Literature DB >> 32158243

Effects of a Milk-Based Meal Replacement Program on Weight and Metabolic Characteristics in Adults with Severe Obesity.

Mohammed F Rafey1,2, Conor F Murphy1,2, Razk Abdalgwad1,2, Katriona Kilkelly1, Helena Griffin1, Niamh Beatty1, Paula M O'Shea3, Chris Collins2,4, Robert McGrath1, Mary Hynes1, Colin Davenport1,2, Martin O'Donnell2, Francis M Finucane1,2.   

Abstract

OBJECTIVE: Low energy meal replacement regimens can induce short-term weight loss in patients with severe obesity, but usually require specially formulated dietary supplements. We sought to determine the effects of a milk-based meal replacement program on anthropometric and metabolic characteristics in adults with severe obesity.
METHODS: We conducted a retrospective cohort study of patients attending our hospital-based bariatric medicine service who completed a 24-week program consisting of eight weeks of milk-based meal replacement followed by weight stabilisation and maintenance phases. Patients were seen fortnightly by the bariatric physician, nurse and dietitian. We assessed changes in anthropometric and metabolic outcomes in completers at 0, 8, 16 and 24 weeks.
RESULTS: Of 105 program completers available for follow-up, 53.3% were female. Mean age was 51.1±11.2 years. Body weight decreased from 144.0±27.6 kg at baseline to 121.1±25.0 kg at 24 weeks (P<0.001), a mean total body weight loss of 15.9±6.0%, with a reduction in body mass index from 50.6±8.0 to 42.6±7.6 kg m-2 (P<0.001). In patients with diabetes, haemoglobin A1c decreased from 66.3±13.0 to 48.3±13.5 mmol/mol (P<0.001) and diabetes medication use decreased significantly. There were significant improvements also in lipid profiles and reductions in antihypertensive medication use.
CONCLUSION: These preliminary findings suggest that completion of a 24-week milk-based meal replacement program has large effects on important outcomes in adults with severe obesity. However, attrition was high. Prospective assessment of the efficacy, safety, durability and cost-effectiveness of this intervention seems warranted.
© 2020 Rafey et al.

Entities:  

Keywords:  hypocaloric diet; lifestyle modification; milk; obesity treatment; type 2 diabetes

Year:  2020        PMID: 32158243      PMCID: PMC6986176          DOI: 10.2147/DMSO.S226327

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

With the rising prevalence of severe obesity,1 the need to develop effective treatment options for affected individuals continues to increase. Although bariatric surgery is an efficacious and cost effective intervention,2 only 10% of eligible patients choose this option.3 Other domains of bariatric care need to be developed and evaluated. Several studies have confirmed the benefits of structured lifestyle interventions in different patient subgroups, including those with non-diabetic hyperglycaemia,4 prevalent cardiovascular disease5 or established type 2 diabetes.6,7 However, meaningful, sustained reductions in weight over time are difficult to achieve with lifestyle modification alone.8 In a recent large general practice-based cohort study of severely obese adults in the UK, the annual probability of achieving 5% weight loss was one in eight for men and one in seven for women.9 Some suggest a meaningful improvement in health requires a weight loss of 10%,7 though we have found improvements in health in our bariatric patients after more modest weight loss.10 Several studies have described the use of low energy liquid diets (LELDs, ~1200 kcal/day) as components of intensive lifestyle modification programs for the treatment of obesity. Typical initial weight loss is approximately 10kg6,11 but often weight regain limits the longer term efficacy of these interventions.8,12 Side effects of low energy diets include constipation, dizziness, alopecia, nausea, headache, diarrhoea, abdominal pain and cholelithiasis.13 While participant retention in some meal replacement studies is good,6,11 attrition rates of 50% are common.8,14 Another limitation is that commercial meal replacement programs can be expensive, with some analyses suggesting they are prohibitively cost ineffective.15 Semi-skimmed milk is a potential low-cost alternative to commercially produced meal replacement supplements. Milk whey protein attenuates muscle loss16 and preserves myofibrillar protein synthesis17 in adults with obesity during very low calorie diets. Milk reduces appetite, calorie intake and body weight18 and alters post-prandial glucose and lipid metabolism19 in men with obesity. In mice, milk casein-derived peptides reduce high-fat diet-induced adipose tissue inflammation.20 A recent trial showed that drinking low fat milk made children feel fuller and eat less later in the day compared to juice or water.21 The feasibility, efficacy and safety of a semi-skimmed milk-based meal replacement program for adults with severe obesity have not previously been described. In our bariatric clinic, we introduced a milk-based LELD in 2013, providing patients with approximately 1200 kcal/day over eight weeks, with a subsequent 16-week period of food reintroduction, as outlined below. For this study, we sought to conduct a retrospective analysis of patient characteristics, key anthropometric and metabolic outcomes and attrition rates in patients attending the program, in order to inform more robust design of prospective studies or potential randomised controlled trials for future evaluations of the efficacy and safety of a semi-skimmed milk-based meal replacement program.

