Literature DB >> 29201070

Rapid Weight Loss vs. Slow Weight Loss: Which is More Effective on Body Composition and Metabolic Risk Factors?

Damoon Ashtary-Larky1,2, Matin Ghanavati3, Nasrin Lamuchi-Deli2, Seyedeh Arefeh Payami2, Sara Alavi-Rad2, Mehdi Boustaninejad4, Reza Afrisham5, Amir Abbasnezhad6, Meysam Alipour2,7.   

Abstract

BACKGROUND: Achieving weight loss (WL) in a short time regardless of its consequences has always been the focus of many obese and overweight people. In this study, anthropometric and metabolic effects of two diets for rapid and slow WL and their consequences were examined.
METHODS: Forty-two obese and overweight individuals were randomly divided to 2 groups; rapid WL (weight loss of at least 5% in 5 weeks) and slow WL (weight loss of at least 5% in 15 weeks). To compare the effects of the rate of WL in 2 groups, the same amount of was achieved with different durations. Anthropometric indices, lipid, and glycemic profiles, and systolic and diastolic blood pressures were evaluated before and after the intervention.
RESULTS: Both protocols of rapid WL and slow WL caused reduction in waist circumference, hip circumference, total body water, body fat mass, lean body mass, and resting metabolic rate (RMR). Further reduction in waist circumference, hip circumference, fat mass, and percentage of body fat was observed in slow WL and decreased total body water, lean body mass, fat free mass, and RMR was observed in rapid WL. Improvement in lipid and glycemic profiles was observed in both groups. Reduction of low-density lipoprotein and fasting blood sugar, improvement of insulin resistance, and sensitivity were more significant in rapid WL in comparison to slow WL.
CONCLUSIONS: Weight Loss regardless of its severity could improve anthropometric indicators, although body composition is more favorable following a slow WL. Both diets improved lipid and glycemic profiles. In this context, rapid WL was more effective. (IRCT2016010424699N2).

Entities:  

Keywords:  Body Composition; Diet; Insulin Resistance; Obesity; Weight Loss

Year:  2017        PMID: 29201070      PMCID: PMC5702468          DOI: 10.5812/ijem.13249

Source DB:  PubMed          Journal:  Int J Endocrinol Metab        ISSN: 1726-913X


1. Background

The prevalence of obesity is increasing and according to the latest statistics of the world health organization, 13% of adults worldwide are obese and 39% are overweight (1). Obesity increases the risk of metabolic diseases, cancer, and cataract (2, 3). Statistics have shown that obesity and its consequences have high costs for communities (4). There is a positive association between body mass index (BMI) and direct and indirect (due to premature deaths) health care costs. Indirect costs of obesity (54% to 59%) have been reported more than the direct costs (5). In the last century, due to the increasing prevalence of obesity and its hidden costs, control and treatment of obesity requires more attention. Weight loss (WL) in obese patients, in addition to improving clinical conditions, will increase the recognition and quality of life (6, 7). In order to lose weight, various methods, such as diet, physical activity, drug therapy, and surgery have been suggested. Given the potential side effects of drug therapy and surgery, dietary interventions for WL have always been the first priority for the subjects (8). However, a variety of diets for WL have been suggested. The difference in body composition (muscle loss and dehydration), metabolic effects, and the return of weight has been reported (9, 10). In a meta-analysis study, weight return had been reported in most participants (77%), who followed WL diets (11). In a classification of diets based on calorie restrictions and speed of WL, diets are divided to rapid WL, moderate WL, and slow WL. Although many studies recommended gradual WL diets for obese patients, many people would like to lose their excess weight in the shortest time (12). A significant number of people believe that rapid WL has side effects and cannot have beneficial clinical effects similar to slow WL. However, a systematic review found that people, who follow severe calorie-restricted diets will not have an eating disorder and will be able to maintain their lost weight (13). Several studies have shown that rapid WL with high calorie-restriction could cause an improvement of clinical state in obese individuals (14, 15). Harder et al. reported that rapid WL could significantly decrease weight, triglycerides, total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, fasting blood glucose (FBS), hemoglobin A1c, and fasting serum insulin (FINS) (16). Also, Wahlroos et al. reported that a significant decrease in waist circumference, body mass index (BMI), subcutaneous abdominal fat volume, and insulin resistance occurred after rapid WL (17). However, it seems that the effects of metabolic and anthropometric from slow WL are different from rapid WL. In a pilot study, the difference between these 2 diets on anthropometric status was reported (18). Also, Yudai et al. showed that body weight and total intra-abdominal fat mass in the rapid and slow WLs decreased to the same extent, yet muscle atrophy was significantly higher with rapid than slow WL (19). The review of studies showed that metabolic differences of these 2 types of diets are still unclear.

