|Year : 2015 | Volume
| Issue : 2 | Page : 181-192
High-intensity circuit weight training versus aerobic training in patients with nonalcoholic fatty liver disease
Hany F Elsisi1, Yasser M Aneis PhD 2
1 Department of Physical Therapy for Cardiovascular/Respiratory Disorder and Geriatrics, Faculty of Physical Therapy, Cairo University, Cairo, Egypt
2 Department of Basic Sciences, Faculty of Physical Therapy, Cairo University, Cairo, Egypt
|Date of Submission||21-Sep-2015|
|Date of Acceptance||10-Nov-2015|
|Date of Web Publication||22-Jan-2016|
Yasser M Aneis
7 Ahmed Elzayat, Dokki, Giza 12613
Source of Support: None, Conflict of Interest: None
Nonalcoholic fatty liver disease (NAFLD) has become one of the most common causes of liver disease worldwide and has been recognized as a major health burden. To date, no evidence-based therapy has proven to be effective for NAFLD, except for exercise and dietary interventions. The unsuitability of weight-oriented aerobic training for obese people with NAFLD because of the difficulty in maintaining weight loss necessitates the development of alternative strategies such as resistance training.
The aim of the study was to evaluate the effect of high-intensity circuit weight training (CWT) compared with aerobic training in NAFLD patients.
Materials and methods
A randomized controlled trial enrolling 32 NAFLD patients of both sexes (15 men and 17 women) with ages ranging from 30 to 55 years without secondary liver disease (e.g. without hepatitis B virus, hepatitis C virus, or alcohol consumption) was conducted. Patients were randomly allocated either to CWT or to aerobic exercise training, three times weekly, for 3 months. Anthropometrics, lipid profile, liver enzymes, and liver steatosis were assessed. Steatosis was quantified with the hepatorenal-ultrasound index (HRI) representing the ratio between the brightness level of the liver and the right kidney.
All baseline characteristics were similar for the two treatment groups with respect to demographics, anthropometrics, lipid profile, liver enzymes, and liver steatosis on imaging. HRI score was significantly reduced in the CWT group as compared with the aerobic exercise training group (−0.38 ± 0.37 vs. −0.17 ± 0.28, P = 0.017), representing an 18 versus 8.54% relative reduction from baseline in the two groups, respectively. CWT also improved body composition, most importantly waist circumference, which was positively correlated with the change in HRI (r = 0.645 and P = 0.009).
This randomized controlled trial demonstrated a significant reduction in steatosis, as assessed by HRI, after 3 months of CWT accompanied by favorable anthropometric, lipid profile, and liver enzyme changes. CWT may serve as a complement to the treatment of NAFLD.
Keywords: aerobic exercise, circuit weight training, liver steatosis, obesity
|How to cite this article:|
Elsisi HF, Aneis YM. High-intensity circuit weight training versus aerobic training in patients with nonalcoholic fatty liver disease. Bull Fac Phys Ther 2015;20:181-92
|How to cite this URL:|
Elsisi HF, Aneis YM. High-intensity circuit weight training versus aerobic training in patients with nonalcoholic fatty liver disease. Bull Fac Phys Ther [serial online] 2015 [cited 2018 May 25];20:181-92. Available from: http://www.bfpt.eg.net/text.asp?2015/20/2/181/174717
| Introduction|| |
Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide  . The presentation of the disease ranges from what can be considered 'silent liver disease', or fatty steatosis, to nonalcoholic steatohepatitis  .
Nonalcoholic steatohepatitis is considered a major cause of cryptogenic cirrhosis and is associated with an increased risk for developing cardiovascular disease, insulin resistance (IR), type 2 diabetes, and chronic kidney disease , . The prevalence of NAFLD is influenced by several factors such as age, sex, ethnicity, and the presence of sleep apnea and endocrine dysfunctions (hypothyroidism, hypopituitarism, hypogonadism, and polycystic ovary syndrome) , .
Obesity is a chronic disease defined by a BMI greater than 30 kg/m 2 , and morbid obesity, one of the most rapidly growing subgroups, is defined as a BMI greater than 40 kg/m 2  . Considered as a state of chronic low-grade inflammation, obesity has been associated with complications such as type 2 diabetes, cardiovascular disease, hypertension, stroke, gallbladder disease, osteoarthritis, and psychosocial problems , . Obesity has also been associated with a spectrum of cancer types (colon, breast, endometrium, kidney, esophagus, stomach, pancreas, and gallbladder), and, together with IR, represents a risk factor for developing hepatocellular carcinoma  .
NAFLD is strongly linked to obesity, with a reported prevalence as high as 80% in obese patients and only 16% in individuals with a normal BMI and without metabolic risk factors , . Fatty liver severity in the morbidly obese also correlates with the degree of impaired glycemic status  .