Methods

Study Design, Population and Setting

This was a single-center, retrospective cohort study, conducted in accordance with STROBE guidelines.22 The study population included bariatric patients who were referred to our milk-based meal replacement program. During the program patients attended the bariatric clinic every two weeks for 24 weeks (14 visits in total), met the nurse, dietitian and physician at each visit, had periodic blood tests performed and had weight, height and blood pressure measurements taken. All baseline and follow-up measures for the program were conducted in the Bariatric Medicine Clinic at the Centre for Diabetes, Endocrinology and Metabolism in Galway University Hospitals (GUH).

Inclusion and Exclusion Criteria

Male and female patients aged 18 years or older, referred to the bariatric service for assessment of severe obesity were eligible for inclusion. Our clinical practice is to define severe obesity as a body mass index (BMI) ≥40 kg m−2 (or ≥35 kg m−2 with co-morbidities such as type 2 diabetes or obstructive sleep apnea syndrome). Patients must have been willing to attend all the 14 scheduled study visits. Females of childbearing potential who were pregnant, breast-feeding or intended to become pregnant or were not using adequate contraceptive methods were not considered eligible for the program. Those with a recent myocardial infarction (within six months), untreated arrhythmia, untreated left ventricular failure, recent cholelithiasis (within the past year), hepatic or renal dysfunction, type 1 diabetes, untreated major psychiatric disorders, eating disorders, cancer, previous bariatric surgery, a BMI <35 kg m−2 or those deemed unlikely to attend for the full program (e.g. frequent clinic non-attendance) were excluded from the program.

Ethics Approval

The study was approved by the Galway University Hospitals’ Central Research Ethics Committee in December 2017 (ref CA 1900). As the program was part of standard clinical care for patients attending our service between 2013 and 2016 and was not a prospective research study, we did not prospectively obtain written informed consent from patients to use their data for research purposes. Considering recent changes in European legislation regarding the use of personal data (the General Data Protection Regulation (GDPR)), we have only used data in this study from the subgroup of patients who agreed to this retrospectively and provided written informed consent.

Measurements

Weight was measured on a Tanita® scale and height with a Seca® wall-mounted stadiometer, according to departmental standard operating procedures. Blood pressure was measured with an automated oscillometric device (Omron®) using a large cuff on the right arm, after participants had been seated quietly for five minutes. Three measures were recorded at one-minute intervals. A 12-lead electrocardiogram was performed to exclude occult ischemic heart disease or cardiac arrhythmia. Bloods were drawn after an overnight fast for glucose, renal and lipid profiles. All blood samples were processed locally in the Galway University Hospitals’ Department of Clinical Biochemistry (certified to ISO 15189 2007 accreditation standard). Glycated haemoglobin (HbA1c) was measured with HPLC (Menarini® HA8160 auto-analyzer). Total cholesterol was measured using the CHOP-PAP method. High density lipoprotein (HDL)-cholesterol and triglycerides were measured using the enzymatic and the GPO-PAP methods, respectively (COBAS® 8000 modular analyzer). Low-density lipoprotein (LDL)-Cholesterol was derived with the Friedewald equation. Information relating to antihypertensive, lipid lowering, and antidiabetic medication use at baseline and at the end of 24 weeks was extracted from the medical records of each participant.

