Published online Oct 15, 2017. doi: 10.4239/wjd.v8.i10.440
Peer-review started: January 16, 2017
First decision: February 20, 2017
Revised: August 15, 2017
Accepted: September 1, 2017
Article in press: September 3, 2017
Published online: October 15, 2017
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This review will examine topical issues in weight loss and weight maintenance in people with and without diabetes. A high protein, low glycemic index diet would appear to be best for 12-mo weight maintenance in people without type 2 diabetes. This dietary pattern is currently being explored in a large prevention of diabetes intervention. Intermittent energy restriction is useful but no better than daily energy restriction but there needs to be larger and longer term trials performed. There appears to be no evidence that intermittent fasting or intermittent severe energy restriction has a metabolic benefit beyond the weight loss produced and does not spare lean mass compared with daily energy restriction. Meal replacements are useful and can produce weight loss similar to or better than food restriction alone. Very low calorie diets can produce weight loss of 11-16 kg at 12 mo with persistent weight loss of 1-2 kg at 4-6 years with a very wide variation in long term results. Long term medication or meal replacement support can produce more sustained weight loss. In type 2 diabetes very low carbohydrate diets are strongly recommended by some groups but the long term evidence is very limited and no published trial is longer than 12 mo. Although obesity is strongly genetically based the microbiome may play a small role but human evidence is currently very limited.
Core tip: Very low energy or very low calorie diet (VLCD) may reverse early type 2 diabetes and very low carbohydrate diets may offer a short term advantage in reducing medication use and/or lower HbA1c more than a more conventional diet. Intermittent energy restriction may be helpful in some people but more data is required. Long term weight maintenance after VLCD may be helped by a higher protein lower glycemic index diet but drugs and partial meal replacements are also helpful.
- Citation: Clifton P. Assessing the evidence for weight loss strategies in people with and without type 2 diabetes. World J Diabetes 2017; 8(10): 440-454
- URL: https://www.wjgnet.com/1948-9358/full/v8/i10/440.htm
- DOI: https://dx.doi.org/10.4239/wjd.v8.i10.440
Observational cohorts from the Nurses’ Health Study I and II and the Health Professionals Follow up study with a total of 120000 participants have been very useful at examining dietary predictors of weight gain[1,2]. In these cohorts there was a weight gain of 1.45 kg over 4 years. A one cup increase in: (1) sugar sweetened beverages increased weight gain by 0.36 kg; and (2) fruit juice by 0.22 kg while a 1 cup increase in coffee decreased weight by 0.14 kg as did tea by 0.03 kg. Substituting water for sugar sweetened beverages decreased weight gain by 0.49 kg. Greater than average increase in weight was associated with potatoes and French Fries, sugar-sweetened beverages, red meat, alcohol, TV watching, short or long hours of sleep (< 6 or > 8 h/night) and quitting smoking. Lower than average weight gain was associated with a high consumption of vegetables, whole grains, fruit, nuts, yogurt and physical activity.
Long term caloric reduction and weight loss induces a reduction in resting metabolic rate that is usually greater than expected by the lean tissue loss[3], and increased energy efficiency of digestion and absorption and movement[4] all of which make weight maintenance a difficult proposition. Hunger is increased and appetite and satiety hormones still deranged 12 mo after initial weight loss despite weight stability or even some weight regain[5]. Whether the higher thermic effect[6] and higher satiety value of protein[7] helps maintain weight loss is not totally clear. Higher fiber intake and lower energy density plus increased polyunsaturated fat intake have been associated with better weight maintenance[8]. Long term weight maintenance after large weight losses in the National Weight Control Register is associated with frequent self-monitoring of body weight and food intake, consistency of food intake, always eating breakfast, low variety of food, low fat, low fast food intakes and high levels of regular physical activity (10-11 mJ/wk) although none of these behaviors may be causally related to weight maintenance Once these successful maintainers have maintained a weight loss for 2-5 years, the chances of longer-term success greatly increase[9,10].
Low fat ad libitum diets have been recommended for many decades on the basis of several observations: (1) energy from fat is less satiating than energy from carbohydrate, and a high fat/carbohydrate ratio (and thus higher energy density) in the diet can promote passive overconsumption, a positive energy balance and weight gain in susceptible individuals as most individuals eat a fixed volume of food[11-13]; (2) fat is more readily absorbed from the intestine than carbohydrate and faecal energy loss is much lower with a high dietary fat/carbohydrate ratio; (3) carbohydrate is more thermogenic than fat[14] and energy expenditure is lower during positive energy balance produced by a diet with a high fat/carbohydrate ratio than during positive energy balance produced by a diet with a low fat/carbohydrate ratio[15]; and (4) a high fat diet may damage the intestinal barrier and cause intestinal dysbiosis[16,17].
Low fat diets were reviewed many years ago by Astrup et al[18]. Summaries for all the diets are found in Table 1. He found that low-fat diets cause weight loss proportional to pretreatment body weight and weight loss is correlated positively to the reduction in dietary fat content. A reduction of 10% fat energy produces an average 5-kg weight loss in obese persons. After major weight loss, an ad libitum low-fat diet program appeared to be superior to caloric counting in maintaining the weight loss 2 years later. A recent meta-analysis from Tobias et al[19] found low diets were not different to high fat weight loss diets but worth 5 kg compared with no intervention. A Cochrane meta-analysis from Hooper confirmed the weight loss effects of a low fat diet compared with usual diet with an effect size of 1.5 kg[20].
Type of diet | Type of summary document | Effect size | Long term data | Recommendation | Risk markers |
Low fat diet | Systematic review[18] | 10% reduction in fat lowers weight by 5 kg | |||
Low fat diet | Meta-analysis[19] | Not different to high fat weight loss diets Worth 5 kg compared with control | |||
Low fat diet | Cochrane[20] meta-analysis 32 RCT, 54000 participants At least 6-mo duration | Mean reduction 1.5 kg for low fat without intention to lose weight | No reduction with time | High quality evidence-effect seen in almost all studies | |
Conclusion | A useful strategy well worth pursuing | ||||
High protein diet | Meta-analysis of 12 m or greater weight loss studies 3492 individuals[22] | SMD 0.14 for weight P = 0.008) and 0.22 for fat mass, P < 0.001 for 2%-5% energy differences in protein. > 5% energy protein difference 0.9 kg weight loss | Data out to 5 yr still shows a small residual effect | Lower triglyceride (SMD 0.17, P = 0.003) and lower insulin (SMD 0.22, P = 0.042) | |
High protein diet | Meta-analysis of controlled short term studies[24] | 0.79 kg weight 95%CI: -1.50, -0.08 kg), 0.8 kg greater fat mass loss (-0.87 kg; 95%CI: -1.26, 0.48 ), 0.43 kg (95%CI: 0.09, 0.78) reduction in lean loss | Lower triglyceride (-0.23 mmol/L; 95%CI: -0.33, -0.12 mmol/L). Reductions in falls in REE (595.5 kJ/d; 95%CI: 67.0, 1124.1 kJ/d) | ||
Conclusion | Small effects. Difficult to maintain a higher protein intake long term as other sources of calories creep in | ||||
Very low carbohydrate diets | Energy controlled < 45% CHO vs < 30% fat 23 trials 2788 participants[31] | Weight outcomes same | Slightly lower LDL, TG, increased HDL | ||
Very low carbohydrate diets | Meta-analysis of 6 mo studies, 11 studies[25] | Atkins diet better by WMD -2.17 kg; 95%CI: -3.36, -0.99 | Not long term | No long term benefit, possible adverse CVD effects | Triglyceride was lowered WMD -0.26 mmol/L; 95%CI: -0.37, -0.15 by the low carbohydrate diet; LDL elevated by WMD 0.16 mmol/L; 95%CI: 0.003, 0.33). HDL elevated WMD 0.14 mmol/L; 95%CI: 0.09, 0.19 |
Very low carbohydrate diets | Meta-analysis of 12 mo or > studies, n = 5[25] | Weight outcomes same | No long term benefit | ||
Conclusion | No long term benefit | ||||
Very low calorie diet | Review of 12 studies[35] of VLCD vs behavioural program and diet change | VLCD was worth an additional 3.9 kg at 12 m and 1.4 kg at 24 m and 1.3 kg at 38-60 m. Dropouts were the same at 19%-20% which was lower than expected | Long term benefit seen | Worth trying with weight loss maintenance programs | |
Very low calorie diet | Single hospital based clinic n = 1109[36] | 19% still attending at 3 yr and the mean weight loss of this group was 6.4 kg. Weight loss was 7.7% vs 2.3% for drugs (topiramate plus phentermine or sibutramine) compared with no drugs | |||
Conclusion | Well worth trying if large weight loss required | ||||
Weight maintenance after VLCD | 8 European centres[38] 11% weight loss with VLCD after 8 wk Randomised to high or normal protein 25% vs 13% and high or low GI 15U different | Fewer participants in the high-protein and the low glycemic-index groups than in the low-protein–high-glycemic-index group dropped out of the study (26.4% and 25.6% vs 37.4%; P = 0.02 and P = 0.01) | The difference in weight regain after 1 yr[39] between protein groups was 2.0 (0.4, 3.6) kg (P = 0.017) (completers analysis, n = 139) or 2.8 (1.4, 4.1) kg (P < 0.001) (intention-to-treat analysis, n = 256) | In the shop centres (where food was provided) protein had a more powerful effect (2.7 kg compared with low protein, P < 0.001) while low GI had less effect (0.48 kg, NS) Protein may have modest long term weight maintenance effects | |
