See All Evidence Sections
Physical Activity Participation

Correlates of Physical Activity Participation and Barriers/Facilitators to Physical Activity

In order to tailor physical activity-enhancing interventions to the needs of individuals with SCI, it is necessary to understand the factors that facilitate and hinder their participation.  Dozens of studies have been conducted to (a) test for predictors or correlates of physical activity participation and (b) generate lists of barriers and facilitators to physical activity experienced by people with SCI and other disabilities (Martin Ginis et al. 2016; Martin Ginis et al. 2021). The objective of this section is to summarize this literature.

In Table 2, we have synthesized the results of studies that have used quantitative methods and statistics to examine the strength of relationships (i.e., correlations) between factors that could be related to physical activity and a measure of physical activity participation. In Table 3, we have synthesized descriptive information from studies in which participants were explicitly asked about barriers and facilitators to physical activity, but there was not a statistical test of the relationship between these factors and physical activity participation.

Author Year

Country
Research Design

Score
Total Sample Size

Methods

Outcome

Kooijmans et al. (2020)

Netherlands

Observational

N=268

Population: Mean age: 47.7yr; Gender: males=197, females=71; Motor complete SCI=221; Mean time since injury: 24yr.

No Intervention: Participants completed two questionnaires during an aftercare SCI check-up. Outcome Measures: Spinal Cord Independence Measure III (SCIM-III), Physical Activity Scale for Individuals with Physical Disabilities.

1.        Exercise self-efficacy was significantly related to the level of daily physical activity (β=0.05; 95% CI 0.04–0.07; 15% explained variance; p<0.001) based on a univariate regression analysis. 2.      There was a significant association between self-efficacy and performing sports activities (LOG β = 0.04, 95% CI 0.03–0.06), as well as daily activities that are not sports related (LOG β = 0.01, 95% CI 0.02–0.05).
Hansen et al. (2020)

Denmark

Observational

N=181

Population: Mean age: 48±14yr; Gender: males=86, females=95; Level of injury: tetraplegia=22, paraplegia=81, unknown=11; Level of severity: complete=59, incomplete=50, unknown=5.

No Intervention: Manual wheelchair users (MWCUs) completed a 15-20min survey containing three sections: demographic information, self-reported physical activity level (PAL), and perception of barriers to physical activity participation.

Outcome Measures: Barriers to Physical Activity Questionnaire for People with Mobility Impairments (BPAQ-MI).

1.        There were no significant differences in any demographic variables between participants (p>0.162).

2.      The 5 most prevalent barriers included 2 intrapersonal and 3 community barriers.

3.      The 5 most severe individual barriers included 1 organizational and 4 community barriers.

4.     PAL was inversely associated with total intrapersonal (r=-0.487, p<0.01) and overall (r=-0.241, p<0.01) impact and the intrapersonal “health” (r=-0.477, p<0.01) and “beliefs/attitudes” (r=-0.307, p<0.01) subdomains. 5.      The “health” subdomain impact score was independently associated with PAL (p<.001).

Postma et al. (2020)

Netherlands

Observational

NInitial=47, NFinal=38

Population: Mean age: 54.5yr; Gender: males=25, females=22; Injury: Tetraplegia AIS C=1, Tetraplegia AIS D=22, Paraplegia AIS C=3, Paraplegia AIS D=21; Mean time since injury: 89.6d.

No Intervention: Participants wore an Activ8 sensor and were evaluated 2wk prior to discharge and at 6mo and 1 year post discharge from inpatient rehabilitation to evaluate changes in duration of physical activity and sedentary behavior.

Outcome Measures: Level of physical activity.

1.        The duration of physical activity and sedentary behavior changed between discharge and 6mo by 21min/d (p=0.004) and -64min/d (p<0.001), respectively. It remained stable from 6mo to 1yr. 2.      Largest proportion of physical activity was walking which increased over time from 60% to 84%, while wheeling decreased from 24% to 3%. 3.      Mean physical activity at 1yr post discharge was 116±59min/d, with 21% being active <60min/d. 4.     Older age and lower ambulation level were associated with lower physical activity (p<0.05). 5.      Lower ambulation level with higher sedentary behavior and tetraplegia were associated with reduced increase in physical activity.
 Santino et al. (2020)

Canada

Observational

N=170

Population: Age: <55yr=54, >55yr=116; Gender: males=136, females=34; I Injury: Incomplete paraplegia=40, Complete paraplegia=40, Incomplete tetraplegia=58, Complete tetraplegia=30, missing=2; Time since injury: <10yr=48, 10+yr=122. No Intervention: Participants completed various measures during a telephone interview.

Outcome Measures: Leisure Time Physical Activity Questionnaire for People with SCI,

1.        The mean minutes per week of moderate and heavy leisure time physical activity was 255.25±457.59.
Kazmierczak et al. (2018)

Poland

Observational

N=75

Population: Mean age: 34.3yr; Gender: males=57, females=18; Level of injury: cervical=25, thoracic=25, lumbar=25; Mean time since injury: 7.2yr.

No Intervention: Participants completed a custom questionnaire pertaining to their leisure time physical activities (LTPA). Medical charts were also used to extract injury data.

Outcome Measures: Frequency of LTPA, Barthel Index.

1.        From pre to post injury, 58.7% reported a decrease in LTPA, 24% no change and 17.3% an increase.

2.      Based on level of injury, a decrease in LTPA was reported for 52% of the cervical group, 68% thoracic group and 56% lumbar group.

3.      65.3% of participants were currently practicing LTPA: 56% of cervical group, 60% of thoracic group and 80% of lumbar group.

4.     44% reported doing individual activities as LTPA, 16% both individual and group activities, and 5.3% group activities.

5.      The time between SCI and commitment to LTPA was <1yr for 40%, 1-3yr for 20%, 4-5yr for 2.7% and >6 for 2.7% of participants.

6.      34.7% said it was their own decision to engage.

