ORIGINAL REPORT

ASSISTED CYCLING IN NON-AMBULANT ADULTS WITH CEREBRAL PALSY: EXPLORATORY EFFECTS AND FEASIBILITY IN RESIDENTIAL CARE

Nanna S. POULSEN, MD1 symbol, Sara FALKENBERG, BSc OT2, Noémie RECEVEUR, MD1 symbol, Sophia V. FRØLICH, MD1 symbol, Helle HÜCHE LARSEN, PhD3 symbol and John VISSING, DMSci1 symbol

From the 1Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, 2Jonstrupvang Bebyggelsen, Værløse, and 3Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark

Objective: Adults with cerebral palsy (Gross Motor Function Classification System, GMFCS, levels III–V) have severely impaired motor function, causing fatigue, pain, constipation, and sleep disturbance, reducing life quality. Whether standard exercise is feasible or beneficial in this population is unknown, as spasticity, low muscle mass, and cognitive challenges may limit participation. Unable to engage in conventional exercise, they require tailored modalities. This study investigated whether assisted cycling is feasible and could improve key symptoms.

Methods: 14 adults with cerebral palsy (GMFCS III-V) completed a 10-week control period and 10 weeks of supervised, assisted cycling (3 x 20 min/week). Assessments at baseline, post-control, and post-exercise included key symptoms, feasibility, Gross Motor Function Measure-88, and a timed 1-km cycle test (time, power output, cadence).

Results: Median attendance was 24/30 sessions. Heart rate increased during exercise (median 25.5 bpm). No significant group-level changes were observed, but individual improvements in pain, constipation, and power output were observed in some. Two participants experienced moderate adverse events affecting daily living.

Conclusion: Assisted cycling is feasible and generally well tolerated in non-ambulant adults with cerebral palsy. While no group-level effects were detected, exploratory individual improvements in symptoms and cycling performance were observed in some, supporting further research on tailored exercise.

LAY ABSTRACT

People with cerebral palsy are born with a brain injury. Those most severely affected often use a wheelchair, might not communicate with words, and can have learning difficulties. Many also experience tiredness, pain, constipation, poor sleep, and reduced life quality. Exercise might help, but many cannot perform regular exercise due to movement difficulties. In this study, 14 adults with severe cerebral palsy did a 10-week programme using an assisted exercise bike. They trained in group-based sessions for 20 min, 3 times/week, with support from staff. All completed the programme and most tolerated it well. While not everyone improved, some experienced less pain or constipation or became stronger. These findings suggest that assisted cycling can be a practical and acceptable way to support physical activity in adults with severe cerebral palsy. It may help improve comfort and physical function in daily life and could be used in residential care and rehabilitation settings.

Key words: exercise; cerebral palsy; wheelchairs; constipation; pain.

 

Citation: J Rehabil Med 2026; 58: jrm45792. DOI: https://doi.org/10.2340/jrm.v58.45792.

Copyright: © 2026 The Author(s). Published by MJS Publishing, on behalf of the Foundation for Rehabilitation Information. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Submitted: Mar 25, 2026; Accepted after revision: Aug 19, 2026; Published: Sept 22, 2026.

Correspondence address: Nanna Scharff Poulsen, Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark. E-mail: nanna.scharff.poulsen@regionh.dk

Competing interests and funding: The authors have no conflicts of interest to declare
The Elsass Foundation and Grossere LF Foghts Foundation are thanked for their economic support of the study.

 

Cerebral palsy (CP) is the most common childhood-onset physical disability, resulting from non-progressive brain injury in the perinatal period or early infancy (1). CP affects posture and motor control, and may also involve intellectual disability, epilepsy, sensory deficits, or impaired speech (1). The Gross Motor Function Classification System (GMFCS) classifies CP from level I (minimal impairment) to level V (most severe). Individuals classified as GMFCS levels III–V require part- or full-time wheelchair assistance.

People with CP commonly experience fatigue (50–60%) (2), pain (75%) (3), constipation (74%) (4), and sleep disorders (20%) (5), reducing quality of life (QoL) (6). These problems become more common with age (7) and higher GMFCS levels (8–10), leaving non-ambulant adults particularly affected.

Exercise has been shown to improve pain (11), constipation (12), and QoL (13) in non-disabled populations, suggesting similar benefits may be possible in adults with CP. However, motor control difficulties, low muscle mass, and cognitive impairments may limit participation and exercise responses. Although adults comprise approximately 80% of the CP population (6) and around 30% are non-ambulant (3), they are rarely included in research (6, 14). Consequently, only a few exercise studies in non-ambulant adults exists, mostly focusing on motor outcomes (15–18); very few have examined fatigue (19), pain (19), constipation (20), sleep (21), and QoL (22), and only in study populations with varying age and motor ability, with inconsistent findings.

Exercise modalities requiring minimal supervision may facilitate physical activity in daily life or care settings. Assisted cycle ergometers, which can support movement and compensate for low muscle mass, are promising because they allow participation with limited staff support.

This study explores whether assisted cycle exercise is feasible and can improve fatigue, lower back and leg pain, constipation, sleep quality, and QoL in non-ambulant adults with CP. We hypothesized that the intervention would be feasible and improve at least some outcomes.

