Md6 Fat Burner

Md6 Fat Burner

Figure 1.  Trial Flow Diagram

The moderate intervention involved a food-based diet with a 25% to 35% energy restriction for a total of 12 months (52 weeks). The severe intervention involved total diet replacement with 65% to 75% energy restriction for 4 months (16 weeks) or until a body mass index (calculated as weight in kilograms divided by height in meters squared) of no lower than 20 was reached, whichever came first, followed by moderate energy restriction until 12 months (52 weeks).

Figure 2.  Weight Changes in Postmenopausal Women With Obesity During the Type of Energy Manipulation for Promoting Optimum Metabolic Health and Body Composition in Obesity (TEMPO) Diet Trial

A, Weight data presented as estimated marginal means, ie, group means after controlling for covariates. B, Weight change at 12 months as percentage change from baseline for each participant in the severe and moderate groups. The dotted line indicates 10% weight loss. For both panels, the severe intervention included 50 participants and the moderate intervention, 51.

^a P < .001 vs baseline value within group.

^b P < .05 vs the moderate group at that point.

Figure 3.  Effect of Severe vs Moderate Energy Restriction on Body Composition in Postmenopausal Women With Obesity

Data are presented as estimated marginal means (ie, group means after controlling for covariates). Baseline values were the covariates in the statistical analysis model. Whiskers indicate SEs of the means. BMD indicates bone mineral density.

^a P < .05 vs baseline value within group.

^b P < .05 vs the moderate group at that point.

Table 1.  Baseline Characteristics for All Participants, Completers and Noncompleters, in the TEMPO Diet Trial

Table 2.  Changes From Baseline for Body Composition With the Severe and Moderate Energy Restriction Interventions of the TEMPO Diet Trial

Original Investigation

Nutrition, Obesity, and Exercise

October 30, 2019

Effect of Weight Loss via Severe vs Moderate Energy Restriction on Lean Mass and Body Composition Among Postmenopausal Women With Obesity : The TEMPO Diet Randomized Clinical Trial

JAMA Netw Open. 2019;2(10):e1913733. doi:10.1001/jamanetworkopen.2019.13733

Key Points español 中文 (chinese)

Question What are the long-term effects of severe vs moderate energy restriction on lean mass and other aspects of body composition?

Findings This randomized clinical trial included 101 postmenopausal women with obesity. At 12 months, participants who had undergone severe energy restriction experienced approximately 2-fold greater weight and fat loss, approximately 1.5 times as much loss of whole-body lean mass (proportional to total weight lost), and approximately 2.5 times as much loss of total hip bone mineral density compared with participants who had undergone moderate energy restriction.

Meaning Although severe energy restriction is an effective obesity treatment, caution is necessary when implementing it in postmenopausal women, especially those with osteopenia or osteoporosis.

Importance Severely energy-restricted diets are the most effective dietary obesity treatment. However, there are concerns regarding potential adverse effects on body composition.

Objective To compare the long-term effects of weight loss via severe vs moderate energy restriction on lean mass and other aspects of body composition.

Design, Setting, and Participants The Type of Energy Manipulation for Promoting Optimum Metabolic Health and Body Composition in Obesity (TEMPO) Diet Trial was a 12-month, single-center, randomized clinical trial. A total of 101 postmenopausal women, aged 45 to 65 years with body mass index (calculated as weight in kilograms divided by height in meters squared) from 30 to 40, who were at least 5 years after menopause, had fewer than 3 hours of structured physical activity per week, and lived in the Sydney metropolitan area of New South Wales, Australia, were recruited between March 2013 and July 2016. Data analysis was conducted between October 2018 and August 2019.

Intervention Participants were randomized to either 12 months of moderate (25%-35%) energy restriction with a food-based diet (moderate intervention) or 4 months of severe (65%-75%) energy restriction with a total meal replacement diet followed by moderate energy restriction for an additional 8 months (severe intervention). Both interventions had a prescribed protein intake of 1.0 g/kg of actual body weight per day, and physical activity was encouraged but not supervised.

Main Outcomes and Measures The primary outcome was whole-body lean mass at 12 months after commencement of intervention. Secondary outcomes were body weight, thigh muscle area and muscle function (strength), bone mineral density, and fat mass and distribution, measured at 0, 4, 6, and 12 months.

Results A total of 101 postmenopausal women were recruited (mean [SD] age, 58.0 [4.2] years; mean [SD] weight, 90.8 [9.1] kg; mean [SD] body mass index, 34.4 [2.5]). Compared with the moderate group at 12 months, the severe group lost more weight (effect size, −6.6 kg; 95% CI, −8.2 to −5.1 kg), lost more whole-body lean mass (effect size, −1.2 kg; 95% CI, −2.0 to −0.4 kg), and lost more thigh muscle area (effect size, −4.2 cm²; 95% CI, −6.5 to −1.9 cm²). However, decreases in whole-body lean mass and thigh muscle area were proportional to total weight loss, and there was no difference in muscle (handgrip) strength between groups. Total hip bone mineral density (effect size, −0.017 g/cm²; 95% CI, −0.029 to −0.005 g/cm²), whole-body fat mass (effect size, −5.5 kg; 95% CI, −7.1 to −3.9 kg), abdominal subcutaneous adipose tissue (effect size, −1890 cm³; 95% CI, −2560 to −1219 cm³), and visceral adipose tissue (effect size, −1389 cm³; 95% CI, −1748 to −1030 cm³) loss were also greater for the severe group than for the moderate group at 12 months.

Conclusions and Relevance Severe energy restriction had no greater adverse effect on relative whole-body lean mass or handgrip strength compared with moderate energy restriction and was associated with 2-fold greater weight and fat loss over 12 months. However, there was significantly greater loss of total hip bone mineral density with severe vs moderate energy restriction. Therefore, caution is necessary when implementing severe energy restriction in postmenopausal women, particularly those with osteopenia or osteoporosis.

