Journal of Obesity & Metabolic Syndrome



J Obes Metab Syndr 2019; 28(4): 278-294

Published online December 30, 2019

Copyright © Korean Society for the Study of Obesity.

Effects of Exercise on the Body Composition and Lipid Profile of Individuals with Obesity: A Systematic Review and Meta-Analysis

Kyoung-Bae Kim1, Kijin Kim2, Changsun Kim3, Suh-Jung Kang4, Hyo Jeong Kim5, Seok Yoon6, Yun-A Shin7,*

1Department of Physical Education, Korea Military Academy, Seoul; 2Department of Physical Education, College of Physical Education, Keimyung University, Daegu; 3Department of Physical Education, Dongduk Women’s University, Seoul; 4Department of Sports and Health Management, Sangmyung University, Seoul; 5Department of Sport and Healthy Aging, Korea National Sport University, Seoul, Korea; 6Department of Sport Science, Chowan University, Murfreesboro, NC, USA; 7Department of Prescription and Rehabilitation of Exercise, College of Sport Science, Dankook University, Cheonan, Korea

Correspondence to:
Yun-A Shin
Department of Prescription and Rehabilitation of Exercise, College of Sport Science, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan 31116, Korea
Tel: +82-41-550-3831 Fax: +82-41-550-3831 E-mail:

Received: May 29, 2019; Reviewed : July 10, 2019; Accepted: October 30, 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Numerous researchers have worked to develop treatments for obesity; however, the prevalence of obesity continues to increase in many countries. Moreover, the effects of physical activity and exercise on obesity remain unclear. Therefore, it is necessary to perform a systematic review and meta-analysis to assess the relationship between exercise and obesity using mediator variables such as the mode of exercise.


Our review focuses on research tracking the effects of exercise on obesity conducted from 2007 to 2016 and available in any of three databases: Embase, PubMed, and EBSCO Academic Search Premier. The keywords used in the search were “exercise and obesity” and “exercise and obese.”


The average size of the effects that exercise interventions have on body mass index (standardized mean difference [SMD], 0.533), waist circumference (SMD, 0.666), total cholesterol (SMD, 0.721), and triglyceride (TG; SMD, 0.603) were medium or larger. Exercise had greater effects on the outward appearance of obesity (body mass index, waist circumference) than on its practical factors (weight, % body fat). The effect of exercise on TG (SMD, 0.603) was larger than that on low-density lipoprotein (SMD, 0.406) and high-density lipoprotein (SMD, −0.222). Exercise duration (weeks of exercise) and intensity correlate better than exercise time (minutes per week) with a large and consistent improvement in adult obesity.


We suggest that individuals with obesity should exercise consistently to achieve significant improvements in their health.

Keywords: Obesity, Exercise mode, Body composition, Lipid profile, Meta-analysis

Obesity is a direct and indirect cause of serious chronic diseases such as hypertension, diabetes, heart disease, and cancer. Many studies during the past few decades have sought solutions to the problem of obesity. Despite those efforts, however, the prevalence of obesity has increased in many countries. In the attempt to fundamentally improve obesity treatment, many new detailed approaches have emerged.

Recent studies have described several interventions for obesity, including diet, physical activity or exercise, behavioral therapy, and medication. Among the various behavioral strategies, exercise interventions can provide effective weight maintenance, weight loss, weight maintenance after loss, and reduction of obesity. However, exercise alone has a limited effect on the body weights of individuals with obesity.1 Furthermore, the guidelines for how much physical activity and exercise are needed to improve health are widely known to the public as well as researchers, but they are too general to specifically address obesity, and the effects are variable and often inconsistent. Thus, it is necessary to understand the magnitude of the effects that physical activity or exercise interventions have on obesity.

Most reviews that have examined the relationship between exercise and obesity have considered only a partial range of factors. For example, the study of Witham and Avenell2 included only participants with a mean age ≥60 years. The meta-analysis of Türk et al.3 considered only randomized controlled trials (RCTs) that used high intensity exercise with obese patients aged 18 to 60 years. Furthermore, they did not consider the influence of exercise mode (intensity, time, frequency, duration) in their mediation analysis.

Because a systematic review and meta-analysis can statistically integrate multiple independent study variables by their effect sizes for a particular issue and infer overall conclusions, it is a useful strategy in this situation. If we know the average effect size of exercise intensity, time, frequency, and duration in improving obesity, we will be able to concretely establish how different interventions influence the dependent variables, especially weight, body composition, and lipid profile. Therefore, we here include studies of adult subjects to assess the relationship between exercise and obesity using mediator variables. Our purpose in this study was to examine the effectiveness of exercise in terms of time, duration, intensity, and the exercise itself in adults with obesity.

Search strategy and eligibility criteria

We conducted a literature search of three databases: Embase (, PubMed (, and EBSCO Academic Search Premier (, to obtain a comprehensive list of studies from 2007 to 2016 that examined the effects of exercise on obesity. The keywords we used were “exercise and obesity” and “exercise and obese.” After the initial online search, we selected only RCTs and removed duplicate studies using the EndNote program (Thomson Reuters Co., Toronto, Canada).

At the screening stage, we used the participants, interventions, comparisons, outcomes, timing of outcome measurement, settings, study design (PICOTS-SD) frame to determine the scope of the literature.4 Three reviewers (professors with expertise in the area of physical exercise and exercise physiology) screened the titles and abstracts of 4,106 studies based on the inclusion criteria and PICOTS-SD and selected 726 studies. To increase the accuracy of the screening, two other reviewers (professors with expertise in the area of physical exercise and exercise physiology) screened those 726 studies and selected 109 studies. The screening process is summarized in a flowchart (Supplementary Fig. 1): participants: adults with obesity (body mass index [BMI], ≥30 kg/m2; age, 18–65 years); intervention: exercise; comparison: routine care, diet therapy, etc.; outcome: body composition, lipid profile, etc.; time: pre- and post-test studies; study design: RCT.

Full-text articles were then assessed for eligibility. Articles were eliminated if inadequate intervention conditions (e.g., improper control conditions) or insufficient statistical data (e.g., partial or not present) were reported and if weight loss and maintenance for adults with obesity were not the primary focus of the study (e.g., analysis of functional capacity after gastric bypass surgery, breast cancer research). In the end, 64 studies were selected for this systematic review and meta-analysis, and all of them were published in English.

Data extraction and quality assessment

For the meta-analysis of exercise interventions in adults with obesity, we extracted body composition (weight, BMI, % body fat, waist circumference) and lipid profile (total cholesterol [TC], triglycerides [TGs], low-density lipoprotein [LDL], and high-density lipoprotein [HDL]) data in the form of the mean, standard deviation, and sample sizes for both the treatment and control groups at pre- and post-test. In addition, to analyze the moderator variable effects, we extracted diet control (with or without diet), exercise time (from <60 to 450 minutes per week), duration (from ≤4 to 48 weeks), and intensity (low, moderate, vigorous, and high) data about the exercise interventions.

The quality of all studies was assessed using the Physiotherapy Evidence-based Database scale (PEDro) as rated by two authors in this study. The total PEDro score was derived by adding all scale items except for item 1 and specifying the eligibility criteria.4 The quality of the studies was assessed using four PEDro score categories: excellent (9–10), good (6–8), fair (4–5), and fail (≤3).5 In this study, we considered only studies that scored more than 6 points. Disagreements were resolved by discussion.

Reviewer agreement

Three reviewers (CK, SK, HJK) independently screened the titles and abstracts for eligibility. Agreement among the reviewers was assessed using the kappa statistic.4 The three kappa statistics for the three reviewers (KA_B, KB_C, and KC_A) were 0.765 (95% confidence interval [CI], 0.568–0.883), 0.788 (95% CI, 0.644–0.932), and 0.702 (95% CI, 0.531–0.873), respectively. After the secondary screening by two other reviewers (KBK, YAS), another kappa statistic (KD_E) was obtained and determined to be 0.766 (95% CI, 0.557–0.976). According to Landis & Koch’s guidelines,6 all the kappa values indicated substantial agreement, and they were at all acceptable within Fleiss’s guidelines.7

Statistical analysis

The meta-analysis and meta-analysis of variance (meta-ANOVA) were performed using R version 3.5.2 ( The random effects model for computation of the mean effect size was assumed because we considered heterogeneous effect sizes among the studies, including this systematic review and meta-analysis. The moderator variable effects were analyzed by meta-ANOVA. Consecutive variables of the moderator were converted into categorical variables for the meta-ANOVA.

