Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,835
Books209
All textbooksMedical textbooksHuman anatomyOrganisms & biodiversityOther sciences
Open-access articles1,406Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology182Genetics and Genomics170Neuroscience185Cardiovascular Medicine180Immunology142Pharmacology173Molecular Biology161Infectious Diseases150Rare and Inherited Diseases181Clinical Research173Anatomy and Physiology613Drugs and Chemicals621Psychiatry and Psychology185Public Health and Nutrition178Diagnostics and Medical Technology125Respiratory Medicine113Digestive System and Liver91Metabolism and Endocrine Disease177Bones, Joints, Muscles and Skin213Kidney, Urology and Women's Health173Eye, Ear, Nose and Throat55
Plans & pricingCompare EvidenceHelix workspace plans
Library›Open-access articles›Article

Continue where you left off ()

GO BEYOND THE PAGEReading is just the beginning.

Turn scientific reading into research. Compare studies, examine evidence, and organize your findings in EvidenceHelix Workspace.

Explore Research Workspace →

EvidenceLib · Open-access article · Respiratory Medicine

EFFECTS OF NORDIC WALKING IN PEOPLE WITH RESPIRATORY DISEASES: A SYSTEMATIC REVIEW AND META-ANALYSIS

María VILANOVA-PEREIRA, Margarita BARRAL-FERNÁNDEZ, Noé LABATA-LEZAUN, Luis LLURDA-ALMUZARA, Albert PÉREZ-BELLMUNT, Cristina JÁCOME, Ana LISTA-PAZ

Journal of Rehabilitation Medicine 2025 · doi:10.2340/jrm.v57.43090

CC BY 4.0Full textApproximately 43 min read68 references

Table of Contents

AbstractKey pointsIn this articleMETHODSRESULTSDISCUSSIONSupplementary MaterialACKNOWLEDGEMENTSFootnotesREFERENCESAssociated DataReferences

Abstract

Objective

To systematically review and meta-analyse the effects of Nordic Walking in patients with respiratory diseases.

Design

Systematic review and meta-analysis.

Subjects/Patients

People with respiratory diseases.

Methods

A systematic review from 9 databases and 1 trial register was conducted. Randomized controlled trials and quasi-experimental studies involving children or adults with respiratory diseases participating in Nordic Walking were included. A qualitative synthesis was conducted. When feasible, a meta-analysis was performed.

Results

Thirteen studies were included, involving 514 participants. The qualitative synthesis suggested that Nordic Walking has benefits in exercise tolerance, physical activity, physical fitness, dyspnoea, lung function, and mood status. Meta-analysis was only possible for exercise tolerance, through a 6-minute walking test assessed in 7 studies, which indicated that Nordic Walking had similar effect to other interventions (mean difference 4.4; 95% confidence interval –88.1–96.9 m, p = 0.93).

Conclusion

This systematic review demonstrates potential benefits of Nordic Walking in terms of exercise tolerance, physical activity, physical fitness, and dyspnoea, in people with respiratory diseases, comparable to other exercise forms. Further evidence is needed, particularly in studies analysing a structured Nordic Walking intervention with individually prescribed intensity.

Key word: exercise tolerance, lung diseases, Nordic Walking, respiratory tract diseases,

Key points

  • Thirteen studies were included, involving 514 participants.
  • The qualitative synthesis suggested that Nordic Walking has benefits in exercise tolerance, physical activity, physical fitness, dyspnoea, lung function, and mood status.
  • This systematic review demonstrates potential benefits of Nordic Walking in terms of exercise tolerance, physical activity, physical fitness, and dyspnoea, in people with respiratory diseases, comparable to other exercise forms.
  • Further evidence is needed, particularly in studies analysing a structured Nordic Walking intervention with individually prescribed intensity.

Sentences taken unchanged from the authors’ abstract, as a reading aid. Not a new analysis and not medical advice.

In this article

  1. DISCUSSION: This systematic review and meta-analysis suggest that NW may be effective in improving exercise tolerance, physical activity, physical fitness, and dyspnoea, with benefits comparable to those achieved through other forms of exercise. NW was not superior to educational sessions and standard care in terms of anthropometry and adherence.

Opening sentences of each section, unchanged.

Respiratory diseases pose a huge burden worldwide, with lower respiratory tract diseases, chronic obstructive pulmonary disease (COPD), asthma, tuberculosis, and lung cancer ranking among the 25 top conditions with highest disability-adjusted life years (DALYs) (1). Research indicates that lower levels of physical activity may contribute to an increase in DALYs, while regular exercise has been proven to be an effective intervention for managing many of these respiratory diseases (2–8).

Exercise training is a key component of pulmonary rehabilitation in patients with COPD (9). Pulmonary rehabilitation can lead to an improvement in exercise tolerance, skeletal and respiratory muscle function, efficiency of movement, symptoms of dyspnoea and fatigue, and health-related quality of life (HRQoL) (10). In patients with asthma, it has been demonstrated that exercise can reduce the use of rescue medication and exacerbations (11), and improve HRQoL, exercise tolerance (12), asthma control, and lung function (4). Exercise is part of the multidisciplinary care offered to people with cystic fibrosis and advanced lung cancer, enhancing exercise tolerance and HRQoL (5, 7). These 2 domains are also improved in prehabilitation (before surgery) and rehabilitation after lung transplantation (6). On the other hand, in acute conditions, such as COVID-19, exercise can improve dyspnoea, anxiety, muscle strength, exercise tolerance, and HRQoL (2).

It is well established that exercise has a significant dose–response relationship, with greater benefits observed at higher intensities (13). However, for patients with respiratory diseases, higher intensity exercise can pose a barrier due to increased dyspnoea and discomfort (14). In this regard, Nordic Walking (NW) is a form of exercise consisting of walking naturally, respecting the biomechanics of walking, but enhancing it by using a pair of poles for propulsion (15). This activity has been shown to be a modality of exercise that potentially generates higher values of oxygen consumption (VO2), heart rate (HR), and caloric expenditure, without increasing perceived exertion (16, 17). This results in greater upper body involvement compared with normal walking, engaging muscles throughout the body (18). NW has been studied in different populations demonstrating positive effects (19–21). In individuals with obesity or overweight, it has been shown to improve exercise tolerance, VO2, HR, and bodyweight (19–21). In cardiovascular conditions, NW has been demonstrated to be effective in improving exercise tolerance and functional fitness in people with acute coronary syndrome (22). Additionally, NW leads to improvements in exercise tolerance, physical activity, HRQoL, and grip strength in patients with heart failure (23, 24), and leads to improvements in balance, gait, and performance in activities of daily living in post-stroke survivors (25, 26). In Parkinson’s disease, NW lead to improvements in walking ability (27–29) and HRQoL (30), and also when compared with other interventions. To date, systematic reviews have been carried out in the aforementioned populations (19, 31–33) as well as in women after breast cancer (34), and in older adults (35).

There are some original studies that have been focused on the effects of NW in respiratory diseases. However, no systematic review has summarized and pooled its effects. Therefore, we aimed to systematically review and meta-analyse the effects of NW in patients with respiratory diseases.

METHODS

Study design

This systematic review and meta-analysis was reported following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines (36). The protocol for this review was previously registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42022335034).

Eligibility criteria

We included randomized controlled trials (RCT) and quasi-experimental studies involving children or adults with respiratory diseases, comparing NW (either as a standalone intervention or as part of a broader intervention) with other interventions including standard care. Studies that included patients with respiratory diseases were accepted, even if the patient cohort was mixed with individuals who had other diseases. We also considered studies without comparison arms. Studies were eligible if they reported data on at least 1 of the following outcomes: exercise tolerance, physical activity, physical fitness, dyspnoea, HRQoL, lung function, anthropometry, mood status, medication adherence, medicine intake, exacerbations, emergency department visits, hospital admissions, or work absenteeism. Feasibility outcomes such as NW adherence and adverse effects were also recorded. No language restrictions were applied; however, the text had to be suitable for accurate interpretation through translation services if the researchers were not proficient in the language.

Information sources and search

A comprehensive search was performed in May 2024, and updated until July 2025, in 9 databases (PubMed/MEDLINE; Physiotherapy Evidence Database – PEDro; Scopus; Web of Science; Cumulative Index to Nursing and Allied Health Literature – CINAHL; Cochrane Central Register of Controlled Trials – CENTRAL; Latin American and Caribbean Health Science Information Database – LILACS; Índice Bibliográfico Español en Ciencias de la Salud – IBECS; SPORTDiscus) and in 1 register (Clinicaltrials.gov). The search focused on 2 domains (population and intervention) using a combination of standardized Medical Subject Headings (MeSH) and free-text terms, grouping with Boolean operators (AND, OR):

  1. Population: respiratory tract diseases OR lung transplantation OR COVID-19 OR SARS-CoV-2 OR pulmonary diseases OR asthm* OR bronchit* OR bronchiectas* OR chronic obstructive pulmonary disease OR COPD OR lung transplantation OR lung cancer;
  2. Intervention: Nordic Walking OR (walking AND Nordic) OR (walking AND poles) OR walking with poles OR pole striding OR polestriding OR nordic pole walking OR pole walking.

The participant and intervention domains were combined using the AND operator (Appendix A). The Comparison (C) domain was intentionally omitted to allow for a broader range of study designs without restricting interventions in control groups (e.g., standard care, education, other types of exercise, etc.). Furthermore, references in the included studies were screened to identify other potentially relevant studies.

Study selection

Two authors (MVP and MBF) screened the articles independently using Covidence software (https://www.covidence.org/) (37). After removing duplicate studies, the authors initially identified relevant works by title and abstract, followed by a full-text review. In cases of disagreement, a third author (ALP) was consulted. The Cohen kappa coefficient (κ) was calculated to assess inter-rater agreement. The κ values can be interpreted as: slight agreement (≤ 0.2), fair agreement (0.21–0.4), moderate agreement (0.41–0.6), substantial agreement (0.61–0.8), and almost perfect agreement (≥ 0.81) (38).

Data extraction

Data extraction was performed independently by 2 authors (MVP and MBF) using a standardized form that included: author’s last name and year of publication, study design, country, population, sample size (age, sex, forced expiratory volume in the first second – FEV1), dropouts, intervention, outcomes, and results. In cases of missing data, the authors were contacted to request the information.