Trial Registration anzctr.org.au Identifier: 12612000651886

Effective obesity treatments are needed to reduce obesity-related morbidities and costs.^{1 ,2} The most effective dietary obesity treatments are severely energy-restricted diets^{3 ,4} of less than 800 kcal/d (<3350 kJ/d),⁵ which often involve replacing all or almost all foods with nutritionally replete meal replacement products, such as shakes, soups, or bars (ie, total diet replacement). Severely energy-restricted diets result in significantly greater short- and long-term^{3 ,4,6 -8} weight loss compared with food-based diets that involve moderately restricting dietary energy intake by approximately 500 kcal/d (2100 kJ/d). In addition, total meal replacement diets are cheaper than the average per capita food expenditure in Australia and cost 3 times less to administer than food-based diets in terms of dietetics support.⁹

Despite being an effective and affordable dietary obesity treatment, a number of prominent clinical obesity treatment guidelines from around the world show limited support for the use of total meal replacement diets,^{10 ,11} and these diets are not routinely used by health care professionals.^{9 ,12} This may be because of reported adverse effects (eg, hair loss, constipation, headaches, dizziness, fatigue, and cholelithiasis),⁶ the lack of training and resources available for pretreatment evaluation and monitoring during these diets, and possibly also concerns that severe energy restriction may adversely affect body composition (ie, lean mass and bone mineral density [BMD]) compared with moderate energy restriction. For example, some studies have reported that larger energy deficits induce greater loss of fat-free mass in adults with overweight or obesity.^{13 -16} In contrast, other studies have shown no difference in lean body mass following severe or moderate energy restriction in participants with obesity.^{17 ,18} As another example, some studies in women with overweight or obesity suggested that weight loss of more than 14% of initial weight during 3 to 4 months resulted in significant bone loss,^{19 ,20} whereas moderate weight loss of approximately 5% to 7% of initial body weight over 6 months resulted in little²¹ or no²² bone loss. In contrast, the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) trial showed that men and women with overweight on a severely energy-restricted diet (albeit less restricted than the previously described studies) showed no greater loss of whole-body or hip BMD than individuals on a moderately energy-restricted diet.²³ However, the studies cited here were not randomized clinical trials, were pilot studies, were of limited duration (ie, 6 days to 6 months), or were not specifically designed to assess muscle and bone health.

Although randomized clinical trials have evaluated the effects of severe vs moderate energy restriction on long-term weight maintenance in adults with overweight and obesity,^{24 ,25} in our review of the literature, no study directly compared the long-term effects of severe vs moderate energy restriction (to achieve fast vs slow weight loss, respectively) on lean mass and other aspects of body composition in people with obesity. We aimed to address this in the Type of Energy Manipulation for Promoting Optimum Metabolic Health and Body Composition in Obesity (TEMPO) Diet Trial.

Study Design and Participants

The TEMPO Diet Trial was a single-center, randomized clinical trial. Ethical approval was obtained from the Sydney Local Health District, Royal Prince Alfred Hospital Human Research Ethics Committee. It was conducted at the Charles Perkins Centre Royal Prince Alfred Clinic on the University of Sydney campus in Camperdown, New South Wales, Australia, with magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) scans performed at I-Med Radiology (Camperdown). Reporting in this article is aligned with the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline, and the full trial protocol can be found in Supplement 1.

Key inclusion criteria were postmenopausal women aged 45 to 65 years with body mass index (calculated as weight in kilograms divided by height in meters squared) from 30 to 40, at least 5 years after menopause, with less than 3 hours of structured physical activity per week (ie, sedentary), and living in the Sydney metropolitan area of New South Wales, Australia. We included women with this menopausal status for 2 reasons: first, to circumvent known effects of female hormone cycles and the menopausal transition on parameters under investigation in the trial and, second, because women older than 50 years have a 4-fold higher rate of osteoporosis and a 2-fold higher rate of osteopenia than men.²⁶ Participants with osteoporosis or diabetes and those taking medication affecting body composition were excluded. The full inclusion and exclusion criteria and our rationale for these have been detailed in our published protocol.²⁷ The trial was conducted in accordance with the Declaration of Helsinki²⁸ and Good Clinical Practice guidelines.²⁹ All participants provided written informed consent prior to participation.

Participants were randomized (and enrolled) to either the severe or moderate intervention (Figure 1) using stratified permuted block randomization.³⁰ Specifically, they were stratified by age (ie, 45 to <55 years and 55-65 years) and body mass index (ie, 30 to <35 and 35-40). Individuals in each of the 4 stratified groups were then randomized in blocks of 2 and with a 1:1 ratio into 1 of 2 interventions.^{27 ,31} To avoid bias, randomization was undertaken by 1 of us (A.S.) who had no contact with participants before randomization and was not involved in implementing the interventions. None of us who undertook screening or clinical testing (R.V.S., S.M., C.H., A.A.G, and H.A.F.) were aware of the method used for randomization, and we were not able to predict which intervention a particular participant would be randomized to.