Publication bias and heterogeneity

Publication bias, often called the file-drawer effect because unpublished results are imagined to be tucked away in researchers’ file cabinets, is a potentially severe impediment to combining the statistical results of studies collected from the literature. To consider publication bias, we used Begg’s funnel plots and Egger’s regression test with a significance level of 0.10.

Heterogeneity was tested using I2 values, and the extent of heterogeneity was estimated as follows: low (25%), moderate (50%), and high (75%) I2 values.8 For the meta-analysis, the standardized mean difference (SMD) was considered as the mean effect size, and the 95% CI and I2 value were obtained using forest plots. The effect sizes were interpreted using Cohen’s criteria: small (0.20), medium (0.50), and large (0.80).8

We included 64 articles in this systematic review and meta-analysis study. Twenty-nine articles had only one comparison between the experimental and control groups, and 35 articles had several (2–5) comparisons. Therefore, the total number of cases for comparison was 109. Table 1 presents the characteristics of the studies included in this meta-analysis.972

Characteristics of the included studies

The characteristics of the 64 included studies are presented in Table 1. Overall, 5,025 subjects were included in these studies, and the groups ranged in size from 5 to 118 subjects. All studies were published between 2007 and 2017, though the search period represented 10 years (2007–2016).

There were 29 studies with diet control and 35 studies without it. The exercise time per week for the interventions ranged from 20 to 450 minutes, with an average time of 153.3 minutes. The exercise duration varied between 2 and 48 weeks, with an average time of 16.5 weeks. The exercise intensity was classified into four categories (low, moderate, vigorous, and high) using the American College of Sports Medicine (ACSM) Guidelines for Exercise Testing and Prescription.73 The ACSM’s Foundations of Strength Training and Conditioning classifies the percent 1 repetition maximum (%1RM) as supramaximal (>100%), very heavy (95%–100%), heavy (90%–95%), moderately heavy (80%–90%), moderate (70%–80%), light (60%–70%) and very light (<60%).74 In this study, we used low (<70%), moderate (70%–<80%), vigorous (80%–<90%), and high (≥90%) (Supplementary Table 1). The PEDro scores of all the included studies varied between 6 and 9 points, with an average of 6.52 points (standard deviation, 0.69).

Effects of exercise on body composition and lipid profiles

We used the SMD as the effect size of each study and present the 95% CI of the SMD and I2 value as a measure of heterogeneity in Table 2. Heterogeneity in the effect of exercise on weight in 89 studies was high (I2=75.9%), with an average SMD of 0.358 in the range from 0.213 to 0.503. Thus, the average effect size was between small and medium. Heterogeneity in the effect of exercise on BMI in 78 studies was high (I2=84.8%), with an average SMD of 0.533 in the range from 0.349 to 0.716. Thus, the average effect size was medium. Heterogeneity in the effect of exercise on % body fat in 47 studies was moderate (I2=44.3%), with an average SMD of 0.379 in the range from 0.246 to 0.512. Thus, the average effect size was between small and medium. Heterogeneity in the effect of exercise on waist circumference in 75 studies was high (I2=84.1%), with an average SMD of 0.666 in the range from 0.478 to 0.854. Thus, the average effect size was between medium and large.

Heterogeneity in the effect of exercise on TC in 35 studies was high (I2=94.5%), with an average SMD of 0.721 in the range from 0.228 to 1.214, for an almost large average effect size. Heterogeneity in the effect of exercise on TG in 56 studies was high (I2=92.2%), with an average SMD of 0.603 in the range from 0.257 to 0.949, for a medium to large average effect size. Heterogeneity in the effect of exercise on LDL in 49 studies was above moderate (I2=65.3%), with an average SMD of 0.406 in the range from 0.238 to 0.573, for a small to medium average effect size. Heterogeneity in the effect of exercise on HDL in 57 studies was high (I2=88.7%), with an average SMD of −0.222 in the range from −0.495 to 0.052, for a small average effect size.

One result (% body fat) from the meta-analysis is presented as a forest plot (Fig. 1) because it was the only result that met both the statistical significance and heterogeneity criteria (I2<50%) (Table 2).

With respect to the Egger’s regression test for publication bias, the P-value was statistically significant for % body fat (t=3.11, df=45, P=0.003), waist circumference (t=1.95, df=73, P=0.055), and HDL (t=−4.58, df=55, P=0.019). The P-values for the remaining variables (weight, BMI, TC, TG, and LDL) were not significant. The funnel plot was somewhat asymmetric with respect to % body fat (Supplementary Fig. 2), though the regression model resulting from Egger’s regression test for % body fat was satisfactory.

Effects of moderators on exercise and obesity

The meta-ANOVA results showing the effects of the moderators on exercise, obesity, and body composition are shown in Table 3. The average SMD in the studies with diet control was higher than in those with no diet control (except for % body fat). Regardless of diet, the average SMDs for BMI and waist circumference were close to or above medium (0.452–0.761).

The average SMD for minutes of exercise per week did not yield a specific pattern, possibly because the small number of studies caused inconsistent results. The average SMD for an exercise duration of 12 weeks was close to or above medium for all 4 variables (weight, BMI, % body fat, waist circumference). This was especially the case for BMI (0.911) and waist circumference (0.910), which had large average SMDs.

The average SMD for exercise intensity was between 0.043 (% body fat) and 0.609 (BMI) for the low intensity case, 0.346 (weight) and 0.874 (waist circumference) for the moderate intensity case, and 0.293 (weight) and 0.613 (waist circumference) for the vigorous intensity case; no studies used high intensity exercise. The average SMD for the moderate intensity case was higher than that for the low and vigorous cases for BMI, % body fat, and waist circumference. Only with respect to weight was the average SMD higher at low intensity.

The meta-ANOVA results for the effects of the moderators on exercise, obesity, and lipid profile are shown in Table 4. The average SMD for diet treatment was above medium for TC (0.825) and TG (0.772). The average SMD for HDL was smaller than that for the other factors. The average SMD for exercise time per week was above medium and ranged from −0.506 (HDL) to 0.709 (TG) for 120 to 149 minutes of exercise per week. Similar to the results for body composition, the average SMD for exercise time per week did not appear to follow a specific pattern as exercise time increased. For this attribute also, the number of studies was small, which might have caused inconsistent results.

The average SMD for the effect of exercise duration on TC and TG increased rapidly from 12 weeks. The average SMD at 36 weeks was very large and ranged from −0.993 (HDL) to 2.585 (TG).

The average SMD for exercise intensity was between −1.675 (HDL) and 1.191 (TG) for the low intensity case, −0.023 (HDL) and 0.506 (LDL) for the moderate intensity case, and −0.285 (HDL) and 0.410 (TG) for the vigorous intensity case. The average SMD for the low intensity case was far greater than that of the other cases. The meta-ANOVA results for one variable (% body fat) are presented in the form of a forest plot (Fig. 2).

For this study, we performed a systematic review and meta-ANOVA to examine the effect of exercise on both the body composition and lipid profiles of adults with obesity. According to Table 2, the average effect size of exercise on BMI (SMD, 0.533), waist circumference (SMD, 0.666), TC (SMD, 0.721), and TG (SMD, 0.603) was above medium. The average effect size on weight (SMD, 0.358), % body fat (SMD, 0.379), LDL (SMD, 0.406), and HDL (SMD, −0.222) was below medium. The heterogeneity of most of the dependent variables was high (I2=75.9%–94.5%), except for LDL (I2=65.3%) and % body fat (I2=44.3%). The heterogeneity of % body fat was the only variable that was below moderate. These results indicate that the effects of exercise interventions on outward appearance, such as BMI and waist circumference, are larger than the effects on practical factors of obesity such as weight and % body fat. Moreover, the effect of exercise on TG (SMD, 0.603) was larger than that on LDL (SMD, 0.406) and HDL (SMD, −0.222).

