Next Article in Journal / Special Issue
Generalized Approach to Translating Exercise Tests and Prescribing Exercise
Previous Article in Journal
Comparison of Mandibular Arch Expansion by the Schwartz Appliance Using Two Activation Protocols: A Preliminary Retrospective Clinical Study
Previous Article in Special Issue
Differences in Balance Ability and Motor Control between Dancers and Non-Dancers with Varying Foot Positions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of a Supervised Nordic Walking Program on Obese Adults with and without Type 2 Diabetes: The C.U.R.I.A.Mo. Centre Experience

1
Healthy Lifestyle Institute, C.U.R.I.A.Mo (Centro Universitario Ricerca Interdipartimentale Attività Motoria), University of Perugia, Via G. Bambagioni, 19 06126 Perugia, Italy
2
Department of Medicine and Aging Sciences, ‘G. d’Annunzio’ University of Chieti-Pescara, 66100 Chieti Scalo, Italy
3
Department of Medicine, Sport and Exercise Medicine Division, University of Padova, Via Giustiniani 2, 35128 Padova, Italy
4
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
*
Author to whom correspondence should be addressed.
These authors equally contributed to this manuscript.
These authors equally contributed to this manuscript.
J. Funct. Morphol. Kinesiol. 2020, 5(3), 62; https://doi.org/10.3390/jfmk5030062
Submission received: 28 May 2020 / Revised: 31 July 2020 / Accepted: 6 August 2020 / Published: 7 August 2020
(This article belongs to the Special Issue Exercise Evaluation and Prescription)

Abstract

:
Exercise is a convenient non-medical intervention, commonly recommended in metabolic syndrome and type 2 diabetes (DM2) managements. Aerobic exercise and aerobic circuit training have been shown to be able to reduce the risk of developing DM2-related complications. Growing literature proves the usefulness of Nordic walking as exercise therapy in different disease populations, therefore it has a conceivable use in DM2 management. Aims of this study were to analyze and report the effects of two different supervised exercises (gym-based exercise and Nordic walking) on anthropometric profile, blood pressure values, blood chemistry and fitness variables in obese individuals with and without DM2. In this study, 108 obese adults (aged 45–65 years), with or without DM2, were recruited and allocated into one of four subgroups: (1) Gym-based exercise program (n = 49) or (2) Nordic walking program (n = 37) for obese adults; (3) Gym-based exercise program (n = 10) or (4) Nordic walking program (n = 12) for obese adults with DM2. In all exercise subgroups, statistically significant improvements in body weight, body mass index, fat mass index, muscular flexibility and maximal oxygen uptake (VO2 max) were observed. Moreover, a higher percentage of adherence to the gym-based program compared to Nordic walking was recorded. Our findings showed that, notwithstanding the lower adherence, a supervised Nordic walk is effective as a conventional gym-based program to improve body weight control, body composition parameters, muscular flexibility and VO2 max levels in obese adults with and without type 2 diabetes.

1. Introduction

Physical inactivity is one of the most common risk factors that increase the risk of developing relevant non-communicable diseases (e.g., type 2 diabetes, DM2) and their related risk of mortality [1]. In 2019, the International Diabetes Federation (IDF) estimated that approximately 463 million people have diabetes (type 1 and 2, diagnosed and undiagnosed) worldwide [2]. To counteract and contain this phenomenon, worldwide actions aimed to promote specific health prevention interventions. These interventions aim to reduce cardiometabolic risk factors, combining a balanced diet with an adequate level of weekly physical activity (PA), and drugs consumption where necessary.
Exercise is an effective non-medical intervention for the management of metabolic syndrome and DM2 [3,4]. In fact, aerobic exercise is the most studied type of exercise and most prescribed in people with common non-communicable chronic diseases, and it has shown to elicit beneficial effects in metabolic, Hb1Ac, body weight and insulin resistance control, also improving fat distribution and microcirculatory function [5,6], with a major effect achieved when combined with resistance training [7,8]. Moreover, aerobic exercise is able to lower the risk of DM2-related complications, such as diabetic nephropathy, retinopathy and neuropathy [9].
Walking is one of the most common physical activities, rarely associated with physical injuries due to its executive characteristics [10]. It can be performed in different environments with no need for particular equipment, overcoming some common barriers such as lack of time, low fitness level, and shortage of money. Walking is able to increase insulin sensitivity and reduces many cardiovascular risk factors, such as hypertension, dyslipidemia and fat mass accumulation [11,12,13].
Therefore, studying the effects of a particular type of walking practice, such as Nordic walking (NW), could be useful and could help to set an exercise prescription for NW practitioners. NW is an easy-to-learn activity that can be practiced anywhere and only requires the practitioner to be equipped with specific poles. NW involves upper and lower limbs simultaneously, with an increase of approximately 23% in energy expenditure compared to common walking activity [14,15], potentially ensuring major positive physiological effects linked with the prolonged and contemporaneous use of big muscle masses. Several studies showed the beneficial effects of NW in different disease populations [15,16,17,18,19], but only a few studies have investigated the cardiometabolic effects of NW in individuals with obesity and DM2 [20,21,22,23]. So, the aims of our study were to analyze and report the cardiometabolic effects following a multidisciplinary intervention performed at the Centro Universitario Ricerca Interdipartimentale Attività Motoria (C.U.R.I.A.Mo.) center, which included two different forms of supervised exercise programs (NW outdoor and exercise indoor) for individuals with obesity and DM2. The cardiometabolic effects of NW activity were compared with those aroused from a conventional exercise-based intervention performed indoor (gym-based exercise, GYM), which combined aerobic and resistance exercises.