MATERIAL AND METHODS

Participants

Participants were recruited from a 24-h care home in Denmark in October 2023. Inclusion criteria: age ≥ 18 years, clinical diagnosis of CP, and wheelchair use (manual or electric). Exclusion criteria: inability to use a cycle ergometer (e.g., due to contractures, inability to maintain a cycling position, or conditions preventing safe use), contraindications to exercise, ongoing psychiatric treatment (to avoid influencing QoL), > 2 h weekly exercise, inability to give informed consent, pregnancy, or inability to commit to 3 weekly sessions.

Convenience sampling was performed by care staff, followed by discussion with investigators. Written information was animated for comprehension and reviewed by caregivers. Cognitive function was not formally assessed but based on clinical observation.

Study design

This self-controlled, exploratory, non-blinded, crossover study included a 10-week control period followed by 10 weeks of assisted, supervised cycling (Fig. 1). Testing occurred at baseline (pre-tests), between periods (mid-tests), and after exercise (post-tests). Participants started both periods simultaneously and were asked not to change pre-study physical activities or therapy appointments. Information on physical activity and therapy participation was recorded at each assessment and reviewed weekly during the intervention.

Figure 1
Fig. 1. Study design. A 10-week control period was followed by a 10-week exercise period. Questionnaires, a timed 1-km assisted cycle test, and the gross motor function measure 88 was performed before the control period, between the 2 periods, and after the exercise period. Created at https://BioRender.com.

Exercise intervention

Assisted, supervised, video-supported leg cycling was performed on a cycle ergometer (THERA-Trainer Tigo [THERA-Trainer, Hochdorf, Germany], Teramed A/S, leg-configuration only) in a group-based setting, 3 times weekly for 20 min, at the care home. Three weekly sessions reflected what could realistically be integrated into participants’ schedules, while 20-min sessions were considered a pragmatic duration likely to be tolerated. If leg cycling was impossible, assisted arm cycling (MOTOmed Reck; RECK Technik, Betzenweiler, Germany) was used. Participants exercised from a wheelchair or chair, with feet strapped to the pedals; calf supports or elastic thigh straps were used when needed. Motor-assisted pedalling was set at 25 rpm; extra load was added for stronger participants. Active effort was defined as the difference between motor-assisted rpm and participant-generated rpm. Watts, kilometres (km), and kilocalories (kcal) were displayed. Participants followed 2 virtual cycling routes from BoBo Pro 2.0 (Bo&Bo Ltd, Rosh Haayin, Israel) for motivation.

Supervision: Group-based sessions included 3–7 participants; individual sessions occurred if needed. Supervision by care staff (pedagogues) and investigators (medical doctor, NSP, or occupational therapist, SF) ensured motivation, safety, and correct execution, and logged kcal and km and whether the exercise was executed as intended.

Progression: Session frequency and duration remained unchanged to maintain a predictable routine. Limited individual progression was achieved via adding load, based on observed performance and tolerance, and encouraging maximal effort, through verbal encouragement, music, and virtual cycling routes.

Monitoring: Heart rate and perceived exertion were not used to guide intensity due to low muscle mass, cognitive, and communication limitations.

Study outcomes

All tests were conducted and scored by the same rater (NSP). Outcomes reflected multiple ICF domains, including body functions (pain, fatigue, constipation), activity (motor function), and participation (QoL).

Primary exploratory outcomes: changes in fatigue, lower back and leg pain, constipation, sleep quality, and QoL. A positive exercise effect was defined as more outcomes improving than worsening, with at least 1 outcome improving.

Questionnaires were conducted through interviews due to reading and writing difficulties. Communication aids (iPads, communication boards, body language) were used when needed. Participants were asked directly with caregiver support to enhance autonomy and reduce proxy bias (25). To facilitate comprehension and participation among individuals with intellectual impairments, items from the FSS, WHOQOL-BREF, and questions 5–10 in PSQI were translated into easy-to-understand language, and Likert scales simplified and subsequently graded (questionnaires and scoring: Appendix S1). This approach was intended to support direct self-report participation and is consistent with previous studies reporting improved understanding when cognitive accessibility is enhanced (26).

Secondary outcomes: Secondary outcomes included feasibility measures, physiological and performance-based outcomes, and motor function.

Adverse events and caregiver reports

Adverse events to exercise were monitored and registered inspired by the ExHarm study (27). They were registered during each session, weekly, and at post-tests by self-reports, observations, predefined questions on muscle cramps, fatigue, delayed onset muscle soreness, and open questions.

Participants were asked at post-test if they thought exercising had been good for them and if they wanted to continue. Each participant’s caregiver completed a custom-made questionnaire consisting of 6 questions that each could be rated on a scale from 1–5. The questions assessed the caregiver’s perception of the participant’s exercise response, to cover how well changes in questionnaires and patient observations were also experienced by the caregiver.

Statistics

Sample size. Given the absence of prior data on assisted cycling in non-ambulant adults with CP using our outcomes, no formal sample size calculation was performed. A target sample size of approximately 15 participants was defined on feasibility considerations.