Weight maintenance after VLCD | 189 participants on VLCD for 3 mo then high or normal protein for 12 mo[40] | No difference between diets Weight regain over 9 mo was modest at 2 kg with a final weight loss of 14.5 kg overall. Overall dropout rate was 53% and compliance measures to the high protein diet were limited | Because compliance measures were limited conclusions on benefit (or absence of benefit) are limited | ||
Conclusions | Protein may be of some benefit, GI isn’t long term. More trials required | ||||
Intermittent energy restriction | 2 d partial fast and 5 normal days or alternate day fasting | Weight loss similar to CER over 3-6 mo[40-42,44,45] | No long term data | No additional metabolic benefit[47,48] | |
Conclusion | Insufficient data, no long term data. More work required | ||||
Glycemic index | 23 young adults[50] low GI ad lib vs Low fat diet with energy reduction of 250-500 kcal | Weight loss 7.8% vs 6.1% (NS) | Triglyceride was lowered by 37.2% and 19.1% (P = 0.005) at 6 mo with no difference at 12 mo. PAI-1 was lowered by 39% with the low GI diet vs a 33% rise (despite the weight loss) | ||
Glycemic index | 73 young adults low gIycemic load diet vs low fat diet[51] | No difference at 6, 12, 18 mo Insulin above the median (57.5 μIU/mL; n = 28) at 30 min of OGTT -5.8 vs -1.2 kg on low GL diet vs low fat diet (P = 0.004) and body fat percentage (-2.6% vs -0.9%; P = 0.03). No difference in insulin sensitive group | CVD risk markers the same | ||
Conclusion | Insufficient data for any conclusions | ||||
Mediterranean diet | Mediterranean vs low fat vs low carbohydrate diet in 322 people in a workplace setting[51] | Weight loss in the 272 completers was 2.9 kg for the low-fat group, 4.4 kg for the Mediterranean-diet group, and 4.7 kg for the low-carbohydrate group; a moderate reduction only (P < 0.001 for the interaction between diet group and time) | During 6 follow-up period, participants had regained 2.7 kg of weight lost in the low-fat group, 1.4 kg in the Mediterranean group, and 4.1 kg in the low-carbohydrate group (P = 0.004 for all comparisons) For the entire 6-yr period, the total weight loss was 0.6 kg in the low-fat group, 3.1 kg in the Mediterranean group, and 1.7 kg in the low-carbohydrate group (P = 0.01 for all comparisons) with the Mediterranean group and the low-carbohydrate group not different from each other (P = 0.22)[52] | ||
Conclusion | Mediterranean diet best long term and has the longest follow up along with VLCD | ||||
Low sugar diet | Meta-analysis of 30 trials and 38 cohorts[53] | Adults decrease in body weight (0.80 kg, 95%CI: 0.39 to 1.21; P < 0.001) Cohort studies sugar caused increase weight increase of 0.75 kg, 95%CI: 0.30 to 1.19; P = 0.001) Interventions in children SSB vs control beverage 1 kg (95%CI for the difference, -1.54 to -0.48)[54] | 12 mo difference in weight of 1.9 kg SSB vs water disappeared 12 mo after trial stopped[55] | ||
Conclusion | Strong evidence for the benefit of sugar reduction in beverages | ||||
Multicomponent | 33 RCTS of at least 1 yr’s duration[56] | Weight loss vs exercise 3.2 kg, 95%CI: -4.8 kg to -1.6 kg) Type of diet not important | Low-fat diets, some with meal replacements, with physical activity and behavior change training gave most effective long-term weight change in men (-5.2 kg after 4 yr) | ||
Multicomponent | Commercial weight loss programs[57] | Pooled results from five study arms in commercial weight management programs showed significant weight loss at 12 mo (-2.22 kg, 95%CI: -2.90 to -1.54) Two commercial weight loss arms (mean difference -6.83 kg, 95%CI: -8.39 to -5.26) GP interventions mean difference -0.45 kg, 95%CI: -1.34 to 0.43) | |||
Conclusion | Commercial plans of some value | ||||
Calcium | Meta-analysis of calcium RCTs | RCTs of about 600 overweight and obese individuals from 7 trials dietary calcium supplementation of about 1000 mg was associated with weight loss and fat loss of approximately 1 kg over 6 mo and had a greater effect in pre - than in postmenopausal women[59] | Calcium (1000 mg) and vitamin D after 3 yr of follow-up women with daily calcium intakes of < 1200 mg at baseline on supplements were 11% less likely to experience weight gain[61] | ||
Conclusion | Marginal effect only | ||||
Dairy | Meta-analysis of 27 trials of dairy added to energy restriction[62] Meta-analysis of added calcium or dairy without weight restriction-no effects seen[60] | A greater reduction in body weight [-1.16 kg (95%CI: -1.66 to -0.66), P < 0.001, I² = 11%, QR = high, n = 644) and body fat mass [-1.49 kg (95%CI: -2.06 to -0.92), P < 0.001, I² = 21%, n = 521, QR = high) smaller loss of lean mass of 0.36 kg (0.01, 0.71 kg), P = 0.04, I² = 64%, n = 651, QR = moderate) | No long term data | ||
Conclusion | Dairy may be useful component of a weight loss diet but does nothing by itself in the absence of weight loss |
High protein weight loss diets reduce the intake of carbohydrate and fat but maintain protein intake to take advantage of their greater satiety (10%-15% less food intake after a protein preload[21]) and thermic effects. Atkins and South Beach diets maintain protein intake but in addition dramatically reduce carbohydrate and replace it with fat. Omitting a major food group inevitably leads to weight loss but long term adherence is difficult.
Clifton et al[22] performed a meta-analysis of planned high protein diets vs normal protein weight loss diets with at least 10% protein difference planned or expected (e.g., Atkins diets) and followed up for 12 mo or more. The actual reported difference in protein intake at the end of the study was usually 2%-5% of energy. Thirty-two studies with 3492 individuals were analyzed with data on fat and lean mass, glucose and insulin data was available from 18 to 22 studies and lipids from 28 studies. This meta-analysis included the large but very negative Sacks study[23]. A difference in favor of the high protein of about 0.4 kg for weight and fat mass was found. A difference of 5% or greater in percentage protein between diets at 12 mo was associated with a 3-fold greater effect size compared with < 5% (P = 0.038) in fat mass (0.9 vs 0.3 kg). Fasting triglyceride and insulin were also lower with high protein diets. Other lipids and glucose were not different. A meta-analysis of short term calorie controlled interventions was performed by Wycherley et al[24]. Despite the similar energy prescription weight loss was greater on the high protein, low fat diet with a difference in weight of -0.79 kg and fat mass of 0.8 kg with lower triglycerides. There was also mitigation of reductions in fat-free mass of 0.43 kg and resting energy expenditure.
There have been several meta-analysis of low carbohydrate diets[25-31]. One compared low carbohydrate diets (< 45%) vs low fat (< 30%) diets in an energy controlled, constant protein design. In 23 trials containing 2788 participants weight outcomes were the same with slightly lower low-density lipoprotein (LDL), increased high-density lipoprotein and lower TG[31]. In a meta-analysis of 5 studies[25] of 12 mo or more duration there was no difference in weight although 11 studies of 6 mo or more duration[25] showed a 2 kg difference in favor of the Atkins diet. Although triglyceride was lowered as expected by 0.35 mmol/L by the low carbohydrate diet LDL cholesterol was still elevated by 0.2 mmol/L by the high saturated fat diet which could increase the risk of cardiovascular disease (CVD) suggesting the Atkins diet may not be the best diet for those at risk of CVD[25,32-34]. Flow mediated dilatation which is a reasonable proxy for CVD risk is impaired after an Atkins diet despite weight loss and blood pressure and glucose reduction[35]. South Beach style diets which use unsaturated fats instead may be better for those at risk of CVD[34].
Another variant of a high protein diet is the meal replacement which provides mostly protein with a small amount of carbohydrate or fat but also provides a very structured, controlled intake especially in its very low calorie diet (VLCD) form. The latter is not frequently used because of rapid weight regain after its cessation but if drugs are used better weight maintenance can be achieved.
A recent review examined 12 studies with 974 participants comparing VLCD to behavioural programs that would be conducted in a medical clinic. Compared with behavioural programs (mostly diet alone) VLCD was worth an additional 3.9 kg at 12 m and 1.4 kg at 24 m and 1.3 kg at 38-60 m. Dropouts were the same at 19%-20% which was lower than expected[36]. A follow up of an obesity clinic hospital population of 1109 hospital patients given VLCD showed that 19% were still attending at 3 years and the mean weight loss of this group was 6.4 kg. Weight loss was 7.7% vs 2.3% for drugs (topiramate plus phentermine or sibutramine) compared with no drugs[37].
Larsen et al[38] completed a large pan European trial in 8 centres which randomised participants to a normal or high protein diet or a low glycemic index or moderate glycemic index. After 773 completed the VLCD phase they were randomised to the maintenance diets for 6 mo. Although the high protein diet was planned to be 25% of energy compared with 13% in the normal diet the difference between the two was only 5%. The GI was planned to be 15 U different but only a 5 U difference was achieved. In an intention-to-treat analysis, the weight regain was 0.93 kg less in the high-protein group than in the low-protein group (P = 0.003) and 0.95 kg less in low-GI diet than in the high GI diet (P = 0.003). Only the low protein, low GI group gained a significant amount of weight over the 6 mo (1.67 kg; P < 0.01). The follow up was extended to 1 year in 2 of the centres. The difference in weight regain after 1 year between protein groups was 2.0 kg (P = 0.017). No consistent effect of GI on weight regain was found[39].