Assessment of methodological quality and risk of bias

The risk of bias and methodological quality were assessed independently by 2 authors (MVP and MBF) using the Cochrane Risk of Bias (RoB 2) tool (39) and the PEDro scale (40). The RoB 2 is used to assess the risk of bias in RCTs, and to evaluate the quality and reliability of evidence (39). The PEDro scale is specifically designed for assessing the methodological quality of RCTs from the physiotherapy field (40). In cases of disagreement, a third author (ALP) was consulted. Inter-rater reliability was calculated with κ (38).

RoB 2 assesses 5 different domains: randomization process, deviation from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result. Each domain, as well as the overall risk of bias, is classified as low (coded as green), some concerns (yellow), or high risk of bias (red) (39).

The PEDro scale assesses 11 domains, but only 10 of these are used to calculate the final score (all except the eligibility criteria). These domains include: eligibility criteria, random allocation, concealed allocation, baseline between-group similarity, blinding of participants, blinding of therapists, blinding of assessors, dropouts, intention-to-treat statistical analysis, and between-group statistical comparison, and reporting of point measures and measures of validity. Each domain is scored with 1 or 0 points depending on compliance (1 point if met). A total PEDro score lower than 4 is considered “poor”, from 4 to 5 is considered “fair”, 6 to 8 is “good”, and 9 to 10 is deemed “excellent” (40).

Data synthesis and analysis

To analyse study and intervention characteristics, we first employed a qualitative synthesis. Results of the quantitative outcomes were qualitatively summarized. Intragroup analysis was only summarized in the case of missing intergroup analysis, or if there was no control group (CG).

Meta-analysis was performed when at least 3 studies were found using the same outcome measure. Statistical analyses were made with Review Manager 5 (Cochrane Collaboration, Oxford, UK). For continuous outcomes, sample size, post-intervention means, and standard deviations (SD) were extracted and used for the statistical analysis.

Mean difference (MD) or standard mean difference (SMD) was used as the effect size if the studies used the same or different tools/units of measurement, to measure outcomes respectively. Effect sizes were expressed with their 95% confidence interval (CI). P < 0.05 was considered statistically significant.

Heterogeneity was evaluated by the I2 statistic: I2 lower than 25% was considered low, between 25% and 50% moderate, and higher than 50% as high heterogeneity (41). A sensitivity analysis was performed to evaluate the consistency of the results repeating the meta-analysis but removing each article individually. Subgroups were considered by type of intervention delivered to the CG classified as no exercises (such as educational sessions or standard care) and active intervention.

RESULTS

Study selection

A search of the database yielded 155 studies (Fig. 1). After duplicates were removed, 96 titles and abstracts were screened and 63 were excluded at this stage. The remaining 33 articles were selected for full-text screening; however, 2 could not be retrieved and therefore were excluded. Twenty works were excluded, 13 met the criteria for qualitative analysis and 7 for quantitative analysis. The κ between the 2 reviewers demonstrated excellent agreement in both abstract/title (κ = 0.83, 95% CI 0.61–1.05) and full-text (κ = 0.94, 95% CI 0.59–1.29) screening.

Fig. 1 . Flow diagram of the literature search. (Figure not reproduced here; see the original article.)

Study characteristics

Details regarding the included studies can be found in Table I. The 13 studies were published between 2010 and 2024. Most studies were conducted in Europe; 4 of them were conducted by the same research group in Poland (42–45). Eight were RCTs (43, 46–52) and 5 quasi-experimental studies, 4 with-out randomization (42, 44, 53, 54) and 1 without CG (45). The missing of partial data in 11 studies was due to a lack of response from authors (42–45, 49, 51, 53, 54) or because authors did not provide data (46, 47, 52).

