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The effect of macronutrients on glycaemic control: a systematic review of dietary randomised controlled trials in overweight and obese adults with type 2 diabetes in which there was no difference in weight loss between treatment groups

Published online by Cambridge University Press:  28 September 2015

Amir Emadian*
Affiliation:
School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Rob C. Andrews
Affiliation:
School of Clinical Sciences, University of Bristol, Bristol BS10 5NB, UK
Clare Y. England
Affiliation:
Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol BS8 1TZ, UK
Victoria Wallace
Affiliation:
School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Janice L. Thompson
Affiliation:
School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
*
*Corresponding author: A. Emadian, email ahe299@bham.ac.uk
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Abstract

Weight loss is crucial for treating type 2 diabetes mellitus (T2DM). It remains unclear which dietary intervention is best for optimising glycaemic control, or whether weight loss itself is the main reason behind observed improvements. The objective of this study was to assess the effects of various dietary interventions on glycaemic control in overweight and obese adults with T2DM when controlling for weight loss between dietary interventions. A systematic review of randomised controlled trials (RCT) was conducted. Electronic searches of Medline, Embase, Cinahl and Web of Science databases were conducted. Inclusion criteria included RCT with minimum 6 months duration, with participants having BMI≥25·0 kg/m2, a diagnosis of T2DM using HbA1c, and no statistically significant difference in mean weight loss at the end point of intervention between dietary arms. Results showed that eleven studies met the inclusion criteria. Only four RCT indicated the benefit of a particular dietary intervention over another in improving HbA1c levels, including the Mediterranean, vegan and low glycaemic index (GI) diets. However the findings from one of the four studies showing a significant benefit are questionable because of failure to control for diabetes medications and poor adherence to the prescribed diets. In conclusion there is currently insufficient evidence to suggest that any particular diet is superior in treating overweight and obese patients with T2DM. Although the Mediterranean, vegan and low-GI diets appear to be promising, further research that controls for weight loss and the effects of diabetes medications in larger samples is needed.

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Full Papers
Creative Commons
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The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution license .
Copyright
Copyright © The Authors 2015

Dietary intake is recognised as a major contributor to both the development and management of type 2 diabetes( Reference Martínez-González, De la Fuente-Arrillaga and Nuñez-Cordoba 1 ). The current American Diabetes Association (ADA) recommendations for overweight and obese patients with type 2 diabetes mellitus (T2DM) include reducing energy intake while maintaining healthful eating patterns in order to promote weight loss( Reference Evert, Boucherckie and Cypress 2 ). Different diets have been studied to determine their impact on the management of T2DM. With regard to prevention, a recent meta-analysis of prospective cohort studies comprising 21 372 cases demonstrated that healthy diets (e.g. Mediterranean diet, dietary approaches to stop hypertension) were equally associated with a 20 % decreased risk of developing T2DM( Reference Esposito, Chiodini and Maiorino 3 ). However, there remains no conclusive evidence as to which diet, if any, is the most effective in optimising glycaemic control in patients with T2DM( 4 ).

Two systematic reviews have examined the effects of different dietary interventions in managing T2DM. Ajala et al. ( Reference Ajala, English and Pinkney 5 ) investigated the effects of low-carbohydrate, vegetarian, vegan, low glycaemic index (GI), high-fibre, Mediterranean and high-protein diets as compared with control diets (low fat, high GI, low protein, and diets described as following guidelines of the ADA or European Association for the Study of Diabetes). They concluded that the Mediterranean, low-carbohydrate, low-GI and low-protein diets resulted in greater improvements in HbA1c when compared with their respective controls, with the Mediterranean diet having the greatest effect. Meta-analyses also indicated that both the Mediterranean and low-carbohydrate diets produced the greatest weight loss (−1·84 and −0·69 kg, respectively).

Wheeler et al.( Reference Wheeler, Dunbar and Jaacks 6 ) conducted a systematic review that took a different approach. They examined the impact of macronutrients, food groups and eating patterns on diabetes management and risk for CVD. This was a follow-up to the literature review published by the ADA in 2001, and thus the authors only included studies published from 2001 to 2010. The authors concluded that many diets improved glycaemic control and cardiovascular risk factors; however, no one diet was identified as superior.