The results of the publication bias analysis were statistically significant for % body fat, waist circumference, and HDL. In other words, the studies used in this meta-analysis adequately represent the population only for those three factors. With respect to the effects of the moderators on diet control, the SMDs for the cases with diet treatment were larger than those without diet control, as indicated by the weight, BMI, waist circumference, TC, and TG variables. Conversely, the SMDs with diet treatment were lower than those without diet control with respect to % body fat, LDL, and HDL. In a meta-analysis by Vissers et al.,75 supervised exercise-only interventions had a greater effect than combined diet and exercise interventions. In a meta-analysis by Wu et al.,76 a combined diet and exercise program provided greater long-term weight loss than a diet-only program. However, they concluded that both the diet-only and diet and exercise programs were associated with partial weight regain and that future studies should seek strategies to limit weight regain and achieve greater long-term weight loss.

In studies that considered the effects of moderators on exercise time per week, a medium or large SMD emerged for both body composition and lipid profile in programs that used more than 120 minutes of exercise per week. The ACSM’s guidelines for exercise testing and prescription recommend a minimum of 150 min·wk−1 (30 min·day−1) progressing to 300 min·wk−1 (60 min·day−1) of moderate intensity exercise for overweight and obese individuals.73 Every study we considered here used a different combination of exercise intensity and duration.

An exercise duration of more than 8 weeks produced a medium or large SMD for body composition, as did a duration of 12 or more weeks for lipid profile. The ACSM’s guidelines for exercise testing and prescription recommend a minimum reduction in initial body weight of 5%–10% over the course of 3–6 months for overweight and obese individuals.73 Furthermore, the “2018 Korean Society for the Study of Obesity Guideline for the Management of Obesity in Korea”74 states, “Physical activity is necessary for weight loss and maintenance. At the start, more than moderate physical activity is recommended. Moderate levels of physical activity include exercising between 30 minutes and 60 minutes five times per week. When including resistance exercise, it is recommended to engage in physical activity twice per week.”

In this study, the average SMDs for weight loss by exercise duration were 0.237, 0.455, and 0.576 for 8–11 weeks, 12–15 weeks, and 16–19 weeks, respectively. In other words, the effect size was above medium after exercising for 16 weeks (4 months). Future studies should analyze both the rate of change in body weight and exercise duration together.

By exercise intensity, a medium or large SMD was observed in most cases with low and moderate intensity. Only waist circumference had an SMD above medium for vigorous intensity exercise. In a meta-analysis by Türk et al.,3 training at high intensity was found to be superior to moderate exercise in reducing % body fat in obese adults. That result is supported by some recent studies, but not by others. For example, a study by Keating et al.77 showed that high intensity interval training (HIIT) could improve fitness levels with only 50%–60% of the time commitment required by continuous aerobic exercise training (CONT). However, the CONT group showed a reduction in total body fat, whereas the HIIT group did not. In addition, Kemmler et al.78 found that HIIT provided more weight loss than moderate intensity continuous exercise(MICE) but produced no difference in body fat mass. Auriemma79 explained that the available studies on HIIT in overweight and obese patients remain limited by their short duration, small number of participants, and variation in the intensity and duration of their “on” intervals. Researchers should also consider the risk of potential injuries, even though more vigorous exercises might provide additional benefits.73

In conclusion, our novel finding is that the effect of exercise on obesity is larger in outward appearance (BMI, waist circumference) than in practical factors (weight, % body fat). Moreover, the effect of exercise on TG was larger than that on LDL and HDL. With respect to exercise mode, the effects of exercise duration and intensity are more consistent and larger among obese adults than the effects of exercise time (minutes per week).

The limitations of this study include the generalization of the findings due to the small sample sizes in some of the studies, heterogeneity, and publication bias in the analysis of some variables. Some cases had very large SMDs with very small sample sizes. In future reviews, the number of studies included for each moderator effect analysis must be adequate to satisfy the normality of the statistical inference.

Study concept and design: KBK; acquisition of data: KK, CK, SJK, and HJK; analysis and interpretation of data: KBK and YAS; drafting of the manuscript: KBK and SY; critical revision of the manuscript: KBK and YAS; statistical analysis: KBK; administrative, technical, or material support: KBK and YAS; and study supervision: KK and YAS.

Fig. 1. Forest plot of % body fat. The meta-analysis result of % body fat is presented because only % body fat met both the statistical significance and heterogeneity criteria (I2 <50%). “Total” in the figure indicates the number of subjects. Thirteen articles had several (2–5 pieces) comparisons, and each comparison was presented independently in the plot. SD, standard deviation; SMD, standardized mean difference; CI, confidence interval.
Fig. 2. Forest plot of % body fat by exercise time (minutes per week). The average standardized mean difference (SMD) for exercise time per week did not yield a specific pattern as the exercise time increased, possibly because of the small number of studies. “Total” in the figure indicates the number of subjects. Sixteen articles had several (2–5 pieces) comparisons, and each comparison was presented independently in the plot. SD, standard deviation; CI, confidence interval.

The characteristics of the studies included in the systematic review and meta-analysis

Author (year)GroupNAge (yr)Exercise typeFrequency (day/wk)Time (min)Duration (wk)IntensityDiet control
Herring et al. (2017)9EXP1244.3±7.9Aerobic and resistance training36012, 2464%–77% MHR, 60% 1RM

Marcon et al. (2017)10EXP 12243.4±2.3Aerobic and stretching exercise22519RPE 2–4×
EXP 21750.1±2.8Aerobic and stretching exercise22519RPE 2–4

Zhang et al. (2017)11EXP 17353.2±7.1Vigorous/moderate exercise150/wk12 moVigorous/moderate×
EXP 27354.4±7.4Moderate exercise150/wk12 moModerate×

Ash et al. (2017)12EXP 1639.7±4.9Aerobic exercise345860% VO2 peak×
EXP 2543.4±5.3Isometric handgrip38830% MVC×

Freitas et al. (2017)13EXP2645.9±7.7Aerobic and resistance training23 mo50%–75% VO2 peak
CON2548.5±9.6Stretching and breathing23 mo

Baillot et al. (2016)14EXP841.4Endurance and strength training38012

Nikseresht et al. (2016)15EXP 112Nonlinear resistance training35512Very light–very heavy
EXP 210Aerobic interval training34 min × 4 rep1290% HRmax, 65% HRmax

Nunes et al. (2016)16EXP 11062Low volume resistance training31670% 1RM/3 sets
EXP 21162High volume resistance training31670% 1RM/6 sets

Soori et al. (2017)17EXP 18Water-based endurance training3451040%–60% HRmax×
EXP 28Resistance training310–12 rep1040%–60% 1RM/3 sets×
EXP 38Combined training3441040%–60% HRmax, 40%–60% 1RM×

Cuthbertson et al. (2016)18EXP3050Moderately intense aerobic exercise3–530–451630%–60% HRR×

Rafraf et al. (2015)19EXP 11134.8±6.2Exercise+carnitine3855%–70% HRmax×
EXP 21036.1±7.2Exercise+placebo330/30×3855%–70% HRmax×
CON 11134.4±5.5Carnitine×
CON 21136.5±7.3Placebo×

Abdelaal and Mohamad (2015)20EXP 12052.2±3Circuit weight training31260%–75% 1RM×
EXP 22053±3.5Aerobic exercise training320–35/40–501260%–75% HRmax/RPE 12–14×

Arad et al. (2015)21EXP9High intensity interval training3241475%–90% HRR

Kim et al. (2015)22EXP2924.9±2.8Aerobic exercise4865%–75% VO2max×

Benito et al. (2015)23EXP 124Strength training3602250%–60% 1RM
EXP 226Endurance training3602250%–60% HRR
EXP 324Strength+endurance training3602250%–60% 1RM/50%–60% HRR

Kordi et al. (2015)24EXP1442.2±14.4Abdominal resistance training3122 Sets of 8 reps

