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Physical Activity Associates with Muscle Insulin Sensitivity Postbariatric Surgery


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Medicine & Science in Sports & Exercise: February 2019 - Volume 51 - Issue 2 - p 278-287
doi: 10.1249/MSS.0000000000001778
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Obesity is a disease with increased morbidity due to several conditions including type 2 diabetes, cardiovascular disease and cancer, and it is associated with increased risk of overall mortality (1). It is a chronic condition often difficult to treat as weight loss requires intense lifestyle interventions such as dieting and regular physical exercise, and resulting weight change may not be permanent.

Bariatric surgery is considered as a highly effective treatment option for severe to morbid obesity, some form or variation of gastric bypass being the most common procedure after unsuccessful conservative treatments. Besides weight loss, decrease in mortality and increase in quality of life, the remission of type 2 diabetes mellitus (T2DM) is an important outcome of bariatric surgery. T2DM remission is achieved in most of the diabetic patients after Roux-en-Y gastric bypass operation (2–4), and it may be due to a decrease in hepatic and peripheral insulin resistance or improvement in insulin secretion and glycemic control. We have previously shown tissue-specific improvements in insulin sensitivity after laparoscopic Roux-en-Y gastric bypass and gastric sleeve operations (5–7).

Until recently, the role of physical activity has been considered minimal in bariatric surgery patients (8,9), and at the moment, there are no physical activity guidelines for bariatric surgery patient population. However, recent clinical intervention studies have shown postoperative exercise training to induce several health benefits by improving muscle mitochondrial dysfunction (10), whole-body insulin sensitivity and cardiorespiratory fitness (11) as well as glucose tolerance (12) in bariatric surgery patients after operation. Although bariatric surgery decreases both fat mass and lean body mass (13), postoperative exercise training can maintain skeletal muscle mass (14), suggesting that postoperative body composition could be positively affected by regular exercise. Moreover, a recent study showed that exercise training after 12 to 24 months of surgery, suggested as time point of potential weight regain, improves body composition and functional walking ability (15). Thus, physical exercise could potentially be successful adjunct therapy for surgery-induced caloric restriction and produce further tissue-specific metabolic benefits in addition to surgery. The effects of physical activity and exercise on postoperative fat distribution and the loss of fat in different depots, especially decrease in visceral fat, are currently unclear (16).

As skeletal muscle is a major site of glucose usage and peripheral insulin resistance, the aim of the current study was to investigate whether self-reported habitual physical activity associates with improved insulin sensitivity in whole-body level and especially in skeletal muscle tissue after bariatric surgery. We also investigated whether postoperative self-reported physical activity is associated with the reduction of specific fat depots, especially visceral adiposity and liver fat content, both ectopic fat storages associated within chronic inflammation, lipid-induced insulin resistance and metabolic dysfunction.

The current study is part of two larger bariatric surgery data collections (SLEEVEPASS study, NCT00793143, described previously by Helmiö and colleagues (17) and SleevePET study, NCT01373892) and the results of muscle positron emission tomography imaging with radiotracer 18F-fluorodeoxyglucose positron emission tomography ([18F] FDG PET) and liver magnetic resonance spectroscopy (MRS) have been published earlier in a subset of patients (5–7).



Forty-six subjects (4 males, 42 females) were recruited among patients undergoing surgical procedure as part of their obesity treatment at the Hospital District of Southwest Finland. Twenty-five age-matched, healthy and normal weight volunteers (2 males, 23 females, median body mass index [BMI], 23.2 kg·m−2) were recruited via local newspaper ads. The inclusion criteria were age 18 to 60 yr, BMI over 40 or 35 kg·m−2 with an additional risk factor and failure of previous, carefully planned conservative treatments for severe obesity. Individuals with excessive use of alcohol or poor compliance, severe mental disorder, eating disorder or diabetes mellitus requiring insulin treatment were excluded. Due to imaging device weight limitation, patients with body weight over 150 kg were also excluded. At the baseline, 18 (39%) of the 46 obese patients fulfilled American Diabetes Association classified T2DM criteria (18). Eleven (39%) of the 28 non-T2DM patients had prediabetic condition (three impaired fasting glucose [IFG] and eight impaired glucose tolerance [IGT]), 17 (61%) were normoglycemic. Patients were treated with metformin only (n = 10), and with metformin combined to additional gliptins (n = 3), glitazones (n = 2), sulphonylurea (n = 1), and DPP4 inhibitors (n = 3).

