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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic Rate: A Randomized Trial

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The purpose of this study was to determine the effects of resistance training only (RT n=10), dietary intervention only (DIET n=10), resistance training plus diet (RT+DIET n=10) and control (CON n=10) on body composition and resting metabolic rate (RMR) in a cohort of 40 premenopausal female volunteers. Subjects in DIET and RT+DIET were provided with daily macronutrient and calorie goals based on DXA and RMR tests, with protein maintained at 1.4 g/kg/day. Subjects in the RT and RT+DIET groups performed a supervised progressive RT program consisting of exercises for all the major muscle groups of the body. Results showed a significant month-by-group interaction for change in fat mass with no significant linear trend for control. The three treatment groups all showed significant linear decreases in fat mass, but the slope of the decrease became progressively steeper from the RT, to DIET, to RT+DIET. A significant linear increase for lean mass was seen for resistance training-only. There was a non-significant increase in RMR in all groups from Month 0 to Month 4 but no significant month by group interaction. In conclusion, significant reductions in fat mass were achieved by all experimental groups, but results were maximized by RT+DIET. Only the RT group showed significant increases in lean mass.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Note: This article will be published in a forthcoming issue of the
International Journal of Sport Nutrition and Exercise
Metabolism. This article appears here in its accepted, peer-
reviewed form; it has not been copyedited, proofed, or formatted
by the publisher.
Section: Original Research
Article Title: Resistance Training Combined With Diet Decreases Body Fat While Preserving
Lean Mass Independent of Resting Metabolic Rate: A Randomized Trial
Authors: Todd Miller1, Stephanie Mull1, Alan Albert Aragon2, James Krieger3, and Brad Jon
Schoenfeld4
Affiliations: 1George Washington University, Milken School of Public Health, Washington,
D.C. 2California State University, Northridge, CA. 3Weightology, LLC, Issaquah, WA. 4CUNY
Lehman College, Department of Health Sciences, Bronx, NY.
Running Head: Resistance training effects on fat loss
Journal: International Journal of Sport Nutrition and Exercise
Acceptance Date: August 17, 2017
©2017 Human Kinetics, Inc.
DOI: https://doi.org/10.1123/ijsnem.2017-0221
Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
RUNNING TITLE: Resistance training effects on fat loss
Resistance training combined with diet decreases body fat while preserving lean
mass independent of resting metabolic rate: A randomized trial
Todd Miller1
Stephanie Mull1
Alan Albert Aragon2
James Krieger3
Brad Jon Schoenfeld4
1George Washington University, Milken School of Public Health, Washington, D.C.
2California State University, Northridge, CA
3Weightology, LLC, Issaquah, WA, USA
4CUNY Lehman College, Department of Health Sciences, Bronx, NY
WORD COUNT: 2968
Funding: The study was funded by a grant from the Sumner M. Redstone Global Center for
Prevention and Wellness. The authors declare no conflicts of interest.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Abstract
The purpose of this study was to determine the effects of resistance training only (RT n=10),
dietary intervention only (DIET n=10), resistance training plus diet (RT+DIET n=10) and control
(CON n=10) on body composition and resting metabolic rate (RMR) in a cohort of 40
premenopausal female volunteers. Subjects in DIET and RT+DIET were provided with daily
macronutrient and calorie goals based on DXA and RMR tests, with protein maintained at 1.4
g/kg/day. Subjects in the RT and RT+DIET groups performed a supervised progressive RT
program consisting of exercises for all the major muscle groups of the body. Results showed a
significant month-by-group interaction for change in fat mass with no significant linear trend for
control. The three treatment groups all showed significant linear decreases in fat mass, but the
slope of the decrease became progressively steeper from the RT, to DIET, to RT+DIET. A
significant linear increase for lean mass was seen for resistance training-only. There was a non-
significant increase in RMR in all groups from Month 0 to Month 4 but no significant month by
group interaction. In conclusion, significant reductions in fat mass were achieved by all experimental
groups, but results were maximized by RT+DIET. Only the RT group showed significant increases in lean
mass.
Keywords: Body composition, strength training, fat-free mass
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Introduction
Aerobic exercise (AE) is commonly recommended as the most effective exercise modality
for weight loss (Haskell et al., 2007). The American College of Sports Medicine (ACSM) position
stand on physical activity for weight loss recommends 150-250 minutes per week of moderate
intensity physical activity (Donnelly et al., 2009). While the ACSM promotes resistance training
(RT) as a means of increasing fat free mass, which should lead to improved body composition, it
does not promote RT for losing significant amounts of body fat. Similarly, the United States Public
Health Service physical activity guidelines for weight loss do not mention RT at all as a viable
exercise modality for weight loss. This is not surprising, as there is a paucity of research examining
the effects of RT on weight loss. Furthermore, the few studies that have explored RT for weight
loss generally show that it is ineffective (Olson, Dengel, Leon, & Schmitz, 2007; Willis et al.,
2012). Indeed, the effectiveness of any weight loss program is dependent on the size of the caloric
deficit that is created over time, and since AE generally burns more calories per unit of time than
RT (Donnelly et al., 2009), it stands to reason that AE would be the most commonly prescribed
type of exercise for losing weight. Contributing to the exclusion of RT for weight loss is a
widespread belief among dietitians, nutritionists and exercise professionals that it is not possible
to induce hypertrophy while in a caloric deficit, and since the creation of a caloric deficit is
essential for fat loss, the use of RT for muscle growth in a caloric deficit is counter-intuitive. These
beliefs continue to exist despite emerging evidence to the contrary (Josse, Atkinson, Tarnopolsky,
& Phillips, 2011; Longland, Oikawa, Mitchell, Devries, & Phillips, 2016).