2. Materials and Methods

2.1. Participants

From 2010 to 2014, a total sample of 108 obese adults (73 women and 35 men) with and without DM2 (mean age of 56.44 ± 5.94 years) were recruited at the C.U.R.I.A.Mo. center to follow an intensive and multidisciplinary intervention protocol (Figure 1), comprising Nordic walking (NW) and a gym-based exercise program (GYM).
Inclusion criteria were: age between 45 and 65 years and a body mass index (BMI) ≥ 30 kg/m2. The exclusion criteria were: presence of musculoskeletal disorders or other clinical conditions that could seriously reduce life expectancy or their ability to participate in the study. Women were 45–65 years old (mean age = 56.37), but no data about menopause were collected, and the statistical analyses conducted, revealed no age effects on the considered variables both at T0 and T1.
In accordance with the subjects’ clinical conditions, which were evaluated during the first medical examination (obese individuals with or without DM2), and the different forms of exercise programs proposed (NW or GYM), participants were allocated into 1 of the 4 subgroups:
  • Gym-based exercise program for obese individuals (OB-GYM; n = 49);
  • NW program for obese individuals (OB-NW; n = 37);
  • Gym-based exercise program for obese individuals with DM2 (DM2-GYM; n = 10);
  • NW program for obese individuals with DM2 (DM2-NW; n = 12).
The baseline characteristics of participants are shown in Table 1.

2.2. Study Design

The C.U.R.I.A.Mo. clinical model, previously described by De Feo [24], provides the participation of master-trained specialists, who work following a multidisciplinary method. The C.U.R.I.A.Mo. project has been registered in the Australian New Zealand Clinical Trials Registry (a Primary Registry in the WHO registry network), with the number: ACTRN12611000255987.
All the participants gave their written informed consent to participate in the study, and prior to starting any kind of assessments, were asked to fill out a questionnaire regarding the possible presence of musculoskeletal disorders, which could influence our choice when assigning the subjects to either the GYM or NW program. Using a quasi-experimental study design, individuals were assessed before (T0) and at the end of each exercise intervention (T1).

2.3. The C.U.R.I.A.Mo. Clinical Model

All the participants have been assessed through the C.U.R.I.A.Mo. evaluation model composed by four clinical steps.
  • A medical examination was managed by the endocrinologist to exclude the presence of clinical conditions that could contraindicate the exercise interventions. During the visit, the C.U.R.I.A.Mo. clinical model was explained to participants, and the blood tests were prescribed according to national standards of care [25].
  • A psychological interview to increase the subjects’ lifestyle change and to assess their psychological status.
  • A nutritional evaluation to assess the nutritional habits of the participants in order to increase their awareness of a balanced daily diet based on the Mediterranean dietary principles. The C.U.R.I.A.Mo. model provides two individual counseling sessions (before and after the interventions). Nutritional counseling aims to reduce saturated and trans-unsaturated fatty acids to under 10% of the total daily energy, promoting the consumption of fish, vegetables, legumes, fruit and whole grain cereals, to reduce calorie intake. Participants were also invited to attend educational classes focused on healthy diets and good physical activity habits.
  • A complete medical examination was performed by a physician focused on assessing the individual aerobic capacity and muscle strength, and to exclude any potential contraindications to exercise. These outcomes were also used to increase the participants’ awareness of their individual physical status.

2.4. Exercise Interventions

The two forms of supervised exercise programs (NW and GYM) were planned in accordance with the main international guidelines on exercise prescriptions (American College of Sport Medicine, ACSM) and other previous studies [7,26,27,28]. Both indoor (GYM) and outdoor (NW) programs were supervised by a specialist sports science graduate. Blood pressure and blood glucose values were recorded at the beginning and at the end of each training session. All the participants were constantly monitored through a heart rate (HR) monitor to ensure that the training program was performed according to the target intensity suggested by ACSM [26]. Furthermore, adherence to each exercise program was recorded and calculated. Specific reports about the two interventions are presented in Table 2.

2.4.1. Nordic Walking Program

The Nordic walking program was performed on a 750 m-long circular path that was located in the natural park area of the Bambagioni Sporting Centre at the University of Perugia. Exercise sessions were performed 2 times per week and lasted 90 min (10 min of warm up, 60–65 min of NW, and 15 min of cool down). The training intensity was gradually increased, starting from 40% up to 60% of the HR reserve (calculated using the Karvonen formula [29]), through gradual steps of increment. Before the training program, 2 weeks were dedicated to a familiarization with the NW technique.

2.4.2. GYM Program

The gym-based exercise program was planned as a combined circuit training protocol, performed 2 times per week, and lasted 90 min. Before and after the circuit training protocol, 10 min of warm up and 15 min of cool down aerobic exercise (walking, or treadmill, or cycling) were performed. The main part of the sessions consisted of a set of exercises involving the large muscle groups of the lower and upper limbs; the circuit training mixed aerobic and strength exercise, alternating six aerobic exercises (e.g., cycling and walking) and five strength exercise stations (e.g., leg press, abdominal exercises, pectoral exercises performed with isotonic machines and free weights). Aerobic exercise intensity was monitored and gradually increased, as in the NW protocol. In addition, strength training intensity increased gradually, starting from 55% of one repetition maximum (1-RM) and, in time, up to 70%. Brzycki equation was used to predict the 1-RM estimated value (1-RM = 100 × (load repetition, or workload value of repetition performance, expressed in kg)/(102.78 − 2.78 * number of repetitions performed)) [30].

2.5. Specific Functional and Clinical Assessments

Before starting and at the end of the two exercise interventions all participants underwent a clinical and functional assessment. Anthropometric parameters included waist circumference (WC), height, body weight (BW), body mass index (BMI), and waist–height ratio (WHR) evaluated using standard techniques [31,32,33]. Body composition (fat mass and fat-free mass indexes) was also evaluated through the use of the Tanita body composition analyzer BC-420MA (Tokyo, Japan) [34]. Systolic and diastolic blood pressure (BP) values were measured through a UM-101 mercury-free sphygmomanometer (A&D Medical, Tokyo, Japan) during the first ambulatory visit. Blood chemistry variables, such as fasting blood glucose, glycated hemoglobin (HbA1c), total cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides were collected in the laboratory analyses report. Fitness variables, such as aerobic fitness (maximal oxygen uptake, VO2 max) and muscular flexibility were evaluated using the Rockport fitness walking test [35] and the Bending test (executed from vertical and horizontal position) [36], respectively.

2.6. Statistical Analysis

An analysis of variance was performed to check any differences in baseline values (T0) among the 4 subgroups. Table 1 presented the mean values for the entire sample and for each group of exercise.
To evaluate the effects of the two forms of exercise programs, parameters at baseline and after three months of the exercise interventions were compared for each group through t-test for paired samples. Delta (Δ) changes (T1-T0) are presented as means and standard deviations (SDs).
Finally, to compare the NW and GYM exercise program effects, an analysis of variance of Δ changes (T1-T0) was performed. p values ≤ 0.05 were set as statistically significant. All the data have been digitally archived and the analyses were performed using SPSS® Software, version 22.0 (IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp).

