Review Article

The Importance of Psychological and Social Factors in Influencing the Uptake and Maintenance of Physical Activity after Stroke: A Structured Review of the Empirical Literature

Table 9

Details of the quantitative studies included in the review regarding: method, participants, setting, summary of findings pertinent to psychological and social factors, and notes regarding theoretical models.

StudyMethodsParticipantsSettingFindingsNotes

Rimmer et al. [34]Survey:
barriers to physical activity and disability survey

54.2 (8.2)
30 M, 70 F
not reported
USA
Health promotion programme
Psychological: competence: not knowing how and where to exercise main personal barriers to exercise, reported by 46% and 44% of participants. Motivation: lack of motivation ranked 4th personal barrier by (37%) of participants. Too lazy to exercise ranked 6th personal barrier by 33% of participants. Beliefs: 36% reported belief that exercise will not improve condition
Social: importance of exercise professionals: personal trainer or exercise instructor unable to help reported by 36% of participants
No theoretical model used to underpin questionnaire or findings

Galvin et al. [33]Survey:
family-mediated exercise survey
people with stroke
40 F, 35 M
Age not reported
family members/friends
71 F, 29 M
Ireland
Hospital physiotherapy services
Social: 91% of respondents with stroke believed that family member/friend had a role in assisting them with exercise after rehabilitation. 99% of family members/friends reported they would be willing to help with exercise after rehabilitationNo theoretical model used to underpin questionnaire or findings
Not clear how questionnaire was developed. Validity and reliability not reported

Shaughnessy et al. [14]Survey using the Short Self-Efficacy for Exercise Scale and the Short Outcome Expectations for Exercise Scale
Age 62.9 (11.7)
F 177, M 127
60.2 months after stroke
USA
Mailed survey distributed via the National Stroke Association
Psychological: self-efficacy, outcome expectations, exercise behaviour before stroke, and physician advice to exercise significantly associated with exercise behaviour. These variables predicted 33% of variance in exercise behaviour. Older participants and those experiencing fatigue had lower self-efficacy for exercise. Exercise history also significantly predicted exercise behaviourLow response rate from national survey, attended stroke support groups therefore likely to be motivated

Johnston et al. [40]Longitudinal survey assessing outcomes at 10–20 days, one month after discharge, and six months after discharge
Measures:
(i) the recovery locus of control scale
(ii) Exercise coping self-rating for frequency and duration
(iii) HADS
(iv) Barthel Index
(v) Observer assessed disability

Age 69.4 years
35 F, 36 M
10–20 days after stroke to 6 months after stroke
Scotland
Acute inpatients followed up after discharge
Psychological: perceived control predicts recovery from disability after stroke. Frequency of exercise not correlated with one month recovery locus of control ( ), nor with observer assessed recovery at 6 months ( ), suggests that exercise not a coping response that medicates between control cognitions and recoveryAmount of explained variance is small
Some measures designed for the study—validity and reliability not tested fully

Cardinal et al. [37]Survey
National cross-sectional survey of individuals with disability
Stage of change algorithm to assess stage, process of change measure, self-efficacy scale, decisional balance scale, and exercise barriers scale

52.5 (13.9) years
62% F
Disabled population Stroke:
USA
Recruitment by targeting voluntary organisations and hospitals
Psychological: transtheoretical model used to examine what constructs associated with stages. All major constructs associated with the stages of change. Largest portion of variance derived from behavioural processes of change and self-efficacy. Cognitive processes decrease and behavioural processes increase with stage progression. Cons decrease and pros increase with stage progression, self-efficacy increases with stage progression
Social: helping relationships significantly associated with stage
Stroke participants formed only small proportion of sample therefore generalisation difficult
Unable to extract specific data about behavioural processes and cognitive processes used

Nosek et al. [36]Survey
Physical activity
Social support
Environmental factors
Impairment and functioning (SF-36 physical functioning and role limitations)
Psychological factors (SF36 mental health, role functioning emotional, self-efficacy)
Social factors
CHART short form and MOS social support survey

47.1 (10.1) years
386 F
Stroke (6.5%)
USA
National survey recruitment via disability service organisations and print and broadcast media
Psychological: self-efficacy highest for gentle flexibility, lowest for aerobic exercise 3 × per week. Physical activity significantly correlated with self-efficacy ( , )
Model predicted 33.5% of variance. Self-efficacy predicts greater involvement in physical activity, pain and duration of disability predictive of less physical activity ( ; )
Social: physical activity significantly correlated with level of personal assistance ( , )
Physically active population with 73% engaging in physical activity once a week. Self-report of physical activity
Disabled sample, self-selected, and few people with stroke

Kinne et al. [38]Survey
Sickness
Impact Scale
Stage of change
Self-rated abilities for health: self-efficacy and outcome expectancy
Barriers to health
Activities for disabled persons

Age 47 (1.4 ) years
Stroke 7% of sample
USA
Community dwelling, recruited via disability support groups
Psychological: self-efficacy significantly higher for participants maintaining exercise ( )
Motivational barriers scores significantly lower for exercise maintainers ( )
People with higher motivational barriers less likely to maintain exercise ( ). Those with higher maintenance self-efficacy higher probability of maintenance
Information about what to do a barrier to exercise behaviour ranked 4th behind impairment, money, and accessible facilities
Small proportion of sample are people with stroke
Although some participants indicated that they were less active in previous year, reasons for this not explored
External factors, access to facilities, transportation, money, social support, and physical and functional status not predictive of maintenance

Boysen et al. [41]RCT primary outcome: Physical Activity Scale for the Elderly people with stroke able to walk unassisted
Intervention group
Control group
Age 69.6 years (59.6–77.7)
<90 days after onset
Centres in Denmark, China, Poland, and Estonia stroke unitsNo significant difference between the groups on PASE at 3,6,9,12, 18 or 24 month followupSelf-reported levels of physical activity—not assessed by accelerometer, pedometer, and so forth, or by other fitness measures.
No qualitative evaluation of involvement in PA made