Literature DB >> 31909371

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.   

Abstract

BACKGROUND: 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.
METHODS: 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."
RESULTS: 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.
CONCLUSION: We suggest that individuals with obesity should exercise consistently to achieve significant improvements in their health.
Copyright © 2019 Korean Society for the Study of Obesity.

Entities:  

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

Year:  2019        PMID: 31909371      PMCID: PMC6939705          DOI: 10.7570/jomes.2019.28.4.278

Source DB:  PubMed          Journal:  J Obes Metab Syndr        ISSN: 2508-6235


INTRODUCTION

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.

METHODS

Search strategy and eligibility criteria

We conducted a literature search of three databases: Embase (http://www.embase.com/), PubMed (http://www.ncbi.nlm.nih.gov/pubmed/), and EBSCO Academic Search Premier (http://search.ebscohost.com/), 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 (http://www.r-project.org). 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

RESULTS

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.9–72
Table 1

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
CON1252.4±8.1

Marcon et al. (2017)10EXP 12243.4±2.3Aerobic and stretching exercise22519RPE 2–4×
EXP 21750.1±2.8Aerobic and stretching exercise22519RPE 2–4
CON1842.5±2.7

Zhang et al. (2017)11EXP 17353.2±7.1Vigorous/moderate exercise150/wk12 moVigorous/moderate×
EXP 27354.4±7.4Moderate exercise150/wk12 moModerate×
CON7454±6.8×

Ash et al. (2017)12EXP 1639.7±4.9Aerobic exercise345860% VO2 peak×
EXP 2543.4±5.3Isometric handgrip38830% MVC×
CON2740.6±2

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
CON2043.3

Nikseresht et al. (2016)15EXP 112Nonlinear resistance training35512Very light–very heavy
EXP 210Aerobic interval training34 min × 4 rep1290% HRmax, 65% HRmax
CON11

Nunes et al. (2016)16EXP 11062Low volume resistance training31670% 1RM/3 sets
EXP 21162High volume resistance training31670% 1RM/6 sets
CON1160

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×
CON8×

Cuthbertson et al. (2016)18EXP3050Moderately intense aerobic exercise3–530–451630%–60% HRR×
CON2052×

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×
CON1952±3.3

Arad et al. (2015)21EXP9High intensity interval training3241475%–90% HRR
CON11

Kim et al. (2015)22EXP2924.9±2.8Aerobic exercise4865%–75% VO2max×
CON1026.6±2.8×

Benito et al. (2015)23EXP 124Strength training3602250%–60% 1RM
EXP 226Endurance training3602250%–60% HRR
EXP 324Strength+endurance training3602250%–60% 1RM/50%–60% HRR
CON22

Kordi et al. (2015)24EXP1442.2±14.4Abdominal resistance training3122 Sets of 8 reps
CON1643±15.1

Park et al. (2015)25EXP1057.2±2.6Aerobic+resistance exercise430–401240%–75% HRR×
CON1057.2±1.7

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×
CON7552.2±8.2

Pugh et al. (2014)27EXP3448Gymnasium3–530–451245%–60% HRR×
CON2047

Nikseresht et al. (2014)28EXP 112Nonlinear resistance training340–6512Very light–very heavy×
EXP 212Aerobic interval training316–201280%–90% HRmax/3 min recovery×
CON10×

Herring et al. (2014)29EXP 111Resistance exercise3601260% 1RM×
EXP 212Aerobic exercise3601250%–70% HRR×
CON10×

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×
CON1049.2±4.8×

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
CON9×

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×
CON941±14×

Plotnikoff et al. (2010)35EXP2755±12Core and assistance exercise31680% 1RM×
CON2154±12×

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
CON1253.9±8.8

Castello et al. (2011)43EXP1138.4±4.0Aerobic training on a treadmill3611270% HRpeak×
CON1036±4×

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
CON1166.1±3.0

Lee et al. (2012)46EXP854.8±2.8Yoga exercise36016×
CON854.3±2.9×

Sullivan et al. (2012)47EXP1248.6±2.2Walking on a motor-driven treadmill530–601645%–55% VO2max×
CON647.5±3.1×