3. Results

One hundred and eight obese subjects were involved. All of them completed the entire exercise program and no side effects or injury were recorded. The rate of participation to the training sessions was 19.90 ± 4.28 out of 24 total sessions. The general percentage of adherence to both the exercise programs was 80.68 ± 14.47. Moreover, higher percentage of adherence to the GYM (OB-GYM = 87.22 ± 9.45; DM2-GYM = 87.30 ± 10.35) compared to the NW program (OB-NW = 71.86 ± 14.82; DM2-NW = 75.58 ± 17.90) was observed.
In all of the four groups, a statistically significant reduction in BW, BMI, fat mass index, muscular flexibility in vertical position (vertical bending) and VO2 max were observed. For more information, please see: Figure 2a,b and Supplementary Material (attached file: “Table S1. Post-intervention assessments”).
In individuals with obesity only, significant improvements in BW, BMI, fat mass index, WC, WHR, vertical bending values, VO2 max (all, p < 0.01) and systolic BP levels (p = 0.01) were found at the end of both exercise programs. Notably, only the OB-NW group showed significant improvements in HbA1c values (p < 0.01), total and HDL cholesterol levels (p = 0.01).
In obese individuals with DM2, significant improvements in BW, BMI, fat mass index, vertical bending results and VO2 max levels were observed after both exercise programs. In addition, the DM2-GYM group showed significant improvements also in diastolic BP values (p = 0.01) and in the horizontal bending results (p = 0.04). In obese and diabetic individuals, the NW program allowed us to reach significant improvements also in WC and WHR (p ≤ 0.01) measurements. In the DM2-GYM group, we observed an important improvement in fasting blood glucose (−28.80 mg/dL) and triglycerides (−60.50 mg/dL). However, probably due to the small size of the sample, a significant statistic was not achieved. Overall, we found a significant relationship between proportional changes in plasma triglycerides and glucose metabolism after the program. In fact, proportional changes in plasma triglycerides explained 30% and 78% of the changes in plasma glucose and HbA1c, respectively. For more information please see Supplementary Materials (Table S2a and S2b).

4. Discussion

The aim of the study was to compare the cardiometabolic effects of two different supervised exercise programs (NW vs. GYM), following a multidisciplinary intervention performed at the C.U.R.I.A.Mo. center. Both exercise programs were developed in accordance with the ACSM guidelines for exercise testing and prescription in people with DM2 [28]. All participants completed the program and no side effects were recorded; this result suggested that, if the training program is developed following the guidelines, NW and GYM are two safe training modalities for obese patients with or without DM2 [37,38].
The promotion of general physical activity for health purposes, in the context of multidisciplinary lifestyle interventions, is essential to contrast sedentary lifestyle, which in turn contributes to an increase in the incidence of obesity and many other kinds of non-communicable chronic diseases [39]. Moreover, it was well-established that different forms of exercise-based interventions are strongly recommended in DM2 management [40]. In fact, the American Diabetes Association and the European Association for the Study of Diabetes stated that aerobic exercise, and the combination of aerobic exercise plus resistance training may be more effective than resistance training alone [41]. Structured and supervised exercise programs involving individuals with DM2 have been shown to be effective in antiatherogenic positive changes and in improving cardiometabolic parameters [5,42]. The C.U.R.I.A.Mo. multidisciplinary intervention already demonstrated encouraging results in obese subjects for some metabolic parameters [43], and in the glycemic control of those individuals with DM2 [44]. However, our findings reinforced the key role played by structured and supervised forms of exercise in DM2 management, underlining the therapeutic usefulness of non-conventional approaches, as is the case of NW training. Furthermore, our study compared two different forms of supervised exercise programs, providing an innovative message: in addition to the best-known conventional exercise-based therapies, special populations can choose among different types of validated approaches to exercise, according to their attitudes, motivations and interests.
As demonstrated by the findings of the UK Prospective Diabetes Study (UKPDS) [45], the positive changes in some cardiovascular risk factors and metabolic parameters resulted in a significant modification of the general cardiovascular risk score, crucial for increasing long-term cardiovascular protection. In obese and DM2 exercise groups, this study demonstrated the efficacy of both gym-based and NW exercise to improve BW, WC, BMI and fat mass index parameters. In this line, our findings show that in obese adults, a reduction in WHR measures was detected. Such element is closely connected with the decrease in general cardiovascular risk profile. Furthermore, the improvement in cardiorespiratory fitness (VO2 max values) has been shown to be associated with a reduced total and cardiovascular mortality [46], both in the general and in the DM2 population [47]. Indeed, some of the previous studies [48,49] reported that increases of approximately 3.5 mL/min/kg in VO2 max values are associated with a reduction in all-cause mortality superior to 10%. In our study, increments of VO2 max have shown to reach values superior to these data [48,49] (GYM groups: 8.38 and 9.06; NW groups: 3.83 and 7.9), supporting the strong need to comprise the therapeutic exercise within the multidisciplinary care of populations with metabolic diseases.
Although many studies showed that the exercise performed in a natural environment determines greater adherence [50,51,52,53], our findings registered an opposite result. According to other authors [54,55,56], it is possible that individuals, who participated at the NW program, being mainly women, meet multiple barriers to assure a continuative exercise participation, such as lack of time (e.g., due to household tasks) and feelings of guilt. Despite the lower adherence (−14.4%), the NW program determined the same positive responses to GYM in individuals with DM2. Furthermore, in the obese individuals NW determined a greater reduction in metabolic values. This could indicate that NW has a greater cardiometabolic efficacy than the GYM program, likely due to the continuous active use of muscles of trunk, upper and lower limbs.
In their study [57,58], Balducci et al. reported that there is not yet conclusive evidence that positive changes in physical activity levels can be sustained over the long term, however, our study highlighted that supervised exercise programs can support patients’ adherence to exercise-based treatment, recording a general activities participation of 80.7%. According to Italian [25] and ACSM/ADA [26] guidelines, our results support the recommendation for qualified exercise-trainer supervision (graduate sports science specialists), both to minimize risk of injuries and overall to achieve tailored health aims that are capable of effectively counteracting such kinds of non-communicable diseases from spreading worldwide. Other authors have shown that unsupervised NW trainings seem to not fulfill enough increase in exercise intensity in order to achieve those health advantages specific to individuals with DM2 [59]. From this point of view, for those subjects belonging to special populations who choose to carry out unconventional therapeutic exercise-based activities such as NW, aquatic exercise and other fitness workouts, it is imperative to follow the main guidelines on exercise prescription and be supported by the guidance of exercise science specialists for the entire duration of tailored exercise programs [60,61].