7.      Frequency of LTPA for total sample was 3-4 times/wk for 32 and 2-4 times/wk for 11.

8.     Of those working out 3-4time/wk, 9 were from the cervical group, 11 thoracic, and 12 the lumbar group.

9.      Of those working 2-4 times/wk, 4 were from the cervical group, 1 thoracic and 6 lumbar.

10.  Participants with higher physical independence (higher score in BI) engaged in physical exercises proportionality more often.

Ferri-Caruana et al.(2020)

Spain

Observational

N=106

Population: Exercise Group (n=63): Gender: males=58, females=6; Mean age=38.81yr; Level of injury: T2-L5; Severity of injury: AIS A-B; Mean time since injury: 173.8mo. Non-Exercise Group (n=42): Gender: males=32, females=10; Mean age=46.24yr; Level of injury: T2-T5; Severity of injury: AIS A-B; Mean time since injury: 171.61mo.

No Intervention: Participants completed the exercise motivations inventory questionnaire which assesses predisposing reasons for the practice of physical exercise.

Outcome Measures: Exercise Motivations Inventory (EMI-2).

 

1.        Participants in both the exercise and non-exercise group showed similar motivation towards exercise.

2.      The most important motive to practice or to adhere to exercise was ill health avoidance, the second was fitness.

3.      Motives that distinguished the exercise group from non-exercise group included enjoyment and revitalization (p<0.05), competition (p<0.05), and health pressure (p<0.01). 4.     Motivation was found to relate to the type of physical exercise performed. 5.      Sports players showed a significantly higher score for competition and enjoyment and revitalization than physical exercisers (p<0.05).

Taran et al. (2018)

Canada

Secondary analysis of Rocchi et al. 2017

N=56

*Subset of population from Rocchi et al., 2017

 

Population: Age=53.8±11.2yr.; Gender: males=41, females=15; Level of injury: paraplegia=33, tetraplegia=23; Level of severity: ASIA A=46%, B=14%, C=18%, D=21%, E=1%; Time since injury=20.6±13.7yr.

No Intervention: Secondary analysis. Intervention completed in study being analyzed.

Outcome Measures: Leisure Time Physical Activity Questionnaire (LTPAQ), Satisfaction with Life Scale (SWLS), Impact of pain.

1.        After controlling for mobility, perception of the impact of pain was highly negatively associated with life satisfaction.

2.      LTPA was associated with life satisfaction, accounting for an additional 13% of variance.

3.      Standardized regression coefficient between perception of the impact of pain and life satisfaction did not change after adding LTPA to the model, which shows the independent association of LTPA and perception of pain with life satisfaction.

Jorgensen et al. (2017)

Sweden

Observational

N=119

 

 

Population:  Mean Age=63.5±8.7yr; Gender: Males=84, Females=35; Level of Injury: C1-L5; Severity of Injury: AIS A-C=60, D=59; Mean Time Since Injury=23.9±11.7yr.

No Intervention: Review of data from the Swedish Aging with SCI Study to assess participation in leisure time physical activity (LTPA) among older adults with long-term SCI.

Outcome Measures: Physical activity recall assessment for people with Spinal Cord Injury (PARA-SCI), intensity, type and duration of physical activity.

1.        Of the total population, 29% reported no LTPA, while 53% performed moderate-to-heavy intensity LTPA.

2.      The mean minutes per day of total LTPA where 34.7, while moderate-to-heavy was 22.5.

3.      The most frequently performed activities were walking (32%), wheeling (25%) and general fitness (24%).

6.      Sociodemographic, injury characteristics and secondary health conditions explained 10.6% and 13.4% of the variance in total and moderate-to-heavy LTPA. Age and wheelchair use were significantly, negatively associated with total LTPA (p<0.05). Women, wheelchair users and employed participants performed significantly less moderate-to-heavy LTPA than men, those using walking devices/no mobility device and unemployed participants (p<.05).

Perrier et al. (2017)

Canada

Observational

N=695

 

 

Population: Mean age: 46.81±13.41yr; Gender: males=528, females=167; Injury etiology= Traumatic, Mean time since injury: 15.19yr±11.10yr.

No Intervention: Cross sectional analysis to examine daily activity time.

Outcome Measures: Daily self reported activity time across 36 different activities. Relationships between variables and activity time.

1.        Participants reported significantly more minutes per day spent on mild-intensity than moderate-intensity (p<0.0001) or heavy-intensity activities (p<0.0001). More minutes per day were also spent in moderate- versus heavy-intensity daily activities (p<0.0001). 2.      There were significant between-group differences for education groups with regard to minutes per day of mild-intensity daily activities, p<0.01. There were also between-group differences for injury severity categories with regard to minutes per day of heavy-intensity activities, p< 0.01. Participants with an injury classified as AIS A–C, C1–C4 or AIS A–C, T1–S5 reported significantly fewer minutes per day of heavy-intensity activities than those classified as AIS D.
Rauch et al. (2017)

Germany

Observational

N=485

Population: Mean age: 52.8yr; Gender: males=357, females=128; Injury: Incomplete paraplegia=169, Complete paraplegia=159, Incomplete tetraplegia=100, Complete tetraplegia=55, missing=2; Mean time since injury: 17.3yr.

No Intervention: Secondary analysis of Swiss Spinal Cord Injury Cohort Study.

Outcome Measures: Self-reported Spinal Cord Independence Measure, Physical Activity Scale for Individuals with Physical Disabilities, SF-36 five-item Mental Health Index, Nottwil Environmental Factors Inventory Short Form, Purpose in Life Test-Short Form.

1.        Older age decreased, but being a manual wheelchair user increased the odds of being physically active and achieving the World Health Organization recommendations on physical activity.

2.      Social support and self-efficacy increased odds of being physically active.

3.      Use of intermittent catheter increased and dependency in self-care mobility and coping with emotions decreased odds for achieving the World Health Organization recommendations on physical activity.

Rocchi et al. (2017)

Canada

Observational

N=73

Population: Mean age: 52.99yr; Gender: males=54, females=18, undisclosed=1; Level of injury: Paraplegia=41, Tetraplegia=28, undisclosed=4; Level of severity: AIS A=,33 AIS B=10, AIS C=13, AIS D=15; Mean time since injury: 19.99yr.