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
CON2356.8±5.4

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
CON5037.2±4.336

Franklin et al. (2015)53EXP1030.3±5.4Circuit-based resistance training120810RM×
CON830.8±9.0

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
CON1455±112

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
CON1830.1±5.5

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
CON1022.3±1.0

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%×
CON1553.5±2.4

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×
CON2739.0±10.0

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
CON1848.2±1.9Diet12

Arslan (2011)70EXP2941.6±6.7Step-aerobic dance360850%–85% VO2max×
CON2037.0±9.1×

Mezghanni et al. (2014)71EXP 11127±4Moderate intensity training5601250% HRR×
EXP 21025±5High intensity training5601275% HRR×
EXP 31228±5Alternate intensity training5601250%–75% HRR×
CON1025±4

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.

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.
Table 2

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.

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).
Figure 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.

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).
Table 3

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

Intensity
 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.

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.
Table 4

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

ModeratorTCTGLDLHDL




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

Intensity
 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.

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).
Figure 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.

DISCUSSION

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.
  69 in total

1.  High-intensity exercise and carbohydrate-reduced energy-restricted diet in obese individuals.

Authors:  Francesco Sartor; Helma M de Morree; Verena Matschke; Samuele M Marcora; Athanasios Milousis; Jeanette M Thom; Hans-Peter Kubis
Journal:  Eur J Appl Physiol       Date:  2010-07-14       Impact factor: 3.078

Review 2.  Long-term effectiveness of diet-plus-exercise interventions vs. diet-only interventions for weight loss: a meta-analysis.

Authors:  T Wu; X Gao; M Chen; R M van Dam
Journal:  Obes Rev       Date:  2009-01-19       Impact factor: 9.213

3.  Resistance training improves cardiovascular risk factors in obese women despite a significative decrease in serum adiponectin levels.

Authors:  Javier Ibáñez; Mikel Izquierdo; Cristina Martínez-Labari; Francisco Ortega; Ana Grijalba; Luis Forga; Fernando Idoate; Marisol García-Unciti; José M Fernández-Real; Esteban M Gorostiaga
Journal:  Obesity (Silver Spring)       Date:  2009-08-27       Impact factor: 5.002

4.  Circuit resistance training attenuates acute exertion-induced reductions in arterial function but not inflammation in obese women.

Authors:  Nina C Franklin; Austin T Robinson; Jing-Tan Bian; Mohamed M Ali; Edita Norkeviciute; Patrick McGinty; Shane A Phillips
Journal:  Metab Syndr Relat Disord       Date:  2015-04-06       Impact factor: 1.894

5.  Long-term effect of exercise on improving fatty liver and cardiovascular risk factors in obese adults: A 1-year follow-up study.

Authors:  Hui-Jie Zhang; Ling-Ling Pan; Zhi-Min Ma; Zheng Chen; Zhu-Feng Huang; Qian Sun; Yan Lu; Cheng-Kun Han; Ming-Zhu Lin; Xue-Jun Li; Shu-Yu Yang; Xiao-Ying Li
Journal:  Diabetes Obes Metab       Date:  2016-11-22       Impact factor: 6.577

6.  Pericardial fat loss in postmenopausal women under conditions of equal energy deficit.

Authors:  Tina E Brinkley; Jingzhong Ding; J Jeffrey Carr; Barbara J Nicklas
Journal:  Med Sci Sports Exerc       Date:  2011-05       Impact factor: 5.411

Review 7.  Interventions to achieve long-term weight loss in obese older people: a systematic review and meta-analysis.

Authors:  Miles D Witham; Alison Avenell
Journal:  Age Ageing       Date:  2010-01-18       Impact factor: 10.668

8.  Effects of aerobic exercise training on serum sex hormone binding globulin, body fat index, and metabolic syndrome factors in obese postmenopausal women.