5. Conclusions

Our findings show that a supervised NW program is as effective as a conventional GYM program in improving BW control, body composition, muscular flexibility and VO2 max levels in obese adults with and without DM2; notwithstanding, we recorded a significantly lower adherence to NW than GYM programs. Furthermore, NW is an easy-to-learn activity performable in different environments, rarely associated with physical injuries, more adaptable than GYM with regard to lack of time, low fitness level, and shortage of money, requiring only specific poles. This allows us to state the major efficacy of NW over GYM program, in improving cardiometabolic parameters of both obese people with and without DM2. However, the lack of a normal-weight control group did not permit a deepened knowledge of the effects of NW and GYM programs on cardiometabolic parameters in obese subjects with and without DM2. Ultimately, our study emphasizes the awareness that in addition to the best-known conventional exercise-based therapies, populations with metabolic diseases can opt also to do other forms of validated exercises according to their attitudes, motivations and interests.

Supplementary Materials

The following are available online at https://www.mdpi.com/2411-5142/5/3/62/s1, Table S1: Post-intervention assessments; Table S2a and S2b: Descriptive statistics and Delta changes of plasma triglycerides and glucose metabolism correlations.

Author Contributions

Conceptualization, R.P., C.A. and L.C.; methodology, R.P., C.A. and C.F.; validation, R.P., C.A. and C.F.; formal analysis, C.A., R.P. and A.D.B.; investigation, C.A. and R.P.; resources C.F.; data curation, C.A., R.P. and A.D.B.; writing—original draft preparation, R.P., C.A., A.D.B., V.B., S.G., M.B. and L.C.; writing—review and editing, R.P., C.A., C.F., A.D.B., V.B., S.G., M.B. and L.C.; supervision, C.F. R.P., M.B., and L.C.; project administration, C.F. and R.P.; funding acquisition, C.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The Centro Universitario Ricerca Interdipartimentale Attività Motoria project is supported by a grant from the Department of Health of the Umbria Region (Italy).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Stamatakis, E.; Gale, J.; Bauman, A.; Ekelund, U.; Hamer, M.; Ding, D. Sitting Time, Physical Activity, and Risk of Mortality in Adults. J. Am. Coll. Cardiol. 2019, 73, 2062–2072. [Google Scholar] [CrossRef] [PubMed]
  2. International Diabetes Federation. IDF Diabetes Atlas 2019. Available online: https://www.diabetesatlas.org/upload/resources/2019/IDF_Atlas_9th_Edition_2019.pdf (accessed on 1 March 2019).
  3. De Feo, P.; Di Loreto, C.; Ranchelli, A.; Fatone, C.; Gambelunghe, G.; Lucidi, P.; Santeusanio, F. Exercise and diabetes. Acta Biomed. 2006, 77, 14–17. [Google Scholar] [PubMed]
  4. Horton, E.S. Role and management of exercise in diabetes mellitus. Diabetes Care 1988, 11, 201–211. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Umpierre, D.; Ribeiro, P.A.; Kramer, C.K.; Leitao, C.B.; Zucatti, A.T.; Azevedo, M.J.; Gross, J.L.; Ribeiro, J.P.; Schaan, B.D. Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: A systematic review and meta-analysis. JAMA 2011, 305, 1790–1799. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Marini, E.; Mariani, P.G.; Ministrini, S.; Pippi, R.; Aiello, C.; Reginato, E.; Siepi, D.; Innocente, S.; Lombardini, R.; Paltriccia, R.; et al. Combined aerobic and resistance training improves microcirculation in metabolic syndrome. J. Sports Med. Phys. Fit. 2019, 59, 1571–1576. [Google Scholar] [CrossRef]
  7. Fatone, C.; Guescini, M.; Balducci, S.; Battistoni, S.; Settequattrini, A.; Pippi, R.; Stocchi, L.; Mantuano, M.; Stocchi, V.; De Feo, P. Two weekly sessions of combined aerobic and resistance exercise are sufficient to provide beneficial effects in subjects with Type 2 diabetes mellitus and metabolic syndrome. J. Endocrinol. Investig. 2010, 33, 489–495. [Google Scholar] [CrossRef]
  8. Boule, N.G.; Kenny, G.P.; Haddad, E.; Wells, G.A.; Sigal, R.J. Meta-analysis of the effect of structured exercise training on cardiorespiratory fitness in Type 2 diabetes mellitus. Diabetologia 2003, 46, 1071–1081. [Google Scholar]
  9. Yaribeygi, H.; Butler, A.E.; Sahebkar, A. Aerobic exercise can modulate the underlying mechanisms involved in the development of diabetic complications. J. Cell. Physiol. 2019, 234, 12508–12515. [Google Scholar] [CrossRef]
  10. Rachel, S.; Denise, S. The benefits of regular walking for health, well-being and the environment. C3 Collab. Health. September 2012. Available online: https://www.c3health.org/wp-content/uploads/2017/07/C3-report-on-walking-v-1-20120911.pdf (accessed on 1 May 2019).
  11. Katsanos, C.S. Prescribing aerobic exercise for the regulation of postprandial lipid metabolism: Current research and recommendations. Sports Med. 2006, 36, 547–560. [Google Scholar] [CrossRef]
  12. Slentz, C.A.; Aiken, L.B.; Houmard, J.A.; Bales, C.W.; Johnson, J.L.; Tanner, C.J.; Duscha, B.D.; Kraus, W.E. Inactivity, exercise, and visceral fat. STRRIDE: A randomized, controlled study of exercise intensity and amount. J. Appl. Physiol. 2005, 99, 1613–1618. [Google Scholar] [CrossRef] [Green Version]
  13. De Feo, P. Is high-intensity exercise better than moderate-intensity exercise for weight loss? Nutr. Metab. Cardiovasc. Dis. 2013, 23, 1037–1042. [Google Scholar] [CrossRef] [PubMed]
  14. Schiffer, T.; Knicker, A.; Hoffman, U.; Harwig, B.; Hollmann, W.; Strüder, H.K. Physiological responses to nordic walking, walking and jogging. Eur. J. Appl. Physiol. 2006, 98, 56–61. [Google Scholar] [CrossRef] [PubMed]
  15. Hansen, E.A.; Smith, G. Energy expenditure and comfort during Nordic walking with different pole lengths. J. Strength Cond. Res. 2009, 23, 1187–1194. [Google Scholar] [CrossRef] [Green Version]
  16. Cugusi, L.; Manca, A.; Dragone, D.; Deriu, F.; Solla, P.; Secci, C.; Monticone, M.; Mercuro, G. Nordic Walking for the Management of People With Parkinson Disease: A Systematic Review. PM R 2017, 9, 1157–1166. [Google Scholar] [CrossRef]