No Intervention: Individuals completed a questionnaire by telephone. The questionnaire was completed twice, once in response to aerobic activities and one for resistance activity. Physical activity levels were compared to SCI specific physical activity guidelines. Aerobic guideline was at least 2 sessions (at least 20min each) of moderate to vigorous intensity aerobic activity in last 7 days. The resistance guideline was similar (2 sessions in last 7 days).

Outcome Measures: Leisure Time Physical Activity Questionnaire for People with SCI (LTPAQ-SCI), Treatment Self-Regulation for Exercise Questionnaire.

1.        Of the adults with SCI interviewed, 36% and 19% were meeting the aerobic and resistance guidelines, respectively.

2.      12% of the sample met both aerobic and resistance requirements.

3.      44% of the sample reported no physical activity at all.

4.     No demographic or SCI characteristics predicted meeting the aerobic or resistance physical activity guidelines when compared with the no activity or some activity groupings.

5.      Autonomous motivation was a significant correlate where individuals with an autonomous motivation for physical activity were more likely to meet the guidelines than not.

6.      Manual wheelchair users were more likely to meet both the aerobic and resistance guidelines compared to those reporting some activity.

Rauch et al. (2016)

Germany

Observational

N=485

Population: Mean age: 52.9yr; Gender: males=357, females=128; Severity of SCI: Complete paraplegia=159, Incomplete paraplegia=169, Complete tetraplegia=55, Incomplete tetraplegia=100, missing=2; Mean time since injury: 17.3yr.

No Intervention: Participants completed a survey examining physical activity levels.

Outcome Measures: Four items from the Physical Activity Scale for Individuals with Physical Disabilities, Spinal Cord Independence Measure.

1.        The median total time for all physical activities per week was 6.0hr.

2.      Participants spent the most time (median 2.2hr) performing sports of light intensity.

3.      Participants with complete paraplegia, manual wheelchair users, and time since injury 16-25yr spent the most median time on sports of moderate intensity.

4.     Participation was lowest for strenuous sporting activities and muscle-strengthening exercises.

5.      People 71 and older, women, people with complete tetraplegia and users of electric wheelchairs showed the lowest total physical activity times.

6.      18.6% of the sample was completely physically inactive.

7.      50.3% carried out muscle-strengthening exercises at least 1-2 days a week.

8.     48.9% of participants fulfilled the WHO recommendations for physical activity.

9.      Women, people aged 71 and older, and people with complete tetraplegia had significantly lower odds of fulfilling the WHO recommendations than participants in the respective reference category (men, ages 17–30, incomplete paraplegia).

Zbogar et al. (2016)

Canada

Observational

N=95

 

Population: Gender: males=68, females=27; mean age=49yrs; level of injury: paraplegia=53, tetraplegia=42; severity of injury: AIS A=23, B=12, C=12, D=48.

No Intervention: Physical activity level at admission and discharge were recorded by self-report questionnaire (PARA-SCI) and real-time accelerometers worn on the dominant wrist or hip if ambulatory.

Outcome Measures: Actical accelerometers (physical activity measure), Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        There was no statistically significant change over time in self-reported physical activity (PARA-SCI) minutes outside therapy for both paraplegia and tetraplegia at lower and higher intensities (median mins of physical paraplegia- higher intensity: admission=555min, discharge=587min, lower intensity: admission=532min, discharge=565min; tetraplegia- higher intensity: admission=533min, discharge=556min, lower intensity: admission=489min, discharge=497min) (ps>0.05).

2.      Significant increases in physical activity outside physical therapy and occupational therapy sessions from admission to discharge were found for wrist accelerometers for individuals with tetraplegia (from 62min at admission to 99min at discharge) and hip accelerometers for ambulatory individuals (from 0min at admission to 1097min at discharge; ps<0.0001).

Martin Ginis et al. (2017)

Canada

Observational

N=347

Population: Mean age: 47.7yr; Gender: males=271, females=76; Level of injury: C1-C8=141, T1-S5=206; Mean time since injury: 16.1yr.

No Intervention: Secondary analysis of Study of Health and Activity in Spinal Cord Injury (SHAPE-SCI) study. Participants completed a questionnaire at baseline pertaining to theory of planned behaviour constructs and at 6mo one for leisure time physical activity (LTPA).

Outcome Measures: Theory of planned behavior constructs, the Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        At baseline, ambulators had poorer attitudes towards LTPA than manual chair users (p=0.004). No other differences were significant.

2.      Among ambulators, perceived behavioural control was negatively related to LTPA (p<0.05), meaning ambulators with the greatest sense of control over LTPA did the least activity. 3.      Attitudes had a significant indirect relationship with LTPA through intentions (p<0.05). 4.     Among manual chair users, perceived behavioural control was not directly associated with LTPA but attitudes (p<0.01), subjective norms (p<0.05) and perceived behavioural control (p<0.01) were significant indirect predictors of LTPA through intentions.

Martin Ginis et al.(2013)

Canada

Observational

N=238

Population: Actors (n=105): Mean age: 42.41±13.59yr; Mean time since injury: 11.29±8.60yr; Gender: males=80, females=25; Level of injury: paraplegia=53, tetraplegia=50; Level of severity: complete=34, incomplete=42. Intenders (n=73): Mean age: 45.07±11.69yr; Mean time since injury: 15.84±11.16yr; Gender: males=57, females=16; Level of injury: paraplegia=32, tetraplegia=41; Level of severity: complete=19, incomplete=32. Nonintenders (n=58): Mean age: 46.18±12.15yr; Mean time since injury: 17.02±9.75yr; Gender: males=42, females=16; Level of injury: paraplegia=20, tetraplegia=38; Level of severity: complete=13, incomplete=22.

No Intervention: Individuals completed a questionnaire that assessed the following Health Action Process Approach (HAPA) constructs: leisure time physical activity (LTPA) outcome expectancies, self-efficacy, intentions, planning, and action control.

