the end of the 12‐week study. Notably, MD combined with early eating enhanced glucose metabolism, indicated by HbA1c and IR indices improvements, while the unrestricted MD reduced TC, LDL and all liver enzyme (AST, ALT, GGT) levels at 12 weeks. Interestingly, all modified MD interventions were equally accepted over time, with no differences between them, and all groups maintained their weight loss for 2 months post‐study.
Our previous systematic review demonstrated that TRF significantly contributes to weight loss when combined with a hypocaloric diet [13]. In our current study, both the TRF and control groups achieved over 5% weight loss at 12 weeks, corroborating our earlier findings and indicating that TRF does not provide any further favourable effects on weight loss in the context of a hypocaloric MD diet. Literature indicates lower body weight in ad libitum TRF studies compared to controls [18, 20, 22], with no significant weight loss differences between eTRF and lTRF [21] or between eTRF and control groups on hypocaloric diets [19]. Similar trends were observed for WC [19, 20, 21, 22] and fat mass [19, 20, 21] in MASLD patients. However, in the previous studies [18, 19, 20, 21, 22], MD was not used as a control, while TRF groups did not adhere to a hypocaloric MD diet. Additionally, waist‐to‐hip ratios reduction in both TRF groups suggests a lowered risk of weight‐related conditions like type 2 diabetes or CVD [46]. Recent studies link measurements of NC, neck‐to‐height (NCtH) ratio and neck‐to‐weight (NCtW) ratio to liver fat and upper‐body adiposity [47]. MD intervention reduced NC and NCtH and increased NCtW across all three groups, indicating effective MASLD management [47].
Skipping or moving dinner earlier can improve glycaemic responses and reduce IR [48]. In our study, a hypocaloric Mediterranean‐type eTRF protocol and an unrestricted MD improved fasting insulin, HOMA‐IR and Matsuda index, whereas HbA1c and FGI ratio were ameliorated only in the eTRF group. Starting eating earlier in the day, as happened in the eTRF and the unrestricted MD groups, is in alignment with the circadian rhythms of insulin sensitivity, which may explain the effects on IR, while increasing the fasting window in this context may lead to further favourable effects on glucose metabolism [48]. Although late eating has been associated with worsened glucose levels [48], in our study, lTRF did not negatively affect glucose metabolism, indicating the favourable effects of MD. A network meta‐analysis ranked MD as the most effective dietary approach for improving postprandial hyperglycaemia and IR [49]. Results partially agree with Wei et al. and Deng et al., who revealed improvements in FPG, HbA1c, fasting insulin levels and HOMA‐IR in eTRF and lTRF groups under calorie‐restricted conditions [19, 21]. The three groups did not differ in any glycaemic parameter at 12 weeks, as observed in other RCTs [18, 19, 20, 22].
The unrestricted MD group showed lower TC and LDL levels and AI at 12 weeks, indicating a reduced risk of atherosclerosis and coronary heart disease [28, 29]. Kord‐Varkaneh et al. showed that the TRF group (isocaloric low‐sugar diet) had ameliorated TG and LDL levels compared with the control group (isocaloric typical diet) [20]. The eTRF group showed no significant change in lipid markers, while the lTRF group showed decreased TC levels in our study. These results partially disagree with other studies in MASLD patients, where TRF groups showed reduced TG [18, 19, 20], TC [19, 20] and LDL [19, 20] levels and increased HDL levels [19, 21] post‐intervention, compared to the baseline, with or without hypocaloric diets. The differences between early TRF and control and/or late TRF groups in lipid markers may be due to different pre‐testing fasting [12]. Longer durations of fasting may contribute to the re‐esterification of TG after lipolysis and in the hepatic and intramuscular storage of TG (a short‐term adverse reaction to dietary changes) [50, 51, 52, 53]. However, the data are limited, and the studies usually are not powered, like ours, to detect statistically significant differences in lipids after a TRF protocol [52].
Studies consistently show positive effects of TRF (with or without caloric restriction) on BP in individuals with MASLD [18, 19, 22], corroborating our findings. All groups in our study exhibited clinically significant improvements in both SBP and DBP. Kandzari et al. define a meaningful improvement as a decrease of 5–10 mmHg for SBP and 3–5 mmHg for DBP [54], with a 7 mmHg reduction in SBP potentially lowering major CVD events [25]. Weight loss likely moderates BP improvement [55].
