Low-carbohydrate diets (LCD) have been heavily promoted for weight management, and as a possible strategy for type 2 diabetes (T2D) management and prevention(Reference Feinman, Pogozelski and Astrup1–Reference Finney Rutten, Lazarus Yaroch and Colon-Ramos3). Current and emerging evidence from randomised trials remains inconclusive regarding the effectiveness of LCD for health benefits (via weight control or metabolic control)(Reference Churuangsuk, Kherouf and Combet4). As with any restrictive diet, the long-term sustainability of LCD has been questioned, with additional concerns over safety, by comparison with current usual western diets or with alternative dietary recommendations(Reference Mazidi, Katsiki and Mikhailidis5–Reference Brouns7). This review explores the current evidence and debates which supports or challenges the use of LCD for T2D management and prevention.
Type 2 diabetes: a disease process of obesity
T2D is primarily a nutritional disease, which used to be rare in pre-industrial societies, but is now emerging as one of the most common and damaging chronic diseases. Its global prevalence has approximately doubled from 1980 to 2014, in line with rising overweight and obesity(Reference World Health Organization8). It causes 1⋅6 million premature deaths annually, and shortened lives often end with years of pain and multiple disabilities(9).
The extraordinary association between T2D and elevated BMI (not simply BMI >30 kg/m2) was shown graphically in the prospective Nurses Health Study. Compared to BMI <22 kg/m2, women with BMI 23–23⋅9 kg/m2 had a 3⋅6-time higher relative risk of incident T2D, rising to about 60 times higher risk in women with BMI ≥35 kg/m2, levels strongly indicative of a causal relationship(Reference Colditz, Willett and Stampfer10,Reference Rana, Li and Manson11) . Excessive body fat accumulation is a critical, but reversible factor underlying T2D and metabolic syndrome development. In people who are predisposed (for genetic and other reasons), fat accumulates in ectopic sites including liver and pancreas, which damages organ functions(Reference Taylor, Al-Mrabeh and Zhyzhneuskaya12), (Fig. 1). Reversing that process by weight loss of at least 3–7 % is a key mechanism to prevent or delay onset of T2D(Reference Dunkley, Bodicoat and Greaves13–Reference Tuomilehto, Lindstrom and Eriksson16), and remission of established T2D can be achieved by greater loss, >15 % for greatest success, with an intensive weight management programme(Reference Lean, Leslie and Barnes17).
Fig. 1. (Colour online) Schematic diagram of weight gain and type 2 diabetes (T2D) development.
Lifestyle modification, through dietary change and increasing physical activity, to halt or delay the disease-process which is driven by weight gain and excess body fat in susceptible individuals, is fundamental for T2D prevention and management(Reference Dunkley, Bodicoat and Greaves13). Advice and support for affected individuals can be very effective(Reference Lean, Leslie and Barnes17,Reference Lean, Leslie and Barnes18) but is strongly undermined by effective social marketing driving greater energy intake, while physical activity continues to fall in the post-industrial environment(Reference Brownson, Boehmer and Luke19). Self-reported food consumption by individuals with overweight and obesity can also be misleading, with notable underreported food energy intake (about 418⋅4 kJ/d) in adults with BMI >30 kg/m2(Reference Braam, Ocke and Bueno-de-Mesquita20,Reference Lara, Scott and Lean21) . Meanwhile, food disappearance data show consistent positive relationships between rising obesity, increasing energy intake and consumptions of all food groups and all macronutrients(Reference Hall22–Reference Vandevijvere, Chow and Hall25).
Role of carbohydrate in the diet
A primary role of carbohydrates is to serve as a main and preferable source of body energy, contributing toward approximately half the daily energy intake at population level(Reference Bates, Lennox and Prentice26,27) . Carbohydrate-rich foods, consumed regularly everyday as part of our main diets, are considered staple foods, including potatoes, rice and whole grains, breads and pasta. Carbohydrates are also found in fruit, milk, beans and some starchy vegetables(Reference Lean and Combet28). After consumption, foods containing carbohydrates are digested by the enzymes in the small intestine and absorbed in the form of glucose molecules. Glucose absorbed into the blood stream is transported into cells with the help of insulin, then directly converted to energy or stored as glycogen(Reference Lean and Combet28). Not all carbohydrates are digested in the small intestine, with undigested constituents passing to the large intestine (colon); these are classified as dietary fibre(Reference Lean and Combet28). Dietary fibre can be fermented by the resident bacteria in the large intestine, forming SCFA and also carry out a functional role through water absorption and bulking of stools(Reference Lean and Combet28). Carbohydrate-rich foods are also a good source of vitamins and minerals, as they come from plant sources. In the UK, cereals and cereal products, vegetables and potatoes and fruits are the major food groups contributing to vitamins and minerals intakes, either naturally presented or fortified (Table 1)(Reference Bates, Lennox and Prentice26).
Table 1. Percentage contribution of carbohydrate foods groups to average daily vitamins and minerals intakes in UK adults aged 19-64 years (National Diet and Nutrition Survey (NDNS) 2008-2014)
CHO, carbohydrate; Vit, vitamin; Ca, calcium; Mg, magnesium; I, iodine; Se, selenium; Zn, zinc.
* From non-milk extrinsic sugars.
Darker shades highlight a higher contribution of the food group to the UK adult intake for each specific nutrient, based on the UK NDNS data.
Not all carbohydrates are the same, and types and quality matter. Eating carbohydrate-rich foods such as wholegrain, whole-wheat pasta, brown rice, potatoes with skin, fruit and vegetables is associated with chronic disease risk reduction, which is partly explained by dietary fibre, found in plant cell walls(Reference Reynolds, Mann and Cummings29). Fibre can help with body weight maintenance through the regulation of energy balance and satiety(Reference Hervik and Svihus30,Reference Kristensen and Jensen31) . Fibre also impacts on bowel health, with decreased risk of constipation(Reference Reynolds, Mann and Cummings29). In contrast, the consumption of free sugars (table sugar, fruit juice, honey, sugar-sweetened beverages or sugary snacks) could result in excess energy intake leading to overweight and obesity(Reference Te Morenga, Mallard and Mann32).
National nutrition surveys in the UK and USA found that ultra-processed foods (NOVA classification) accounted for 65–90 % of energy intakes from sugars, and about 50 % of total energy intake(Reference Martinez Steele, Baraldi and Louzada33,Reference Rauber, Louzada and Martinez Steele34) . Ultra-processed foods often have high fat and salt contents, and include highly processed refined carbohydrates which are low in fibre (e.g. white starch)(Reference Poti, Braga and Qin35). A controlled in-patient metabolic ward randomised controlled trials (RCT) of ad libitum intake showed that more calories were consumed with a diet offering ultra-processed foods, compared to unprocessed foods, resulting in 1 kg weight gain over 2 weeks(Reference Hall, Ayuketah and Brychta36).
