scholarly journals Weight-loss diet that includes consumption of medium-chain triacylglycerol oil leads to a greater rate of weight and fat mass loss than does olive oil

2008 ◽  
Vol 87 (3) ◽  
pp. 621-626 ◽  
Author(s):  
Marie-Pierre St-Onge ◽  
Aubrey Bosarge
2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1609-1609
Author(s):  
Anthony Basile ◽  
Michael Renner ◽  
Jessica Scillian ◽  
Karen Sweazea

Abstract Objectives As the never-ending macronutrient debate for weight loss continues, conflicting evidence persist. Per the carbohydrate-insulin hypothesis, a low-carbohydrate diet (LC) should produce a greater weight/fat loss compared to a low-fat/calorie diet (LF) by releasing less of the anabolic hormone insulin. However, from a ‘calories in, calories out’ perspective, does restricting calories on a LC diet produce a greater weight/fat loss compared to a LF diet? Methods A systematic review and meta-analysis of LC vs LF trials for weight loss was conducted and data were collected from 53 studies. Weight loss data were converted to kcals (1 kg = 3500 kcals) and a ratio was produced for each individual diet (ID-Ratio: weight loss in kcals/restricted dietary kcals) where a ratio of 1 indicates that one dietary kcal restriction equals one kcal of weight loss. Next, to compare the two diets, a comparison ratio (DC-Ratio: LC ID-Ration/LF ID-Ratio) was produced where a ratio greater than 1 indicates greater weight loss per dietary calorie restricted with LC diet. These calculations were repeated for body fat loss for full duration (n = 30 trials) and time of greatest weight loss (TGWL; Weight Loss: n = 19 trials; Fat Mass Loss: n = 4 trials). Results LC diets produced a greater weight loss (Full Duration: 6.10 kg vs 4.86 kg; n = 53 trials; P = 0.024; TGWL: 6.29 kg vs 4.34 kg; n = 19 trials; P = 0.024), however no difference was found for the amount of restricted calories or fat mass loss for either duration. No difference was found for the LC and LF ID-Ratios for weight or fat mass loss for either duration. The mean weight loss DC-Ratio was greater than 1 (Full Duration Mean: 1.61, SD: 1.71, n = 53 studies, P = 0.004; TGWL Mean: 1.74, SD: 1.0, n = 19 trails, P = 0.010) indicating a greater weight loss per calorie restricted with a LC diet. However, the fat loss DC-Ratio was not different from 1 (Full Duration Mean: 1.74, SD: 1.09, n = 30 trials, P = 0.552; TGWL Mean: 1.25, SD: 0.53, n = 4 trials, P = 0.428). Conclusions From a ‘calories in, calories out’ perspective, restricting calories on a LC diet produced a greater weight loss for the full duration of the trails and at the time of greatest weight loss compared to a LF diet. As no effect was seen on LC diets and fat mass loss, these results do not support the carbohydrate-insulin hypothesis of obesity. Funding Sources School of Life Sciences, Arizona State University.


2012 ◽  
Vol 68 (1) ◽  
pp. 80-86 ◽  
Author(s):  
K. M. Beavers ◽  
M. E. Miller ◽  
W. J. Rejeski ◽  
B. J. Nicklas ◽  
S. B. Kritchevsky

2018 ◽  
Vol 43 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Line Quist Bendtsen ◽  
Trine Blædel ◽  
Jacob Bak Holm ◽  
Janne Kunchel Lorenzen ◽  
Alicja Budek Mark ◽  
...  