Intervention

The milk-based LELD consisted of three continuous eight-week phases, each with fortnightly visits to the bariatric medicine clinic. During the first (weight loss) phase from weeks one to eight inclusive, an exclusively milk-based liquid diet was prescribed, consisting of approximately 2.5 liters per day of semi skimmed milk (depending on calculated protein requirements23,24) divided in seven portions throughout the day in equal doses, with additional sodium replacement, vitamin, mineral and fiber supplementation, equating to approximately 1200 kcal/day. The dietary composition of 100 mL of semi-skimmed milk included protein (3.5 g), carbohydrate (5 g, of which sugars 5 g) and fat (1.5 g). (An example of the dietary composition of the milk diet for a typical patient is provided in ) Throughout this phase, renal and liver profiles were assessed every two weeks and the patient was seen by the consultant endocrinologist, bariatric nurse and dietitian at each visit. During the second phase (weight stabilization) from weeks nine to sixteen inclusive, there was a gradual re-introduction of low-calorie meals from a set menu over eight weeks, according to protocol under the supervision of the bariatric dietitian with fortnightly visits continuing. During the third phase (weight maintenance) from weeks 17 to 24 inclusive, the liquid component of the diet was stopped completely and a fully solid isocaloric diet was restarted, based on individualized meal plans, under the supervision of the bariatric dietitian.

Outcome Measures

The primary outcome measure was body weight. Within the cohort, there were distinct subgroups of patients for whom specific outcomes were more relevant, such as those with type 2 diabetes. There were several secondary outcome variables, including BMI, percentage excess body weight, blood pressure, HbA1c, and lipid profiles. We set the threshold for an elevated HbA1c (“high HbA1c”) as “yes” if HbA1c ≥ 48 mmol/mol. We derived an a priori categorical variable for prevalent “dyslipidaemia” as “yes” if LDL-Cholesterol was ≥1.8 mmol/l in patients with diabetes, or ≥3.0 mmol/l in patients without diabetes at baseline, based on European Society of Cardiology guidelines.25 Then we defined the presence of poor blood pressure control (“hypertensive”) as “yes” if the systolic blood pressure (SBP) was ≥150 mmHg (in patients ≥60 years) or ≥140 mmHg (in patients <60 years) or if the diastolic blood pressure (DBP) was ≥ 90 mmHg (regardless of age).26 Of note, we were unable to classify patients as having hypertension or not as we did not prospectively record this in the medical notes in a consistent fashion, though we did record whether specific blood pressure medications were used at baseline and follow-up. We repeated the categorisation of all the above variables at each time point over 8, 16 and 24 weeks. Lastly, we derived a categorical variable “achieved 10% weight loss” as “yes” or “no” depending on whether the total percentage body weight loss was above this threshold at 8, 16 and 24 weeks.

Statistical Methods

Summary statistics (mean, standard deviation, range (or for categorical variables, the number, n and proportion, %)) for age, sex, height, diabetes status, weight, BMI, severe BMI status, percentage excess body weight (%EBW, defined relative to a BMI of 25 kgm−2), SBP, DBP, high HbA1c status, hypertensive status, dyslipidemia status, achieved 10% weight loss, total-, LDL-, HDL-cholesterol and triglyceride and HbA1c were obtained for times 0, 8, 16 and 24 weeks. We derived a surrogate measure of insulin resistance from the triglyceride: HDL-cholesterol ratio (THDLR).27,28 In order to convert our mmol/l values to the equivalent United States values (mg/dl), we applied a conversion factor of 38.67 for HDL-cholesterol and 88.57 for triglycerides. Information on reasons for withdrawal from the intervention was not routinely recorded. Continuous explanatory variables were compared using the two-sample t-test or Mann Whitney Test as appropriate, while categorical explanatory variables were compared using the Chi-Square test. For completers, repeated measures ANOVA was used to determine whether there were statistically significant changes over time in outcome measures. All analyses were performed using SPSS version 24.