What are low-carbohydrate diets?
Prominent media coverage has promoted the idea that obesity and metabolic diseases derive almost entirely from the consumption of sugar, and because all carbohydrates are digested as sugars, from any dietary carbohydrate. The promotion of LCD, with unlimited fat (including saturated fats) and protein stems from this paradigm; for example, the Atkins diet, which limits intakes of bread, pasta and rice, allows unlimited consumption of animal foods such as red meat and processed meat, high in SFA(Reference Atkins37). While calories from sugar (free sugar, added sugar) are largely unnecessary, total carbohydrate restriction could also entail avoiding health-promoting constituents of high-carbohydrate foods such as whole grains.
Definitions of LCD in the scientific literature vary, and may reflect either diets low in carbohydrate as percentage of energy intake, or low absolute daily consumption (g) of carbohydrate. Commonly used definitions for human subjects range from intakes below 20 % to below 45 % of energy, and from below 60 g to below 120 g carbohydrate daily(Reference Mansoor, Vinknes and Veierod38–Reference Gardner, Trepanowski and Del Gobbo42). Some authors propose referring to LCD as carbohydrate below 40 %(Reference Frigolet, Ramos Barragan and Tamez Gonzalez43) or 26 %(Reference Feinman, Pogozelski and Astrup1) of energy, and to very-LCD when carbohydrate is under 20 %(Reference Frigolet, Ramos Barragan and Tamez Gonzalez43) or under 10 %(Reference Feinman, Pogozelski and Astrup1) of energy, with no consensus to date (Table 2). The term LCD is commonly applied regardless of other macronutrient contents in the overall diet composition, which introduces variance in the constituent foods being used, and in metabolic responses. For example, a low-carbohydrate, high saturated fat diet increased LDL-cholesterol(Reference Chiu, Williams and Krauss44), whereas a low-carbohydrate, low saturated fat, high unsaturated fat diets showed no change in LDL-cholesterol(Reference Tay, Luscombe-Marsh and Thompson45). Another study of plant-based LCD with low saturated/high unsaturated fat contents also reported a reduction in LDL-cholesterol(Reference Jenkins, Wong and Kendall46).
Table 2. Proposed definitions of low-carbohydrate diets (LCD)
E, energy.
In addition, there are many different commercial versions of the LCD, such as the Atkins diet, Zone diet or the South Beach diet(Reference Johnston, Kanters and Bandayrel47,Reference Astrup, Meinert Larsen and Harper48) . The most popular have been based on the Atkins diet, with 17 million copies of Dr Atkins New Diet Revolution sold, and heavy promotion in the media and on the internet(Reference Atkins37,49,Reference Barford50) . This diet suggests two phases. The induction phase limits intake of carbohydrate to no more than 20 g, with liberal intake of fat and protein including red meat, butter and vegetable oils and exclusion of bread, pasta, grains, fruit, other starchy vegetables and dairy products except cheese, cream and butter. Supplementary multivitamins and fibre are recommended. In the second phase, once a desirable weight has been achieved, daily carbohydrate intake can be increased to the level that can maintain weight(Reference Atkins37).
Hypothesis about low-carbohydrate diets and obesity and type 2 diabetes
Common features among obesity, T2D and metabolic syndrome are hyperinsulinemia and insulin resistance. Instead of excessive total energy intake causing weight gain, insulin resistance and hyperinsulinemia, a carbohydrate-insulin model of obesity hypothesises that carbohydrate intake, including refined starchy foods and sugars causes postprandial hyperinsulinemia, promotes lipogenesis leading to a decreased level of metabolic fuels (glucose and lipids), and leads to weight gain through increased hunger and less energy expenditure(Reference Ludwig and Ebbeling51). By this carbohydrate-insulin model, LCD could reduce postprandial insulin secretion, promote fat loss and decrease risks of chronic diseases(Reference Ludwig and Ebbeling51).
Weight loss with either LCD or low-fat diet (LFD) showed an improvement in insulin resistance, measured by an intravenous glucose tolerance test or euglycaemic–hyperinsulinemic clamp(Reference Krebs, Bell and Hall52,Reference Kirk, Reeds and Finck53) . In contrast, non-weight loss, controlled feeding, short-term studies of very-low carbohydrate, high fat (high saturated fat) diets in healthy young men showed worsened insulin sensitivity, measured by oral glucose tolerance(Reference Numao, Kawano and Endo54), intravenous glucose tolerance test(Reference Johnson, Stannard and Rowlands55) and euglycaemic–hyperinsulinemic clamps(Reference Bachmann, Dahl and Brechtel56,Reference Stettler, Ith and Acheson57) . Conversely, short-term studies in healthy postmenopausal women with overweight and obesity(Reference Branis, Etesami and Walker58), and men with T2D(Reference Garg, Grundy and Unger59) showed no difference in insulin sensitivity by an euglycaemic–hyperinsulinemic clamp between LCD and LFD, this might be explained by the unsaturated fatty acids used to replace carbohydrate(Reference Summers, Fielding and Bradshaw60).
The evidence of LCD on β-cell function is limited. One short-term crossover RCT of LCD v. normal diet showed a reduction in the first-phase insulin response after 3-d very low-carbohydrate, high-fat diet in healthy young men(Reference Numao, Kawano and Endo54). In animal studies, long-term ketogenic diets in mice showed an increased insulin resistance, did not prevent β-cell mass decline(Reference Lamont, Waters and Andrikopoulos61) and even showed a reduction in β-cell mass, including smaller size of islets(Reference Ellenbroek, van Dijck and Tons62). Although LCD could reduce postprandial glucose and postprandial insulin response, without weight loss, the limited evidence fails to support that LCD could reverse pathophysiology of hyperglycaemia in obesity and T2D.
Opportunities for the use of low-carbohydrate diets for diabetes prevention in individuals with overweight and obesity, who are at high risk of type 2 diabetes
Weight management, either weight loss or weight maintenance, plays the biggest role in T2D prevention in individuals with overweight and obesity. Several large diabetes prevention trials have shown a clear benefit on T2D risk reduction principally by modest weight loss mainly by lowering fat intake (<30 % energy). Other lifestyle modifications have more modest values(Reference Dunkley, Bodicoat and Greaves13–Reference Tuomilehto, Lindstrom and Eriksson16). While weight loss by LFD has been largely incorporated in diabetes prevention trials, RCT of LCD for weight loss do not have long enough follow-up to evaluate incident T2D and were not designed to study incident T2D as a primary outcome. As weight loss is an essential mechanism for T2D risk reduction, this section also discusses the role of LCD in weight loss.