Hepatic steatosis is correlated with BMI, but is more closely associated with visceral adiposity (measured as waist circumference), as visceral adipose tissue is more lipolitically active on a per-unit-weight basis than subcutaneous fat , . However, it was identified as a form of metabolically benign obesity in which insulin-sensitive, obese individuals have a lower percentage of accumulated liver fat compared with IR obese subjects. This implies that the prevention and reduction of hepatic fat accumulation may lower IR even in patients with increased adiposity , .
To date, no evidence-based therapy has proven to be effective for NAFLD, except exercise and dietary interventions  . The role of physical activity (PA) as a potential treatment for NAFLD has been tested in several observational studies and in a few clinical trials, mostly testing the effect of aerobic training , .
However, obese people have an extra burden on the knee and hip joints that tend to discourage continued adherence to aerobic exercise programs. Furthermore, fatigue is a common symptom in NAFLD patients, and they report low scores for vitality  . Although NAFLD patients understand the benefits of exercise, they lack the confidence to perform it and express a fear of falling  .
For those patients who may have physical limitation or low motivation that prevents them from performing aerobic PA, resistive training (RT) can serve as an alternative option. Therefore, there is an unmet need for the development of a safe and effective exercise therapy that can be sustainably adopted by NAFLD patients to achieve long-term weight loss. Thus, the main aim of this randomized controlled trial was to evaluate the effect of high-intensity circuit weight training (CWT) on NAFLD patients.
| Materials and methods|| |
Thirty-two patients of both sexes (15 men and 17 women) with ultrasound-diagnosed fatty liver attending the liver clinic at the National Nutrition Institute were screened and selected randomly to be enrolled into this 12-week blinded randomized controlled trial after they had fulfilled the inclusion criteria of the study and had provided informed consent for participation in the study and for publication of the results. This study was approved by the Ethics Committee for scientific research of the Faculty of Physical Therapy, Cairo University.
Inclusion criteria were as follows: age between 30 and 55 years, BMI of 30 or more, and a diagnosis of fatty liver on ultrasound in the past 6 months and on the baseline ultrasound examination. The diagnosis of NAFLD was based on overeating or physical inactivity, elevated serum alanine aminotransferase (ALT) levels, and the presence of at least two of three abnormal findings using abdominal ultrasonography: diffusely increased liver echogenicity (bright) greater than for kidney, vascular blurring, and deep attenuation of the ultrasound signal according to the diagnostic guidelines for NAFLD  .
Exclusion criteria were any known secondary liver diseases, including the presence of hepatitis B surface antigen or anti-hepatitis C virus antibodies, alcohol consumption, administration of medical treatment that may elevate ALT or lead to hepatic steatosis, known diabetes, and major chronic diseases including renal, cardiovascular, and lung diseases, uncontrolled hypertension, inflammatory bowel disease, active cancer, autoimmune disorders, and orthopedic contraindications for resistance training (RT). Adults with diabetes were excluded to avoid a confounding effect, as it is unclear whether they would have the same response to physical training and as changes in antidiabetic medications might occur during the trial. Patients who had been regularly performing RT in the 3 or 6 months before study enrolment and patients with recent weight reduction (more than 3 kg in the last 3 months) were also excluded.
To avoid a type II error, a preliminary power analysis [power (1−β error probability) = 0.85, α = 0.01, effect size = 0.5] determined a sample size of 32 for this study. This effect size was chosen because it yielded a realistic sample size  .
To avoid bias after patients had been assessed for eligibility and recruited, patients were randomly assigned to either group A or group B. Group A patients participated in a CWT program (2-3 circuits), with 10 repetitions (with a 2 min rest between each circuit), 3 days/week for 12 weeks; group B patients participated in an aerobic training program (30-40 min) 3 days/week for 12 weeks. Patient allocation was by means of random numbers using opaque envelopes prepared by an independent person.
A low-calorie diet (LCD) must be lower than the person's energy requirement and energy expenditure. It usually produces an energy deficit of 500-1000 calories per day. Diets consisting of between 800 and 1200 kcal/day are classified as LCDs. The constituents of LCDs should be as follows: fat 30% of total caloric intake (TCI), complex carbohydrates such as grains and fruits 55% of TCI, protein 15% of TCI (low-fat meat, fish, chicken, and high-protein bean), and 20-30 g fiber/day  .
Initially, data on the patients' characteristics were collected in the first session - namely, height (measured to the nearest 0.1 cm with the participant standing in an erect position against a vertical scale of a portable stadiometer), and weight (kg) (measured to the nearest 0.1 kg using a standard weight scale).