Contrary results were found by Delbridge et al[40] who placed 180 participants on a VLCD for 3 mo and then randomised them to a high protein weight maintenance diet or a normal protein diet. Weight regain over 9 mo was modest at 2 kg with a final weight loss of 14.5 kg overall. Overall dropout rate was 53% and compliance measures to the high protein diet were limited so it is difficult to draw any firm conclusions form this study.
Intermittent energy restriction consists of either 2 d of 600-880 kcal/d with 5 d of a normal diet or alternate day fasting. The weight loss results are very similar to a 25%-30% calorie reduction every day over 3-6 mo[41,42]. Similar results have been seen with alternate day fasting[43] and week on/week off diets[44] and there is some evidence of usefulness in people with type 2 diabetes[45,46]. Alternate day fasting may be just as efficacious as full VLCD[47]. The suggestion there may be metabolic benefit of intermittent energy restriction is currently unproven[48,49].
There are very limited studies for weight loss in people without diabetes. Ebbeling et al[50] studied 23 young obese adults over 12 mo comparing an ad libitum low GI diet to a low fat diet with an energy reduction of 250-500 kcal/d. Body weight was lowered by a similar amount at 12 mo. Plasminogen activator inhibitor-1 was lowered by 39% with the low GI diet vs a 33% rise (despite the weight loss). In a second study of 73 young obese adults a low glycemic load diet was not different from a low fat diet at 6, 12 and 18 mo[51]. For those with a high insulin concentration at 30 min after a 75 g OGTT (i.e., insulin resistant) the low-glycemic load diet produced a greater decrease in weight (-5.8 kg vs -1.2 kg; P = 0.004) than the low-fat diet at 18 mo. No differences were seen in the insulin sensitive group. CVD risk markers were not influenced by insulin response status.
Shai et al[52] compared a Mediterranean to an Atkins and a low fat weight loss diet in 322 subjects with a mean body mass index (BMI) 31 of whom 86% male in a controlled workplace setting in the Negev desert (The DIRECT study). At 2 years 84.6% were still enrolled in the study. Weight loss in the 272 completers was 2.9 kg for the low-fat group, 4.4 kg for the Mediterranean-diet group, and 4.7 kg for the low-carbohydrate group (a moderate reduction) (only P < 0.001 for the interaction between diet group and time). Predictors of successful weight loss at 6 m were increasing the intake of vegetables and decreasing the intake of sweets and cakes.
At 6 years after study initiation, 67% of the participants had continued with their originally assigned diet, 11% had switched to another diet, and 22% were not dieting (P = 0.36 for all comparisons). For the entire 6-year period, the total weight loss was 0.6 kg in the low-fat group, 3.1 kg in the Mediterranean group, and 1.7 kg in the low-carbohydrate group (P = 0.01 for all comparisons) with the Mediterranean group and the low-carbohydrate group not different from each other (P = 0.22)[53].
Te Morenga et al[54] performed a meta-analysis of low sugar diets. In trials of adults with ad libitum diets reduced intake of dietary sugars was associated with a decrease in body weight of 0.80 kg, P < 0.001. Isoenergetic exchange of dietary sugars with other carbohydrates showed no change in body weight. In cohort studies increased sugar intake was associated with a weight increase of 0.75 kg, P = 0.001). In children a controlled randomised beverage trials of sugar sweetened beverages vs artificially sweetened over 18m demonstrated a weight increase of 6.35 kg in the sugar-free group as compared with 7.37 kg in the sugar group[55]. In 223 overweight/obese adolescents home delivery of water and diet beverages in children who were regular consumers of sugar sweetened beverages for 1 year induced changes in weight (-1.9 kg, P = 0.04) compared with the control group at 1 year but this disappeared at 2 years[56].
Robertson et al[57] examined weight loss studies in men of at least 1 year’s duration and 33 RCTs were located which met the inclusion criteria. Reducing diets tended to produce more favorable weight loss than physical activity alone (mean weight difference after 1 year from a reducing diet compared with an exercise program of 3.2 kg). The type of reducing diet did not affect long-term weight loss. A reducing diet plus physical activity and behavior change gave the most effective results. Low-fat reducing diets, some with meal replacements, combined with physical activity and behavior change training gave the most effective long-term weight change in men of 5.2 kg after 4 years.
Hartmann-Boyce et al[58] examined multicomponent interventions delivered in a routine clinical practice environment with assessment at 12 mo. Pooled results from five study arms in commercial weight management programs showed significant weight loss at 12 mo of 2.22 kg. Results from two arms of a study testing a commercial program providing meal replacements also showed a significant weight loss of 6.8 kg. In contrast, pooled results from five interventions delivered by primary care teams showed no evidence of an effect on weight. Clearly commercial weight loss programs can be of value.
Calcium binds fat in the gut so that an additional dietary calcium intake of 1000 mg increases faecal fat excretion by approximately 5 g/d[59] which has the potential to add to weight loss. In a meta-analysis of RCTs of about 600 overweight and obese individuals from 7 trials dietary calcium supplementation of about 1000 mg was associated with weight loss and fat loss of approximately 1 kg over 6 mo and had a greater effect in pre- than in postmenopausal women[60]. Booth et al[61] however found no effect in their meta-analysis. Most interventions used low fat milk as fat intake was not different between intervention and control in these studies. Women who received calcium (1000 mg) and vitamin D had a slightly lower weight gain than did those receiving placebo, and after 3 years of follow-up women with daily calcium intakes of < 1200 mg at baseline who were randomly assigned to supplements were 11% less likely to experience weight gain[62].
There have been several meta-analyses of the effect of addition of dairy foods to an energy restricted diet. The most recent one examined 27 trials of > 4 wk’s duration[63]. Participants consumed between 2 and 4 standard servings/day of dairy food and 20-84 g/d of whey protein compared to low dairy control diets, over a median of 16 wk. A greater reduction in body weight of 1.16 kg, n = 644 and body fat mass 1.49 kg, n = 521, 90% of whom were women. These effects were absent in studies that imposed resistance training. Dairy intake resulted in smaller loss of lean mass of 0.36 kg. No between study dose-response effects were seen. A previous meta-analysis[61] found no effect of the addition of calcium or dairy on weight, thirty-one with dairy foods (n = 2091), and twenty with Ca supplements (n = 2711).
In this section we will examine the effects of diets not just on weight but on HbA1c as an HbA1c > 7% would be one of the prime reasons overweight and obese people with diabetes would be recommended to lose weight. Weight stable dietary changes to lower HbA1c will not be examined (Table 2).
Type of diet | Type of summary document | Effect size | Long term data | Recommendation | Risk markers |
Low glycemic index/low glycemic load | Canadian Trial of Carbohydrate in Diabetes[63] 12 mo study in 162 volunteers The HGI, LGI and LC diets contained 47% ± 1%, 52% ± 1% and 40% ± 1% energy carbohydrate; 30% ± 1%, 27% ± 1% and 40% ± 1% fat with GI 64 ± 0.4, 55 ± 0.4 and 59 ± 0.4 | No difference between diets | None | ||
Low glycemic index | Canadian low glycemic index diet study[64] in 210 participants with type 2 diabetes on hypoglycemic medication | No effect on weight | None | HbA1c lower buy 0.32% on low glycemic index diet compared with high fibre diet | |
No value in type 2 diabetes | |||||
All randomised diets in type 2 diabetes of 12 mo or more duration | Eleven trials[65] were identified with 6754 participants were reviewed. Eight trials compared different diets while 3 compared diets to usual care. Only two study groups reported a weight loss of ≥ 5%: A Mediterranean-style diet implemented in newly diagnosed adults with type 2 diabetes and an intensive lifestyle intervention implemented in the Look AHEAD (Action for Health in Diabetes) trial | ||||
Conclusion | Mediterranean diet best | ||||
Look ahead study | The Look Ahead Study[66] enrolled 5145, aged 45-74 yr, with BMI > 25 (> 27 if taking insulin) into a weight loss (with meal replacements if required) and exercise intervention | The Intensive lifestyle intervention produced an 8.6% weight loss at 1 yr vs 0.7% in control group | At 4 yr weight was still 5.3% lower compared with control. Weight loss of 10% or more at 8 yr in 27% of the intensive lifestyle group with 50% achieving more than 5% weight loss[70] support and education control group achieved a weight loss of 10% or more in 17% of the group with 5% or more weight loss achieved by 36% | Mean HbA1c dropped from 7.3% to 6.6% At 4 yr HbA1c-0.27% lower Post hoc analysis in the whole population (4834) over 10 yr[72] showed that those who lost at least 10% of their body weight in the first year had a 21% lower (HR 0.79, 95%CI: 0.64-0.98, P = 0.034) risk of primary outcome (death from CVD, MI, stroke, admission for angina), and a 24% reduced risk of the secondary outcome (primary plus CABG, carotid endarterectomy, stent, heart failure, PVD or total mortality) (adjusted HR 0.76, 95%CI: 0.63-0.91; P = 0.003) | |
Conclusion | Only non-surgical weight loss study with reduction in hard end points | ||||