The idea of LCD for weight loss first attracted public interest with the letter of William Banting published in 1863 describing his successful personal weight loss of 46 lbs (about 20 kg), from 202 lbs to 156 lbs over a 12-month period, by cutting bread, potato, pastry, milk, sugar and a majority of fruit(Reference Banting63). Several anecdotal reports of similar success have been discussed in the media(Reference O'Connor64–Reference Samkani, Skytte and Kandel66), highlighting that the successful weight loss stories with LCD could be subject to survival bias, with the experience of those who tried and failed not being reported. LCD can achieve a mean weight loss of 7 kg approximately over 6–24 months, up to 10 % of baseline body weight in non-controlled studies(Reference Santos, Esteves and da Costa Pereira67–Reference Unwin and Unwin70). LCD, however, certainly work for some, as highlighted in the DIETFITS study that participants who assigned to the LCD group lost a maximum of 30 kg body weight, while some participants gained up to 10 kg body weight(Reference Gardner, Trepanowski and Del Gobbo42).
Randomised controlled trials and meta-analyses evidence of low-carbohydrate diets for weight loss
Several RCT and meta-analyses have been conducted to examine the effects of LCD for weight loss, compared to LFD(Reference Nordmann, Nordmann and Briel71–Reference Brehm, Seeley and Daniels73). The conclusion has repeatedly been that there may be marginally greater weight loss in the short term (approximately the 2 kg expected from the depletion of glycogen and its associated water), but no consistent superiority of LCD over the longer term(Reference Churuangsuk, Kherouf and Combet4). At 6 months (Fig. 2a), meta-analyses reported that weight loss from LCD was greater than LFD by 0⋅7 to 4 kg, but this difference dropped to 0⋅5 to 1 kg at 12 months, Fig. 2b(Reference Churuangsuk, Kherouf and Combet4,Reference Bueno, de Melo and de Oliveira40,Reference Hession, Rolland and Kulkarni41,Reference Johnston, Kanters and Bandayrel47,Reference Nordmann, Nordmann and Briel71,Reference Naude, Schoonees and Senekal74) .
Fig. 2. Mean differences in weight loss between low-carbohydrate diet (LCD) v. low-fat diet (LFD) at 6 months (a) and 12 months (b) of each meta-analysis (adapted from Churuangsuk et al. (Reference Churuangsuk, Kherouf and Combet4)). Horizontal axis indicates mean differences in weight loss (kg) between LCD and LFD. The minus value indicates that LCD is more effective for weight loss than LFD.
Factors contributing to inconsistent findings among published meta-analyses of low-carbohydrate diets and low-fat diets for weight loss
Our recent systematic review of published meta-analyses(Reference Churuangsuk, Kherouf and Combet4) explores these inconsistent findings regarding the effectiveness of LCD and LFD for weight loss, partly explained by large differences in methodology. Definitions of what constitutes LCD varied among meta-analyses, ranging from 20 g/d to <45 % energy from carbohydrate. The more extreme carbohydrate restriction (20–60 g/d or 10–20 % energy) resulted in greater weight loss compared to LFD(Reference Churuangsuk, Kherouf and Combet4). With unrestricted energy LCD, participants typically consumed 30 % less total energy than baseline, resulting in a greater weight loss over 3–6 months(Reference Samaha, Iqbal and Seshadri72,Reference Brehm, Seeley and Daniels73,Reference Boden, Sargrad and Homko75) . The weight loss is then attenuated over time (12 months or more), probably via the loss of adherence, as commonly occurs in weight loss trials in free-living participants who tend to return to their previous diet and lifestyle in the obesogenic environment(Reference Alhassan, Kim and Bersamin76,Reference Pagoto and Appelhans77) .
Quality and bias among published meta-analyses of low-carbohydrate diets and low-fat diets for weight loss
We also assessed the quality of each published meta-analyses using AMSTAR 2 criteria(Reference Shea, Reeves and Wells78). Contrasting with the wide popularisation and mediatisation of LCD, only two meta-analyses were ‘high quality’ (n 2/10) and they reported no weight loss difference compared to LFD, while half (n 5/10) were of ‘critically low quality’ but reported LCD superiority over LFD for weight loss, up to 4 kg difference(Reference Churuangsuk, Kherouf and Combet4). Of particular interest, meta-analyses favouring LCD but of low quality also had higher citations (ρ = −0⋅9, P = 0⋅037), suggesting that public and scientific communities might be responding most to findings generated through poor methodology(Reference Churuangsuk, Kherouf and Combet4). Despite featuring at the top of the evidence hierarchy, meta-analyses remain open to biases.
Predictors of weight loss: macronutrients and/or diet adherence – findings from controlled feeding studies and free-living participants
LCD have been promoted on the basis that they theoretically reduce more body fat than LFD, via lessened stimulation of postprandial insulin secretion, leading to lessened inhibition of lipolysis. This hypothesis is, to date, not supported by a meta-analysis of controlled feeding studies comparing the effect of isoenergetic LCD v. LFD, with equal protein(Reference Hall and Guo79). A strength of the controlled feeding studies is of the by-passing of adherence as a confounder. The pooled results showed that LFD yielded a 108⋅764 kJ/d greater difference in energy expenditure, and a 16 g/d greater loss in body fat change, compared to LCD with equal protein(Reference Hall and Guo79). However, these differences are small and could not infer the clinical impact of the effect of dietary fat and carbohydrate on body weight loss, when energy intake is equally held between the two diets. Consistent findings were also seen in weight loss trials in free-living participants. A meta-analysis of LCD v. isoenergetic LFD(Reference Naude, Schoonees and Senekal74) reported little difference in body weight loss between the two diets at 3–6 months (mean difference −0⋅74 kg; 95 % CI −1⋅49, 0⋅01) and 1–2 years (mean difference −0⋅48 kg; 95 % CI −1⋅44, 0⋅49). This highlights that caloric restriction and adherence to the programme are superior for weight loss than macronutrients composition.
Macronutrients, appetite and weight control
Given that controlled metabolic studies find no difference in weight loss with low or high carbohydrate diets(Reference Hall and Guo79), the small short-term weight-loss advantage of LCD over high-carbohydrate energy-restricted diets in free-living people may be due to greater ease, willingness or enthusiasm to restrict high-carbohydrate foods. High carbohydrate foods are also somewhat easier to identify(Reference Ali, Jarrar and El Sadig80,Reference Rampersaud, Kim and Gao81) , as much fat in foods is hidden (e.g. in cakes, biscuits, muffin, pizza, cereal bars)(Reference Gibson82), and this approach is currently heavily promoted via the mainstream and social media. In principle, restricting fat (37⋅656 kJ/g) should be more effective than restricting carbohydrate (16⋅736 kJ/g). It is however possible that the higher protein intake from Atkins-style LCD could suppress appetite(Reference Leidy, Tang and Armstrong83–Reference Johnstone, Horgan and Murison86).