The moderate intervention involved a moderate energy restriction of 25% to 35% relative to estimated energy expenditure for a total of 12 months (52 weeks). This was achieved using a food-based diet, with recommendations based on the Australian Guide to Healthy Eating.³² The guide provides recommendations on the average number of standard servings of the 5 core food groups (ie, vegetables, fruits, grains and cereals, meat and meat alternatives, and reduced fat dairy) that an individual should consume to meet nutritional requirements based on age and sex. To simplify adherence to the moderate intervention, we defined 6 food groups. The meat and meat alternative and reduced fat dairy food groups were collapsed into a proteins group, and starchy vegetables were incorporated into the grains and cereals group to form a carbohydrates group, while participants also had groups for vegetables, fruits, fats, and discretionary foods. The severe intervention involved a severe energy restriction of 65% to 75% relative to estimated energy expenditure for 4 months (16 weeks) or until a body mass index of no lower than 20 was reached, whichever came first. This was achieved using a total meal replacement diet (KicStart meal replacement shakes and soups from Prima Health Solutions) supplemented with a whey protein isolate (Beneprotein; Nestlé HealthCare Nutrition) to achieve the prescribed protein target (described later). This was followed by moderate energy restriction (ie, the moderate intervention) for the remaining period to 12 months (52 weeks). Both diets were individualized for each participant and were nutritionally sound. That is, the diet used in the moderate intervention was designed to meet nutrient requirements with minimum energy intake,³¹ while the severe intervention used a commercial total meal replacement product and supplemental protein that rendered it close to the recommended nutrient requirements.³³ For both interventions, a protein intake of 1.0 g/kg of actual body weight per day was prescribed. Participants were encouraged to gradually increase step counts to a total of 8000 to 12 000 steps/d, including 30 to 60 min/d of moderate to vigorous physical activity.³⁴ Although physical activity was encouraged, it was not supervised. Since the use of food diaries to measure adherence to the prescribed diet is difficult to assess because of missing dietary records and underreporting among participants with overweight and obesity,³⁵ weight loss was used to monitor adherence to the diets.³⁶ We expected approximately 1.5 to 2.5 kg/wk weight loss for participants in the severe intervention⁶ and approximately 0.5 to 1.0 kg/wk weight loss for participants in the moderate intervention.³⁷ To increase adherence to the diet, participants attended individual dietary appointments with the trial dietitian approximately every 2 weeks for the first 26 weeks of the intervention (ie, at 1, 2, 4, 6, 8, 10, 12, 15, 16, 18, 20, 25, and 26 weeks relative to commencement of the dietary interventions, plus an extra appointment at 17 weeks for participants in the severe intervention during their transition to the moderate intervention) and then approximately every month until 52 weeks (ie, at 29, 33, 37, 41, 45, 51, and 52 weeks). The development process and rationale behind the dietary interventions for the TEMPO Diet Trial as well as full details of the dietary interventions have been published previously.³¹

This article reports the primary outcome for the TEMPO Diet Trial (lean mass at 12 months after commencement of the intervention) as well as the other outcomes related to body composition, all of which are secondary outcomes. The body composition outcomes reported in this article are listed in Table 1, and the full list of outcomes for this trial are published in our trial protocol.²⁷ All body composition outcomes were measured before the start of the intervention (0 months) and at 4, 6, and 12 months (with weight and waist and hip circumference additionally measured at 0.25 and 1 month) after commencing the interventions. Height was measured only at 0 months. All data were collected with participants lightly clothed (ie, in a close-fitting sports bra and leggings or, for MRI and MRS scans, in a gown and underpants only), without shoes, and with all metal jewelry, accessories, and electronic devices removed.

Dual-energy x-ray absorptiometry (DXA), using a Discovery W bone densitometer (Hologic), was used to assess whole-body lean mass, whole-body fat mass, and BMD of the total left hip and anterior posterior lumbar spine (L1-L4).³⁸ A hydraulic hand dynamometer (Jamar, Model 5030J1; Patterson Medical) was used to assess handgrip strength of the dominant and nondominant hands. For 2 participants who were ambidextrous, the right and left hand were designated the dominant and nondominant hand, respectively. Waist and hip circumferences were measured to the nearest 0.1 cm using a narrow, flexible, and inelastic steel tape (Lufkin W606PM; Apex Tool Group). Waist circumference was measured at the midaxillary line (ie, at the halfway point between the bony landmarks of the lowest rib and the top of the iliac crest), while the hip circumference measurement was taken at the point of greatest protuberance of the participant's buttocks when viewed from the side. The ratio of waist to hip circumference was calculated by dividing waist circumference by hip circumference. A 3-T MRI scanner (Discovery MR750; GE Healthcare) was used to assess abdominal fat volume (subcutaneous and visceral adipose tissue from the diaphragm to the pelvis, with a slice thickness of 10 mm and an interslice gap of 10 mm) as well as thigh muscle area and thigh fat area (subcutaneous, subfascial, and intermuscular, with the median slice between the base of the femoral head and midpatella selected for analysis unless there were an even number of slices between these points, in which case the inferior of the 2 middle slices was selected). Intrahepatic lipid was measured by volume localized proton MRS (¹H-MRS) and calculated as methylene peak area + methyl peak area × 100 / water peak area, corrected for T₂ effects. Accelerometers (SenseWear Pro Armband; BodyMedia Inc) were used to assess physical activity.³⁹ Physical activity data will not be presented in this article; however, it was used as a covariate in our analysis. Physical activity data were only included as a covariate in the analysis if participants wore the accelerometer for a minimum of 5 of 7 designated days for at least 85% of each 24-hour day. Mean physical activity across the days the accelerometer was worn was then reported as metabolic equivalents of task (equal to total energy expenditure divided by resting energy expenditure; calculated by SenseWear Professional Software version 7.0 [BodyMedia Inc]).

For our primary outcome of whole-body lean mass at 12 months after intervention commencement, we calculated that a target sample size of 100 participants would provide a power of 90% at a 2-sided α level of 5%, allowing for up to 20% attrition as seen in previously published weight loss interventions.^{40 -42} Notably, attrition at 12 months in our trial was 16%, which fell within the attrition prediction used in our sample size calculation.

Statistical analyses were performed using SPSS statistical software version 24 for Windows (IBM Corp). Statistical significance was accepted as P < .05, and tests were 2-tailed. Fisher exact tests were used to compare categoric demographic characteristics (ie, race) and attrition between groups (ie, severe vs moderate). To compare continuous variables between groups at baseline (0 months), Mann-Whitney tests were used. All continuous variables were assessed for normality before analysis using histograms and P-P plots. Where data were not normally distributed (ie, intrahepatic lipid and subfascial thigh fat area), a natural log transformation was applied to obtain a normal distribution.

To compare longitudinal changes between groups, intention-to-treat analysis was performed using data from all participants originally randomized, using random-effects linear mixed models. Mixed-model analyses were used instead of standard repeated measures analysis of variance because of the likelihood that there would be dropouts and missed visits that precluded the use of the classic approach.⁴³ Therefore, this model allowed for participants to have partial missing data and still be included without imputation. Intervention group and time (ie, 0, 4, 6, and 12 months for all parameters, except waist circumference, hip circumference, and waist-to-hip ratio, which were assessed at all of these points plus at 0.25 and 1 month) were included as fixed effects, and participant was included as a random effect. For all outcomes, baseline values of the relevant variable were added as a covariate in the analysis. As the degree of physical activity is known to influence measures of body composition, physical activity (expressed in metabolic equivalents of task) was added as a covariate, as measured at each point. When the overall P value for the interaction between group and time was less than .05, comparisons between groups at each point were made, using Bonferroni adjustments to correct for multiple comparisons. As a secondary analysis, the model was further adjusted for weight at each point, because lighter individuals are known to have lower whole-body lean mass and BMD than heavier individuals.^{44 ,45} This was to determine if there was an effect of the interventions beyond that which would be expected due to weight loss.