Descriptive statistics. Descriptive statistics were calculated in R v.4.3.2 and Rstudio v.2024.04.2 (R Foundation for Statistical Computing, Vienna, Astrial). Packages: dplyr, rstatix, tidyverse, Rmisc, ggplot2, and viridis. p < 0.05 was considered statistically significant. All analyses should be considered exploratory. Data are presented as mean and 95% CI or median and bootstrapped 95% CI. Group-level and individual effects were investigated.

For analyses of changes in patient-reported outcomes, only participants with symptoms at baseline (score > 0) were included to reduce floor effect. Participants without baseline symptoms were described separately to assess whether symptom worsening occurred during the intervention.

Changes between all time-points were analysed within each outcome domain (3 pairwise comparisons: pre-mid, mid-post, pre-post). Ordinal outcomes (constipation and fatigue) were tested with Friedman’s test; changes in other efficacy outcomes, cycle-test outcomes, and GMFM-88 were analysed with repeated measures ANOVA when assumptions were met and Friedman’s test when not met. Post hoc pairwise comparisons (pre-mid, mid-post, pre-post) were performed using paired t-test or pairwise Wilcoxon signed-rank tests as appropriate, with Hochberg correction applied within each outcome domain. Sleep was first analysed in domains with no significance found, hence only the total score is reported. Statistical significance was based on adjusted p-values within each outcome domain; unadjusted p-values are reported for transparency only. Heart rate was analysed using paired t-tests (assumptions fulfilled), whereas HR/power output was analysed using pairwise Wilcoxon signed-rank tests between mid- and post-test.

Missing data were handled by pairwise deletion. A linear mixed model using maximum likelihood showed similar results; hence the simpler tests were used due to the small sample size. Participants were included in the analysis regardless of adherence to exercise.

Ethical statement and registrations

The study followed the Helsinki Declaration of 1964. Written informed consent was obtained from all participants. Approval was granted by the Committee on Health Research Ethics of the Capital Region of Denmark (H-20075272).

The study is registered at ClinicalTrials.gov (NCT04677010).

RESULTS

Participants and time schedule

The flow of participants is illustrated in Fig. 2. Of 60 people living at or attending the care home for activities, 14 were included. Participants represented 5 care homes: 8 lived at the care home where the study took place, whereas 6 lived elsewhere but attended the care home for work and activities.

Figure 2
Fig. 2. Flow diagram. Participant flow diagram showing the numbers screened, excluded (with reasons), declined (with reasons), included, and completing the study.

All 14 included participants had quadriplegic CP, mostly spastic, with variable residual voluntary movement (characteristics are presented in Table I). They were wheelchair users (GMFCS levels III–V), sedentary, and exhibited variable communication and cognitive function, including reduced attention, concentration, multitasking, organization, and planning.

Table I. Participant characteristics at baseline
Participant characteristics at baseline n = 14
Median age, years (range) 45.5 (27–81)
Sex (M/F) 10/4
Topographic classification
 Quadriplegic spastic 12 (86%)
 Quadriplegic ataxic 2 (14%)
Gross Motor Function Classification System Level
 III 5 (36%)
 IV 6 (43%)
 V 3 (21%)
Communication Function Classification System Level
 II 4 (29%)
 III 4 (29%)
 IV 6 (43%)
Type of wheelchair
 Manual 5 (36%)
 Electric 9 (64%)
Baseline symptom prevalence
 Constipation 8 (57%)
 Leg pain 8 (57%)
 Lower back pain 3 (21%)
 Fatigue 6 (43%)
 Poor sleep quality 5 (36%)
Maximal power output during cycling
 < 5 watts 4 (29%)
 5–20 watts 6 (43%)
 > 20 watts 4 (29%)
Mid-test, median watts (range) 14.5 (2–86)
Post-test, median watts (range) 20.5 (2–90)
Maximal increase in HR during cycling (bpm)
 < 20 4 (29%)
 20–40 8 (57%)
 > 40 2 (14%)
% reached of calculated maximal HR
 50% 13 (93%)
 60% 9 (64%)
 70% 3 (21%)
Maximal HR during cycling
 Mid-test, median bpm (range) 105.5 (83–150)
 Post-test, median bpm (range) 99 (84–143)
Maximal cadence during cycling
 Mid-test, median rpm (range) 47 (25–92)
 Post-test, median rpm (range) 42.5 (25–95)
Time to finish 1 km
 Mid-test, median time in min (range) 5.0 (2.2–9.5)
 Post-test, median time in min (range) 6.4 (2.1–17.3)

One participant used arm cycling, the rest did leg cycling. The exercise programme was adjusted for 2 participants by the investigators: 1 was reduced in frequency and duration from week 7 and switched to 10 min of high-intensity interval training (HIIT, alternating 1-min passive and high-intensity intervals) from week 9 due to adverse events. Another paused exercise for weeks 6–8 due to an unrelated knee injury. Sensitivity analyses excluding both participants yielded similar results; therefore, both participants were retained in the final analyses.

Post-tests occurred within 2 weeks after intervention. All participants received physiotherapy, 1–2 sessions per week, and none reported changes in leisure-time physical activities or therapy participation during the study.