A further oft-cited possibility is that the ketosis that develops with more extreme carbohydrate restriction, suppresses appetite(Reference Johnstone, Horgan and Murison86,Reference Gibson, Seimon and Lee87) . When body fat or dietary fat is oxidised, with weight loss or with a very-HFD, the fat oxidation products (ketone bodies) accumulate in the blood stream (e.g. β-hydroxybutyrate, 0⋅3–0⋅8 mm on LCD v. about 0⋅1 mm on typical diets with 50 % energy carbohydrate)(Reference Hallberg, McKenzie and Williams88,Reference Rosenbaum, Hall and Guo89) . Ketone body production is a biochemically necessary accompaniment of weight loss, and appetite usually increases with energy restriction and starvation(Reference Nymo, Coutinho and Eknes90,Reference Nymo, Coutinho and Jorgensen91) , as a powerful survival mechanism. Very limited evidence has examined the specific effect of raising ketone bodies to be able to confirm or refute this theory, which is highly relevant to the sustainability of carbohydrate restriction and appetite control. Stubbs et al.(Reference Stubbs, Cox and Evans92) recently published a crossover RCT of exogenous ketone (via a ketone ester drink) compared to a dextrose drink. Ketone ester ingestion markedly increased the blood β-hydroxybutyrate level from 0⋅2 to 3⋅3 mm after 60 min, and suppressed reported hunger and desire to eat (both measured by visual analogue scales) by 50 % compared to a dextrose drink, 1⋅5 to 4 h postprandially(Reference Stubbs, Cox and Evans92).
There is current interest in the evidence that some carbohydrates, functioning as dietary fibre, can suppress appetite and weight gain by releasing SCFA, which stimulate glucagon-like peptide-1 (GLP-1) release from the large intestine, through the action of gut microbes(Reference Chambers, Viardot and Psichas93). Dietary inulin-propionate ester is metabolised by gut microbes to deliver propionate to the large intestine(Reference Byrne, Chambers and Preston94,Reference Chambers, Byrne and Morrison95) . Propionate acutely stimulates GLP-1 production resulting in appetite suppression and decreased energy intake(Reference Chambers, Viardot and Psichas93). However, the effect on GLP-1 release is not well sustained over time, while the effect on appetite suppression is maintained(Reference Chambers, Viardot and Psichas93), suggesting that other mechanisms unrelated to GLP-1 may operate(Reference Byrne, Chambers and Morrison96). Other physical effects of dietary fibre (e.g. viscosity, gel formation) could also play a role in appetite suppression(Reference Poutanen, Dussort and Erkner97). Although the underlying mechanism of dietary fibre and appetite suppression is not fully confirmed, the collective evidence would support the use of high-fibre diets for weight control(Reference Chambers, Viardot and Psichas93–Reference Chambers, Byrne and Morrison95,Reference Poutanen, Dussort and Erkner97,Reference Zhu, Jia and Meng98) . Fig. 3 illustrates the levels of ketones, propionate and satiety in relation to carbohydrate and dietary fibre intakes.
Fig. 3. (Colour online) Proposed relationships between carbohydrates (CHO), dietary fibre, ketones and propionate levels and satiety. E, energy.
Opportunities for the use of low-carbohydrate diets as a treatment strategy for patients with type 2 diabetes
Controlling blood glucose within a desirable range, evaluated via measurement of HbA1c, is a primary aim for T2D management(99,Reference Davies, D'Alessio and Fradkin100) . LCD have been postulated to have physiological benefits over higher carbohydrate diets for HbA1c reduction. A lower postprandial glucose excursion would be expected after LCD, compared to higher carbohydrate diets if they present greater glycaemic index or glycaemic loads(Reference Samkani, Skytte and Kandel66,Reference Kang, Wang and Lifang101) . A reduced postprandial excursion should lead to a better overall glucose control and lower HbA1c. Recent clinical guidelines recommend individualised nutrition therapy for people with T2D, and allow flexibility of carbohydrate intake to suit personal preferences and metabolic goals(99,Reference Davies, D'Alessio and Fradkin100) . However, the role of LCD in T2D remains unclear and often yield mixed results(Reference Korsmo-Haugen, Brurberg and Mann102–Reference Snorgaard, Poulsen and Andersen104). This is likely to be influenced by the level of energy restriction, and protein/fat composition of the diets.
Randomised controlled trials and meta-analyses evidence of low-carbohydrate diets for blood glucose control
Meta-analyses of LCD in patients with T2D have shown little greater reductions in HbA1c compared to higher-carbohydrate diets, by 0⋅17 to 0⋅34 % over a short-term period up to 6 months with evidence grades ranging from very-low to moderate certainty(Reference Korsmo-Haugen, Brurberg and Mann102–Reference Snorgaard, Poulsen and Andersen104). Notably, results from RCT with <6 months duration showed that a lower carbohydrate intake was associated with a greater extent HbA1c reduction (r −0⋅8, P < 0⋅01)(Reference Snorgaard, Poulsen and Andersen104), this could be explained by a greater weight loss following LCD within 6 months duration(Reference Churuangsuk, Kherouf and Combet4,Reference Korsmo-Haugen, Brurberg and Mann102,Reference van Zuuren, Fedorowicz and Kuijpers103) . However, there is no difference in HbA1c reduction between the two diets at 12 months or longer(Reference Korsmo-Haugen, Brurberg and Mann102–Reference Snorgaard, Poulsen and Andersen104). The definitions of LCD in those meta-analyses were <45 % energy from carbohydrates, which departs from more conservative definitions. More importantly, the difference in HbA1c reduction between the two diets is of unclear clinical importance, with a majority of RCT included in those meta-analyses with high risk of bias(Reference Korsmo-Haugen, Brurberg and Mann102,Reference van Zuuren, Fedorowicz and Kuijpers103) .
Randomised controlled trials evidence for type 2 diabetes remission
There have been debates on the definitions of remission of T2D(Reference McCombie, Leslie and Taylor105,Reference Buse, Caprio and Cefalu106) . While there is no consensus on the remission criteria, it is obvious that blood sugar, both HbA1c and fasting blood glucose, should be below the diagnostic threshold for diagnosis of T2D. To date, there is no RCT to study the effect of LCD on T2D remission, and clinical trials aiming at T2D remission outcome were also limited with an unclear report on the remission rate and criteria(Reference Saslow, Summers and Aikens69,Reference Hallberg, McKenzie and Williams88) . A single-arm longitudinal study of a Low-Carb Program in patients with T2D reported a 1-year result that 26 % of patients (n 195/743) had HbA1c below 6⋅5 %, with either metformin or no prescribed diabetes medication(Reference Saslow, Summers and Aikens69). Another non-RCT (Virta Health study) also reported that 25⋅5 % (n 52/204) participants in the LCD group (carbohydrate <30 g/d, with behavioural therapy and frequent follow-up) had HbA1c below 6⋅5 % without prescribed diabetes medication at 1 year of intervention(Reference Hallberg, McKenzie and Williams88).