Park et al. (2015)25EXP1057.2±2.6Aerobic+resistance exercise430–401240%–75% HRR×

Ross et al. (2015)26EXP 17352.1±7.4Low amount, low intensity exercise5180–300 kcal2450% VO2 peak×
EXP 27650.9±8.6High amount, low intensity exercise5300–600 kcal2450% VO2 peak×
EXP 37650.3±8.1High amount, high intensity exercise5360–600 kcal2475% VO2 peak×

Pugh et al. (2014)27EXP3448Gymnasium3–530–451245%–60% HRR×

Nikseresht et al. (2014)28EXP 112Nonlinear resistance training340–6512Very light–very heavy×
EXP 212Aerobic interval training316–201280%–90% HRmax/3 min recovery×

Herring et al. (2014)29EXP 111Resistance exercise3601260% 1RM×
EXP 212Aerobic exercise3601250%–70% HRR×

Irving et al. (2009)30EXP 11349.2±1.8Low intensity exercise5350–400 kcal16RPE 10–12×
EXP 21149.0±2.9High intensity exercise5350–400 kcal163 Day RPE 15–17/2 day RPE 10–12×

Straznicky et al. (2010)31EXP2054±1Bicycle riding3401265% MHR×
CON 12055±1Dietary weight loss
CON 21955±1No treatment

Ibáñez et al. (2010)32EXP 11251.4±5.5Caloric restriction of 500 kcal/day316
EXP 213245–601650%–80% 1RM

Christiansen et al. (2010)33EXP 125Aerobic exercise360–7512×
CON29600 and 800 kcal/day
EXP 225750–1,000 kcal/day, aerobic exercise360–7512

Sartor et al. (2010)34EXP1037±10High intensity interval training340290% VO2 peak×

Plotnikoff et al. (2010)35EXP2755±12Core and assistance exercise31680% 1RM×

Yamaguchi et al. (2011)36EXP1150.0±3.1Treadmill walkingEvery day2 rep×30 min4Anaerobic threshold
CON850.0±2.7Low calorie diet of 25 kcal/kg4

Straznicky et al. (2011)37EXP1352±1Bicycle riding3401265% MHR
CON 11355±2Reduction of 600 calories
CON 21256±2

Lim et al. (2011)38EXP9928.0±0.3Aerobic, resistance exercise76012
CON 19828.0±0.3Metformin, maximum dose of 1,500 mg/day12
CON 210028.0±0.3Placebo, maximum dose of 1,500 mg/day12

Brinkley et al. (2011)39EXP 11557.3±5.7Treadmill 15–20 min at 45%–50% of HRR during first week/hypocaloric menu/ calcium supplement3552045%–50% HRR
EXP 2859.4±4.9Treadmill 15–20 min at 70%–75% of HRR during first week/hypocaloric menu/ calcium supplement3302070%–75% HRR
CON857.6±4.8Hypocaloric menu lunch & dinner/daily calcium supplement (1,000 mg/day)20

Brinkley et al. (2011)40EXP 12258.5±5.3Treadmill320–55 min2045%–50% HRR
EXP 21757.2±4.3Treadmill310–30 min2070%–75% HRR
CON2258.4±6.2Hypocaloric menu/allowed 2 free days per month/calcium supplement 1,000 mg/day20

Atashak et al. (2011)41EXP 1823.6±4.4Resistance training protocol31075%–80% 1RM
EXP 2823.7±3.8Resistance training protocol31075%–80% 1RM
CON 1823.6±3.34 Capsules of ginger rhizome power4 times/day10
CON 2825.3±2.21 g of maltodextrin (placebo)10×

Shah et al. (2011)42EXP2147.3±10.0Moderate-intensity aerobic exercise51260%–70% VO2max

Castello et al. (2011)43EXP1138.4±4.0Aerobic training on a treadmill3611270% HRpeak×

You et al. (2011)44EXP 11357±2Treadmill3552045%–50% HRR
EXP 2862±2Treadmill3302070%–75% HRR
CON959±2Hypocaloric menu (RD) & allowed 2 free day/mo & calcium supplement (1,000 mg/day)20

Henagan et al. (2011)45EXP1265.2±2.6Progressive RT3128RM

Lee et al. (2012)46EXP854.8±2.8Yoga exercise36016×

Sullivan et al. (2012)47EXP1248.6±2.2Walking on a motor-driven treadmill530–601645%–55% VO2max×

Swift et al. (2012)48EXP 16857.4±5.4Cycle ergometer3204Pedal cadence of 50 RPM×
EXP 23255.9±6.0Cycle ergometer3208Pedal cadence of 51 RPM×
EXP 33256.3±6.8Cycle ergometer32012Pedal cadence of 52 RPM

Foster-Schubert et al. (2012)49EXP 111758.1±5.0Aerobic exercise54512 mo70%–85% HRmax×
EXP 211758.0±4.5Aerobic exercise & caloric restriction54512 mo70%–85% HRmax
CON 18757.4±4.4×
CON 211858.1±6.0Caloric deficit of 500–1,000 kcal/day

Abd El-Kader et al. (2015)50EXP3943.6±6.2Treadmill aerobic exercise310–303 mo60%–70% HRmax×
CON3944.1±5.9No exercise training×

Wong et al. (2016)51EXP 11458±4WBVT & intake placebo (4 capsules before breakfast & sleeping)311–60825–40 Hz×
EXP 21358±3WBVT & intake L-Citrulline311–60825–40 Hz
CON1458±4Intake L-Citrulline (4 capsules before breakfast & sleeping)

Osama and Shehab (2015)52EXP5036.4±5.1Aerobic training34036Moderate

Franklin et al. (2015)53EXP1030.3±5.4Circuit-based resistance training120810RM×

Coen et al. (2015)54EXP6641.3±9.7Semi-supervised moderate exercise3–5147/ wk6 mo×
CON6241.9±10.3Health education

Romero Moraleda et al. (2013)55EXP 12436.1±8.7Strength training350–602250%–60% HRR or 15RM
EXP 22635.8±8.0Endurance training350–602250%–60% HRR or 15RM
EXP 32436.0±7.3Strength+endurance training350–602250%–60% HRR or 15RM
CON2236.8±8.9Physical activity350–602250%–60% HRR or 15RM

Figueroa et al. (2013)56EXP 11354±1Low-intensity resistance exercise312×
EXP 21454±1Low-intensity resistance exercise312

Bhutani et al. (2013)57EXP 11845±5ADF+exercise335–601260%–75% HRmax
EXP 22442±2335–601260%–75% HRmax
CON 12542±2Dietary restriction12Controlled feeding
CON 21649±2

Figueroa et al. (2013)58EXP 11454±1Supervised exercise session3–4401218–22 Repetitions×
EXP 21454±1Combination3–4401218–22 Repetitions
CON1354±1Commercial weight-loss program12

Trussardi Fayh et al. (2013)59EXP1732.4±7Training program330–451250%–70% HRR

García-Unciti et al. (2012)60EXP1348.6±6.4Resistance training21650%–80% 1RM
CON 11251.4±5.516
CON 2950.2±6.8

Tseng et al. (2013)61EXP 11022.2±0.73 Day aerobic, 2 day resistance training5601250%–60% HRR, 60%–70% HRR, 50%–60% 1RM
EXP 21022.1±1.1Aerobic training5601250%–60% HRR, 60%–70% HRR
EXP 31021.3±0.6Resistance training5601250%–60% 1RM

Fayh et al. (2013)62EXP1732.3±6.4University gymnasium34565.9 day70% HRR×
CON1831.4±5.6Physical activity

Kim and Kim (2012)63EXP1553.5±2.4Line dance exercise36016HRmax-age%×

Snel et al. (2012)64EXP1353.0±2.5Very low calorie diet+exercise1301670% VO2max
CON1456.1±2.4Very low calorie diet16

Cakmakçi (2011)65EXP3436.2±9.6Pilates training460860%–70% HRmax×

Masuo et al. (2012)66EXP 13037±6Aerobic exercise or gym exercise26024
EXP 23038±5Aerobic exercise or gym exercise26024
CON3038±5Calorie restriction24