Feasibility

The participants reported high satisfaction: 12/14 participants (86%) found cycling beneficial, and 11 (79%) wanted to continue. One participant was not asked due to an oversight on the test day. Reasons for not wanting to continue were adverse events (1 participant) and lack of effects (1 participant).

Median attendance was 24/30 sessions (80%, range 17–28), with absences due to illness, leisure plans, adverse events (1 participant), or injury (1 participant). All completed the programme. Participants adhered well to the frequency and duration of exercise, but intensity varied, likely due to concentration and motor control challenges.

Most showed brief uneven pedalling, and a few intermittent pauses, especially those with lower GMFM-88 scores. Pauses happened mostly briefly a few times per exercise session but could vary up to 30 s per frequent stop. At 1 session, a participant covered only 200 m in 20 min. These issues could be eased by adjusting sitting position or reducing cognitive demands; reducing motor rpm had little or no effect. Total distance biked was 64 km (range 17–168). Caregivers rated exercise as beneficial for all but two participants (those with adverse events).

Effect of exercise on pain, constipation, fatigue, sleep, and quality of life

Baseline symptom prevalence is indicated in Table I.

Sample size varied across analyses of exploratory patient-reported outcomes. Participants without baseline symptoms were not included in analyses of change. Additional exclusions were made because of initiation of medical treatment for constipation (n = 2), absence of pain perception (n = 1, excluded from pain analyses), or arm cycling (n = 1, excluded from leg pain analysis). In addition, 5 isolated questionnaire assessments were missing (constipation n = 1; sleep n = 2; fatigue n = 1, QoL n = 1).

Participants without baseline symptoms were analysed descriptively to assess potential worsening; only two showed slight increases in pain or constipation scores.

Leg pain and constipation scores were reduced from pre- to post-test, but not from mid- to post-test (Fig. 3A and C; Table SII). Pain-related improvement was supported by reduced analgesic use in 2 participants and caregiver observations. Constipation scores improved in 6 of the 9 analysed participants, with fewer participants meeting diagnostic criteria after the intervention (3 vs 6).

Figure 3
Fig. 3. Effects of assisted cycle exercise on efficacy outcomes. Individual participant trajectories with overlaid violin- and boxplots illustrate changes with assisted cycle exercise. The control period is between pre- and mid-test, the exercise period between mid- and post-test. Changes are shown for (A) pain in legs (n = 7), (B) pain in lower back (shown as a spaghetti plot, n = 14), (C) constipation (n = 9), (D) fatigue (n = 13), (E) quality of life (n = 14), and (F) sleep quality (n = 13). Significant differences are shown with adjusted p-values; 95% confidence intervals and p-values for all comparisons, including non-significant comparisons, are presented in Table SII. Subdomains of QOL are labelled as D1–D4: D1: physical health, D2: psychological health, D3: social relationships, and D4: environment. Asterisks (*) indicate statistically significant differences (adjusted p<0.05).

Lower back pain was not statistically analysed due to limited sample size (n = 3), although all participants showed lower scores after the intervention (Fig. 3B).

No statistically significant differences were observed in fatigue scores, sleep quality scores, or QoL scores after correction for multiple testing (Fig. 3D–F; Table SII).

Effect of exercise on motor function

Changes in outcomes from the cycle test were analysed with and without the 2 participants with many adverse events (the 2 strongest participants in Fig. 4A). Conclusions were unchanged; therefore, results are presented including all participants.

Figure 4
Fig. 4. Effects of assisted cycle exercise on motor function and heart rate per watt. The individual participants’ trajectories with overlaid violin- and boxplots illustrate changes with assisted cycle exercise in (A) maximum power output (n = 14), (B) time to bike 1 km (n = 14), (C) maximum cadence (n = 14), (D) Gross Motor Function measure 88 Dimension A (n = 14), and (E) Gross Motor Function measure 88 Dimension B (n = 14). The control period is between pre- and mid-test, the exercise period between mid- and post-test. HR was not measured at pre-test. Heart rate per power output is shown in (F) with individual data points and regression lines for mid- and post-test; used for descriptive purposes only (n = 12). Bpm: beats per minute; GMFM-88: gross motor function measure 88 HR: heart rate; rpm: revolutions per minute.

No significant changes were observed in maximal power output (see Fig. 4A; Table SII). Despite this, individual responses varied, with half of the participants showing increases in power output, including marked improvements in a subset of participants. The largest improvements were observed primarily among participants classified as GMFCS level III, although a few participants classified as GMFCS level IV also improved.

No changes were observed in time to complete 1 km, maximal cadence, or GMFM-88 dimension A (Fig. 4B–E; Table SII). The estimate of GMFM-88 dimension B indicated a small decrease, although the confidence interval included zero. GMFM-88 dimensions C, D, and E were completed by 6, 3, and 2 participants, respectively, and were therefore not analysed statistically. Scores in these dimensions remained largely unchanged at the individual level.

Cardiovascular response to exercise

HR increased during a cycle test in all participants (median mid-test increase: 25.5 bpm, range: 10–91). Most (93%) reached ≥ 50% of estimated maximal HR but only a few (21%) reached ≥ 70%.