Weight loss masking the effect of low-carbohydrate diets on blood glucose improvement and type 2 diabetes remission
HbA1c reduction and T2D remission following LCD have been largely confounded by weight loss(Reference Saslow, Summers and Aikens69,Reference Hallberg, McKenzie and Williams88,Reference Korsmo-Haugen, Brurberg and Mann102–Reference Snorgaard, Poulsen and Andersen104,Reference Sato, Kanazawa and Makita107) , leaving considerable doubt over the benefit for HbA1c which can be attributed to carbohydrate quantity per se. Most evidence featuring in meta-analyses comparing the impact of LCD and LFD on HbA1c was weight loss trials(Reference Saslow, Summers and Aikens69,Reference Hallberg, McKenzie and Williams88,Reference Korsmo-Haugen, Brurberg and Mann102–Reference Snorgaard, Poulsen and Andersen104) . Similarly, the Virta Health study showed a reduction in HbA1c, from 7⋅6 to 6⋅3 %, along with a mean weight loss of 14 kg in patients with T2D(Reference Hallberg, McKenzie and Williams88).
Evidence of LCD in non-weight loss trials is limited. A crossover RCT of a low-carbohydrate, high-protein (LCHP) diet (30 % energy carbohydrate, 30 % energy protein) v. an isoenergetic conventional diabetes diet (50 % energy carbohydrate, 17 % energy protein) reported a greater reduction in HbA1c in the LCHP group (−0⋅6 (sd 0⋅1) %) compared to the conventional diabetes group (−0⋅1 (sd 0⋅1) %; P<0⋅001)(Reference Skytte, Samkani and Petersen108). This study, however, is limited by a small sample size (n 28), short duration (6 weeks for each diet) and no washout period, which could not exclude carryover effect. More importantly, greater weight loss was reported in the LCHP group (−1⋅4 kg) than the conventional diabetes group (−0⋅8 kg; P = 0⋅07)(Reference Skytte, Samkani and Petersen108). Another crossover RCT of LCHP diet v. LFD (n 8; 5 weeks) also showed a greater reduction in HbA1c following LCHP, but it is noted that there was a 2 kg weight loss during the 5-week study duration regardless of diet(Reference Gannon and Nuttall109). The greater HbA1c reduction following LCHP could be attributed to the insulinotropic effect of high protein intake(Reference Kitabchi, McDaniel and Wan110–Reference Trico, Frascerra and Baldi113). The results, therefore, needs to be confirmed by larger and longer duration RCTs.
Randomised controlled trials evidence for vascular and renal function in type 2 diabetes
Long-term RCT evidence on the safety of LCD is limited. One RCT comparing very low-carbohydrate, low-saturated fat diet v. low-fat, low-saturated fat diets in patients with T2D and no pre-existing kidney disease reported that no difference was found in vascular function determined by flow mediated dilatation that might be explained by these two diets had a similar level of SFA(Reference Wycherley, Thompson and Buckley114). Regarding renal function, a meta-analysis of nine RCT of LCD and LFD for weight loss showed that a mean change in an estimated glomerular filtration rate following LCD was little greater than LFD by 0⋅13 ml/min per 1⋅73 m2, with duration up to 1–2 years(Reference Oyabu, Hashimoto and Fukuda115).
Dietary recommendations for patients with type 2 diabetes
While there is no ideal amount of carbohydrates for patients with T2D, a guideline emphasises reduction of refined carbohydrates and added sugars, and focus on carbohydrates from vegetables, legumes, fruit, dairy (milk and yoghurt) and whole grains, in order to achieve healthful eating patterns with a variety of nutrient-dense foods(99). If patients prefer LCD, this approach should be only used for a short-term, up to 3–4 months, due to limited evidence on long-term benefits and harms of LCD(99).
Challenges associated with the use of low-carbohydrate diets
Low-carbohydrate diets and micronutrients
While weight is often the main outcome, nutritional quality of all diets should be a key primary concern. As key characteristic of LCD, avoidance of whole grains, fruit and starchy vegetables could reduce vitamins, minerals as well as plant bioactives (which play a role in the modulation of glycative stress(Reference Palma-Duran, Vlassopoulos and Lean116,Reference Vlassopoulos, Lean and Combet117) , relevant to T2D pathophysiology). The negative impact of LCD on micronutrients has often been neglected. Our systematic review(Reference Churuangsuk, Griffiths and Lean118) found seven RCT(Reference Brehm, Seeley and Daniels73,Reference Bazzano, Hu and Reynolds119–Reference Truby, Hiscutt and Herriot124) , two non-controlled trials(Reference Mardinoglu, Wu and Bjornson125,Reference Miller, Bertino and Reed126) and one cross-sectional study(Reference Elidottir, Halldorsson and Gunnarsdottir127) reporting rather consistent reductions in thiamine (vitamin B1), folate, vitamin C, magnesium, calcium, iron and iodine intakes(Reference Churuangsuk, Griffiths and Lean118). Although there is no definitive guidance for supplementation during LCD, only one study provided supplementation to participants(Reference Miller, Bertino and Reed126). Most of the studies included did not report on supplements used in their studies(Reference Churuangsuk, Griffiths and Lean118). It is therefore difficult to assess whether inadequate micronutrient intakes have been topped-up by supplementation(Reference Churuangsuk, Griffiths and Lean118).
This could have clinical consequences. For example, severe thiamine deficiency and beriberi are well-recognised with prolonged extreme LCD(Reference Hoyt and Billson128,Reference McKenna, Drummond and Drummond129) . Inadequate intakes of folate and iodine in women of child-bearing age could increase the risk of poor fetal outcomes(Reference Gernand, Schulze and Stewart130). Gardner et al. showed that individuals on the Atkins diet had lower intake of thiamine and magnesium over 8 weeks(Reference Gardner, Kim and Bersamin120). Unfortunately, there have been case reports of thiamine deficiency from following a LCD. Bilateral optic neuropathy was reported in two patients who followed a prolonged carbohydrate-restricted diet(Reference Hoyt and Billson128). Another case of Wernicke's encephalopathy and cardiac beriberi was reported in a patient with obesity who restricted breads and pasta from his diet(Reference McKenna, Drummond and Drummond129).
Low-carbohydrate diets and LDL-cholesterol
Lipid disturbance is commonly seen in individuals with overweight and obesity, including those with T2D, who are at high risk of atherosclerotic CVD (ASCVD). High TAG and low HDL-cholesterol are risk factors of ASCVD, while high LDL-cholesterol is a main culprit of ASCVD, depositing in an arterial wall, initiating plaque formation and progression of ASCVD(Reference Ference, Ginsberg and Graham131,Reference Goldstein and Brown132) . There has long been a concern about increasing LDL-cholesterol following LCD, albeit balanced by decreasing the TAG level(Reference Churuangsuk, Kherouf and Combet4).