During weight loss, dairy calcium is proposed to accelerate weight and fat-mass loss through increased fecal fat excretion. The primary objective was to investigate if a high-dairy energy-restricted diet is superior to low dairy in terms of changes in body weight, body composition, and fecal fat excretion over 24 weeks. Secondary objectives included fecal energy and calcium excretion, resting energy expenditure, blood pressure, lipid metabolism, and gut microbiota. In a randomized, parallel-arm intervention study, 11 men and 69 women (body mass index, 30.6 ± 0.3 kg/m2; age, 44 ± 1 years) were allocated to a 500-kcal (2100 kJ) –deficit diet that was either high (HD: 1500 mg calcium/day) or low (LD: 600 mg calcium/day) in dairy products for 24 weeks. Habitual calcium intake was ∼1000 mg/day. Body weight loss (HD: –6.6 ± 1.3 kg, LD: –7.9 ± 1.5 kg, P = 0.73), fat-mass loss (HD: –7.8% ± 1.3%, LD: –8.5% ± 1.1%, P = 0.76), changes in fecal fat excretion (HD: –0.57 ± 0.76 g, LD: 0.46 ± 0.70 g, P = 0.12), and microbiota composition were similar for the groups over 24 weeks. However, total fat-mass loss was positively associated with relative abundance of Papillibacter (P = 0.017) independent of diet group. Consumption of a high-dairy diet did not increase fecal fat or accelerate weight and fat-mass loss beyond energy restriction over 24 weeks in overweight and obese adults with a habitual calcium intake of ∼1000 mg/day. However, this study indicates that Papillibacter is involved in body compositional changes.


2020 ◽  
Vol 27 ◽  
pp. 196-201
Author(s):  
Iu. Iu. Mazur ◽  
S. B. Drozdovska ◽  
O. V. Andrieieva ◽  
Yu. Vinnichuk ◽  
A. Polishchuk ◽  
...  

Aim. Peroxisome proliferator activated receptor gamma (PPARG) and PPARG coactivator 1α (PPARGC1A) is a key regulator of energy metabolism. This study examines the influence of PPARG and PPARGC1A gene polymorphisms on the PPARG expression, obesity risk, lipoprotein profile and effectiveness of the physical activity intervention for improvement of these parameters. Methods. 39 women with BMI>30 kg/m2 participated in the three-months fitness-program and followed a hypocaloric diet (1500 kCal). At the beginning and at the end of the program, the following anthropometric and biochemical parameters were measured: BMI, percentage of total and visceral fat, amount of plasma lipoproteins, cholesterol, and triglycerides. Single nucleotide polymorphisms were identified in PPARG (n=94) and PPARGC1A (n=138) genes. PPARG mRNA expression was measured through reverse transcription PCR. Results. The physical exercise intervention resulted in a significant fat mass loss in all participants (40.3±5.3% before the study vs 36.4±5.7% after the study, P<0.00001). Polymorphisms rs6442311, rs6846769, rs6846769 were associated with lower visceral fat percent, rs6442311 also correlated with PPARG expression. PPARGC1A polymorphisms rs4458444, rs2305681 were associated with plasma lipoproteins, cholesterol, and triglyceride content. Weight loss effectiveness was connected with rs17650401, rs9833097, rs12629751. Conclusions. After correction for multiple comparisons only rs17650401, of PPARGC1A gene was associated with more effective fat mass reduction. Keywords: PPARG, obesity, single nucleotide polymorphism, weight loss, exercise intervention.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Quinn R Pack ◽  
Randal Thomas ◽  
Ray Squires ◽  
Lezlie Johnson ◽  
Virend Somers ◽  
...  

