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The effect of dietary carbohydrate and calorie restriction on weight and metabolic health in overweight/obese individuals: a multi-center randomized controlled trial

BMC Medicine volume 21, Article number: 192 (2023) Cite this article

Abstract

Background

Both low‐carbohydrate (LC) and calorie-restricted (CR) diets have been shown to have metabolic benefits. However, the two regimens have yet to be thoroughly compared. We conducted a 12-week randomized trial to compare the effects of these diets separately and in combination on both weight loss and metabolic risk factors in overweight/obese individuals.

Methods

A total of 302 participants were randomized to LC diet (n = 76), CR diet (n = 75), LC + CR diet (n = 76), or normal control (NC) diet (n = 75) using a computer-based random number generator. The primary outcome was the change in body mass index (BMI). The secondary outcomes included body weight, waist circumference, waist-to-hip ratio, body fat, and metabolic risk factors. All participants attended health education sessions during the trial.

Results

A total of 298 participants were analyzed. BMI change over 12 weeks was − 0.6 (95% CI, − 0.8 to − 0.3) kg/m2 in NC, − 1.3 (95% CI, − 1.5 to − 1.1) kg/m2 in CR, − 2.3 (95% CI, − 2.6 to − 2.1) kg/m2 in LC, and − 2.9 (95% CI, − 3.2 to − 2.6) kg/m2 in LC + CR. LC + CR diet was more effective than LC or CR diet alone at reducing BMI (P = 0.001 and P < 0.001, respectively). Furthermore, compared with the CR diet, the LC + CR diet and LC diet further reduced body weight, waist circumference, and body fat. Serum triglycerides were significantly reduced in the LC + CR diet group compared with the LC or CR diet alone. Plasma glucose, homeostasis model assessment of insulin resistance, and cholesterol concentrations (total, LDL, and HDL) did not change significantly between the groups during the 12-week intervention.

Conclusions

The reduction of carbohydrate intake without restricting caloric intake is more potent to achieve weight loss over 12 weeks when compared to a calorie-restricted diet in overweight/obese adults. The combination of restricting carbohydrate and total calorie intake may augment the beneficial effects of reducing BMI, body weight, and metabolic risk factors among overweight/obese individuals.

Trial registration

The study was approved by the institutional review board of Zhujiang Hospital of Southern Medical University and registered at the China Clinical Trial Registration Center (registration number: ChiCTR1800015156).

Peer Review reports

Background

Obesity and its associated metabolic abnormalities have become a major public health challenge worldwide. From 1993 to 2015, obesity (BMI ≥ 27.5 m/kg2) increased from 4.2 to 15.7%, and abdominal obesity (≥ 90 cm for men and ≥ 80 cm for women) increased from 20.2 to 46.9% in China [1]. The overweight and obesity rate in adults has reached 34.3 and 16.4% according to the latest research, respectively [2]. It is estimated that China can expect a staggering 65.3% overweight/obesity by 2030 [3]. Obesity is characterized by excessive adipose tissue and is closely related to type 2 diabetes, hypertension, and cardiovascular disease [4]. Thus, a great deal of current research is focused on developing an optimal and effective treatment for obesity.

Dietary interventions have been proven to be an effective method for weight loss [4,5,6,7]. Traditionally, a calorie-restricted diet rich in fiber, with a percentage of total energy intake > 50% from carbohydrates and limited in fat, has been generally accepted and recommended by guidelines [8,9,10]. Calorie restriction improves metabolic health and glucose homeostasis [11, 12]. The beneficial effects of a calorie-restricted diet were believed to be the result of reduced caloric intake, although recent studies suggest that the reduction of specific macronutrients like carbohydrates may also provide viable treatment strategies in the management of obesity [13, 14]. Differences in the health benefits of a low-carbohydrate diet compared to a calorie-restricted diet are of considerable public interest. Several trials have found greater weight loss with a low-carbohydrate diet than with a low-calorie diet [15,16,17,18], while others reported no differences [19,20,21,22]. These findings complicate the interpretation of dietary intervention studies, as it is unclear which effects of weight loss result from reduced caloric intake, and which instead are attributable to the low carbohydrate.

In this study, we aimed to conduct a 12-week randomized controlled trial to compare the contribution of the weight loss effects of a calorie-restricted diet alone (low-calorie, high-to-moderate carbohydrate) with that of a low-carbohydrate diet alone (low-carbohydrate, without calorie restriction). We also evaluated whether the combination of dietary carbohydrates and calorie restriction could augment weight loss and improve the metabolic risk factors in overweight/obese individuals.

Methods

Study design and participants

This study was a multicenter, randomized, parallel-group clinical trial with participants allocated in a 1:1:1:1 ratio to normal control (NC) diet, low-carbohydrate (LC) diet, calorie-restricted (CR) diet, or LC + CR diet for 12 weeks. The randomization schedules were generated using a centrally controlled, computer-generated random number Internet-based system and concealed until an eligible participant was ready for enrollment.