Evidence from weight loss trials showed that LCD increased LDL-cholesterol to a greater extent compared to LFD (by 0⋅1 to 0⋅4 mm, or 4 to 16 mg/dl) over 6 to 24 months intervention(Reference Mansoor, Vinknes and Veierod38–Reference Hession, Rolland and Kulkarni41,Reference Nordmann, Nordmann and Briel71,Reference Hu, Mills and Yao133) . The lower carbohydrate component in the diet may be associated with a greater increment in the LDL-cholesterol level, as seen in a cohort of patients with T2D following ketogenic diets (<30 g/d of carbohydrate) that LDL-cholesterol increased by 10 % after 1 year of the diet(Reference Hallberg, McKenzie and Williams88). In non-weight loss studies(Reference Chiu, Williams and Krauss44,Reference Rosenbaum, Hall and Guo89,Reference Mangravite, Chiu and Wojnoonski134) , low-carbohydrate, high-fat, high saturated fat diets (18–25 % energy saturated fat) for 3–4 weeks, showed 17–21 % increment in LDL-cholesterol from baseline, including increments in small and medium LDL participles(Reference Chiu, Williams and Krauss44,Reference Rosenbaum, Hall and Guo89) .
Most importantly, there were two case reports of acute coronary syndrome in patients following the Atkins diet. A 51-year-old man, healthy, physically active, no previous heart disease, diabetes, hypertension or dyslipidaemia developed a marked change in LDL-cholesterol, from 2⋅2 mm (85 mg/dl) at 6 months prior to the Atkins diet to 4 mm (154 mg/dl) at 1 month after the diet, BMI 21⋅8 kg/m2, despite a 3 kg weight loss. The patient remained on this diet until 29 months later when he experienced exertional chest pain, and his cardiac catheterisation demonstrated a severe stenosis of the left anterior descending artery(Reference Barnett, Barnard and Radak135). Another case report was a 41-year-old man, who had no ASCVD risks and no family history of premature coronary artery disease. His BMI was 19⋅5 kg/m2. The patient adhered to the Atkins diet for 6 years with repeated cycles each year. His blood lipids, apoliprotein A and homocysteine levels were within normal limits. He presented with acute chest pain in which the investigation showed an acute myocardial infarction(Reference Sheikh, Chahal and Rock-Willoughby136).
Low-carbohydrate diets and ketoacidosis
Ketosis is associated with, and largely causes, dangerous acidosis (ketoacidosis) in poorly treated insulin-deficient type 1 diabetes. Apart from micronutrient inadequacies and increased LDL-cholesterol, ketosis usually develops in individuals following LCD(Reference Hallberg, McKenzie and Williams88). Although there is no severe ketoacidosis reported in clinical trials, there is a case report of ketoacidosis in a non-diabetic lactating woman following a ketogenic diet with <20 g/d carbohydrate. The patient developed nausea and vomiting after 10 d of the diet. Serum pH was 7⋅2 indicating acidosis, with blood ketones of 7⋅1 mm (reference <0⋅5 mm). The authors hypothesised that lactation could aggravate or trigger ketoacidosis: during lactation, women require increased energy intake to meet the high demand of substrate to produce milk. Fat, whether stored or dietary, is the primary resource of energy during a ketogenic diet, and thus responsible for ketoacidosis(Reference von Geijer and Ekelund137).
Long-term epidemiological evidence on low-carbohydrate diets, type 2 diabetes, cardiovascular risks and mortality
Intervention studies comparing LCD and LFD have shown little or no difference on weight change over 1–2 years, but do not have long enough follow-up to study the clinical outcomes such as incident T2D, CVD and mortality or long-term safety.
Low-carbohydrate diets, HbA1c level and incident type 2 diabetes
Our cross-sectional analysis in people without known diabetes in the National Diet and Nutrition Survey in the UK showed that, although few people (n 8 or 0⋅24 % of the overall sample) met the conservative definition of LCD (<26 % energy), both lower carbohydrate intake (per 5 % energy band) and LCD pattern (according to LCD adherence score), were associated with higher HbA1c (+0⋅16 mmol/mol, P = 0⋅012, per 5 % energy decrease in carbohydrate; +0⋅10 mmol/mol, P = 0⋅001, per 2-point increase in LCD adherence score)(Reference Churuangsuk, Lean and Combet138). The National Diet and Nutrition Survey used food diaries for the estimation of dietary intakes, which are more accurate and less reliant on memories compared to the FFQ. While the study design does not inform cause and effect, the findings are to some extent in line with longitudinal studies(Reference de Koning, Fung and Liao139,Reference Namazi, Larijani and Azadbakht140) . This evidence indicates that it is unlikely that consuming lower carbohydrate content per se could lower the HbA1c level. Other mechanisms (e.g. oxidative stress, peripheral insulin resistance) could contribute to HbA1c elevation, as high oxidative stress can enhance protein glycation without hyperglycaemia(Reference Vlassopoulos, Lean and Combet141).
When looking at incident T2D and LCD, the most recent cohort study in Australian women showed a 27 % higher risk of T2D with LCD (comparing extreme quartiles, with absolute risk increase of about 3 %), although the relative risk (RR) was attenuated to 10 % after adjustment for BMI(Reference Rayner, D'Arcy and Ross142). A meta-analysis of eleven prospective cohort studies showed that different regions had different outcomes(Reference Noto, Goto and Tsujimoto143). In Europe(Reference Ericson, Rukh and Stojkovic144–Reference Sluijs, Beulens and van der Schouw147), LCD increased the T2D risk by 12 % (pooled relative risk (RR) 1⋅12; 95 % CI 1⋅04, 1⋅20), whereas in Japan(Reference Nanri, Mizoue and Kurotani148) and China(Reference Villegas, Liu and Gao149), LCD decreased the T2D risk by 20 % (pooled RR 0⋅80; 95 % CI 0⋅70, 0⋅90)(Reference Noto, Goto and Tsujimoto143). The pooled result in Asian countries was explained by white rice as a key food source of (refined) carbohydrate, a major component in Japanese and Chinese diets(Reference Nanri, Mizoue and Kurotani148,Reference Villegas, Liu and Gao149) . A study showed that substituting white rice with brown rice or wholegrain could result in T2D risk reduction by 16 and 36 % respectively(Reference Sun, Spiegelman and van Dam150).