2. Objectives

The aim of this clinical trial study was to evaluate the effects of glycemic and lipid parameters of the two protocols on WL in obese and overweight people.

3. Methods

This double-blind clinical trial study was conducted on 42 obese and overweight individuals (25 < BMI < 35). Participants were selected from those, who referred to a nutrition clinic (Ahvaz, Iran). Participants were screened based on the inclusion and exclusion criteria. Inclusion criteria were lack of physical activity, no smoking, no alcohol drinking, no usage of herbal supplements and vitamins, and lack of weight changes in the last 6 months. Exclusion criteria included pregnancy, breastfeeding, use of drugs that effect metabolism, lipid and glycemic profile, eating disorder, diabetes, cardiovascular disease, kidney problems, thyroid, digestive, respiratory diseases, and cancer. Participants consuming more than 300 mg of caffeine daily (described as caffeine users) were excluded from the study (20). The level of physical activity was assessed weekly by phone. The subjects, who had moderate or various physical activities, were excluded from the study. At the beginning, individuals were selected from the nutrition clinic. The initial screening had been done after a brief explanation of the study, and preliminary evaluation was done by phone. Next, a meeting with complete description of the protocol and justification for the study was arranged for the volunteers. The final screening was carried out in accordance with the inclusion and exclusion criteria. Eligible individuals, after filling the consent form, were randomly divided to 2 groups, rapid WL and slow WL. Prior to WL, an ambulatory run-in period was imposed for each subject to insure stabilization of body weight (± 2 kg during 4 weeks). During the body weight stabilization, a three-day food dietary record was used to determine an individual’s daily food and beverage consumption to estimate their total daily caloric intake (2 weekdays and 1 weekend day). The subjects were randomly divided (according to age, gender and BMI) into two groups (rapid WL and slow WL). Rapid WL and slow WL, based on the lost weight (at least 5 %), were defined over a period of 5 weeks and 15 weeks, respectively (18). The prescribed calorie-restricted diet contained 15% protein, 30% to 35% fat, and 50% to 55% carbohydrate, on average, in order to provide WL. In general, the meal plans included 3 main meals (breakfast, lunch, and dinner) and three snacks (mid-morning, mid-afternoon, and bedtime), and low saturation and trans fats, cholesterol, salt (sodium), and added sugars. All diets were designed according to Dietary Guidelines for Americans, 2010 (21). Low-calorie diets produced an energy deficit of 500 to 750 and 1000 to 1500 kcal per day for slow and rapid WL, respectively. At the end of the study, anthropometric and biochemical assessments were conducted on the individuals (18 individuals in rapid WL and 18 individuals in slow WL), who reached the desired WL. All subjects provided their written informed consent, and the study protocol was approved by the ethics committee of Jundishapur University of Medical Sciences (Act No. IR.AJUMS.REC.1394.212). Body weight and body composition were measured using the direct segmental multi-frequency bioelectrical impedance method (Inbody 230, Biospace, Korea) (22). The measurements presented were fasting state, shortly after waking in the morning, and at a dehydrated state. Standing height without shoes was measured using a stadiometer. Body Mass Index was calculated with the following formula: weight (kg) / height2 (m2). Waist circumference was obtained at the level of the noticeable waist narrowing, located approximately half way between the costal border and the iliac crest and the level of the greatest posterior protuberance. Hip circumference was also measured in the region of the greatest posterior protuberance and at approximately the symphysion pubis level, anteriorly. Blood pressure was measured using an automatic blood pressure monitor (BM65, Beurer, Germany) after subjects rested for more than 10 minutes. All anthropometric and blood pressure measurements were done in triplicates and the mean was calculated for each subject. Resting metabolic rate was measured at baseline and following the dietary intervention by indirect calorimetry (FitMate, Cosmed, Rome, Italy), using resting oxygen uptake (VO2). Blood samples (5 mL) were collected at the beginning and at end of the study during the 12-hour fasting condition. The samples were centrifuged at a low level and serum was separated. Biochemical measurements were performed immediately after sampling. Fasting blood sugar (FBS), high-density lipoprotein (HDL), very low-density lipoprotein (VLDL), triglycerides (TG), and TC were measured by an auto-analyzer (Hitachi, USA). The Friedewald formula was used to calculate LDL levels. Fasting serum insulin concentration was measured by enzyme linked immunosorbent assay (ELISA) kits (Mercodia). The homeostatic model assessment (HOMA) was calculated with the formula: HOMA-IR = [FBS (mg/dL)*FINS (μU/mL)] / 405. (23). Quantitative insulin sensitivity check index (QUICKI) was calculated on the basis of suggested formulas: 1 / [log (Insulin μU/mL) + log (Glucose mg/dL)]. (24). The HOMA-B (pancreatic beta cell function) was computed as follow: 20 × FINS (μIU/mL)/fasting glucose (mmol/mL)-3.5. Insulin sensitivity was derived using the formula: HOMA-S (insulin sensitivity) = 22.5/(insulin (mU/L) × glucose (mmol/L)). All biochemical assays were performed in duplicates and the mean was calculated for each subject. Statistical analyses were conducted using SPSS version 19.0 (SPSS Inc., Chicago, IL, USA). The data were checked for normality using the Kolmogorov-Smirnov test. Independent sample t test (for normally distributed variables) and Mann-Whitney U test (for non-normally distributed variables) were used to compare baseline values between the 2 groups. Moreover, in order to assay differences before and after the intervention within groups, paired sample t test (for normally distributed variables) and Wilcoxon test (for non-normally distributed variables) were used. Data were reported as mean ± standard error. P values of <0.05 were considered significant.