RT has been shown to elevate resting metabolism for an extended period of time following
cessation of the training session (Stiegler & Cunliffe, 2006). Additionally, having a greater muscle
mass should lead to a greater resting metabolism (Gallagher et al., 1998). Unlike RT, chronic AE
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
performed in a caloric deficit (which is often the recommendation for effective weight loss) has
the potential to lead to significant decreases in muscle mass, thereby hampering improvements in
body composition (Swift, Johannsen, Lavie, Earnest, & Church, 2014). Ideally, a program
designed to improve body composition should do so through the loss of fat alone, with muscle
mass being maintained or increased. This is particularly important to premenopausal females, as
it has been reported that major weight gain occurs in women at a rate twice that of men, and is
highest in persons aged 25-34 (Williamson, Kahn, Remington, & Anda, 1990). Moreover, women
have lower baseline levels of muscle mass compared to men, and thus are at greater risk of negative
complications when muscle proteins are lost during dieting.
Several reasons could exist for the lack of effectiveness of RT reported in most weight loss
studies (Donnelly et al., 2009). Possible explanations include, but are not limited to, 1) a lack of
control and/or measurement of caloric intake; 2) failure to adjust dietary protein needs to support
muscle growth; and 3) an inadequate RT stimulus. Case studies of clients from our laboratory have
routinely demonstrated that substantial decreases in body fat can be induced with RT as the
exclusive form of exercise. Furthermore, these decreases in body fat occur with concomitant
increases in muscle mass, while in a caloric deficit.
The purpose of this study was threefold: 1) To determine whether RT combined with
dietary intervention (RT+DIET) results in greater improvements in body composition compared
with RT or DIET alone in overweight/obese premenopausal women; 2) To determine whether RT
combined with dietary intervention (RT+DIET) results in greater improvements in fat mass in the
visceral depot compared with RT or DIET alone, and; 3) To determine whether concomitant
increases in muscle mass and decreases in fat mass can occur while in a caloric deficit.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Methods
Subjects
Subjects were a convenience sample of 40 female volunteers (Body mass = 87.4±12.6;
Height = 165.7±7; Age = 32.3±4.8; BMI = 31.9±4.4). The sample size was based on previous
research by Jabekk (Jabekk, Moe, Meen, Tomten, & Hostmark, 2010) using change in fat mass as
the outcome measure with a target effect size difference of 0.4, alpha of 0.05 and minimum power
of 0.80. Recruitment took place from 4/1/16 to 5/14/16, and follow up took place from 8/15/16 to
9/16/16. The following inclusion criteria had to be met for participation: 1) women between 25-40
years of age; 2) regular menstrual cycle; 3) body fat >30%; 4) normally active; 5) not currently
meeting CDC physical activity guidelines; 6) no organized weight training within past 1 year; 7)
not currently dieting or food logging. Exclusion criteria included: 1) Subjects who do not have the
ability to exercise based on a Physical Activity Readiness questionnaire; 2) history of an eating
disorder; injury or medical issue that would prohibit them from resistance training; 3) pregnant or
nursing. Following recruitment, subjects were given a screening questionnaire either in-person,
electronically (via email), or verbally (via phone), in order to determine whether they were viable
candidates. Informed consent was obtained at the time of screening. The study was conducted
according to the Declaration of Helsinki, and was approved by the local University Ethics
Committee.
Random sequences were generated by the PI using a random number generator app
from https://www.random.org/. A 40 number sequence was randomly produced by the app.
Subjects were then asked by the PI to press the button on the app, and were randomly assigned to
one of 4 groups based on the following result from the app: 0-10 = Control (CON n=10); 11-20=
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Dietary intervention only (DIET n=10); 21-30 = Resistance Training only (RT n=10); 31-40 =
Resistance Training plus Diet (RT+DIET n=10).
Testing:
Subjects meeting criteria as defined by the screening survey reported to the University lab
for secondary screening at 9:00 a.m. following an overnight fast. Body composition was then
measured via Dual Energy X-ray Absorptiometry (iDXA, Lunar; GE Medical Systems, Madison,
WI, USA). All DXA scans were analyzed using enCORE 2012 software, version 14.1 to determine
total percentage of fat and lean tissue, bone mineral content and visceral adipose tissue. Subjects
were instructed to report to the lab after an overnight fast having refrained from exercise for 48
hours and to remain normally hydrated prior to body composition and RMR assessment.
After DXA scanning, subjects underwent testing for resting metabolic rate (RMR) via
indirect calorimetry to determine daily resting caloric expenditure. Subjects sat quietly in a
reclined position and breathed normally for 10-12 minutes through a one-way valve with the nose
plugged. The subject inhaled normal room air, and exhaled air was continuously collected and sent
to a KorrReeVue indirect calorimeter (Korr Medical Technologies, Salt Lake City, UT USA).
RMR was calculated by the calorimeter (Korr ReeVue, Salt Lake City, UT), which automatically
begins collecting gas when it detects the first breath into the machine and then stops automatically
once the collection time is complete.
Follow-up DXA scans were obtained at weeks 4, 8, 12 and 16 and RMR testing was
repeated at week 16.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Diet
Subjects in DIET and RT+DIET groups met individually with a registered dietitian and
were given daily macronutrient and calorie goals based on their DXA and RMR tests. Calculation
of daily caloric intake was based on the Harris-Benedict equation as follows with the objective of
energy-restriction: If the RMR was within 10% of the predicted RMR, intake was set at the RMR;
if the RMR was greater than 10% over the predicted, intake was set at 10% below the measured
RMR; if the RMR was greater than 10% below the predicted, intake was set at 10% above the
measured RMR. Fat intake was set at 20% of total calories. Protein intake was calculated using a
factor of 3.1 g of protein per kg of fat free mass (Helms, Zinn, Rowlands, & Brown, 2014).