Within-group changes were analyzed with repeated measures linear-mixed models. Intervention group and time were included in the model as fixed effects and time as a repeated measure, with physical activity (metabolic equivalents of task) added as a covariate. Maximum-likelihood estimation was used, and an unstructured covariance matrix was specified. When the overall P value for the interaction between group and time was less than .05, comparisons between time points and baseline (0 months) within each group were made, using Bonferroni adjustments to correct for multiple comparisons.

Participants were recruited between March 2013 and July 2016, and 101 participants were randomized to the trial (Figure 1). Participants had a mean (SD) age of 58.0 (4.2) years, a mean (SD) weight of 90.8 (9.1) kg, and a mean (SD) body mass index of 34.4 (2.5). At baseline (0 months), there were no differences between groups in age, race (severe: 47 of 50 [94.0%] white participants; moderate: 48 of 51 [94.1%] white participants), or outcome variables (Table 1). Overall, 85 of 101 (84.2%) completed the 12-month intervention (46 of 50 [92.0%] in the severe group vs 39 of 51 [76.5%] in the moderate group). There were 3-fold fewer participants discontinuing the trial for the severe group compared with the moderate group (4 vs 12 participants; P = .05) (Figure 1).

The severe group had a significantly lower weight than the moderate group at all points after baseline (effect size, −6.6 kg; 95% CI, −8.2 to −5.1 kg; estimated marginal mean at 12 months: −15.3 [95% CI, −18.1 to −12.5] vs −8.4 [95% CI, −11.4 to −5.4] kg; P < .001) (Figure 2A and Table 2). Both groups had significant decreases in weight at all points compared with baseline. At 12 months, 41 of 46 participants (89.1%) in the severe intervention who remained in the study had lost at least 10% of their baseline weight compared with 14 of 39 participants (35.9%) in the moderate intervention who remained in the study (P < .001) (Figure 2B). Assuming participants who dropped out of the study did not achieve at least 10% weight loss, then 41 of 50 participants (82.0%) in the severe group lost at least 10% of baseline weight compared with 14 of 51 participants (27.5%) in the moderate group (P < .001). This represents a 2.5-fold to 3.0-fold greater likelihood of losing a clinically significant amount of weight (ie, 10%) with the severe vs moderate intervention.

The severe group had significantly lower values of whole-body lean mass compared with the moderate group at all points after baseline (effect size, −1.2 kg; 95% CI, −2.0 to −0.4 kg; estimated marginal mean at 12 months: −3.2 [95% CI, −4.1 to −2.3] kg vs −2.1 [95% CI, −3.1 to −1.2] kg; P = .005) (Figure 3A and Table 2). Similar findings were seen when the analysis was run for only participants who completed the trial. After adjusting for body weight at each point, the severe group still had significantly lower values of whole-body lean mass than the moderate group at 4 months but not at 6 or 12 months. Both groups had significant decreases in whole-body lean mass at all points compared with baseline (estimated marginal mean at 12 months, severe group: −3.2 [95% CI, −4.1 to −2.3] kg; moderate group: −2.1 [95% CI, −3.1 to −1.2] kg; P = .005).

Similar to whole-body lean mass, the severe group had significantly lower thigh muscle area than the moderate group at all points after baseline (effect size, −4.2 cm²; 95% CI, −6.5 to −1.9 cm²; estimated marginal mean at 12 months: −8.2 [95% CI, −10.7 to −5.7] cm² vs −3.9 [95% CI, −6.5 to −1.4] cm²; P < .001) (Figure 3B and Table 2). After adjusting for body weight at each point, the severe group still had significantly lower values of thigh muscle area compared with the moderate group at 4 months but not at 6 or 12 months. Both groups had significant decreases in thigh muscle area at all points compared with baseline.

There were no significant differences between the severe and moderate groups in dominant or nondominant handgrip strength (estimated marginal mean at 12 months for the dominant hand: −0.49 [95% CI, −2.32 to 1.35] kg vs −1.54 [95% CI, −3.46 to 0.38] kg; nondominant hand: −1.06 [95% CI, −2.91 to 0.79] kg vs −1.83 [95% CI, −3.78 to −0.13] kg) (Table 2; eFigure, A in Supplement 2). The severe group did not show any significant changes from baseline in either dominant or nondominant handgrip strength. The moderate group had a significant decrease from baseline to 4 months in the nondominant hand (estimated marginal mean, −1.61; 95% CI, −3.07 to −0.14; P = .02), but no significant changes from baseline in the dominant hand (Table 2; eFigure, A in Supplement 2).

The severe group had significantly lower total hip BMD than the moderate group at 12 months (effect size, −0.017 g/cm³; 95% CI, −0.029 to −0.005 g/cm²; estimated marginal mean: −0.032 [95% CI, −0.045 to −0.029] g/cm² vs −0.015 [95% CI, −0.028 to −0.002] g/cm²; P = .002), but there were no significant differences between groups in lumbar spine BMD (estimated marginal mean: −0.033 [95% CI, −0.046 to −0.014] g/cm² vs −0.021 [95% CI, −0.038 to −0.003] g/cm²; P = .27) or whole-body BMD (estimated marginal mean: −0.008 [95% CI, −0.008 to 0.002] g/cm² vs −0.010 [95% CI, −0.021 to 0.000] g/cm²; P = .38) (Figure 3C and D and Table 2; eFigure, B in Supplement 2). After adjusting our analyses for weight at each point, there was still a significantly lower total hip BMD in the severe group compared with the moderate group at 12 months. Both groups had significant decreases from baseline (Figure 3C and D and Table 2; eFigure, B in Supplement 2). Specifically, the severe group had significant decreases from baseline in total hip BMD at all points and in lumbar spine BMD at 6 and 12 months, while the moderate group had significant decreases from baseline in BMD in all 3 sites at 12 months.