4. Results

Of the forty-two participants assigned to the trial, thirty-six subjects completed the study (n = 18 in slow WL group and n = 18 in rapid WL group). During the study, 3 individuals in the rapid WL group (medication consumption and discontinued) and 3 in the slow WL group (disinclination, medication consumption, and migration) were excluded (Figure 1). No significant side effect in the two study groups was detected.
Figure 1.

Flow Chart of the Study

Baseline characteristics in rapid WL and slow WL groups are shown in Table 1. No significant differences were observed in baseline characteristics between the 2 groups (P > 0.05).
Table 1.

Baseline Characteristics of the Study in Both Groups[a]

VariablesSlow Weight Loss (n = 18)Rapid Weight Loss (n = 18)P Value[b]
Age (years) 37.1 ± 11.234.4 ± 11.1NS
Female - N (%) 13 (72.2%)13 (72.2%)NS
Height (cm) 161.4 ± 7.7163.9 ± 9.7NS
BMI (kg/m 2 ) 34.2 ± 8.132.0 ± 6.3NS
PBF (%) 42.5 ± 7.139.1 ± 10.2NS
SBP (mmHg) 132.8 ± 18.9133.0 ± 17.4NS
DBP (mmHg) 83.7 ± 9.482.7 ± 8.7NS
Weight loss (%) 6.2 ± 1.26.0 ± 0.8NS

Abbreviations: DBP, diastolic blood pressure; N (%), percentage of female participants; PBF, percentage of body fat; SBP, systolic blood pressure; Weight loss (%), the percentage of body weight loss (baseline weight - post intervention weight/baseline weight) × 100.

aAll values were means ± SD.

bBaseline slow weight loss group vs. baseline fast weight loss group (independent-sample t test for normally distributed variables and Mann-Whitney U for non-normally distributed variables).

Abbreviations: DBP, diastolic blood pressure; N (%), percentage of female participants; PBF, percentage of body fat; SBP, systolic blood pressure; Weight loss (%), the percentage of body weight loss (baseline weight - post intervention weight/baseline weight) × 100. aAll values were means ± SD. bBaseline slow weight loss group vs. baseline fast weight loss group (independent-sample t test for normally distributed variables and Mann-Whitney U for non-normally distributed variables). As shown in Table 2, WL is statically the same in both groups (-5.47 ±1.46 and -5.12 ± 1.12 for slow and rapid WL, respectively, P > 0.05). The results of body composition, systolic and diastolic blood pressure, and heart rate are given in Table 2. A significant reduction in anthropometric indices and RMR were detected in both groups. Significant differences in blood pressure and heart rate were seen in the 2 groups. Waist circumference and hip circumference in slow WL group had a significant reduction compared to the rapid WL group.
Table 2.