Atkins diet | A 6-mo study from one group of Atkins vs calorie-reduced low GI diet in volunteers with a BMI 38, of whom 80% were women[76] | Body weight fell by 11.1 kg vs 6.9 kg, P = 0.008 58.3% (49) participants completing | HbA1c was reduced by -1.5% vs -0.5% (P = 0.03) LDL was higher in the Atkins group by 4% | ||
Atkins diet | 48w study[77] comparing an Atkins diet to a low fat diet plus orlistat in which 32% of the volunteers had type 2 diabetes (n = 46) | Weight loss 8.65% to 9.5% with no differences between groups | |||
South Beach diet | 80 volunteers completed a 12 mo very low carbohydrate diet vs an energy matched high carbohydrate diet[34,78] | 9.8 and 10.1 kg at 12 mo | Hba1c changes different at 6 mo but not at 12.1% reduction | ||
Conclusions | Low carbohydrate diets good in short term with intensive support | ||||
VLCD | Meta-analysis of 5 studies of VLCD in volunteers with diabetes or no diabetes[80] | Weekly weight loss was similar in the two groups at 0.5 to 0.6 kg/wk. Weight losses of > 15%-20% were observed in these studies | |||
VLCD | Retrospective analysis of 355 patients with diabetes matched with nondiabetics | After 12 wk, there was significant weight loss within each group when compared with baseline (T2DM: 115.0 ± 24.4 kg vs 96.7 ± 21.4 kg, P < 0.0001; non-T2DM: 117.2 ± 25.8 kg vs 97.3 ± 22.2 kg, P < 0.0001) | No long term data available | ||
Total cohort comprised 204 males: 506 females, age 54.0 ± 9.1; BMI 41.6 ± 8.1; weight 116.1 ± 25.1 kg[81] | At 12 wk, weight change (-18.3 ± 7.3 kg vs -19.9 ± 7.0 kg, P = 0.012) were significantly less in the T2DM group when compared with the non-T2DM group | ||||
VLCD | 40 individuals with type 2 diabetes and no control group | Weight loss of 10 kg at 1 yr after an 8 wk VLCD. Five year data from a comparison of self-selected VLCD (15) to modest caloric restriction (n = 15) showed better weight loss in the conventional diet 8.9 kg vs 4.8 kg[83] Early use of VLCD can cause remission of type 2 diabetes[84] | Long term data shows benefit | VLCD useful | |
Conclusion | Although expensive VLCD has long term benefits | ||||
Diet plus exercise | 2 controlled studies adding aerobic or resistance exercise to significant weight loss over 12 to 16 wk[86,87] | No additional benefit of adding exercise on weight | No long term data | No additional benefit on HbA1c or any other markers | |
Conclusions | No added benefit |
Although these diets would be recommended predominantly to lower HbA1c they are also used for weight loss. The Canadian Trial of Carbohydrates in Diabetes[64] enrolled 162 people treated by diet alone who were randomly assigned to high-carbohydrate/high-glycemic-index (HGI) diets; high-carbohydrate/low-glycemic-index (LGI) diets or lower-carbohydrate/high-monounsaturated-fat (LC) diets for 1 year. No differences were seen in weight or HbA1c over 1 year but achieved GI differences were small. A second Canadian low glycemic index diet study[65] in 210 participants with type 2 diabetes on hypoglycemic medication showed no differences in weight over 6 mo compared with a high cereal fibre diet although HbA1c was lowered by 0.32%[65].
Franz et al[66] examined randomized clinical trials implementing weight-loss interventions in overweight or obese adults with type 2 diabetes with a minimum 12-mo study duration, a 70% completion rate, and an HbA1c value reported at 12 mo. Eight trials compared different diets while 3 compared diets to usual care. Only two study groups reported a weight loss of ≥ 5%: A Mediterranean-style diet implemented in newly diagnosed adults with type 2 diabetes and an intensive lifestyle intervention implemented in the Look AHEAD (Action for Health in Diabetes) trial. Both included regular physical activity and frequent contact with health professionals and reported significant beneficial effects on HbA1c, lipids, and blood pressure. All other trials either achieved a weight loss of < 5% and no benefit on HbA1c or CVD risk factors or found no differences between macronutrient interventions in weight or HbA1c.
The Look Ahead Study[67] enrolled 5145, aged 45-74 years, with BMI > 25 (> 27 if taking insulin) into a weight loss (with meal replacements if required) and exercise intervention. The Intensive lifestyle intervention produced an 8.6% weight loss at 1 year vs 0.7% in control group. Mean HbA1c dropped from 7.3% to 6.6%. At 4 years weight was still 5.3% lower compared with control and HbA1c-0.27% lower[68].
Although the study was ceased after 8 years because of lack of CVD differences compared with the control group[69] there were many benefits seen in the intervention in mood, quality of life and physical function[70]. It clearly showed that a weight loss of 10% or more could be achieved and maintained at 8 years in 27% of the intensive lifestyle group with 50% achieving more than 5% weight loss[71]. One of the reasons the trial failed to achieve its primary end point was because the support and education control group achieved a weight loss of 10% or more in 17% of the group with 5% or more weight loss achieved by 36%. The intervention led to reductions in hospitalizations (11%, P = 0.004), hospital days (15%, P = 0.01), and number of medications (6%, P = 0.001) compared with control participants who were invited to three sessions of diabetes support and education a year. No benefit was unfortunately seen in the 15% of the population with pre-existing CVD. There were fewer deaths in the intervention group (6.8% vs 7.8%) but this was not significant (P = 0.15)[72].
In secondary analyses of the full cohort[73] (both intervention and control groups), over a median 10.2 years of follow-up, individuals who lost at least 10% of their bodyweight in the first year of the study had a 21% lower risk of the primary outcome [death from CVD, MI, stroke or admission for angina (adjusted hazard ratio P = 0.034)] compared with individuals with stable weight or weight gain. In analyses treating the control group as the reference group, participants in the intensive lifestyle intervention group who lost at least 10% of their bodyweight had a 20% lower risk of the primary outcome P = 0.039.
There is a small group of advocates for low carbohydrate Atkins style diets for clinical treatment in type 2 diabetes[74-76]. A 6-mo study from one group compared Atkins (LCKD) vs calorie-reduced low GI diet (LGID) in volunteers with a BMI 38, of whom 80% were women. There was a high dropout rate with 58.3% (49) participants completing. Body weight fell by 11.1 kg vs 6.9 kg (P = 0.008) and HbA1c was reduced by -1.5% vs -0.5% (P = 0.03). LDL was higher in the Atkins group by 4% which although small is of some theoretical concern[77]. There was no long term follow up which is important as Atkins adherence drops off dramatically after 6 mo. In a 48w study comparing an Atkins diet to a low fat diet plus orlistat in which 32% of the volunteers had type 2 diabetes (n = 46) weight loss was excellent in both groups at 8.65% to 9.5% with no differences between groups[78].
In an energy controlled low carbohydrate South Beach diet compared to a usual carbohydrate weight loss diet weight loss was the same as planned (9.8 and 10.1 kg) the overall HbA1c fall was the same but there was a greater effect in the low carbohydrate group at 6 mo if HbA1c was greater than 7.8% (2.6% vs 1.9%). Drug reductions were also greater in the South Beach group. At 12 mo the HbA1c difference had disappeared[34,79].
Somewhat surprisingly the number of publications of the use of meal replacements and VLCD in diabetes is limited[80]. In a meta-analysis of 5 studies of VLCD in both people with and without diabetes there was no difference in achieved weight loss between these two groups. Weekly weight loss was similar in the two groups at 0.5 to 0.6 kg/wk. Weight losses of > 15%-20% were observed in these studies[81]. In a retrospective analysis[82] 355 participants with T2DM were matched for age, BMI and gender to participants without T2DM. The program included a daily intake of 550 kcal in addition to group support and behavior therapy provided by trained facilitators within a community-based setting. At 12 wk, weight change (-18.3 ± 7.3 kg vs -19.9 ± 7.0 kg, P = 0.012) was significantly less in the T2DM group when compared with the non-T2DM group. In a study of 40 individuals with type 2 diabetes and no control group Dhindsa et al[83] found a weight loss of 10 kg at 1 year after an 8 wk VLCD. Five year data from a comparison of self-selected VLCD (15) to modest caloric restriction (n = 15) showed better weight loss in the conventional diet 8.9 kg vs 4.8 kg[84]. Early use of VLCD can cause remission of type 2 diabetes[85].
Johansson et al[86] reviewed weight maintenance strategies and found that medication, meal replacements and high protein diets were helpful over a 5-18 mo period while exercise and supplements were not.
The final question we will examine in this review is whether exercise has additive benefits to weight loss. Wycherley et al[87,88] performed 2 studies adding aerobic or resistance exercise to significant weight loss over 12 to 16 wk and found no additional benefit of adding exercise on HbA1c or any other markers.
Rodent studies from Gordon et al taking germ-free mice and giving them a “fat” microbial population made them fat, while a lean microbial population keeps them lean[89,90]. Fat mice and lean mice[91] (and humans[92]) have different bacterial populations and the population changes as weight changes (Phyla: Firmicutes up and Bacteroidetes down with increased weight). An increase in calorie intake (from 2400 to 3400 kcal/d) in obese and lean human individuals promotes rapid changes in the gut microbiota (20% increase in Firmicutes and a corresponding decrease in Bacteroidetes) and this was associated with an increased energy harvest of approximately 150 kcal, the overfeeding in lean individuals being accompanied by a greater fractional decrease in stool energy loss[93].