Study design

The study protocol was approved by the Ethics Committee of the Hospital District of Southwest Finland and was conducted by the principles of the Declaration of Helsinki. Written informed consent form was obtained prior the study from each study participant. Patients were randomized to undergo either laparoscopic Roux-en-Y gastric bypass (n = 21) or laparoscopic gastric sleeve (n = 25) operation.

At the screening stage, the medical history of prior conservative treatments for obesity was assessed and blood tests and oral glucose tolerance test were performed for all study subjects. The criteria of American Diabetes Association were used for screening of impaired fasting blood glucose level and for IGT. Patients were instructed to withhold from glucose-lowering medications 24 to 72 h before the metabolic studies. The postoperational phase was conducted 6 months after the operation, when the greatest average weight loss is observed according to the study by the Longitudinal Assessment of Bariatric Surgery Consortium (19), and all studies were repeated similarly as before the operation. Healthy participants were studied once. The study design is illustrated in Figure 1.

Study flowchart.

Physical activity questionnaire

The assessment of habitual physical activity was performed using a self-report questionnaire by Baecke et al. (20) for all participants. Baecke questionnaire has been widely used in physical activity research and has been validated in a population with obesity by Tehard et al. (21). It consists of 16 questions divided into three sections: physical activity at work, during leisure time (sport excluded) and during sport. Three indices measuring the level of habitual physical activity are derived (work, leisure and sport index). The data was collected during face-to-face interviews conducted by research personnel under supervision of an exercise physiologist.

PET study and euglycemic hyperinsulinemic clamp

Insulin-stimulated skeletal muscle glucose uptake was measured in 23 patients and in 10 healthy participants with [18F]FDG PET method during euglycemic hyperinsulinemic clamp after an overnight fast. The euglycemic hyperinsulinemic clamp technique was used as previously described (22,23).

Image acquisition and processing

The synthesis of [18F]FDG was performed as described by Hamacher et al. (24). Patients lay in supine position in an integrated PET scanner (GE Discovery ST System, General Electric Medical Systems, Milwaukee, WI) and a transmission scan was performed. Thereafter, a [18F]FDG bolus (187 ± 10 MBq) was injected intravenously at the time point of 110 ± 10 min from the start of euglycemic hyperinsulinemic clamp. Dynamic scanning (frames, 3 × 300 s) of femoral region started 127 ± 10 min after the [18F]FDG injection. Arterialized blood samples were drawn throughout the study, and plasma radioactivity was measured with an automatic gamma counter (Wizard 1480 3″, Wallac, Turku, Finland).

Measurement of m. quadriceps femoris and whole-body glucose uptake

Plasma and muscle tissue [18F]FDG time-activity data were analyzed graphically using three compartment model of [18F]FDG kinetics (25). Regional glucose uptake was assessed with Carimas 2.0.2 (PET Centre, Turku, Finland), an in-house image analysis software, by drawing volumes of interests manually on m. quadriceps femoris using magnetic resonance imaging (MRI) images as anatomical reference. Regional tissue time–activity curves were obtained from the volumes of interests. A regional fractional uptake rate (Ki) was then calculated using each regional time–activity curves and the plasma radioactivity curve. The rate of tissue glucose uptake was calculated by multiplying the fractional rate of tracer uptake (Ki, min−1) by the mean plasma glucose concentration (mmol·L−1) sampled during the PET scanning. Lumped constant of 1.2 was used for skeletal muscle tissue. Insulin-stimulated skeletal muscle glucose uptake is expressed as micromoles (glucose) per minute per kilogram.


Abdominal fat masses and liver fat content (LFC) were assessed using a 1.5-T MR imager (Gyroscan Intera CV Nova Dual; Philipis Medical Systems, Best, the Netherlands) with flexible surface and body coils. MRI was performed to obtain abdominal visceral and subcutaneous adipose tissue masses in 44 patients and 25 healthy participants. Axial T1-weighted dual fast field echo images (TE 2.3 and 4.6 ms, TR 120 ms, slice thickness 10 mm without gap), covering thorax and abdomen were acquired. SliceOmatic software version 4.3 was used to calculate the abdominal adipose tissue volumes ( The regions of interest were drawn semi-automatically using Morpho-mode for subcutaneous fat and Region Growing-mode for visceral fat depots. Fat volume was calculated automatically by SliceOmatic. LFC was measured with MRS as previously described by Borra et al. (26) in 41 obese and in 22 healthy participants. Cutoff value of 5.1% was used for the determination of elevated LFC (26).