  17. Bullo, V.; Gobbo, S.; Vendramin, B.; Duregon, F.; Cugusi, L.; Di Blasio, A.; Bocalini, D.S.; Zaccaria, M.; Bergamin, M.; Ermolao, A. Nordic Walking Can Be Incorporated in the Exercise Prescription to Increase Aerobic Capacity, Strength, and Quality of Life for Elderly: A Systematic Review and Meta-Analysis. Rejuvenation Res. 2018, 21, 141–161. [Google Scholar] [CrossRef] [PubMed]
  18. Cugusi, L.; Manca, A.; Yeo, T.J.; Bassareo, P.P.; Mercuro, G.; Kaski, J.C. Nordic walking for individuals with cardiovascular disease: A systematic review and meta-analysis of randomized controlled trials. Eur. J. Prev. Cardiol. 2017, 24, 1938–1955. [Google Scholar] [CrossRef] [PubMed]
  19. Gobbo, S.; Bullo, V.; Roma, E.; Duregon, F.; Bocalini, D.S.; Rica, R.L.; Di Blasio, A.; Cugusi, L.; Vendramin, B.; Bergamo, M.; et al. Nordic Walking Promoted Weight Loss in Overweight and Obese People: A Systematic Review for Future Exercise Prescription. J. Funct. Morphol. Kinesiol. 2019, 4, 36. [Google Scholar] [CrossRef] [Green Version]
  20. Vilchez Barrera, M.; Calvo-Arencibia, A. Scientific evidence of nordic walking in Physioterapy: Bibliographic review. Fisioterapia 2016, 38, 251–264. [Google Scholar]
  21. Sentinelli, F.; La Cava, V.; Serpe, R.O.B.E.R.T.O.; Boi, A.; Incani, M.I.C.H.E.L.A.; Manconi, E.T.T.O.R.E.; Solinas, A.L.D.O.; Cossu, E.; Lenzi, A.; Baroni, M.G. Positive effects of Nordic Walking on anthropometric and metabolic variables in women with type 2 diabetes mellitus. Sci. Sports 2015, 30, 25–32. [Google Scholar] [CrossRef]
  22. Fritz, T.; Caidahl, K.; Krook, A.; Lundström, P.; Mashili, F.; Osler, M.; Szekeres, F.L.; Östenson, C.G.; Wändell, P.; Zierath, J.R. Effects of Nordic walking on cardiovascular risk factors in overweight individuals with type 2 diabetes, impaired or normal glucose tolerance. Diabetes Metab. Res. Rev. 2013, 29, 25–32. [Google Scholar] [CrossRef]
  23. Gram, B.; Christensen, R.; Christiansen, C.; Gram, J. Effects of nordic walking and exercise in type 2 diabetes mellitus: A randomized controlled trial. Clin. J. Sport. Med. 2010, 20, 355–361. [Google Scholar] [PubMed]
  24. De Feo, P.; Fatone, C.; Burani, P.; Piana, N.; Pazzagli, C.; Battistini, D.; Capezzali, D.; Pippi, R.; Chipi, B.; Mazzeschi, C. An innovative model for changing the lifestyles of persons with obesity and/or Type 2 diabetes mellitus. J. Endocrinol. Investig. 2011, 34, e349–e354. [Google Scholar] [PubMed]
  25. (AMD) A.M.D.; S.I.d.D. (SID). Standard Italiani Per La Cura Del Diabete Mellito 2018; Available online: http://www.siditalia.it/pdf/Standard%20di%20Cura%20AMD%20-%20SID%202018_protetto2.pdf (accessed on 1 February 2019).
  26. Colberg, S.R.; Sigal, R.J.; Fernhall, B.; Regensteiner, J.G.; Blissmer, B.J.; Rubin, R.R.; Chasan-Taber, L.; Albright, A.L.; Braun, B. Exercise and type 2 diabetes: The American College of Sports Medicine and the American Diabetes Association: Joint position statement. Diabetes Care 2010, 33, e147–e167. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Balducci, S.; Zanuso, S.; Massarini, M.; Corigliano, G.; Nicolucci, A.; Missori, S.; Cavallo, S.; Cardelli, P.; Alessi, E.; Pugliese, G.; et al. The Italian Diabetes and Exercise Study (IDES): Design and methods for a prospective Italian multicentre trial of intensive lifestyle intervention in people with type 2 diabetes and the metabolic syndrome. Nutr. Metab. Cardiovasc. Dis. 2008, 18, 585–595. [Google Scholar] [CrossRef]
  28. American College of Sports, Medicine; Riebe, D.; Ehrman, J.K.; Liguori, G.; Magal, M. ACSM’s Guidelines for Exercise Testing and Prescription; Wolters Kluwer: Philadelphia, PA, USA, 2018. [Google Scholar]
  29. Karvonen, J.; Vuorimaa, T. Heart rate and exercise intensity during sports activities. Practical application. Sports Med. 1988, 5, 303–311. [Google Scholar] [CrossRef]
  30. Brzycki, M. Strength Testing—Predicting a One-Rep Max from Reps-to-Fatigue. J. Phys. Edication Recreat. Danc. 1993, 64, 88–90. [Google Scholar] [CrossRef]
  31. Habicht, J.P. Standardization of quantitative epidemiological methods in the field. Bol. Oficina Sani. Panam. 1974, 76, 375–384. [Google Scholar]
  32. VanItallie, T.B.; Yang, M.U.; Heymsfield, S.B.; Funk, R.C.; Boileau, R.A. Height-normalized indices of the body’s fat-free mass and fat mass: Potentially useful indicators of nutritional status. Am. J. Clin. Nutr. 1990, 52, 953–959. [Google Scholar] [CrossRef] [Green Version]
  33. Ashwell, M.; Gunn, P.; Gibson, S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obes. Rev. 2012, 13, 275–286. [Google Scholar] [CrossRef]
  34. Linares, C.L.; Ciangura, C.; Bouillot, J.L.; Coupaye, M.; Declèves, X.; Poitou, C.; Basdevant, A.; Oppert, J.M. Validity of leg-to-leg bioelectrical impedance analysis to estimate body fat in obesity. Obes. Surg. 2011, 21, 917–923. [Google Scholar] [CrossRef]
  35. Weiglein, L.; Herrick, J.; Kirk, S.; Kirk, E.P. The 1-mile walk test is a valid predictor of VO2max and is a reliable alternative fitness test to the 1.5-mile run in US Air Force males. Mil. Med. 2011, 176, 669–673. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Mayorga-Vega, D.; Merino-Marban, R.; Viciana, J. Criterion-Related Validity of Sit-and-Reach Tests for Estimating Hamstring and Lumbar Extensibility: A Meta-Analysis. J. Sports. Sci. Med. 2014, 13, 1–14. [Google Scholar] [PubMed]
  37. Kucio, C.; Narloch, D.; Kucio, E.; Kurek, J. The application of Nordic walking in the treatment hypertension and obesity. Fam. Med. Prim. Care Rev. 2017, 19, 144–148. [Google Scholar] [CrossRef]
  38. Venojarvi, M.; Wasenius, N.; Manderoos, S.; Heinonen, O.J.; Hernelahti, M.; Lindholm, H.; Surakka, J.; Lindström, J.; Aunola, S.; Atalay, M.; et al. Nordic walking decreased circulating chemerin and leptin concentrations in middle-aged men with impaired glucose regulation. Ann. Med. 2013, 45, 162–170. [Google Scholar] [CrossRef]