Increasing dietary fat alters the microbiome, increases gut leakiness ans lipopolysaccharide absorption and enhances insulin resistance[94,95] while feeding oligofructans increase Bifido, reduce insulin resistance and inflammation[96]. Feeding flaxseed mucilage for 6w improved insulin resistance, altered 33 microbial species, lowered 8 including faecalibacterium. The species change could not be related to the change in insulin resistance[97]. Pedersen et al[98] fed a galacto-oligosaccharide mix (5.5 g/d) for 12 wk or placebo and demonstrated no changes in insulin sensitivity, glucose tolerance, gut leakiness, inflammatory markers or the microbiome. Changes in the bacterial family Veillonellaceae correlated inversely with changes in glucose response and IL-6 levels (r = -0.90, P = 0.042 for both) following prebiotic intake. Metformin may mediate some of its therapeutic effects through short-chain fatty acid production, while its intestinal adverse effects may be due to relative increase in abundance of Escherichia species. Controlling for metformin treatment, the gut microbiome shifts in T2D with a depletion of butyrate-producing taxa[99].
Weight loss induced by Roux on Y gastric bypass led to reduction of Firmicutes and Bacteroidetes and an increase of Proteobacteria and these species were related to BMI and CRP[100]. Faecalibacterium prausnitzii was directly correlated to fasting blood glucose. In an earlier study Faecalibacterium prausnitzii species was lower in subjects with diabetes and associated negatively with inflammatory markers at baseline and throughout the follow-up after surgery independently of changes in food intake[101].
Weight loss occurs with many different diets and there are no clear conclusions on the optimal diet apart from the diet which the individual can stick to long term, whatever the composition. Whether phenotyping (e.g., degree of insulin resistance) or genotyping will help diet choice is not clear.
Manuscript source: Invited manuscript
Specialty type: Endocrinology and metabolism
Country of origin: Australia
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1. | Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364:2392-2404. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1631] [Cited by in F6Publishing: 1603] [Article Influence: 123.3] [Reference Citation Analysis (0)] |
2. | Pan A, Malik VS, Hao T, Willett WC, Mozaffarian D, Hu FB. Changes in water and beverage intake and long-term weight changes: results from three prospective cohort studies. Int J Obes (Lond). 2013;37:1378-1385. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 146] [Cited by in F6Publishing: 156] [Article Influence: 14.2] [Reference Citation Analysis (0)] |
3. | Ten Haaf T, Verreijen AM, Memelink RG, Tieland M, Weijs PJ. Reduction in energy expenditure during weight loss is higher than predicted based on fat free mass and fat mass in older adults. Clin Nutr. 2016; Epub ahead of print. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 1.1] [Reference Citation Analysis (0)] |
4. | Westerterp KR. Metabolic adaptations to over--and underfeeding--still a matter of debate? Eur J Clin Nutr. 2013;67:443-445. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 36] [Cited by in F6Publishing: 38] [Article Influence: 3.2] [Reference Citation Analysis (0)] |
5. | Sumithran P, Prendergast LA, Delbridge E, Purcell K, Shulkes A, Kriketos A, Proietto J. Long-term persistence of hormonal adaptations to weight loss. N Engl J Med. 2011;365:1597-1604. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 911] [Cited by in F6Publishing: 902] [Article Influence: 69.4] [Reference Citation Analysis (0)] |
6. | Ebbeling CB, Swain JF, Feldman HA, Wong WW, Hachey DL, Garcia-Lago E, Ludwig DS. Effects of dietary composition on energy expenditure during weight-loss maintenance. JAMA. 2012;307:2627-2634. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 266] [Cited by in F6Publishing: 257] [Article Influence: 21.4] [Reference Citation Analysis (0)] |
7. | Bellissimo N, Desantadina MV, Pencharz PB, Berall GB, Thomas SG, Anderson GH. A comparison of short-term appetite and energy intakes in normal weight and obese boys following glucose and whey-protein drinks. Int J Obes (Lond). 2008;32:362-371. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 56] [Cited by in F6Publishing: 58] [Article Influence: 3.4] [Reference Citation Analysis (0)] |
8. | Due A, Larsen TM, Mu H, Hermansen K, Stender S, Astrup A. Comparison of 3 ad libitum diets for weight-loss maintenance, risk of cardiovascular disease, and diabetes: a 6-mo randomized, controlled trial. Am J Clin Nutr. 2008;88:1232-1241. [PubMed] [Cited in This Article: ] |
9. | Thomas JG, Bond DS, Phelan S, Hill JO, Wing RR. Weight-loss maintenance for 10 years in the National Weight Control Registry. Am J Prev Med. 2014;46:17-23. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 289] [Cited by in F6Publishing: 235] [Article Influence: 23.5] [Reference Citation Analysis (0)] |
10. | Wing RR, Hill JO. Successful weight loss maintenance. Annu Rev Nutr. 2001;21:323-341. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 946] [Cited by in F6Publishing: 897] [Article Influence: 39.0] [Reference Citation Analysis (0)] |
11. | Holt SH, Delargy HJ, Lawton CL, Blundell JE. The effects of high-carbohydrate vs high-fat breakfasts on feelings of fullness and alertness, and subsequent food intake. Int J Food Sci Nutr. 1999;50:13-28. [PubMed] [Cited in This Article: ] |
12. | Rolls BJ. The role of energy density in the overconsumption of fat. J Nutr. 2000;130:268S-271S. [PubMed] [Cited in This Article: ] |
13. | Green SM, Burley VJ, Blundell JE. Effect of fat- and sucrose-containing foods on the size of eating episodes and energy intake in lean males: potential for causing overconsumption. Eur J Clin Nutr. 1994;48:547-555. [PubMed] [Cited in This Article: ] |
14. | Quatela A, Callister R, Patterson A, MacDonald-Wicks L. The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions. Nutrients. 2016;8. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 35] [Cited by in F6Publishing: 40] [Article Influence: 5.0] [Reference Citation Analysis (0)] |
15. | Horton TJ, Drougas H, Brachey A, Reed GW, Peters JC, Hill JO. Fat and carbohydrate overfeeding in humans: different effects on energy storage. Am J Clin Nutr. 1995;62:19-29. [PubMed] [Cited in This Article: ] |
16. | Murphy EA, Velazquez KT, Herbert KM. Influence of high-fat diet on gut microbiota: a driving force for chronic disease risk. Curr Opin Clin Nutr Metab Care. 2015;18:515-520. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 308] [Cited by in F6Publishing: 356] [Article Influence: 39.6] [Reference Citation Analysis (0)] |
17. | Teixeira TF, Collado MC, Ferreira CL, Bressan J, Peluzio Mdo C. Potential mechanisms for the emerging link between obesity and increased intestinal permeability. Nutr Res. 2012;32:637-647. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 166] [Cited by in F6Publishing: 176] [Article Influence: 14.7] [Reference Citation Analysis (0)] |
18. | Astrup A, Toubro S, Raben A, Skov AR. The role of low-fat diets and fat substitutes in body weight management: what have we learned from clinical studies? J Am Diet Assoc. 1997;97:S82-S87. [PubMed] [Cited in This Article: ] |
19. | Tobias DK, Chen M, Manson JE, Ludwig DS, Willett W, Hu FB. Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2015;3:968-979. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 265] [Cited by in F6Publishing: 220] [Article Influence: 24.4] [Reference Citation Analysis (0)] |
20. | Hooper L, Abdelhamid A, Bunn D, Brown T, Summerbell CD, Skeaff CM. Effects of total fat intake on body weight. Cochrane Database Syst Rev. 2015;CD011834. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 70] [Article Influence: 7.8] [Reference Citation Analysis (0)] |
21. | Bertenshaw EJ, Lluch A, Yeomans MR. Satiating effects of protein but not carbohydrate consumed in a between-meal beverage context. Physiol Behav. 2008;93:427-436. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 101] [Cited by in F6Publishing: 102] [Article Influence: 6.0] [Reference Citation Analysis (0)] |
22. | Clifton PM, Condo D, Keogh JB. Long term weight maintenance after advice to consume low carbohydrate, higher protein diets--a systematic review and meta analysis. Nutr Metab Cardiovasc Dis. 2014;24:224-235. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 113] [Cited by in F6Publishing: 107] [Article Influence: 10.7] [Reference Citation Analysis (0)] |
23. | Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, McManus K, Champagne CM, Bishop LM, Laranjo N. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. 2009;360:859-873. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1301] [Cited by in F6Publishing: 1192] [Article Influence: 79.5] [Reference Citation Analysis (0)] |
24. | Wycherley TP, Moran LJ, Clifton PM, Noakes M, Brinkworth GD. Effects of energy-restricted high-protein, low-fat compared with standard-protein, low-fat diets: a meta-analysis of randomized controlled trials. Am J Clin Nutr. 2012;96:1281-1298. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 374] [Cited by in F6Publishing: 405] [Article Influence: 33.8] [Reference Citation Analysis (0)] |
25. | Mansoor N, Vinknes KJ, Veierød MB, Retterstøl K. Effects of low-carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr. 2016;115:466-479. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 222] [Cited by in F6Publishing: 237] [Article Influence: 29.6] [Reference Citation Analysis (0)] |
