The Biggest Loser:
Are Weight Loss Attempts Doomed?
Melinda M. Manore, PhD, RD, CSSD, FACSM College of Public Health and Human Sciences Oregon State University
1
The Biggest Loser: Are Weight Loss Attempts Doomed? Melinda M. - - PowerPoint PPT Presentation
The Biggest Loser: Are Weight Loss Attempts Doomed? Melinda M. Manore, PhD, RD, CSSD, FACSM College of Public Health and Human Sciences Oregon State University 1 Todays Focus 1. Biggest Loser What did we learn? 2. Weight loss/Mgt
Melinda M. Manore, PhD, RD, CSSD, FACSM College of Public Health and Human Sciences Oregon State University
1
2
3
Bill Germanakos from Biggest Loser Before After
Kevin Hall, PhD NIDDK Obesity, 2016 J Clin Endocrinol Metab, 2012 Eric Ravussin, PhD Pennington Biomedical Research Center
J Clin Endocrinol Metab, 2012
Question:
1. Does a weight loss program of diet restriction and vigorous exercise preserve FFM and RMR? 2. Does metabolic ‘adaptation” occur to counter weight loss and contribute to weight regain?
Subjects: Biggest Loser Participants (n=16; M=7; F=9) measured before & after weight loss (0,6,30wk) (33±10y). Methods: Housed in isolated ranch in LA, with 1 contestant voted
returned home & continued program on their own (30 wk). Exercise: 90min/d supervised (6d/wk, aerobic/strength) + encourage to do another 3 h/d. Min PA=2h/d; Mean PA=3 h/d Diet: 65-70% of baseline energy requirements (1300 kcal/d).
Baseline (n=16) Week 30 (n=16) Change ∆ Anthropometrics (DXA) Body Wt (kg) 149.2 (38.0) (330lbs) 91.6 (22.9) 57.6 kg (127lbs) BMI (kg/m2) 49.4 (9.4) 30.4 (6.4) 19.0 Wt Change (%) 39.9 (9.1) FFM (kg) 75.7(20.2) 65.2(15.5)
10.5 (17.4% Wt Loss)
FM (kg) 73.5 (21.1) 26.4 (13.8)
47.1 (82.6% Wt Loss)
Body Fat (%) 49(5) 28(10) 21% Energy Expenditure RMR (kcal/d) 2,679(624) 1,890 (423)
Predicted RMR (kcal/d) 2,393 (466) Metabolic Adapt (kcal/d)
(7%↓ kcal/kg FFM) TEE (kcal/d) 3900 (957) 3114 (571)
6
Baseline (n=16) Week 30 (n=16) Change ∆ Anthropometrics (DXA) Body Wt (kg) 149.2 (38.0) (330lbs) 91.6 (22.9) 57.6 kg (127lbs) BMI (kg/m2) 49.4 (9.4) 30.4 (6.4) 19.0 Wt Change (%) 39.9 (9.1) FFM (kg) 75.7(20.2) 65.2(15.5)
10.5 (17.4% Wt Loss)
FM (kg) 73.5 (21.1) 26.4 (13.8)
47.1 (82.6% Wt Loss)
Body Fat (%) 49(5) 28(10) 21% Energy Expenditure (DLW) RMR (kcal/d) (mea) 2,679(624) 1,890 (423)
Predicted RMR (kcal/d) used baseline data 2,393 (466) Metabolic Adapt (kcal/d)
(20%↓kcal/kg FFM)
TEE (kcal/d) 3900 (957) 3114 (571)
7
8
did not prevent the slowing of RMR more than predicted based on weight loss.
weight maintenance, which may increase risk of weight regain unless high level PA maintained and energy restriction remained.
9
Alan Smith
Objective:
1. Measure long-term changes in RMR & body composition in participants of “Biggest Loser”.
Subjects: Biggest Loser participants (n=14/16; M=6; F=8) returned to NIH 6y after weight loss. 1 subject maintained wt loss; 5 subjects were with 1% of baseline or above. Methods: For 2 wk prior to 3-d NIH Clinical Ctr stay, remote body weight monitoring occurred (bluetooth; electronic). RMR, TEE (DLW) and body composition (DXA), and hormones & metabolite measurements done.