  39. Jain, R.; Olejas, S.; Feh, A.R.; Edwards, A.; Abigo, I.; Zietek, W.; Khan, Z.; Ragoonanan, S.; Benoy, N.; Bramble, D. Review the evidence for lifestyle management in the prevention of type 2 diabetes and compare them to pharmacological interventions. EC Diabetes Metab. Res. 2020, 4, 161–166. [Google Scholar] [CrossRef]
  40. Ried-Larsen, M.; MacDonald, C.S.; Johansen, M.Y.; Hansen, K.B.; Christensen, R.; Almdal, T.P.; Pedersen, B.K.; Karstoft, K. Why prescribe exercise as therapy in type 2 diabetes? We have a pill for that! Diabetes Metab. Res. Rev. 2018, 34, e2999. [Google Scholar] [CrossRef]
  41. Davies, M.J.; D’Alessio, D.A.; Fradkin, J.; Kernan, W.N.; Mathieu, C.; Mingrone, G.; Rossing, P.; Tsapas, A.; Wexler, D.J.; Buse, J.B. Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2018, 41, 2669–2701. [Google Scholar] [CrossRef] [Green Version]
  42. Johansen, M.Y.; MacDonald, C.S.; Hansen, K.B.; Karstoft, K.; Christensen, R.; Pedersen, M.; Hansen, L.S.; Zacho, M.; Wedell-Neergaard, A.S.; Nielsen, S.T.; et al. Effect of an Intensive Lifestyle Intervention on Glycemic Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial. JAMA 2017, 318, 637–646. [Google Scholar] [CrossRef]
  43. Russo, A.; Pirisinu, I.; Vacca, C.; Reginato, E.; Tomaro, E.S.; Pippi, R.; Aiello, C.; Talesa, V.N.; De Feo, P.; Romani, R. An intensive lifestyle intervention reduces circulating oxidised low-density lipoprotein and increases human paraoxonase activity in obese subjects. Obes. Res. Clin. Pract. 2018, 12, 108–114. [Google Scholar] [CrossRef]
  44. Tomaro, E.S.; Pippi, R.; Reginato, E.; Aiello, C.; Buratta, L.; Mazzeschi, C.; Perrone, C.; Ranucci, C.; Tirimagni, A.; Russo, A.; et al. Intensive lifestyle intervention is particularly advantageous in poorly controlled type 2 diabetes. Nutr. Metab. Cardiovasc. Dis. 2017, 27, 688–694. [Google Scholar] [CrossRef]
  45. Holman, R.R.; Paul, S.K.; Bethel, M.A.; Matthews, D.R.; Neil, H.A.W. 10-year follow-up of intensive glucose control in type 2 diabetes. N. Engl. J. Med. 2008, 359, 1577–1589. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Blair, S.N.; Kampert, J.B.; Kohl, H.W.; Barlow, C.E.; Macera, C.A.; Paffenbarger, R.S.; Gibbons, L.W. Influences of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women. JAMA 1996, 276, 205–210. [Google Scholar] [CrossRef] [PubMed]
  47. Church, T.S.; Cheng, Y.J.; Earnest, C.P.; Barlow, C.E.; Gibbons, L.W.; Priest, E.L.; Blair, S.N. Exercise capacity and body composition as predictors of mortality among men with diabetes. Diabetes Care 2004, 27, 83–88. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Kokkinos, P.; Myers, J.; Nylen, E.; Panagiotakos, D.B.; Manolis, A.; Pittaras, A.; Blackman, M.R.; Jacob-Issac, R.; Faselis, C.; Abella, J.; et al. Exercise capacity and all-cause mortality in African American and Caucasian men with type 2 diabetes. Diabetes Care 2009, 32, 623–628. [Google Scholar] [CrossRef] [Green Version]
  49. Ross, R.; Blair, S.N.; Arena, R.; Church, T.S.; Després, J.P.; Franklin, B.A.; Haskell, W.L.; Kaminsky, L.A.; Levine, B.D.; Lavie, C.J.; et al. Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association. Circulation 2016, 134, e653–e699. [Google Scholar] [CrossRef]
  50. Lahart, I.; Darcy, P.; Gidlow, C.; Calogiuri, G. The Effects of Green Exercise on Physical and Mental Wellbeing: A Systematic Review. Int. J. Environ. Res. Public Health 2019, 16, 1352. [Google Scholar] [CrossRef] [Green Version]
  51. McArthur, D.; Dumas, A.; Woodend, K.; Beach, S.; Stacey, D. Factors influencing adherence to regular exercise in middle-aged women: A qualitative study to inform clinical practice. BMC Womens Health 2014, 14, 49. [Google Scholar] [CrossRef] [Green Version]
  52. Gladwell, V.F.; Brown, D.K.; Wood, C.; Sandercock, G.R.; Barton, J.L. The great outdoors: How a green exercise environment can benefit all. Extrem. Physiol. Med. 2013, 2, 3. [Google Scholar] [CrossRef] [Green Version]
  53. Fluery-Bahi, G.; Pol, E.; Navarro, O. International Handbooks of Quality-of-life. In Handbook of Environmental Psychology and Quality of Life Research, 1st ed.; Springer International Publishing: Cham, Switzerland, 2017; Volume XIII, p. 574. [Google Scholar]
  54. Hoare, E.; Stavreski, B.; Jennings, G.L.; Kingwell, B.A. Exploring Motivation and Barriers to Physical Activity among Active and Inactive Australian Adults. Sports 2017, 5, 47. [Google Scholar] [CrossRef]
  55. Moreno, J.; Johnson, C. Barriers to physical activity in women. Am. J. Lifestyle Med. 2014, 8, 164–166. [Google Scholar] [CrossRef]
  56. Eyler, A.E.; Wilcox, S.; Matson-Koffman, D.; Evenson, K.R.; Sanderson, B.; Thompson, J.; Wilbur, J.; Rohm-Young, D. Correlates of physical activity among women from diverse racial/ethnic groups. J. Womens Health Gend. Based Med. 2002, 11, 239–253. [Google Scholar] [CrossRef] [PubMed]
  57. Balducci, S.; D’Errico, V.; Haxhi, J.; Sacchetti, M.; Orlando, G.; Cardelli, P.; Vitale, M.; Bollanti, L.; Conti, F.; Zanuso, S.; et al. Effect of a Behavioral Intervention Strategy on Sustained Change in Physical Activity and Sedentary Behavior in Patients With Type 2 Diabetes: The IDES_2 Randomized Clinical Trial. JAMA 2019, 321, 880–890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Balducci, S.; Zanuso, S.; Nicolucci, A.; De Feo, P.; Cavallo, S.; Cardelli, P.; Fallucca, S.; Alessi, E.; Fallucca, F.; Pugliese, G. Effect of an intensive exercise intervention strategy on modifiable cardiovascular risk factors in subjects with type 2 diabetes mellitus: A randomized controlled trial: The Italian Diabetes and Exercise Study (IDES). Arch. Intern. Med. 2010, 170, 1794–1803. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Fritz, T.; Caidahl, K.; Osler, M.; Östenson, C.G.; Zierath, J.R.; Wändell, P. Effects of Nordic walking on health-related quality of life in overweight individuals with type 2 diabetes mellitus, impaired or normal glucose tolerance. Diabet. Med. 2011, 28, 1362–1372. [Google Scholar] [CrossRef] [Green Version]