There was a significant increase in the number of participants with osteopenia (defined as a T-score of –1 to –2.5)⁴⁶ at the femoral neck in the severe group but not the moderate group (severe: 0 months, 8 of 50 [16.0%]; 12 months, 18 of 46 [39.1%]; P = .04; moderate: 0 months, 12 of 50 [24.0%]; 12 months, 11 of 38 [28.9%]; P> .99). In contrast, in the total hip there was no difference between the severe and moderate groups in the number of participants with osteopenia at 0 or 12 months (severe: 0 months, 0 of 50; 12 months, 1 of 46 [2.2%]; moderate: 0 months, 3 of 50 [6.0%]; 12 months, 4 of 38 [10.5%]; P > .99). There were no participants with osteoporosis (defined as a T-score of –2.5 or less)⁴⁶ at 0 or 12 months in the severe or moderate groups.

Fat Mass and Distribution

Differences between the 2 groups in waist and hip circumference, or the ratio thereof, were observed starting at 1 to 4 months. Indeed, the severe group had significantly lower waist and hip circumferences compared with the moderate group at all points after baseline (estimated marginal mean of waist circumference at 12 months: −14.3 [95% CI, −17.3 to −11.3] cm vs −6.9 [95% CI, −10.1 to −3.7] cm; P < .001; hip circumference at 12 months: −10.3 [95% CI, −12.7 to −7.8] cm vs −6.2 [95% CI, −8.9 to −3.5] cm; P < .001) (Figure 3E and Table 2), and the severe group had significantly lower values of waist to hip ratio than the moderate group at 4, 6, and 12 months, but not at 0.25 or 1 month (estimated marginal mean at 12 months: −0.038 [95% CI, −0.075 to −0.001] vs −0.005 [95% CI, −0.046 to 0.035]; P < .001) (Table 2). Both groups had significant decreases in waist and hip circumference at all points compared with baseline, except at 0.25 months for the moderate group. The severe group but not the moderate group had significant reductions in the ratio of waist to hip circumference at 12 months compared with baseline. Moreover, compared with the moderate group, the severe group had significantly lower whole-body fat mass (effect size, −5.5 kg; 95% CI, −7.1 to −3.9 kg; estimated marginal mean at 12 months: −10.2 [95% CI, −12.1 to −8.4] kg vs −5.5 [95% CI, −7.5 to −3.4] kg; P < .001) (Figure 3F and Table 2), abdominal subcutaneous and visceral adipose tissue volumes (subcutaneous adipose tissue: effect size, −1890 cm³; 95% CI, −2560 to −1219 cm³; estimated marginal mean at 12 months, −3391 [95% CI, −4220 to −2562] cm³ vs −1624 [95% CI, −2511 to −736] cm³; P < .001; visceral adipose tissue: effect size, −1389 cm³; 95% CI, −1748 to −1030 cm³; estimated marginal mean at 12 months, −2379 [95% CI, −2839 to −1919] cm³ vs −1077 [95% CI, −1561 to −594] cm³; P < .001), intrahepatic lipid (geometric mean ratio at 12 months: 0.32 [95% CI, 0.22 to 0.46] vs 0.40 [95% CI, 0.27 to 0.61]; P = .04), thigh subcutaneous adipose tissue area (estimated marginal mean at 12 months: −38.9 [95% CI, −48.6 to −29.2] cm² vs −24.0 [95% CI, −34.2 to −13.8] cm²; P < .001) as well as thigh subfascial fat area (geometric mean ratio at 12 months: 0.79 [95% CI, 0.73 to 0.85] vs 0.89 [95% CI, 0.82 to 0.96]; P < .001) and intermuscular fat area (estimated marginal mean at 12 months: −1.80 [95% CI, −2.31 to −1.29] cm² vs −1.05 [95% CI, −1.58 to −0.51] cm²; P < .001) at all points after baseline (Table 2; eFigure, C-H in Supplement 2). Both groups had significant decreases from baseline in all these parameters.

There were 8 adverse events (6 in the severe group, all related or possibly related to the intervention, and 2 in the moderate group, neither related to the intervention). These adverse events were reported by participants to the research team or occurred in the clinic during the clinical testing day. No adverse event was considered serious. In the severe intervention, the adverse events were hemorrhoids (2 participants [4.0%]), gallstones (2 participants [4.0%]), and hair loss (2 participants [4.0%]). In the moderate intervention, there were 2 episodes of migraine (1 participant [2.0%]), probably precipitated by fasting prior to clinical testing. This participant had a history of migraines and continued with the trial but only underwent outcome measurements that did not require fasting.

This randomized clinical trial demonstrated that, compared with moderate energy restriction over a 12-month period, severe energy restriction resulted in the following: (1) approximately 1.5 times as much loss of whole-body lean mass and thigh muscle area, although these losses were proportional to the amount of weight lost; (2) no difference in handgrip strength; (3) approximately twice as much weight loss (with participants 2.5-3 times more likely to lose 10% of their initial weight); (4) approximately twice as much total fat loss; and (5) a healthier fat distribution, as indicated by approximately twice the loss of waist circumference, waist-to-hip circumference ratio, and abdominal adipose tissue volume (subcutaneous and visceral). Participants in the severely energy-restricted intervention were also 3 times less likely to discontinue the trial compared with those in the moderately energy-restricted intervention. This is possibly because the large and rapid weight loss associated with severe energy restriction has been shown to be encouraging and because the total meal replacement diet used to achieve it is simple and convenient.⁴⁷ These striking findings were offset by an approximately 2.5-fold greater loss of total hip BMD with severe energy restriction compared with moderate energy restriction, a difference not accounted for by the greater weight loss.