Carbohydrate made up the balance of the remaining calories.
Subjects in the DIET and RT+DIET groups began following the prescribed caloric and
macronutrient goals as established in their meeting with the dietitian within one week of the initial
meeting and continued this regimen over the entire course of the study. To track nutritional
consumption, subjects were familiarized with the usage of a phone app & website for food logging
(fatsecret.com). During the course of the study, subjects logged all of their foods daily into the
fatsecret app and the data were then analyzed to determine total energy and macronutrient intake.
Exercise
Within two weeks following initial screening, subjects in the RT and RT+DIET groups
reported to Power Train Sports and Fitness (www.powertrainsports.com) for an exercise
familiarization session. Subjects met with a certified trainer from Power Train who walked them
through the exercise program, taught proper exercise form, and establish appropriate training
loads.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
The RT intervention began within one week following the exercise familiarization session.
All training sessions were performed under the individual supervision of a certified personal trainer
from Power Train. Training sessions continued at a rate of 2-3 per week (depending on training
phase) for 16 weeks.
The RT intervention consisted of two separate workout complexes that were alternated
every 4 weeks for the duration of the 16-week study. Exercise complex one consisted of Squats,
Romanian Deadlifts, Swiss Ball Squats, Bench Press, Lat Pulldown, Dumbbell Shoulder Press,
Incline Dumbbell Fly, Seated Row, Dumbbell Lateral Raise and Low Back Hyperextensions.
Exercise complex two consisted of Deadlifts, Leg Curls, Leg Extensions, Incline Dumbbell Press,
Close Grip Pulldowns, Arnold Press, Cable Crossover, Chest Supported Dumbbell Row, Face
Pulls and Low Back Hyperextension. Each exercise was completed for 4 sets of 10-12RM. Rest
periods between sets were between 60-90 seconds. Subjects trained 3 times per week for weeks 1-
3 of each month, then trained twice weekly during the 4th week of each month. Training loads for
a given exercise were increased when the subject could complete greater than 12 reps on the first
set, or when she could complete 12 reps on all 4 sets. Loads were progressively increased in order
to keep the RM in the 10-12 range.
Statistics
Data were modeled using a linear mixed model for repeated measures, estimated by a
restricted maximum likelihood algorithm, with drop-outs removed from the dataset. Diet
intervention (control, diet, resistance training, resistance training + diet) was included as the
between-subject factor, month (0, 1, 2, 3, 4) was included as the repeated within-subjects factor,
month x intervention was included as the interaction, and subject was included as a random effect.
In cases where significant interactions were present, linear time trends of within-group changes
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
were analyzed using linear mixed models for repeated measures. Comparisons of statistically
significant slopes for linear time trends were done using t-tests with a Holm-Bonferonni correction
for multiple comparisons.. Degrees of freedom were calculated using a Satterthwaite
approximation. Comparisons between self-reported dietary data were performed using
independent t-tests. All analyses were performed using package lmertest in R version 3.3.1 (The
R Foundation for Statistical Computing, Vienna, Austria). Effects were considered significant at
P ≤ 0.05. Data are reported as
x
± SD unless otherwise specified.
Results
A total of 31 subjects completed the study, with 9 dropouts (Control: n=8; RT: n=9; DIET:
n=9; RT+DIET: n=5). The reasons for the dropouts are as follows: 1 subject got deployed; 1
subject moved; 2 subjects suffered work-related injuries not connected to the study; and 5 subjects
ceased participation for unknown personal reasons. Outcomes for all variables are presented in
Table 1. One-way ANOVA was used to compare baseline characteristics between groups. There were no
significant differences in age (P = 0.73), body mass (P = 0.67), fat mass (P = 0.81), FFM (P = 0.63), BMC
(P = 1.0), or RMR (P = 0.83). Based on review of self-report dietary logs and estimates of energy
expenditure, diet-only achieved a daily energy restriction of ~502 kcal while training+diet achieved a daily
energy restriction of ~632 kcal.
Body Weight
There was a significant month by group interaction (P = 0.02). There was no significant
linear trend for control = 0.41; 95% CI = -1.08, 1.90; P = 0.58) or resistance-training-only groups
(β = 0.18; 95% CI = -0.36, 0.73; P = 0.51). There were similar significant linear decreases for the
diet-only (β = -1.35; 95% CI = -2.03, -0.67; P = 0.0004) and resistance training+diet groups (β = -
1.68; 95% CI = -2.51, -0.85; P = 0.0006). See Figure 1.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Percent Fat
There was a significant month by group interaction (P = 0.004). There was no significant
linear trend for control (β = 0.07; 95% CI = -0.12, 0.26; P = 0.45). There were similar significant
linear decreases for the diet-only (β = -0.40; 95% CI = -0.54, -0.26; P = 0.0), resistance-training
only = -0.38; 95% CI = -0.57, -0.19; P = 0.0003), and resistance-training+diet groups = -
0.53; CI = -0.74, -0.33; P < 0.0001). See Figure 2.