Outcome Measures: Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        There was a significant difference in the number of years postinjury between the groups (p<0.001). Both intenders and nonintenders were injured longer ago than actors. 2.      There was a significant difference in the highest level of education obtained between groups (p=0.004). A greater percentage of actors completed a postsecondary education as compared with intenders and nonintenders. 3.      Actors had significantly more min/day of moderate and heavy intensity LTPA than intenders and nonintenders (p<0.001). 4.     For all the measures, actors scored significantly higher than intenders who scored significantly higher than nonintenders (p<0.001).
Kroll et al. (2012)

UK

Observational

N=612

Population: Mean age: 48.5yr; Gender: males=386, females=226; Paraplegia=300; Complete SCI=356; Mean time since injury: 15.88yr.

No Intervention: Participants completed mail-in surveys over 2yr examining exercise self-efficacy and exercise behaviour.

Outcome Measures: Exercise frequency and intensity, Exercise Self-Efficacy Scale.

1.        Self-efficacy beliefs were significantly related to frequency and intensity of resistance training (R2 change=0.08 and 0.03, respectively; P<0.01 for all) and aerobic training (R2 change = 0.07 and 0.05, respectively; P<0.01 for all). 2.      Participants engaged in aerobic exercise, on average, 2.4±2.3d/wk and resistance training 2.15±2.14d/wk. 3.      Participants, on average, rated their aerobic and resistance training intensity to be moderate. 4.     For aerobic exercise frequency, leg use was positively associated and wheelchair use was negatively associated with exercise frequency. 5.      For aerobic exercise frequency, no demographic or clinical variables were significant predictors. 6.      No clinical or demographic variables contributed significantly to the prediction of resistance training intensity. Only sex demonstrated a significant association with resistance training intensity (men had higher frequency).
Perrier et al. (2012)

Canada

Observational

N=695

Population: Mean age: 47.1yr; Gender: males=531, females=164; Injury: C1-C4 ASIA A-C=75, C5-C8 ASIA A-C =184, T1-S5 ASIA A-C =255, ASIA D=172; Mean time since injury: 15.3yr.

No Intervention: Participants completed a questionnaire regarding seasonal variation in total moderate-to-vigorous leisure time physical activity (LTPA), exercise and sport.

Outcome Measures: Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        On average, 28±34min per day was spent in moderate-to-heavy intensity LTPA, 22.7±28.1 min per day was spent in exercise and 46.5±46.6 min per day in sport.

2.      Season did not predict whether participants engaged in moderate-to-vigorous LTPA.

3.      Season did not predict participation in sport or exercise.

4.     Years post injury was the only variable that predicted exercise participation. Those injured more recently were more likely to exercise.

5.      Participants who were younger were more likely to be active at any sport.

6.      In the active sub-cohort, during the winter they reported engaging in less moderate to vigorous LTPA than those who were interviewed in summer. This pattern was observed for exercise as well.

Phang et al. (2012)

Canada

Observational

N=54

Population: Mean age: 47.7yr; Gender: males=43, females=11; Level of injury: Paraplegia=41, tetraplegia=13; Level of severity: Complete=27, Incomplete=27.

No Intervention: Participants completed a questionnaire and a wheelchair skills test.

Outcome Measures: Wheelchair skills Test V4.1 for manual wheelchair users, Wheelchair Use Confidence Scale, Barriers to leisure-time physical activity, Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        A significant positive relationship was shown between wheelchair skills and leisure time physical activity (p<0.05). 2.      Participants who were more skilled at using their manual wheelchairs reported more min/d of moderate-heavy leisure time physical activity. 3.      There was a positive relationship between wheelchair skills and wheel-chair use self-efficacy (p<0.05). 4.     Wheelchair use self-efficacy was not significantly associated with leisure time physical activity. 5.      Wheelchair-use self-efficacy does not mediate the skills leisure time physical activity relationship.
Martin Ginis et al. (2011)

Canada

Observational

N=160

Population: Mean age: 47.4±12.9yr; Mean time since injury: 16.2±10.1yr; Gender: males=118, females=42; Level of injury: tetraplegia=59%; Level of severity: incomplete=63%.

No Intervention: Individuals completed a questionnaire that assessed the following Social Cognitive Theory variables: social support, task self-efficacy, self-regulatory efficacy, self-regulation, outcome expectations, and leisure time physical activity.

Outcome Measures: Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        Self-regulation had significant direct effects on physical activity (p<0.05). 2.      Self-regulatory efficacy had significant indirect effects on physical activity (p<0.05). 3.      Higher self-regulatory efficacy had significant effects on outcome expectations and use of self-regulation strategies (p<0.05). 4.     Self-regulatory efficacy had nonsignificant direct effects on physical activity (p>0.05).

5.      Task self-efficacy did not have significant total nor indirect effects on physical activity (p>0.05).

6.      Outcome expectations had nonsignificant total effects (p>0.05) on physical activity, but significant indirect effects (p<0.05). 7.      Social support had nonsignificant total and indirect effects on physical activity (p>0.05).

de Groot et al. (2011)

Observational

Netherlands

N=109

Population: Gender: males=79, females=30; Mean age=40.4yr; Level of injury: tetraplegia=29, complete lesion=78; Severity of injury: AIS A-D; Mean time since injury=708 days.

No Intervention: Participants completed questionnaires assessing wheelchair satisfaction, level of physical activity, time spent on eight vocational and leisure activities, and health status.

Outcome Measures: Dutch version of the Quebec user evaluation of satisfaction with assistive technology (D-QUEST), physical activity scale for individuals with a physical disability (PASIPD), Uretch activity list (UAL), mobility range and social behavior subscales of the SIP68 (SIPSOC).

 

1.        High level of satisfaction was reported with wheelchair related aspects (>80%).

2.      Participants were less satisfied with the service-related aspects.

3.      Those with an incomplete lesion were slightly more satisfied with wheelchair related aspects (p=0.02) and service-related aspects (p=0.05) than those with complete lesion.

4.     Higher satisfaction regarding wheelchair dimensions and a higher overall satisfaction were related to a more active lifestyle.

Martin Ginis, Latimer, et al. (2010)

Canada

Cross-Sectional

N=695

Population: Mean age:47.1±13.5yr; Gender: males=531, females=164; Mean time post-injury: 15.3±11.1yr

No Intervention: Data on physical activity and demographic/injury-related characteristics of SCI patients were collected through telephone interviews.