Table I Characteristics of the included studies
First author (year), countryDesignParticipantsInterventionOutcome measuresFindings
Acar et al. (2023)TurkeyRCTPatients with COVID-19NWGn = 15M/F: 12/324 (22–49) yrsCGn = 15M/F: 10/524 (22–50) yrsDropouts: 0NWG IndividualSupervised in the 1st wk, unsupervised 8 wks7 wks3 days/wk15 min 1st and 2nd day; 20 min 3rd day; 25 min/day 1st wk; 35 min/day 2nd wk; 45 min/day 3rd–6th wk60-80% HRmax and 4–5 out of 10 (mBorg) (Stretching, normal joint movement, and breathing exercises as warm up and cool down)CGNoneExercise tolerance: 6MWTPhysical activity: IPAQ-SFPhysical fitness: Chair sit-and-stand, arm curl, two-mins step, TUGDyspnoea: mMRCQuality of life: NHPMood status: BDSNWG (pre; post; p-value intragroup, p-value intergroup)median (Q1-Q3)↑6MWT (m) 448 (230-600); 580 (520–710); p = 0.001; p = 0.001↑IPAQ-SF 1,139 (360–2295); 1,560 (695–3,150); p = 0.112; p = 0.967↑Chair sit-and-stand (rep) 14 (10–19); 18 (16–22); p = 0.001; p = 0.041↑Arm curl (rep): right 21 (12–27); 25 (20–30); p = 0.006; p = 0.018); left (20 (10–28); 24 (20–30); p = 0.001; p = 0.041)↑Two-minutes step (rep) 92 (60–130); 106 (102–168); p = 0.011; p = 0.020↓TUG (s) 6 (4–9); 4 (3.5–5); p = 0.001; p = 0.001↓mMRC 1 (0–3); 0 (0–2); p = 0.014; p = 0.380↓NHP: 37.40 (0–184.48); 0 (0–63.89; p = 0.036; p = 0.057↑BDS 4(0–29); 5 (0–30); p = 0.968; p = 0.631CG (pre; post; p-value intragroup) median (Q1-Q3)↑6MWT (m) 442.80 (200–650); 524 (470–570); p = 0.140↑IPAQ-SF 450 (150–4,050); 660 (440–1,702); p = 0.638↑Chair sit and stand (rep) 13 (10–23); 17 (13–19); p = 0.167Arm curl (rep) ↓Right 23 (11–38); 20 (13–30); p = 0.123 ↑Left 21 (11–26); 21 (13–30); p = 0.505↓Two-minutes step (rep) 101 (71–152); 97 (90–120); p = 0.020↓TUG (s) 6 (4–8); 5.6 (4.80–6.20); p = 0.051↓mMRC 1 (0–3); 1 (0–3); p = 0.157↓NHP 10 (0–92); 0 (0–85); p = 0.432↑BDS 2 (1–26); 5 (0–47); p = 0.125
Rinaldo et al. (2017)ItalyRCTPatients with mild to severe COPDNWGn = 12 (excluding dropouts)M/F: 12/066.1 ± 4.5 yrsFEV1 72.2 ± 18.8% predCGn = 12 (excluding dropouts)M/F: 12/066.2 ± 4.2 yrsFEV1 60.1 ± 24.3% predDropouts: 4 (2 in each group)NWG Delivery mode: NRSupervised completely during first 5 wks, partially supervised during 9 wks, not supervised last 14 wks28 wks3 days/wk20 min3–4 out of 10 (mBorg) (Extra 40 min: 10–15 repetitions of each exercise from 2–4 circuits for weight-free exercises and 3–4 out of 10 (mBorg) for aerobic classes)CG Delivery mode: NRSupervised28 wks3 days/wk60 min (30 min endurance, 30 min resistance)3–4 out of 10 (mBorg) for endurance 50–80% 1RM for resistanceExercise tolerance: 6MWTPhysical activity: DEEPhysical fitness: -Upper body and bilateral lower limb strength (1RM): leg extension and chest press-Balance: timed one-leg stance testQuality of life: MRF26Adherence: sessions attendanceNWG (pre; post; p-value post vs. pre; follow-up; p-value follow-up vs. post intragroup; p-value time x group interaction)↑6MWT (m) 519 ± 72; 540 ± 48; p > 0.05) ↓follow-up (506 ± 65; p > 0.05; p = 0.565↑DEE (kcal) 3,465 ± 580; 3,660 ± 974; p > 0.05) ↓follow-up (3,290 ± 654; p > 0.05; p = 0.852↑leg extension (kg) 64.1 ± 21.8; 65.6 ± 20.4; p > 0.05 ↓follow-up 60.2 ± 17.3; p > 0.05; p = 0.046↓chest press (kg) 57.8 ± 15.1; 54.3 ± 13.9; p > 0.05; 49.6 ± 9.2; p > 0.05; p = 0.011↑timed one-leg stance test (s) 72.5 ± 47.6; 104.6 ± 33.8; p > 0.05; 89.6 ± 36.3; p > 0.05; p = 0.299↓MRF26 5.3 ± 2.1; 2.8 ± 2.7; p > 0,05; 4.1 ± 2.1; p > 0.05; p = 0.096Adherence: 100%CG (pre; post; p-value post vs pre; follow-up; p-value follow-up vs post intragroup)↑6MWT (m) 455 ± 110; 480 ± 121; p > 0.05 ↓follow-up 409 ± 172; p > 0.05↑DEE (kcal) 3,070 ± 475; 3,140 ± 522; p > 0.05 ↓follow-up 2,890 ± 617; p > 0.05↑leg extension (kg) 59.2 ± 18.2; 65.8 ± 24.0; p < 0.05, ↓follow-up 54.6 ± 26.5; p < 0.05↑chest press (kg) 41.4 ± 8.9; 50.0 ± 8.8; p < 0.05, ↓follow-up 39.5 ± 7.4 ; p < 0.05↑timed one-leg stance test (s) 47.7 ± 48.2; 107.2 ± 22.3; p > 0.05; 81.4 ± 41.7; p > 0.05MRF26: 7.2 ± 3.8; 4.1 ± 4.4; p > 0.05; 6.1 ± 4.3; p > 0.05Adherence: 87%
Rutkowska et al. (2019)PolandRCTPatients with NSCLC at stages IIIB or IV, disqualified from surgeryNWGn = 20 (excluding dropouts)M/F: 18/259.1 ± 6.8 yrsFEV1 76 ± 16% predCGn = 10 (excluding dropouts)M/F: 9/161.3 ± 8.8 yrsFEV1 70 ± 23% predDropouts: NWG (4 chemotherapy-related events; 1 death; 1 not motivated) CG (3 chemotherapy-related event; 1 not motivated)NWG Delivery mode: NRSupervised6 wks (intervention 4 wks with 2 wks of rest in between)5 days/wk45 minNW NR (done or not depending on health condition and weather) (Until complete approximately 3 h: treadmill 30–80% peak work rateResistance exercise 40–70% 1RM)CGNoneExercise tolerance: 6MWTPhysical fitness: chair sit-and-stand, arm curl, TUGDyspnoea: -mMRC-BDI-mBorgLung function: spirometry (FEV1, FVC, FEV1/FVC)NWG (pre; post; p-value intragroup; p-value intergroup)↑6MWT (m) 486 ± 92; 531 ± 103; p = 0.01; p = 0.09↑chair sit-and-stand (rep) 13.3 ± 2.8; 14.3 ± 3.4; p = 0.01; p = 0.17↑arm curl (rep) 18.4 ± 3.1; 20.4 ± 3.5; p = 0.001; p = 0.36↓TUG (s) 6.3 ± 1.0; 6.0 ± 1.1; p = 0.01; p = 0.01↑mMRC 0.7 ± 0.9; 0.7 ± 1.0; p = 0.18; p = 0.18↑BDI 9.5 ± 2.1; 9.5 ± 2.4; p = 0.83; p = 0.83↓mBorg dyspnoea scale 1.7 ± 2.2; 1.5 ± 2.1; p = 0.04; p = 0.04↑FEV1 (% pred) 76 ± 16; 84 ± 15; p = 0.01; p = 0.08↑FVC (% pred) 87 ± 14; 95 ± 13; p = 0.01; p = 0.06↑FEV1/FVC (% pred) 70 ± 13; 76 ± 12; p = 0.04; p = 0.01CG (pre; post; p-value intragroup)↑6MWT (m) 487 ± 100; 490 ± 124; p = 0.92↑chair sit-and-stand (rep) 11 ± 1.8; 11.2 ± 1.5; p = 0.34↑arm curl (rep) 15.2 ± 3.0; 16.2 ± 3.3; p = 0.06↑TUG (s) 6.0 ± 0.4; 6.3 ± 0.8; p = 0.046↓mMRC 0.6 ± 1.0; 0.3 ± 0.7; p = 1↓BDI 9.9 ± 2.6; 9.8 ± 2.4; p = 0.72↑mBorg 1.1 ± 1.0; 2.6 ± 2.5; p = 0.42↓FEV1 (% pred) 70 ± 23; 68 ± 24; p = 0.68↑FVC (% pred) 80 ± 21; 80 ± 22; p = 0.83↓FEV1/FVC (% pred) 82 ± 17; 71 ± 12; p = 0.03
Jastrzebski et al. (2013)PolandQEPatients referred to lung transplantation(COPD, IPF, and IIP)NWGn = 22 (excluding dropouts)M/F: 22/050.4 yrsFEV1: 34% predDropouts: 4 (2 lung transplantation, 2 exacerbation)NWG IndividualSupervised12 wks~3 days/wk60 min75% HRmax in exercise testing, walking the distance achieved in 6MWT Exercise tolerance: 6MWTQuality of life: SF-36Lung function: spirometry (FEV1, FVC, FEV1/FVC)NWG (pre; post; p-value intragroup)↑6MWT (m) 310.2 ± 130.2; 372.1 ± 163.7; p < 0.05SF-36:↑PCS 27.2 ± 8.2; 30.8 ± 7.3; p < 0.05↓MCS 40.7 ± 11.2; 38.9 ± 8.5; p > 0.05↑FEV1 (% pred) 34; 42; p > 0.05↑FVC (% pred) 44; 53; p < 0.05↑FEV1%VC 61; 65; p > 0.05
Yogeshwaran et al. (2024)IndiaRCTPatients with asthma (stage I and II)NWGn = 20FEV1 1.790 ± 0.085 LCGn = 20FEV1 1.785 ± 0.081 LDropouts: NRNWG Delivery mode: NRNot supervised4 wks3 to 5 times/wk30 minIntensity NR CG Calisthenic exerciseDelivery mode: NRNot supervised4 wks3 to 5 times/wk30 min/dayIntensity NR Exercise tolerance: 6MWTLung function: spirometry (FEV1)NWG (pre; post; p-value intragroup)↑6MWT (m) 264 ± 13.92; 351.50 ± 13.09; p < 0.0001↑FEV1 (L/min) 1.790 ± 0.085; 2.580 ± 0.185; p < 0.0001CG (pre; post; p-value intragroup)↑6MWT 262.5 ± 15.52; 323 ± 15.93; p < 0.0001↑FEV1 (L/min) 1.785 ± 0.081; 2.340 ± 0.105; p < 0.0001
Sivagnanam et al. (2023)IndiaRCTPatients with asthmaNWGn = 20CGn = 20Dropout: NRNWG IndividualSupervised12 wks3 days/wk20 minIntensity: patient’s own pace (+ 20 min: warm-up and cool-down)CG Delivery mode and supervision NR12 wks3 days/wk20 min bicycle ergometer training60rpm, 75% HRmax (+ 20 min: warm-up and cool-down)Exercise tolerance: 6MWTDyspnoea: mBorgQuality of life: mAQLQNWG (pre; post; p-value intragroup; p-value intergroup)↑6MWT (m) 327 ± 70.09; 616 ± 54.4; p < 0.001; p < 0.001↓mBorg 7.8 ± 0.78; 5.3 ± 0.67; p < 0.001; p < 0.001↑mAQLQ 30.1 ± 4.01; 59.2 ± 5.8; p < 0.001; p < 0.001CG (pre; post; p-value intragroup)↑6MWT (m) 302 ± 41.0; 854.9 ± 105.9; p < 0.001↓mBorg 7.5 ± 1.08; 2.7 ± 0.67; p < 0.001↑mAQLQ 28.9 ± 2.37; 81.5 ± 5.4; p < 0.001
Cunningham et al. (2020)CanadaRCT (feasibility)Patients with NSCLC, prostate, colorectal, or endometrial cancerNWGn = 4 (including dropout)M/F: 2/268 ± 6.4 yrsCGn = 4M/F: 0/467 ± 6 yrsDropouts: 1 (death in family)NWG IndividualSupervised 1 day/wk8 wks4 days/wk or 2 days/wk (2 participants each frequency)20–60 min12–15 out of 20 in Original Borg Scale CGNoneExercise tolerance: -6MWT-30-s chair stand test-UULEEXPhysical activity: IPAQPhysical fitness: handgrip strengthQuality of life: SF-36Anthropometry: BMI, WCNWG (pre; post; p-value intragroup)↑6MWT (m) 435.9 ± 169.0; 512.3 ± 153; p > 0.05↑30 s chair stand (rep) 10.5 ± 3.7; 14.3 ± 4.2; p < 0.05↑UULEEX (min) 10.9 ± 5.7; 11.7 ± 5.8; p > 0.05↑Handgrip strength (kg) right 25.1 ± 15.6; 30.2 ± 16.0; p > 0.05) left 28.1 ± 16.1; 33.0 ± 13.3; p > 0.05↑IPAQ (MET-min/week) 2346.0 ± 2532.6/5051.0 ± 3455.7; p > 0.05SF-36↑PCS 38.60 ± 16.56; 40.45 ± 16.58; p > 0.05↑MCS 47.87 ± 15.50; 48.47 ± 20.66; p > 0.05↑BMI 23.9 ± 4.0; 25.7 ± 4.7; p > 0.05↑WC 93.0 ± 9.0; 99.2 ± 9.3; p > 0.05CG (pre; post; p-value intragroup)↑6MWT (m) 489.4 ± 77.1; 523.6 ± 46.0; p > 0.05↑30 s chair stand 9.5 ± 2.4; 11.8 ± 3.2; p > 0.05↑UULEEX (min) 13.0 ± 2.5; 13.8 ± 2.4; p > 0.05Handgrip strength (kg) ↓right 23.4 ± 3.2; 23.3 ± 2.7; p > 0.05 ↑left 20.2 ± 4.6; 22.2 ± 5.7; p > 0.05↓IPAQ (MET-min/week) 4419.0 ± 4021.9; 1743.3 ± 1987.0; p > 0.05SF-36↑PCS 39.74 ± 11.87; 43.96 ± 44.35; p > 0.05↓MCS 47.61 ± 13.26; 44.35 ± 12.92; p > 0.05↓BMI 29.7 ± 6.1; 29.0 ± 5.9; p > 0.05↓WC 101.1 ± 14.6; 99.5 ± 13.6; p > 0.05