All study participants were recruited from 13 hospitals in Guangdong Province, China, from April to July 2018. The trial protocol is available in Additional file 1 [4,5,6, 8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. The inclusion criteria were an age of 18–65 years and a body mass index (the weight in kilograms divided by the square of the height in meters) of at least 24 kg/m2. Individuals were excluded if they had a history of diabetes mellitus, cardiovascular and cerebrovascular disease, uncontrolled hypertension, gastrointestinal tract disorders, chronic hepatitis, gastrointestinal surgery, and allergies to proteins such as beans, wheat, and milk. In addition, participants were excluded if they took weight loss medications or anticipated a weight loss program.

The study was approved by the institutional review board of Zhujiang Hospital of Southern Medical University and registered at the China Clinical Trial Registration Center (https://www.chictr.org.cn), and the registration number is ChiCTR1800015156. All participants provided written informed consent before enrollment.

Diet interventions

Participants in the NC group were designed to follow a non-restricted calorie diet with 55–65% of calories from carbohydrates, 30% from fat, and 20% from protein. The CR diet group restricted daily calories to 1200–1500 kcal/day with 55–65% of calories from carbohydrates, 30% from fat, and 20% from protein. Participants in the LC group were instructed to follow a non-restricted calorie diet with 26% of calories from carbohydrates, 50% from fat, and more than 24% from protein. The LC + CR group was instructed to restrict daily calories to 1200–1500 kcal/day with 26% of calories from carbohydrates, 50% from fat, and more than 24% from protein. Participants in the LC and LC + CR groups were provided with one nutritional bar (Nanda Fit Nutrition and Health Consulting Co., Ltd., Guangzhou, China) as the low-carbohydrate replacement at lunch and dinner and were instructed to consume low-carbohydrate grains, vegetables, fruits, and legumes. All the aliments were in accordance with dietary guidelines and previous studies for macronutrient intake [18, 23, 24, 28, 33]. Diets were structured to include specific foods. Additional file 2: Table S1 listed a quantitative food record that participants completed daily in different diet groups. All the participants met weekly for counseling sessions with dietitians who will provide dietary plans and advice over the 12-week period. The education session typically lasted 40 min and consisted of dietary advice, meal plans, and supportive counseling provided by registered dietitians for each participant.

All the participants were instructed to photograph the food they ate and write a daily dietary log to record macronutrients, nutrition labels, and detailed dietary recipes 3 days per week (including 2 working days and 1 weekend day). Using each participant’s log and their photographic identification of the food they ate, two researchers assessed participants’ nutrient intake on the basis of the nutrient content listed in the Chinese Food Composition Table [33]. Furthermore, participants were required to wear a Mi Band 2 Smart Bracelet (Xiaomi, Beijing, China) during the whole experimental process to record their regular physical activity. Participants were advised to do regular exercise 3 times a week with durations of 30 min. Adherence to the intervention program was defined according to the number of days that a participant met the requirements of the assigned diet. In addition, occurrences of any adverse event were collected throughout the study. Detailed recording of adverse events is available in Additional file 1.

Outcomes and follow-up

The primary outcome was change in body mass index (BMI). The secondary outcomes included changes in body weight, body fat, waist circumference, waist-to-hip ratio (WHR), and metabolic risk factors. Body fat was quantified using IOI353 Body Composition Analyser (Jawon Medical, Gyeongsansi, South Korea). Blood samples were collected, after participants had fasted for over 8 h, to measure plasma glucose, fasting insulin, serum total cholesterol, serum triglyceride, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), uric acid, alanine aminotransferase (ALT), and aspartate aminotransferase (AST). Insulin resistance was evaluated by homeostasis model assessment-insulin resistance index (HOMA-IR), calculated as [plasma glucose (mmol/L) × serum insulin (mIU/L)]/22.5. All study outcomes were measured at baseline and weeks 4, 8, and 12.

Statistical analysis

Based on data from previous studies [26, 27, 29, 30], this trial was designed to provide 85% power to detect a − 0.6 kg/m2 reduction in BMI [standard deviation (SD), − 0.6 kg/m2] between any 2 groups at 12 weeks at a significant level of 0.05 using a 2-tailed t-test. We also assumed an 80% follow-up rate.

All analyses were conducted in both the ITT and completer samples. A mixed-effects model was used to assess the effects of diet programs on the change in BMI, and an autoregressive correlation matrix was used to correct within-participant correlation for repeated measurements. In this model, participants were assumed to be random effects and intervention group, time and their 2-factor interactions, age, center, and sex were assumed to be estimable fixed effects that can be estimated. The PROC MIXED component of the SAS statistical software, version 9.4 (SAS Institute Inc.), was used to obtain point estimates and standard errors (SEs) of the treatment effects and to test for differences between treatments. Multiple imputations for missing data in the multivariable analyses were conducted using the Markov Chain Monte Carlo method. To determine the significant main effects and interactions between carbohydrates and calories, data were analyzed using factorial design ANOVA and two-way ANOVA using the general linear model procedures of SAS (Cary, NC). ANOVA results are presented in figure legends. When the interaction was not significant, the main effects were evaluated to assess the significance of the individual factors. Group differences in the study outcomes were evaluated using the general linear model for continuous variables and the chi-squared test for categorical variables. Data were presented as least-squares means with 95% confidence intervals (CIs) unless otherwise indicated. P-values < 0.05 was considered as indicating statistical significance.