Anthropometric Status at Baseline and After the Intervention in Both Groups[a]

VariablesSlow Weight Loss (n = 18)Rapid Weight Loss (n = 18)Δ
BaselineEndBaselineEndIntragroup[b]Intragroup[c]Intergroup[d]
Weight (kg) 86.9 ± 16.181.4 ± 15.185.5 ± 15.380.3 ± 14.5-5.47 ± 1.46[e]-5.12 ± 1.12[e]0.35 ± 0.43
BMI (kg/m 2 ) 34.2 ± 8.032.1 ± 7.632.0 ± 6.330.0 ± 6.0-2.10 ± 0.52[e]-1.92 ± 0.43[e]0.17 ± 0.16
WC (cm) 98.9 ± 15.792.8 ± 15.098.3 ± 13.793.7 ± 13.2-6.09 ± 1.60[e]-4.57 ± 1.72[e]1.52 ± 0.55[f]
HC (cm) 101.6 ± 9.096.5 ± 8.4104.4 ± 8.0101.2 ± 7.4-5.07 ± 1.10[e]-3.11 ± 2.15[e]1.95 ± 0.57[f]
WHR 0.96 ± 0.10.95 ± 0.10.94 ± 0.10.92 ± 0.1-0.01 ± 0.01[e]-0.01 ± 0.01[e]-0.001 ± 0.001
SBP (mmHg) 132.5 ± 18.6128.0 ± 17.6133 ± 17.4130.1 ± 17.0-4.52 ± 12.12-2.88 ± 11.871.63 ± 4.00
DBP (mmHg) 83.7 ± 9.482.1 ± 8.982.7 ± 8.782.1 ± 8.1-1.61 ± 5.50-0.66 ± 6.610.94 ± 2.02
Heart rate 97.3 ± 15.797.1 ± 13.196.8 ± 15.094.2 ± 12.4-0.30 ± 9.54-2.58 ± 11.98-2.27 ± 3.61
RMR (kcal) 1583.1 ± 2171560.1 ± 213.91638.6 ± 281.71579.3 ± 270.5-22.9 ± 26.5[f]-59.3 ± 32.6[e]-36.3 ± 9.9[e]
LBM (kg) 27.5 ± 5.627.0 ± 5.628.9 ± 7.327.4 ± 7.0-0.52 ± 0.75[f]-1.51 ± 0.80[e]-0.98 ± 0.25[e]
FM (kg) 37.3 ± 11.232.8 ± 10.933.6 ± 12.530.7 ± 11.9-4.52 ± 1.71[f]-2.92 ± 1.34[e]1.59 ± 0.51[f]
PBF (%) 42.5 ± 7.139.8 ± 7.939.1 ± 10.237.9 ± 10.5-2.72 ± 1.75[f]-1.15 ± 1.44[f]1.57 ± 0.53[f]
TBW (kg) 36.3 ± 6.735.5 ± 6.638.0 ± 8.736.3 ± 8.4-0.72 ± 0.85[e]-1.66 ± 0.85[e]-0.93 ± 0.28[f]
FFM (kg) 49.5 ± 9.248.5 ± 9.951.7 ± 11.849.5 ± 11.2-0.98 ± 1.17[f]-2.21 ± 1.22[e]-1.23 ± 0.40[f]
Arm lean (kg) 5.4 ± 1.45.3 ± 1.35.8 ± 2.05.6 ± 1.8-0.10 ± 0.27-0.25 ± 0.53-0.15 ± 0.14
Trunk lean(kg) 22.7 ± 4.122.4 ± 4.024.1 ± 5.723.1 ± 5.5-0.29 ± 0.75-1.01 ± 0.51[e]-0.72 ± 0.21[f]
Feet lean (kg) 14.9 ± 3.014.5 ± 2.915.4 ± 3.414.9 ± 3.4-0.45 ± 0.57[f]-0.47 ± 0.35[e]-0.02 ± 0.15
Arm FM (kg) 6.7 ± 3.25.3 ± 2.75.8 ± 4.05.0 ± 3.5-1.46 ± 1.42[e]-0.78 ± 0.59[e]0.68 ± 0.36
Arm fat (%) 52.0 ± 11.147.7 ± 12.245.8 ± 17.243.9 ± 17.2-4.25 ± 2.62[e]-1.87 ± 2.20[f]2.37 ± 0.80[f]
Trunk FM (kg) 18.2 ± 4.216.5 ± 4.716.9 ± 4.515.5 ± 4.7-1.72 ± 1.35[e]-1.40 ± 0.65[e]0.31 ± 0.35
Trunk Fat (%) 42.9 ± 5.540.6 ± 6.639.9 ± 8.538.6 ± 9.0-2.27 ± 1.89[f]-1.25 ± 1.37[e]1.02 ± 0.55
Feet FM (kg) 10.9 ± 3.88.9 ± 2.99.5 ± 4.08.8 ± 3.7-1.93 ± 2.32[f]-0.65 ± 0.54[e]1.28 ± 0.56[f]
Feet fat (%) 40.2 ± 8.237.5 ± 8.336.4 ± 11.235.4 ± 11.3-2.70 ± 1.49[e]-1.03 ± 1.36[f]1.67 ± 0.47[e]