26. | Hashimoto Y, Fukuda T, Oyabu C, Tanaka M, Asano M, Yamazaki M, Fukui M. Impact of low-carbohydrate diet on body composition: meta-analysis of randomized controlled studies. Obes Rev. 2016;17:499-509. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 63] [Cited by in F6Publishing: 69] [Article Influence: 8.6] [Reference Citation Analysis (0)] |
27. | Johnston BC, Kanters S, Bandayrel K, Wu P, Naji F, Siemieniuk RA, Ball GD, Busse JW, Thorlund K, Guyatt G. Comparison of weight loss among named diet programs in overweight and obese adults: a meta-analysis. JAMA. 2014;312:923-933. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 399] [Cited by in F6Publishing: 391] [Article Influence: 39.1] [Reference Citation Analysis (0)] |
28. | Nordmann AJ, Nordmann A, Briel M, Keller U, Yancy WS Jr, Brehm BJ, Bucher HC. Effects of low-carbohydrate vs low-fat diets on weight loss and cardiovascular risk factors: a meta-analysis of randomized controlled trials. Arch Intern Med. 2006;166:285-293. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 667] [Cited by in F6Publishing: 604] [Article Influence: 33.6] [Reference Citation Analysis (0)] |
29. | Bueno NB, de Melo IS, de Oliveira SL, da Rocha Ataide T. Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: a meta-analysis of randomised controlled trials. Br J Nutr. 2013;110:1178-1187. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 393] [Cited by in F6Publishing: 477] [Article Influence: 43.4] [Reference Citation Analysis (0)] |
30. | Naude CE, Schoonees A, Senekal M, Young T, Garner P, Volmink J. Low carbohydrate versus isoenergetic balanced diets for reducing weight and cardiovascular risk: a systematic review and meta-analysis. PLoS One. 2014;9:e100652. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 191] [Cited by in F6Publishing: 158] [Article Influence: 15.8] [Reference Citation Analysis (0)] |
31. | Hu T, Mills KT, Yao L, Demanelis K, Eloustaz M, Yancy WS Jr, Kelly TN, He J, Bazzano LA. Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol. 2012;176 Suppl 7:S44-S54. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 241] [Cited by in F6Publishing: 248] [Article Influence: 20.7] [Reference Citation Analysis (0)] |
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. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 179] [Cited by in F6Publishing: 190] [Article Influence: 12.7] [Reference Citation Analysis (0)] |
33. | Tay J, Brinkworth GD, Noakes M, Keogh J, Clifton PM. Metabolic effects of weight loss on a very-low-carbohydrate diet compared with an isocaloric high-carbohydrate diet in abdominally obese subjects. J Am Coll Cardiol. 2008;51:59-67. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 82] [Cited by in F6Publishing: 83] [Article Influence: 5.2] [Reference Citation Analysis (0)] |
34. | Tay J, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert GA, Yancy WS Jr, Brinkworth GD. A very low-carbohydrate, low-saturated fat diet for type 2 diabetes management: a randomized trial. Diabetes Care. 2014;37:2909-2918. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 117] [Cited by in F6Publishing: 115] [Article Influence: 11.5] [Reference Citation Analysis (0)] |
35. | Wycherley TP, Brinkworth GD, Keogh JB, Noakes M, Buckley JD, Clifton PM. Long-term effects of weight loss with a very low carbohydrate and low fat diet on vascular function in overweight and obese patients. J Intern Med. 2010;267:452-461. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 81] [Cited by in F6Publishing: 82] [Article Influence: 5.9] [Reference Citation Analysis (0)] |
36. | Parretti HM, Jebb SA, Johns DJ, Lewis AL, Christian-Brown AM, Aveyard P. Clinical effectiveness of very-low-energy diets in the management of weight loss: a systematic review and meta-analysis of randomized controlled trials. Obes Rev. 2016;17:225-234. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 77] [Article Influence: 9.6] [Reference Citation Analysis (0)] |
37. | Sumithran P, Prendergast LA, Haywood CJ, Houlihan CA, Proietto J. Review of 3-year outcomes of a very-low-energy diet-based outpatient obesity treatment programme. Clin Obes. 2016;6:101-107. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
38. | Larsen TM, Dalskov SM, van Baak M, Jebb SA, Papadaki A, Pfeiffer AF, Martinez JA, Handjieva-Darlenska T, Kunešová M, Pihlsgård M, Stender S, Holst C, Saris WH, Astrup A; Diet, Obesity, and Genes (Diogenes) Project. Diets with high or low protein content and glycemic index for weight-loss maintenance. N Engl J Med. 2010;363:2102-2113. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 609] [Cited by in F6Publishing: 564] [Article Influence: 40.3] [Reference Citation Analysis (0)] |
39. | Aller EE, Larsen TM, Claus H, Lindroos AK, Kafatos A, Pfeiffer A, Martinez JA, Handjieva-Darlenska T, Kunesova M, Stender S. Weight loss maintenance in overweight subjects on ad libitum diets with high or low protein content and glycemic index: the DIOGENES trial 12-month results. Int J Obes (Lond). 2014;38:1511-1517. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 88] [Cited by in F6Publishing: 81] [Article Influence: 8.1] [Reference Citation Analysis (0)] |
40. | Delbridge EA, Prendergast LA, Pritchard JE, Proietto J. One-year weight maintenance after significant weight loss in healthy overweight and obese subjects: does diet composition matter? Am J Clin Nutr. 2009;90:1203-1214. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 50] [Cited by in F6Publishing: 51] [Article Influence: 3.4] [Reference Citation Analysis (0)] |
41. | Harvie M, Wright C, Pegington M, McMullan D, Mitchell E, Martin B, Cutler RG, Evans G, Whiteside S, Maudsley S. The effect of intermittent energy and carbohydrate restriction v. daily energy restriction on weight loss and metabolic disease risk markers in overweight women. Br J Nutr. 2013;110:1534-1547. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 252] [Cited by in F6Publishing: 289] [Article Influence: 26.3] [Reference Citation Analysis (0)] |
42. | Harvie MN, Pegington M, Mattson MP, Frystyk J, Dillon B, Evans G, Cuzick J, Jebb SA, Martin B, Cutler RG. The effects of intermittent or continuous energy restriction on weight loss and metabolic disease risk markers: a randomized trial in young overweight women. Int J Obes (Lond). 2011;35:714-727. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 439] [Cited by in F6Publishing: 501] [Article Influence: 35.8] [Reference Citation Analysis (0)] |
43. | Varady KA, Bhutani S, Klempel MC, Kroeger CM, Trepanowski JF, Haus JM, Hoddy KK, Calvo Y. Alternate day fasting for weight loss in normal weight and overweight subjects: a randomized controlled trial. Nutr J. 2013;12:146. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 197] [Cited by in F6Publishing: 238] [Article Influence: 21.6] [Reference Citation Analysis (0)] |
44. | Keogh JB, Pedersen E, Petersen KS, Clifton PM. Effects of intermittent compared to continuous energy restriction on short-term weight loss and long-term weight loss maintenance. Clin Obes. 2014;4:150-156. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 49] [Cited by in F6Publishing: 47] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
45. | Carter S, Clifton PM, Keogh JB. The effects of intermittent compared to continuous energy restriction on glycaemic control in type 2 diabetes; a pragmatic pilot trial. Diabetes Res Clin Pract. 2016;122:106-112. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 111] [Cited by in F6Publishing: 122] [Article Influence: 15.3] [Reference Citation Analysis (0)] |
46. | Carter S, Clifton PM, Keogh JB. Intermittent energy restriction in type 2 diabetes: A short discussion of medication management. World J Diabetes. 2016;7:627-630. [PubMed] [DOI] [Cited in This Article: ] [Cited by in CrossRef: 11] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis (0)] |
47. | Alhamdan BA, Garcia-Alvarez A, Alzahrnai AH, Karanxha J, Stretchberry DR, Contrera KJ, Utria AF, Cheskin LJ. Alternate-day versus daily energy restriction diets: which is more effective for weight loss? A systematic review and meta-analysis. Obes Sci Pract. 2016;2:293-302. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 48] [Cited by in F6Publishing: 62] [Article Influence: 7.8] [Reference Citation Analysis (0)] |
48. | Seimon RV, Roekenes JA, Zibellini J, Zhu B, Gibson AA, Hills AP, Wood RE, King NA, Byrne NM, Sainsbury A. Do intermittent diets provide physiological benefits over continuous diets for weight loss? A systematic review of clinical trials. Mol Cell Endocrinol. 2015;418 Pt 2:153-172. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 125] [Cited by in F6Publishing: 133] [Article Influence: 14.8] [Reference Citation Analysis (0)] |
49. | Headland M, Clifton PM, Carter S, Keogh JB. Weight-Loss Outcomes: A Systematic Review and Meta-Analysis of Intermittent Energy Restriction Trials Lasting a Minimum of 6 Months. Nutrients. 2016;8:E354. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 74] [Cited by in F6Publishing: 77] [Article Influence: 9.6] [Reference Citation Analysis (0)] |
50. | Ebbeling CB, Leidig MM, Sinclair KB, Seger-Shippee LG, Feldman HA, Ludwig DS. Effects of an ad libitum low-glycemic load diet on cardiovascular disease risk factors in obese young adults. Am J Clin Nutr. 2005;81:976-982. [PubMed] [Cited in This Article: ] |
51. | Ebbeling CB, Leidig MM, Feldman HA, Lovesky MM, Ludwig DS. Effects of a low-glycemic load vs low-fat diet in obese young adults: a randomized trial. JAMA. 2007;297:2092-2102. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 284] [Cited by in F6Publishing: 265] [Article Influence: 15.6] [Reference Citation Analysis (0)] |
52. | Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witkow S, Greenberg I, Golan R, Fraser D, Bolotin A, Vardi H, Tangi-Rozental O, Zuk-Ramot R, Sarusi B, Brickner D, Schwartz Z, Sheiner E, Marko R, Katorza E, Thiery J, Fiedler GM, Blüher M, Stumvoll M, Stampfer MJ; Dietary Intervention Randomized Controlled Trial (DIRECT) Group. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med. 2008;359:229-241. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1379] [Cited by in F6Publishing: 1243] [Article Influence: 77.7] [Reference Citation Analysis (0)] |
53. | Schwarzfuchs D, Golan R, Shai I. Four-year follow-up after two-year dietary interventions. N Engl J Med. 2012;367:1373-1374. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 71] [Cited by in F6Publishing: 59] [Article Influence: 4.9] [Reference Citation Analysis (0)] |
54. | Te Morenga L, Mallard S, Mann J. Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ. 2012;346:e7492. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 944] [Cited by in F6Publishing: 963] [Article Influence: 80.3] [Reference Citation Analysis (0)] |
55. | de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in children. N Engl J Med. 2012;367:1397-1406. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 561] [Cited by in F6Publishing: 524] [Article Influence: 43.7] [Reference Citation Analysis (0)] |
56. | Ebbeling CB, Feldman HA, Chomitz VR, Antonelli TA, Gortmaker SL, Osganian SK, Ludwig DS. A randomized trial of sugar-sweetened beverages and adolescent body weight. N Engl J Med. 2012;367:1407-1416. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 519] [Cited by in F6Publishing: 473] [Article Influence: 39.4] [Reference Citation Analysis (0)] |
57. | Robertson C, Archibald D, Avenell A, Douglas F, Hoddinott P, van Teijlingen E, Boyers D, Stewart F, Boachie C, Fioratou E. Systematic reviews of and integrated report on the quantitative, qualitative and economic evidence base for the management of obesity in men. Health Technol Assess. 2014;18:v-vi, xxiii-xxxix, 1-424. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 116] [Cited by in F6Publishing: 132] [Article Influence: 14.7] [Reference Citation Analysis (0)] |
58. | Hartmann-Boyce J, Johns DJ, Jebb SA, Summerbell C, Aveyard P; Behavioural Weight Management Review Group. Behavioural weight management programmes for adults assessed by trials conducted in everyday contexts: systematic review and meta-analysis. Obes Rev. 2014;15:920-932. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 93] [Cited by in F6Publishing: 105] [Article Influence: 10.5] [Reference Citation Analysis (0)] |
59. | Christensen R, Lorenzen JK, Svith CR, Bartels EM, Melanson EL, Saris WH, Tremblay A, Astrup A. Effect of calcium from dairy and dietary supplements on faecal fat excretion: a meta-analysis of randomized controlled trials. Obes Rev. 2009;10:475-486. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 210] [Cited by in F6Publishing: 194] [Article Influence: 12.9] [Reference Citation Analysis (0)] |
60. | Onakpoya IJ, Perry R, Zhang J, Ernst E. Efficacy of calcium supplementation for management of overweight and obesity: systematic review of randomized clinical trials. Nutr Rev. 2011;69:335-343. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 67] [Cited by in F6Publishing: 68] [Article Influence: 5.2] [Reference Citation Analysis (0)] |
61. | Booth AO, Huggins CE, Wattanapenpaiboon N, Nowson CA. Effect of increasing dietary calcium through supplements and dairy food on body weight and body composition: a meta-analysis of randomised controlled trials. Br J Nutr. 2015;114:1013-1025. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 48] [Cited by in F6Publishing: 45] [Article Influence: 5.0] [Reference Citation Analysis (0)] |
62. | Caan B, Neuhouser M, Aragaki A, Lewis CB, Jackson R, LeBoff MS, Margolis KL, Powell L, Uwaifo G, Whitlock E. Calcium plus vitamin D supplementation and the risk of postmenopausal weight gain. Arch Intern Med. 2007;167:893-902. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 94] [Cited by in F6Publishing: 97] [Article Influence: 5.7] [Reference Citation Analysis (0)] |
63. | Stonehouse W, Wycherley T, Luscombe-Marsh N, Taylor P, Brinkworth G, Riley M. Dairy Intake Enhances Body Weight and Composition Changes during Energy Restriction in 18-50-Year-Old Adults-A Meta-Analysis of Randomized Controlled Trials. Nutrients. 2016;8:E394. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 38] [Article Influence: 4.8] [Reference Citation Analysis (0)] |
64. | Wolever TM, Gibbs AL, Mehling C, Chiasson JL, Connelly PW, Josse RG, Leiter LA, Maheux P, Rabasa-Lhoret R, Rodger NW. The Canadian Trial of Carbohydrates in Diabetes (CCD), a 1-y controlled trial of low-glycemic-index dietary carbohydrate in type 2 diabetes: no effect on glycated hemoglobin but reduction in C-reactive protein. Am J Clin Nutr. 2008;87:114-125. [PubMed] [Cited in This Article: ] |
65. | Jenkins DJ, Kendall CW, McKeown-Eyssen G, Josse RG, Silverberg J, Booth GL, Vidgen E, Josse AR, Nguyen TH, Corrigan S. Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA. 2008;300:2742-2753. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 294] [Cited by in F6Publishing: 257] [Article Influence: 16.1] [Reference Citation Analysis (0)] |
66. | Franz MJ, Boucher JL, Rutten-Ramos S, VanWormer JJ. Lifestyle weight-loss intervention outcomes in overweight and obese adults with type 2 diabetes: a systematic review and meta-analysis of randomized clinical trials. J Acad Nutr Diet. 2015;115:1447-1463. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 325] [Cited by in F6Publishing: 392] [Article Influence: 43.6] [Reference Citation Analysis (0)] |
67. | Look AHEAD Research Group, Pi-Sunyer X, Blackburn G, Brancati FL, Bray GA, Bright R, Clark JM, Curtis JM, Espeland MA, Foreyt JP, Graves K, Haffner SM, Harrison B, Hill JO, Horton ES, Jakicic J, Jeffery RW, Johnson KC, Kahn S, Kelley DE, Kitabchi AE, Knowler WC, Lewis CE, Maschak-Carey BJ, Montgomery B, Nathan DM, Patricio J, Peters A, Redmon JB, Reeves RS, Ryan DH, Safford M, Van Dorsten B, Wadden TA, Wagenknecht L, Wesche-Thobaben J, Wing RR, Yanovski SZ. Reduction in weight and cardiovascular disease risk factors in individuals with type 2 diabetes: one-year results of the look AHEAD trial. Diabetes Care. 2007;30:1374-1383. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1097] [Cited by in F6Publishing: 1030] [Article Influence: 60.6] [Reference Citation Analysis (0)] |
68. | Look AHEAD Research Group, Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med. 2010;170:1566-1575. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 278] [Cited by in F6Publishing: 584] [Article Influence: 41.7] [Reference Citation Analysis (0)] |
69. | Look AHEAD Research Group, Wing RR, Bolin P, Brancati FL, Bray GA, Clark JM, Coday M, Crow RS, Curtis JM, Egan CM, Espeland MA, Evans M, Foreyt JP, Ghazarian S, Gregg EW, Harrison B, Hazuda HP, Hill JO, Horton ES, Hubbard VS, Jakicic JM, Jeffery RW, Johnson KC, Kahn SE, Kitabchi AE, Knowler WC, Lewis CE, Maschak-Carey BJ, Montez MG, Murillo A, Nathan DM, Patricio J, Peters A, Pi-Sunyer X, Pownall H, Reboussin D, Regensteiner JG, Rickman AD, Ryan DH, Safford M, Wadden TA, Wagenknecht LE, West DS, Williamson DF, Yanovski SZ. Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med. 2013;369:145-154. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1843] [Cited by in F6Publishing: 1868] [Article Influence: 169.8] [Reference Citation Analysis (0)] |
70. | Rubin RR, Wadden TA, Bahnson JL, Blackburn GL, Brancati FL, Bray GA, Coday M, Crow SJ, Curtis JM, Dutton G. Impact of intensive lifestyle intervention on depression and health-related quality of life in type 2 diabetes: the Look AHEAD Trial. Diabetes Care. 2014;37:1544-1553. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 139] [Cited by in F6Publishing: 153] [Article Influence: 15.3] [Reference Citation Analysis (0)] |
71. | Look AHEAD Research Group. Eight-year weight losses with an intensive lifestyle intervention: the look AHEAD study. Obesity (Silver Spring). 2014;22:5-13. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 550] [Cited by in F6Publishing: 489] [Article Influence: 48.9] [Reference Citation Analysis (0)] |
72. | Espeland MA, Glick HA, Bertoni A, Brancati FL, Bray GA, Clark JM, Curtis JM, Egan C, Evans M, Foreyt JP. Impact of an intensive lifestyle intervention on use and cost of medical services among overweight and obese adults with type 2 diabetes: the action for health in diabetes. Diabetes Care. 2014;37:2548-2556. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 131] [Cited by in F6Publishing: 130] [Article Influence: 13.0] [Reference Citation Analysis (0)] |
73. | Look AHEAD Research Group, Gregg EW, Jakicic JM, Blackburn G, Bloomquist P, Bray GA, Clark JM, Coday M, Curtis JM, Egan C, Evans M, Foreyt J, Foster G, Hazuda HP, Hill JO, Horton ES, Hubbard VS, Jeffery RW, Johnson KC, Kitabchi AE, Knowler WC, Kriska A, Lang W, Lewis CE, Montez MG, Nathan DM, Neiberg RH, Patricio J, Peters A, Pi-Sunyer X, Pownall H, Redmon B, Regensteiner J, Rejeski J, Ribisl PM, Safford M, Stewart K, Trence D, Wadden TA, Wing RR, Yanovski SZ. Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: a post-hoc analysis of the Look AHEAD randomised clinical trial. Lancet Diabetes Endocrinol. 2016;4:913-921. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 460] [Cited by in F6Publishing: 445] [Article Influence: 55.6] [Reference Citation Analysis (0)] |