Results

Baseline characteristic

The flow of participants is shown in Fig. 1. A total of 302 eligible overweight/obese participants (209 females, 93 males) were randomly assigned to the NC group (n = 75), LC group (n = 76), CR group (n = 75), and LC + CR group (n = 76). A total of 298 participants were included in the ITT analysis (Table 1). On average, the age of included individuals was 34.0 ± 7.3 years, body weight was 80.8 ± 15.1 kg, BMI was 30.3 ± 4.0 kg/m2, HOMA-IR was 3.5 ± 2.6, and FPG was 93.6 ± 9.2 mg/dL. Baseline characteristics were well balanced among the four groups. A total of 261 participants finally completed the 12-week follow-up visit were included in the completer analysis (Additional file 2: Table S2), with a dropout rate of 14.9% (NC group, 17.3%; LC group, 11.8%; CR group, 17.3%; LC + CR group 9.2%). Proportionally, more men (18.8%) than women (11.0%) dropped out, although these results were not statistically significant.

Fig. 1
figure 1

Flowchart of trial participants. NC, control; LC, low carbohydrate; CR, calorie restriction

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Table 1 Baseline characteristics of study participantsa
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Dietary intake and adherence

The four groups reported similar physical activity during 12 weeks (Additional file 2: Table S3, P = 0.260). The dietary intake of energy and macronutrients during the 12-week intervention is shown in Table 2. There were no differences in calorie intake between the CR diet and LC + CR diet group (P = 0.211), whereas calorie intake was lower in the LC diet group than in the NC group (P = 0.006). In addition, there were no differences in carbohydrate intake between the LC diet group and the LC + CR diet group (P = 0.25) and between the NC group and the CR diet group (P = 0.445). Furthermore, the LC diet group had higher calorie intake than the CR diet group (P < 0.001), while the CR diet group had higher carbohydrate intake than the LC diet group (P < 0.001). The results for completer analyses were consistent with the ITT results (Additional file 2: Table S4).

Table 2 Energy and nutrition intake during follow-up
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During the 12-week intervention, the mean (± SD) percentage of the days that participants adhered to both the prescribed calories and carbohydrates was 84.9 ± 32.3% in the NC group, 90.3 ± 21.9% in the LC group, 84.6 ± 26.2% in the CR group, and 87.2 ± 24.2% in the LC + CR group. No significant difference was observed between the groups over 12 weeks (P = 0.626, Additional file 2: Fig. S1 and Table S5).

Weight loss and body composition

BMI change over 12 weeks was − 0.6 (− 0.8, − 0.3) kg/m2 in NC diet, − 1.3 (− 1.5, − 1.1) kg/m2 in CR diet, − 2.3 (− 2.6, − 2.1)kg/m2 in LC diet, and − 2.9 (− 3.2, − 2.6) kg/m2 in LC + CR diet (P < 0.001 for all, Table 3). Despite CR and LC + CR diets reducing similar calorie intake, there were clear differences between the effect of diets. The BMI reductions were significantly greater with the LC + CR than the CR diet when compared with the NC group (P < 0.001). When comparing the weight loss effect between calorie restriction and low carbohydrate, we found that BMI reduction is stronger in LC diet than in CR diet. The net change in BMI in the LC diet group was − 1.0 (− 1.4, − 0.7) kg/m2 (P < 0.001) compared with the CR diet group. The LC + CR diet group lost 55.1% more BMI than the CR diet group (− 2.3 [− 2.7, − 2.0] kg/m2 vs − 0.7 [− 1.1, − 0.3] kg/m2, respectively, P < 0.001) and lost 21.5% more BMI than the LC diet group (− 2.3 [− 2.7, − 2.0] kg/m2 vs − 1.7 [− 2.1, − 1.4] kg/m2, respectively, P = 0.001, Fig. 2).

Table 3 Effects of dietary intake on weight loss and body fat after the 12-week intervention
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Fig. 2
figure 2

Effects of different dietary intake on BMI. A Changes in BMI over 12 weeks in 4 groups. B Changes and net change in BMI over 12 weeks in the LC diet groups. The net change in BMI in the LC diet group was −0.6 (−0.9, −0.2) kg/m2 compared with the LC+CR diet group (P < 0.001). C Changes and net change in BMI over 12 weeks in the CR diet groups. The net change in BMI in the CR diet group was − 1.6 (−2.0, −1.3) kg/m2 compared with the LC+CR diet group (P < 0.001). D Changes and net change in BMI over 12 weeks in the LC diet group and CR diet group. The net change in BMI in the LC diet group was −1.0 (−1.4, −0.7) kg/m2 compared with the CR diet group (P < 0.001). Total numbers for each diet group are as follows: NC diet, n=74; LC diet, n=76; CR diet, n=72; LC + CR diet, n=76. NC, control; LC, low carbohydrate; CR, calorie restriction. Numbers in parentheses are 95% CIs. ×P < 0.05, *P < 0.001