Abbreviations: BMI, body mass index; DBP, diastolic blood pressure; FFM, fat free mass; HC, hip circumference; LBM, lean boey mass; PBF, percent of body fat; SBP, systolic blood pressure; TBW, total body water; WC, waist circumference; WHR, waist-hip ratio.

aAll values are means ± SE.

bChanges post-baseline in slow weight loss group.

cChanges post-baseline in rapid weight loss group.

dChanges between groups, for normally distributed variables, paired-sample t test and independent-sample t test were used to investigate differences within and between groups, respectively. For non-normally distributed variables, the Wilcoxon signed rank and Mann-Whitney U tests were used to assess differences within and between groups, respectively.

eSignificant differences were assumed at P < 0.001.

fSignificant differences were assumed at P < 0.05.

Abbreviations: BMI, body mass index; DBP, diastolic blood pressure; FFM, fat free mass; HC, hip circumference; LBM, lean boey mass; PBF, percent of body fat; SBP, systolic blood pressure; TBW, total body water; WC, waist circumference; WHR, waist-hip ratio. aAll values are means ± SE. bChanges post-baseline in slow weight loss group. cChanges post-baseline in rapid weight loss group. dChanges between groups, for normally distributed variables, paired-sample t test and independent-sample t test were used to investigate differences within and between groups, respectively. For non-normally distributed variables, the Wilcoxon signed rank and Mann-Whitney U tests were used to assess differences within and between groups, respectively. eSignificant differences were assumed at P < 0.001. fSignificant differences were assumed at P < 0.05. A significant reduction in body fat (fat mass (FM), Body fat percentage, Arm fat percentage, feet FM, feet fat percentage) was observed in the slow WL group compared to the rapid WL group. In addition, a significant reduction in lean mass (lean body mass (LBM), fat free mass (FFM), Trunk lean) and total body water and RMR was seen in the rapid WL group compared to the slow WL group. The glycemic and lipid profiles are shown in Table 3. Triglyceride and VLDL levels and insulin indices (FINS, HOMA-IR, and HOMA-S) showed a significant decrease in both groups. In addition, QUICKI increased significantly in both groups, yet no significant differences were shown between the 2 groups. Although the level of FBS and FINS changed significantly, especially in the rapid WL group, the drop in HOMA-B was not statistically significant. A significant reduction in LDL, FBS, and TC was seen in the rapid WL group. In addition, a significant reduction in HOMA-IR, HOMA-S, FBS, and LDL was seen in rapid WL group compared to the slow WL group.
Table 3.

Lipid and Glycemic Profile at Baseline and After Six Weeks in Both Groups[a]