Both of these systematic reviews included studies in which the diets being examined resulted in greater weight loss than the respective ‘control diet’, making it difficult to determine whether the improvement in glycaemic control was due to weight loss or due to the composition of the diet. There is a need for a new systematic review to address this limitation. Thus, the aim of this systematic review was to analyse the results from only randomised controlled trials (RCT) where different dietary interventions were compared, and in which the total mean weight loss between groups was not statistically significantly different. If this analysis indicates significant improvements in glycaemic control, this would suggest that a particular diet may be more optimal for diabetes management.

Methods

Criteria for study consideration: types of studies and subjects

Only RCT with a minimum duration of 6 months and a measure of HbA1c were considered for this review, in order to examine long-term changes in HbA1c. The review set out to investigate the effects of dietary interventions in overweight and obese adults with T2DM; therefore, only studies in which subjects had a BMI of 25·0 kg/m2 or higher, along with a confirmed diagnosis of diabetes in line with the WHO diagnostic criteria( 7 ), were considered for inclusion. Studies needed to have at least two arms examining differences between dietary interventions. As the main aim of this study was to examine the impact of various diets on T2DM management independent of differential effects of weight loss, only trials in which there were no statistically significant differences in the mean weight lost between the arms were considered for inclusion. Studies including pharmacological or physical activity interventions were excluded. Only interventions using a whole-diet approach were of interest, and hence trials involving individual foods, functional foods or individual supplements were excluded.

Outcome measures

The main outcome of interest for this review was the mean difference in HbA1c between dietary arms at the end point of intervention.

Search strategy

Electronic searches were conducted in Medline, Embase, Cinahl and Web of Science databases including all studies published as of 29 June 2015. References of included studies along with published reviews were hand searched for additional studies. Individual search strategies were developed according to the specifications of the different databases. A combination of exploded medical subject headings (MeSH) and free text searching was used as part of the search strategies. MeSH headings that were used included ‘Type 2 diabetes’, ‘NIDDM’, ‘Haemoglobin A, Glycosylated’, ‘Diet’, ‘Dietary proteins’, ‘Dietary fats’, ‘Dietary carbohydrates’, ‘Glycaemic index’, Glycaemic load’ and their variants. The search was limited to studies written in the English language (see online Supplementary Appendix S1).

V. W. who was our research librarian was instrumental in working with the lead author (A. E.) to develop and finalise the search strategy for the four databases. A. E. screened all titles and abstracts and initially assessed studies for inclusion. Where it was unclear whether a study met the inclusion criteria, a second author (J. L. T.) screened the reports.

Study quality assessment and data extraction

The lead author (A. E.) rated the quality of the RCT identified by the searches using the Joanna Briggs Institute( 8 ) critical appraisal tool to ensure trials were of a sufficient quality (see online Supplementary Appendix S2). A second independent reviewer rated the quality of a sub-sample of twenty relevant articles. Data extraction was then conducted by A. E. and an independent reviewer on the final eleven articles that met all inclusion criteria, using a custom-designed data extraction sheet.

As the published studies lacked a common control diet for comparison, it was not possible to conduct a meta-analysis of the results from the included studies. Thus, the results of a qualitative synthesis are reported here.

Results

Study selection

Through initial electronic database searching and hand searching, 705 studies were identified (Fig. 1). After removal of duplicates, this was reduced to 525 studies. The initial stage of assessing studies focused on excluding studies based on information present in the titles and abstracts, which resulted in the elimination of 540 studies. A total of twenty remaining studies were then accessed in full text form to further assess eligibility. Of these twenty studies, nine were excluded as they failed to meet one or more of the inclusion criteria (Fig. 1). The remaining eleven studies met all inclusion criteria and after critical appraisal were deemed to meet the quality requirements to be included in the qualitative synthesis.

Fig. 1 Flow diagram showing the number of studies screened, assessed for eligibility, and included in the review.

Study and subject characteristics

The eleven studies included in this review are summarised in Table 1. The duration of the interventions ranged from 40 weeks( Reference Fabricatore, Wadden and Ebbeling 9 ) to 4 years( Reference Esposito, Maiorino and Ciotola 10 ). The trials varied in size, with the smallest study including forty( Reference Ma, Olendzki and Merriam 11 ) participants and the largest study including 259( Reference Elhayany, Lustman and Abel 12 ) participants. The pooled sample size for all studies was n 1266.