Body composition

Body composition was measured using bioelectric impedance (Omron BF400). Although the hydration of the soft tissues in obese subjects may cause errors in the bioelectric impedance analysis, it has been shown to be a reasonable method to assess body composition among bariatric surgery patients in group level (27,28). Height, weight, and waist circumference were measured using standard procedures.

Biochemical and immunological analyses

Plasma glucose concentrations were measured in the laboratory of the Turku PET Centre in duplicate using the glucose oxidase method (Analox GM7 or GM9; Analox Instruments Ltd., London, UK). Fasting plasma insulin and C-peptide levels were determined by time-resolved immunofluorometric assay (AutoDELFIA; PerkinElmer Life and Analytical Sciences) in Turku University Hospital central laboratory. HOMA-IR index (29), the rate of insulin secretion (30), and the rate of insulin clearance (insulin secretion/concentration) (31) were calculated from oral glucose tolerance test data as previously described.

Serum concentrations of proinflammatory cytokines were measured using standard methods and performing quality control. The Luminex 200 and the Luminex XYPTM platform were from Luminex Corp. (Luminex, Austin, TX). The software, Bio-PlexTM Manager version 4.1 was from Bio-Rad (Bio-Rad Laboratories AB, Sweden). The array reader was calibrated by using Bio-Plex Calibration kit (kit cat no. 171-203060; Bio-Rad Laboratories AB, Sweden). The calibration curves for each analyte were calculated by the Bio-Plex 4.1 software. Serum samples were analyzed in duplicate by using Milliplex Human Serum Adipokine (panel A) kit (cat. no: HADK1-61 K-A containing resistin, methyl-accepting chemotaxis protein (MCP), interleukin one β (IL1β), interleukin 6 (IL6), interleukin 8 (IL8) and tumor necrosis factor alpha (TNFα) as recommended by the manufacturer (Millipore Corporation, USA).

Statistical analyses

The normality of variables was assessed by Shapiro–Wilk criteria and by visual evaluation. Data are presented as median and interquartile range (anthropometrics, metabolic variables and cytokines) or as mean and standard deviation (physical activity indices). Nonnormally distributed data were transformed by taking natural logarithm to achieve normal distribution assumption. Comparisons between study groups were made using Student’s t test for nonpaired data. In addition, Pearson correlation coefficients were calculated. Association between the anthropometrics, glucose profile and self-reported physical activity in preoperative and postoperative time points, and time–physical activity interaction were performed with hierarchical linear mixed modeling using the compound symmetry covariance structure for time. P-values less than 0.05 (two-tailed) denoted statistical significance. Statistical analyses were performed using SAS (Version 9.3 for Windows; SAS Inc., Cary, NC).


Before bariatric surgery

At the baseline, fasting concentrations of glucose and insulin were higher (P ≤ 0.001 for both) and the rate of hepatic insulin clearance was lower in patients with morbid obesity (P = 0.001) (Table 1). Twenty (49%) of the 41 patients had elevated LFC preoperatively. Hepatic insulin clearance correlated negatively with LFC (r = −0.383, P = 0.013), abdominal subcutaneous fat mass (r = −0.455, P = 0.002), and positively with insulin-stimulated whole-body (0.448, P = 0.032) and skeletal muscle glucose uptake (r = 0.532, P = 0.009). Waist circumference correlated negatively with insulin-stimulated whole-body glucose uptake (r = −0.536, P = 0.008) and with skeletal muscle glucose uptake (r = −0.473, P = 0.023).

Preoperatively, serum levels of proinflammatory cytokines TNFα (P = 0.026) and resistin (P = 0.01) were elevated in patients with morbid obesity, also serum level of MCP (P = 0.067) tended to be higher in patients compared to healthy participants (Table 2). IL1ß correlated positively with waist circumference (r = 0.518, P = 0.006). IL8 levels correlated negatively with insulin-stimulated whole-body glucose uptake (r = −0.591, P = 0.003), positively with HOMA-IR index (r = 0.347, P = 0.018), negatively with hepatic insulin clearance (r = −0.372, P = 0.011) and positively with LFC (r = 0.355, P = 0.023) in patients with morbid obesity. In addition, TNFα levels correlated negatively with insulin-stimulated whole-body (r = −0.498, P = 0.016) and skeletal muscle glucose uptake (r = −0.426, P = 0.016) before bariatric surgery. MCP levels correlated positively with waist circumference (r = 0.337, P = 0.02), LFC (r = 0.379, P = 0.014), and fasting glucose levels (0.403, P = 0.005).