Fat Mass
There was a significant month by group interaction (P = 0.003). There was no significant
linear trend for control (β = 0.38; 95% CI = -0.62, 1.37; P = 0.46). The three treatment groups all
showed significant linear decreases in fat mass, but the slope of the decrease became progressively
steeper from the resistance-training only group, to the diet-only group, to the resistance-
training+diet group (resistance training-only: β = -0.58; 95% CI = -1.02, -0.14; P = 0.01; diet-
only: β = -1.35; 95% CI = -1.87, -0.83; P = 0.0; resistance training+diet: β = -1.80; 95% CI = -
2.43, -1.17; P < 0.0001). See Figure 3. When comparing the three statistically significant slopes
for fat mass using t-tests corrected for multiple comparisons by Holm-Bonferroni, resistance
training+diet showed a significantly greater slope than resistance training-only (P = 0.0019 tested
at 0.017 Holm-Bonferonni threshold); diet-only showed a non-significantly greater slope than
resistance training-only (P = 0.027 tested at 0.025 Holm-Bonferonni threshold). There was no
significant difference between resistance training+diet and diet-only (P = 0.29).
Lean Mass
There was nearly a significant month by group interaction (P = 0.052). There was no
significant linear trend for control (β = 0.03; 95% CI = -0.52, 0.57; P = 0.93), diet-only (β = -0.004;
CI = -0.30, 0.29; P = 0.98), or resistance training+diet (β = 0.11; 95% CI = -0.40, 0.62; P = 0.67).
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
There was a significant linear increase for resistance training-only (β = 0.76; 95% CI = 0.32, 1.2;
P = 0.002). See Figure 4.
Bone Mineral Content
There was no significant month by group interaction (P = 0.077). There were no significant
linear trends for any groups (Control: β = -0.003; 95% CI = -0.01, 0.01; P = 0.60; Diet-Only: β =
-0.01; 95% CI = -0.03, 0.004; P = 0.16; Resistance Training-Only: β = 0.009; 95% CI = -0.004,
0.02; P = 0.17; Resistance Training+Diet: β = 0.008; 95% CI = -0.01, 0.03; P = 0.46).
VAT
There was no significant month by group interaction (P = 0.20), group effect (P = 0.86), or
month effect (P = 0.14) for VAT.
Resting Metabolic Rate (RMR)
There was no significant month by group interaction (P = 0.79) or group effect (P = 0.76).
There was a non-significant (P = 0.092) increase in RMR in all groups from Month 0 to Month 4.
There were no significant interactions or main effects for RMR as a percentage of the predicted
value, with p-values ranging from 0.28 0.58 (pertaining to both the interaction term in the model, and
the two main effects)
Self-Reported Dietary Data
Self-reported dietary data are shown in Table 2. There were no significant differences
between the diet-only and diet+training groups for self-reported calorie intake (P = 0.49),
carbohydrate intake (P = 0.31), fat intake (P = 0.71), or protein intake (P = 0.62). There were also
no significant differences between groups for percentage of goals for calorie intake or
macronutrients (P = 0.23 0.75).
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Group dietary time trends are shown in Table 2. There was no significant month by group
interaction for calories (P = 0.40), protein (P = 0.77), or carbohydrate (P = 0.44). There were no
main effects of group for calories (P = 0.45), protein (P = 0.44), or carbohydrate (P = 0.31), nor
were there main effects of time for calories (P = 0.23), protein (P = 0.09), or carbohydrate (P =
0.41). There was a significant month by group interaction for fat (P = 0.02). There was a significant
linear trend for fat to decrease in the diet only group = -1.20; CI = -2.30, -0.10; P = 0.04),
whereas there was no trend in the diet and training group (P = 0.51).
Discussion
The study produced several notable findings. First, while reductions in fat mass were
achieved by all experimental groups, results were maximized by combining of RT and diet.
Second, only the RT group showed significant increases in lean mass; combining RT with diet
attenuated these increases. Finally, RMR remained unchanged over the course of the study period
for all conditions; changes in lean mass did not significantly affect this outcome.
The well-established negative effects of excess body fat on health and wellness underscore
the importance of determining effective strategies for weight loss. All treatments produced
significant reductions in fat mass over the 16 week study period, with the exception of RT-only,
which showed a decrease in fat mass at months 1-3, but an increase in fat mass at month 4. These
losses persisted in a linear fashion across each month of the study, with the slope of the decrease
becoming progressively steeper from RT-only to DIET-only to RT+DIET. Although RT-only did
not receive any nutritional prescription and were told not to make any modifications to their usual
diet, this group apparently was in a hypocaloric state during the initial 3 months of the trial, perhaps
inspired by a desire to realize additional benefits upon initiating an exercise program. The increase
in fat mass at the fourth month may have reflected a lapse in eating restraint due to an absence of
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
dietary programming. These results reinforce the fact that nutritional intervention combined with
exercise is paramount with respect to fat loss, with exercise providing a supplemental but important
role in the process. Illustrating this point, a systematic review and meta-analysis by Clark (Clark,
2015) found that diet plus RT or a combination of RT and AE had a greater impact on improving
body composition than diet alone. In a study specific to resistance training, Bouchard et al
(Bouchard, Soucy, Senechal, Dionne, & Brochu, 2009) compared the effects of caloric restriction
(CR), resistance training (RT), or a combination of the two (CR + RT) in a cohort of obese
postmenopausal women. Significant fat loss occurred in CR and CR + RT, but not RT alone.
The maintenance of high levels of muscle mass has implications on physical function, and
plays a role in the prevention of common pathologic conditions and chronic diseases (Wolfe,
2006). In this regard, only the RT group showed a significant increase in lean mass, with subjects
gaining 2.2 kg over the 16 week study period. In the absence of caloric restriction, lean mass gains
via resistance training are expected, especially in untrained subjects. In an investigation with a
similar subject profile (obese women age 20-40 yrs in nondieting conditions), Jabekk et al (Jabekk
et al., 2010) reported that the nondieting control group gained 1.5 kg FFM during 10 weeks of RT.