VariablesSlow Weight Loss (n = 18)Rapid Weight Loss (n =18)Δ
BaselineEndBaselineEndIntragroup[b]Intragroup[c]Intergroup[d]
LDL (mg/dL) 105.9 ± 34.3111.8 ± 26.5120.9 ± 28.7108.1 ± 27.15.91 ± 30.95-12.8 ± 14.4[f]-18.7 ± 8.04[f]
HDL (mg/dL) 37.8 ± 5.439.7 ± 6.243.9 ± 9.545.1 ± 6.31.90 ± 5.951.16 ± 6.08-0.73 ± 1.99
TG (mg/dL) 145.3 ± 65.8109.6 ± 50.1163.8 ± 70.5118.5 ± 52.3-35.6 ± 45.5[f]-45.3 ± 56.8[f]-9.66 ± 17.17
VLDL (mg/dL) 29.0 ± 13.121.9 ± 10.232.7 ± 14.123.7 ± 10.47-7.11 ± 9.12[f]-9.05 ± 11.37[f]-1.93 ± 3.43
TC (mg/dL) 172.4 ± 40.5173.5 ± 35.3194.2 ± 39.6176.8 ± 31.41.06 ± 33.64-17.4 ± 19.6[f]-18.4 ± 9.1
FBS (mg/dL) 95.1 ± 11.199.0 ± 6.7100.8 ± 18.895.0 ± 9.83.92 ± 10.36-5.87 ± 11[f]-9.80 ± 3.57[f]
FINS (μIU/l) 13.2 ± 4.711.5 ± 5.411.2 ± 4.97.6 ± 4.3-1.96 ± 2.52[f]-3.93 ± 3.61[e]-0.06 ± 1.96
HOMA-IR 1.7 ± 0.61.4 ± 0.61.5 ± 0.71.0 ± 0.5-0.24 ± 0.6[f]-0.43 ± 0.46[e]-0.18 ± 049[f]
HOMA-B 126.1 ± 26.2100.7 ± 23.4106.6 ± 5086.9 ± 42.9-24.4 ± 25.8-18.8 ± 45.55.36 ± 41.2
HOMA-S 64.4 ± 19.579.3 ± 29.684.7 ± 48.9131.7 ± 67.714.3 ± 21.2[e]44.2 ± 60.8[f]26.1 ± 35.3[f]
QUICKI 0.32 ± 0.010.33 ± 0.020.33 ± 0.020.36 ± 0.030.01 ± 0.01[f]0.03 ± 0.03[e]1.16 ± 6.08[f]

Abbreviations:TG, triglyceride; TC, total cholesterol; FBS, fasting blood sugar; FINS, fasting insulin; HOMA-IR, homeostasis model assessment insulin resistance; HOMA-B, HOMA-pancreatic beta cell function; HOMA-S, HOMA-insulin sensitivity; QUICKI, quantitative insulin sensitivity check index.

aAll values are means ± SD.

bChanges post-baseline in slow weight loss group.

cChanges post-baseline in rapid weight loss group.

dChanges between groups, for normally distributed variables, paired-samples t test and independent-sample t-test were used to investigate the differences within and between groups, respectively. For non-normally-distributed variables, the Wilcoxon signed ranks test and a Mann -Whitney U test were used to assess differences within and between groups, respectively.

eSignificant differences were assumed at P < 0.001.

fSignificant differences were assumed at P < 0.05.

Abbreviations:TG, triglyceride; TC, total cholesterol; FBS, fasting blood sugar; FINS, fasting insulin; HOMA-IR, homeostasis model assessment insulin resistance; HOMA-B, HOMA-pancreatic beta cell function; HOMA-S, HOMA-insulin sensitivity; QUICKI, quantitative insulin sensitivity check index. aAll values are means ± SD. bChanges post-baseline in slow weight loss group. cChanges post-baseline in rapid weight loss group. dChanges between groups, for normally distributed variables, paired-samples t test and independent-sample t-test were used to investigate the differences within and between groups, respectively. For non-normally-distributed variables, the Wilcoxon signed ranks test and a Mann -Whitney U test were used to assess differences within and between groups, respectively. eSignificant differences were assumed at P < 0.001. fSignificant differences were assumed at P < 0.05.