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Among participants who began the low-carbohydrate diet, 77.6% achieved the target of ≥ 5% weight loss and 17.1% achieved the target of ≥ 10% weight loss at 12 weeks. Similarly, the LC + CR diet group showered a large reduction in body weight than either the LC diet group (− 2.0 [− 2.9, − 1.0] kg, P < 0.001) or the CR diet group (− 4.5[− 5.5, − 3.6] kg, P < 0.001). But there was still a significant difference between the changes in the LC and CR groups, with the net change in body weight in the LC diet group being − 2.6 (− 3.5, − 1.6) kg compared with the CR diet group at 12 weeks (P < 0.001, Table 3).

We examined the contribution of carbohydrate and calorie restriction on body composition. We found all three restricted diets reduced waist circumference significantly after 12 weeks. Reduction was significantly greater with LC + CR than LC diet (− 1.4 [-2.4, − 0.4] cm, P = 0.009) or CR diet (− 3.6 [− 4.7, − 2.6] cm, P < 0.001). Similarly, waist circumference was reduced more in the LC diet compared with the CR diet (− 2.2 [− 3.3, − 1.2] cm, P < 0.001). Besides, the LC + CR diet group showed significant larger reductions in WHR (− 0.02 [− 0.03, − 0.01], P = 0.020] and body fat percentage (− 2.4 [− 3.1, − 1.8] %, P < 0.001) than the CR diet group (Table 3).

Completer analyses also showed that the LC diet group lost more weight than people in the CR diet group (− 6.1 [− 10.8, − 1.3] kg vs − 3.1 [− 8.0, 1.8] kg, P < 0.001), although energy intake throughout the intervention was significantly lower with CR. Weight reduction was largest among LC + CR diet when compared with CR or LC diet alone (Additional file 2: Table S6).

Metabolic risk factors

Fasting glucose, HOMA-IR, total cholesterol, HDL-cholesterol, and LDL cholesterol decreased to the same extent between the three dietary interventions. We observed that fasting triacylglycerol was significantly improved only in the LC + CR diet intervention (P < 0.001) and not in LC diet (P = 0.19) or CR diet (P = 0.704). Besides, uric acid was significantly reduced in three different diet group (Table 4, P < 0.001 for all). The results for completer analyses were consistent with the ITT results (Additional file 2: Table S7).

Table 4 Effects of dietary intake on cardiovascular risk factors during the 12-week interventiona
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Adverse events

No deaths or serious adverse events were reported throughout the study. One participant in the CR diet group reported asymptomatic hypoglycemia and one in the LC + CR diet group reported gastrointestinal surgery because of small polyps.

Discussion

In this multicenter study, we test the hypothesis that a reduction of carbohydrate intake without restricting caloric intake was more effective on weight loss when compared to a calorie-restricted diet in overweight/obese adults. Our findings align with some previous studies. Samaha et al. [17] studied 132 participants with severe obesity over 6 months and reported that those on a low-carbohydrate diet lost more weight than those on a calorie- and fat-restricted diet. Bazzano et al. [18] and Gardner et al. [15] reported that a low-carbohydrate diet was associated with significantly greater weight loss and reduction in BMI than a low-calorie diet over 12 months of intervention. Furthermore, Shai et al. [16] studied 322 participants with moderate obesity and reported that over a 24-month period, a low-carbohydrate diet resulted in greater weight loss than a low-calorie (low-fat) diets. However, these studies have examined the weight loss effects of a low-carbohydrate diet with a low-calorie and low-fat diet, but most of these trials did not compare the weight loss effects of a calorie-restricted diet alone with that of a low-carbohydrate diet without calorie restriction. Therefore, we innovatively designed the randomized clinical trial to compare an isolated calorie-restricted diet, an isolated low-carbohydrate diet, and the combination of carbohydrate and calorie restriction diet to dissect the effect of calories and carbohydrates on weight loss and other metabolic outcomes.