Assuming the same rate of gain extended another 6 weeks to match the length of the present study,
this would have amounted to 2.4 kg FFM; which is consistent with the gain of 2.2 kg seen in the
present study. In contrast with recent studies (Josse et al., 2011; Longland et al., 2016), the
RT+DIET group did not show significant increases in lean mass over the duration of the study.
However, it should be noted that there was a linear increase over the first 12 weeks of the study,
with an apparent loss of these gains during the final month. The reason for this finding is not
readily apparent. An additional consideration is that water is the predominant and most widely
fluctuating component of FFM due to varying glycogen concentrations, electrolyte balance
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
influencing hydration, and other factors. Therefore, increases in FFM are not necessarily
accompanied by directly proportional increases in contractile protein and do not necessarily reflect
gains in muscle mass.
Interestingly, the diet-only group did not lose any FFM over the 16 week intervention
period. Research generally shows a loss of lean tissue concomitant to a caloric deficit. It is
conceivable that the high-protein content of the diet (3.1 g/kg/FFM) helped to offset any such
losses. In support of this, a systematic review by Helms et al (Helms et al., 2014) reported that
lean, resistance-trained subjects in hypocaloric conditions required a protein intake of 2.3-3.1 g/kg
FFM in order to maximally protect against lean tissue losses. In addition, the present study did not
involve particularly aggressive caloric restriction (1419 & 1505 kcal/day in DIET and RT + DIET,
respectively). Despite rigorous efforts to ensure compliance to the diet (i.e. weekly review of food
logs, ongoing email support for dietary tracking, and monthly meetings with the dietician to answer
any diet-related questions), there nevertheless is the possibility of under-reporting of caloric intake.
Lichtman et al (Lichtman et al., 1992) found that obese subjects under-reported their intake by an
average of 47% (a group mean of 1053 kcal/day). Thus, in addition to the non-aggressively
prescribed caloric deficit, the potential for under-reporting total energy combined with the high
protein intake target could have spared FFM.
There were no significant changes in RMR noted from pre- to post-study in any of the
conditions studied. Our results on the topic concur with the body of literature, which shows that
changes in lean mass do not necessarily parallel changes in RMR (Stiegler & Cunliffe, 2006).
Although there is a clear metabolic cost of maintaining lean mass, the actual energy expenditure
associated with skeletal muscle is rather low, estimated at only ~13 kcal/kg per day (Wang et al.,
2011). Aristizabal et al. (Aristizabal et al., 2015) recently investigated the possibility of estimating
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
RMR responses in resistance-training subjects via DXA-measured changes in FFM. Although
there was a large degree of interindividual variability, 9 months of resistance training and
supplementation with either protein or carbohydrate increased RMR by an average of 5%, and
FFM (among other factors) was positively correlated with this small but significant increase. In
light of this finding, it is possible that the present study would need a longer duration to detect
significant changes in RMR.
Our study had several notable limitations that must be considered when making evidence-
based inferences from the data. First, although DXA is a well-established modality for estimating
body composition, the measurement of lean mass is specific to all non-fat and bone-free
components, and thus does not necessarily reflect changes in skeletal muscle. Second, given that
the subjects were premenopausal women, menstrual changes may have altered observed changes
in body composition. Third, the findings are specific to obese, premenopausal women and cannot
necessarily be generalized to other populations. Finally, the sample size was rather small, thereby
limiting statistical power for probability assessment.
Conclusion
Findings of this study indicate that a total-body RT program combined with a caloric deficit
is a viable strategy for reducing body fat while preserving lean mass in obese, premenopausal
women. Positive results do not appear to be related to increases in RMR. Given the health-related
implications for carrying excess body fat, these findings indicate that diet is the paramount
consideration for combating obesity and combining nutritional prescription with RT appears to
help optimize changes in body composition.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Figure 1. Effect of experimental conditions on changes in body weight in Diet Only, Resistance
Training Only, and Resistance Training + Diet groups for each month across the duration of the
study. * denotes significant linear trend
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Figure 2. Effect of experimental conditions on changes in percent body fat in Diet Only,
Resistance Training Only, and Resistance Training + Diet groups for each month across the
duration of the study. * denotes significant linear trend
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Figure 3. Effect of experimental conditions on changes in fat mass in Diet Only, Resistance
Training Only, and Resistance Training + Diet groups for each month across the duration of the
study. * denotes significant linear trend
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
Figure 4. Effect of experimental conditions on changes in lean mass in Diet Only, Resistance
Training Only, and Resistance Training + Diet groups for each month across the duration of the