Compared with healthy participants, leisure time (P ≤ 0.001), sport (P ≤ 0.001) and total physical activity (P ≤ 0.001) indices were lower in patients with morbid obesity at the baseline (Fig. 2A). Self-reported total physical activity index correlated positively (r = 0.415, P = 0.049) with insulin-stimulated glucose uptake in skeletal muscle (Fig. 3A) and with the rate of hepatic insulin clearance (r = 0.345, P = 0.02) and negatively with TNFα levels (−0.418, P = 0.004) and abdominal subcutaneous fat mass (r = −0.334, P = 0.029).

A, Baecke physical activity indices in healthy participants (white bars) and in patients pre (gray bars) and post (black bars) bariatric surgery. Data expressed as mean (+SD). Preoperative vs postoperative sport index (P = 0.0096) and total index (P = 0.0168) increased significantly. **P ≤ 0.01, ***P ≤ 0.001. Patients compared to healthy. #P ≤ 0.05, ###P ≤ 0.001. Preoperative vs postoperative values. B, Most frequently played sports according to Baecke physical activity questionnaire (item 9) before and after bariatric surgery in patients. †Strength training either at gym or at home, ‡Swimming, aqua jogging or aqua gymnastics.
A, Preoperative total physical activity index correlated with higher rate of insulin-stimulated skeletal muscle glucose uptake in bariatric surgery patients (r = 0.415, P = 0.049, logarithm transformed glucose uptake values). B, Only patients who had increase in the total physical activity index postoperatively had increase in the rate of insulin-stimulated skeletal muscle glucose uptake 6 months after bariatric surgery. ***P ≤ 0.001. Paired t test for preoperative (white bars) vs postoperative (black bars) glucose uptake values with logarithm transformation. #P ≤ 0.05. Increase in the physical activity index vs no increase postoperatively. C, Change in the total physical activity index correlated with the loss of visceral fat mass (r = −0.349, P = 0.029) 6 months after bariatric surgery.

After bariatric surgery

Surgery resulted in weight loss of 26.5 (8.0) kg within follow-up period of 6 months; however, patients’ weight remained in obese range at the postoperative study visit (Table 1). Abdominal subcutaneous and visceral fat masses decreased but were still over twice as high as in lean participants. Outcomes were similar with both surgical methods (data not shown). LFC decreased by 6.2 (6.3) percentage points and was normalized to the level of healthy participants in 17 (85%) of the 20 patients with preoperatively elevated LFC levels.

Diabetes was in full remission in 12 (67%) of 18 diabetic participants, one patient had IGT and three IFG after surgery. Three T2DM patients still used medication (2 metformin and one sitagliptin). HOMA-IR index was normalized to the level of healthy participants. The rate of hepatic insulin clearance improved and correlated negatively with abdominal subcutaneous fat mass (r = −0.516, P = 0.001) and LFC (r = −0.502, P = 0.001). Also, insulin-stimulated whole-body glucose uptake increased significantly (P ≤ 0.001) and correlated negatively with waist circumference (r = −0.431, P = 0.04), but remained low compared with healthy participants.

IL6 level decreased and correlated negatively with insulin-stimulated whole-body (r = −0.551, P = 0.006) and skeletal muscle glucose uptake (r = −0.477, P = 0.025) postoperatively. IL8 correlated negatively with the rate of hepatic insulin clearance (r = −0.400, P = 0.006). TNFα correlated positively with LFC (r = 0.339, P = 0.032), visceral fat mass (0.359, P = 0.025) and negatively with hepatic insulin clearance (r = −0.390, P = 0.008). Also, MCP correlated positively with LFC (r = 0.387, P = 0.014) and negatively with hepatic insulin clearance (r = −0.327, P = 0.028) both.

