Factors Related to Performance-Based Mobility and Self-reported Physical Activity in Individuals 1-3 Years after Stroke: A Cross-sectional Cohort Study

Vahlberg, Birgit; Cederholm, Tommy; Lindmark, Birgitta; Zetterberg, Lena; Hellström, Karin

doi:10.1016/j.jstrokecerebrovasdis.2013.04.028

Cited by 49 publications

(32 citation statements)

References 41 publications

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“…Our results confirmed a significant and independent effect of CV diseases, hypertension, diabetes mellitus, hip fracture, malignancy, mental illness, and neurologic disorders on walking difficulty (21,23,(39)(40)(41)(42)(43)(44). However, the effects of these conditions were relatively small after controlling for OA, BMI, and PVD.…”

supporting

confidence: 80%

Impact of Osteoarthritis on Difficulty Walking: A Population‐Based Study

King

Kendzerska

Waugh

et al. 2017

Arthritis Care & Research

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Objective. To assess the relationship of hip and knee osteoarthritis (OA) to walking difficulty. Methods. A population cohort ages ≤55 years recruited from 1996 to 1998 (n = 28,451) completed a standardized questionnaire assessing demographics, health conditions, joint symptoms, and functional limitations, including difficulty walking in the past 3 months. Survey data were linked to health administrative databases; self-report and administrative data were used to identify health conditions. Hip/knee OA was defined as self-reported swelling, pain, or stiffness in a hip or knee lasting ≥6 weeks in the past 3 months without an inflammatory arthritis diagnosis. Using multivariable logistic regression, we examined the determinants of walking difficulty and constructed a clinical nomogram. Results. A total of 18,490 cohort participants were eligible (mean age 68 years, 60% women), and 25% reported difficulty walking. Difficulty walking was significantly and independently associated with older age, female sex, body mass index, and several health conditions. Of the conditions examined, the likelihood of walking difficulty was greatest with hip and knee OA and increased with the number of hip/knee joints affected. The predicted probability of difficulty walking for a 60-year-old middle-income, normal-weight woman was 5-10% with no health conditions, 10-20% with diabetes mellitus and cardiovascular (CV) disease, 40% with OA in 2 hips/knees, 60-70% with diabetes mellitus, CV disease, and OA in 2 hips/knees, and 80% with diabetes mellitus, CV disease, and OA in all hips/knees. Conclusion. In a population cohort, symptomatic hip/knee OA was the strongest contributor to walking difficulty. Given the importance of walking to engagement in physical activity for chronic disease management, greater attention to OA is warranted.

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supporting

confidence: 80%

Impact of Osteoarthritis on Difficulty Walking: A Population‐Based Study

King

Kendzerska

Waugh

et al. 2017

Arthritis Care & Research

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“…Because the calculated effect size (0.69) and minimal detectable change for 6MWT in chronic stroke individuals is 34-37 m, the clinical relevance of the effect observed here may be questionable. [40][41][42][43] Despite weight loading, half of the exercises performed by the IG were directed toward improving balance and were less directed toward gaining muscle mass and strength. Balance exercises are important and recommended because falls, fear of falling and balance limitations are common among older individuals post-stroke and can lead to reduced functional capacity during daily activities.…”

Section: Discussionmentioning

confidence: 99%

Body composition and physical function after progressive resistance and balance training among older adults after stroke: an exploratory randomized controlled trial

Vahlberg

Lindmark

Zetterberg

et al. 2016

Disability and Rehabilitation

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Three-month progressive resistance and balance training was associated with reduced fat mass, which was related to improvements in walking capacity in older adults approximately one year after stroke. Implications for rehabilitation This three-month PRB group exercise program supported by motivational discussions and daily home-based exercises indicate the following: • Improved walking capacity was associated with a reduction in fat mass. • IGF-1 is reduced, possibly indicating improved insulin sensitivity.

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“…[3] It is found that patients with stroke at this stage have a high potential for rehabilitation, rapid recovery of limb movements and function, and rejuvenation treatment is more effective in many clinical trials of patients with stroke ranging from three to six months after the onset of stroke. [4] This period refers to "rapid restoration of function", commonly known as "Key rehabilitation period". Nevertheless, Kakuda et al [5] attempted to rehabilitate 204 patients with chronic stroke with a mean incidence of 5 years, using repetitive transcranial magnetic stimulation (rTMS) combined with high-frequency functional therapy.…”

Section: Introductionmentioning

confidence: 99%

“…Many previous studies have focused on demographic characteristics, and differences in past history have been used to explore the explanatory power of stroke progression. [4] Although Lenze et al [17] explored the effect of rehabilitation on the prognosis of patients with stroke, the evidence is limited if only short-term functional prognosis is considered. On the other hand, because the clinical sample collection is not easy, many studies are only able to grasp long-term patients in the same hospital, once the patient to change the hospital, the accuracy of the study will be ignored it.…”

Section: Introductionmentioning

confidence: 99%

Predicting rehabilitation treatment helpfulness to stroke patients: A supervised learning approach

Tseng

2017

AIR

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Stroke (Cerebral vascular accident, CVA) is a common and serious disease. Most of the survivals would be disabled after their illness recovery, causes serious burden on caregivers. It is said that rehabilitation could help functional recovery of stroke patients, regain independence after stroke. Due to the long course of stroke, how to prevent survivals from recurrence is an important issue. This study attempts to examine the relationship between stroke recurrence and strength of rehabilitation, and build a stroke recurrence prediction model utilizing a number of supervised learning techniques to assist physicians with making clinical decisions.In the past, most of the related work used the samples from a single hospital as a sample, but it cannot fully catch all the clinic information of the patients. Therefore, this study used the Longitudinal Health Insurance Database 2010 of the NHIRD as the data source, to examine the effectiveness of rehabilitation.In terms of accuracy rate of all classifiers, we get the best effectiveness (78%) while adopting the inpatient admission dataset and C4.5 to predict recurrence. We also find physical therapy, occupational therapy and speech therapy treatments during inpatient admission are the key factors to decrease the chance to recrudesce in the rehabilitation periods. The higher strength and frequency rehabilitation treatment is also the key influence variables in our high accuracy prediction model which means that is useful to lower the recurrence rate of stroke patients.

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Factors Related to Performance-Based Mobility and Self-reported Physical Activity in Individuals 1-3 Years after Stroke: A Cross-sectional Cohort Study

Cited by 49 publications

References 41 publications

Impact of Osteoarthritis on Difficulty Walking: A Population‐Based Study

Impact of Osteoarthritis on Difficulty Walking: A Population‐Based Study

Body composition and physical function after progressive resistance and balance training among older adults after stroke: an exploratory randomized controlled trial

Predicting rehabilitation treatment helpfulness to stroke patients: A supervised learning approach

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