study. * denotes significant linear trend
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Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
TABLE 1: Outcomes for all variables across time (mean ± SD)
Outcome
Group
Month 0
Month 2
Month 4
Body Weight
(kgs)*
Control
86.0 ± 15.2
86.8 ± 18.0
Diet**
82.0 ± 11.3
80.3 ± 10.3
79.7 ± 10.2
Training
85.9 ± 15.3
86.1 ± 15.3
88.3 ± 16.0
Training +
Diet**
91.1 ± 4.4
89.5 ± 4.6
88.0 ± 4.0
Percent Fat*
Control
43.0 ± 6.0
43.3 ± 6.5
Diet**
44.0 ± 4.4
42.9 ± 4.2
42.2 ± 4.0
Training**
44.3 ± 6.0
42.9 ± 5.7
43.1 ± 6.6
Training +
Diet**
45.3 ± 4.7
43.8 ± 4.6
43.3 ± 4.5
Fat Mass
(kgs)*
Control
37.5 ± 10.5
38.1 ± 12.1
Diet**
36.4 ± 7.9
34.7 ± 7.0
33.9 ± 6.8
Training
38.6 ± 11.0
37.4 ± 10.5
38.6 ± 11.7
Training +
Diet**
41.3 ± 5.1
39.2 ± 5.1
38.0 ± 4.4
Lean Mass
(kgs)
Control
45.9 ± 6.9
46.0 ± 8.0
Diet
43.0 ± 4.6
43.0 ± 4.7
43.1 ± 4.6
Training**
44.7 ± 6.4
46.0 ± 6.7
46.9 ± 6.5
Training +
Diet
47.1 ± 4.5
47.6 ± 4.4
47.1 ± 4.7
BMC (kgs)
Control
2.7 ± 0.3
2.7 ± 0.3
Diet
2.7 ± 0.4
2.7 ± 0.4
2.7 ± 0.5
Training
2.7 ± 0.5
2.7 ± 1.0
2.7 ± 0.5
Training +
Diet
5.9 ± 0.4
5.9 ± 0.4
5.9 ± 0.3
VAT (kgs)
Control
0.9 ± 0.4
1.0 ± 0.5
Diet
0.8 ± 0.5
0.7 ± 0.4
0.7 ± 0.4
Training
0.8 ± 0.5
0.8 ± 0.6
0.9 ± 0.6
Training +
Diet
0.9 ± 0.4
0.9 ± 0.4
0.8 ± 0.3
RMR (kcal/d)
Control
1494 ± 193
1624 ± 301
Diet
1484 ± 232
1563 ± 216
Training
1525 ± 174
1544 ± 190
Training +
Diet
1595 ± 334
1673 ± 175
* = significant group x month interaction (P < 0.05)
** = significant linear time trend within group (P < 0.05)
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Resistance Training Combined With Diet Decreases Body Fat While Preserving Lean Mass Independent of Resting Metabolic
Rate: A Randomized Trial” by Miller T et al.
International Journal of Sport Nutrition and Exercise Metabolism
© 2017 Human Kinetics, Inc.
TABLE 2: Self-Reported Dietary Intake of Energy and Macronutrients for Each Month of the
Study (mean ± SD)
Aggregate Dietary Data
Diet Only
Diet + Training
Kcal
1419 ± 183
1505 ± 223
Protein (g)
114 ± 21
120 ± 23
Carbohydrate (g)
145 ± 24
159 ± 22
Fat (g)
42 ± 5
41 ± 7
Dietary Data by Month
Month 1
Month 2
Month 3
Month 4
Kcal
Diet
1439 ± 104
1441 ± 179
1397 ± 294
1401 ± 186
Diet+Training
1467 ± 319
1574 ± 211
1533 ± 219
1448 ± 198
Protein (g)
Diet
108 ± 17
116 ± 20
110 ± 34
108 ± 23
Diet+Training
118 ± 27
130 ± 20
122 ± 27
112 ± 29
arbohydrate (g)
Diet
147 ± 18
147 ± 27
143 ± 32
143 ± 25
Diet+Training
154 ± 36
165 ± 23
164 ± 32
154 ± 25
Fat (g) *
Diet**
46 ± 5
42 ± 6
40 ± 8
42 ± 5
Diet+Training
39 ± 8
42 ± 8
42 ± 7
41 ± 6
* = significant group x month interaction (P < 0.05)
** = significant linear time trend within group (P < 0.05)
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... However, EE calculations for single exercises, and acute changes to metabolic rate are not necessarily indicative of longer-term reductions in fat loss and body composition changes-potentially due to other lifestyle factors and behavioral compensation resulting in ~55-64% less weight loss than expected (Dhurandhar et al., 2015). Further, (Miller et al., 2018) reported reductions in fat mass by both diet and diet +RT groups. However, lean mass increased following RT only, and these changes did not significantly affect resting EE. ...
... H0d: There will be no difference between HL and LL resistance training interventions on change in fat mass-upper or lower bound of the 95% confidence interval for between condition effect will include zero H1d: There will be a difference between Hl and LL resistance training interventions on change in fat mass-upper and lower bound of the 95% confidence interval for between condition effect will exclude zero Equivalence H0e: The difference between HL and LL resistance training interventions on change in fat mass will differ from the smallest effect size of interest-upper and lower bound of the 90% confidence interval for between condition effect will be outside of or include the upper or lower limits of smallest effect size of interest H1e: The difference between HL and LL resistance training interventions on change in fat mass will be equivalent to the smallest effect size of interest-upper and lower bound of the 90% confidence interval for between condition effect will be inside the upper or lower limits of smallest effect size of interest The smallest effect size of interest for change in fat mass was determined as 3.3% loss of baseline body weight as fat mass based upon recommendations from American College of Sports Medicine Position Stand regarding weight loss (Donnelly et al., 2009) and that a previous study using a similar RT and dietary intervention over a ~4-week period found similar results (Miller et al., 2018). A linear mixed effect model was fit using the "lme4" package (Bates et al., 2015) and which was essentially a within participant extension of an analysis of covariance model with adjustment for baseline measures. ...
... Analyses revealed no between-condition differences for reductions in fat mass or change in body fat percentage, and further that the difference between conditions for fat mass was statistically equivalent given our smallest effect size of interest. This suggests that any previously identified difference in EE during-or postresistance exercise resulting from heavier-or lighter-load training (Brunelli et al., 2019;Scott et al., 2011), does not translate to differences in reduction of fat mass ( Donnelly et al., 2009;Miller et al., 2018). As a 4-week intervention period the present findings for fat mass and body fat percentage reductions are smaller than that reported for the first month of previous research considering diet and resistance training (e.g., −1.4 kg, and −1. ...