Kerksick et al. (2010)67EXP 1943±7Diet+exercise (high energy diet)1301460%–80% HRmax
EXP 2542±2No diet+exercise2301460%–80% HRmax×
EXP 33938±8Very low carbohydrate, high protein diet1301460%–80% HRmax
EXP 43640±7Low carbohydrate, moderate protein diet1301460%–80% HRmax
EXP 54338±8High carbohydrate, low protein diet1301460%–80% HRmax
CON932±10No diet+no exercise214×

Kadoglou et al. (2010)68EXP 12256.9±7.1Exercise training46012 mo50%–80% VO2 Peak×
EXP 22357.8±7.6Therapy+exercise training46012 mo50%–80% VO2 Peak×
CON2160.3±9.3Maintenance12 mo×
RSG2359.0±7.4Add -on therapy with rosiglitazone712 mo×

Murakami et al. (2007)69EXP2451.0±2.1Diet+exercise36012RPM 12–14

Arslan (2011)70EXP2941.6±6.7Step-aerobic dance360850%–85% VO2max×

Mezghanni et al. (2014)71EXP 11127±4Moderate intensity training5601250% HRR×
EXP 21025±5High intensity training5601275% HRR×
EXP 31228±5Alternate intensity training5601250%–75% HRR×

Rshikesan and Subramanya (2016)72EXP3740.0±8.7Special yoga training (IAYT)59014×
CON3542.2±12.1Regular physical activities

Values are presented as mean±standard deviation.

EXP, experimental group; CON, control group; MHR, maximal heart rate; RM, repetition maximum; RPE, rated perceived exertion; VO2 peak, peak oxygen uptake; MVC, maximum voluntary contraction; rep, repetition; HRmax, maximal heart rate; HRR, heart rate reserve; RD, registered dietitian; RT, resistance training; WBVT, whole-body vibration training; ADF, alternate day fasting; IAYT, integrated approach of yoga therapy.

Effect size of exercise interventions on body composition and lipid profiles

FactorStudy (n)Subject (n)SMD (95% CI)PI2 (%)
Weight (kg)893,6650.358 (0.213 to 0.503)<0.00175.9
BMI (kg/m2)783,6820.533 (0.349 to 0.716)<0.00184.8
Body fat (%)472,0490.379 (0.246 to 0.512)<0.00144.3
Waist circumference (cm)753,5160.666 (0.478 to 0.854)<0.00184.1
TC (mg/dL)359060.721 (0.228 to 1.214)0.00494.5
TG (mg/dL)562,2260.603 (0.257 to 0.949)<0.00192.2
LDL (mg/dL)491,9940.406 (0.238 to 0.573)<0.00165.3
HDL (mg/dL)572,270−0.222 (−0.495 to 0.052)0.11288.7

SMD, standardized mean difference; CI, confidence interval; BMI, body mass index; TC, total cholesterol; TG, triglyceride; LDL, low-density lipoprotein; HDL, high-density lipoprotein.

Meta-ANOVA results for moderator effects on body composition

ModeratorWeightBMI% Body fatWaist circumference

SMD (95% CI)nSMD (95% CI)nSMD (95% CI)nSMD (95% CI)n
Diet control
 With diet0.433 (0.205 to 0.661)470.608 (0.294 to 0.922)380.296 (0.106 to 0.485)2040.761 (0.465 to 1.056)39
 No diet0.255 (0.099 to 0.412)420.452 (0.257 to 0.648)400.464 (0.273 to 0.655)230.562 (0.333 to 0.792)36

Exercise time (min/wk)
 <600.899 (0.335 to 1.463)50.075 (−0.855 to 1.005)10.995 (−0.457 to 2.446)20.771 (0.242 to 1.300)3
 60–890.002 (−0.255 to 0.258)50.360 (−0.433 to 1.153)30.000 (−0.881 to 0.881)10.089 (−0.179 to 0.358)4
 90–1190.154 (−0.081 to 0.389)100.391 (0.006 to 0.777)90.193 (−0.763 to 1.148)10.315 (0.034 to 0.595)7
 120–1490.373 (0.091 to 0.656)170.615 (0.283 to 0.947)140.293 (0.110 to 0.475)40.976 (0.472 to 1.480)9
 150–1790.052 (−0.194 to 0.298)70.243 (0.075 to 0.411)80.200 (−0.051 to 0.450)80.476 (0.234 to 0.718)7
 180–2090.208 (−0.045 to 0.460)130.257 (−0.003 to 0.517)130.498 (0.125 to 0.871)80.362 (−0.027 to 0.750)13
 210–2390.092 (−0.889 to 1.072)10.063 (−0.917 to 1.043)1----
 2400.303 (−0.206 to 0.811)10.283 (−0.042 to 0.608)30.450 (0.104 to 0.796)30.331 (−0.178 to 0.840)1
 3001.237 (0.464 to 2.009)61.643 (0.795 to 2.490)61.309 (0.753 to 1.866)32.290 (1.311 to 3.268)6
 420–4500.078 (−0.334 to 0.491)20.103 (−0.310 to 0.515)2--−0.288 (−0.752 to 0.177)1

Duration (wk)
 ≤4−0.028 (−0.408 to 0.353)30.017 (−0.893 to 0.928)1--0.087 (−0.386 to 0.560)1
 8–110.237 (0.032 to 0.441)120.322 (0.104 to 0.540)130.655 (0.390 to 0.921)90.706 (0.226 to 1.186)7
 12–150.455 (0.179 to 0.731)430.911 (0.501 to 1.322)330.541 (0.216 to 0.866)160.910 (0.573 to 1.246)41
 16–190.576 (0.266 to 0.886)130.431 (0.169 to 0.694)100.411 (−0.041 to 0.864)60.600 (0.242 to 0.959)11
 20–230.114 (−0.085 to 0.313)110.150 (−0.047 to 0.348)100.235 (−0.052 to 0.522)90.143 (−0.085 to 0.372)9
 240.120 (−0.499 to 0.738)30.096 (−0.556 to 0.748)3--0.117 (−0.230 to 0.464)1
 36--0.642 (0.240 to 1.045)1----
 480.129 (−0.059 to 0.318)20.214 (0.078 to 0.352)60.209 (0.071 to 0.347)60.284 (0.138 to 0.430)4

 Low0.533 (0.022 to 1.044)110.609 (0.079 to 1.140)70.043 (−0.322 to 0.407)50.558 (−0.446 to 1.562)4
 Moderate0.346 (0.165 to 0.526)280.627 (0.386 to 0.868)310.457 (0.181 to 0.733)160.874 (0.566 to 1.182)27
  Vigorous0.293 (0.136 to 0.450)280.370 (0.184 to 0.557)230.345 (0.189 to 0.501)210.613 (0.387 to 0.838)27

Meta-ANOVA, meta-analysis of variance; BMI, body mass index; SMD, standardized mean difference; CI, confidence interval; n, number of studies.

Meta-ANOVA results for the effect of exercise on lipid profile variables


SMD (95% CI)nSMD (95% CI)nSMD (95% CI)nSMD (95% CI)n
Diet control
 With diet0.825 (0.050 to 1.601)220.772 (0.184 to 1.359)250.340 (0.092 to 0.588)27−0.116 (−0.549 to 0.317)29
 No diet0.449 (0.172 to 0.727)130.377 (0.114 to 0.641)310.468 (0.259 to 0.677)22−0.318 (−0.611 to −0.024)28