74. | Feinman RD, Pogozelski WK, Astrup A, Bernstein RK, Fine EJ, Westman EC, Accurso A, Frassetto L, Gower BA, McFarlane SI. Dietary carbohydrate restriction as the first approach in diabetes management: critical review and evidence base. Nutrition. 2015;31:1-13. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 474] [Cited by in F6Publishing: 508] [Article Influence: 50.8] [Reference Citation Analysis (0)] |
75. | van Wyk HJ, Davis RE, Davies JS. A critical review of low-carbohydrate diets in people with Type 2 diabetes. Diabet Med. 2016;33:148-157. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 69] [Cited by in F6Publishing: 64] [Article Influence: 8.0] [Reference Citation Analysis (0)] |
76. | Goday A, Bellido D, Sajoux I, Crujeiras AB, Burguera B, García-Luna PP, Oleaga A, Moreno B, Casanueva FF. Short-term safety, tolerability and efficacy of a very low-calorie-ketogenic diet interventional weight loss program versus hypocaloric diet in patients with type 2 diabetes mellitus. Nutr Diabetes. 2016;6:e230. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 114] [Cited by in F6Publishing: 159] [Article Influence: 19.9] [Reference Citation Analysis (0)] |
77. | Westman EC, Yancy WS, Edman JS, Tomlin KF, Perkins CE. Effect of 6-month adherence to a very low carbohydrate diet program. Am J Med. 2002;113:30-36. [PubMed] [Cited in This Article: ] |
78. | Yancy WS Jr, Westman EC, McDuffie JR, Grambow SC, Jeffreys AS, Bolton J, Chalecki A, Oddone EZ. A randomized trial of a low-carbohydrate diet vs orlistat plus a low-fat diet for weight loss. Arch Intern Med. 2010;170:136-145. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 104] [Cited by in F6Publishing: 114] [Article Influence: 8.1] [Reference Citation Analysis (0)] |
79. | Tay J, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert GA, Yancy WS Jr, Brinkworth GD. Comparison of low- and high-carbohydrate diets for type 2 diabetes management: a randomized trial. Am J Clin Nutr. 2015;102:780-790. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 191] [Cited by in F6Publishing: 210] [Article Influence: 23.3] [Reference Citation Analysis (0)] |
80. | Rehackova L, Arnott B, Araujo-Soares V, Adamson AA, Taylor R, Sniehotta FF. Efficacy and acceptability of very low energy diets in overweight and obese people with Type 2 diabetes mellitus: a systematic review with meta-analyses. Diabet Med. 2016;33:580-591. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 34] [Cited by in F6Publishing: 35] [Article Influence: 4.4] [Reference Citation Analysis (0)] |
81. | Leslie WS, Taylor R, Harris L, Lean ME. Weight losses with low-energy formula diets in obese patients with and without type 2 diabetes: systematic review and meta-analysis. Int J Obes (Lond). 2017;41:96-101. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 64] [Cited by in F6Publishing: 54] [Article Influence: 7.7] [Reference Citation Analysis (0)] |
82. | Rolland C, Lula S, Jenner C, Dyson L, Macdonald I, Johnston KL, Broom I. Weight loss for individuals with type 2 diabetes following a very-low-calorie diet in a community-based setting with trained facilitators for 12 weeks. Clin Obes. 2013;3:150-157. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis (0)] |
83. | Dhindsa P, Scott AR, Donnelly R. Metabolic and cardiovascular effects of very-low-calorie diet therapy in obese patients with Type 2 diabetes in secondary failure: outcomes after 1 year. Diabet Med. 2003;20:319-324. [PubMed] [Cited in This Article: ] |
84. | Paisey RB, Frost J, Harvey P, Paisey A, Bower L, Paisey RM, Taylor P, Belka I. Five year results of a prospective very low calorie diet or conventional weight loss programme in type 2 diabetes. J Hum Nutr Diet. 2002;15:121-127. [PubMed] [Cited in This Article: ] |
85. | Lim EL, Hollingsworth KG, Aribisala BS, Chen MJ, Mathers JC, Taylor R. Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia. 2011;54:2506-2514. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 746] [Cited by in F6Publishing: 734] [Article Influence: 56.5] [Reference Citation Analysis (0)] |
86. | Johansson K, Neovius M, Hemmingsson E. Effects of anti-obesity drugs, diet, and exercise on weight-loss maintenance after a very-low-calorie diet or low-calorie diet: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr. 2014;99:14-23. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 162] [Cited by in F6Publishing: 148] [Article Influence: 14.8] [Reference Citation Analysis (0)] |
87. | Wycherley TP, Brinkworth GD, Noakes M, Buckley JD, Clifton PM. Effect of caloric restriction with and without exercise training on oxidative stress and endothelial function in obese subjects with type 2 diabetes. Diabetes Obes Metab. 2008;10:1062-1073. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 83] [Cited by in F6Publishing: 81] [Article Influence: 5.1] [Reference Citation Analysis (0)] |
88. | Wycherley TP, Noakes M, Clifton PM, Cleanthous X, Keogh JB, Brinkworth GD. A high-protein diet with resistance exercise training improves weight loss and body composition in overweight and obese patients with type 2 diabetes. Diabetes Care. 2010;33:969-976. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 139] [Cited by in F6Publishing: 137] [Article Influence: 9.8] [Reference Citation Analysis (0)] |
89. | Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444:1027-1031. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 7820] [Cited by in F6Publishing: 8438] [Article Influence: 496.4] [Reference Citation Analysis (1)] |
90. | Ridaura VK, Faith JJ, Rey FE, Cheng J, Duncan AE, Kau AL, Griffin NW, Lombard V, Henrissat B, Bain JR. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013;341:1241214. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2415] [Cited by in F6Publishing: 2603] [Article Influence: 236.6] [Reference Citation Analysis (0)] |
91. | Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci USA. 2005;102:11070-11075. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4639] [Cited by in F6Publishing: 4325] [Article Influence: 227.6] [Reference Citation Analysis (1)] |
92. | Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444:1022-1023. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5789] [Cited by in F6Publishing: 6183] [Article Influence: 363.7] [Reference Citation Analysis (0)] |
93. | Jumpertz R, Le DS, Turnbaugh PJ, Trinidad C, Bogardus C, Gordon JI, Krakoff J. Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans. Am J Clin Nutr. 2011;94:58-65. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 801] [Cited by in F6Publishing: 821] [Article Influence: 63.2] [Reference Citation Analysis (0)] |
94. | Jensen BA, Nielsen TS, Fritzen AM, Holm JB, Fjære E, Serup AK, Borkowski K, Risis S, Pærregaard SI, Søgaard I. Dietary fat drives whole-body insulin resistance and promotes intestinal inflammation independent of body weight gain. Metabolism. 2016;65:1706-1719. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 20] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis (0)] |
95. | Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, Neyrinck AM, Fava F, Tuohy KM, Chabo C. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56:1761-1772. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4095] [Cited by in F6Publishing: 4353] [Article Influence: 256.1] [Reference Citation Analysis (1)] |
96. | Hallam MC, Reimer RA. Postnatal prebiotic fiber intake in offspring exposed to gestational protein restriction has sex-specific effects on insulin resistance and intestinal permeability in rats. J Nutr. 2014;144:1556-1563. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
97. | Brahe LK, Le Chatelier E, Prifti E, Pons N, Kennedy S, Blædel T, Håkansson J, Dalsgaard TK, Hansen T, Pedersen O. Dietary modulation of the gut microbiota--a randomised controlled trial in obese postmenopausal women. Br J Nutr. 2015;114:406-417. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 96] [Cited by in F6Publishing: 112] [Article Influence: 12.4] [Reference Citation Analysis (0)] |
98. | Pedersen C, Gallagher E, Horton F, Ellis RJ, Ijaz UZ, Wu H, Jaiyeola E, Diribe O, Duparc T, Cani PD. Host-microbiome interactions in human type 2 diabetes following prebiotic fibre (galacto-oligosaccharide) intake. Br J Nutr. 2016;116:1869-1877. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 70] [Cited by in F6Publishing: 75] [Article Influence: 9.4] [Reference Citation Analysis (0)] |
99. | Forslund K, Hildebrand F, Nielsen T, Falony G, Le Chatelier E, Sunagawa S, Prifti E, Vieira-Silva S, Gudmundsdottir V, Pedersen HK. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature. 2015;528:262-266. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1208] [Cited by in F6Publishing: 1431] [Article Influence: 159.0] [Reference Citation Analysis (0)] |
100. | Graessler J, Qin Y, Zhong H, Zhang J, Licinio J, Wong ML, Xu A, Chavakis T, Bornstein AB, Ehrhart-Bornstein M. Metagenomic sequencing of the human gut microbiome before and after bariatric surgery in obese patients with type 2 diabetes: correlation with inflammatory and metabolic parameters. Pharmacogenomics J. 2013;13:514-522. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 292] [Cited by in F6Publishing: 299] [Article Influence: 24.9] [Reference Citation Analysis (0)] |
101. | Furet JP, Kong LC, Tap J, Poitou C, Basdevant A, Bouillot JL, Mariat D, Corthier G, Doré J, Henegar C. Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss: links with metabolic and low-grade inflammation markers. Diabetes. 2010;59:3049-3057. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 898] [Cited by in F6Publishing: 859] [Article Influence: 61.4] [Reference Citation Analysis (0)] |