Article
Purpose: To date no studies have compared resistance training loading strategies combined with dietary intervention for fat loss. Methods: Thus, we performed a randomised crossover design comparing four weeks of heavier- (HL; ~80% 1RM) and lighter-load (LL; ~60% 1RM) resistance training, combined with calorie restriction and dietary guidance, including resistance trained participants (n=130; males=49, females=81). Both conditions performed low-volume, (single set of 9 exercises, 2x/week) effort matched (to momentary failure), but non-work-matched protocols. Testing was completed pre- and post-each intervention. Fat mass (kg) was the primary outcome, and a smallest effect size of interest (SESOI) was established at 3.3% loss of baseline bodyweight. Body fat percentage, lean mass, and strength (7-10RM) for chest press, leg press, and pull-down exercises were also measured. An 8-week washout period of traditional training with normal calorie interspersed each intervention. Results: Both interventions showed small statistically equivalent (within the SESOI) reductions in fat mass (HL: -0.67 kg [95%CI -0.91 to 0.42]; LL: -0.55 kg [95%CI -0.80 to -0.31]) which were also equivalent between conditions (HL – LL: -0.113 kg [95%CI -0.437 kg to 0.212 kg]). Changes in body fat percentage and lean mass were also minimal. Strength increases were small, similar between conditions, and within a previously determined SESOI for the population included (10.1%). Conclusions: Fat loss reductions are not impacted by resistance training load; both HL and LL produce similar, yet small, changes to body composition over a 4-week intervention. However, the maintenance of both lean mass and strength highlights the value of resistance training during dietary intervention.
... (1) supervivencia realizando las funciones primarias del organismo . El principal órgano responsable de la regulación del metabolismo es el hipotálamo, el cual influye sobre el metabolismo basal mediante actividades como el control de la actividad del sistema nervioso autónomo, regulación de la(2) temperatura así como de los sentimientos de enojo y agresividad , regulación de la ingesta de alimentos por medio de los centros de hambre en función de la cantidad de alimentos consumidas y de(3) las hormonas grelina y leptina ; y los centros de la sed, en función de las variaciones de la presión(4) osmótica extracelular . La TMB es directamente proporcional a la masa magra, la cual es la cantidad de masa corporal libre de tejido adiposo, en consecuencia, mientras mayor sea la masa magra, mayor(5) será la TMB . ...
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Objetivo: analizar la correlación y variaciones en los niveles de la tasa metabólica basal (TMB) con la presión arterial sistólica y diastólica en adultos normotensos e hipertensos de la población peruana. Metodología: se realizó un estudio observacional, analítico, retrospectivo y transversal en base a datos de la encuesta nacional demográfica y de salud-2022 (ENDES) que estuvo conformada por 18032 mujeres y 13646 hombres mayores de 18 años. Las variables fueron: sexo, TMB, presión arterial sistólica y diastólica. Se realizó la prueba chi-cuadrado, t de Student, Odds ratio crudo y ajustado por regresión logística binaria y la correlación de Spearman. Resultados: las mujeres con presión sistólica alta tuvieron una tasa TMB de 1130 mientras que en normotensas fue de 1246. Las mujeres con TMB baja tuvieron hipertensión con mayor frecuencia que las mujeres con TMB normal. En hombres, la hipertensión se presentó con mayor frecuencia en el grupo de TMB normal. En adultos hipertensos, la presión sistólica y la TMB se correlacionaron baja y negativamente, siendo más negativa en mujeres, mientras que la presión diastólica se correlacionó baja y positivamente en ambos sexos, siendo mayor en mujeres. En normotensos, la correlación entre presión sistólica y TMB fue muy baja y positiva en mujeres, mientras que en hombres fue baja y positiva mientras que la correlación entre presión diastólica y TMB fue baja y positiva en ambos sexos. Conclusiones: la TMB baja se asocia a hipertensión en mujeres, mientras que en hombres la hipertensión está asociada a una TMB normal. Asimismo, la TMB se correlaciona negativamente con la presión arterial en hipertensos y positivamente en normotensos de la población peruana.
... There was, however, no significant mean difference in fat mass between the resistance training group and the combined training group. However, compared to past studies [21,26,27], the results reveal that the combined group reduced more body fat than the resistance training group. ...
... There was, however, no significant mean difference in fat mass between the resistance training group and the combined training group. However, compared to past studies [21,26,27], the results reveal that the combined group reduced more body fat than the resistance training group. ...
... There was, however, no significant mean difference in fat mass between the resistance training group and the combined training group. However, compared to past studies [21,26,27], the results reveal that the combined group reduced more body fat than the resistance training group. ...
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This study investigated the effects of combined aerobic and heavy resistance training on the variables of body composition, muscle hypertrophy, and exercise satisfaction in physically active adults in comparison with heavy resistance training only (predominantly designed for hypertrophy). Twenty-two healthy male adults between the ages of 18 and 35, who had limited previous experience with muscle resistance training, participated in the intervention program while maintaining their physical activity level. The participants were randomly allocated into two groups: the resistance training group (control group) and the combined training group (experimental group), which involved both resistance training and aerobic training. Aerobic training consisted of 30 min aerobic interval training sessions three times a week with a total of 8 min work bouts in each at 60–70% of heart rate reserve (HRR). The intervention training program lasted for eight weeks. Resistance training consisted of a 3-day muscle group split (2–3 exercises per muscle group, 8 sets per muscle group, 6–12 repetition maximum (RM). Upon completion, body composition, muscle hypertrophy, and exercise satisfaction were analyzed using the mixed-design ANOVA. Variables selected for this study as markers of body composition responded differently to the different interventions and time; however, some trends were not statistically significant. Overall, it is not possible to state unequivocally that one training modality was superior to another in the body composition cluster, for significant improvements were observed within the groups from pre- to post-interventions, but no significant differences were observed between the resistance training and combined training groups, while, both interventions showed improvement with time in some variables of muscle hypertrophy. Compared to baseline, the exercise satisfaction post-intervention improved within the groups. From pre- to post-testing, both resistance and combined training groups improved exercise satisfaction (p < 0.05 in both groups). However, there was no significant difference in exercise satisfaction observed between the resistance training and combined training groups after the training intervention (p > 0.05).