Resting heart rate (beats/min), resting respiratory rate (cycle/min), and blood pressure were measured during the sessions to exclude any signs or symptoms that may interfere with the continuity of the study. BMI (kg/m 2 ) was calculated as weight in kilograms divided by squared height in meters. Waist circumference was measured using an anthropometric tape at the level of the umbilicus.
Each participant underwent biochemical testing for liver enzymes and serum lipid profile. Blood samples were drawn from the median cubital vein at baseline and at week 12 after fasting for 12 h.
Ultrasonographic examination for determination of nonalcoholic fatty liver disease
Fatty liver was assessed by abdominal ultrasonography using standardized criteria  . Ultrasonography was performed with the same equipment (EUB-8500 scanner; Hitachi Medical Corporation, Tokyo, Japan) and by the same experienced radiologist. The radiologist was blinded to patient allocation and to laboratory values and medical history of the participants. During the ultrasonography, a histogram of brightness levels - that is, a graphical representation of echo intensity within a region of interest (ROI) - was obtained. In the liver, the ROI was measured in the seventh or eighth intercostal space in the mid or anterior axillary line in the superficial aspect of the liver. In the right kidney, the ROI was determined as the cortical area between the pyramids.
The brightness level for each organ was recorded and the ratio between the median brightness level of the liver and the right kidney cortex was calculated to determine the hepatorenal-ultrasound index (HRI). The HRI has been previously demonstrated to be highly reproducible (r = 0.77, P<0.001, k = 0.86) and was validated against liver biopsy  . HRI of 1.5 or more indicates fatty liver.
Exercise training protocols
Sufficient warm-up and cooling down (about 10-15 min) in the form of stretching of major muscle groups, flexibility movements, active movements of limbs, breathing exercises, and walking at low intensity (50% of maximum heart rate) was performed before and after both CWT and aerobic training sessions. Sufficient time was taken to familiarize the participants in the CWT group with the RT machines by making the participants do one set of each exercise on different weight machines, which were repeated 10 times. Sufficient time was also taken to familiarize the participants in the aerobic training group with the treadmill and safety measures.
For both groups closely supervised exercise training was regularly held at a frequency of three sessions per week. Participants were encouraged to have sweetened eatables or beverages during training to compensate for probably occurring hypoglycemic episodes. Also they were advised not to eat heavy meals at least 2 h before training.
Resistance circuit weight training program
The American College of Sports Medicine (2011) specified the following parameters: load: 70-80% 1RM; number of repetitions: 10; number of circuits: 2-3; rest between circuits: 2 min; frequency: 3 days/week.
The following exercises (stations) were performed: bench press, seated row, shoulder press, chest press, lateral pull down, abdominal crunches, leg press, leg extension, triceps pushdown, and seated bicep curls. Sixteen patients participated in a CWT exercise program performed for 30 min, three times per week, for 12 weeks. Closely supervised training techniques were adopted for participants of this group after proper warm-up to minimize the risk of musculoskeletal injuries. The program progressed gradually in frequency and intensity. The protocol initially consisted of twice weekly sessions for the first month, which was increased to 3 nonconsecutive days' sessions per week for the following 2 months  .
The intensity progress for the CWT group followed a stepwise manner in which there was a gradual increase by 2.5% of one-repetition maximum (1RM) every 2 weeks. Moderate resistance was used in which 60-65% of 1RM was used during the first month, and then the intensity was increased to 70-80% of 1RM in the subsequent months. The training program started with one to two sets of 10 repetitions of 10 different exercises for upper and lower body during the first month, which was increased to three sets of 10 repetitions of 10 different exercises (stations) for upper and lower body for the subsequent 2 months. CWT exercises were performed with a 90-120 s rest between each exercise group (station). Between each station the patient performed treadmill exercise, maintaining their rate of perceived exertion between 13 and 14 on the Borge's score scale  .
Aerobic exercise program
After warming up, the participants of this group performed treadmill walking three times per week (on nonconsecutive days). The duration of exercise was increased from 20 min per session (at 60% of maximum heart rate) to 30 min (at 75% of maximum heart rate) per session  .
Aerobic exercise intensity was determined by the Karvonen formula in which target heart rate = [(max HR−resting HR)΄% intensity]+resting HR, where maximum heart rate = 220-age  . All 32 participants willingly adhered to and completed the training programs. No serious adverse effect was reported in either training group.
| Results|| |
This study was conducted to investigate the effect of high-intensity CWT versus aerobic training in patients with NAFLD by exploring the effect of 3 months of high-intensity CWT versus aerobic training on anthropometric parameters, lipid profile, liver enzymes, and liver steatosis assessed by abdominal ultrasound using the HRI as a quantitative objective measurement of steatosis.