Time (min/wk)
 <60−0.019 (−0.949 to 0.911)11.509 (−0.031 to 3.049)30.232 (−0.404 to 0.869)2(−2..441 (−4.439 to (−0.443)4
 60–89(−0.044 (−0.677 to 0.589)1(−0.281 (−0.918 to 0.355)1(−0.076 (−0.709 to 0.558)10.220 (−0.415 to 0.855)1
 90–1190.421 (0.023 to 0.819)5(−0.131 (−0.468 to 0.206)50.274 (−0.081 to 0.628)50.443 (0.100 to 0.786)5
 120–1490.656 (0.028 to 1.284)60.709 (0.109 to 1.308)120.578 (0.100 to 1.056)10(−0.506 (−1.075 to 0.063)12
 150–1790.040 (−0.215 to 0.294)5(−0.195 (−0.550 to 0.159)60.028 (−0.215 to 0.271)6(−0.179 (−0.436 to 0.080)6
 180–2091.010 (0.641 to 1.558)30.193 (−0.384 to 0.769)40.527 (0.096 to 0.958)3(−0.359 (−0.667 to (−0.050)5
 210–2391.733 (0.562 to 2.904)10.141 (−0.841 to 1.122)10.406 (−0.586 to 1.397)10.495 (0.502 to 1.492)1
 2400.575 (0.144 to 1.005)20.634 (0.202 to 1.066)21.164 (0.706 to 1.623)2(−1.020 ( (−1.631 to (−0.409)2
 300--0.904 (0.040 to 1.769)60.876 (0.350 to 1.401)30.173 (−0.324 to 0.669)3
 420–450(−0.585 (−1.519 to 0.350)1(−0.016 (−0.927 to 0.895)1(−0.548 ( (−1.480 to 0.383)10.505 (−0.423 to 1.434)1

Duration (wk)
 ≤4(−0.585 (−1.519 to 0.350)10.012 (−0.628 to 0.653)2(−0.301 (−0.949 to 0.346)20.083 (−0.734 to 0.899)2
 8–110.332 (−0.235 to 0.898)30.274 (−0.105 to 0.652)60.484 (0.105 to 0.862)7(−0.452 (−0.807 to (−0.100)7
 12–151.165 (−0.116 to 2.447)130.834 (0.161 to 1.507)260.515 (0.249 to 0.780)200.007 (−0.460 to 0.474)24
 16–190.837 (0.465 to 1.209)80.643 (0.150 to 1.136)120.292 (0.048 to 0.535)10(−0.575 (−1.212 to 0.063)14
 20–23(−0.058 (−0.322 to 0.205)5(−0.276 (−0.541 to (−0.011)5(−0.076 (−0.339 to 0.187)50.154 (−0.110 to 0.417)5
 240.096 (−0.251 to 0.443)1(−0.014 (−0.361 to 0.333)10.079 (−0.268 to 0.426)10.005 (−0.291 to 0.402)1
 361.492 (1.047 to 1.937)12.585 (2.049 to 3.121)11.402 (0.963 to 1.842)1(−0.993 (−1.410 to (−0.577)1
 480.575 (0.144 to 1.005)20.634 (0.202 to 1.066)21.164 (0.706 to 1.623)2(−1.020 (−1.631 to (−0.409)2

 Low--1.191 (0.376 to 2.006)60.894 (0.076 to 1.711)3(−1.675 (−3.175 to (−0.175)6
 Moderate0.505 (0.188 to 0.822)170.294 (−0.159 to 0.747)200.506 (0.225 to 0.787)20(−0.023 (−.0358 to 0.313)22
 Vigorous0.124 (−0.081 to 0.330)130.410 (0.171 to 0.649)220.176 (−0.057 to 0.409)20(−0.285 (−0.513 to (−0.057)21

Meta-ANOVA, meta-analysis of variance; TC, total cholesterol; TG, triglyceride; LDL, low-density lipoprotein; HDL, high-density lipoprotein; SMD, standardized mean difference; CI, confidence interval; n, number of studies.