5. Discussion

The results of the current study showed that both protocols of rapid WL and slow WL caused a reduction in waist circumference, hip circumference, total body water, body fat mass, FFM, LBM, and RMR. Greater reduction of waist circumference, hip circumference, and FFM was seen with slow WL and greater reduction of total body water, LBM, and RMR was seen with rapid WL. It seems that the effect of slow WL in maintaining body water and LBM (as a metabolic tissue) was more significant than rapid WL. In previous studies, elevated ratio of myostatin-to-follistatin, as an indicator of skeletal muscle catabolism, was reported to be greater in rapid WL compared to slow WL (25). The results were consistent with other studies in this field (26). In a study by Martin et al., the impact of these 2 protocols had been compared on the indices of anthropometric and lipid profiles. Their study was conducted in the form of a pilot study on obese postmenopausal females. The results of their study showed that slow WL caused more fat mass reduction and less FFM loss. However, in their study, no differences in lipid profile were observed between slow WL and rapid WL (18). No significant changes were observed in systolic and diastolic blood pressure in any of these 2 diets, although a non-significant reduction in average blood pressure at the end of the study was observed in both groups. It seems that the effects of weight-loss diets on the decrease of blood pressure was more concrete in people with hypertension (27). Consistent with the current study, several studies did not support the impact of WL on blood pressure in people, who had normal blood pressure (16, 28). The current study showed that both protocols of WL could improve components of the lipid and glycemic profiles. In addition, in this study it was found that with the same amount of WL, the impact on reducing levels of FBS and LDL, and improvement of insulin resistance and sensitivity was greater with rapid WL. Positive effects of rapid WL on metabolic factors were reported in several studies. Consistent with the current study, recent findings indicate that slow weight loss, as recommended by current guidelines, worldwide, is not a priority over rapid weight loss. Purcell et al. in a clinical trial studied the effect of weight loss rate and weight management. Their results showed that in the long-term, with rapid weight loss (450 to 800 Kcal/day) than gradual weight loss (500 kcal less than the daily requirement), the weight loss is faster and more stable. The researchers suggested that the limited carbohydrate intake of very-low-calorie diets might promote greater satiety and less food intake by inducing ketosis. Losing weight quickly may also motivate participants to persist with their diet and achieve better results (29). Evidence suggests that rapid weight loss through improvements in markers of oxidative stress could improve metabolic factors. Tumova et al. reported that rapid weight loss (800 kcal daily consisting of liquid beverages) could, through reducing oxidized low density lipoprotein (ox-LDL) cause a decrease in total cholesterol. In addition, rapid weight loss could, through reducing the activity of Lipoprotein-associated phospholipase A2 (Lp-PLA2), cause a decrease in levels of LDL-C, TC, and insulin in people with metabolic syndrome (30). Roberts et al. also reported that short-term diet (21-Day) and exercise intervention for males with metabolic syndrome factors could, through reducing level of inflammatory markers, such as myeloperoxidase (MPO), cause improvement in lipid risk factors and HOMA-IR (30). Consistent with the current study, improvement of metabolic factors after 4 weeks of VLCD was reported in a study by Erik et al. In this study, it was found that VLCD in the short-term intervention could cause a significant reduction in the levels of blood glucose, cholesterol, and TG in a fasting condition (27). The study of Laaksonen et al. showed that administration of VLCD diet for 5 weeks improved metabolic factors and decreased cutaneous water loss and increased subcutaneous fat water. This researcher suggested that WL and consequent improved insulin sensitivity could mediate an increase in abdominal subcutaneous fat hydration (31). The results suggest that WL could improve anthropometric status and lipid and glycemic profiles regardless of calorie restriction and the speed of WL. However, there could be some differences between the 2 protocol types of WL in terms of impact. The WL regardless of its severity could improve anthropometric indicators, although body composition is more favorable following a slow WL. Both diets improved lipid and glycemic profiles. In this context, rapid WL was more effective. Many studies have suggested that rapid weight loss may serve as a risk factor for later weight regain. Thus, a limitation of the current study was that it did not evaluate weight regain.
  26 in total

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Journal:  Am J Clin Nutr       Date:  2014-04-30       Impact factor: 7.045

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Authors:  L Claudia Pop; Deeptha Sukumar; Katherine Tomaino; Yvette Schlussel; Stephen H Schneider; Chris L Gordon; Xiangbing Wang; Sue A Shapses
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7.  Comparative effect of two Mediterranean diets versus a low-fat diet on glycaemic control in individuals with type 2 diabetes.

Authors:  A Lasa; J Miranda; M Bulló; R Casas; J Salas-Salvadó; I Larretxi; R Estruch; V Ruiz-Gutiérrez; M P Portillo
Journal:  Eur J Clin Nutr       Date:  2014-02-12       Impact factor: 4.016

8.  A very low-carbohydrate, low-saturated fat diet for type 2 diabetes management: a randomized trial.

Authors:  Jeannie Tay; Natalie D Luscombe-Marsh; Campbell H Thompson; Manny Noakes; Jon D Buckley; Gary A Wittert; William S Yancy; Grant D Brinkworth
Journal:  Diabetes Care       Date:  2014-07-28       Impact factor: 19.112

9.  The impact of rapid weight loss on oxidative stress markers and the expression of the metabolic syndrome in obese individuals.