Outcome Measures: Physical Activity Recall Assessment for Persons with Spinal Cord Injury (PARA-SCI).

1.        Respondents reported a mean of 27.14±49.36 minutes of LTPA a day.

2.      50.1% of participants reported no LTPA whatsoever.

3.      LTPA decreased as age and years post-injury increased.

4.     Men were more active than women.

5.      Manual wheelchair users were more active than power wheelchair users and persons using gait aids.

6.      Participants with tetraplegia with C1–C4 and C5–C8, AIS grade A–C level injuries were significantly less active than participants with AIS grade D injuries and participants with paraplegia with AIS grade A to C injuries.

7.      Highest amounts of daily LTPA (≥21min/d) were associated with manual wheelchair use and T1 to S5, AIS grade A to C injury.

8.     Moderate LTPA (1–20min/day) was most associated with being female, 5 to 10 years post injury, and 21 to 33.8 years of age.

9.      Inactivity (0min/d) was most associated with being male, greater than or equal to 11 years post injury, and greater than or equal to 33.8 years of age.

Arbour-Nicitopoulos et al. (2009)

Canada

Observational

N=574

 

Population: Mean age: 46.89yr; Gender: males=448, females=126; Level of injury: tetraplegia=298, miscellaneous= 276; Level of severity: AIS B-D=344.

No Intervention: Participants completed a questionnaire assessing aspects of neighborhood perceptions, and leisure time physical activity.

Outcome Measures: Affective attitudes, instrumental attitudes, subjective norm, self-efficacy, sidewalks, esthetics: Neighborhood Environment Walkability Scale (NEWS), intentions, Leisure-time physical activity: Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI).

1.        Theory of planned behavior constructs explained 57% of the variance in leisure time physical activity intentions and 12% of variance in behavior.

2.      Variance in intentions increased when neighborhood variables were included within the model.

3.      Esthetics exhibited significant positive relationships with theory of planned behavior variables (p<0.01).

Arbour et al. (2009)

Canada

Observational

N=50

Population: Mean age: 43.5±12.7yr; Gender: males=35, females=15; Mean time post-injury: 13.8±10.4yr; Severity of injury: complete (15), incomplete (35); Wheelchair users: 52% manual

No Intervention: Questionnaire

Outcome Measures: Perceived proximity to a fitness center compared to time spent participating in leisure time physical activity

1.        There was no significant association between leisure time physical activity and perceived proximity to a fitness center (p<0.1).
Van den Berg-Emons et al. (2008)

The Netherlands

Observational

NInitial=36, NFinal=16

Population: T1: Mean age: 42.1yr; Gender: males=28, females=8. T5 (n=16): Mean age: 42.2yr; Gender: males=14, females=2.

No Intervention:  Participants’ physical activity level was monitored 2 consecutive weekdays every assessment period using an activity monitor. Data was collected at the start of inpatient rehabilitation (T1), 3 months later (T2), at discharge from inpatient rehabilitation (T3), and 2 months (T4) and 1 year post discharge (T5).

Outcome Measures: Physical activity level based on accelerometry-based activity monitor.

1.        Physical activity level increased significantly between T1 and T3 (p<0.01). Duration of dynamic activities increased by 41% (20min per 24hr; p<0.001) and average body motility by 19% (p=0.008). 2.      Duration of dynamic activities significantly decreased from T3 to T4 (33%, p<0.001). 3.      Age was significantly related to average body motility; an increase in 1yr was associated with a decrease of 7.8-10-5g average body motility. 4.     Sex and completeness of lesion were not significantly related with physical activity level. 5.      Those with paraplegia and with an incomplete lesion showed significantly more improvement in the duration of dynamic activities in the year after discharge than did those with tetraplegia and with a complete lesion, respectively. 6.      At T5 duration of dynamic activities was 49 minutes per day. No one had wheelchair driving periods that lasted more than 10 minutes.
O’Neill et al. (2004)

UK

Observational

N=33

Population: SCI=27, Guillain-Barre Syndrome=6. Gender: males=27, females=6.

No Intervention: A telephone survey was completed capturing patients’ perception of the effect of sport on rehabilitation.

Outcome Measures: Sports participation.

1.        45.5% of participants previously participated in regular sporting activity.

2.      During inpatient admission, at least one sport was tried by 72.7% of participants (bowling, archery, swimming, table tennis, basketball and darts).

3.      14 participants reported regular sporting activity post discharge.

4.     Those who regularly exercised were mostly male, aged 16-35yr, had exercised previously.

5.      Cardiovascular training was the most popular exercise activity (training at a gym, n=6; swimming, n=3; bowling, n=2).

6.      The general benefit of sporting activity was recognized by 78.8% and the rehabilitation benefit by 69.7%.

7.      Self-reported benefits from participants (n=26) included increases in fitness, quality of life, confidence and social contact.

8.     Two top reasons for not exercising were poor accessibility (n=5) and not interested in sports (n=5).

Manns and Chad (1999)

Canada

Observational

N=38

 

Population:  Mean Age=30.1±9.8yr; Gender: Males=20, Females=3; Level of Injury: Quadriplegic=17, Paraplegic=21; Severity of Injury=complete; Time Since Injury=2-30yr.

No Intervention: Not applicable. Cross sectional analysis to determine the relationships among fitness, physical activity, subjective quality of life and handicap in individuals with SCI.

Outcome Measures: Fitness level, leisure time exercise questionnaire, Quality of Life Profile: Physical and Sensory Disabilities Version, Craig Handicap Assessment Reporting Technique.

1.        Physical activity was significantly correlated with level of impairment in individuals with quadriplegia or paraplegia (p<0.05). 2.      Scores for physical independence, mobility and occupation were significantly correlated with physical activity in individuals with quadriplegia (p<0.05). 3.      There was no correlation between subjective quality of life scores and fitness/physical activity in individuals with paraplegia or quadriplegia (p>0.05).