Baseline (pretraining) demographic and anthropometric characteristics of patients in both groups
The baseline (pretraining) evaluation revealed nonsignificant statistical differences between the two groups (CWT group (A) and aerobic training group (B)) regarding the demographic and anthropometrics characteristics, including gender, age, height, weight, body mass index, and waist circumference (P > 0.05), as shown in [Table 1].
|Table 1 Baseline (pretraining) demographic and anthropometric characteristics of patients in the two groups (mean ± SD)|
Click here to view
Baseline (pretraining) clinical parameters in both groups
The results of this study revealed that there were nonsignificant statistical differences between the two groups before treatment in the measured clinical parameters with respect to blood tests, including lipid profile [total cholesterol, triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL)], liver enzymes [ALT and aspartate aminotransferase (AST)], and liver steatosis on imaging as assessed by the HRI (P > 0.05), as shown in [Table 2]. Results are illustrated in [Figure 1] [Figure 2] [Figure 3].
|Figure 3: Baseline (pretraining) hepatorenal-ultrasound index (HRI) in the two groups|
Click here to view
Anthropometric and clinical parameters in the two groups after 3 months of training
Anthropometric and clinical parameters in the circuit weight training group
Anthropometric parameters: Regarding anthropometric parameters (weight, BMI, and waist circumference) results revealed that there were statistically significant differences between pretraining and post-training values. Concerning group A, the percentage changes were −12.36, -9.85, and -9.49% and P-values were 0.001, 0.001, and 0.002, respectively. Results are presented in [Table 3] and illustrated in [Figure 4].
|Figure 4: Anthropometric parameters in the circuit weight training group|
Click here to view
|Table 3 Anthropometric and clinical parameters in the circuit weight training group|
Click here to view
Regarding lipid profile (total cholesterol, triglyceride, HDL, and LDL), results revealed that there were statistically significant differences between pretraining and post-training values. Concerning group A, the percentage changes were -4.43, -9.22, -4.64, and -5.29% and P-values were 0.007, 0.001, 0.004, and 0.015, respectively. Results are presented in [Table 3] and illustrated in [Figure 5].
|Figure 5: Clinical parameters (lipid profile) in the circuit weight training group after 3 months of training|
Click here to view
Regarding liver enzymes (ALT and AST), results revealed that there were statistically significant differences between pretraining and post-training values. Concerning group A, the percentage changes were −10.19 and -8.28% and P-values were 0.018 and 0.008, respectively. Results are presented in [Table 3] and illustrated in [Figure 6].
|Figure 6: Clinical parameters (liver enzymes) in the circuit weight training group after 3 months of training|
Click here to view
Regarding liver steatosis on imaging as assessed by the HRI, results revealed that there was a statistically significant difference between pretraining and post-training values. Concerning group A, the percentage change was −18.00% and P-value was 0.002. Results are presented in [Table 3] and illustrated in [Figure 7].
|Figure 7: Hepatorenal-ultrasound index (HRI) in the circuit weight training group after 3 months of training|
Click here to view
Anthropometric and clinical parameters in the aerobic training group
Anthropometric parameters: Regarding anthropometric parameters (weight, BMI, and waist circumference), results revealed statistically significant differences between pretraining and post-training values. Concerning group B, the percentage changes were −5.31, −5.22, and −3.91% and P-values were 0.001, 0.001, and 0.001, respectively. Results are presented in [Table 4] and illustrated in [Figure 8].
|Figure 8: Anthropometric parameters in the aerobic training group after 3 months of training|
Click here to view
|Table 4 Anthropometric and clinical parameters in the aerobic training group|
Click here to view
Regarding the lipid profile (total cholesterol, triglycerides, HDL, and LDL), results revealed statistically significant differences between pretraining and post-training values. Concerning group B, the percentage changes were −2.14, −2.17, −0.28, and −2.63% and P-values were 0.038, 0.019, 0.023, and 0.040, respectively. Results are presented in [Table 4] and illustrated in [Figure 9].
|Figure 9: Clinical parameters (lipid profile) in the aerobic training group after 3 months of training|
Click here to view
Regarding liver enzymes (ALT and AST), results revealed statistically significant differences between pretraining and post-training values. Concerning group B, the percentage changes were -7.55 and -5.47% and P-values were 0.007 and 0.009, respectively. Results are presented in [Table 4] and illustrated in [Figure 10].
|Figure 10: Clinical parameters (liver enzymes) in the aerobic training group after 3 months of training|
Click here to view
Regarding liver steatosis on imaging as assessed by the HRI, results revealed a statistically significant difference between pretraining and post-training values. Concerning group B, the percentage change was -8.54% and P-value was 0.001. Results are presented in [Table 4] and illustrated in [Figure 11].