Ochman et al. (2018)PolandQEPatients referred to lung transplantation (COPD, ILD)NWGn = 22M/F: 22/050.4 ± 7.84 yrsFEV1: 39.0 ± 20.5% predCGn = 18M/F: 16/253.6 ± 8.79 yrsFEV1: 43.0 ± 22.2% predDropouts: NRNWG IndividualSupervised (4 out of 12 wks)12 wks~3 days/wk60 minIntensity: NR CGNoneExercise tolerance: 6MWTDyspnoea: -mMRC-BDIQuality of life: SF-36Lung function: spirometry (FEV1, FVC, FEV1/FVC)NWG (pre; post; p-value intragroup; p-value intergroup)↑6MWT (m) 310; 373; p = 0.0378; p = 0.034-mMRC NR; NR; p > 0.05; p = 0.002BDI data intragroup NR; p < 0.05SF-36:↑PCS NR; NR; p = 0.011; p = 0.039MCS NRFEV1 (% pred)intragroup NR; p > 0.05↑FVC (% pred)47.66 ± 15; 52.78; p = 0.009; p > 0.05↓FEV1/FVC 73.4 ± 23.6; NR; NR; p > 0.05CG (pre; post; p-value intragroup)↓6MWT (m) 326; 268; p = 0.0059↑mMRC 3.5; NR; p = 0.02BDI data intragroup NRSF-36 data intragroup NR↓FEV1 (% pred) 43.0 ± 22.2; NR; p = 0.042↓FVC (% pred) 50.4 ± 16.5; NR; p > 0.05↑FEV1/FVC 81.3 ± 24.9; NR; NR
Ruban et al. (2019)UkraineRCTPatients with COPD (stage IIB in remission)NWGn = 35M/F 35/0FEV1: 62.24 ± 2.37% predCGn = 17M/F: 17/0FEV1: 63.19 ± 2.18% predDropouts: NRNWG GroupSupervised28 days4 times/wk60 min30–50 steps per min1,500-2,500 m/day, flat terrain, inhalation 2–3 steps, exhalation 5–6 CG GroupSupervised28 days4 times/wkSession duration: ~65 min General exercises for muscles (8–10 reps), massage, light tapping (40–60 beats/min), inhalers as usualExercise tolerance: 6MWTLung function: spirometry (FVC, FEV1, FEV1/FVC) Stange test(s), Genchi test(s)NWG (pre; post; p-value intragroup)↑6MWT (m) 512.13 ± 13.10; 614 ± NR; p < 0.05↑FVC (% pred) 63.57 ± 2.16; 72.52 ± NR; p < 0.05↑FEV1 (% pred) 62.24 ± 2.37; 69.18 ± NR; p < 0.05↑FEV1/FVC (% pred) 65.05 ± 2.47; 72.18 ± NR; p < 0.05↑Stange test(s) 28.89 ± 2.26; NR; p < 0.05↑Genchi test(s) 18.36 ± 1.20; NR; p < 0.05CG (pre; post; p-value intragroup)↑6MWT (m) 532.18 ± 12.87; 555 ± NR; p > 0.05↑FVC (% pred) 64.28 ± 2.29; 66.72 ± NR; p > 0.05↑FEV1 (% pred) 63.19 ± 2.18; 65.12 ± NR; p > 0.05↑FEV1/FVC (% pred) 67.05 ± 1.29; 68.67 ± NR; p > 0.05↑Stange test(s) 32.54 ± 2.19; NR; p < 0.05↑Genchi test(s) 21.21 ± 1.14; NR; p < 0.05
Breyer et al. (2010)AustriaQEPatients with COPDNWGn = 30 (excluding dropouts) M/F: 14/1661.9 ± 8.87 yrsFEV1: 48.1 ± 19.1% predCGn = 30 (excluding dropouts)M/F: 13/17 59.0 ± 8.02 yrsFEV1: 47.1 ± 16.3% predDropouts = 5 (2 in NWG because of exacerbation, 3 in CG)NWG IndividualSupervised3 days/wk3 mo60 min75% HRmax CGNoneExercise tolerance: 6MWTPhysical activity: accelerometery (McRoberts)Quality of life: SF-36Mood status: HADSNWG (pre; post; p-value post vs. BL; 6 mo; p-value 6 mo vs BL; 12 mo; p-value 12 mo vs BL; p-value post inter-group)↑6MWT (m) 461 ± 154; 540 ± 159; p < 0.01; 531 ± 142; p < 0.01; 519 ± 160; p < 0.01; p < 0.01SF-36:↑PCS 32.2 ± 6.50; 42.5 ± 9.62; p < 0.01; 44.1 ± 8.12; p < 0.01; 43.6 ± 9.52; p < 0.01; p < 0.01↑MCS 42.8 ± 7.41; 47.2 ± 10.7; p > 0.05; 47.4 ± 8.91; p > 0.05; 46.3 ± 9.27; p > 0.05; NRHADS
↓anxiety 8.8 ± 2.4; 6.6 ± 2.3; p < 0.01; 7.3 ± 2.1; p < 0.01; 7.6 ± 1.9; p < 0.01; p < 0.01↓depression 9.9 ± 3.2; 6.3 ± 3.0; p < 0.01; 6.8 ± 3.0; p < 0.01; 7.9 ± 3.1; p < 0.01; p < 0.01CG (pre; post; p-value post vs BL; 6 mo; p-value 6 mo vs BL; 12 mo; p-value 12 mo vs BL)6MWT (m) ↑post 436 ± 128; 442 ± 133; p > 0.05 ↓6 mo 428 ± 138; p < 0.05 ↓12 mo 422 ± 130; p < 0.01SF-36:PCS ↑post 31.7 ± 5.79; 32.7 ± 6.39; p > 0.05 ↓6 mo 30.8 ± 7.40; p > 0.05 ↓12 mo 29.9 ± 6.89; p > 0.05MCS ↑post, 6 mo 39.2 ± 9.40; 41.53 ± 12.8; p > 0.05; 40.7 ± 9.36; p > 0.05 ↓12 mo 38.7 ± 8.71; p > 0.05HADSanxiety ↓post 10.5 ± 3.6; 10.2 ± 3.6; p > 0.05↑6 and 12 mo 10.5 ± 3.8; p > 0.05; 10.9 ± 3.6; p > 0.05depression ↑post, 6 mo 11.3 ± 3.1; 11.6 ± 3.2; p > 0.05; 11.3 ± 3.3; p > 0.05 ↓12 mo 11.7 ± 3.4; p > 0.05NWG (variance 3 mo; p-value 3 mo vs BL; variance 6 mo; p-value 6 mo vs BL; variance 9 mo; p-value 9 mo vs BL, p-value post intergroup)Accelerometry↑movement intensity (m/s2) +0.40 ± 0.14; p < 0.01; +0.25 ± 0.09; p < 0.01; NR; NR; p < 0.01↑time walking (min/day) +14.9 ± 1.9; p < 0.01; +12.7 ± 1.8; p = 0.024; +9.2 ± 2.9; p = 0.036; p = 0.034↑time standing (min/day) +129 ± 26; p < 0.01; +133 ± 14; p < 0.01; +105 ± 4; p < 0.01; p < 0.05↓time sitting (min/day) –128 ± 15; p < 0.01; -120 ± 32; p = 0.016; –101 ± 36; p = 0.032; p = 0.014CG (variance 3 mo; p-value 3 mo vs BL; variance 6 mo; p-value 6 mo vs BL; variance 9 mo; p-value 9 mo vs BL)Accelerometry↓movement intensity (m/s2) NR; p = 0.385; NR; NR; NR; p < 0.01↓time walking (min/day) NR; p > 0.05; NR; p > 0.05; NR; p > 0.05↑time standing (min/day) NR; p > 0.05; NR; p > 0.05; NR; p > 0.05↓time sitting (min/day) NR; p > 0.05; NR; p > 0.05; NR; p > 0.05
Kuzina et al. (2020)RusiaQEPatients (children) with atopic bronchial asthmaNWG:n = 30CG:n = 30Dropout: NRNWG Individual (personalized)Supervised14 sessionsEvery day, every other day or twice a wk30–90 minBetween 70 and 105 steps per min CG Rehabilitative course: (climatotherapy, hardening, physical exercises, massage) Physical activity: Physical activity level (Ruffier test)Physical fitness:-Abdominal muscle strength: time of holding the legs-Back muscle strength: time holding the torsoLung function: spirometry and peak fluorometric indices (FEV1, Stange test)NWG (%improvement from BL to post-intervention, p-value intragroup)↓Ruffier test (units) –43.0 ± 6.0; p > 0.05↑Abdominal muscle strength (s) +42.3 ± 7.0; p < 0.05↑Back muscle strength (s) +29.4 ± 9.1; p < 0.05↑FEV1 +6.6 ± 1.2; p < 0.05↑Stange test (s) +18.8 ± 3.1; p < 0.05CG (%improvement from BL to post-intervention, p-value intragroup)↓Ruffier test (units) –33.0 ± 6.2; p > 0.05↑Abdominal muscle strength (s) +15.1 ± 7.3; p > 0.05↑Back muscle strength (s) +13.1 ± 6.6; p > 0.05↑FEV1 (l) +1.1 ± 0.5; p > 0.05↑Stange test (s) +4.5 ± 2.8; p > 0.05
Jastrzebski et al. (2015)PolandQEPatients with lung cancerNWGn = 12M/F 10/259 ± 7 yrsFEV1 66.9 ± 13.2% predCGn = 8M/F NRNR FEV1 67.5 ± 26.1% predDropout: 1 (death)NWG Delivery mode supervision: NRMean duration 7.7 wks5 times/wk NW and aerobic, every day resistance training45 min NW70% of predicted HRmax (+30 (aerobic) + 30 (resistance) OR respiratory muscles training and sclerometer if 6mwt < 200)CGNoneExercise tolerance: 6MWTDyspnoea: -mMRC-BDIQuality of life: SF-36Lung function: spirometry (FEV1, FVC)NWG (pre; post; p-value intragroup)↑6MWT (m) 527.3 ± 107.4; 563.9 ± 64.6; p = 0.252↓mMRC 1.3 ± 1.1; 0.6 ± 0.5; p = 0.047↑BDI 9.6 ± 2.3; 10.0 ± 1.5; p = 0.844SF-36:↓PCS 44.2 ± 7.6; 43.8 ± 7.3; p = 0.846↑MCS 38.0 ± 17.6; 40.3 ± 10.0; p = 1.000↑FEV1 (% pred) 66.9 ± 13.2; 78.4 ± 17.7; p = 0.016↑FVC (%) 83.0 ± 16.3; 89.6 ± 22.1; p = 0.219CG (pre; post; p-value intragroup)↑6MWT (m) 502.8 ± 105; 509.4 ± 134.3; p = 0.816↑mMRC 1.4 ± 0.9; 1.8 ± 1.3; p = 0.313↑BDI 9.6 ± 2.1; 9.6 ± 3.0; p = 0.844SF-36:↓PCS 48.5 ± 8.4; 46.9 ± 10.1; p = 0.383↓MCS 49.3 ± 10.0; 48.1 ± 10.8; p = 0.641↑FEV1 (%) 67.5 ± 26.1; 70.3 ± 26.6; p = 0.844↑FVC (%) 79.8 ± 23.1; 81.8 ± 22.3; p = 0.844
Berger et al. (2018)FranceRCTPatients with moderate obstructive sleep apnoean = 88 (excluding dropouts)M/F: 59/3763 ± 7 yrsNWGn = 43CGn = 45Dropouts: 8 (reason NR)NWG Delivery mode: NRSupervised9 mo3 days/wk (alternating 1 day each activity: aquagym, gymnastics, NW)40 minAnaerobic threshold (+10 min warm-up and + 10 min cool-down)CG Two group educational sessions on healthy diet and physical activity recommendations Exercise tolerance: CPET (peak VO2, VO2 at VT, O2 pulse)Physical activity: PPAQAnthropometry: BMI, WCNWG (pre; change post; p-value intragroup; p-value inter-group)↑peak VO2 (ml/(min kg) 23.6 ± 6.0; +2.3 ± 3.1; p < 0.001; p = 0.001↑VO2 at VT (ml/(min kg)) 18.2 ± 5.0; +1.8 ± 4.2; p < 0.01; p = 0.001PPAQ↓Time sedentary (min/day) 497 ± 220; –11 ± 131; p > 0.05; p = 0.758↓LPA (min/day) 238 ± 109; –3 ± 64; p > 0.05; p = 0.667↑MVPA (MET/min wk) 3,295 ± 2,326; +795 ± 1,841; p < 0.001; p = 0.002↑DEE (Kj/24h) 11,676 ± 2,008; +273 ± 963; p < 0.01; p = 0.047↓BMI (kg/m2) 28.5 ± 4.1; -0.1 ± 0.9; p > 0.05; p = 0.422↑WC (cm) 100.7 ± 12.6; +0.1 ± 2.9; p > 0.05; p = 0.060CG (pre; change post; p-value intragroup)↑peak VO2 (ml/(min kg) 22.8 ± 5.7; +0.3 ± 2.4; p > 0.05↓VO2 at VT (ml/(min kg)) 17.4 ± 4.1; –0.4 ± 3.6; p > 0.05↑O2 pulse (ml/bpm) 12.7 ± 3.1; +0.5 ± 1.5; p > 0.05PPAQ↓Time sedentary (min/day) 489 ± 168; –2 ± 158; p > 0.05↓LPA (min/day) 261 ± 118; –4 ± 123; p > 0.05↑MVPA (MET/min week) 2,898 ± 2,087; +79 ± 1109; p > 0.05↓DEE (Kj/24h) 11556 ± 1699; –25 ± 846; p > 0.05↑BMI (kg/m2) 28.3 ± 4.3; +0.1 ± 0.9; p > 0.05↑WC (cm) 97.9 ± 12.0; +1.4 ± 3.1; p < 0.01