Authors:  Eva Tumova; Wensheng Sun; Peter H Jones; Michal Vrablik; Christie M Ballantyne; Ron C Hoogeveen
Journal:  J Obes       Date:  2013-12-19

10.  Healthy Eating Index in Patients With Cataract: A Case-Control Study.

Authors:  Matin Ghanavati; Maryam Behrooz; Bahram Rashidkhani; Damoon Ashtray-Larky; Seyed Davood Zameni; Meysam Alipour
Journal:  Iran Red Crescent Med J       Date:  2015-10-28       Impact factor: 0.611

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  14 in total

1.  Impact of Protein Intake during Weight Loss on Preservation of Fat-Free Mass, Resting Energy Expenditure, and Physical Function in Overweight Postmenopausal Women: A Randomized Controlled Trial.

Authors:  Isabell Englert; Anja Bosy-Westphal; Stephan C Bischoff; Kathrin Kohlenberg-Müller
Journal:  Obes Facts       Date:  2021-05-11       Impact factor: 3.942

2.  Does green tea extract enhance the anti-inflammatory effects of exercise on fat loss?

Authors:  Reza Bagheri; Amir Rashidlamir; Damoon Ashtary-Larky; Alexei Wong; Meysam Alipour; Mohamad S Motevalli; Amel Chebbi; Ismail Laher; Hassane Zouhal
Journal:  Br J Clin Pharmacol       Date:  2020-02-04       Impact factor: 4.335

3.  The Influence of Habitual Protein Intake on Body Composition and Muscular Strength in Career Firefighters.

Authors:  Katie R Hirsch; Andrew J Tweedell; Craig R Kleinberg; Gena R Gerstner; T J Barnette; Jacob A Mota; Abbie E Smith-Ryan; Eric D Ryan
Journal:  J Am Coll Nutr       Date:  2018-04-27       Impact factor: 3.169

4.  Body Composition Changes Following a Very-Low-Calorie Pre-Operative Diet in Patients Undergoing Bariatric Surgery.

Authors:  Jonathan Sivakumar; Lynn Chong; Salena Ward; Tom R Sutherland; Matthew Read; Michael W Hii
Journal:  Obes Surg       Date:  2020-01       Impact factor: 4.129

5.  The effects of exercise and low-calorie diets compared with low-calorie diets alone on health: a protocol for systematic reviews and meta-analyses of controlled clinical trials.

Authors:  Sara Beigrezaei; Zeinab Yazdanpanah; Sepideh Soltani; Seyede Hamide Rajaie; Sahar Mohseni-Takalloo; Tayebeh Zohrabi; Mojtaba Kaviani; Scott C Forbes; Julien S Baker; Amin Salehi-Abargouei
Journal:  Syst Rev       Date:  2021-04-20

6.  Waist Circumference to Height Ratio: Better Correlation with Fat Mass Than Other Anthropometric Indices During Dietary Weight Loss in Different Rates.

Authors:  Damoon Ashtary-Larky; Sevana Daneghian; Meysam Alipour; Hossein Rafiei; Matin Ghanavati; Reza Mohammadpour; Wesam Kooti; Pouya Ashtary-Larky; Reza Afrisham
Journal:  Int J Endocrinol Metab       Date:  2018-08-28

7.  Absolute Weight Loss, and Not Weight Loss Rate, Is Associated with Better Improvements in Metabolic Health.

Authors:  Jennifer L Kuk; Rebecca A G Christensen; Sean Wharton
Journal:  J Obes       Date:  2019-01-29

8.  Association between the UBE2Z rs46522 and TCF7L2 rs7903146 polymorphisms with type 2 diabetes in south western Iran.

Authors:  Ali Mohammad Foroughmand; Sana Shafidelpour; Merhrnoosh Zakerkish; Mehdi Pourmehdi Borujeni
Journal:  Afr Health Sci       Date:  2019-09       Impact factor: 0.927

9.  Ketogenic diets, physical activity and body composition: a review.

Authors:  Damoon Ashtary-Larky; Reza Bagheri; Hoda Bavi; Julien S Baker; Tatiana Moro; Laura Mancin; Antonio Paoli
Journal:  Br J Nutr       Date:  2021-07-12       Impact factor: 4.125

10.  Rationale and Protocol for a Randomized Controlled Trial Comparing Fast versus Slow Weight Loss in Postmenopausal Women with Obesity-The TEMPO Diet Trial.

Authors:  Radhika V Seimon; Alice A Gibson; Claudia Harper; Shelley E Keating; Nathan A Johnson; Felipe Q da Luz; Hamish A Fernando; Michael R Skilton; Tania P Markovic; Ian D Caterson; Phillipa Hay; Nuala M Byrne; Amanda Sainsbury
Journal:  Healthcare (Basel)       Date:  2018-07-20
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