|Figure 11: Hepatorenal-ultrasound index (HRI) in the aerobic training group after 3 months of training|
Click here to view
Comparison between the two groups regarding anthropometric and clinical parameters after 3 months of training
Regarding anthropometric parameters (weight, BMI, and waist circumference), the results of this study revealed statistically significant differences between the two groups after 3 months of training, except for BMI, with P-values of 0.036, 0.293, and 0.012, respectively, favoring the CWT group (group A). Results are presented in [Table 5] and illustrated in [Figure 12].
|Figure 12: Comparison between the two groups regarding anthropometric parameters after 3 months of training|
Click here to view
|Table 5 Comparison between the two groups regarding anthropometric and clinical parameters after 3 months of training|
Click here to view
Regarding lipid profile parameters (triglycerides, HDL, and LDL), the results of this study revealed no statistically significant differences between the two groups after 3 months of training (P = 0.086, 0.984, and 0.076, respectively). However, there was a statistically significant difference between the two groups with regard to total cholesterol (P = 0.018), favoring group B. Results are presented in [Table 5] and illustrated in [Figure 13].
|Figure 13: Comparison between the two groups regarding clinical parameters (lipid profile) after 3 months of training|
Click here to view
Regarding liver enzyme levels (ALT and AST), results revealed no statistically significant difference between the two groups after 3 months of training (P = 0.946 and 0.965, respectively). Results are presented in [Table 5] and illustrated in [Figure 14].
|Figure 14: Comparison between the two groups regarding clinical parameters after 3 months of training|
Click here to view
Regarding liver steatosis on imaging as assessed by the HRI, results revealed a statistically significant difference between the two groups after 3 months of training (P = 0.017), favoring group A. Results are presented in [Table 5] and illustrated in [Figure 15].
|Figure 15: Comparison between the two groups regarding hepatorenalultrasound index (HRI) after 3 months of training|
Click here to view
Correlation between the changes in waist circumference and hepatorenal-ultrasound index in the two groups after 3 months of training
Pearson's correlation was used to correlate between the changes in waist circumferences and the reduction in HRI in the two groups after 3 months of training. In both groups, there was a strong positive correlation between waist circumference and HRI (r = 0.645 and 0.561, respectively). Results are presented in [Table 6] and illustrated in [Figure 16].
|Figure 16: Correlation between the changes in waist circumference and hepatorenal-ultrasound index (HRI) in the two groups after 3 months of training|
Click here to view
|Table 6 Correlation between the changes in waist circumference and hepatorenal-ultrasound index in the two groups after 3 months of training|
Click here to view
| Discussion|| |
In this randomized controlled trial, NAFLD patients underwent either CWT or aerobic exercise training for 3 months. The results suggest that CWT exerts beneficial effects on several anthropometric and clinical parameters, including liver steatosis and body composition.
The HRI score was significantly reduced in the CWT group as compared with the aerobic exercise training group (−0.38 ± 0.37 vs. −0.17 ± 0.28, P = 0.017), representing an 18 versus 8.54% relative reduction from baseline in the two groups, respectively. CWT also improved body composition, most importantly waist circumference, which was positively correlated with the change in HRI.
PA is a documented modality for weight reduction in NAFLD therapy. In an observational analysis of 348 patients with NAFLD, after 1 year Suzuki et al.  demonstrated an improvement in transaminase levels with weight loss, and they concluded that reducing weight by at least 5% with subsequent weight control and exercising regularly may be beneficial in treating NAFLD.
The beneficial effect of aerobic exercise in NAFLD is supported by clinical trials demonstrating a relative reduction of hepatic triglyceride concentration by 21-35% following supervised training such as cycling. However, in a trial of a more modest activity that included brisk walking, there was a relative reduction of 10.3% in liver fat, similar to the one observed in the present study , .
Cross-sectional studies have shown that higher levels of PA are associated with lower levels of intrahepatic triglyceride IHTG , . Previous studies have reported a beneficial effect of aerobic exercise on liver function, independent of weight reduction , .
In recent years, there has been increased attention on RT as a useful adjunctive tool of exercise. Johnson et al. showed that RT without a concomitant weight-loss diet significantly improved insulin sensitivity and fasting glycemia and decreased abdominal fat  .
The 2007 update of the American Heart Association dealing with resistance exercise (RE) concludes that RT should be viewed as a complement to aerobic exercise  . However, the beneficial effect of RT for patients with steatosis was so far not supported by strong evidence.
The benefit of PA alone in the absence of any changes in body weight was examined in NAFLD patients. Hallsworth et al. assigned 19 sedentary adults with NAFLD to 8 weeks of RE. Eleven were assigned to RE and eight to normal treatment; they showed a benefit of RE as a lipid-lowering treatment for NAFLD independent of weight loss  .