Our results indicated that a low-carbohydrate diet alone without calorie restriction is sufficient to improve body weight, waist circumference, and body fat when compared with a calorie-restricted diet after a 12-week intervention. Evidence indicates that weight loss via lifestyle modification is largely mediated by energy intake rather than energy expenditure [34]. Although energy deficit is comparable in the three interventional groups, participants in the low carbohydrate group lost more weight in this study. One possibility is that low-carbohydrate diets may have a more favorable effect on energy expenditure than low-fat diets and high-carbohydrate diets [35, 36]. Previous studies indicated that lowering dietary carbohydrates with the same energy intake increased rest energy expenditure during weight loss maintenance, with a linear trend of 52 kcal/day for every 10% decrease in the contribution of carbohydrates to total energy intake [35]. In addition, we observed two acylcarnitine metabolites increased significantly in LC diet than in CR diet after 12 weeks of intervention (Additional file 2: Fig. S2). Acylcarnitines are intermediaries of FA and amino acid catabolism. Adipose tissue lipolysis promotes hepatic acylcarnitine production. The elevating level of acylcarnitine metabolites indicated more fat mobilization and energy expenditure in LC diet. Another explanation is that we observed nearly 50% of participants produced ketones in the LC group and LC + CR group by using daily urine ketone test strips (data not shown). It is likely that the weight loss relates, at least in part, to the known anorexigenic effects of ketone bodies [37]. However, the underlying mechanisms that may account for differences in weight loss by diet still need to be validated in larger sample sizes and future clinical trials. A new perspective on the relationship between diet and weight loss has emerged in recent years whereby the beneficial effects of dietary regimens may not be due to calories alone but rather to a combination of total caloric intake, the ratio of micronutrition, and their interaction. In our study, no interaction between carbohydrate and calorie level for weight loss was observed, and most metabolic factors were not statistically significant (Additional file 2: Table S8); thus, the main effects were evaluated to assess the significance of the individual factors. Our data presented here suggest that the combination of carbohydrate and calorie restriction achieved more weight loss than a low-carbohydrate or calorie-restricted diet alone. Additionally, the restriction of calories without reducing carbohydrate intake had a muted impact on weight loss and metabolic risk factors when compared with LC and LC + CR diets. Taken together, our results indicated that the reduction of total energy intake from carbohydrates to 26% below was necessary for a calorie-restricted diet to improve body weight, which has important implications for clinical practice.

Several clinical trials assessed the effects of low-carbohydrate diet and calorie-restricted diet on waist circumference and body fat among obese patients. Bazzano et al. [18] found that a low-carbohydrate diet had more favorable changes in waist circumference compared with a low-calorie diet, while there were no differences in body fat over 3 months of intervention. In contrast, Dansinger et al. [22] tested the effectiveness of four popular diets on weight loss in a 1-year randomized trial among 160 obese adults and reported no significant differences in waist circumference between low-carbohydrate diet and calorie-restricted diet. Gardner et al. [15] and colleagues also reported that a low-carbohydrate diet achieved a greater reduction in body fat than a calorie-restricted diet over 6 months. Our findings indicated that a low-carbohydrate diet significantly reduced more waist circumference and body fat than a calorie-restricted diet. Furthermore, the low-carbohydrate calorie-restricted diet reduced more waist circumference and body fat than the calorie-restricted diet alone. Our study suggests that the combination of carbohydrate and calorie restriction could be recommended for rapid improvement in fat deposition in overweight/obese individuals.

In this trial, only a low-carbohydrate calorie-restricted diet significantly reduced serum triglycerides during the 12-week intervention while other diets had no effect on lipids. In contrast, Samaha and colleagues [17] reported that a low-carbohydrate diet had a greater decrease in serum triglycerides than a calorie- and fat-restricted (low-fat) diet in 132 severely obese subjects. However, the dietary intervention did not significantly improve the level of HDL-C, LDL-C, total cholesterol, and glucose in our study. It is notable that the low-carbohydrate diets showed elevated total and/or LDL cholesterol, which may be resulted from their intake of saturated fatty acids and animal protein was not strictly controlled.

This study has some limitations. Firstly, the results presented in this analysis provide data only on short-term changes, maintaining weight loss and accompanying improvements is challenging. Whether differences between diets persist in the long term still needs to study. Secondly, the provision of nutritional bar might affect adherence, which might have biased the results. However, adherence to diet intervention did not differ between these groups. Thirdly, physical activity was not strictly controlled in this study because we aimed to examine the isolated effect of low-carbohydrate and calorie-restricted diets on weight loss. Finally, objective biomarkers of energy and macronutrient intake are lacking. Stronger weight loss with LC diet than CR diet despite higher calorie intake with LC is surprising and requires follow-up in controlled biomarker studies. Energy expenditure measured by the double-labeled water method may help to explain the differences among patients in weight loss in response to the diet interventions.

Conclusions

In this study, we dissect the effects of calories and carbohydrates and highlight the important of carbohydrate restriction, and not solely reduced caloric intake is more important to achieve weight loss over a 12-week period. The combination of restricting carbohydrate and total calorie intake may augment the beneficial effects of reducing BMI, body weight, and metabolic risk factors among overweight/obese individuals.

Availability of data and materials

Please contact the corresponding authors to discuss the availability of the datasets used and/or analyzed during the current study.

Abbreviations

ALT:

Alanine aminotransferase

ANOVA:

Analysis of variance

AST:

Aspartate aminotransferase

BMI:

Body mass index

CIs:

Confidence intervals

CR:

Calorie-restricted

HDL:

High-density lipoprotein

HOMA-IR:

Homeostasis Model Assessment-Insulin Resistance Index

LC:

Low‐carbohydrate

LDL:

Lipoprotein cholesterol

SD:

Standard deviation

SEs:

Standard errors

WHR:

Waist-to-hip ratio

References

  1. Hemmingsson E. The unparalleled rise of obesity in China: a call to action. Int J Obes. 2021;45:921–2.

    Article  Google Scholar 

  2. Zeng Q, Li N, Pan XF, Chen L, Pan A. Clinical management and treatment of obesity in China. Lancet Diabetes Endocrinol. 2021;9:393–405.