Introduction : Obesity is a common risk factor in cardiac rehabilitation (CR), yet many CR patients do not realize significant weight loss, despite engaging in regular exercise training while in CR. Hypothesis : We hypothesized that standard CR would demonstrate favorable body composition (BC) changes even in the absence of weight loss and sought to measure the performance characteristics of weight loss to predict BC changes. Methods : We included consecutive patients enrolled in early outpatient CR who underwent air displacement plethysmography with measurements of height, weight, and waist circumference at initiation and completion of CR. We calculated the accuracy of weight loss to identify significant improvements in BC. Results : Data from 112 patients were available for analysis; mean age 60±12 yr., 76% male, mean body mass index (BMI) 30.2±5.3 kg/m 2 . The indication for CR was myocardial infarction (n=33), percutaneous coronary intervention (n=29), coronary artery bypass or valve surgery (n=45), and heart transplant (n=5). Repeat testing occurred after a median of 81 days and 21 phase II CR sessions. There was no change in BMI (-0.53±1.3 kg/m 2 , p=0.43) and weight (-1.6±4.0 kg, p=0.51). Fat mass showed a borderline significant decrease of 2.9±3.9 kg (p=0.08). However, BC improved significantly as measured by body fat % (-2.5±3.2%, p=0.03) and waist circumference (-4.6±5.2 cm; p=0.01). There was a correlation between weight loss and fat mass loss (r=0.85, p=0.0001, positive predictive value=0.94), and % fat change (r=0.67, p=0.0001, positive predictive value=0.91). See table 1. However, the negative predictive value to detect no fat change for patients who did not lose weight was low (0.49, when assessed by % body fat loss, and 0.57, when assessed by fat mass loss). Among patients who did not lose weight, 29 (51%) had a greater than 1% body fat loss. Conclusions : The diagnostic performance of weight change to predict favorable BC changes is poor and highlights the potential utility of BC measurements in the CR setting. Table. Diagnostic Characteristics of Weight Loss as a Predictor of Improvements in Body Composition Weight Loss (kg) Body Fat % Loss ≤ 1% Fat Mass Loss (kg) > 1kg > 1% ≤ 1kg > 1kg 49 5 51 3 ≤ 1kg or gain 29 28 25 33 Sensitivity 0.63 0.67 Specificity 0.85 0.92 PPV * 0.91 0.94 NPV ** 0.49 0.57 * PPV = Positive Predictive Valve, ** NPV = Negative Predictive Value


Author(s):  
Thunyaporn Phungviwatnikul ◽  
Anne H Lee ◽  
Sara E Belchik ◽  
Jan S Suchodolski ◽  
Kelly S Swanson

Abstract Canine obesity is associated with reduced lifespan and metabolic dysfunction, but can be managed by dietary intervention. This study aimed to determine the effects of restricted feeding of a high-protein, high-fiber (HPHF) diet and weight loss on body composition, physical activity, blood metabolites, and fecal microbiota and metabolites of overweight dogs. Twelve spayed female dogs [age: 5.5±1.1 yr; body weight (BW): 14.8±2.0 kg, body condition score (BCS): 7.9±0.8] were fed a HPHF diet during a 4-wk baseline phase to maintain BW. After baseline (wk 0), dogs were first fed 80% of baseline intake and then adjusted to target 1.5% weekly weight loss for 24 wk. Body composition using dual-energy x-ray absorptiometry and blood samples (wk 0, 6, 12, 18, 24), voluntary physical activity (wk 0, 7, 15, 23), and fresh fecal samples for microbiota and metabolite analysis (wk 0, 4, 8, 12, 16, 20, 24) were measured over time. Microbiota data were analyzed using QIIME 2. All data were analyzed statistically over time using SAS 9.4. After 24 wk, dogs lost 31.2% of initial BW and had 1.43±0.73% weight loss per wk. BCS decreased (P&lt;0.0001) by 2.7 units, fat mass decreased (P&lt;0.0001) by 3.1 kg, and fat percentage decreased (P&lt;0.0001) by 3.1 kg and 11.7% with weight loss. Many serum metabolites and hormones were altered, with triglycerides, leptin, insulin, C-reactive protein, and interleukin-6 decreasing (P&lt;0.05) with weight loss. Relative abundances of fecal Bifidobacterium, Coriobacteriaceae UCG-002, undefined Muribaculaceae, Allobaculum, Eubacterium, Lachnospira, Negativivibacillus, Ruminococcus gauvreauii group, uncultured Erysipelotrichaceae, and Parasutterella increased (P&lt;0.05), whereas Prevotellaceae Ga6A1 group, Catenibacterium, Erysipelatoclostridium, Fusobacterium, Holdemanella, Lachnoclostridium, Lactobacillus, Megamonas, Peptoclostridium, Ruminococcus gnavus group, and Streptococcus decreased (P&lt;0.01) with weight loss. Despite the number of significant changes, a state of dysbiosis was not observed in overweight dogs. Fecal ammonia and secondary bile acids decreased, while fecal valerate increased with weight loss. Several correlations between gut microbial taxa and biological parameters were observed. Our results suggest that restricted feeding of a HPHF diet and weight loss promotes fat mass loss, minimizes lean mass loss, reduces inflammatory marker and triglyceride concentrations, and modulates fecal microbiota phylogeny and activity in overweight dogs.


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