  60. Cugusi, L.; Manca, A.; Bassareo, P.P.; Crisafulli, A.; Deriu, F.; Mercuro, G. Supervised aquatic-based exercise for men with coronary artery disease: A meta-analysis of randomised controlled trials. Eur. J. Prev. Cardiol. 2019, 1–6. [Google Scholar] [CrossRef] [PubMed]
  61. Cugusi, L.; Cadeddu, C.; Nocco, S.; Orrù, F.; Bandino, S.; Deidda, M.; Caria, A.; Bassareo, P.P.; Piras, A.; Cabras, S.; et al. Effects of an aquatic-based exercise program to improve cardiometabolic profile, quality of life, and physical activity levels in men with type 2 diabetes mellitus. PM R 2015, 7, 141–148. [Google Scholar] [CrossRef]
Figure 1. The “Centro Universitario Ricerca Interdipartimentale Attività Motoria” clinical model (De Feo et al., JEI 2011 [24]).
Figure 1. The “Centro Universitario Ricerca Interdipartimentale Attività Motoria” clinical model (De Feo et al., JEI 2011 [24]).
Jfmk 05 00062 g001
Figure 2. (a) Anthropometric profile, blood pressure levels, blood chemistry and fitness parameters in obese people. Results are presented as Δ (T1-T0) means. (b) Anthropometric profile, blood pressure levels, blood chemistry and fitness parameters in people with type 2 diabetes. Results are presented as Δ (T1-T0) means. Abbreviations: OB-GYM: individuals with obesity participating at gym-based exercise program; OB-NW: individuals with obesity participating at the Nordic walking exercise program; DM2-GYM: obese individuals with DM2 participating at the gym-based exercise program; DM2-NW: obese individuals with DM2 participating at the Nordic walking program.
Figure 2. (a) Anthropometric profile, blood pressure levels, blood chemistry and fitness parameters in obese people. Results are presented as Δ (T1-T0) means. (b) Anthropometric profile, blood pressure levels, blood chemistry and fitness parameters in people with type 2 diabetes. Results are presented as Δ (T1-T0) means. Abbreviations: OB-GYM: individuals with obesity participating at gym-based exercise program; OB-NW: individuals with obesity participating at the Nordic walking exercise program; DM2-GYM: obese individuals with DM2 participating at the gym-based exercise program; DM2-NW: obese individuals with DM2 participating at the Nordic walking program.
Jfmk 05 00062 g002aJfmk 05 00062 g002b
Table 1. Anthropometric, blood pressure, blood chemistry, and fitness parameters at baseline. Baseline values: Mean values of anthropometric, blood pressure and blood chemistry parameters in the entire sample and in the 4 subgroups. Data are presented as means ± SDs. Statistical significance was set for p values ≤ 0.05.
Table 1. Anthropometric, blood pressure, blood chemistry, and fitness parameters at baseline. Baseline values: Mean values of anthropometric, blood pressure and blood chemistry parameters in the entire sample and in the 4 subgroups. Data are presented as means ± SDs. Statistical significance was set for p values ≤ 0.05.
OutcomesTotal Sample
n = 108
(F = 73; M = 35)
OB-GYM
n = 49
(F = 33; M = 16)
OB-NW
n = 37
(F = 30; M = 7)
DM2-GYM
n = 10
(F = 4; M = 6)
DM2-NW
n = 12
(F = 6; M = 6)
Fp Values
Age56.44 ± 5.9455.29 ± 5.6756.62 ± 5.859.6 ± 6.558 ± 6.351.890.14
Body weight (kg)100.75 ± 15.4101.07 ± 16.7198.50 ± 14.87104.51 ± 14.38103.23 ± 12.580.570.64
BMI (kg/m2)36.47 ± 5.1136.6 ± 4.9936.37 ± 5.8535.48 ± 4.3237.07 ± 4.070.190.90
FM index (kg of fat mass/m2)15.27 ± 4.2415.22 ± 3.9115.74 ± 4.6413.62 ± 4.1615.46 ± 4.60.650.58
FFM index (kg of fat free mass/m2)19.87 ± 2.2720.05 ± 2.2319.15 ± 1.9920.77 ± 2.9120.49 ± 2.362.170.08
Waist circumference (cm)115.93 ± 10.52114.88 ± 11.26115.5 ± 9.83118.5 ± 9.88119.25 ± 10.220.770.51
Waist–Height Ratio0.7 ± 0.060.69 ± 0.070.7 ± 0.070.69 ± 0.060.72 ± 0.070.490.69
SBP (mmHg)135 ± 13.08134.69 ± 10.43135 ± 12.95137 ± 16.02134.55 ± 21.270.090.97
DBP (mmHg)82.52 ± 8.9483.64 ± 7.8380.86 ± 9.6685 ± 7.0780.46 ± 12.141.130.34
Fasting blood glucose (mg/dL)105.13 ± 30.8395 ± 12.6494.62 ± 11.66149 ± 58.25138.83 ± 35.4524.58<0.01
HbA1c (%)6.04 ± 0.995.71 ± 0.525.76 ± 0.417.17 ± 1.917 ± 1.0715.17<0.01
Total cholesterol (mg/dL)210.76 ± 36.78218.06 ± 35.26207.91 ± 35.67201.9 ± 41.52196.67 ± 39.91.520.22
HDL cholesterol (mg/dL)49.65 ± 11.4849.83 ± 9.9953.06 ± 13.8643.1 ± 8.8944.75 ± 8.072.980.04
Triglycerides (mg/dL)151.81 ± 82.19142.49 ± 66.51130.67 ± 46.22253.9 ± 169.79162.92 ± 53.077.28<0.01
Vertical bending (cm)−9.67 ± 9.34−9.89 ± 9.31−6 ± 2−12 ± 10.61−8.6 ± 13.330.510.68
Horizontal bending (cm)24.89 ± 9.7224.26 ± 8.8333.33 ± 7.0621 ± 9.5327 ± 15.682.260.09
VO2 max (mL/kg/min)13.98 ± 9.2514.40 ± 8.7711.88 ± 12.8514.77 ± 1211.6 ± 2.850.160.92
Abbreviations: F: females; M: males; OB-GYM: individuals with obesity participating at gym-based exercise program; OB-NW: individuals with obesity participating in the Nordic walking exercise program; DM2-GYM: obese individuals with DM2 participating in the gym-based exercise program; DM2-NW: obese individuals with DM2 participating in the Nordic walking program; BMI: body mass index; FM: fat mass; FMM: fat-free mass; SBP: systolic blood pressure; DBP: diastolic blood pressure; HbA1c: glycosylated hemoglobin; HDL: high-density lipoprotein; VO2 max: maximal oxygen.
Table 2. Exercises for both Nordic walking (NW) program and gym-based exercise program (GYM).
Table 2. Exercises for both Nordic walking (NW) program and gym-based exercise program (GYM).
Nordic Walking
PhaseExerciseDurationSetsRepetitionsIntensity
Warm up 10 min
Main partNordic walking60–65 min 40 to 60% HRR
Cool downStretching15 min
GYM Program
Warm upTreadmill, or walking, or cycling10 min
Main partTreadmill12 min 40 to 60% HRR
Leg press 22055 to 70% 1-RM
Cycle ergometer4 min 40 to 60% HRR
Lat machine 22055 to 70% 1-RM
Arm ergometer4 min 40 to 60% HRR
Chest press 22055 to 70% 1-RM
Cardio4 min 40 to 60% HRR
Abdominal 310–1555 to 70% 1-RM
Cardio4 min 40 to 60% HRR
Leg extension 22055 to 70% 1-RM
Cool downTreadmill, or walking, or cycling Stretching15 min
Abbreviations: HRR: heart rate reserve; 1RM: 1-repetition maximum.