Sources of protein and fat in replacing carbohydrate also contributed to T2D risk. LCD with high animal protein and fat was associated with a 37 % increase in T2D risk in men (95 % CI 1⋅2, 1⋅58; P-trend <0⋅01)(Reference de Koning, Fung and Liao139), and a 40 % increase in T2D risk in women with history of gestational diabetes (95 % CI 1⋅06, 1⋅84; P-trend = 0⋅004)(Reference Bao, Li and Chavarro151). Conversely, LCD with vegetable protein and fat was associated with a 18 % T2D risk reduction in women (95 % CI 0⋅71, 0⋅94; P-trend = 0⋅001)(Reference Halton, Liu and Manson152). Contrary findings between men and women could be explained by sex differences in T2D susceptibility(Reference Tramunt, Smati and Grandgeorge153). Pre-menopausal women are less susceptible to T2D than men, partly explained by the difference in sex steroid hormones(Reference Tramunt, Smati and Grandgeorge153). Endogenous oestrogen plays a protective role in various metabolic regulations including insulin secretion and sensitivity, although the underlying mechanism has yet to be explored(Reference Tramunt, Smati and Grandgeorge153). Women have higher capability for lipid utilisation, favouring subcutaneous adipose tissue as an energy storage, preventing them from ectopic fat accumulation(Reference Tramunt, Smati and Grandgeorge153).
Low-carbohydrate diets and CVD
In the prospective cohort Nurses Health Study of 82 802 women, diets were assessed by a validated FFQ and a calculated ‘LCD score’ (higher scores representing higher intakes of fat and protein, and lower intake of carbohydrate). During the 20 years follow-up, a higher LCD score (10th decile v. 1st decile) was associated with a 29 % increased risk of CHD (age-adjusted RR 1⋅29; 95 % CI 1⋅04, 1⋅60). After adjustment for BMI, smoking status, physical activity, history of diabetes and hypertension, the adjusted RR for CHD was attenuated to 0⋅94 (95 % CI 0⋅76, 1⋅18, P for trend 0⋅19). Interestingly, when analysing the LCD score based on vegetable protein and vegetable fat, the adjusted RR of CHD was 0⋅70 (95 % CI 0⋅56, 0⋅88; P-trend 0⋅002) whereas when animal protein and animal fat were chosen, the adjusted RR was 0⋅94 (95 % CI 0⋅74, 1⋅19; P-trend 0⋅52)(Reference Halton, Willett and Liu154). When using a composite outcome of cardiovascular events (IHD, ischemic stroke, haemorrhagic stroke, subarachnoid haemorrhage and peripheral arterial disease), a large cohort study of 43 396 Swedish women reported that every two units greater in the LCHP diet score was associated with a 5 % increase in the incidence of cardiovascular events (incidence rate ratio 1⋅05; 95 % CI 1⋅02, 1⋅08)(Reference Lagiou, Sandin and Lof155).
LCD are also associated with increased risk of incident atrial fibrillation(Reference Zhang, Zhuang and Lin156). Findings from a large prospective community-based cohort study (Atherosclerosis Risk in Communities Study) showed that every 9⋅4 % higher in carbohydrate intake as percentage of energy (1-standard deviation) was associated with reduced risk of incident atrial fibrillation by 18 % (adjusted hazard ratio 0⋅82; 95 % CI 0⋅72, 0⋅94), while there was no association found between animal and plant sources of protein and fat and incident atrial fibrillation(Reference Zhang, Zhuang and Lin156). These contrasting findings highlight the need to pay greater attention to the foods (and nutrients) replacing carbohydrates in LCD.
Low-carbohydrate diets and mortality
Several prospective cohort studies and their meta-analyses showed consistent findings that the LCD pattern was associated with an increased risk of all-cause mortality and cardiovascular mortality(Reference Lagiou, Sandin and Weiderpass157–Reference Seidelmann, Claggett and Cheng163). The Atherosclerosis Risk in Communities Study found a U-shaped association between carbohydrate intake (% energy) and all-cause mortality, with the lowest mortality risk at 50–55 % energy carbohydrate. The authors also conducted the meta-analysis for carbohydrate and mortality(Reference Noto, Goto and Tsujimoto162–Reference Dehghan, Mente and Zhang164). Compared to moderate carbohydrate intake (about 50 % energy), low carbohydrate intake (<40 % energy) was associated with a 20 % increased risk of all-cause mortality (pooled hazard ratio 1⋅2; 95 % CI 1⋅09, 1⋅32; P<0⋅0001), and high carbohydrate intake (>70 % energy) was also associated with a 23 % increased risk of all-cause mortality (pooled hazard ratio 1⋅23; 95 % CI 1⋅11, 1⋅36; P<0⋅0001)(Reference Seidelmann, Claggett and Cheng163). The meta-analysis also showed that mortality increased by 18 % when replacing carbohydrate with animal-sourced fat and protein, and decreased by 18 % when replacing carbohydrate with plant-sourced fat and protein(Reference Seidelmann, Claggett and Cheng163). Another population-based cohort study also showed a 22 % increased risk of all-cause mortality, a 13 % increased risk of ASCVD mortality and an 8 % increased risk of cancer death in associations with LCD pattern (comparing between extreme quartiles, adjusted for BMI)(Reference Mazidi, Katsiki and Mikhailidis5).
Analysis of the combined databases of the Nurses Health Study and the Health Professional Follow-Up Study was performed in the population of post-myocardial infarction survivors(Reference Li, Flint and Pai165). Those in the highest quintile of the LCD score from animal-sourced protein and fat had a 33 % higher risk of all-cause mortality (95 % CI 1⋅06, 1⋅65) and a 51 % increased risk of cardiovascular mortality (95 % CI 1⋅09, 2⋅07) than those in the lowest quintile(Reference Li, Flint and Pai165). Interestingly, individuals who changed their diet from pre- to post-myocardial infarction towards the LCD pattern was also associated with higher all-cause and cardiovascular morality by 30 and 53 % respectively.(Reference Li, Flint and Pai165)
Real world data on the use of low-carbohydrate diets
Evidence documenting the use of LCD outside clinical trials remains scarce. In the UK, an estimated three-million people have tried LCD, accounting for 7–10 % of respondents in a media poll(49), similar to a finding of 7 % from a population-based survey in Finland(Reference Jallinoja, Niva and Helakorpi166), while it was up to 17 % in a nationally representative samples from the Health Information National Trends Survey in the USA(Reference Finney Rutten, Lazarus Yaroch and Colon-Ramos3). A survey of individuals following LCD (in the Active Low-Carber Forum, an online support group for LCD in the USA) reported that Atkins-style diets ranked top of LCD used, accounting for 74 % of reports(Reference Feinman, Vernon and Westman167). Two-third of respondents had lost 30 lbs in weight, or more(Reference Feinman, Vernon and Westman167). Avoiding sugar (94 %) and avoiding starch (84 %) were important factors for weight loss plan, while only 12 % of respondents thought that ‘decreasing fat’ was an important factor(Reference Feinman, Vernon and Westman167).