Six months after bariatric operation, 31 (76%) of 46 patients reported increased habitual physical activity level. Increase of self-reported physical activity was inferred for those patients whose change in total physical activity index was larger than zero. Only six patients did not play any sports after surgery, and more patients reported to engage in strength training, water sports, cycling, and Nordic walking postoperatively than preoperatively (Fig. 2B). Walking was the most frequently reported sports mode both before and after the surgery. Sport index (P = 0.0096) and total physical activity index (P = 0.0168) increased, surgical method had no effect on physical activity outcome (data not shown). On average, patients reported to play sports 1 to 2 h·wk−1 before surgery and increased sports to 2 to 3 h·wk−1 postoperatively. No significant differences were found in the degree of work related physical activity, neither between study groups nor between baseline and postsurgery values. Furthermore, postoperative leisure time related physical activity level excluding sport did not increase and self-reported leisure time (P ≤ 0.001), sport (P = 0.002), and total physical activity (P = 0.001) indices were still lower in patients compared to healthy participants.

Interestingly, only patients who reported increase in total physical activity index postoperatively had increase in the rate of insulin-stimulated skeletal muscle glucose uptake thus higher absolute rate 6 months after bariatric surgery (P = 0.018) (also in Fig. 3B). This finding was confirmed using hierarchical linear mixed modeling in which postoperative self-reported total physical activity index had an effect explaining improvement in the rate of insulin-stimulated glucose uptake in skeletal muscle (P = 0.036). However, the rate of whole-body glucose uptake increased similarly in postoperationally active and nonactive patients.

Postoperative self-reported total physical activity correlated positively with hepatic insulin clearance (r = 0.345, P = 0.02) and showed tendency to correlate negatively with LFC (r = −0.286, P = 0.076). Furthermore, change in total physical activity index correlated with the loss of abdominal visceral fat mass postoperatively (−0.349 P = 0.029) (Fig. 3C). Loss of abdominal visceral fat mass also tended to be higher in patients who reported increased total physical activity index postoperatively compared to patients whose index remained the same (−2.04 [1.35] kg vs 1.26 [0.89] kg; P = 0.078). Self-reported total physical activity index also correlated negatively with levels of proinflammatory cytokines TNFα (−0.318, P = 0.031), IL6 (−0.353, P = 0.023) and MCP (−0.300, P = 0.043) after bariatric surgery (Fig. 4). Finally, self-reported physical activity index showed no association to body weight loss nor decrease in whole-body adiposity or loss of abdominal subcutaneous fat mass postoperatively.

Correlations between total physical activity index and serum proinflammatory cytokines TNF α, MCP and IL6 prebariatric and postbariatric surgery.
Anthropometric and metabolic characteristics of the study participants.
Levels of serum proinflammatory cytokines.


In the present study, preoperative and postoperative physical activity level was investigated using a validated self-report questionnaire, and insulin sensitivity as well as body composition using noninvasive imaging methods in bariatric surgery patients. We found that postoperative self-reported physical activity was associated with the improvement of skeletal muscle insulin sensitivity as quadriceps muscle glucose uptake under insulin stimulation increased only in those patients who reported increase in their physical activity level 6 months after bariatric surgery operation. Self-reported physical activity was also associated with lower LFC postoperatively and change in physical activity with the loss of visceral fat mass. Our data suggest that physical activity may facilitate the amelioration of peripheral insulin resistance after surgery and that bariatric surgery alone might not increase skeletal muscle insulin sensitivity.

In our data, using hyperinsulinemic euglycemic clamp method, a moderate increase in whole-body insulin sensitivity was seen in all patients 6 months after the bariatric surgery, and this increase was probably related to surgery-induced caloric restriction and weight loss. However, the increase in insulin-stimulated skeletal muscle glucose uptake reflecting improvement in muscle insulin sensitivity happened only in patients who reported increased physical activity postoperatively. In the current study, the rate of insulin-stimulated glucose usage was quantified using PET with [18]F-FDG radiotracer which is highly sensitive noninvasive molecular imaging method.

Our data are consistent with previous studies reporting increased insulin action in the skeletal muscle tissue after bariatric surgery (8,9,32–34). An exercise intervention study by Coen et al. (11) found that 120 min of moderate intensity exercise per week for 6 months after bariatric surgery improved not only whole-body insulin sensitivity, but also muscle mitochondrial oxidative capacity only in exercising and not in sedentary patients although both groups experienced mitochondrial remodeling (10). Our data support the results of these studies, as increase in skeletal muscle insulin sensitivity was seen only in patients who reported increased habitual physical activity after bariatric surgery.