Population

A total of 514 participants were included in the studies. Thirty participants abandoned the trials before finishing (5.86% of total), but this information was available in only 8 studies (42, 43, 45, 48–51, 54). Only 1 study focused on a paediatric population (53). For this reason, this study was excluded from the meta-analysis. In the studies conducted with adults, the median age of participants was 60.2 ± 8.8 years old. Three of them recruited only patients under 40 (51), 55 (50), or 60 years old (49).

Three studies included patients with COPD (49, 52, 54), 3 with asthma (46, 47, 53), 3 with lung cancer (42, 43, 50), and 2 included patients referred for lung transplantation (44, 45). The remaining studies involv-ed populations with obstructive sleep apnoea (OSA) (51) and COVID-19 (48). The baseline FEV1 ranged from 34% (45) to 76% (43).

Intervention

Ten studies implement NW as the sole intervention in the Nordic Walking group (NWG) (44–48, 50–54), while 3 incorporated NW as part of a multi-component intervention (42,43,49). These multi-component interventions combined NW with treadmill and resistance exercises (43); aerobic and resistance training, or respiratory muscle training and sclerometer (42); weight-free circuit and aerobic exercise (49). Of the 8 studies that report the delivery mode (44, 45, 47, 48, 50, 52–54), only 1 implemented NW as a group intervention (52), while the remainder conducted the intervention individually. In 7 of the 13 studies (54%), NW was conducted under complete supervision (43, 45, 47, 51–54), while in 4 it was partially supervised (44, 48–50). One study did not supervise any session (46) and another did not report this information (47). The shortest NW intervention lasted 4 weeks (46, 52), while the longest lasted 9 months (51). The frequency of sessions per week ranged from 2 to 7 (42–54), with 3 per week being the most common (44, 45, 47–49, 51, 54). The duration of an NW session varied from 15 (48) to 90 min (53).

The methods for monitoring exercise intensity varied across studies. Four studies used the percentage of maximal heart rate (HRmax) with the target intensities set at the range 60–80% (42, 45, 48, 54). Rating scales for perceived dyspnoea and fatigue were employed in 3 studies: the modified Borg scale, with a range from 3 to 5 (48, 49) and the original Borg scale, with a target range from 12 to 15 (50). Two studies measured intensity using steps per minute, ranging from 70 to 105, and from 30 to 50 respectively (52, 53). In one study, the intensity was determined by the patient’s own pace (47). The remaining studies did not report the intensity used (43, 44, 46).

Regarding the comparison arm, 4 studies compared NW with other forms of exercise: endurance and resistance training (49), calisthenic exercise (46), bicycle ergometer training (47), and general muscle exercises combined with massage (52). Two studies included an educational programme (51, 53) and the remaining 6 provided standard care (42–44, 48, 50, 54). Only 1 study did not have a comparison arm (45).

Methodological quality and risk of bias

The result of RoB 2 tool is shown in Appendix B, and risk of bias graph in Fig. 2. All the reports had an overall “high risk” result. Two studies had a “high risk” in all domains (44, 53), and another had it in 4 domains (45). All studies but the study by Berger et al. (51) had a “high risk” in domain 4 (“Measurement of the outcome”). For the inter-rater reliability for the RoB 2 tool between the 2 independent reviewers, the κ was 0.41 (95% CI 0.2–0.63). The average score for the PEDro scale was 4.61/10, which is considered “fair” methodological quality (Table II). The κ for the PEDro scale between the reviewers was 0.7 (95% CI 0.53–0.88).

Fig. 2 Risk of bias graph. (Figure not reproduced here; see the original article.)

Table II PEDro Scale
First author, yearEligibility criteriaRandom allocationConcealed allocationBaseline similarityBlind subjectsBlind therapistsBlind assessorMeasures 85% of the sampleIntention-to-treat analysisBetween-group comparisonsPoint measures and variabilityTotal*
Breyer, 2010011100010116
Jastrzebski, 2013000000010012
Jastrzebski, 2015000000010012
Rinaldo, 2017111000010116
Ochman, 2018000100000102
Cunningham, 2019011100010015
Ruban, 2019010100011015
Rutkowska, 2019111100000116
Acar, 2023011000011116
Kuzina, 2023000000000112
Yogeshwaran, 2024110000000114
Sigvagnanam, 2023110100011117
Yogeshwaran, 2024110000000114

Effect of NW

Exercise tolerance. From the 13 included studies, the 6MWT was used to evaluate exercise tolerance in 11 studies (42–50,52,54). Meta-analysis was made for 6MWT distance (Fig. 3) based on data from 7 studies (42, 43, 46, 47, 49, 50, 54). The 4 additional studies were excluded from meta-analysis due to reporting data as median and quartiles (48), providing incomplete data (44, 52), or lacking a CG (45). The overall MD was 4.41 m (95% CI –88.06–96.88) and the overall effect Z = 0.09 (p = 0.93). Heterogeneity was considered high (I2 = 94%) (Appendix C, Table C.1.). The sensitivity analysis showed a relevant difference when excluding the study by Sivagnanam et al. (47) (Appendix C, Table C.2.) (55). Excluding this study from the meta-analysis, NWG covered a significantly greater distance than the CG in the 6MWT (MD 30.29 m (95% CI 21.47–39.1) I2 = 0%), difference statistically significant (p < 0.00001) (Appendix D, Fig. D.1). Subgroup analysis was made comparing NW with no exercise intervention (Fig. 4). The NWG achieved a statistically significant increase in 6MWT distance (MD 63.96 m; 95% CI 16.22–111.69; p = 0.009), and the I2 value suggested a very low heterogeneity (I2 = 0%). The comparison between NW and other active interventions had a high heterogeneity (I2 = 98%) and a non-significant overall effect (p = 0.60). Cunningham et al. (50) was the only study to measure exercise tolerance using the 30-s chair stand test and the Upper Limb Exercise Test (UULEX). Intragroup analysis shows a significant improvement in NWG only with 30-s chair stand test. Berger et al. (51) used a cardiopulmonary exercise test and revealed a statistically significant increase in the peak oxygen consumption (peak VO2), in VO2 at ventilatory threshold and in the oxygen pulse in the NWG compared with CG.

Fig. 3 Comparison of 6 minutes walking test (6MWT) (m) between Nordic Walking (NW) and control groups (CG). CI: confidence interval; I2: heterogeneity statistic; IV: inverse variance. (Figure not reproduced here; see the original article.)

Fig 4 Comparison of 6 minutes walking test (6MWT) (m) between Nordic Walking (NW) and control groups (CG) differentiating between no exercise intervention and active intervention. CI: confidence interval; I2: heterogeneity statistic; IV: inverse variance. (Figure not reproduced here; see the original article.)

Physical activity. Physical activity was assessed in 6 studies (48–51, 53, 54), using 5 different tools: the International Physical Activity Questionnaire – Short Form (IPAQ-SF) (48, 50); daily energy expenditure (DEE) (49); the Population Physical Activity Questionnaire (51); accelerometry (54); and the Ruffier test (53). One study found NWG engaged in more moderate to vigorous physical activity and had a higher DEE (51). In another study, participants in NWG performed more intense movements, spent more time walking and standing, and less time sitting, compared with CG, after intervention and after follow-up (6 months later) (54). The remaining 4 studies did not show differences between groups (48–50, 53).

Physical fitness. The outcome was quantified in 5 studies (43, 48–50, 53), with different tools. Intergroup analysis revealed that NWG exhibited superior outcomes compared with CG only in the chair sit-and-stand test, arm curl test, and two-minute step test (48), and took fewer seconds to complete the Timed Up and Go test (43, 48). Intragroup analysis showed only an increase in abdominal and back muscle strength in NWG (53). The other studies did not reveal any significant differences between the groups (43, 48–50).

Dyspnoea. Dyspnoea was assessed in 5 studies (42–44, 47, 48). Four studies used the modified Medical Research Council scale (mMRC) (42–44, 48), 3 employed the Baseline Dyspnoea Index (BDI) (42–44), and 2 the modified Borg scale (43, 47). In 1 the mMRC and BDI showed better outcomes in NWG in comparison with the CG during post-intervention measurement (44). Regarding the modified Borg scale, both studies reported superior outcomes in the NWG compared with the CG in the post-intervention assessment (43, 47). Intragroup analysis showed an improvement only in NWG measured with mMRC (42, 48).