Kevin Hall Obesity, 2016
Fothergill et al, 2016
N=14 Baseline Age=34.9y Week 30 Age= 35.4y 6 y Age = 41.3y Anthropometrics (DXA) Body Wt (kg) 148.9 90.6 131.6 (87% of baseline) BMI (kg/m2) 49.5 (10.1) 30.2 (6.7) 43.8 FFM (kg) 75.5(21.1) 64.4(15.5) 70.2 (93% baseline) FM (kg) 73.4 (22.6) 26.2 (13.6) 61.4 (84% baseline) Body Fat (%) 49(5) 28(9) 44.7 (91% baseline)
Energy Expenditure (DLW)
PA (kcal/kg/d) 5.6±1.8 10.0 ± 4.6 10.1±4.0 RMR (kcal/d) (mea) 2,607(649) 1,996 (358) 1,930 (466) Predicted RMR (kcal/d) 2,577 (574 2,272 (435) 2,403 (507) Metabolic Adapt (kcal/d)
TEE (kcal/d) 3804 (957) 3,002 (573) 3,429±581
11
N=14 Baseline Age=34.9y Week 30 Age= 35.4y 6 y Age = 41.3y Anthropometrics (DXA) Body Wt (kg) 148.9 90.6 131.6 (87% of baseline) BMI (kg/m2) 49.5 (10.1) 30.2 (6.7) 43.8 FFM (kg) 75.5(21.1) 64.4(15.5) 70.2 (93% baseline) FM (kg) 73.4 (22.6) 26.2 (13.6) 61.4 (83% baseline) Body Fat (%) 49(5) 28(9) 44.7 (91% baseline)
Energy Expenditure (DLW)
PA (kcal/kg/d) 5.6±1.8 10.0 ± 4.6 10.1±4.0 RMR (kcal/d) (mea) 2,607(649) 1,996 (358) 1,930 (466) Predicted RMR (kcal/d) 2,577 (574 2,272 (435) 2,403 (507) Metabolic Adapt (kcal/d)
TEE (kcal/d) 3804 (957) 3,002 (573) 3,429±581
12
13
Body Weight Fat Free Mass Fat Mass Regained FFM Fat Mass Gains
14
∆ RMR
15
metabolic adaptation.
the greatest metabolic adaptation.
Wt regained from Baseline
16
PLoS One, 2009
Subjects: M/W (n=48); Age: 38y; BMI=27.8(kg/m2); <2d/wk PA Diet: (TEE determined by DLW over 14-d); Wk 1-12 & 22-24 all food provided; Wks13-22 self-selected diets based on targets; 30% FAT; 15% PRO; 55% CHO
maintenance
Duration: 6 months Data collection body comp (DXA): baseline, 3, 6.
↓25% en
CR = ↓ 25% CR + EX = 12.5% ea LCD = 900 kcal/d Key point: Weight loss the same with CR (-10.4%↓) and CR + EX (-10%↓). 6 mo
CR+Exercise Caloric Restriction only Redman et al PLoS 2009
CR = ↓ 25% CR + EX = 12.5% ea LCD = 900 kcal/d
+ 129±86
Author: “Volumetrics Weight-Control Plan: Feel Full on Fewer Calories” &
“The Volumetrics Eating Plan”
Penn State University
Types of Foods:
Characteristics of Foods
High volume/weight
Summary: LED diets may result greater losses in BW & reduction in kcals + with no reduction in portion
¼ c raisins vs. 1 2/3 c grapes
2006, AJCN.
Very-low
(< 0.6 kcal/g)
Low
(0.6-1.5 kcal/g)
Medium
(1.5-4.0 kcal/g)
High
(>4.0 kcal/g)
Most whole fruits, berries Other fruits: bananas, papayas Dried fruits: apricots, raisins, apples Nuts and nut butters Most whole vegetables Starchy vegetables: peas, corn, winter squash, baked potato Whole wheat (WW) breads, bagels, English muffins Cookies, muffins, pastries; foods with added sugar and fat Skim milk; low-fat yogurt/dairy Fat-free cottage cheese Mozzarella or Swiss cheese Other cheeses- cheddar, Brie-, mayo, sour cream Broth based soups Cooked whole grains:(oatmeal, brown rice) Baked snack foods: pretzels, tortilla chips Potato chips, regular tortilla chips, pretzels Legumes, low-fat meats Eggs, sirloin steak, pork chops Candy-all types, chocolate
24
+ moderate energy restriction