There was no statistically significant difference in HR/power output from mid- to post-test (see Table SII), although bootstrap confidence intervals did not include zero. Likewise, the regression line appeared lower at post-test (Fig. 4F), but this visual trend was descriptive only and not formally tested.

Adverse events

Most events were mild, transient, and frequency decreased during the intervention (delayed-onset muscle soreness, fatigue, cramps, Table II). Fatigue was generally mild, but 2 participants experienced moderate fatigue; symptoms resolved in 1 but persisted in the other.

Table II. Adverse events
Event Participants (of 14)
n (%)
Severity Impact on intervention Duration
Delayed onset muscle soreness 9 (64) Mild None First few days after exercise; frequency reduces for 8, but starts at the end of the exercise period for 1 (doing arm cycle exercise)
Fatigue 9 (64) Mild for 7, moderate for 2 None for 8, change in exercise time and intensity for 1 Until next day; frequency reduces during the exercise period for 8, but for 1 remains unchanged until change to interval training
Muscle cramps 5 (36) Mild–moderate None Few minutes; mainly at beginning of exercise period
Wound 2 (14) Mild–moderate Foam attachments to the cycle steering for 1, changes in seat position for 1 A few days until healing
Mood fluctuations 1 (7) Mild–moderate None Worst on exercise days, lasting throughout all 10 weeks
Decreased stability during transfers 1 (7) Mild–moderate None Shortly after exercise

Two unexpected adverse events occurred: 1 knee abrasion from friction from the chair while biking, and 1 participant with uncontrolled movements injured his hand on the steering. Both resolved by adjustments.

DISCUSSION

This exploratory study indicates that assisted, group-based cycling was feasible and well tolerated for most non-ambulant adults with CP. Participants reported high satisfaction, demonstrated a cardiovascular response to exercise, and some showed exploratory, hypothesis-generating, individual improvements in pain, constipation, and power output.

Effects of assisted cycle exercise

Non-ambulant adults with CP frequently experience pain, constipation, fatigue, sleep disturbances, and reduced QoL, partly due to sedentary lifestyles, reduced circulation, and impaired bowel motility. Although no group-level effects were detected, several participants experienced lower pain and constipation scores following the intervention. These were supported by self-reports, caregiver observations, and reduced pain medication. Such findings align with prior recommendations for multimodal pain assessment in individuals with cognitive impairments (28). One previous study reported increased proximal lower limb pain following longer (1-h), strength-based sessions (19), suggesting that the shorter, assisted cycling intervention in our study may mitigate such adverse events.

The lack of group-level effects is likely multifactorial. First, heterogeneity in motor function, cognitive abilities, and comorbidities may influence responsiveness to exercise. Second, our sample size limits statistical power. Third, ceiling effects may have reduced sensitivity, particularly for QoL, where participants’ scores were comparable or even exceeding Danish population norms (29). Similar challenges in detecting QoL changes have been reported in exercise studies with ambulant people with CP, and likely reflect a combination of participant heterogeneity, intervention variability, short durations, small samples, and questionnaire limitations (30, 31). Finally, while most exercise studies in individuals with CP classified as GMFCS levels I–III last 6–12 weeks, longer interventions might be necessary for adults at GMFCS levels III–V due to lower motor performance, slower motor learning, and higher prevalence of intellectual impairments.

Sleep and fatigue did not change, unlike prior positive group or individual findings in ambulatory and non-ambulatory individuals with CP (19, 21). Factors such as questionnaire design, participant characteristics, and external influences likely contributed to the lacking effect in our study. Further, sleep and fatigue are multifactorial, influenced by care routines, noise, medication side effects, and emotional stress, and might require multimodal interventions.

Cardiovascular and physical outcomes

All participants increased HR during exercise, with most reaching levels consistent with moderate cardiovascular effort – a notable increase from a sedentary baseline, likely beneficial for cardiovascular health (32).

Although no significant group-level improvements were observed in power output, half of the participants improved, with 3 nearly doubling their output, suggesting strength gains. Participants with higher motor function responded better, likely reflecting their ability to generate higher exercise intensity. Concentration and motor challenges might have limited performance in some individuals, contributing to response variability. These observations highlight the importance of individualized assessment and the limitations of timed maximal exercise tests in this population, where maintaining focus and consistent effort can be challenging.

No significant change occurred in GMFM-88 scores. Previous studies reporting improvements often involved younger participants, different intervention types, or broader GMFCS ranges (15–18).

Exercise challenges

While most participants enjoyed the exercise, uneven pedalling and adverse events were noted.