Table 1 Table summarising the results of changes in HbA1c from the eleven dietary interventions included in the systematic review (Mean values and standard deviations for mean weight loss and mean reduction HbA1c)

LFD, low-fat diet; LCD, low carbohydrate diet; CHO, carbohydrate; HC, high carbohydrate; low GL, low glycaemic load; LCMD, low carbohydrate Mediterranean diet; TM, traditional Mediterranean; ADA, American Diabetes Association; LCM, low carbohydrate Mediterranean; GI, glycaemic index; TMD, traditional Mediterranean diet; HPD, high-protein diet; SPD, standard protein diet; HP, high protein.

Interventions: general overview

A wide range of dietary interventions were examined, including low-fat vegan, ADA, low GI, high-protein diet, standard protein diet, low-fat diet, low carbohydrate, low glycaemic load (GL), low carbohydrate Mediterranean (LCM), traditional Mediterranean (TM), high carbohydrate/fibre and a modified lipid diet. Of the eleven studies included, two compared three different dietary interventions, whereas the other nine studies compared two dietary interventions. In total there were twenty-four individual comparators.

Interventions showing a positive effect

From the eleven studies, nine demonstrated a positive effect of dietary intervention on improving HbA1c values at the end point of intervention( Reference Fabricatore, Wadden and Ebbeling 9 Reference Iqbal, Vetter and Moore 17 ). However, five of these studies did not report statistically significant differences between dietary arms in the reductions in HbA1c values( Reference Ma, Olendzki and Merriam 11 , Reference Pedersen, Jesudason and Clifton 14 Reference Iqbal, Vetter and Moore 17 ), and hence do not appear to support the use of one dietary intervention over another, as comparators had similar positive effects on glycaemic control.

Interventions showing no effect

Out of the eleven studies, two reported that the prescribed dietary interventions failed to decrease HbA1c levels( Reference Guldbrand, Dizdar and Bunjaku 18 , Reference Brehm, Lattin and Summer 19 ). Guldbrand et al. ( Reference Guldbrand, Dizdar and Bunjaku 18 ) compared a low-carbohydrate diet with a low-fat diet, and despite both groups experiencing significant weight loss there were no significant improvements in HbA1c at the end point of either dietary intervention. However, the authors stated that at 6 months into the intervention there was a statistically significant difference in mean insulin dose in favour of the low-carbohydrate diet (P=0·046). Brehm et al. ( Reference Brehm, Lattin and Summer 19 ) compared a predominantly MUFA diet with a high-carbohydrate diet, and again despite reductions in body weight over 12 months of 4·0 (sd 0·8) v. 3·8 (sd 0·6) kg, respectively, the interventions failed to be effective in improving glycaemic control, with non-significant mean changes in HbA1c levels for both groups. It is important to note that authors reported a lack of information about changes that were made to the type and dosage of glucose-lowering medication. Therefore, it appears that no adjustments were made to account for the effects of medication on glycaemic control. This lack of ability to take into consideration the effect of medication on glycaemic control is a potential limitation.

Interventions showing significant differences between dietary groups

Only four studies reported a significant difference in HbA1c between different dietary interventions despite a non-significant difference in weight loss (Table 1)( Reference Fabricatore, Wadden and Ebbeling 9 , Reference Esposito, Maiorino and Ciotola 10 , Reference Elhayany, Lustman and Abel 12 , Reference Barnard, Cohen and Jenkins 13 ).

Fabricatore et al. ( Reference Fabricatore, Wadden and Ebbeling 9 ) compared a low-fat diet with a low-GL diet, with the subjects in the low-GL group experiencing a significantly greater reduction in HbA1c compared with those in the low-fat diet group: 0·8 (sd 0·0104) v. 0·1 (sd 0·0012) %, respectively (P=0·01). Authors reported that the values presented were adjusted to account for changes in glucose-lowering medication, and that the percentage of participants who increased, decreased or did not change their medication protocol was not statistically different between groups at week 20 (P=0·51) or at week 40 (P=0·70). Therefore, this study appears to demonstrate a benefit of a low-GL diet over a low-fat diet in improving HbA1C levels.

Elhayany et al. ( Reference Elhayany, Lustman and Abel 12 ) conducted a three-arm intervention comparing a LCM diet, a TM diet and the 2003 ADA diet. All three interventions were successful in reducing weight and improving HbA1c levels. Subjects in the LCM diet experienced the greatest reduction in HbA1c: 2·0 % compared with 1·8 % in the TM group and 1·6 % in the ADA group (P=0·021). However, it is important to view these results with caution, as authors do not report baseline medication characteristics of the participants or any changes in glucose-lowering medication throughout the course of the intervention. Therefore, values have not been adjusted for medication, and the lack of information available regarding type and dosage of glucose-lowering medication makes it impossible to confirm that it was the LCM diet itself that was more effective in reducing HbA1c, or whether the changes observed may have been a result of differences in medication use and dosage between the three intervention groups.