In this trial, the participants in the moderate group experienced approximately 1.3% reduction in total hip BMD after 12 months, similar to the annual rate of BMD loss at the hip in the early postmenopausal years (approximately 1.0%-1.4%).⁴⁸ However, after the 12-month severe intervention, total hip BMD loss (approximately 3.3%) was 2.4 to 3.3 times higher than these annual BMD losses. Interestingly, the decrease in BMD continued over the whole 12 months of the severe intervention, even though weight loss had plateaued by 6 months. This occurred despite a dietary protein prescription of 1 g/kg of actual body weight per day in both groups^{31 ,49} and despite the fact that the total meal replacement products used in this trial contained more than the Australian recommended dietary intake for vitamin D and calcium for women aged 51 to 70 years.³³ This loss of BMD may have been exacerbated because of the population selected for this trial (women with obesity who were ≥5 years postmenopausal). For example, in a study where men and women with obesity were prescribed a total meal replacement diet until they reached 15% weight reduction in 3 to 6 months, all participant groups exhibited significant decreases in body weight at 2 years, and both groups showed loss of BMD over 2 years, but this loss was statistically significant only among women.⁵⁰ This suggests that women may have a greater propensity to lose BMD following weight loss. Research also suggests that BMD loss may be exacerbated in postmenopausal women (as in this trial) compared with women who are still in the perimenopausal transition.⁴⁸

The consequences of accelerated BMD loss with a severely energy-restricted dietary obesity treatment are clinically concerning, especially if BMD loss continues beyond the 12-month intervention, because it has been linked to an increased risk of osteoporosis and fragility fracture.^{51 ,52} However, this bone loss must be considered in light of the beneficial effects of substantial weight loss on other health outcomes and health care costs. For example, although a 3% to 5% loss of initial weight has generally been accepted as being clinically significant,^{11 ,53} recent research shows that greater weight losses, ie, of 7.7%, 10%, 15%, or 20%, dose-dependently improve health outcomes.^{54 -57} In addition, if treated effectively, the costs of obesity-related health complications would be significantly reduced.² Thus, implementing effective obesity treatments is essential to reducing obesity-related comorbidities and the associated costs. Thus, while the current trial should not discourage the use of total meal replacement diets as a treatment for obesity in postmenopausal women, further investigation is needed to determine the long-term consequences of the associated BMD loss on health outcomes such as osteoporotic fractures and to determine how BMD losses could be prevented in this population during and after these diets.

Strengths and Limitations

Strengths of this study include the 12-month randomized clinical trial design and the criterion-standard techniques used for the assessment of body composition, notably our primary outcome of lean mass. Another strength is that data variability was reduced by analysis of all data by a single researcher (ie, S.M. for DXA, A.L.W.-T. for MRI, and S.E.K. for MRS). There are, however, some limitations that must be noted, 1 of which is the technical limitation of DXA, which can only measure 2 tissue types at any time (eg, bone and soft tissue). Thus, being a 2-compartment model for the determination of body composition, a possible confounder is that the DXA analysis assumes a constant hydration of lean soft tissue, which is not always true, as hydration varies with age, sex, and disease. To help control for this, all participants were measured after an overnight fast (≥8 hours) and after voiding their bladder once at home before attending our clinical research facility and again when they arrived at the clinic. Another technical limitation of DXA is that changes in BMD observed with large weight losses might be exaggerated because of the varying amounts of soft tissue over time, which can result in unpredictable errors in DXA bone measurements, to up to 20%.⁵⁸ In addition, DXA assesses bone quantity and not bone quality (eg, bone microarchitecture) or osteoporotic fracture incidence, and it is possible that, despite BMD loss, bone quality and strength may have been preserved in our participants. Despite these technical limitations, DXA remains the criterion standard and the only available test for measuring BMD in clinical practice as well as being an important predictor of osteoporotic fracture.^{59 ,60} A further limitation of our trial is that participants were predominantly white, which limits the generalizability of the findings to populations of other races.

In this randomized clinical trial, severe energy restriction with a total meal replacement diet in postmenopausal women with obesity induced greater weight loss and approximately 1.5-fold as much loss of whole-body lean mass and thigh muscle area compared with moderate energy restriction over 12 months. While these losses of lean tissues were proportional to the amount of weight lost and while muscle strength (ie, handgrip strength) was unaffected by severe vs moderate energy restriction, there was an approximately 2.5-fold greater loss of total hip BMD with severe compared with moderate energy restriction, a difference not accounted for by the greater weight loss. Therefore, caution is necessary when implementing severe energy restriction in postmenopausal women with obesity, especially in those with osteopenia or osteoporosis, for whom concurrent bone-strengthening treatments (eg, muscle strengthening exercises) are recommended.

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Article Information

Accepted for Publication: September 4, 2019.

Published: October 30, 2019. doi:10.1001/jamanetworkopen.2019.13733

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Seimon RV et al. JAMA Network Open.

Corresponding Authors: Radhika V. Seimon, PhD (radhika.seimon@sydney.edu.au), and Amanda Sainsbury, PhD (amanda.salis@sydney.edu.au), The Boden Collaboration for Obesity, Nutrition, Exercise and Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.

Author Contributions: Drs Seimon and Sainsbury had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Seimon, Gibson, Franklin, Liu, Caterson, Byrne, Sainsbury.

Acquisition, analysis, or interpretation of data: Seimon, Wild-Taylor, Keating, McClintock, Harper, Gibson, Johnson, Fernando, Markovic, Center, Liu, Grieve, Lagopoulos, Byrne, Sainsbury.

Drafting of the manuscript: Seimon, Wild-Taylor, Keating, Johnson, Sainsbury.

Critical revision of the manuscript for important intellectual content: Seimon, Keating, McClintock, Harper, Gibson, Johnson, Fernando, Markovic, Center, Franklin, Liu, Grieve, Lagopoulos, Caterson, Byrne, Sainsbury.

Statistical analysis: Seimon, Wild-Taylor, Center, Grieve.

Obtained funding: Caterson, Byrne, Sainsbury.

Administrative, technical, or material support: Seimon, Keating, McClintock, Harper, Gibson, Johnson, Fernando, Liu, Grieve, Lagopoulos, Byrne, Sainsbury.

Supervision: Seimon, Markovic, Caterson, Sainsbury.