    Article  PubMed  Google Scholar 

  3. Wang Y, Zhao L, Gao L, Pan A, Xue H. Health policy and public health implications of obesity in China. Lancet Diabetes Endocrinol. 2021;9:446–61.

    Article  PubMed  Google Scholar 

  4. Garvey WT, Mechanick JI, Brett EM, Garber AJ, Hurley DL, Jastreboff AM, et al. American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Endocr Pract. 2016;22:842–84.

    Article  PubMed  Google Scholar 

  5. Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, et al. Behavioral weight loss interventions to prevent obesity-related morbidity and mortality in adults US preventive services task force recommendation statement. JAMA. 2018. https://doi.org/10.1001/jama.2018.13022.

    Article  PubMed  Google Scholar 

  6. Durrer Schutz D, Busetto L, Dicker D, Farpour-Lambert N, Pryke R, Toplak H, et al. European practical and patient-centred guidelines for adult obesity management in primary care. Obes Facts. 2019. https://doi.org/10.1159/000496183.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Purcell K, Sumithran P, Prendergast LA, Bouniu CJ, Delbridge E, Proietto J. The effect of rate of weight loss on long-term weight management: a randomised controlled trial. Lancet Diabetes Endocrinol. 2014. https://doi.org/10.1016/S2213-8587(14)70200-1.

    Article  PubMed  Google Scholar 

  8. Bray GA, Heisel WE, Afshin A, Jensen MD, Dietz WH, Long M, et al. The science of obesity management: an endocrine society scientific statement. Endocr Rev. 2018. https://doi.org/10.1210/er.2017-00253.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 5. Lifestyle management: standards of medical care in diabetes 2019. Diabetes Care. 2019. https://doi.org/10.2337/dc19-S005.

  10. Seo MH, Lee WY, Kim SS, Kang JH, Kang JH, Kim KK, et al. 2018 Korean Society for the Study of Obesity Guideline for the Management of Obesity in Korea. J Obes Metab Syndr. 2019;28:40.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Gong Q, Zhang P, Wang J, Ma J, An Y, Chen Y, et al. Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30-year results of the Da Qing Diabetes Prevention Outcome Study. Lancet Diabetes Endocrinol. 2019. https://doi.org/10.1016/S2213-8587(19)30093-2.

    Article  PubMed  PubMed Central  Google Scholar 

  12. ME L, WS L, AC B, N B, G T, L M, et al. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. Lancet. 2018;391:541–51.

  13. Ge L, Sadeghirad B, Ball GDC, Da Costa BR, Hitchcock CL, Svendrovski A, et al. Comparison of dietary macronutrient patterns of 14 popular named dietary programmes for weight and cardiovascular risk factor reduction in adults: systematic review and network meta-analysis of randomised trials. BMJ. 2020;369:m696.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Hession M, Rolland C, Kulkarni U, Wise A, Broom J. Systematic review of randomized controlled trials of low-carbohydrate vs. low-fat/low-calorie diets in the management of obesity and its comorbidities. Obes Rev. 2009;10:36.

    Article  CAS  PubMed  Google Scholar 

  15. Gardner CD, Kiazand A, Alhassan S, Kim S, Stafford RS, Balise RR, et al. Comparison of the Atkins, Zone, Ornish, and LEARN diets for change in weight and related risk factors among overweight premenopausal women. The A to Z weight loss study: a randomized trial. JAMA. 2007. https://doi.org/10.1001/jama.297.9.969.

  16. Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witkow S, Greenberg I, et al. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med. 2008. https://doi.org/10.1056/NEJMoa0708681.

    Article  PubMed  Google Scholar 

  17. Samaha FF, Iqbal N, Seshadri P, Chicano KL, Daily DA, McGrory J, et al. A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med. 2003. https://doi.org/10.1056/nejmoa022637.

    Article  PubMed  Google Scholar 

  18. Bazzano LA, Hu T, Reynolds K, Yao L, Bunol C, Liu Y, et al. Effects of low-carbohydrate and low-fat diets: a randomized trial. Ann Intern Med. 2014. https://doi.org/10.7326/M14-0180.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Stern L, Seshadri P, Chicano KL, Daily DA, Mcgrory J, Williams M, et al. The effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial. Ann Intern Med. 2004;140:778–85.

    Article  PubMed  Google Scholar 

  20. Foster GD, Wyatt HR, Hill JO, Makris AP, Rosenbaum DL, Brill C, et al. Weight and metabolic outcomes after 2 years on a low-carbohydrate versus low-fat diet a randomized trial. Ann Intern Med. 2010;153:147–57.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Foster GD, Wyatt HR, Hill JO, McGuckin BG, Brill C, Mohammed BS, et al. A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med. 2003. https://doi.org/10.1056/NEJMoa022207.