  1. Dietz WH. The effects of physical activity on obesity. Quest 2004;56:1-11.
  2. Witham MD, Avenell A. Interventions to achieve long-term weight loss in obese older people: a systematic review and meta-analysis. Age Ageing 2010;39:176-84.
    Pubmed CrossRef
  3. Türk Y, Theel W, Kasteleyn MJ, Franssen FM, Hiemstra PS, Rudolphus A, et al. High intensity training in obesity: a meta-analysis. Obes Sci Pract 2017;3:258-71.
    Pubmed KoreaMed CrossRef
  4. Donner A, Klar N. The statistical analysis of kappa statistics in multiple samples. J Clin Epidemiol 1996;49:1053-8.
    Pubmed CrossRef
  5. Moseley AM, Herbert RD, Sherrington C, Maher CG. Evidence for physiotherapy practice: a survey of the Physiotherapy Evidence Database (PEDro). Aust J Physiother 2002;48:43-9.
    Pubmed CrossRef
  6. Fleiss JL. Statistical methods for rates and proportions. New York (NY): John Wiley; 1981.
  7. Scargle JD. Publication bias: the “file drawer” problem in scientific inference. J Sci Explor 2000;14:91-106.
  8. Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale (NJ): Lawrence Erlbaum Associates; 1988.
  9. Herring LY, Stevinson C, Carter P, Biddle SJ, Bowrey D, Sutton C, et al. The effects of supervised exercise training 12–24 months after bariatric surgery on physical function and body composition: a randomised controlled trial. Int J Obes (Lond) 2017;41:909-16.
    Pubmed CrossRef
  10. Marcon ER, Baglioni S, Bittencourt L, Lopes CL, Neumann CR, Trindade MR. What is the best treatment before bariatric surgery? Exercise, exercise and group therapy, or conventional waiting: a randomized controlled trial. Obes Surg 2017;27:763-73.
    Pubmed CrossRef
  11. Zhang HJ, Pan LL, Ma ZM, Chen Z, Huang ZF, Sun Q, et al. Long-term effect of exercise on improving fatty liver and cardiovascular risk factors in obese adults: a 1-year follow-up study. Diabetes Obes Metab 2017;19:284-9.
    Pubmed CrossRef
  12. Ash GI, Taylor BA, Thompson PD, MacDonald HV, Lamberti L, Chen MH, et al. The antihypertensive effects of aerobic versus isometric handgrip resistance exercise. J Hypertens 2017;35:291-9.
    Pubmed KoreaMed CrossRef
  13. Freitas PD, Ferreira PG, Silva AG, Stelmach R, Carvalho-Pinto RM, Fernandes FL, et al. The role of exercise in a weight-loss program on clinical control in obese adults with asthma: a randomized controlled trial. Am J Respir Crit Care Med 2017;195:32-42.
    Pubmed CrossRef
  14. Baillot A, Mampuya WM, Dionne IJ, Comeau E, Méziat-Burdin A, Langlois MF. Impacts of supervised exercise training in addition to interdisciplinary lifestyle management in subjects awaiting bariatric surgery: a randomized controlled study. Obes Surg 2016;26:2602-10.
    Pubmed CrossRef
  15. Nikseresht M, Hafezi Ahmadi MR, Hedayati M. Detraining-induced alterations in adipokines and cardiometabolic risk factors after nonlinear periodized resistance and aerobic interval training in obese men. Appl Physiol Nutr Metab 2016;41:1018-25.
    Pubmed CrossRef
  16. Nunes PR, Barcelos LC, Oliveira AA, Furlanetto R, Martins FM, Orsatti CL, et al. Effect of resistance training on muscular strength and indicators of abdominal adiposity, metabolic risk, and inflammation in postmenopausal women: controlled and randomized clinical trial of efficacy of training volume. Age (Dordr) 2016;38:40.
    Pubmed KoreaMed CrossRef
  17. Soori R, Rezaeian N, Khosravi N, Ahmadizad S, Taleghani HM, Jourkesh M, et al. Effects of water-based endurance training, resistance training, and combined water and resistance training programs on visfatin and ICAM-1 levels in sedentary obese women. Sci Sport 2017;32:144-51.
  18. Cuthbertson DJ, Shojaee-Moradie F, Sprung VS, Jones H, Pugh CJ, Richardson P, et al. Dissociation between exercise-induced reduction in liver fat and changes in hepatic and peripheral glucose homoeostasis in obese patients with non-alcoholic fatty liver disease. Clin Sci (Lond) 2016;130:93-104.
    Pubmed CrossRef
  19. Rafraf M, Karimi M, Jafari A. Effect of L-carnitine supplementation in comparison with moderate aerobic training on serum inflammatory parameters in healthy obese women. J Sports Med Phys Fitness 2015;55:1363-70.
  20. Abdelaal AA, Mohamad MA. Obesity indices and haemodynamic response to exercise in obese diabetic hypertensive patients: randomized controlled trial. Obes Res Clin Pract 2015;9:475-86.
    Pubmed CrossRef
  21. Arad AD, DiMenna FJ, Thomas N, Tamis-Holland J, Weil R, Geliebter A, et al. High-intensity interval training without weight loss improves exercise but not basal or insulin-induced metabolism in overweight/obese African American women. J Appl Physiol (1985) 2015;119:352-62.
    Pubmed CrossRef
  22. Kim YS, Nam JS, Yeo DW, Kim KR, Suh SH, Ahn CW. The effects of aerobic exercise training on serum osteocalcin, adipocytokines and insulin resistance on obese young males. Clin Endocrinol (Oxf) 2015;82:686-94.
    Pubmed CrossRef
  23. Benito PJ, Bermejo LM, Peinado AB, López-Plaza B, Cupeiro R, Szendrei B, et al. Change in weight and body composition in obese subjects following a hypocaloric diet plus different training programs or physical activity recommendations. J Appl Physiol (1985) 2015;118:1006-13.
    Pubmed CrossRef
  24. Kordi R, Dehghani S, Noormohammadpour P, Rostami M, Mansournia MA. Effect of abdominal resistance exercise on abdominal subcutaneous fat of obese women: a randomized controlled trial using ultrasound imaging assessments. J Manipulative Physiol Ther 2015;38:203-9.
    Pubmed CrossRef
  25. Park SM, Kwak YS, Ji JG. The effects of combined exercise on health-related fitness, endotoxin, and immune function of postmenopausal women with abdominal obesity. J Immunol Res 2015;2015 830567
    Pubmed KoreaMed CrossRef
  26. Ross R, Hudson R, Stotz PJ, Lam M. Effects of exercise amount and intensity on abdominal obesity and glucose tolerance in obese adults: a randomized trial. Ann Intern Med 2015;162:325-34.
    Pubmed CrossRef
  27. Pugh CJ, Spring VS, Kemp GJ, Richardson P, Shojaee-Moradie F, Umpleby AM, et al. Exercise training reverses endothelial dysfunction in nonalcoholic fatty liver disease. Am J Physiol Heart Circ Physiol 2014;307:H1298-306.
    Pubmed CrossRef
  28. Nikseresht M, Agha-Alinejad H, Azarbayjani MA, Ebrahim K. Effects of nonlinear resistance and aerobic interval training on cytokines and insulin resistance in sedentary men who are obese. J Strength Cond Res 2014;28:2560-8.
    Pubmed CrossRef
  29. Herring LY, Wagstaff C, Scott A. The efficacy of 12 weeks supervised exercise in obesity management. Clin Obes 2014;4:220-7.
    Pubmed CrossRef
  30. Irving BA, Weltman JY, Patrie JT, Davis CK, Brock DW, Swift D, et al. Effects of exercise training intensity on nocturnal growth hormone secretion in obese adults with the metabolic syndrome. J Clin Endocrinol Metab 2009;94:1979-86.
    Pubmed KoreaMed CrossRef
  31. Straznicky NE, Lambert EA, Nestel PJ, McGrane MT, Dawood T, Schlaich MP, et al. Sympathetic neural adaptation to hypocaloric diet with or without exercise training in obese metabolic syndrome subjects. Diabetes 2010;59:71-9.
    Pubmed KoreaMed CrossRef
  32. Ibáñez J, Izquierdo M, Martínez-Labari C, Ortega F, Grijalba A, Forga L, et al. Resistance training improves cardiovascular risk factors in obese women despite a significative decrease in serum adiponectin levels. Obesity (Silver Spring) 2010;18:535-41.
    Pubmed CrossRef
  33. Christiansen T, Paulsen SK, Bruun JM, Pedersen SB, Richelsen B. Exercise training versus diet-induced weight-loss on metabolic risk factors and inflammatory markers in obese subjects: a 12-week randomized intervention study. Am J Physiol Endocrinol Metab 2010;298:E824-31.
    Pubmed CrossRef
  34. Sartor F, de Morree HM, Matschke V, Marcora SM, Milousis A, Thom JM, et al. High-intensity exercise and carbohydrate-reduced energy-restricted diet in obese individuals. Eur J Appl Physiol 2010;110:893-903.
    Pubmed CrossRef
  35. Plotnikoff RC, Eves N, Jung M, Sigal RJ, Padwal R, Karunamuni N. Multicomponent, home-based resistance training for obese adults with type 2 diabetes: a randomized controlled trial. Int J Obes (Lond) 2010;34:1733-41.
    Pubmed CrossRef
  36. Yamaguchi T, Saiki A, Endo K, Miyashita Y, Shirai K. Effect of exercise performed at anaerobic threshold on serum growth hormone and body fat distribution in obese patients with type 2 diabetes. Obes Res Clin Pract 2011;5:e1-78.
    Pubmed CrossRef
  37. Straznicky NE, Grima MT, Lambert EA, Eikelis N, Dawood T, Lambert GW, et al. Exercise augments weight loss induced improvement in renal function in obese metabolic syndrome individuals. J Hypertens 2011;29:553-64.
    Pubmed CrossRef
  38. Lim SS, Norman RJ, Clifton PM, Noakes M. The effect of comprehensive lifestyle intervention or metformin on obesity in young women. Nutr Metab Cardiovasc Dis 2011;21:261-8.
    Pubmed CrossRef
  39. Brinkley TE, Ding J, Carr JJ, Nicklas BJ. Pericardial fat loss in postmenopausal women under conditions of equal energy deficit. Med Sci Sports Exerc 2011;43:808-14.
    Pubmed KoreaMed CrossRef
  40. Brinkley TE, Wang X, Kume N, Mitsuoka H, Nicklas BJ. Caloric restriction, aerobic exercise training and soluble lectin-like oxidized LDL receptor-1 levels in overweight and obese post-menopausal women. Int J Obes (Lond) 2011;35:793-9.