Results

Between January 2013 and Oct 2018, 260 patients were enrolled into the milk-based meal replacement program at the Bariatric Medicine clinic in Galway University Hospitals. Of these, 139 (53.5%) completed all 24 weeks of the intervention, with 121 (46.5%) discontinuing the intervention. From 139 completers, 105 (75.5%) agreed to participate in this study and provided written informed consent. Given that 1867 new patients were seen in our bariatric service over the six-year study period, 13.9% of newly referred bariatric patients ultimately participated in our milk program. The baseline characteristics of the 105 patients who completed the intervention and consented to study participation are described in Table 1. Of these, 56 (53.3%) were female and mean age was 51.1±11.2 (range 18–71.6) years. Obesity-related comorbidities were prevalent, with 35.2% of patients diagnosed with diabetes, 61.9% treated for hypertension and 40.9% on lipid lowering therapy. Changes in anthropometric and metabolic characteristics in intervention completers at 8, 16 and 24 weeks are shown in Table 1. There was a 22.9±9.5 kg reduction in weight as anticipated (Figure 1), with a reduction in BMI of 8.0±3.2 kg m−2 (P<0.001). The proportion of patients losing 10% or more of their body weight at weeks 8, 16 and 24 was 59%, 87.6% and 86.7%, respectively (P=0.002), the proportion loosing 15% or more was 11.4%, 43.8%, 48.6% respectively (P=0.002).
Table 1

Changes in Anthropometric and Metabolic Variables Over Time in 105 Patients Completing the Milk Programme

Week 0Week 8Week 16Week 24P-value
Anthropometric characteristics
 Weight (Kg)144 (27.6)128.3 (25.2)122.5 (24.4)121.1 (25.0)<0.001
 BMI (kg/m2)50.6 (8.0)45.1 (7.5)43.1 (7.4)42.6 (7.6)<0.001
 EBW (%)102.5 (32.0)80.4 (30.1)72.4 (29.6)70.4 (30.4)<0.001
 Severe Obesity n (%)102 (97.1)90 (85.7)75 (71.4)68 (64.8)0.017
Metabolic characteristics
 Systolic BP (mmHg)127.5 (13.4)123.3 (13.8)124.2 (14.3)122.9 (14.6)0.073
 Diastolic BP (mmHg)70.0 (10.7)69.4 (11.6)68.9 (11.5)70.7 (11.2)0.348
 Hba1c (mmol/mol)*38.8 (3.7)36.0 (3.9)35.1 (3.2)35.0 (3.4)<0.001
 Hba1c (mmol/mol)**66.3 (13.0)53.3 (14.0)48.3 (13.7)48.4 (13.5)<0.001
 ALT (i.u./L)35.2 (25.4)36.7 (20.7)27.5 (12.1)24.8 (13.2)<0.001
 Total Cholesterol (mmol/l)4.6 (0.9)3.9 (0.9)4.2 (1.0)4.4 (1.1)<0.001
 LDL-Cholesterol (mmol/l)2.7 (0.8)2.2 (0.8)2.6 (0.9)2.6 (0.9)<0.001
 HDL-Cholesterol (mmol/l)1.2 (0.3)1.1 (0.3)1.1 (0.3)1.2 (0.3)<0.001
 Triglycerides (mmol/l)1.8 (0.7)1.4 (0.5)1.3 (0.5)1.3 (0.5)<0.001
 Triglyceride:HDL ratio3.7 (2.2)3.0 (1.3)2.8 (1.4)2.6 (1.3)<0.001

Notes: *patients with no history of type 2 diabetes. **patients with history of type 2 diabetes.

Figure 1

(A, B) Changes in total body weight over 24 weeks in the whole cohort, and in patients with and without diabetes, separately.