Barnard et al. ( Reference Barnard, Cohen and Jenkins 13 ) compared a low-fat vegan diet with an ADA diet, with results showing a greater mean reduction in HbA1c for patients on the low-fat vegan diet. Authors reported a mean decrease of 0·4 % for the low-fat vegan group and 0·1 % decrease for the ADA group once adjustments were made for changes in medication.

Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) compared an LCM diet with a low-fat diet. The LCM diet led to a significantly greater reduction in Hba1c, with a mean decrease of 0·9 % compared with the 0·5 % achieved in the low-fat diet group. This study appears to show a benefit of using an LCM diet over a low-fat diet in reducing Hba1C levels beyond the effects of weight loss. Two of the strengths of this study are that all participants were newly diagnosed with T2DM and were not taking any form of glucose-lowering medication. The primary outcome of the study was commencement of medication, which itself followed a strict protocol. As shown in Table 1, the LCM diet resulted in a significantly lower HbA1c value with less need for glucose-lowering medication when compared with the low-fat diet (LFD). However, because of the nature of the study design, physicians were not blinded to the intervention groups in order to administer medication, which is a limitation.

Limitations in adherence to prescribed diets

One issue common to most studies was the lack of compliance to the prescribed dietary intervention. As shown in Table 2, apart from Pedersen et al. ( Reference Pedersen, Jesudason and Clifton 14 ) who used the 24-h urea excretion method for assessing adherence to prescribed protein intakes, the remaining ten studies relied on self-report dietary intake data. Differences in prescribed v. reported diets are apparent when comparisons are made with the macronutrient targets set at baseline to those that were reported at the end point of intervention (Table 2). Pedersen et al. ( Reference Pedersen, Jesudason and Clifton 14 ) reported that adjusted urea excretion was significantly different between groups (519 (sd 39) for the high-protein diet and 456 (sd 25) for the standard protein diet group; P=0·04), indicating compliance to the protein prescription. In contrast, Iqbal et al. ( Reference Iqbal, Vetter and Moore 17 ) reported no significant difference in macronutrient intake between groups at any point during the intervention. In this study the subjects in the low-carbohydrate group were prescribed a diet with <30 g of carbohydrates/d; however, data from 3-d food diaries revealed a mean carbohydrate intake of 192·8 g/d. Similarly, Barnard et al. ( Reference Barnard, Cohen and Jenkins 13 ) reported that, at the end point of intervention, dietary adherence was met by only 51 % of those in the low-fat vegan group and by 48 % of those in the ADA group.

Table 2 Table summarising the changes in dietary intake at baseline and at end point of intervention

LFD, low-fat diet; LCD, low carbohydrate diet; CHO, carbohydrate; low GL, low glycaemic load; GI, glycaemic index; LCM, low carbohydrate Mediterranean; TM, traditional Mediterranean; ADA, American Diabetes Association; LCMD, low carbohydrate Mediterranean diet; HPD, high-protein diet; SPD, standard protein diet.

* Values are from reported dietary intakes at the end point of intervention.

Discussion

The results of this systematic review indicate that only four out of the eleven trials demonstrated a benefit of one particular dietary intervention over another. These diets were low GL, LCM and low-fat vegan. Therefore, it appears that these diets may have a beneficial effect on HbA1c independent of weight loss. However, there are two major limitations within most of these studies that could have substantially affected the reported results: lack of reporting and controlling for medication use and change, and poor compliance to the dietary intervention being studied.

Elhayany et al. ( Reference Elhayany, Lustman and Abel 12 ) demonstrated that the low carbohydrate Mediterranean diet (LCMD) was more effective than the TMD and the ADA diet in reducing HbA1c. However, this study lacked any control over the effects of glucose-lowering medication, with no information available about baseline medication or any changes to medication occurring during the trial. Therefore, we cannot be certain whether the effects on the outcome measures were due to the dietary intervention or due to effects of glucose-lowering medication.