    Article  PubMed  Google Scholar 

  22. Dansinger ML, Gleason JA, Griffith JL, Selker HP, Schaefer EJ. Comparison of the Atkins, Ornish, weight watchers, and zone diets for weight loss and heart disease risk reduction: a randomized trial. J Am Med Assoc. 2005. https://doi.org/10.1001/jama.293.1.43.

    Article  Google Scholar 

  23. Collaborators G 2015 O. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377:13.

    Article  Google Scholar 

  24. Zhang X, Zhang M, Zhao Z, Huang Z, Deng Q, Li Y, et al. Geographic variation in prevalence of adult obesity in China: results from the 2013–2014 National Chronic Disease and Risk Factor Surveillance. Ann Intern Med. 2020;172:291.

    Article  PubMed  Google Scholar 

  25. Keogh JB, Brinkworth GD, Clifton PM. Effects of weight loss on a low-carbohydrate diet on flow-mediated dilatation, adhesion molecules and adiponectin. Br J Nutr. 2007. https://doi.org/10.1017/S0007114507747815.

    Article  PubMed  Google Scholar 

  26. Morris E, Aveyard P, Dyson P, Noreik M, Bailey C, Fox R, et al. A food-based, low-energy, low-carbohydrate diet for people with type 2 diabetes in primary care: a randomized controlled feasibility trial. Diabetes, Obes Metab. 2020. https://doi.org/10.1111/dom.13915.

  27. Brehm BJ, Seeley RJ, Daniels SR, D’Alessio DA. A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. J Clin Endocrinol Metab. 2003. https://doi.org/10.1210/jc.2002-021480.

    Article  PubMed  Google Scholar 

  28. Gardner CD, Trepanowski JF, Gobbo LCD, Hauser ME, Rigdon J, Ioannidis JPA, et al. Effect of low-fat vs low-carbohydrate diet on 12-month weight loss in overweight adults and the association with genotype pattern or insulin secretion the DIETFITS randomized clinical trial. JAMA - J Am Med Assoc. 2018. https://doi.org/10.1001/jama.2018.0245.

    Article  Google Scholar 

  29. Rm K, Rh E, B H, LJ A, SR D, RJ D, AHA Dietary Guidelines: revision, et al. a statement for healthcare professionals from the Nutrition Committee of the American Heart Association. Stroke. 2000;2000(31):2751–66.

    Google Scholar 

  30. Rodbard HW, Blonde L, Braithwaite SS, Brett EM, Cobin RH, Handelsman Y, et al. American Association of Clinical Endocrinologists medical guidelines for clinical practice for the management of diabetes mellitus. Endocr Pract. 2007;13 Suppl:1–68.

    Google Scholar 

  31. Tay J, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert GA, et al. Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr. 2015;102:780–90.

    Article  CAS  PubMed  Google Scholar 

  32. Brinkworth GD, Noakes M, Buckley JD, Keogh JB, Clifton PM. Long-term effects of a very-low-carbohydrate weight loss diet compared with an isocaloric low-fat diet after 12 mo. Am J Clin Nutr. 2009;90:23–32.

    Article  CAS  PubMed  Google Scholar 

  33. Ershow AG, Wong-Chen K. Chinese food composition tables an annotated translation of the 1981 edition published by the Institute of Nutrition and Food Hygiene, Chinese Academy of Preventive Medicine. Beijing J Food Compos Anal. 1990;3:191–434.

    Article  CAS  Google Scholar 

  34. Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, et al. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009. https://doi.org/10.1056/nejmoa0804748.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ebbeling CB, Feldman HA, Klein GL, Wong JMW, Bielak L, Steltz SK, et al. Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial. BMJ. 2018;363:4583.

    Article  Google Scholar 

  36. Ebbeling CB, Swain JF, Feldman HA, Wong WW, Hachey DL, Garcia-Lago E, et al. Effects of dietary composition on energy expenditure during weight-loss maintenance. JAMA. 2012;307:2627.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Johnstone AM, Horgan GW, Murison SD, Bremner DM, Lobley GE. Effects of a high-protein ketogenic diet on hunger, appetite, and weight loss in obese men feeding ad libitum. Am J Clin Nutr. 2008;87:44–55.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank the study participants for their cooperation. The authors thank Guangzhou Nanda Fit Nutrition and Health Consulting Co., Ltd., for the donations in support of the nutrition bar.

Funding

This study was partly supported by the National Natural Science Foundation of China (Grant NO: 82170859, 82100860, 81974117, 82074207), the Natural Science Foundation of Guangdong Province (Grant No.: 2021A1515010785, 2019A1515110658, 2019A1515010665), and Guangzhou Science and Technology Project (Grant No.: 20180301006).