Changes in Anthropometric and Metabolic Variables Over Time in 105 Patients Completing the Milk Programme Notes: *patients with no history of type 2 diabetes. **patients with history of type 2 diabetes. (A, B) Changes in total body weight over 24 weeks in the whole cohort, and in patients with and without diabetes, separately. There were no statistically significant changes in the systolic or diastolic blood pressure over time but the number of completers taking antihypertensive therapy fell from 68 (64.7%) at baseline to 37 (35.2%) at 24 weeks, a reduction of 29.5% (P<0.001). Specifically, of 25 (28.5%) taking angiotensin receptor blockers at baseline, 15 (14.2%) remained on these at follow-up, a reduction of 40% (P<0.001). Of 30 (26.4%) taking angiotensin converting enzyme inhibitors at baseline, 21 (20%) remained on these at follow-up, a reduction of 30.0% (P<0.001). Of 24 (22.9%) taking calcium channel blockers at baseline, 6 (5.7%) remained on these at follow-up, a reduction of 75% (P<0.001). Of 31 (29.5%) taking beta-blockers at baseline, 28 (26.7%) remained on these at follow-up, a reduction of 9.7% (P<0.001). Of 31 (29.5%) taking diuretics at baseline, 16 (15.2%) remained on these at follow-up, a reduction of 48.4% (P<0.001). Of 6 (5.7%) taking alpha-blockers at baseline, 2 (1.9%) remained on these at follow-up, a reduction of 66.7% (P<0.001). There were statistically and clinically significant improvements in all components of the lipid profile, though unexpectedly these were most pronounced at 8 weeks and were somewhat attenuated by 24 weeks as shown in Table 1, despite the progressive weight loss observed during that time. Moreover, there was a reduction in the proportion of patients with elevated LDL cholesterol from 46.7% to 43.8% between baseline and follow up (P<0.001). We were careful to avoid either the introduction or cessation of any lipid lowering therapy during the duration of the intervention. Of 39 (37.1%) completers who were taking statin therapy at baseline, all but one continued this throughout the intervention, with four patients also taking ezetimibe at baseline and follow-up. The reduction in the triglyceride: HDL cholesterol ratio was consistent with an increase in insulin sensitivity with the intervention. We noted a significant reduction in HbA1c over time in the 37 patients with diabetes, equivalent to a 16.3±13.6 mmol/mol reduction by 24 weeks, with an effective normalisation to the diagnostic threshold for diabetes of 48 mmol/mol (P<0.001). There was also a significant reduction in HbA1c in patients without prevalent diabetes. Of 10 patients requiring insulin at baseline, five (50%) had stopped it by 24 weeks (P<0.001). Of 15 patients taking sulphonylureas, 13 (86.7%) stopped these (P<0.001) while 14 (77.8%) of 18 patients taking GLP-1 receptor agonists had stopped these by 24 weeks (P<0.001). Similarly, seven of nine (77.8%) patients stopped dipeptidyl peptidase inhibitors (P<0.001), while one patient taking pioglitazone discontinued this at the start of the intervention. Three of six patients taking sodium glucose co-transporter 2 (SGLT2) inhibitor drugs remained on these throughout the intervention (P<0.001), while 35 of 38 patients remained on metformin throughout (P<0.001). The number of patients on two or more antidiabetic medications came down from 32 to 9, a reduction of 71.9% (P<0.001). In the five patients who remained on insulin, their dose came down from 123.1±21.6 to 28.7±13.4 units per day (P<0.001), a reduction of 76.7%. Patients with diabetes who completed the program were slightly older and with a lesser degree of obesity than completers without diabetes. We observed a worse lipid profile in patients without diabetes, which we think may be due to a higher prevalence of statin use in patients with diabetes versus those patients without diabetes (64.9 vs 22.1%, P<0.001). Notwithstanding the differences in adiposity at baseline, there was no difference in the anthropometric response to the intervention in completers with versus those without diabetes, as shown in Figures 1–4.
Figure 4

Changes in HbA1c over 24 weeks in patients with and without diabetes, separately.

(A, B) Changes in body mass index over 24 weeks in the whole cohort, and in patients with and without diabetes, separately. (A, B) Changes in percentage excess body weight over 24 weeks in the whole cohort, and in patients with and without diabetes, separately. Changes in HbA1c over 24 weeks in patients with and without diabetes, separately.