Health-related quality of life. This outcome was measured in 8 studies (42, 44, 45, 47–50, 54). The most frequently employed instrument was the Short Form-36 Health Survey (SF-36) (42, 44, 45, 50, 54); other tools included the Nottingham Health Profile (NHP) (48), the Maugeri Respiratory Failure Questionnaire (MRF26) (49), and the mini Asthma Quality of Life Questionnaire (mAQLQ) (47). When comparing the 2 groups, NWG exhibited superior outcomes in SF-36 post-intervention (44, 54) and at follow-up (54). Intragroup analysis shows an improvement in physical component summary (PCS) in NWG in 2 studies (45, 54). In the NHP only NWG improved significantly after intervention, but there was no difference between groups (48). In the mAQLQ, CG had better results than NWG (47).

Lung function. The assessment of lung function was conducted in 7 studies (42–46, 52, 53). The parameters analysed included: spirometry (42–46, 52, 53), the Stange test (52, 53), and the Genchi test (52). No significant changes were observed in any of the individual intergroup analyses. Intragroup, in 1 study both groups improved significantly FEV1 (46) while in the other 3 this improvement appeared only in NWG (42, 43, 53). Forced vital capacity (FVC) was improved in NWG in 3 other studies (43–45), and CG had a significant decrease in its value in 1 study (44). CG also decreased FEV1/FVC in 1 study (43). Ruban et al. (52) presented a significant increase in the Stange test and Genchi test in both groups, and in Kuzina et al. (53) only NWG improved in the Stange test.

Anthropometry. Two studies examined anthropometric variables (50,51). The parameters assessed were body mass index (BMI) and waist circumference, but no significant changes were reported.

Mood status. Only 2 studies assessed participants’ mood status (48, 54), using the Hospital Anxiety and Depression Scale (HADS) (54) and the Beck Depression Scale (BDS) (48). HADS revealed a significant reduction in both anxiety and depression scores in the NWG compared with the CG in post-intervention and at all follow-up measurements (54). With the BDS, no changes were seen (48).

Adherence. Rinaldo et al. (49) was the only study to measure sessions attendance between groups, and no significant differences were observed.

Adverse effects. Of the 13 studies, 6 reported not having any adverse effects (43–45, 49–51). One specified that they did not have “serious” adverse effects, but reported 2 dropouts in NWG due to exacerbations (in the CG, there were 3 dropouts, but the reasons were not reported) (54). The remaining 6 studies did not provide information on adverse effects (42, 46–48, 52, 53).

DISCUSSION

This systematic review and meta-analysis suggest that NW may be effective in improving exercise tolerance, physical activity, physical fitness, and dyspnoea, with benefits comparable to those achieved through other forms of exercise. NW was not superior to educational sessions and standard care in terms of anthropometry and adherence. Results related to HRQoL, mood status, and lung function were inconclusive.

In terms of exercise tolerance, measured with the 6MWT, NW did not demonstrate superiority over other interventions regarding distance walking (MD 4.41 m; 95% CI –88.06–96.88) with the difference not reaching statistical or clinical significance. The minimal clinically important difference (MCID) for the 6MWT is set at 26 m for individuals with asthma (56), between 25 and 35 m for patients with COPD (57), from 22 to 42 m in patients with lung cancer (58), and from 29 to 34 m for those with idiopathic pulmonary fibrosis (59). A previous systematic review by Bohannon et al. (60) established the MCID range as 14 to 30.5 m for various respiratory patient groups. The non-significant result could be related to the substantial heterogeneity across articles (I2 = 94%). Sensitivity analysis identified Sivagnanam et al. (47) as an outlier, reducing the I2 until 0% if it was not included in analysis, which may be explained by the fact that in this study CG achieved significantly better 6MWT distance results than NWG (855 m and 618 m respectively, p < 0.001). One potential explanation for the CG’s superior outcomes may be the type and intensity of exercise prescribed: the CG trained on a cycle ergometer at 75% of their HRmax, while the NWG performed NW at a self-selected pace, without specific intensity guidance (47). This lack of guidance probably led the NWG to exercise at lower intensity than the CG, even potentially below recommended levels for individuals with respiratory diseases (55). Excluding this study from the meta-analysis, the NWG covered a significantly greater distance than the CG in the 6MWT. Furthermore, the difference in 6MWT distance achieved by the NWG compared with the CG would be sufficiently large to be considered clinically meaningful. The benefits of exercise are well established, as is the dose–response relationship, with greater benefits observed as the dosage of exercise increases in terms of intensity, frequency, and duration (61).

Given the overall meta-analysis result, which show-ed a non-significant difference between interventions – probably influenced by the Sivagnanam et al. (47) study – a subgroup meta-analysis was conducted. This analysis was based on the type of CG intervention (no exercise intervention vs active intervention). When comparing NW with no exercise intervention, the NWG achieved a statistically significant increase in 6MWT distance (MD 63.96 m; 95% CI 16.22–111.69; p = 0.009), with no heterogeneity (I2 = 0%). However, when NW was compared with other active interventions, the high heterogeneity (I2 = 98%) and the non-significant overall effect (p = 0.60) prevent us from drawing conclusions regarding the relative efficacy of NW vs other exercise types. We hypothesize that NW may be superior to no exercise intervention, but does not outperform other forms of exercise (endurance, resistance, or calisthenic exercise). Additionally, in this subgroup analysis, Sivagnanam et al. (47) again appears as the dissenting article, while the remaining studies indicated that NW tends to improve 6MWT distance more than no exercise intervention (46, 49). In 1 study, exercise intensity was not reported (46), and in the other, both groups trained at the same intensity (49). We further hypothesize that for NW to yield results comparable to other forms of exercise, it must be prescribed according to general exercise recommendations (55) and individually tailored to be at least as effective as other exercise types. To determine whether NW is superior to other forms of exercise, future research should consider a 3-arm RCT comparing NW, cycle ergometer, or treadmill, and no exercise intervention, with a standardized exercise dosage (minimum of 8 weeks, 2–3 days per week, 20–60 min per session, at a minimum intensity of 60% of HRmax) (55). In terms of exercise tolerance, other variables were used: 30-s chair stand test, CPET, and UULEEX (50, 51). Future reviews may enable the inclusion of these measures in a meta-analysis.

Given the comparable benefits of Nordic Walking and other exercise interventions, clinicians should consider patient preference and accessibility when recommending an exercise modality. Notably, NW allows patients to achieve a higher exercise intensity compared with conventional walking, without a proportional increase in perceived physical exertion or fatigue (16, 17), which may be a compelling reason to recommend NW for patients with respiratory diseases.

Physical activity levels increased following the NW intervention in 2 (51, 54) out of 6 studies that measured this outcome (48–51, 53, 54), but comparisons are difficult as distinct outcomes, both subjective and objective, were used. One study focused on patients with COPD (54), while the other involved individuals with OSA (51). These findings align with those reported by the authors of this review in terms of COPD (62). Conversely, the remaining studies did not find significant evidence that NW enhances physical activity levels. However, a review by Troosters et al. (63) suggests that, although implementing strategies to increase physical activity can be challenging, improving exercise tolerance may serve as a promising first step toward achieving this goal. In this context, NW could serve as a viable intervention option.

In terms of physical fitness, 3 studies reported significant differences with NW (43, 48, 53). Notably, these 3 studies had a CG that received only standard care. The areas of improvement included leg and arm muscle strength and endurance, balance, and gait. For individuals with respiratory diseases, maintaining or enhancing physical fitness is essential, as the disease itself (55), or related factors such as hospitalizations (64), can lead to a decline in skeletal muscle mass and function. Addressing the cycle of progressive muscle dysfunction, which leads to reduced physical activity, should be a priority (65). It is also important to note that Kuzina et al. (53) measured abdominal and back muscle strength based on the duration of holding the legs and torso, respectively. This method may not be the most appropriate for assessing strength, as it measures time, which is more closely related to endurance than to muscle strength.

Two studies reported higher HRQoL in the NWG compared with the CG following the intervention (44, 54). While the study from Sivagnanam et al. (47) observed the opposite trend, as previously discussed, its findings differed from those of the other studies. There is moderate evidence suggesting that physical activity positively impacts quality of life (66). In this domain, the determining factor may be the presence of an exercise intervention, as the CG that experienced enhanced HRQoL also participated in an exercise protocol.

Regarding lung function, anthropometry, and mood status, the current evidence remains insufficient, highlighting the need for future studies to better clarify whether any benefits exist after implementing an NW programme in patients with respiratory diseases.

Adherence was only assessed in only 1 study, which found no significant differences between groups (49). The interventions for both groups were similar in structure, differing only in the type of exercise performed, which may explain this. Of 514 total participants, only 30 dropped out of the study, which means 5.86% of the total, lower than observed in other studies (67). When comparing withdrawals between groups, in those studies that reported it and specified the reference group, the rate is similar in both groups (43, 45, 49, 50, 54). These results support our belief that NW may be well accepted and well tolerated by patients with respiratory diseases. Future research should evaluate adherence rates and document dropout rates, as well as patient experience with this training modality, to provide a more comprehensive assessment of the acceptability of NW.

This is the first systematic review focused on the effects of NW in individuals with respiratory diseases. It includes a total of 13 articles, which generally exhibit low methodological quality, mainly related with missing information related to the randomization process. These low-quality results are influenced in 4 of the studies (47–50) only by domain 4 of the RoB 2 scale, “measurement of the outcome”. A randomization method and intention-to-treat analysis should be implemented by the authors to minimize the risk of bias. Meta-analysis was only feasible for exercise tolerance due to the limited number of articles and the variability in data presentation among them. Finally, in 1 of the studies, NW was only performed if the weather conditions allowed it, but they did not specify the percentage of compliance with the sessions (43). Future trials should attempt to improve the rigour of their design and reporting.