Uneven pedalling occurred in some participants, with a few having occasional pauses in rotation, sometimes limiting distance covered. This was more pronounced in individuals with lower motor function and might be explained by several mechanisms:

  1. Motor performance and learning rely on motor control, cognition, and visual and proprioceptive feedback. Cerebral injury, muscle atrophy, altered sensory inputs, and visual impairments reduce performance and complicate learning. Cognitive-motor multitasking can be difficult, especially for individuals with CP (33), worsening pedalling consistency. This could explain the uneven cycling and worsening issues under higher cognitive demands. With practice, motor performance will likely improve, but the learning process might be slow or variable.
  2. Muscle contractures, passive stiffness, and corrective surgeries (e.g., tendon elongations) likely alter the muscle force–length relation, reducing force generation near joint extremes (34). This might explain why uneven pedalling often occurred on leg extension and why slight position changes could sometimes improve performance.
  3. Involuntary sustained or intermittent contractions like spasticity, spastic dystonia, and dystonia are common in adults with CP (35). The prevalence increases with lower motor function (35) and symptoms worsen with focused attention to the movement (36).This might explain the sudden pedalling pauses and the worsening when attention was drawn to it. Studies suggest that exercise does not worsen spasticity and may improve functional outcomes over time (15, 37).

Adverse events were mostly mild and resolved with continued exercise, although 2 out of 14 participants experienced moderate fatigue affecting daily life. Both maintained relatively high pedalling speeds, and 1 displayed involuntary movements that may have increased energy expenditure. While these events highlight that assisted cycling may not be equally tolerated by all individuals with severe CP, they should be considered alongside the high adherence, participant satisfaction, and absence of severe adverse events observed in this study.

Overall, assisted cycling was well tolerated for most participants despite occasional pauses in rotation and 2 moderate fatigue-related adverse events. Therefore, the potential benefits of assisted cycling should be balanced against the risk of fatigue and variable exercise performance. Careful monitoring, individualized progression, and adjustments such as breaks, positional changes, variable intensity, and close supervision appeared important for supporting tolerability and participation. Such adaptations may be particularly important for individuals classified as GMFCS level V, who frequently experienced pauses in rotation, and for those with involuntary movements or higher power output, who may have higher energy demands.

Questionnaires for individuals with intellectual impairments

Patient-reported outcomes in adults with CP and intellectual impairments are often completed by caregivers or proxies (28, 38). However, direct engagement enhances participants’ sense of being heard and respected (38) and reduces systematic bias or mismatch between the caregiver’s perception and the participant’s experience (25). Consequently, developing and using questionnaires adapted for individuals with intellectual impairments is important, and such tools are slowly emerging, particularly in pain assessment (28, 39).

In this study, all participants were able to contribute to patient-reported outcome measures when supported by caregiver support and guided interview techniques. For 1 participant with more severe intellectual impairment, responses could not be reliably graded, and a simplified yes/no/unknown format was used for fatigue and QoL. Although these measures were not formally validated, the findings suggest that direct self-report may be feasible in this cohort when appropriate support is provided.

Based on this experience, questionnaire administration in this population may benefit from simplified language, concrete examples, a focus on present experiences, repeated measures over time, and systematic checking of understanding during completion.

These observations demonstrate both the challenges and the potential of involving adults with CP and intellectual impairments in self-reported outcome assessments. Future work should focus on developing and validating accessible outcome measures for adults with CP and intellectual impairments.

Limitations

Investigating adults with severe motor and cognitive impairments presents inherent challenges. The small sample size and clinical heterogeneity of CP, including the wide age range (27–81 years), variability in motor control, and cognitive function, reflect real-world characteristics of non-ambulant adults with CP, but limit statistical power and generalizability. This heterogeneity may have contributed to variable exercise responses.

Another limitation relates to the assessment of patient-reported outcomes. The questionnaires were not validated in adults with severe CP and intellectual impairments, and the FSS and WHOQOL-BREF were adapted into easy-to-understand language. Although considered necessary to facilitate participation, these adaptations have not undergone formal validation. Consequently, self-reported outcomes should be interpreted with caution and regarded as exploratory.

Finally, several methodological limitations should be acknowledged. Outcome assessors were not blinded to the intervention, introducing a risk of detection bias. Convenience sampling might have caused selection bias. Group-based training, chosen for logistical reasons, may have additionally supported mood and energy through social interaction.

Conclusion

This exploratory study indicates that assisted group-based cycling is feasible and generally well tolerated in non-ambulant adults with CP, although a few experienced moderate fatigue. With tailored adjustments and supervision, assisted cycling may be feasible to implement in residential or rehabilitation settings. While no consistent group-level effects were observed, some participants showed improvements in pain, constipation, and cycling power. These findings are hypothesis-generating and support further investigation of individualized exercise interventions to optimize effectiveness, minimize adverse events, and tailor exercise to participants’ functional and cognitive abilities.

ACKNOWLEDGEMENTS

The authors would like to thank the staff at Jonstrupvang for their support during testing and training, Diana Forup Hallkvist for coordination and assistance, headmaster Kim Norup Frederiksen for facilitating the study site, and Tanja Taivasallo for sharing a questionnaire that formed the basis of the caregiver questionnaire.

Clinical trial registry: The study was registered at ClinicalTrials.gov (Identifier: NCT04677010; www.clinicaltrials.gov/study/NCT04677010).

Data sharing: The data can be shared upon reasonable request to the corresponding author.

Artificial intelligence: ChatGPT (OpenAI) was used for text shortening and improving readability but not for creating any intellectual content. Suggestions are reviewed and edited carefully, and the authors take full responsibility for the content.