... Many prior studies have shown the efficacy of resistance training in improving body composition, namely through decreased body fat and maintained/gained lean muscle [29]. Interestingly, while both groups experienced a significant reduction in fat loss and body fat %, the IVR group's losses were nearly two-fold greater than the SELF's. ...
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Exergaming, combining elements of video game into the realm of exercise, has recently incorporated immersive virtual reality (IVR) with resistance training. Thirty-two participants (14 females, mean age = 24.3) were randomized to IVR or self-directed control group (SELF) and worked out thrice weekly for 12 weeks (for 36 sessions). The IVR group spent 14 fewer minutes per session (p < 0.001) while reporting the sessions “enjoyable’. Compared to SELF, the IVR group had significantly greater improvement in changes from baseline to post-training in upper-and-lower muscular strength (1-RM) and muscular endurance (85% 1-RM) (14.3 kg vs. 10.0 kg for 1-RM upper, 28.6 kg vs. 22.5 kg for 1-RM lower, 2.6 reps vs. 1.9 reps for 85% 1-RM of upper, 2.7 vs. 2.0 reps for 85% 1-RM of lower, all p < 0.001), peak leg power (1424 vs. 865 W, p < 0.001), body fat% (−3.7% vs. −1.9%, p < 0.001), heart rate variability (4.3 vs. 1.8 ms, p < 0.001), rVO2max (3.28 vs. 0.89 mL/min/kg, p < 0.001) with decreased systolic BP (−0.4 vs. −2.3 mmHg, p < 0.001), and level of perceived exertion during workouts (RPE 14 vs. 16, p < 0.001). With its high-paced and action-filled gaming coupled with superior fitness and cardiometabolic outcomes, this IVR exergaming platform should be considered as another exercise modality for performance and health-related training.
... Furthermore, there may be an underlying lipid metabolism, which may explain the differences between the coordination effects of the exercise (48). Previous investigations have demonstrated that detectible changes in exercise combined with dietary restriction can be used to reduce weight loss and sustain long-term weight loss compared to calorie restriction only (49,50). In this study, we found that the improvement in body composition changes were small utilizing HIIT in isolation over the short term, but under the condition of calorie restriction, HIIT could lead to more fat loss. ...
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Background: Intermittent energy restriction (IER) and continuous energy restriction (CER) are increasingly popular dietary approaches used for weight loss and overall health. These energy restriction protocols combined with exercise on weight loss and other health outcomes could achieve additional effects in a short-term intervention. Objectives: To evaluate the effects of a 4-week IER or CER program on weight, blood lipids, and CRF in overweight/obese adults when combined with high-intensity interval training (HIIT). Methods: Forty-eight overweight/obese adults [age: 21.3 ± 2.24 years, body mass index (BMI): 25.86 ± 2.64 kg⋅m-2] were randomly assigned to iER, cER, and normal diet (ND) groups (n = 16 per group), each consisting of a 4-week intervention. All of the groups completed HIIT intervention (3 min at 80% of V̇O2max followed by 3 min at 50% of V̇O2max ), 30 min/training sessions, five sessions per week. iER subjects consumed 30% of energy needs on 2 non-consecutive days/week, and 100% of energy needs on another 5 days; cER subjects consumed 70% of energy needs; and ND subjects consumed 100% of energy needs. Body composition, waist circumference (WC) and hip circumference (HC), triglyceride (TG), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-c), high-density lipoprotein-cholesterol (HDL-c), and cardiorespiratory fitness (CRF) were measured before and after the intervention. Results: Of the total 57 participants who underwent randomization, 48 (84.2%) completed the 4-week intervention. After intervention body composition and body circumference decreased in three groups, but no significant differences between groups. The iER tends to be superior to cER in the reduction of body composition and body circumference. The mean body weight loss was 4.57 kg (95% confidence interval [CI], 4.1-5.0, p < 0.001) in iER and 2.46 kg (95% CI, 4.1-5.0, p < 0.001) in iER. The analyses of BMI, BF%, WC, and HC were consistent with the primary outcome results. In addition, TG, TC, HDL-c, and CRF improved after intervention but without significant changes (p > 0.05). Conclusion: Both IER and CER could be effective in weight loss and increased CRF when combined with HIIT. However, iER showed greater benefits for body weight, BF%, WC, and HC compared with cER.
... Moreover, consumption of saffron can be related to insulin regulation and blood glucose and weight loss improvement [45,46]. Resistance training has significantly affected weight gain [34] and acts as a means of free-fat mass enhancement resulting in improved body composition [47]. Furthermore, there is a paucity of research evaluating the effects of resistance (Table 2) training on weight loss. ...
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... For instance, resistance training has been shown to increase muscular strength, [5][6][7][8][9][10][11][12][13], muscular endurance [7,11,12], and muscular cross-sectional area (CSA) [9,[13][14][15][16] in a wide variety of populations. Further, bone mineral density (BMD) is improved [17][18][19][20][21][22] and body composition is enhanced with gains in lean muscle and decreases in body fat [16,[23][24][25][26] when participants regularly perform resistance training across the lifespan. Using body weight movements, evidence has shown that balance [5,[27][28][29][30][31][32][33][34][35][36][37][38] can also be improved through exercise. ...
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