Authors:  Jong-Won Kim; Do-Yeon Kim
Journal:  Metab Syndr Relat Disord       Date:  2012-09-18       Impact factor: 1.894

9.  Changes in weight loss, body composition and cardiovascular disease risk after altering macronutrient distributions during a regular exercise program in obese women.

Authors:  Chad M Kerksick; Jennifer Wismann-Bunn; Donovan Fogt; Ashli R Thomas; Lem Taylor; Bill I Campbell; Colin D Wilborn; Travis Harvey; Mike D Roberts; Paul La Bounty; Melyn Galbreath; Brandon Marcello; Christopher J Rasmussen; Richard B Kreider
Journal:  Nutr J       Date:  2010-11-22       Impact factor: 3.271

10.  Exercise training reverses endothelial dysfunction in nonalcoholic fatty liver disease.

Authors:  Christopher J A Pugh; Victoria S Spring; Graham J Kemp; Paul Richardson; Fariba Shojaee-Moradie; A Margot Umpleby; Daniel J Green; N Timothy Cable; Helen Jones; Daniel J Cuthbertson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-11-01       Impact factor: 4.733

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1.  Efficacy of the SOAR knee health program: protocol for a two-arm stepped-wedge randomized delayed-controlled trial.

Authors:  Jackie L Whittaker; Linda K Truong; Justin M Losciale; Trish Silvester-Lee; Maxi Miciak; Andrea Pajkic; Christina Y Le; Alison M Hoens; Amber Mosewich; Michael A Hunt; Linda C Li; Ewa M Roos
Journal:  BMC Musculoskelet Disord       Date:  2022-01-25       Impact factor: 2.362

2.  Mendelian randomization suggests a bidirectional, causal relationship between physical inactivity and adiposity.

Authors:  Germán D Carrasquilla; Mario García-Ureña; Tove Fall; Thorkild I A Sørensen; Tuomas O Kilpeläinen
Journal:  Elife       Date:  2022-03-07       Impact factor: 8.713

Review 3.  The Effect of Yoga on Health-Related Fitness among Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Authors:  Rakhmat Ari Wibowo; Riskah Nurámalia; Herlin Ajeng Nurrahma; Eva Oktariani; Jajar Setiawan; Ajeng Viska Icanervilia; Denny Agustiningsih
Journal:  Int J Environ Res Public Health       Date:  2022-04-01       Impact factor: 3.390

4.  Associations of physical activity with sarcopenia and sarcopenic obesity in middle-aged and older adults: the Louisiana osteoporosis study.

Authors:  Yan Du; Tao Xu; Zenong Yin; Sara Espinoza; Yiqiong Xie; Caleb Gentry; Qing Tian; Lan-Juan Zhao; Hui Shen; Zhe Luo; Hong-Wen Deng
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Review 5.  A Report of Journal of Obesity and Metabolic Syndrome in the Last 3 Years of Upheaval.

Authors:  Eun-Jung Rhee
Journal:  J Obes Metab Syndr       Date:  2022-03-30

Review 6.  Effects of exercise training on obesity-related parameters in people with intellectual disabilities: systematic review and meta-analysis.

Authors:  J Salse-Batán; M A Sanchez-Lastra; D Suárez-Iglesias; C Ayán Pérez
Journal:  J Intellect Disabil Res       Date:  2022-03-16

7.  Regular exercise combined with ferulic acid exhibits antiobesity effect and regulates metabolic profiles in high-fat diet-induced mice.

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8.  A Randomised Controlled Trial to Evaluate the Administration of the Health Improvement Card as a Health Promotion Tool: A Physiotherapist-Led Community-Based Initiative.

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Journal:  Int J Environ Res Public Health       Date:  2020-11-02       Impact factor: 3.390

Review 9.  What exercise prescription is optimal to improve body composition and cardiorespiratory fitness in adults living with obesity? A network meta-analysis.

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Journal:  Obes Rev       Date:  2020-09-08       Impact factor: 9.213

Review 10.  The Impact of Sedentary Lifestyle, High-fat Diet, Tobacco Smoke, and Alcohol Intake on the Hematopoietic Stem Cell Niches.

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