REFERENCES

  1. Vitrikas K, Dalton H, Breish D. Cerebral palsy: an overview. Am Fam Physician 2020; 101: 213–220.
  2. Puce L, Pallecchi I, Chamari K, Marinelli L, Innocenti T, Pedrini R, et al. Systematic review of fatigue in individuals with cerebral palsy. Front Hum Neurosci 2021; 15: 598800. https://doi.org/10.3389/fnhum.2021.598800
  3. Novak I, Hines M, Goldsmith S, Barclay R. Clinical prognostic messages from a systematic review on cerebral palsy. Pediatrics 2012; 130: e1285–e1312. https://doi.org/10.1542/peds.2012-0924
  4. Del Giudice E, Staiano A, Capano G, Romano A, Florimonte L, Miele E, et al. Gastrointestinal manifestations in children with cerebral palsy. Brain Dev 1999; 21: 307–311. https://doi.org/10.1016/s0387-7604(99)00025-x
  5. Newman CJ, O’Regan M, Hensey O. Sleep disorders in children with cerebral palsy. Dev Med Child Neurol 2006; 48: 564–568. https://doi.org/10.1017/S0012162206001198
  6. Clark J, Sarmiento C, Sanders J, Wang L, Fetsko L, Akamagwuna U. Navigating the complex care landscape: addressing challenges and advancing adult care frameworks for individuals with cerebral palsy. Health Care Transit 2024; 2: 100051. https://doi.org/10.1016/j.hctj.2024.100051
  7. Bell BG, Shah S, Coulson N, McLaughlin J, Logan P, Luke R, et al. The impact of ageing on adults with cerebral palsy: the results of a national online survey. BJGP Open 7(4): BJGPO.2023.0028. https://doi.org/10.3399/BJGPO.2023.0028
  8. Hulst RY, Gorter JW, Voorman JM, Kolk E, Vossen SVD, Visser-Meily JMA, et al. Sleep problems in children with cerebral palsy and their parents. Dev Med Child Neurol 2021; 63: 1344. https://doi.org/10.1111/dmcn.14920
  9. Veugelers R, Benninga MA, Calis EA, Willemsen SP, Evenhuis H, Tibboel D, et al. Prevalence and clinical presentation of constipation in children with severe generalized cerebral palsy. Dev Med Child Neurol 2010; 52: e216–e221. https://doi.org/10.1111/j.1469-8749.2010.03701.x
  10. Jacobson DNO, Löwing K, Tedroff K. Health-related quality of life, pain, and fatigue in young adults with cerebral palsy. Dev Med Child Neurol 2020; 62: 372–378. https://doi.org/10.1111/dmcn.14413
  11. Geneen LJ, Moore RA, Clarke C, Martin D, Colvin LA, Smith BH. Physical activity and exercise for chronic pain in adults: an overview of Cochrane Reviews. Cochrane Database Syst Rev 2017; 2017: CD011279. https://doi.org/10.1002/14651858.CD011279.pub3
  12. De Schryver AM, Keulemans YC, Peters HP, Akkermans LM, Smout AJ, De Vries WR, et al. Effects of regular physical activity on defecation pattern in middle-aged patients complaining of chronic constipation. Scand J Gastroenterol 2005; 40: 422–429. https://doi.org/10.1080/00365520510011641
  13. Marquez DX, Aguiñaga 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. https://doi.org/10.1093/tbm/ibz198
  14. Lungu C, Hirtz D, Damiano D, Gross P, Mink JW. Report of a workshop on research gaps in the treatment of cerebral palsy. Neurology 2016; 87: 1293–1298. https://doi.org/10.1212/WNL.0000000000003116
  15. Hüche Larsen H, Frisk RF, Willerslev-Olsen M, Nielsen JB. Motor-learning based activities may improve functional ability in adults with severe cerebral palsy: a controlled pilot study. NeuroRehabilitation 2021; 48: 273–283. https://doi.org/10.3233/NRE-201581
  16. Hutzler Y, Rodríguez BL, Laiz NM, Díez I, Barak S. The effects of an exercise training program on hand and wrist strength, and function, and activities of daily living, in adults with severe cerebral palsy. Res Dev Disabil 2013; 34: 4343–4354. https://doi.org/10.1016/j.ridd.2013.09.015
  17. Terada K, Satonaka A, Terada Y, Suzuki N. Training effects of wheelchair dance on aerobic fitness in bedridden individuals with severe athetospastic cerebral palsy rated to GMFCS level V. Eur J Phys Rehabil Med 2017; 53: 744–750. https://doi.org/10.23736/S1973-9087.17.04486-0
  18. Taylor NF, Dodd KJ, Larkin H. Adults with cerebral palsy benefit from participating in a strength training programme at a community gymnasium. Disabil Rehabil 2004; 26: 1128–1134. https://doi.org/10.1080/09638280410001712387
  19. Vogtle LK, Malone LA, Azuero A. Outcomes of an exercise program for pain and fatigue management in adults with cerebral palsy. Disabil Rehabil 2014; 36: 818–825. https://doi.org/10.3109/09638288.2013.821181
  20. Ahmed Awan W, Masood T, Kanwal R. Effectiveness of physical therapy for improving constipation in spastic cerebral palsy. Altern Ther Health Med 2021; 27: 185–189.