Limitations and strengths

This study has several limitations that should be acknowledged. One of the studies was translated from Russian with the tool “DEEPL-Pro”, resulting in an imperfect translation that made reading the article challenging (53). Missing data restricted the ability to conduct a meta-analysis on outcomes beyond the 6MWT. The authors of 12 studies were contacted to address these deficiencies (42–44, 46–54). Unfortunately, 8 of them did not respond to our enquiry (42–44, 48, 49, 51, 53, 54). Among the 4 who replied, only 1 provided the specific information requested (50). The other 3 either had lost their data (52), no longer had it stored (46), or did not answer all questions (47); however, they clarified some intervention details. Beyond these limitations regarding meta-analysis, the heterogeneity among the included clinical conditions poses an additional challenge to the interpretation of the findings. Differences in underlying pathophysiological mechanisms and disease progression trajectories may influence treatment responses and limit the generalizability of the pooled results. Third, we included 1 study involving mixed cancer types, half of which were lung cancer patients, to ensure all respiratory disease studies were covered. Although this could be seen as a limitation due to the absence of lung cancer-specific results, sensitivity analysis showed that excluding this study did not change the meta-analysis results. Moreover, sample sizes were small in most studies; 11 studies included 40 or fewer participants, and the remaining 2 had a total sample of 60 (53, 54). Fifth, only 1 study included children, so conclusions cannot be extrapolated to paediatric populations. Furthermore, only 2 studies included assessments after the follow-up period (49, 54), so no conclusions concerning the long-term effects could be drawn. There was also significant variability in the intervention across the included studies, hindering comparisons and leading to inconclusive results. To mitigate this, a meta-analysis was conducted through post-hoc subgroup analyses, as these analyses were not pre-specified in the PROSPERO registration (68). This implies that the results obtained from these analyses should be interpreted with caution but could help clarify new lines of future research. Next, the included NW interventions (NWG) were heterogeneous too, with variations in dosage and the combination of NW with other forms of exercise in 2 studies (43, 49). These inconsistencies further complicate the interpretation of the results and emphasize the need for standardized intervention protocols in future research. Lastly, the wide range of variables assessed across studies and the inconsistency in measurement instruments again hindered the ability to draw definitive conclusions, as few variables or instruments were consistently used.

Among the strengths, this is the first systematic review to focus on the effects of NW on individuals with respiratory diseases. The scope of this work is broad, encompassing studies on NW across various respiratory conditions, rather than limiting the review to a single disease. Additionally, quasi-experimental studies were included, the review not being restricted to RCTs. We did not apply any restrictions regarding the language in which the articles were written. When feasible, a meta-analysis was conducted. To enhance the depth of analysis and data interpretation, subgroup analyses were also performed.

Conclusion

NW has demonstrated benefits for patients with respiratory diseases in terms of exercise tolerance, physical activity, physical fitness, and dyspnoea, comparable to other forms of exercise. However, no differences were observed between interventions regarding HRQoL, lung function, anthropometry, mood status, or adherence. The positive outcomes seem to be more closely linked to the general benefits of exercise rather than NW as a specific intervention. Given the heterogeneity in the data and measurement instruments, small sample sizes, and the high risk of bias across studies, the conclusions of this review should be interpreted with caution. Further research is needed to compare NW with other forms of exercise, ensuring equivalent exercise dosages.

Supplementary Material

ACKNOWLEDGEMENTS

Data collection forms, data extracted, data used for analysis and other materials can be requested from the corresponding author.