In previous published trials on the effect of RT in adult NAFLD patients, there was a significant improvement in glycemic control and no improvement in liver enzymes , . Our study did not demonstrate improved glucose metabolism. This discrepancy may stem from the exclusion of diabetic patients from our study. It was previously shown that RT improves hyperglycemia only in patients with disturbed glucose metabolism or diabetes , . Our study showed significant improvement in liver enzyme levels (ALT and AST) within groups but with no difference between groups.
Another beneficial effect of RT in our study was a significant reduction in serum cholesterol. Although data regarding the effect of RT on lipid metabolism are equivocal, reduction in serum total cholesterol and LDL by RT has been previously demonstrated in a meta-analysis of randomized controlled trials  . It is well established that liver steatosis is associated with IR and lipid abnormalities, including alteration in cholesterol metabolism , . Recent data show that increased IR contributes to the shift in cholesterol metabolism to increased synthesis and decreased absorption, independent of body weight , . Several studies have demonstrated that RT improves IR, including hepatic IR , , and therefore may contribute to decreased synthesis of hepatic cholesterol.
Induction of adipose tissue loss by RT through an increase in metabolic rate has been reported previously  . One possibility is that myogenesis induced by CWT leads to recruitment of a large number of muscle fibers, resulting in an increase in the metabolic potential to burn fat. Another possibility is that of activation of the sympathetic nervous system by CWT, which induces lipolysis in white adipose tissue, resulting in reduction of body fat  .
Recently, skeletal muscle has been identified not only as a component of the locomotor system but also as a metabolic organ engaged in glucose and fatty acid metabolism similar to the liver and adipose tissue  . RT is hypothesized to reduce the amount of hepatic fat through a mechanism involving insulin sensitivity and fatty acid metabolism  .
In NAFLD, the level of intrahepatic lipid increases through induction of de-novo lipogenesis resulting from induced expression and activation of transcription factors, such as sterol regulatory element-binding protein-1c and carbohydrate response element-binding protein, in response to increased insulin levels. In addition, increased levels of triglyceride intermediates inhibit insulin-stimulated glucose uptake, suggesting a vicious cycle whereby inhibition of insulin action by high intrahepatic lipid levels in the liver triggers a further increase in intrahepatic lipid levels  .
It has been reported that RT restores insulin sensitivity and increases systemic glucose metabolism through induction and activation of skeletal muscle glucose transporter type 4, followed by an increase in glucose uptake by skeletal muscle and induction of glycogen synthesis , . RT has also been shown to reduce hepatic fatty acid uptake and increased utilization of fatty acids by skeletal muscle through enhanced myogenesis, leading to a reduction in hepatic fat content  .
The effect of WBV training on the endocrine system in normal male individuals was investigated by Di Loreto and colleagues under the hypothesis that application of vibrations would be effective in the treatment of obesity. They showed that WBV training improved glucose utilization by increasing the consumption of circulating plasma glucose for muscle contraction, indicating that WBV training improves insulin sensitivity. Thus, long-term WBV training is believed to attenuate IR in obese and diabetic patients by repeated vibratory stimulation of skeletal muscles, subsequently leading to muscle contractions. A similar mechanism is assumed to be relevant in AT  .
| Conclusion|| |
In NAFLD patients, compliance may be even lower because fatigue has been demonstrated to be markedly higher in NAFLD patients compared with controls, and is associated with inactivity and excessive daytime sleepiness. Therefore, an alternative or a complement form of exercise that may be easier to perform or to adhere to, such as RT, may be helpful in the treatment of NAFLD patients. This randomized controlled trial demonstrated a significant reduction in steatosis, as assessed by HRI, after 3 months of CWT, accompanied by favorable anthropometric and lipid profile, and liver enzyme changes. CWT may serve as a complement to the treatment of NAFLD.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Mavrogiannaki AN, Migdalis IN. Nonalcoholic fatty liver disease, diabetes mellitus and cardiovascular disease: newer data. Int J Endocrinol 2013; 2013:450639.
Sanyal AJ, Brunt EM, Kleiner DE. Endpoints and clinical trial design for nonalcoholic steatohepatitis. Hepatology 2011; 54:344-353.
Anstee QM, Targher G, Day CP. Progression of NAFLD to diabetes mellitus, cardiovascular disease or cirrhosis. Nat Rev Gastroenterol Hepatol 2013; 10:330-344.
Vanni E, Bugianesi E, Kotronen A. From the metabolic syndrome to NAFLD or vice versa? Dig Liver Dis 2010; 42:320-330.
Loria P, Carulli L, Bertolotti M, Lonardo A. Endocrine and liver interaction: the role of endocrine pathways in NASH. Nat Rev Gastroenterol Hepatol 2009; 6:236-247.
Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Aliment Pharmacol Ther 2011; 34:274-285.
Kubik JF, Gill RS, Laffin M. The impact of bariatric surgery on psychological health. J Obes 2013; 2013:837989.