Conflict of Interest Disclosures: Dr Seimon reported serving on the Nestlé Health Science Optifast VLCD advisory board. Dr Gibson reported receiving payment from the Pharmacy Guild of Australia and from Nestlé Health Science for presentations at conferences. Dr Fernando reported being employed by the University of Sydney as a tutor. Dr Markovic reported serving on the NovoNordisk Obesity advisory board and the Nestlé Health Science Optifast VLCD advisory board; receiving funds for performing a clinical trial from the Australian Egg Corporation, and giving talks on obesity for NovoNordisk. Dr Center reported receiving support and honoraria for educational talks and/or advisory meetings from Amgen, Teva Pharmaceutical Industries, and Bayer and receiving an investigator-sponsored grant from Amgen. Dr Caterson reported being a past president of the World Obesity Federation; receiving funds for performing clinical trials from the National Health and Medical Research Council of Australia, SFI, the Australian Egg Corporation, Novo Nordisk, Bristol-Myers Squibb, and Pfizer; giving talks on obesity for Servier Laboratories and Novo Nordisk; chairing the independent steering committee for the ACTION IO Study; and receiving grants from Rhythm Pharmaceuticals. Dr Sainsbury reported owning 50% of the shares in Zuman International, which receives royalties for books she has written and payments for presentations at industry conferences; receiving presentation fees and travel reimbursements from Eli Lilly and Co, the Pharmacy Guild of Australia, Novo Nordisk, the Dietitians Association of Australia, Shoalhaven Family Medical Centres, the Pharmaceutical Society of Australia, and Metagenics; and serving on the Nestlé Health Science Optifast VLCD advisory board from 2016 to 2018. No other disclosures were reported.

Funding/Support: This work was supported by the National Health and Medical Research Council of Australia via Early Career Research Fellowship 1072771 to Dr Seimon and Fellowship 1122190 to Dr Keating as well as a Project Grant 1026005 to Drs Caterson, Byrne, and Sainsbury and Senior Research Fellowships 1042555 and 1135897 to Dr Sainsbury. The University of Sydney and the Endocrine Society of Australia additionally supported this work via a Sydney Outstanding Academic Researcher Fellowship to Dr Sainsbury and a Postdoctoral Research Award to Dr Seimon. The Australian Government Department of Education and Training also contributed to this research via an Australian Postgraduate Award to Dr Gibson and an International Postgraduate Research Scholarship to Dr Fernando. The Rebecca L. Cooper Medical Research Foundation and the University of Sydney/National Health and Medical Research Council of Australia provided grants that contributed to the purchase of equipment used for this trial. Dr Grieve acknowledges the support of the Sydney Medical School Foundation, the Heart Research Institute, The Frecker Family Trust, the Parker Hughes Bequest, and the University of Sydney. Dr Liu was supported in part by grant K24HL13632 from the National Heart, Lung, and Blood Institute. For the TEMPO Diet Trial, Prima Health Solutions (Brookvale, New South Wales, Australia) provided in-kind support in the form of below-cost KicStart meal replacement products (shakes) and a gift of associated adherence tools (shakers). This relationship with Prima Health Solutions was established after the dietary protocol for the TEMPO Diet Trial had been established.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 3.

Additional Contributions: We thank all our participants for their time and cooperation in this trial. Caro Badcock, MAppStat, and Marion Buso, MSci (Wageningen University, Wageningen, the Netherlands), provided advice and assistance with statistical analysis of the data. Ms Badcock was compensated for her time; Ms Buso was not compensated for her time. Michelle SH Hsu, MNurtDiet, and John McBride, BSc, assisted with recruitment of participants; the staff at I-Med Radiology (Camperdown, New South Wales, Australia), namely Ron Shnier, MD, Lynette Masters, MD, David Rowan, MD, and Domenic Soligo, PGradDipMedRadSc (magnetic resonance imaging), conducted the magnetic resonance imaging and magnetic resonance spectroscopy scans for this trial; and Pia Wikstrom (I-Med Radiology) helped schedule our participants for these scans. They were not compensated for their time.

1.

Knowler  WC, Fowler  SE, Hamman  RF,  et al; Diabetes Prevention Program Research Group.  10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677-1686. doi:10.1016/S0140-6736(09)61457-4PubMedGoogle ScholarCrossref

2.

Colagiuri  S, Lee  CM, Colagiuri  R,  et al.  The cost of overweight and obesity in Australia. Med J Aust. 2010;192(5):260-264.PubMedGoogle ScholarCrossref

4.

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(3):225-234. doi:10.1111/obr.12366PubMedGoogle ScholarCrossref

5.

Delbridge  E, Proietto  J.  State of the science: VLED (very low energy diet) for obesity. Asia Pac J Clin Nutr. 2006;15(suppl):49-54.PubMedGoogle Scholar

9.

Purcell  K. The Rate of Weight Loss Does Not Influence Long-term Weight Maintenance [PhD thesis]. Melbourne, Australia: The University of Melbourne; 2014.

11.

Jensen  MD, Ryan  DH, Apovian  CM,  et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelines; Obesity Society.  2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society. J Am Coll Cardiol. 2014;63(25, pt B):2985-3023. doi:10.1016/j.jacc.2013.11.004PubMedGoogle ScholarCrossref

12.

Collins  C.  Survey of dietetic management of overweight and obesity and comparison with best practice criteria. Nutr Diet. 2003;60:177-184.Google Scholar

15.

Ashtary-Larky  D, Ghanavati  M, Lamuchi-Deli  N,  et al.  Rapid weight loss vs. slow weight loss: which is more effective on body composition and metabolic risk factors? Int J Endocrinol Metab. 2017;15(3):e13249.PubMedGoogle Scholar

17.

Ard  JD, Cook  M, Rushing  J,  et al.  Impact on weight and physical function of intensive medical weight loss in older adults with stage II and III obesity. Obesity (Silver Spring). 2016;24(9):1861-1866. doi:10.1002/oby.21569PubMedGoogle ScholarCrossref

18.

Coutinho  SR, With  E, Rehfeld  JF, Kulseng  B, Truby  H, Martins  C.  The impact of rate of weight loss on body composition and compensatory mechanisms during weight reduction: a randomized control trial. Clin Nutr. 2018;37(4):1154-1162. doi:10.1016/j.clnu.2017.04.008PubMedGoogle ScholarCrossref

19.