Discussion

These preliminary findings from a retrospective cohort of adults with severe obesity suggest that in the subgroup of patients who completed our 24-week, milk-based meal replacement program, there were significant reductions in excess weight and improvements in associated metabolic characteristics. These changes were much larger than those observed with a more conventional lifestyle modification program we run in a similar patient population, where mean weight loss in completers of a ten-week structured diet and physical activity program was 2.7kg.10 Notwithstanding the relatively high drop-out rate, the fact that 54% of patients were able to tolerate the intensive schedule of clinic visits and the very significant curtailment of dietary intake, particularly in the first eight weeks, is surprising to many. The mechanisms underlying a likely reduction in appetite are unclear. Ketosis has been shown to attenuate the increases in ghrelin and appetite that occur with dietary restriction29 and in recent years there has been a growing interest in the role of therapeutic ketosis in weight loss interventions.30 However, we do not routinely measure ketones as part of the milk intervention, so their contribution to our findings is uncertain. Moreover, given that patients were not carbohydrate restricted per se, the levels of ketosis may have been physiologically insignificant. These could and should be measured in future clinical trials of the intervention. It may be that the unique constituents of milk might account for some of the benefits seen in our intervention, though an aetiological trial with an equivalent non-milk-based meal replacement substrate would need to be done to clarify this issue. Future, prospective studies will also need to address the cost-effectiveness of the intervention. While out of pocket costs for patients over six months for the milk and the fibre, salt, fish oil and micronutrient supplements are relatively modest (our approximate estimate is €446 per patient) 14 outpatient clinic visits over half a day with nurse, consultant, dietitian, registrar and secretarial time as well as overheads cost the Irish health service approximately €1088. Whether this represents good value for money, particularly with high attrition rates, remains to be determined. We are likely to have underestimated the proportion of patients with dyslipidaemia by focussing only on LDL-cholesterol to define this arbitrarily rather than applying cut-offs to total cholesterol and triglycerides also. However, we believe that the large reductions in these individual components of the lipid profile are convincing and compelling, particularly given that statin therapy was neither initiated nor stopped during the intervention. The influence of changes in physical activity energy expenditure on overall energy balance in the context of a significant reduction in energy intake is an important consideration in this study. It may be that physical activity energy expenditure (relative to body weight) might actually have increased in these patients, particularly if mobility improved. Future studies should address this important confounding variable. Similarly, as we have no data on body composition, it is not possible to determine the extent to which changes occurred specifically in lean and fat tissue mass and prospective studies should address this limitation. Arguably our most important limitation is the lack of follow-up data for the patients who started the intervention but dropped out. It must be emphasised, therefore that this work is not a description of the effectiveness or efficacy of the milk-program but serves as a useful estimate of the effect size of the intervention as well as the attrition rate, to inform the development of future randomised controlled trials. While we think it is unlikely, it is possible that some of those who dropped out may have had significant weight regain or serious adverse events that precluded continued participation, which we would not be aware of, which is why we have avoided any attempt to compare data in completers and non-completers using last- or mean- observation carried forward analyses, for example. Nor can we comment on the safety of the intervention, as this would require prospective collection of information as well as ongoing follow-up in patients who dropped out of the intervention. While participant retention in some studies is good,11,31 attrition rates similar to ours here are not uncommon.8,14,32 Thus, our per-protocol analyses of outcome changes in intervention completers is likely to have introduced some bias, residual confounding and possibly type 1 statistical error. However, even randomised controlled trials of meal replacement programs have had methodological limitations. In one systematic review of 45 trials of non-surgical long-term weight loss maintenance interventions in adults with obesity, only 10 had robust allocation concealment, 17 described some form of blinding and 25 were deemed to handle incomplete data well.33 Other reviews have confirmed that poor allocation concealment and blinding are particularly prevalent in trials of LELDs.34 Hence, there is scope for enhanced rigour in similar future trials in order to reduce the potential for bias, residual confounding and type 1 errors. Clearly, it would be desirable to have information about safety outcomes and patients who drop out of the intervention in these trials, consistent with STROBE guidelines.22 Finally, the durability of weight loss and weight maintenance after the intervention is completed needs to be assessed in prospective follow-up studies. Weight regain is a universal challenge with almost all dietary interventions.8 Whether the degree of weight loss with the milk diet predicts the response to subsequent bariatric interventions such as surgery or drug therapy remains to be determined.