In our data set, self-reported physical activity level showed no association to body weight loss or decrease in percentage of whole body fat after bariatric surgery which is in line with several previous results (11,12,35). Furthermore, we did not find any connection between self-reported physical activity level and the loss of abdominal subcutaneous fat mass. In a previous study, Woodlief et al. (36) reported greater loss of abdominal subcutaneous fat mass after high volume (286 ± 40 min·wk−1) structured exercise program after Roux-en-Y gastric bypass operation. However, in our data set, increase in self-reported physical activity was associated with the loss of visceral fat mass, fat depot linked to cardiovascular risk factors, insulin resistance, and low-grade systemic inflammation. Thus, physical exercise could potentially affect visceral obesity and the distribution of body fat after bariatric surgery as speculated previously (16). In our data set, self-reported postoperative physical activity also showed a tendency to correlate with lower LFC, suggesting that physical activity has effect decreasing ectopic fat accumulation as reported previously in normal weight males (37). In addition, self-reported postoperative physical activity associated inversely with serum levels of inflammatory markers TNF α, MCP and IL6. Regular exercise has been reported to decrease resting levels of TNF α, IL6, and to suppress TNF α sustained, stress related, IKK/NF-κB–mediated signaling pathway causing insulin resistance in skeletal muscle tissue and accumulation of LFC (38).

Diabetes relapses have been reported to happen in every third patient in five year’s time after the initial T2DM remission (39), and in half of the patients after 12 yr (4). One could speculate that physically active lifestyle could possibly help in preventing the weight regain and delay the recurrence of T2DM in the long run by maintaining and enhancing insulin sensitivity. Our data suggest that postoperative improvement in the peripheral insulin sensitivity is due to voluntary physical activity modifications in daily living – not only surgically induced caloric restriction.

There are some considerations to our study design. First, study participants were given no advice on physical activity and therefore all changes were voluntary. However, due to local surgical guidelines and patient selection criteria, participants were recruited among patients motivated to lose weight and to modify lifestyle, thus most sedentary persons were excluded. Also, insulin-dependent T2DM patients were excluded from the study; therefore, our results might not apply to the most severe cases of insulin resistance in morbid obesity. We also did not assess intra muscular fat content, lipid storage associated with mitochondrial dysfunction and muscle tissue insulin resistance. As we did not find differences between Roux-en-Y and gastric sleeve operations in the outcome measures of the present study, the results are pooled. Postsurgery measurements were performed 6 months after surgery, and it is possible that insulin sensitivity data may be confounded by dynamic phase of weight loss at that time point. We controlled the weight of the patients also after 1 yr of the surgery, and the median weight loss between 6 months and 1 yr was 2.8 kg. Hence, the major weight loss occurred during the first 6 months after surgery and slowed greatly thereafter. Finally, physical activity questionnaire was used to estimate physical activity level instead of objective measurement of energy expenditure or guided exercise training intervention. Questionnaires are practical and low cost method to assess changes in physical activity, but their sensitivity, validity and reliability could be limited (40). Furthermore, bariatric surgery patients have been shown to over-report their activities (41). Baecke questionnaire, however, is widely used in epidemiological studies, and has been validated in population with obesity (21). Although the gold standard for evaluation of physical activity in bariatric surgery patients is still lacking, it has been shown that self-reported changes in physical activity measured by Baecke questionnaire are predictive of postoperative weight loss after bariatric surgery (42,43). However, it is possible that the results of the present study may have been affected by the within variability of the questionnaire. For instance, all changes in total physical activity index greater than zero were inferred as increase in physical activity. Also, increase in sports index may have been affected by leisure time physical activity which has been shown to contribute to weight loss and body composition after bariatric surgery (14). Further research with objectively measured physical activity and supervised exercise interventions are needed to study the role of exercise training among bariatric surgery patients.

To conclude, increase in self-reported habitual physical activity is associated with the improvement of skeletal muscle insulin sensitivity and the distribution of body fat after bariatric surgery. Recommendations of habitual physical activity and physical exercise training should be included in the postoperational treatment of bariatric surgery patients to help the patients to maximize and in the future to maintain the surgery-induced metabolic health benefits.

This study has been financially supported by University of Turku, Åbo Akademi, Turku University Hospital, Academy of Finland, Sigrid Juselius Foundation, Diabetes Research Foundation, Finnish Diabetes Association, Finnish Foundation of Cardiovascular Research (TL) and has received competitive funding of the Pirkanmaa Hospital District (for TL project X51001).