Author information

Author notes

  1. Jia Sun, Yuting Ruan, Ningning Xu, and Peili Wu contributed equally to this work.

Authors and Affiliations

  1. Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue, Haizhu Square, Guangzhou, Guangdong, China

    Jia Sun, Yuting Ruan, Ningning Xu, Peili Wu, Nie Lin, Kun Yuan, Zhen Zhang, Weiheng Wen & Hong Chen

  2. Department of Bio-Statistics, Southern Medical University, No.1023 Sha Tai Nan Lu, Baiyun Square, Guangzhou, Guangdong, China

    Shengli An & Pei Kang

  3. Department of Endocrinology, Huizhou Municipal Center Hospital, No. 41, Eling North Road, Huizhou, Guangdong, China

    Shu Li

  4. Department of Endocrinology, Qing Yuan People’s Hospital, Qingyuan, Guangdong, China

    Qiya Huang

  5. Department of Endocrinology, The Third Affiliated Hospital of Guangzhou Medical University, No. 63, DuoBao Road, Liwan Square, Guangzhou, Guangdong, China

    Yingzhang

  6. Department of Endocrinology, Dongguan Kanghua Hospital, 1000 Dongguan Avenue, Dongguan, Guangdong, China

    Yuzhong Li

  7. Department of Endocrinology, He Xian Memorial Hospital, No. 2, Qinghe East Road, Panyu District, Guangzhou, Guangdong, China

    Jialin Su

  8. Department of Nutrition, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106, Zhongshan Second Road, Yuexiu District, Guangzhou, Guangdong, China

    Wenjun Ma

  9. Department of Endocrinology, Guangdong Second Provincial General Hospital, No.466, Xing Gang Middle Road, Haizhu District, Guangzhou, Guangdong, China

    Bo Chen

  10. Department of Endocrinology, Dongguan People’s Hospital, Wandao Road (South), Xinguchong, Wanjiang District, Dongguan, Guangdong, China

    Xiuwei Zhang

  11. Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, No. 57, Renmin Avenue South, Xiashan District, Zhanjiang, Guangdong, China

    Xiaoming Chen

  12. Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University, No. 1, Lunjiao Jiazi Road, Shunde District, Foshan, Guangdong, China

    Yongqian Liang

  13. Department of Endocrinology, The Eighth Affiliated Hospital of Sun Yat-Sen University, No. 3025, Shennan Road, Shenzhen, Guangdong, China

    Zeyuan Lu

  14. Department of Endocrinology, Shaoguan First People’s Hospital, No. 3, Dongdi South Road, Zhenjiang District, Shaoguan, Guangdong, China

    Guobao Deng

  15. Pansonglou Health Management Center, Guangzhou First People’s Hospital, Guangzhou, China

    Yuqin Wang & Huijie Zhang

  16. Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Dadao Bei, Baiyun Square, Guangzhou, Guangdong, China

    Yuqin Wang & Huijie Zhang

Authors
  1. Jia Sun
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  2. Yuting Ruan
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  3. Ningning Xu
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Contributions

The authors read and approved the final manuscript. JS, YTR, NNX, and PLW contributed equally to this work. JS, NNX, YTR, and PLW had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: HC, JS, NNX, YTR, PLW, NL, KY, SLA, PK, and HJZ. Acquisition, analysis, or interpretation of the data: HC, YTR, NNX, PLW, SLA, PK, HJZ, and JS. Drafting of the manuscript: JS, NNX, YTR, PLW, HJZ, and HC. Critical revision of the manuscript for important intellectual content: HC, YTR, NNX, HJZ, and JS. Statistical analysis: HC, NNX, YTR, PLW, SLA, PK, HJZ, and JS. Administrative, technical, or material support: SL, QYH, YZ, YZL, JLS, WJM, BC, XWZ, XMC, YQL, ZYL, GBD, ZZ, YQW, WHW, JS, HJZ, and HC. Study supervision: JS, HJZ, and HC.

Corresponding authors

Correspondence to Jia Sun, Huijie Zhang or Hong Chen.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the institutional review board of Zhujiang Hospital of Southern Medical University and registered at the China Clinical Trial Registration Center (registration number: ChiCTR1800015156). All participants provided written informed consent before enrollment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

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Supplementary Information

Additional file 1. The trial protocol.

12916_2023_2869_MOESM2_ESM.pdf

Additional file 2: Fig. S1. Adherence to the prescribed diets over 12 weeks. Fig. S2. Metabolites changes of LC diet and CR diet at baseline and 12 weeks. Table S1. Food profile of diet interventions. Table S2. Baseline characteristics of study participants included in completer analysis. Table S3. Daily physical activityat baseline and during follow-up. Table S4. Energy and nutrition intake during follow-up of completer participants. Table S5. Adherence during the 12-week intervention. Table S6. Effects of dietary intake on weight loss and body fat after  -week intervention of completer participants. Table S7. Effects of dietary intake on cardiovascular risk factors during 12-week intervention of completer participants. Table S8. Tests of between subject-effect.

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Sun, J., Ruan, Y., Xu, N. et al. The effect of dietary carbohydrate and calorie restriction on weight and metabolic health in overweight/obese individuals: a multi-center randomized controlled trial. BMC Med 21, 192 (2023). https://doi.org/10.1186/s12916-023-02869-9

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Keywords

BMC Medicine

ISSN: 1741-7015

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