  21. Kim SH, Jung JH, Chang MC, Park D. The effect of intensive rehabilitation treatment on sleep disorder in children with motor delays. BMC Pediatr 2023; 23: 291. https://doi.org/10.1186/s12887-023-04067-1
  22. Verschuren O, Ketelaar M, Gorter JW, Helders PJM, Uiterwaal CSPM, Takken T. Exercise training program in children and adolescents with cerebral palsy: a randomized controlled trial. Arch Pediatr Adolesc Med 2007; 161: 1075–1081. https://doi.org/10.1001/archpedi.161.4.356
  23. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res 1989; 28: 193–213. https://doi.org/10.1016/0165-1781(89)90047-4
  24. Thomsen AS, Bech P. Possible error in the Danish version of the WHO Quality of Life (WHOQOL-BREF) Questionnaire. Nord J Psychiatry 2017; 71: 549–550. https://doi.org/10.1080/08039488.2017.1352025
  25. Sprangers MA, Aaronson NK. The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: a review. J Clin Epidemiol 1992; 45: 743–760. https://doi.org/10.1016/0895-4356(92)90052-o
  26. Kooijmans R, van Langen M, Voss H, Reichrath E, Maljaars J, Dalemans R, et al. Does adapting a self-report instrument to improve its cognitive accessibility for people with intellectual disability result in a better measure? A cognitive interview study. Res Dev Disabil 2024; 154: 104851. https://doi.org/10.1016/j.ridd.2024.104851
  27. Spence RR, Sandler CX, Jones TL, McDonald N, Dunn RM, Hayes SC. Practical suggestions for harms reporting in exercise oncology: the Exercise Harms Reporting Method (ExHaRM). BMJ Open 2022; 12: e067998. https://doi.org/10.1136/bmjopen-2022-067998
  28. Barney CC, Andersen RD, Defrin R, Genik LM, McGuire BE, Symons FJ. Challenges in pain assessment and management among individuals with intellectual and developmental disabilities. Pain Rep 2020; 5: e821. https://doi.org/10.1097/PR9.0000000000000822
  29. Noerholm V, Groenvold M, Watt T, Bjorner JB, Rasmussen N-A, Bech P. Quality of life in the Danish general population: normative data and validity of WHOQOL-BREF using Rasch and Item Response Theory Models. Qual Life Res 2004; 13: 531–540.
  30. Demuth SK, Knutson LM, Fowler EG. The PEDALS stationary cycling intervention and health-related quality of life in children with cerebral palsy: a randomized controlled trial. Dev Med Child Neurol 2012; 54: 654–661. https://doi.org/10.1111/j.1469-8749.2012.04321.x
  31. Soares EG, Gusmão CHV, Souto DO. Efficacy of aerobic exercise on the functioning and quality of life of children and adolescents with cerebral palsy: a systematic review and meta-analysis. Dev Med Child Neurol 2023; 65: 1292–1307. https://doi.org/10.1111/dmcn.15570
  32. Jansen J, Marshall PW, Benatar JR, Cross R, Lindbom TK, Kingsley M. Low-intensity resistance exercise in cardiac rehabilitation: a narrative review of mechanistic evidence and clinical implications. J Clin Med 2024; 13: 7338. https://doi.org/10.3390/jcm13237338
  33. Rubsam M, Girolami GL, Bhatt T. Dual task training interventions and mobility-based outcomes in children with cerebral palsy: a scoping review. Phys Occup Ther Pediatr 2025; 45: 652–671. https://doi.org/10.1080/01942638.2025.2477792
  34. Lieber RL, Fridén J. Muscle contracture and passive mechanics in cerebral palsy. J Appl Physiol 2019; 126: 1492–1501. https://doi.org/10.1152/japplphysiol.00278.2018
  35. Rice J, Skuza P, Baker F, Russo R, Fehlings D. Identification and measurement of dystonia in cerebral palsy. Dev Med Child Neurol 2017; 59: 1249–1255. https://doi.org/10.1111/dmcn.13502
  36. Sanger TD, Delgado MR, Gaebler-Spira D, Hallett M, Mink JW, Task Force on Childhood Motor Disorders. Classification and definition of disorders causing hypertonia in childhood. Pediatrics 2003; 111: e89–e97. https://doi.org/10.1542/peds.111.1.e89
  37. Merino-Andrés J, García de Mateos-López A, Damiano DL, Sánchez-Sierra A. Effect of muscle strength training in children and adolescents with spastic cerebral palsy: a systematic review and meta-analysis. Clin Rehabil 2022; 36: 4–14. https://doi.org/10.1177/02692155211040199
  38. Harvey A, Smith N, Smith M, Ostojic K, Berryman C. Chronic pain in children and young people with cerebral palsy: a narrative review of challenges, advances, and future directions. BMC Med 2024; 22: 238. https://doi.org/10.1186/s12916-024-03458-0
  39. Chibnall JT, Tait RC. Pain assessment in cognitively impaired and unimpaired older adults: a comparison of four scales. Pain 2001; 92: 173–186. https://doi.org/10.1016/s0304-3959(00)00485-1