Share and Cite

MDPI and ACS Style

Pippi, R.; Di Blasio, A.; Aiello, C.; Fanelli, C.; Bullo, V.; Gobbo, S.; Cugusi, L.; Bergamin, M. Effects of a Supervised Nordic Walking Program on Obese Adults with and without Type 2 Diabetes: The C.U.R.I.A.Mo. Centre Experience. J. Funct. Morphol. Kinesiol. 2020, 5, 62. https://doi.org/10.3390/jfmk5030062

AMA Style

Pippi R, Di Blasio A, Aiello C, Fanelli C, Bullo V, Gobbo S, Cugusi L, Bergamin M. Effects of a Supervised Nordic Walking Program on Obese Adults with and without Type 2 Diabetes: The C.U.R.I.A.Mo. Centre Experience. Journal of Functional Morphology and Kinesiology. 2020; 5(3):62. https://doi.org/10.3390/jfmk5030062

Chicago/Turabian Style

Pippi, Roberto, Andrea Di Blasio, Cristina Aiello, Carmine Fanelli, Valentina Bullo, Stefano Gobbo, Lucia Cugusi, and Marco Bergamin. 2020. "Effects of a Supervised Nordic Walking Program on Obese Adults with and without Type 2 Diabetes: The C.U.R.I.A.Mo. Centre Experience" Journal of Functional Morphology and Kinesiology 5, no. 3: 62. https://doi.org/10.3390/jfmk5030062

Article Metrics

Back to TopTop