Conclusions

Notwithstanding the limitations in this study, we believe that our findings are novel and important particularly in the context of planning more robust prospective observational and randomised controlled trial assessment of the milk diet intervention. Such studies will need to extend the follow-up period well beyond the completion of the intervention, as weight regain is a well-established problem in the longer term.8,12 Ultimately this might help to broaden and refine the range of therapeutic options for adults affected by obesity.
  33 in total

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Authors:  Tracey McLaughlin; Gerald Reaven; Fahim Abbasi; Cindy Lamendola; Mohammed Saad; David Waters; Joel Simon; Ronald M Krauss
Journal:  Am J Cardiol       Date:  2005-08-01       Impact factor: 2.778

2.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  BMJ       Date:  2007-10-20

3.  A high whey protein-, leucine-, and vitamin D-enriched supplement preserves muscle mass during intentional weight loss in obese older adults: a double-blind randomized controlled trial.

Authors:  Amely M Verreijen; Sjors Verlaan; Mariëlle F Engberink; Sophie Swinkels; Johan de Vogel-van den Bosch; Peter J M Weijs
Journal:  Am J Clin Nutr       Date:  2014-11-26       Impact factor: 7.045

4.  2016 ESC/EAS Guidelines for the Management of Dyslipidaemias.

Authors:  Alberico L Catapano; Ian Graham; Guy De Backer; Olov Wiklund; M John Chapman; Heinz Drexel; Arno W Hoes; Catriona S Jennings; Ulf Landmesser; Terje R Pedersen; Željko Reiner; Gabriele Riccardi; Marja-Riita Taskinen; Lale Tokgozoglu; W M Monique Verschuren; Charalambos Vlachopoulos; David A Wood; Jose Luis Zamorano; Marie-Therese Cooney
Journal:  Eur Heart J       Date:  2016-08-27       Impact factor: 29.983

5.  Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial.

Authors:  Michael Ej Lean; Wilma S Leslie; Alison C Barnes; Naomi Brosnahan; George Thom; Louise McCombie; Carl Peters; Sviatlana Zhyzhneuskaya; Ahmad Al-Mrabeh; Kieren G Hollingsworth; Angela M Rodrigues; Lucia Rehackova; Ashley J Adamson; Falko F Sniehotta; John C Mathers; Hazel M Ross; Yvonne McIlvenna; Renae Stefanetti; Michael Trenell; Paul Welsh; Sharon Kean; Ian Ford; Alex McConnachie; Naveed Sattar; Roy Taylor
Journal:  Lancet       Date:  2017-12-05       Impact factor: 79.321

6.  The effect of a hypocaloric diet with and without exercise training on body composition, cardiometabolic risk profile, and reproductive function in overweight and obese women with polycystic ovary syndrome.

Authors:  Rebecca L Thomson; Jonathan D Buckley; Manny Noakes; Peter M Clifton; Robert J Norman; Grant D Brinkworth
Journal:  J Clin Endocrinol Metab       Date:  2008-06-26       Impact factor: 5.958

7.  Ketosis and appetite-mediating nutrients and hormones after weight loss.

Authors:  P Sumithran; L A Prendergast; E Delbridge; K Purcell; A Shulkes; A Kriketos; J Proietto
Journal:  Eur J Clin Nutr       Date:  2013-05-01       Impact factor: 4.016

8.  Whey protein supplementation preserves postprandial myofibrillar protein synthesis during short-term energy restriction in overweight and obese adults.

Authors:  Amy J Hector; George R Marcotte; Tyler A Churchward-Venne; Caoileann H Murphy; Leigh Breen; Mark von Allmen; Steven K Baker; Stuart M Phillips
Journal:  J Nutr       Date:  2014-12-17       Impact factor: 4.798

Review 9.  Long term maintenance of weight loss with non-surgical interventions in obese adults: systematic review and meta-analyses of randomised controlled trials.

Authors:  S U Dombrowski; K Knittle; A Avenell; V Araújo-Soares; F F Sniehotta
Journal:  BMJ       Date:  2014-05-14

10.  Author Correction: Effectiveness and Safety of a Novel Care Model for the Management of Type 2 Diabetes at 1 Year: An Open-Label, Non-Randomized, Controlled Study.

Authors:  Sarah J Hallberg; Amy L McKenzie; Paul T Williams; Nasir H Bhanpuri; Anne L Peters; Wayne W Campbell; Tamara L Hazbun; Brittanie M Volk; James P McCarter; Stephen D Phinney; Jeff S Volek
Journal:  Diabetes Ther       Date:  2018-04       Impact factor: 2.945

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