4.     More active individuals were younger and has shorter durations of injury, although, only the difference in age was significant (p<0.05).

Foreman et al. (1997)

Australia

Observational

N=121

 

Population: Sport participants (n=54): Mean age: 31.93±8.23yr; Mean age at injury: 21.02±7.09yr; Gender: males=49, females=5; Level of injury: C=21. Nonparticipants (n=67): Mean age: 38.34±9.25yr; Mean age at injury: 25.02±9.40yr; Gender: males=53, females=14; Level of injury: C=45.

No Intervention: Individuals completed a set of questionnaires including requests for demographic information and assessments of depression and anxiety.

Outcome Measures: Centre for Epidemiological Studies Depression Scale, State Tait Anxiety Inventory.

1.        There were significant differences in age, age at injury, level of lesion, and income between the groups (p<0.05). 2.      No significant differences were found for depression between the groups (p=0.099). 3.      Nonparticipants had a significantly higher score in trait anxiety than sport participants (p=0.048).

Author

Year

Country
Research Design

Score
Total Sample Size

Methods

Outcome

de Groot et al. (2020)

Netherlands

Observational

N=96

Population: Gender: males=72, females=24; Mean age=47.8yr; Injury: SCI=57, amputation=14, spina bifida=2, other=19; Mean time since injury=13.2yr.

No Intervention: Participants completed a survey which concerned the benefits of participating in the HandbikeBattle event, current sport participation, and experienced barriers and facilitators regarding current sport participation.

Outcome Measures: Experienced benefits/losses (fitness, health, handcycling, performance activities in daily life, personal development), exercise and sports participation (average hr per week during last 3mo), experienced barriers and facilitators (personal barriers, environmental barriers, personal facilitators, environmental facilitators).

1.        Reported benefits of the HandbikeBattle included fitness level (90%), personal development (81%), daily life activities (66%), and health (64%).

2.      The median current sport was 5.0hr/wk.

3.      Personal barriers most frequently reported were time (31%), less able to practice sport due to the disability (17%), and pain complaints (15%).

4.     Most frequently reported environmental barriers were transport to sport accommodation takes a lot of time (19%), and not enough fellow athletes (16%).

5.      Those who participated less in sports indicated more personal (p=0.004) and environmental barriers (p=0.02), with the largest differences in barriers ‘less able to practice sport due to the disability’, ‘not enough fellow athletes’, and ‘no suitable sport facilities in my area’.

Amberkar et al (2019)

India

Observational

N=102

Population: Mean age=40.41yr; Gender: males=88, females=14; Level of injury: C1-T1=10, T2-L5=92; Level of severity=complete Mean time since injury=13.39yr; Sports Participants (SCI; n=61): males=56, females=5
No Intervention: Not applicable. Interview survey data from four paraplegic rehabilitation centers in Mumbai to assess sports participation among people with SCI to understand barriers and facilitators.
Outcome Measures: Sports participation, facilitators and barriers

1.        Sports participation was 60% among SCI participants in the study, all rehabilitation centers either promoted or made sports participation mandatory, probable reason for high rates.

2.      Popular sports: basketball 20%m throwball 16%, cricket 14%, and wheelchair racing 10%.

3.      Top facilitators in sport participation were financial security, family support, institutional support i.e., training facilities.

4.     Barriers were lack of motivation, low confidence, poor fitness level.

Roopchand-Martin et al. (2018)

Jamaica

Observational

N=48

Population: Mean age: 35.4yr; Gender: males=40, females=8; Injury: complete=28, incomplete=20; Mean time since injury: 43.6mo.

No Intervention: Participants completed questionnaires via a phone interview pertaining to barriers to exercise and development of secondary health complications.

Outcome Measures: The Physical Activity and Disability Scale, Spinal Cord Injury Secondary Conditions Scale and the Barriers to Exercise and Disability Scale.

1.        25% of participants reported engaging in leisure time physical activity.

2.      60.4% of participants reported exercising but only 12.2% were engaged at levels that would result in health benefits.

3.      Exercise behavior was similar for those with paraplegia and quadriplegia.

4.     The main barriers to exercise were cost of transportation (75%) and not knowing of a fitness center to exercise (58.3%).

5.      Most participants had not experienced much secondary conditions in the past three months; however, muscle spasm (31.25%), chronic pain (20.83%) and joint and muscle pain (18.75%) were the more common.

Mat Rosly et al. (2018)

Malaysia

Observational

N=70

Population: Mean age: 39yr; Gender: males=49, females=21; Level of injury: paraplegia=58, tetraplegia=12; Level of severity: AIS A=28, AIS B=6, AIS C=13, AIS D=23; Mean time since injury: 9.6yr.

No Intervention: Questionnaires given to individuals attending outpatient SCI rehabilitation programs examining leisure time physical activity (LTPA) and barriers to exercise.

Outcome Measures: Abbreviated Physical Activity Scale for Individuals with Physical Disabilities, Barriers to Exercise Scale.

1.        73% of participants did not engage in any form of moderate or vigorous LTPA.

2.      The top three barriers to LTPA were costly exercise equipment (54%), pain while exercising (37%) and no access to facilities (36%).

3.      No significant differences between moderate-vigorous LTPA participation and non-participation in type of neurological classification or time since injury.

4.     The only significant predictors of a higher likelihood of not participating in moderate-vigorous LTPA were age, ethnicity, indicating that transportation was a problem and indicating that health concerns were an issue.

Hwang et al. (2016)

USA

Observational

N=85

Population: Age: 18-34yr=26, 35-54yr=45, 55+=14; Gender: males=56, females=29; Level of injury: cervical=43, other=42; Type of injury: complete=36, incomplete=49; Time since injury: 1-5yr=37, 6-10yr=15, 11+yr=33.

No Intervention: Survey that investigated personal, environmental, and activity barriers to participation in leisure time physical activities. The web-based survey was developed for this study.

Outcome Measures: Barriers to participation in leisure time physical activities.

1.        The three most endorsed (agree or strongly agree) personal barriers were financial resources (53%), not prescheduling physical activities for the week (53%) and pain/discomfort (49%).