The three interventions that show promise appear to be those of Fabricatore et al. ( Reference Fabricatore, Wadden and Ebbeling 9 ), who demonstrated the benefit of a low-GL diet over a low-fat diet, Barnard et al. ( Reference Barnard, Cohen and Jenkins 13 ) who demonstrated a potential benefit of a low-fat vegan diet compared with the ADA diet, and Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) who showed a benefit of using an LCM diet over a low-fat diet. In contrast to the study by Elhayany et al. ( Reference Elhayany, Lustman and Abel 12 ) these three studies reported how changes in glucose-lowering medication were managed and accounted for throughout the interventions. Furthermore, both Barnard et al. ( Reference Barnard, Cohen and Jenkins 13 ) and Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) reported that HbA1c values were significantly reduced, with less need for glucose-lowering medication in the low-fat vegan and LCM dietary groups. Fabricatore et al.( Reference Fabricatore, Wadden and Ebbeling 9 ) demonstrated a benefit of using a low-GL diet compared with a low-fat diet; however, a limitation of this intervention was the high attrition rate of 36·7 %.

Although the mechanisms leading to enhanced glycaemic control in these studies were not examined, existing research may help explain their findings. One potential mechanism for the effectiveness of a low-fat vegan diet is its high dietary fibre content. By the end of the 74-week intervention, subjects in the low-fat vegan group were consuming a significantly greater amount of dietary fibre than were those in the ADA group (21·7 (sd 1·2) v. 13·4 (sd 0·8) g/4184 kJ (1000 kcal)). Both Post et al. ( Reference Post, Mainous and King 20 ) and Silva et al. ( Reference Silva, Kramer and Almeida 21 ) conducted meta-analyses demonstrating the benefits of increasing fibre intakes and improved glycaemic control in patients with T2DM. Although these meta-analyses did not control for energy consumption, they do highlight the importance of dietary fibre in diabetes management. This is of importance when considering the effects of dietary approaches such as low-fat vegan or Mediterranean diets, as dietary fibre intakes tend to increase when consuming these diets, and as such any observed benefits on glycaemic control may potentially be due to increased fibre consumption.

A component of the Mediterranean diet that has been highlighted as a possible mechanism for its benefit in optimising glycaemic control is the increased intake of MUFA. Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) reported a significant increase in the percentage of energy from MUFA in participants consuming the LCMD compared with the LFD. Paniagua et al. ( Reference Paniagua, de la Sacristana and Sánchez 22 ) conducted a prospective crossover study on eleven insulin-resistant subjects, each spending 28 d consuming a diet high in SFA, a diet high in MUFA and a diet high in carbohydrates. The MUFA-rich diet improved insulin sensitivity, and lowered insulin resistance (homoeostasis model assessment-insulin resistance) to a greater extent compared with the high-SFA and the high-carbohydrate diets (2·32 (sd 0·3), 2·74 (sd 0·4), 2·52 (sd 0·4), respectively, P<0·01). The high-MUFA diet also increased glucagon-like peptide-1 (GLP-1) more than did the carbohydrate-rich diet. The diets were designed to ensure weight maintenance, with no changes in patients’ body weights reported. Therefore, this study demonstrated a potential effect of MUFA in improving insulin sensitivity, possibly through increased GLP-1 levels, independent of weight change.

The current systematic review does not fully support the findings of the previous systematic review conducted by Ajala et al. ( Reference Ajala, English and Pinkney 5 ), as our findings do not support any benefit of consuming low-carbohydrate or high-protein diets over another dietary intervention. Similar to the results of Ajala et al.( Reference Ajala, English and Pinkney 5 ), our findings suggest a potential benefit of a Mediterranean-style diet. Three trials were included in their analysis, two of which were included in the current systematic review (Elhayany et al. ( Reference Elhayany, Lustman and Abel 12 ), Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 )), with the third (Toobert et al ( Reference Toobert, Glasgow and Strycker 23 )) not meeting the inclusion criteria of the current systematic review as weight loss between groups was statistically significantly different. In addition, it is important to note that in the study by Toobert et al. ( Reference Toobert, Glasgow and Strycker 23 ) participants randomised to the Mediterranean Lifestyle Program were not only given dietary advice to follow a Mediterranean diet but were also given stress management classes, with exercise prescriptions involving both aerobic and strength-training activity. Therefore, the beneficial effects on HbA1c could have been due to many components of the intervention and not just dietary change. Therefore, considering this study, along with those of Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) and Elhayany et al. ( Reference Elhayany, Lustman and Abel 12 ) (who did not take into account changes in medication), makes it difficult to assess the potential use of the meta-analysis conducted by Ajala et al.( Reference Ajala, English and Pinkney 5 ) in determining whether the Mediterranean diet is in fact superior to other dietary interventions.