Fontaine KR, Redden DT, Wang C. Years of life lost due to obesity. JAMA 2003; 289:187-193.
Kaplan MS, Huguet N, Newsom JT. Prevalence and correlates of overweight and obesity among older adults: findings from the Canadian National Population Health Survey. J Gerontol A Biol Sci Med Sci 2003; 58:1018-1030.
Bechmann LP, Hannivoort RA, Gerken G. The interaction of hepatic lipid and glucose metabolism in liver diseases. J Hepatol 2012; 56:952-964.
Williams CD, Stengel J, Asike MI. Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis among a largely middle-aged population utilizing ultrasound and liver biopsy: a prospective study. Gastroenterology 2011; 140:124-131.
Bellentani S, Saccoccio G, Masutti F. Prevalence of and risk factors for hepatic steatosis in Northern Italy. Ann Intern Med 2000; 132:112-117.
Silverman JF, O'Brien KF, Long S. Liver pathology in morbidly obese patients with and without diabetes. Am J Gastroenterol 1990; 85: 1349-1355.
Hsiao TJ, Chen JC, Wang JD. Insulin resistance and ferritin as major determinants of nonalcoholic fatty liver disease in apparently healthy obese patients. Int J Obes Relat MetabDisord 2004; 28:167-172.
Marin P, Andersson B, Ottosson M. The morphology and metabolism of intraabdominal adipose tissue in men. Metabolism 1992; 41:1242-1248.
Stefan N, Kantartzis K, Machann J. Identification and characterization of metabolically benign obesity in humans. Arch Intern Med 2008; 168: 1609-1616.
Stefan N, Haring HU. The metabolically benign and malignant fatty liver. Diabetes 2011; 60:2011-2017.
Harrison SA, Day CP. Benefits of lifestyle modification in NAFLD. Gut 2007; 56:1760-1709.
Kraemer WJ, Ratamess NA. Fundamentals of resistance training: progression and exercise prescription. Med Sci Sports Exerc 2004; 36:674-688.
Johnson NA, George J. Fitness versus fatness: moving beyond weight loss in nonalcoholic fatty liver disease. Hepatology 2010; 52:370-381.
Newton JL, Jones DE, Henderson E. Fatigue in non-alcoholic fatty liver disease (NAFLD) is significant and associates with inactivity and excessive daytime sleepiness but not with liver disease severity or insulin resistance. Gut 2008; 57:807-813.
Frith J, Day CP, Robinson L. Potential strategies to improve uptake of exercise interventions in non-alcoholic fatty liver disease. J Hepatol 2010; 52:112-116.
Farrell GC, Chitturi S, Lau GK. Guidelines for the assessment and management of non-alcoholic fatty liver disease in the Asia-Pacific region: executive summary. J Gastroenterol Hepatol 2007; 22:775-777.
Welkowitz J, Ewen RB, Cohen J. Introductory statistics for the behavioral sciences
. 3rd ed. San Diego, CA: Harcourt Brace Jovanovich; 1982.
Strychar I. Diet in the management of weight loss. Can Med Assoc J 2006; 174:56-63.
Nielsen SJ, Popkin BM. Changes in beverage intake between 1977 and 2001. Am J Prev Med 2004; 27:205-210.
Gore R Diffuse liver disease. In: Gore R, Levine M, Laufer I editors. Textbook of gastrointestinal radiology
. Philadelphia: Saunders; 1994. 1968-2017.
Webb M, Yeshua H, Zelber-Sagi S. Diagnostic value of a computerized hepatorenal index for sonographic quantification of liver steatosis. Am J Roentgenol 2009; 192:909-914.
Franklin BA. ed. American college of sports medicine: guidelines for exercises testing and prescription
. 7th ed. Baltimore, MD: Lippincott Williams & Wilkins; 2006. 220-223.
Yavari A, Najafipoor F, Aliasgarzadeh A. Effect of aerobic exercise, resistance training or combined training on glycaemic control and cardio-vascular risk factors in patients with type 2 diabetes. Biol Sport 2012; 29:135-143.
Karvonen MJ, Kentala E, Mustalo O. The effects of training on heat rate; a longitudinal study. Ann Med Exp Biol Fenn.1957; 35:307-315.
Suzuki A, Lindor K, Saver JSt. Effect of changes on body weight and lifestyle in nonalcoholic fatty liver disease. J Hepatol 2005; 43:1060-1066.
Johnson NA, Sachinwalla T, Walton DW. Aerobic exercise training reduces hepatic and visceral lipids in obese individuals without weight loss. Hepatology 2009; 50:1105-1112.
Sullivan S, Kirk EP, Mittendorfer B. Randomized trial of exercise effect on intrahepatic triglyceride content and lipid kinetics in nonalcoholic fatty liver disease. Hepatology 2012; 55:1738-1745.