2.      The three most endorsed (agree or strongly agree) environmental barriers were access to specialized SCI facilities/activities (60%), lack of environmental resources for SCI (54%) and lack of trained staff at facilities (49%).

3.      The three most endorsed (agree or strongly agree) activity barriers were lack of adaptive equipment (74%), lack of skills (67%) and terrain I cannot access (52%).

4.     Personal barriers had a significant high negative correlation with levels of physical activity (p<0.0001).

5.      Environmental barriers had a significant moderate negative correlation with physical activity (p<0.0001).

6.      Activity barriers had a significant low negative correlation with physical activity (p=0.001).

7.      Participants who were unemployed or unable to work and those with lower incomes perceived more barriers to leisure time physical activities than those who were working or had potential for being employed and those with higher incomes, respectively.

Cowan et al. (2013)

USA

Observational

N=180

 

Population: Exercisers (n=115): Gender: males=72, females=43; Mean age=46yr; Level of injury: paraplegia=47, tetraplegia=68; Level of severity: AIS A-D; Mean time since injury=13yr. Non exercisers (n=65): Gender: males=40, females=25; Mean age=45yr; Level of injury: paraplegia=31, tetraplegia=34; Level of severity: AIS A-D; Mean time since injury=15yr.

No Intervention: Participants completed a questionnaire which concerned demographics and current health, independence level, exercise.

Outcome Measures: Demographics and current health, independence level, exercise: modified version of B-PED.

1.        No differences between exercisers and non-exercisers for age, gender, injury level, injury duration, education level, employment status, or marital status.

2.      The five most prevalent barriers were lack of energy, lack of motivation, lack of time, not knowing where to exercise and cost of the program, and were not associated with participation status.

3.      The total number of perceived barriers tended to be higher among non-exercisers versus exercisers.

4.     Identifying too lazy, too difficult, or no interest as a barrier decreased likelihood of being an exerciser by 86%, 83%, and 71% respectively.

5.      Not liking exercise decreased the likelihood of being an exerciser by 90%.

Cowan et al. (2012)

USA

Observational

N=180

Population: Gender: male=113, female=67; Mean age:47yr; Injury etiology: SCI=180, cervical injury=81.

No Intervention: All participants completed a web-based survey of personal characteristics (including household income) and exercise barriers.

Outcome Measures: Barriers to Physical Exercise and Disability questionnaire (B-PED), personal characteristics, household income.

1.        No differences discriminated exercisers and non-exercisers by gender, age, race, injury level or completeness.

2.      Higher percentage of exercisers were full-time employed or married.

3.      Non exercisers reported more barriers.

4.     Lack of motivation was the most highly prevalent barrier.

5.      The most impactful barrier was “too lazy to exercise” and those who reported this as a barrier were 19 times less likely to be exercising.

Kehn and Kroll (2009)

USA

Observational

N=26

 

Population: Mean age (range): 23-74yr; Gender: males=16, females=10; Level of injury: Tetraplegia=14, Paraplegia=9; Severity of injury: complete=11, incomplete=9; Time post injury: 1-32yr.

No Intervention: Semi-structured interview guide was developed to explore core areas such as experiences with exercise before and after injury, logistics of current exercise regimen, barriers and facilitators of exercise, perceived benefits of exercise, perceived impact of exercise on secondary conditions. Each interview lasted between 20-30min. Analysis was conducted on patients who were exercisers vs. non-exercisers.

Outcome Measures: Patients’ experiences with exercise pre/post injury, barriers and facilitators to being active and perceived health impact measured after phone interview.

1.     Non-exercisers had a significantly longer duration of injury (p<0.05). Other demographic and injury characteristics were not significantly different between exercisers and non-exercisers.

2.    Similar barriers for both groups were reported.

3.    Non-exercisers reported low return on physical investment, lack of facilities, equipment cost, fear of injury and lack of personal assistance as barriers to exercise.

4.   Facilitators reported by exercisers included motivation, availability of accessible facilities and personal assistants, weight management and fear of health complications.

 

Vissers et al. (2008)

Netherlands

Observational

N=32

 

Population: Mean age: 45yr; Gender:  males=24, females=8, Severity of injury: tetraplegia=12, paraplegia=20; Mean time post injury: 103.5mo.

No Intervention: Semi-structured interview.

Outcome Measures: Response to retrospective & cross-sectional questions. 10 topic areas: subject & lesion characteristics, daily physical activity, attitude towards an active lifestyle, social activities, health, quality of life, coping, care requirements, other factors.

1.     Most important barriers:

●     In current situation: store & building accessibility, physical & mental health issues.

●     After discharge: emotional distress, self-care difficulty & mental health problems.

●     ↑ importance of barriers after discharge vs. current situation.

2.    Most important facilitators:

●     In current situation: daily physical activity preparation, physical activity stimulation & social activity preparation, in rehab center.

●     After discharge: social support (family, friends, society).

Kerstin et al. (2006)

Sweden

Qualitative

N=16

Population: Mean age: 36.0±10.6yr (range 21-61); Gender: males=12, females=4; Mean time post-injury: 8.6±9.8yr (range 2-41); Severity of injury: tetraplegia (8), paraplegia (8)

No Intervention: In-person and telephone semi-structured interviews

Outcome Measures: Major themes relating to the factors that promote participation in physical activity

1.        Cognitive and behavioral strategies: role models, creating routines and goals, recalling previous experiences and acquiring new knowledge, accepting assistance.

2.      Environmental solutions: accessibility, social support, equipment and funding.

3.      Motivation: gaining and maintaining independence, improving physical appearance, becoming a role model

4.     being competitive, establishing a self-image as physically active, becoming part of a social network.

5.      New frames of reference: learning to live with narrower physical margins.

 

 

 

 

Scelza et al. (2005)

USA

Observational

N=72

 

Population: Mean age: 44.1yr; Gender: males=50, females=22; Severity of injury: paraplegia-complete (36%), incomplete (11%); tetraplegia – complete (19%), incomplete (17%), ambulatory (17%); Mean time post-injury= 13.1yr

No Intervention: Cross-sectional survey

Outcome Measures: The Barriers of Physical Exercise and Disability survey; The Perceived Stress Scale.