Fogelholm  GM, Sievänen  HT, Kukkonen-Harjula  TK, Pasanen  ME.  Bone mineral density during reduction, maintenance and regain of body weight in premenopausal, obese women. Osteoporos Int. 2001;12(3):199-206.PubMedGoogle ScholarCrossref

22.

Shapses  SA, Von Thun  NL, Heymsfield  SB,  et al.  Bone turnover and density in obese premenopausal women during moderate weight loss and calcium supplementation. J Bone Miner Res. 2001;16(7):1329-1336.PubMedGoogle ScholarCrossref

23.

Redman  LM, Rood  J, Anton  SD, Champagne  C, Smith  SR, Ravussin  E; Pennington Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) Research Team.  Calorie restriction and bone health in young, overweight individuals. Arch Intern Med. 2008;168(17):1859-1866. doi:10.1001/archinte.168.17.1859PubMedGoogle ScholarCrossref

24.

Vink  RG, Roumans  NJ, Arkenbosch  LA, Mariman  EC, van Baak  MA.  The effect of rate of weight loss on long-term weight regain in adults with overweight and obesity. Obesity (Silver Spring). 2016;24(2):321-327. doi:10.1002/oby.21346PubMedGoogle ScholarCrossref

26.

Johnson  CL, Paulose-Ram  R, Ogden  CL,  et al.  National health and nutrition examination survey: analytic guidelines, 1999-2010. Vital Health Stat 2. 2013;(161):1-24.PubMedGoogle Scholar

27.

Seimon  RV, Gibson  AA, Harper  C,  et al.  Rationale and protocol for a randomized controlled trial comparing fast versus slow weight loss in postmenopausal women with obesity: the TEMPO diet trial. Healthcare (Basel). 2018;6(3):E85. doi:10.3390/healthcare6030085PubMedGoogle Scholar

29.

International Conference on Harmonisation Expert Working Group.  ICH harmonised tripartite guideline: guideline for Good Clinical Practice. J Postgrad Med. 2001;47(3):199-203.PubMedGoogle Scholar

31.

Gibson  AA, Seimon  RV, Franklin  J,  et al.  Fast versus slow weight loss: development process and rationale behind the dietary interventions for the TEMPO Diet Trial. Obes Sci Pract. 2016;2(2):162-173. doi:10.1002/osp4.48PubMedGoogle ScholarCrossref

33.

Gibson  AA, Franklin  J, Pattinson  AL,  et al.  Comparison of very low energy diet products available in Australia and how to tailor them to optimise protein content for younger and older adult men and women. Healthcare (Basel). 2016;4(3):E71. doi:10.3390/healthcare4030071PubMedGoogle Scholar

34.

Donnelly  JE, Blair  SN, Jakicic  JM, Manore  MM, Rankin  JW, Smith  BK; American College of Sports Medicine.  American College of Sports Medicine Position Stand: appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc. 2009;41(2):459-471. doi:10.1249/MSS.0b013e3181949333PubMedGoogle ScholarCrossref

39.

BaHammam  A, Alrajeh  M, Albabtain  M, Bahammam  S, Sharif  M.  Circadian pattern of sleep, energy expenditure, and body temperature of young healthy men during the intermittent fasting of Ramadan. Appetite. 2010;54(2):426-429. doi:10.1016/j.appet.2010.01.011PubMedGoogle ScholarCrossref

40.

Bryson  JM, King  SE, Burns  CM, Baur  LA, Swaraj  S, Caterson  ID.  Changes in glucose and lipid metabolism following weight loss produced by a very low calorie diet in obese subjects. Int J Obes Relat Metab Disord. 1996;20(4):338-345.PubMedGoogle Scholar

41.

Byrne  NM, Meerkin  JD, Laukkanen  R, Ross  R, Fogelholm  M, Hills  AP.  Weight loss strategies for obese adults: personalized weight management program vs. standard care. Obesity (Silver Spring). 2006;14(10):1777-1788. doi:10.1038/oby.2006.205PubMedGoogle ScholarCrossref

42.

McMillan-Price  J, Petocz  P, Atkinson  F,  et al.  Comparison of 4 diets of varying glycemic load on weight loss and cardiovascular risk reduction in overweight and obese young adults: a randomized controlled trial. Arch Intern Med. 2006;166(14):1466-1475. doi:10.1001/archinte.166.14.1466PubMedGoogle ScholarCrossref

47.

Harper  C, Maher  J, Grunseit  A, Seimon  RV, Sainsbury  A.  Experiences of using very low energy diets for weight loss by people with overweight or obesity: a review of qualitative research. Obes Rev. 2018;19(10):1412-1423. doi:10.1111/obr.12715PubMedGoogle ScholarCrossref

49.

Rizzoli  R, Biver  E, Bonjour  JP,  et al.  Benefits and safety of dietary protein for bone health-an expert consensus paper endorsed by the European Society for Clinical and Economical Aspects of Osteopororosis, Osteoarthritis, and Musculoskeletal Diseases and by the International Osteoporosis Foundation. Osteoporos Int. 2018;29(9):1933-1948.PubMedGoogle ScholarCrossref

51.

Johnell  O, Kanis  JA, Oden  A,  et al.  Predictive value of BMD for hip and other fractures. J Bone Miner Res. 2005;20(7):1185-1194.PubMedGoogle ScholarCrossref

55.

Atukorala  I, Makovey  J, Lawler  L, Messier  SP, Bennell  K, Hunter  DJ.  Is there a dose-response relationship between weight loss and symptom improvement in persons with knee osteoarthritis? Arthritis Care Res (Hoboken). 2016;68(8):1106-1114. doi:10.1002/acr.22805PubMedGoogle ScholarCrossref

56.

Schrepf  A, Harte  SE, Miller  N,  et al.  Improvement in the spatial distribution of pain, somatic symptoms, and depression after a weight loss intervention. J Pain. 2017;18(12):1542-1550.PubMedGoogle ScholarCrossref

57.

Lean  MEJ, Leslie  WS, Barnes  AC,  et al.  Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial. Lancet Diabetes Endocrinol. 2019;7(5):344-355. doi:10.1016/S2213-8587(19)30068-3PubMedGoogle ScholarCrossref

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