The authors wish to thank the personnel of the Turku PET Centre for their assistance during the study. This study was conducted within the Finnish Centre of Excellence in Cardiovascular and Metabolic Diseases supported by the Academy of Finland, University of Turku, Turku University Hospital and Åbo Akademi University.

The authors declare no conflict of interest. The results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The authors have nothing to disclose. The results of the present study do not constitute an endorsement by the American College of Sports Medicine.

A. M. S. analyzed and interpreted the data and wrote the article. J. C. H., A. K., M. S., T. P., V. S., H. I., A. M., T. L., M. H. and P. S. acquired and analyzed data and edited the article. E. L. did the statistical work. P. N. designed and supervised clinical trials NCT00793143 and NCT01373892, interpreted the data, and edited the manuscript. P. N. is the guarantor of this work and, as such, has full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors had access to the study data and have reviewed and approved the final article.


1. Sjöström L, Narbro K, Sjöström C, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. N Engl J Med. 2007;357(8):741–52.
2. Schauer PR, Burguera B, Ikramuddin S, et al. Effect of laparoscopic roux-en Y gastric bypass on type 2 diabetes mellitus. Ann Surg. 2003;238(4):467–84.
3. Buchwald H, Estok R, Fahrbach K, et al. Weight and type 2 diabetes after bariatric surgery: systematic review and meta-analysis. Am J Med. 2009;122(3):248–56.e5.
4. Adams TD, Davidson LE, Litwin SE, et al. Weight and metabolic outcomes 12 years after gastric bypass. N Engl J Med. 2017;377(12):1143–55.
5. Immonen H, Hannukainen JC, Iozzo P, et al. Effect of bariatric surgery on liver glucose metabolism in morbidly obese diabetic and non-diabetic patients. J Hepatol. 2014;60(2):377–83.
6. Mäkinen J, Hannukainen JC, Karmi A, et al. Obesity-associated intestinal insulin resistance is ameliorated after bariatric surgery. Diabetologia. 2015;58(5):1055–62.
7. Dadson P, Landini L, Helmiö M, et al. Effect of bariatric surgery on adipose tissue glucose metabolism in different depots in patients with or without type 2 diabetes. Diabetes Care. 2016;39(2):292–9.
8. Friedman JE, Dohm GL, Leggett-Frazier N, et al. Restoration of insulin responsiveness in skeletal muscle of morbidly obese patients after weight loss. Effect on muscle glucose transport and glucose transporter GLUT4. J Clin Invest. 1992;89(2):701–5.
9. Guesbeck NR, Hickey MS, MacDonald KG, et al. Substrate utilization during exercise in formerly morbidly obese women. J Appl Physiol (1985). 2001;90(3):1007–12.
10. Coen PM, Menshikova EV, Distefano G, et al. Exercise and weight loss improve muscle mitochondrial respiration, lipid partitioning, and insulin sensitivity after gastric bypass surgery. Diabetes. 2015;64(11):3737–50.
11. Coen PM, Tanner CJ, Helbling NL, et al. Clinical trial demonstrates exercise following bariatric surgery improves insulin sensitivity. J Clin Invest. 2015;125(1):248–57.
12. Shah M, Snell PG, Rao S, et al. High-volume exercise program in obese bariatric surgery patients: a randomized, controlled trial. Obesity (Silver Spring). 2011;19(9):1826–34.
13. Thivel D, Brakonieki K, Duche P, Béatrice M, Yves B, Laferrère B. Surgical weight loss: impact on energy expenditure. Obes Surg. 2013;23(2):255–66.
14. Carnero EA, Dubis GS, Hames KC, et al. Randomized trial reveals that physical activity and energy expenditure are associated with weight and body composition after RYGB. Obesity. 2017;25(7):1206–16.
15. Herring LY, Stevinson C, Carter P, 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(6):909–16.
16. Coen PM, Goodpaster BH. A role for exercise after bariatric surgery? Diabetes Obes Metab. 2016;18(1):16–23.
17. Helmiö M, Victorzon M, Ovaska J, et al. SLEEVEPASS: a randomized prospective multicenter study comparing laparoscopic sleeve gastrectomy and gastric bypass in the treatment of morbid obesity: preliminary results. Surg Endosc. 2012;26(9):2521–6.
18. American Diabetes Association. 2. Classification and diagnosis of diabetes. Diabetes Care. 2015;38(l Suppl):S8–16.