Another limitation observed in the trials included in the current review was the variations in dietary compliance (see Table 2). The diet that was initially prescribed was not always consistent with what was consumed by the participants. Most studies did, however, manage to create sufficient differences in the consumption of certain macronutrients to allow researchers to distinguish significant differences between the dietary arms. Other researchers, such as Iqbal et al.( Reference Iqbal, Vetter and Moore 17 ), reported that there were no significant differences between macronutrient intakes at any point during the trial, and thus it is not surprising that there was no difference in HbA1c levels between the groups.

Even though weight loss was not significantly different between the treatment arms in the included studies, there was a moderate positive correlation between weight loss and HbA1c (data not shown), indicating that higher weight loss was associated with greater improvements in HbA1c. This finding is not surprising, as weight loss is recognised as an integral component of treating patients with T2DM( Reference Franz, Horton and Bantle 24 ).

The main strength of this systematic review is that, to our knowledge, it is the first to attempt to control for the effects of weight loss between dietary treatment arms. An additional strength of this review was the use of a recognised tool for assessing the quality of the trials included. A limitation of our review was that, because of the lack of a consistent control diet in the studies examined, we were not able to conduct a meta-analysis or provide quantitative data on the effect of the prescribed diets on changes in HbA1c. It is also not clear whether the participants included in the trials are generally representative of adults with T2DM.

In order to determine whether one particular diet is superior in optimising glycaemic control, a number of research design issues need to be applied in future research studies. First, because of the nature of the effect of weight loss on glycaemic control, it is important to control for this in intervention studies. A well-designed study would include a comparison of dietary interventions that are isoenergetic, and would measure and attempt to balance the energy expenditure of participants. If dietary arms are not isoenergetic, it becomes difficult to distinguish the effects of different macronutrient compositions from the effects of a total energy reduction. Another issue is the need to report medication use and dosage, and ideally control for changes in medication. From the eleven studies included in the current systematic review, only six reported some account of effects of medication. Of these, only Barnard et al. ( Reference Barnard, Cohen and Jenkins 13 ) and Esposito et al. ( Reference Esposito, Maiorino and Ciotola 10 ) listed the protocols used for how changes in medication were handled. The effects of glucose-lowering medication are clearly of major importance, and if the type and amounts that patients are taking are not controlled for, then the effects of dietary interventions on outcome measures can only be speculative. If more trials address these limitations, it should become clearer whether there is in fact a particular diet that is superior for treating overweight and obese patients with T2DM.

We conclude that there is currently insufficient evidence to state that a particular diet is superior to another for treating overweight and obese adults with T2DM. In line with current ADA guidelines, reducing total energy intake to promote weight loss should be the main strategy. As yet there still is not enough evidence to promote an ideal percentage of energy from carbohydrates, protein and fat. Although the Mediterranean, vegan and low-GI diets appear to be promising, further research that controls for weight loss and the effects of diabetes medications in larger samples is needed.

Acknowledgements

This research was conducted as part of Amir Emadian’s self-funded PhD, and with some support from the School of Sport, Exercise & Rehabilitation Sciences at the University of Birmingham. The present systematic review did not receive any financial support.

We would like to acknowledge Farhan Noordali for his contribution to quality appraisal and data extraction.

A. E., J. L. T., C. Y. E. and R. C. A. designed the research. A. E. and J. L. T. analysed the data. V. W. assisted with identification of search terms, literature review and data collection. A. E., C. Y. E. and J. L. T. developed the initial draft of the paper. All authors reviewed multiple drafts of the paper and approved the final manuscript for submission. A. E. conducted the research and was primarily responsible for developing the first draft of the paper.

There are no conflicts of interest.

Supplementary material

For supplementary material/s referred to in this article, please visit http://dx.doi.org/doi:10.1017/S0007114515003475

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Figure 0

Fig. 1 Flow diagram showing the number of studies screened, assessed for eligibility, and included in the review.

Figure 1

Table 1 Table summarising the results of changes in HbA1c from the eleven dietary interventions included in the systematic review (Mean values and standard deviations for mean weight loss and mean reduction HbA1c)

Figure 2

Table 2 Table summarising the changes in dietary intake at baseline and at end point of intervention

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Supplementary material: File

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