There is limited evidence for the use of LCD in clinical practice. Dr Unwin et al. reported a case series of nineteen patients with T2D and pre-diabetes who participated in a LCD programme from one general practice(Reference Unwin and Unwin70). The LCD advice was to reduce all starchy carbohydrate foods (e.g. breads, pasta, rice), tropical fruit and vegetable oils, while promoting consumptions of green vegetables, berries, meat, eggs, fish, olive oil, coconut oil and butter. Patients were also advised to consume processed meat such as sausages, bacon, ham, in moderation. One patient withdrew at the initial stage for personal reason. Of eighteen patients, mean weight loss was 8⋅6 (sd 4⋅2) kg (P<0⋅0001), and HbA1c dropped significantly from 51 (sd 14) to 40 (sd 4) mmol/mol (P<0⋅001) over 8 months(Reference Unwin and Unwin70). Although this report was of small sample size with no control diet, it emphasised that LCD can be effective for weight loss and glucose control, and can be implemented in clinical practice. Long-term data of LCD in patients with T2D in primary care has the potential to depict both benefits and risks on hard clinical outcomes especially CVD events, renal adverse effects and even mortality. The role of the healthcare practitioner as a source of support is also an important consideration in the context of this work.
Real-world data on dietary intakes in self-reported LCD followers are also limited(Reference Elidottir, Halldorsson and Gunnarsdottir127,Reference Collins, Winham and Hutchins168) . A recent cross-sectional study from Iceland with fifty-four self-reported LCD followers (80 % overweight and 60 % with elevated LDL-cholesterol level) demonstrated further insight into nutrient intakes(Reference Elidottir, Halldorsson and Gunnarsdottir127). Median intake of carbohydrate was very low (only 8 % energy) while median fat intake was very high at 68 % energy, with 25 % energy from SFA. Consumption of whole grain was only 5 g/d and fibre only 11 g/d. Vegetable intake was of 170 g/d compared to 120 g/d of general population; this shows that vegetable intake is an important source of fibre in the context of LCD, requiring further emphasis (beyond the simple 5-a-day message) when carbohydrate-rich foods are limited or excluded. Red meat intake was 130 g/d, nearly double the intake of the general population in Iceland. Approximately half of the participants had intakes of vitamin A, thiamine, folate, vitamin C, calcium, iron and magnesium lower than recommendations. In contrast, 75 % of participants consumed greater sodium than recommended (2400 mg daily)(Reference Elidottir, Halldorsson and Gunnarsdottir127).
As such, healthfulness of LCD is highly dependent on choices of the foods to restrict but also foods to include and promote. As practiced, LCD may not be a healthful, nutritionally-replete dietary approach, unless great care is taken to balance intakes. In USA, LCD followers had a healthy eating index score lower than those with higher carbohydrate diets (58⋅2 v. 70⋅4, P = 0⋅012)(Reference Collins, Winham and Hutchins168). Only half of LCD followers had support from their doctors, and two-thirds valued information from online supporting websites instead of government websites/publications(Reference Feinman, Vernon and Westman167). Our own work is currently seeking to establish a clearer picture of such practice (C Churuangsuk, MEJ Lean and E Combet, unpublished results). Fig. 4 summarises the opportunities and challenges presented by LCD in T2D management and prevention.
Fig. 4. (Colour online) Opportunities and challenges for low-carbohydrate diets (LCD) in type 2 diabetes management and prevention. The solid line indicates extensive and strong evidence. The dashed line indicates limited evidence. (+) indicates positive effect. (−) indicates negative effect. (?) indicates no sufficient evidence. T2D, type 2 diabetes.
Limitations of current research
The well-known limitation of the RCT of LCD is the absence of evidence for long-term effectiveness on hard clinical outcomes such as incident T2D, cardiovascular events and mortality, instead of weight loss. Regarding T2D management, remission should be a primary aim for T2D treatment especially in early T2D, and high quality RCT of LCD aiming at T2D remission in comparison with other weight loss diets or routine care are needed.
RCT and epidemiological evidence showed that the selection of food choices/sources of protein and fat could have different effects on health, but limited RCT on the effect of food choices/sources of protein and fat in replacing carbohydrate have been conducted(Reference Tay, Luscombe-Marsh and Thompson45,Reference Jenkins, Wong and Kendall46) . It is possible to design a healthful LCD with a complete micronutrient profile and no detrimental effect on LDL-cholesterol(Reference Tay, Luscombe-Marsh and Thompson45,Reference Jenkins, Wong and Kendall46,Reference Zinn, Rush and Johnson169) , but this may require close supervision by dietitians in collaboration with other health care professionals.
The ongoing debate on the usefulness of FFQ as a dietary assessment tool in epidemiological studies has highlighted the pitfalls associated with poorer accuracy of nutrient intake estimation and reliance on memory for recall. While FFQ are practical in the context of large sample sizes (e.g. population-based study) and to rank dietary data, carbohydrate intake reports generated via this method should be evaluated carefully. While the epidemiological evidence to date shows detrimental effects of LCD on health, the amount of carbohydrate consumed is usually higher than intakes relevant to individuals following (very) low carbohydrate intake, <20–30 % energy. Real-world data in self-reported low-carbohydrate dieters may help better elucidate the relationship between LCD, dietary habits and long-term health status.
Conclusions
RCT clearly show the efficacy of LCD for weight loss in people with obesity and/or T2D, leading to glycaemic improvement. Their efficacy, however, is little different from that of higher carbohydrate diets or other weight loss diets with less drastic restriction of whole food groups. Many studies show only short-term benefit when compared to higher carbohydrate diets. LCD may be preferred by some people, and have value at least for short-term results, but may potentially lead to micronutrient deficiencies and increased LDL-cholesterol, and there are longer-term risks of T2D and CVD. Ensuring dietary micronutrient adequacy through food fortification or supplementation should be considered for all who wish to pursue or prescribe long-term LCD. Food choices in replacement of the carbohydrate source may alleviate the negative effects of LCD, but evidence on this topic remains limited. Evidence is lacking over whether the main energy source during LCD should be fat or protein. Long-term, high-quality RCT of LCD with different food sources between animal and plants, aiming for hard clinical endpoints instead of weight loss are difficult to conduct, but needed to generate reliable advice.
Acknowledgements
The authors would like to acknowledge Prince of Songkla University, Faculty of Medicine for their support.
Financial Support
C. C. is in receipt of a scholarship from Prince of Songkla University, Faculty of Medicine, Thailand. Prince of Songkla University, Faculty of Medicine had no role in the design, analysis or writing of this article.
Conflicts of Interest
M. E J. L. reports departmental research funding from Diabetes UK and Novo Nordisk, and personal fees for consultancy, advisory boards and lecturing from Novo Nordisk, Eli Lilly, Roche and Sanofi. EC reports current funding from Filippo Berio.
Authorship
C. C. gathered and critically appraised the literature and drafted the manuscript. E. C. and M. E. J. L. reviewed and contributed to the manuscript.