19. Courcoulas AP, Christian N, Belle S, et al. Weight change and health outcomes at three years after bariatric surgery among patients with severe obesity. JAMA. 2013;310(22):2416–25.
20. Baecke JA, Burema J, Frijters JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36(5):936–42.
21. Tehard B, Saris WH, Astrup A, et al. Comparison of two physical activity questionnaires in obese subjects: the NUGENOB study. Med Sci Sports Exerc. 2005;37(9):1535–41.
22. DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237(3):E214–23.
23. Nuutila P, Koivisto VA, Knuuti J, et al. Glucose-free fatty acid cycle operates in human heart and skeletal muscle in vivo. J Clin Invest. 1992;89(6):1767–74.
24. Hamacher K, Coenen HH, Stöcklin G. Efficient stereospecific synthesis of no-carrier-added 2-[18F]-fluoro-2-deoxy-d-glucose using aminopolyether supported nucleophilic substitution. J Nucl Med. 1986;27(2):235–8.
25. Patlak CS, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab. 1985;5(4):584–90.
26. Borra RJ, Salo S, Dean K, et al. Nonalcoholic fatty liver disease: rapid evaluation of liver fat content with in-phase and out-of-phase MR imaging. Radiology. 2009;250(1):130–6.
27. Savastano S, Belfiore A, Di Somma C, et al. Validity of bioelectrical impedance analysis to estimate body composition changes after bariatric surgery in premenopausal morbidly women. Obes Surg. 2010;20(3):332–9.
28. Widen EM, Strain G, King WC, et al. Validity of bioelectrical impedance analysis for measuring changes in body water and percent fat after bariatric surgery. Obes Surg. 2014;24(6):847–54.
29. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.
30. Van Cauter E, Mestrez F, Sturis J, Polonsky KS. Estimation of insulin secretion rates from C-peptide levels: comparison of individual and standard kinetic parameters for C-peptide clearance. Diabetes. 1992;41(3):368–77.
31. Mari A, Schmitz O, Gastaldelli A, Oestergaard T, Nyholm B, Ferrannini E. Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects. Am J Physiol Endocrinol Metab. 2002;283(6):E1159–66.
32. Pender C, Goldfine ID, Tanner CJ, et al. Muscle insulin receptor concentrations in obese patients post bariatric surgery: relationship to hyperinsulinemia. Int J Obes Relat Metab Disord. 2004;28(3):363–9.
33. Park J-J, Berggren JR, Hulver MW, Houmard JA, Hoffman EP. GRB14, GPD1, and GDF8 as potential network collaborators in weight loss-induced improvements in insulin action in human skeletal muscle. Physiol Genomics. 2006;27(2):114–21.
34. Bikman BT, Zheng D, Pories WJ, et al. Mechanism for improved insulin sensitivity after gastric bypass surgery. J Clin Endocrinol Metab. 2008;93(12):4656–63.
35. Metcalf B, Rabkin RA, Rabkin JM, Metcalf LJ, Lehman-Becker LB. Weight loss composition: the effects of exercise following obesity surgery as measured by bioelectrical impedance analysis. Obes Surg. 2005;15(2):183–6.
36. Woodlief TL, Carnero EA, Standley RA, et al. Dose response of exercise training following roux-en-Y gastric bypass surgery: a randomized trial. Obesity. 2015;23(12):2454–61.
37. Hannukainen JC, Borra R, Linderborg K, et al. Liver and pancreatic fat content and metabolism in healthy monozygotic twins with discordant physical activity. J Hepatol. 2011;54(3):545–52.
38. Golbidi S, Laher I. Exercise induced adipokine changes and the metabolic syndrome. J Diabetes Res. 2014;2014:726861.
39. Arterburn DE, Bogart A, Sherwood NE, et al. A multisite study of long-term remission and relapse of type 2 diabetes mellitus following gastric bypass. Obes Surg. 2013;23(1):93–102.
40. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37(3):197–206.
41. Bond DS, Jakicic JM, Unick JL, et al. Pre- to postoperative physical activity changes in bariatric surgery patients: self report vs. objective measures. Obesity (Silver Spring). 2010;18(12):2395–7.
42. Ledoux S, Sami O, Breuil MC, et al. Relevance of self-reported behavioral changes before bariatric surgery to predict success after surgery. Obes Surg. 2017;27(6):1453–9.
43. Colles SL, Dixon JB, O’Brien PE. Hunger control and regular physical activity facilitate weight loss after laparoscopic adjustable gastric banding. Obes Surg. 2008;18(7):833–40.


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