George A, Bauman A, Johnston A. Independent effects of physical activity in patients with nonalcoholic fatty liver disease. Hepatology 2009; 50: 68-76.
Zelber-Sagi S, Nitzan-Kaluski D, Goldsmith R. Role of leisure-time physical activity in nonalcoholic fatty liver disease: a population-based study. Hepatology 2008; 48:1791-1798.
Sreenivasa Baba C, Alexander G, Kalyani B. Effect of exercise and dietary modification on serum aminotransferase levels in patients with nonalcoholic steatohepatitis. J Gastroenterol Hepatol 2006; 21:191-198.
Williams MA, Haskell WL, Ades PA. Resistance exercise in individuals with and without cardiovascular disease: 2007 update: a scientific statement from the American Heart Association Council on Clinical Cardiology and Council on Nutrition, Physical Activity, and Metabolism. Circulation 2007; 116:572-584.
Ibañez J, Izquierdo M, Argüelles I. Twice-weekly progressive resistance training decreases abdominal fat and improves insulin sensitivity in older men with type 2 diabetes. Diab Care
Hallsworth K, Fattakhova G, Hollingsworth KG. Resistance exercise reduces liver fat and its mediators in non-alcoholic fatty liver disease independent of weight loss. Gut 2011; 60:1278-1283.
Bacchi E, Negri C, Targher G. Both resistance training and aerobic training reduce hepatic fat content in type 2 diabetic subjects with nonalcoholic fatty liver disease (the RAED2 Randomized Trial). Hepatology 2013; 58:1287-1295.
Castaneda C, Layne JE, Munoz-Orians L. A randomized controlled trial of resistance exercise training to improve glycemic control in older adults with type 2 diabetes. Diabetes Care 2002; 25:2335-2341.
Hameed UA, Manzar D, Raza S. Resistance training leads to clinically meaningful improvements in control of glycemia and muscular strength in untrained middle-aged patients with type 2 diabetes mellitus. N Am J Med Sci 2012; 4:336-343.
Kelley GA, Kelley KS. Impact of progressive resistance training on lipids and lipoproteins in adults: a meta-analysis of randomized controlled trials. Prev Med 2009; 48:9-19.
Speliotes EK, Massaro JM, Hoffmann U. Fatty liver is associated with dyslipidemia and dysglycemia independent of visceral fat: the Framingham Heart Study. Hepatology 2010; 51:1979-1987.
Kim LJ, Nalls MA, Eiriksdottir G. Associations of visceral and liver fat with the metabolic syndrome across the spectrum of obesity: the AGESReykjavik study. Obesity (Silver Spring) 2011; 19: 1265-1271.
Simonen P, Kotronen A, Hallikainen M. Cholesterol synthesis is increased and absorption decreased in non-alcoholic fatty liver disease independent of obesity. J Hepatol 2011; 54:153-159.
Hoenig MR, Sellke FW. Insulin resistance is associated with increased cholesterol synthesis, decreased cholesterol absorption and enhanced lipid response to statin therapy. Atherosclerosis 2010; 211:260-265.
Brooks N, Layne JE, Gordon PL. Strength training improves muscle quality and insulin sensitivity in Hispanic older adults with type 2 diabetes. Int J Med Sci 2007; 4:19-27.
Vissers D, Verrijken A, Mertens I, et al.
Effect of long-term whole body vibration training on visceral adipose tissue: a preliminary report. Obes Facts.
So R, Eto M, Tsujimoto T. Acceleration training for improving physical fitness and weight loss in obese women. Obes Res Clin Pract 2014; 8:e238-e248.
Jensen J, Rustad PI, Kolnes AJ. The role of skeletal muscle glycogen breakdown for regulation of insulin sensitivity by exercise. Front Physiol 2011; 2:112.
Hallsworth K, Fattakhova G, Hollingsworth KG, et al.
Resistance exercise reduces liver fat and its mediators in non-alcoholic fatty liver disease independent of weight loss. Gut 2011; 60:1278-1283.
Fabbrini E, Sullivan S, Klein S. Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications. Hepatology 2010; 51:679-689.
Holten MK, Zacho M, Gaster M. Strength training increases insulin-mediated glucose uptake, GLUT4 content, and insulin signaling in skeletal muscle in patients with type 2 diabetes. Diabetes 2004; 53:294-305.
Di Loreto C, Ranchelli A, Lucidi P, et al.
Effects of whole-body vibration exercise on the endocrine system of healthy men. J Endocrinol Invest 2004; 27:323-327.
[Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9], [Figure 10], [Figure 11], [Figure 12], [Figure 13], [Figure 14], [Figure 15], [Figure 16]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]