Footnotes

REFERENCES

Associated Data

Supplementary Materials

References

  1. Abbafati C, Abbas KM, Abbasi M, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396: 1204–1222. 10.1016/S0140-6736(20)30925-9
  2. Fugazzaro S, Contri A, Esseroukh O, Kaleci S, Croci S, Massari M, et al. Rehabilitation interventions for post-acute COVID-19 syndrome: a systematic review. Int J Environ Res Public Health 2022; 19: 5185. 10.3390/ijerph19095185
  3. Dowman L, Hill CJ, May A, Holland AE. Pulmonary rehabilitation for interstitial lung disease. Cochrane Database Syst Rev 2021; 2: CD006322. 10.1002/14651858.CD006322.pub4
  4. Hansen ESH, Pitzner-Fabricius A, Toennesen LL, Rasmusen HK, Hostrup M, Hellsten Y, et al. Effect of aerobic exercise training on asthma in adults: a systematic review and meta-analysis. Eur Respir J 2020; 56: 2000146. 10.1183/13993003.00146-2020
  5. Radtke T, Smith S, Nevitt SJ, Hebestreit H, Kriemler S. Physical activity and exercise training in cystic fibrosis. Cochrane Database Syst Rev 2022; 8: CD002768. 10.1002/14651858.CD002768.pub5
  6. Hume E, Ward L, Wilkinson M, Manifield J, Clark S, Vogiatzis I. Exercise training for lung transplant candidates and recipients: a systematic review. Eur Respir Rev 2020; 29: 200053. 10.1183/16000617.0053-2020
  7. Peddle-McIntyre CJ, Singh F, Thomas R, Newton RU, Galvao DA, Cavalheri V. Exercise training for advanced lung cancer. Cochrane Database Syst Rev 2019; 2: CD012685. 10.1002/14651858.CD012685.pub2
  8. Adolfo JR, Dhein W, Sbruzzi G. Intensity of physical exercise and its effect on functional capacity in COPD: systematic review and meta-analysis. J Bras Pneumol 2019; 45: e20180011. 10.1590/1806-3713/e20180011
  9. Spruit MA, Singh SJ, Garvey C, ZuWallack R, Nici L, Rochester C, et al. An official American Thoracic Society/European Respiratory Society statement: Key concepts and advances in pulmonary rehabilitation. Am J Respir Crit Care Med 2013; 188: e13–64. 10.1164/rccm.201309-1634ST
  10. Troosters T, Janssens W, Demeyer H, Rabinovich RA. Pulmonary rehabilitation and physical interventions. Eur Respir Rev 2023; 32: 220222. 10.1183/16000617.0222-2022
  11. Freitas PD, Passos NFP, Carvalho-Pinto RM, Martins MA, Cavalheri V, Hill K, et al. A behavior change intervention aimed at increasing physical activity improves clinical control in adults with asthma: a randomized controlled trial. Chest 2021; 159: 46–57. 10.1016/j.chest.2020.08.2113
  12. Eichenberger PA, Diener SN, Kofmehl R, Spengler CM. Effects of exercise training on airway hyperreactivity in asthma: a systematic review and meta-analysis. Sport Med 2013; 43: 1157–1170. 10.1007/s40279-013-0077-2
  13. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 2011; 43: 1334–1359. 10.1249/MSS.0b013e318213fefb
  14. Xiang X, Huang L, Fang Y, Cai S, Zhang M. Physical activity and chronic obstructive pulmonary disease: a scoping review. BMC Pulm Med 2022; 22: 301. 10.1186/s12890-022-02099-4
  15. International Nordic Walking Association . What is Nordic Walking (Internet). Finlandia: INWA; (cited 2025 Jul 31). Available from: https://www.inwa-nordicwalking.com/nordicwalking
  16. Church TS, Earnest CP, Morss GM. Field testing of physiological responses associated with Nordic walking. Res Q Exerc Sport 2002; 73: 296–300. 10.1080/02701367.2002.10609023
  17. Pellegrini B, Boccia G, Zoppirolli C, Rosa R, Stella F, Bortolan L, et al. Muscular and metabolic responses to different Nordic walking techniques, when style matters. PLoS One 2018; 13: e0195438. 10.1371/journal.pone.0195438
  18. Roy M, Grattard V, Dinet C, Soares AV, Decavel P, Sagawa YJ. Nordic walking influence on biomechanical parameters: a systematic review. Eur J Phys Rehabil Med 2020; 56: 607–615. 10.23736/S1973-9087.20.06175-4
  19. Gobbo S, Bullo V, Roma E, Duregon F, Bocalini DS, Rica RL, 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. 10.3390/jfmk4020036
  20. Trabka B, Zubrzycki IZ, Ossowski Z, Bojke O, Clarke A, Wiacek M, et al. Effect of a MAST exercise program on anthropometric parameters, physical fitness, and serum lipid levels in obese postmenopausal women. J Hum Kinet 2014; 42: 149–155. 10.2478/hukin-2014-0069
  21. 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. 10.5114/fmpcr.2017.67870
  22. Kocur P, Deskur-Śmielecka E, Wilk M, Dylewicz P. Effects of Nordic Walking training on exercise capacity and fitness in men participating in early, short-term inpatient cardiac rehabilitation after an acute coronary syndrome: a controlled trial. Clin Rehabil 2009; 23: 995–1004. 10.1177/0269215509337464
  23. Keast ML, D’Angelo MES, Nelson CRM, Turcotte SE, McDonnell LA, Nadler RE, et al. Randomized trial of Nordic walking in patients with moderate to severe heart failure. Can J Cardiol 2013; 29: 1470–1476. 10.1016/j.cjca.2013.03.008
  24. Piotrowicz E, Zieliłski T, Bodalski R, Rywik T, Dobraszkiewicz-Wasilewska B, Sobieszczałska-Małek M, et al. Home-based telemonitored Nordic walking training is well accepted, safe, effective and has high adherence among heart failure patients, including those with cardiovascular implantable electronic devices: a randomised controlled study. Eur J Prev Cardiol 2015; 22: 1368–1377. 10.1177/2047487314551537
  25. Shin JH, Kim CB, Choi JD. Effects of trunk rotation induced treadmill gait training on gait of stroke patients: a randomized controlled trial. J Phys Ther Sci 2015; 27: 1215–1217. 10.1589/jpts.27.1215
  26. Kang TW, Lee JH, Cynn HS. Six-week Nordic treadmill training compared with treadmill training on balance, gait, and activities of daily living for stroke patients: a randomized controlled trial. J Stroke Cerebrovasc Dis 2016; 25: 848–856. 10.1016/j.jstrokecerebrovasdis.2015.11.037
  27. Reuter I, Mehnert S, Leone P, Kaps M, Oechsner M, Engelhardt M. Effects of a flexibility and relaxation programme, walking, and Nordic walking on Parkinson’s disease. J Aging Res 2011; 2011: 232473. 10.4061/2011/232473
  28. Wroblewska A, Gajos A, Smyczynska U, Bogucki A. The therapeutic effect of Nordic walking on freezing of gait in Parkinson’s disease: a pilot study. Parkinsons Dis 2019; 2019: 3846279. 10.1155/2019/3846279
  29. Bang DH, Shin WS. Effects of an intensive Nordic walking intervention on the balance function and walking ability of individuals with Parkinson’s disease: a randomized controlled pilot trial. Aging Clin Exp Res 2017; 29: 993–999. 10.1007/s40520-016-0648-9
  30. Passos-Monteiro E, Schuch FB, Franzoni LT, Carvalho AR, Gomeñuka NA, Becker M, et al. Nordic Walking and free walking improve the quality of life, cognitive function, and depressive symptoms in individuals with Parkinson’s disease: a randomized clinical trial. J Funct Morphol Kinesiol 2020; 5: 82. 10.3390/jfmk5040082
  31. Cugusi L, Manca A, Dragone D, Deriu F, Solla P, Secci C, et al. Nordic Walking for the management of people with Parkinson disease: a systematic review. PM R 2017; 9: 1157–1166. 10.1016/j.pmrj.2017.06.021
  32. Cugusi L, Manca A, Yeo TJ, Bassareo PP, Mercuro G, Kaski JC. 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. 10.1177/2047487317738592
  33. Bombieri F, Schena F, Pellegrini B, Barone P, Tinazzi M, Erro R. Walking on four limbs: a systematic review of Nordic Walking in Parkinson disease. Parkinsonism Relat Disord 2017; 38: 8–12. 10.1016/j.parkreldis.2017.02.004
  34. Sánchez-Lastra MA, Torres J, Martínez-Lemos I, Ayán C. Nordic walking for women with breast cancer: a systematic review. Eur J Cancer Care (Engl) 2019; 28: e13130. 10.1111/ecc.13130
  35. Bullo V, Gobbo S, Vendramin B, Duregon F, Cugusi L, Di Blasio A, et al. 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. 10.1089/rej.2017.1921
  36. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372: n71. 10.1136/bmj.n71
  37. Weill Cornell Medicine, The University of North Carolina at Chapel Hill, University of Ottawa , The Society for Healthcare Epidemiology of America. The World’s #1 Systematic Review Tool (Internet). Available from: https://www.covidence.org/
  38. Landis JR, Koch GG. The measurement of observer agreement for categorical Data. Biometrics 1977; 33: 159–174. 10.2307/2529310
  39. Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019; 366: l4898. 10.1136/bmj.l4898
  40. Cashin AG, McAuley JH. Clinimetrics: Physiotherapy Evidence Database (PEDro) Scale. J Physiother 2020; 66: 59. 10.1016/j.jphys.2019.08.00
  41. Higgins J, Thompson S, Deeks J, Altman D. Measuring inconsistency in meta-analysis. BMJ 2003; 327: 557–560. 10.1136/bmj.327.7414.55
  42. Jastrzebski D, Maksymiak M, Kostorz S, Bezubka B, Osmanska I, Mlynczak T, et al. Pulmonary rehabilitation in advanced lung cancer patients during chemotherapy. Adv Exp Med Biol 2015; 861: 57–64. 10.1007/5584_2015_134
  43. Rutkowska A, Jastrzebski D, Rutkowski S, Zebrowska A, Stanula A, Szczegielniak J, et al. Exercise training in patients with non-small cell lung cancer during in-hospital chemotherapy treatment: a randomized controlled trial. J Cardiopulm Rehabil Prev 2019; 39: 127–133. 10.1097/HCR.0000000000000410
  44. Ochman M, Maruszewski M, Latos M, Jastrzębski D, Wojarski J, Karolak W, et al. Nordic Walking in pulmonary rehabilitation of patients referred for lung transplantation. Transplant Proc 2018; 50: 2059–2063. 10.1016/j.transproceed.2018.02.106
  45. Jastrzebski D, Ochman M, Ziora D, Labus L, Kowalski K, Wyrwol J, et al. Pulmonary rehabilitation in patients referred for lung transplantation. Adv Exp Med Biol 2013; 755: 19–25. 10.1007/978-94-007-4546-9_3
  46. Yogeshwaran L, Rekha K, Saravan Kumar J, Preethi G, Kabilan R, Muthu Lakshmi T. Effects of the Pole Striding Intervention Program on cardiovascular fitness among bronchial asthma patients. Indian J Physiother Occup Ther 2024; 18: 208–213. 10.37506/kke8bj63
  47. Sivagnanam R, Krishnan R, Ramamoorthy J, Karthikeyan S, Sankaranarayanan S, Kumar G, et al. Effect of bicycle ergometer training and Nordic walking training on improving functional exercise capacity in asthma patients. Cureus 2023; 15: e49762. 10.7759/cureus.49762
  48. Acar M, Öztürk D, Doğan KN, Ada İ, Demirer DN. Nordic Walking – the effectiveness of a new form of exercise in adults after COVID-19 infection: a randomized controlled trial. Int J Disabil Sport Heal Sci 2023; 6: 181–192. 10.33438/ijdshs.1262512
  49. Rinaldo N, Bacchi E, Coratella G, Vitali F, Milanese C, Rossi A, et al. Effects of combined aerobic-strength training vs fitness education program in COPD patients. Int J Sports Med 2017; 38: 1001–1008. 10.1055/s-0043-112339
  50. Cunningham E, Weaver RR, Lemonde M, Dogra S, Nonoyama ML. Nordic Pole Walking for individuals with cancer: a feasibility randomized controlled trial assessing physical function and health-related quality of life. Rehabil Oncol 2020; 38: 81–91. 10.1097/01.reo.0000000000000204
  51. Berger M, Barthélémy JC, Hupin D, Raffin J, Dupré C, Labeix P, et al. Benefits of supervised community physical activity in obstructive sleep apnoea. Eur Respir J 2018; 52: 1801592. 10.1183/13993003.01592-2018
  52. Ruban L, Kochuieva M, Rohozhyn A, Kochuiev G, Tymchenko H, Samburg Y. Complex physical rehabilitation of patients with chronic obstructive pulmonary disease at a polyclinic stage of treatment. Physiother Quart 2019; 27: 11–16. 10.5114/pq.2019.84268
  53. Kuzina EN, Spivak EM, Nezhkina NN. Personification of Nordic Walking course in children with bronchial asthma depending on physical health level and disease control. Permsk Med Z 2020; 37: 48–53. 10.17816/pmj37648-53
  54. Breyer MK, Breyer-Kohansal R, Funk GC, Dornhofer N, Spruit MA, Wouters EFM, et al. Nordic Walking improves daily physical activities in COPD: a randomised controlled trial. Respir Res 2010; 11: 112. 10.1186/1465-9921-11-112
  55. Maltais F, Decramer M, Casaburi R, Barreiro E, Burelle Y, Debigaŕe R, et al. An official American Thoracic Society/European Respiratory Society statement: Update on limb muscle dysfunction in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2014; 189: e15–62. 10.1164/rccm.201402-0373ST
  56. Zampogna E, Ambrosino N, Centis R, Cherubino F, Migliori G, Pignatti P, et al. Minimal clinically important difference of the 6-min walking test in patients with asthma. Int J Tuberc Lung Dis 2021; 24: 215–221. 10.5588/ijtld.20.0928
  57. Holland AE, Nici L. The return of the minimum clinically important difference for 6-minute-walk distance in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2013; 187: 335–336. 10.1164/rccm.201212-2191ED
  58. Granger CL, Holland AE, Gordon IR, Denehy L. Minimal important difference of the 6-minute walk distance in lung cancer. Chron Respir Dis 2015; 12: 146–154. 10.1177/1479972315575715
  59. Holland AE, Hill CJ, Conron M, Munro P, McDonald CF. Small changes in six-minute walk distance are important in diffuse parenchymal lung disease. Respir Med 2009; 103: 1430–1435. 10.1016/j.rmed.2009.04.024
  60. Bohannon RW, Crouch R. Minimal clinically important difference for change in 6-minute walk test distance of adults with pathology: a systematic review. J Eval Clin Pract 2017; 23: 377–381. 10.1111/jep.12629
  61. World Health Organization . Global recommendations on physical activity for health. Geneva: World Health Organization (Internet). 2010. [cited 2025 Jul 31]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK305060/
  62. Burge AT, Cox NS, Abramson MJ, Holland AE. Interventions for promoting physical activity in people with chronic obstructive pulmonary disease (COPD). Cochrane Database Syst Rev 2020; 4: CD012626. 10.1002/14651858.CD012626.pub2
  63. Troosters T, Blondeel A, Rodrigues FM, Janssens W, Demeyer H. Strategies to increase physical activity in chronic respiratory diseases. Clin Chest Med 2019; 40: 397–404. 10.1016/j.ccm.2019.02.017
  64. Cruz-Jentoft AJ, Landi F, Schneider SM, Zúñiga C, Arai H, Boirie Y, et al. Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age Ageing 2014; 43: 748–759. 10.1093/ageing/afu115
  65. Barreiro E, Sznajder JI, Nader GA, Budinger GRS. Muscle dysfunction in patients with lung diseases: a growing epidemic. Am J Respir Crit Care Med 2015; 191: 616–619. 10.1164/rccm.201412-2189OE
  66. Marquez DX, Aguinãga S, Vásquez PM, Conroy DE, Erickson KI, Hillman C, et al. A systematic review of physical activity and quality of life and well-being. Transl Behav Med 2020; 10: 1098–1109. 10.1093/tbm/ibz198
  67. Silva MA. Predictors of retention in physical therapy: client-, disease-, and treatment-related factors. Counselor Education and Counseling Psychology Research Exchange Conference. Milwaukee, WI: Marquette University; 2010.
  68. Vilanova-Pereira M, Barral-Fernández M, Jácome C, Lista-Paz A. Nordic walking in patients with respiratory diseases: a systematic review and meta-analysis (Internet). p. CRD42022335034. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022335034

Attribution. María VILANOVA-PEREIRA, Margarita BARRAL-FERNÁNDEZ, Noé LABATA-LEZAUN, Luis LLURDA-ALMUZARA, Albert PÉREZ-BELLMUNT, Cristina JÁCOME et al.. EFFECTS OF NORDIC WALKING IN PEOPLE WITH RESPIRATORY DISEASES: A SYSTEMATIC REVIEW AND META-ANALYSIS. Journal of Rehabilitation Medicine (2025);57:43090. doi:10.2340/jrm.v57.43090 © 2025 The Author(s) Licensed under CC BY 4.0. Reproduced from the open-access article via Europe PMC (PubMed 40947882). Text, tables and references reproduced from the open-access article; figures and images are not reproduced and no wording was changed.

About this article

Journal
Journal of Rehabilitation Medicine
Year
2025
Licence
CC BY 4.0
Source
Europe PMC
PubMed
40947882
Field
Respiratory Medicine

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Rights and removal requests · Legal · Support