1.     73.6% wanted to be engaged in an exercise program and 79.2% thought it would be helpful. Despite this, only 45.8% were currently participating in an exercise program.

2.    Perceived Barriers: 37.5% health problems that caused a cessation in exercise (pain & fractures; 37.5%), 22.2% injured during exercise (strains & pulled muscles), 31.9% facilities (discomfort, lack of accessibility & privacy).

3.    Exercise Concerns: 54.2% lack of motivation, 41.7% lack of energy, 40.3% program cost, 36.1% lack of local exercise program knowledge, 33.3% lack of interest, 31.9% lack of time.

4.   Concerns of those with Tetraplegia were greater than paraplegia: health issues cause a cessation in exercise (p=0.043), difficulty to engage in exercise (p=0.024), health issue concerns prevented exercise (p=0.035).

5.    Increased levels of perceived stress were related to increased concerns (p=0.036).

Levins et al. (2004)

USA

Qualitative

N=8

Population: Mean age: 42yr; Gender: males=5, females=3; Level of injury: T1-low thoracic levels; Mean time post-injury: 25.6yr.

No Intervention: Semi-structured interviews

Outcome Measures: Major themes relating to barriers and facilitators to participation in physical activity

1.        Individual influences: loss of an able identity, redefining self; turning points

2.      Societal influences: environmental and attitudinal barriers, material environment (structural, financial), societal attitudes.

O’Neill et al. (2004)

UK

Observational

N=33

Population: SCI=27, Guillain-Barre Syndrome=6. Gender: males=27, females=6.

No Intervention: A telephone survey was completed capturing patients’ perception of the effect of sport on rehabilitation.

Outcome Measures: Sports participation.

1.        45.5% of participants previously participated in regular sporting activity.

2.      During inpatient admission, at least one sport was tried by 72.7% of participants (bowling, archery, swimming, table tennis, basketball and darts).

3.      14 participants reported regular sporting activity post discharge.

4.     Those who regularly exercised were mostly male, aged 16-35yr, had exercised previously.

5.      Cardiovascular training was the most popular exercise activity (training at a gym, n=6; swimming, n=3; bowling, n=2).

6.      The general benefit of sporting activity was recognized by 78.8% and the rehabilitation benefit by 69.7%.

7.      Self-reported benefits from participants (n=26) included increases in fitness, quality of life, confidence and social contact.

8.     Two top reasons for not exercising were poor accessibility (n=5) and not interested in sports (n=5).

Dozens of factors related to physical activity were identified in the studies synthesized in Tables 2 and 3. One way to organize these factors is to situate them within a social-ecological model. Social-ecological models are useful for showing the interplay between individual and broader levels of influence on health (McLeroy et al. 1988). While different social-ecological models may depict slightly different levels of factors that influence health, the levels typically included in social-ecological models of physical activity behaviour include:

  1. Intrapersonal factors: physical and psychological characteristics of the individual;
  2. Interpersonal processes and primary groups: formal and informal social networks and social support systems;
  3. Institutional/Organizational factors: social institutions with organizational characteristics and rules and regulations of operation;
  4. Community factors: relationships among organizations, institutions, and informal networks within defined boundaries; and
  5. Public policy: local, state, and national laws and policies.

Drawing on the studies conducted in samples of people living with SCI, here are the key categories of factors related to physical activity at each level:

Intrapersonal level

  • Psychological factors: Negative affect and emotion, attitudes/beliefs/perceived benefits, self-perceptions; use of behaviour change strategies, personality characteristics
  • Body functions and structures (e.g., level of impairment, secondary health conditions, energy, strength, fitness)
  • Employment status

Interpersonal level

  • Social support: From family, friends, acquaintances, peers, colleagues, neighbours, and community members
  • Societal attitudes toward people with SCI and the appropriateness of the physical activity
  • Social processes (e.g., role modeling, social integration)

Institutional level

  • Knowledge held by individuals working within institutions or organizations such as rehabilitation centers and fitness centers
  • SCI-specific knowledge of people working in institutions or organizations such as how to exercise with SCI or the benefits of exercise for a person with an SCI
  • Rehabilitation processes such as information or counseling from rehabilitation professionals to support a person with SCI to do physical activity
  • Accessibility to sports, recreation, and fitness facilities
  • Aspects of the physical activity programs being provided such as proximity/availability and the provision of fun, safe, enjoyable activities

Community level

  • Information on how or where to be active with an SCI
  • Availability of equipment, particularly adaptive/accessible equipment
  • Climate/weather

Policy level

  • Access to transportation and transportation services
  • Financial costs to the individual for programs or equipment
  • Professional staff training for service providers

Looking across Table 2 and Table 3, it is evident that scientists have generated a considerable volume of information on factors associated with physical activity in people with SCI. There are several excellent reviews of these studies (Fekete & Rauch 2012; Williams et al. 2014) as well as meta-reviews of the reviews (Martin Ginis et al. 2016; Martin Ginis et al. 2021).

For the most part, this body of literature is comprised of studies conducted in high-income countries including several European countries, Canada, the United States, Australia, and the UK. It is encouraging to see some newer studies on barriers and facilitators emerging from middle-income countries such as Jamaica (Roopchand-Martin et al. 2018) and India (Amberkar et al. 2019). Currently, we know very little about factors related to physical activity participation among people with SCI living in middle-income countries and we have virtually no data from low-income countries. It is likely that the barriers to physical activity are different and more profound in these countries (for instance, because of a lack of infrastructure and social services) than in middle and high-income countries.

With regard to high-income countries, there has been a call to shift attention from conducting studies that merely list or describe barriers and facilitators in these countries to generating research and policies that intervene to alleviate the barriers or leverage the facilitators (Martin Ginis et al. 2016; Martin Ginis et al. 2021). With so much information already generated, it is difficult to see the benefit of conducting further studies of barriers or facilitators in high-income countries unless these studies will directly inform a planned intervention.

Chapter Downloads
Patient Handouts
Outcome Measures
Active Clinical Trials