Research indicates a 5% body weight reduction alleviates liver steatosis, whereas a 7%–10% loss is needed to reduce inflammation and histological disease activity [3]. All groups in our study achieved clinically significant weight loss and reduced liver steatosis. Studies on TRF, whether ad libitum or hypocaloric, in MASLD patients, report improvements in CAP measurements and intrahepatic fat [19, 20, 21, 22]. Liver stiffness was improved only in the eTRF group, with no significant differences between groups at 12 weeks, suggesting the result may be statistically, not clinically, significant due to the study's short duration. Most studies also found no difference in liver stiffness between intervention groups [18, 19, 21, 22], except Wei et al.'s study, which noted improvements in both eTRF and control groups, but this was observed after a 12‐month caloric restriction [19].
Our findings on liver enzymes are mixed and not entirely consistent with the existing literature. TRF and caloric restriction alone generally improve AST, ALT and GGT levels in MASLD patients [19, 20, 21, 22]. However, in our study, eTRF improved only ALT levels, and lTRF decreased GGT levels, with no differences among the three groups at the intervention's end, consistent with most studies [19, 21, 22]. Additionally, we found that the unrestricted MD group improved AST, ALT and GGT levels, contrary to a recent meta‐analysis of 10 RCTs by Del Bo et al., which showed no effect of MD on ALT and GGT levels [56]. Nevertheless, the liver enzyme levels do not adequately reflect the severity of liver damage [57].
The study has notable strengths. Few studies have compared early and late TRF, particularly in conjunction with a Mediterranean‐type diet in MASLD individuals. This is the first study to measure glycaemic and insulinaemic responses after an OGTT in the MASLD population and to conduct an 8‐week follow‐up post‐intervention. However, the study had limitations. Although participants were diagnosed with MASLD, indicating liver steatosis and at least one cardiometabolic risk factor [3], there was significant variability in these factors among participants. Future studies should address each factor individually to determine whether these dietary regimens are more beneficial, enabling more structured and individualised clinical practice for MASLD patients. Moreover, we did not measure circadian clock genes to evaluate changes in metabolic parameters considering circadian rhythms, which would be of great interest. Further RCTs with longer durations and larger samples are needed to validate these findings, analysed by both per protocol and intention‐to‐treat principles, and provide more evidence on the role of TRF and/or MD in modulating MASLD‐related metabolic disorders.
5. Conclusion
This 12‐week RCT validated the positive effects of MD, the standard treatment for MASLD patients, on weight loss and cardiometabolic risk factors. Notably, combining MD with eTRF reduced HbA1c and IR levels. However, late eating within the MD framework did not impair glucose metabolism or cardiometabolic profile, highlighting the importance of a balanced diet for those who eat late due to lifestyle. Our findings suggest that a 14:10 TRF protocol with a Mediterranean hypocaloric diet may be an effective, accepted and well‐tolerated alternative nutritional treatment for MASLD individuals.
Author Contributions
Sofia Tsitsou: investigation, formal analysis, writing – original draft, methodology. Triada Bali: investigation. Magdalini Adamantou: investigation. Aristi Saridaki: investigation. Kalliopi‐Anna Poulia: writing – review and editing. Dimitrios S. Karagiannakis: investigation. Emilia Papakonstantinou: conceptualization, supervision, writing – review and editing, methodology. Evangelos Cholongitas: conceptualization, project administration, writing – review and editing, methodology, investigation.
Ethics Statement
This study was conducted in accordance with the Declaration of Helsinki. It was approved by the Bioethics Committee of the Agricultural University of Athens (EIDE Reference Number: 40/27.04.2022) and the Scientific Committee of ‘Laiko’ General Hospital (716/26‐11‐2022).
Consent
Participants received all relevant information and provided written consent.
Conflicts of Interest
The authors declare no conflicts of interest.
Authorship
Guarantors of the article: Emilia Papakonstantinou and Evangelos Cholongitas.
Supporting information
Data S1.
Acknowledgements
The authors are grateful to all the volunteers in this study for their participation. Some of the data were presented as an oral presentation at the 60th Annual Meeting of the European Association for the study of Diabetes (EASD) in 2024 and as a poster presentation at the 14th European Nutrition Conference (FENS) in 2023.
Handling Editor: Daniel Huang
Funding: The authors received no specific funding for this work.
Contributor Information
Emilia Papakonstantinou, Email: emiliap@aua.gr.
Evangelos Cholongitas, Email: echolog@med.uoa.gr, Email: cholongitas@yahoo.gr.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