    Pubmed KoreaMed CrossRef
  41. Atashak S, Peeri M, Jafari A, Ali Azarbayjani A. Effects of ginger supplementation and resistance training on lipid profiles and body composition in obese men. J Med Plants Res 2011;5:3827-32.
  42. Shah M, Snell PG, Rao S, Adams-Huet B, Quittner C, Livingston EH, et al. High-volume exercise program in obese bariatric surgery patients: a randomized, controlled trial. Obesity (Silver Spring) 2011;19:1826-34.
    Pubmed CrossRef
  43. Castello V, Simões RP, Bassi D, Catai AM, Arena R, Borghi-Silva A. Impact of aerobic exercise training on heart rate variability and functional capacity in obese women after gastric bypass surgery. Obes Surg 2011;21:1739-49.
    Pubmed CrossRef
  44. You T, Disanzo BL, Wang X, Yang R, Gong D. Adipose tissue endocannabinoid system gene expression: depot differences and effects of diet and exercise. Lipids Health Dis 2011;10:194.
    Pubmed KoreaMed CrossRef
  45. Henagan TM, Phillips MD, Cheek DJ, Kirk KM, Barbee JJ, Stewart LK. The melanocortin 3 receptor: a novel mediator of exercise-induced inflammation reduction in postmenopausal women?. J Aging Res 2011;2011 512593
    Pubmed KoreaMed CrossRef
  46. Lee JA, Kim JW, Kim DY. Effects of yoga exercise on serum adiponectin and metabolic syndrome factors in obese postmenopausal women. Menopause 2012;19:296-301.
    Pubmed CrossRef
  47. Sullivan S, Kirk EP, Mittendorfer B, Patterson BW, Klein S. Randomized trial of exercise effect on intrahepatic triglyceride content and lipid kinetics in nonalcoholic fatty liver disease. Hepatology 2012;55:1738-45.
    Pubmed KoreaMed CrossRef
  48. Swift DL, Earnest CP, Blair SN, Church TS. The effect of different doses of aerobic exercise training on endothelial function in postmenopausal women with elevated blood pressure: results from the DREW study. Br J Sports Med 2012;46:753-8.
    Pubmed CrossRef
  49. Foster-Schubert KE, Alfano CM, Duggan CR, Xiao L, Campbell KL, Kong A, et al. Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women. Obesity (Silver Spring) 2012;20:1628-38.
    Pubmed KoreaMed CrossRef
  50. Abd El-Kader SM, Al-Jiffri OH, Al-Shreef FM. Aerobic exercises alleviate symptoms of fatigue related to inflammatory cytokines in obese patients with type 2 diabetes. Afr Health Sci 2015;15:1142-8.
    Pubmed KoreaMed CrossRef
  51. Wong A, Alvarez-Alvarado S, Jaime SJ, Kinsey AW, Spicer MT, Madzima TA, et al. Combined whole-body vibration training and l-citrulline supplementation improves pressure wave reflection in obese postmenopausal women. Appl Physiol Nutr Metab 2016;41:292-7.
    Pubmed CrossRef
  52. Osama AJ, Shehab Ael-K. Psychological wellbeing and biochemical modulation in response to weight loss in obese type 2 diabetes patients. Afr Health Sci 2015;15:503-12.
    Pubmed KoreaMed CrossRef
  53. Franklin NC, Robinson AT, Bian JT, Ali MM, Norkeviciute E, McGinty P, et al. Circuit resistance training attenuates acute exertion-induced reductions in arterial function but not inflammation in obese women. Metab Syndr Relat Disord 2015;13:227-34.
    Pubmed KoreaMed CrossRef
  54. Coen PM, Tanner CJ, Helbling NL, Dubis GS, Hames KC, Xie H, et al. Clinical trial demonstrates exercise following bariatric surgery improves insulin sensitivity. J Clin Invest 2015;125:248-57.
    Pubmed KoreaMed CrossRef
  55. Romero Moraleda B, Morencos E, Peinado AB, Bermejo L, Gómez Candela C, Benito PJ, et al. Can the exercise mode determine lipid profile improvements in obese patients?. Nutr Hosp 2013;28:607-17.
    Pubmed CrossRef
  56. Figueroa A, Arjmandi BH, Wong A, Sanchez-Gonzalez MA, Simonavice E, Daggy B. Effects of hypocaloric diet, low-intensity resistance exercise with slow movement, or both on aortic hemodynamics and muscle mass in obese postmenopausal women. Menopause 2013;20:967-72.
    Pubmed CrossRef
  57. Bhutani S, Klempel MC, Kroeger CM, Trepanowski JF, Varady KA. Alternate day fasting and endurance exercise combine to reduce body weight and favorably alter plasma lipids in obese humans. Obesity (Silver Spring) 2013;21:1370-9.
    Pubmed CrossRef
  58. Figueroa A, Vicil F, Sanchez-Gonzalez MA, Wong A, Ormsbee MJ, Hooshmand S, et al. Effects of diet and/or low-intensity resistance exercise training on arterial stiffness, adiposity, and lean mass in obese postmenopausal women. Am J Hypertens 2013;26:416-23.
    Pubmed CrossRef
  59. Trussardi Fayh AP, Lopes AL, Fernandes PR, Reischak-Oliveira A, Friedman R. Impact of weight loss with or without exercise on abdominal fat and insulin resistance in obese individuals: a randomised clinical trial. Br J Nutr 2013;110:486-92.
    Pubmed CrossRef
  60. García-Unciti M, Izquierdo M, Idoate F, Gorostiaga E, Grijalba A, Ortega-Delgado F, et al. Weight-loss diet alone or combined with progressive resistance training induces changes in association between the cardiometabolic risk profile and abdominal fat depots. Ann Nutr Metab 2012;61:296-304.
    Pubmed CrossRef
  61. Tseng ML, Ho CC, Chen SC, Huang YC, Lai CH, Liaw YP. A simple method for increasing levels of high-density lipoprotein cholesterol: a pilot study of combination aerobic- and resistance-exercise training. Int J Sport Nutr Exerc Metab 2013;23:271-81.
    Pubmed CrossRef
  62. Fayh AP, Lopes AL, da Silva AM, Reischak-Oliveira A, Friedman R. Effects of 5 % weight loss through diet or diet plus exercise on cardiovascular parameters of obese: a randomized clinical trial. Eur J Nutr 2013;52:1443-50.
    Pubmed CrossRef
  63. Kim JW, Kim DY. Effects of aerobic exercise training on serum sex hormone binding globulin, body fat index, and metabolic syndrome factors in obese postmenopausal women. Metab Syndr Relat Disord 2012;10:452-7.
    Pubmed CrossRef
  64. Snel M, Gastaldelli A, Ouwens DM, Hesselink MK, Schaart G, Buzzigoli E, et al. Effects of adding exercise to a 16-week very low-calorie diet in obese, insulin-dependent type 2 diabetes mellitus patients. J Clin Endocrinol Metab 2012;97:2512-20.
    Pubmed CrossRef
  65. Cakmakçi O. The effect of 8 week pilates exercise on body composition in obese women. Coll Antropol 2011;35:1045-50.
  66. Masuo K, Rakugi H, Ogihara T, Lambert GW. Different mechanisms in weight loss-induced blood pressure reduction between a calorie-restricted diet and exercise. Hypertens Res 2012;35:41-7.
    Pubmed CrossRef
  67. Kerksick CM, Wismann-Bunn J, Fogt D, Thomas AR, Taylor L, Campbell BI, et al. Changes in weight loss, body composition and cardiovascular disease risk after altering macronutrient distributions during a regular exercise program in obese women. Nutr J 2010;9:59.
    Pubmed KoreaMed CrossRef
  68. Kadoglou NP, Iliadis F, Sailer N, Athanasiadou Z, Vitta I, Kapelouzou A, et al. Exercise training ameliorates the effects of rosiglitazone on traditional and novel cardiovascular risk factors in patients with type 2 diabetes mellitus. Metabolism 2010;59:599-607.
    Pubmed CrossRef
  69. Murakami T, Horigome H, Tanaka K, Nakata Y, Katayama Y, Matsui A. Effects of diet with or without exercise on leptin and anticoagulation proteins levels in obesity. Blood Coagul Fibrinolysis 2007;18:389-94.
    Pubmed CrossRef
  70. Arslan F. The effects of an eight-week step-aerobic dance exercise programme on body composition parameters in middle-aged sedentary obese women. Int Sport Med J 2011;12:160-8.
  71. Mezghanni N, Lahyani A, Jamoussi K, Mnif M, Masmoudi L, Abid M, et al. Effect of exercise intensity on body composition and cardiovascular disease risk factors in sedentary young obese women. Int Sport Med J 2014;15:415-24.
  72. Rshikesan PB, Subramanya P. Effect of integrated approach of yoga therapy on male obesity and psychological parameters: a randomised controlled trial. J Clin Diagn Res 2016;10:KC01-6.
  73. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. Philadelphia (PA): Lippincott Williams & Wilkins; 2014.
  74. Seo MH, Lee WY, Kim SS, Kang JH, Kang JH, Kim KK, et al. 2018 Korean Society for the Study of Obesity Guideline for the management of obesity in Korea. J Obes Metab Syndr 2019;28:40-5.
    Pubmed KoreaMed CrossRef
  75. Vissers D, Hens W, Hansen D, Taeymans J. The effect of diet or exercise on visceral adipose tissue in overweight youth. Med Sci Sports Exerc 2016;48:1415-24.
    Pubmed CrossRef
  76. Wu T, Gao X, Chen M, van Dam RM. Long-term effectiveness of diet-plus-exercise interventions vs. diet-only interventions for weight loss: a meta-analysis. Obesity Reviews 2009;10:313-23.
    Pubmed CrossRef
  77. Keating SE, Machan EA, O’Connor HT, Gerofi JA, Sainsbury A, Caterson ID, et al. Continuous exercise but not high intensity interval training improves fat distribution in overweight adults. J Obes 2014;2014 834865
    Pubmed KoreaMed CrossRef
  78. Kemmler W, Scharf M, Lell M, Petrasek C, von Stengel S. High versus moderate intensity running exercise to impact cardiometabolic risk factors: the randomized controlled RUSH-study. Biomed Res Int 2014;2014 843095
    Pubmed KoreaMed CrossRef
  79. Auriemma A. High-intensity interval training versus traditional exercise in adults with overweight and obesity. Bariatric Times 2017;14:12-5.