Life Space Assessment in Stroke Patients

Yang, You-Na; Kim, Boram; Uhm, Kyeong Eun; Kim, Soo Jin; Lee, Seung Hwan; Oh‐Park, Mooyeon; Lee, Jongmin

doi:10.5535/arm.2017.41.5.761

Cited by 23 publications

(34 citation statements)

References 21 publications

(29 reference statements)

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“…The instrument has excellent test–retest reliability (ICC = 0.95–0.97) [ 42 ]. In stroke survivors, the test–retest reliability in terms of the kappa statistic was found to be 0.99 [ 43 ]. A Cantonese version, which was translated from the original English version [ 42 ] based on Beaton et al’s guidelines [ 44 ], was adopted in this study.…”

Section: Methodsmentioning

confidence: 99%

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Lai

2021

BMC Neurol

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Background The prevalence of fatigue and sleep disturbances is high in stroke populations. Sleep quality can be targeted by interventions to alleviate fatigue following a stroke. This study aimed to determine the prevalence of fatigue and poor sleep quality, and to quantify the contribution of sleep quality to fatigue following a stroke, in chronic (≥1 year) stroke survivors. Methods A cross-sectional design was adopted. A total of 112 stroke survivors (mean age ± standard deviation [year], 64.18 ± 5.77) at 6.08 ± 4.80 years post-stroke completed this study. All participants were assessed using the Fatigue Assessment Scale, the Pittsburgh Sleep Quality Index, the Visual Analogue Scale-Pain, the Fugl-Meyer Assessment of the upper and lower extremities, the 5-Time Sit-To-Stand Test, the Epworth Sleepiness Scale, the Frenchay Activities Index, the Life-Space Assessment, the Community Integration Measure, and the Multidimensional Scale of Perceived Social Support. Pearson and partial correlation coefficients were used to examine the correlation between fatigue and other variables. A multiple linear regression (the forced entry method) was performed to quantify the independent contribution of sleep quality to prediction of fatigue. Results Of the 112 participants, 52.7% reported experiencing fatigue and 64.3% reported poor sleep quality. Sleep quality could independently account for 5.9% of the variance in fatigue scores after a stroke. Conclusions There is a high prevalence of fatigue and poor sleep quality in Chinese stroke survivors. Sleep quality is an independent predictor of fatigue in those living in the community who have survived a stroke for a year or longer.

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Section: Methodsmentioning

confidence: 99%

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Lai

2021

BMC Neurol

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“…LSA scores correlate positively with physical performance and self-reported health (r s = 0.42–0.60), and negatively with functional measures, comorbid conditions, and depressive symptoms (r s = − 0.91 to − 0.41) in older people 8 . Among outpatients with stroke in a medical center, the test–retest reliability in terms of the kappa statistic has been shown to be 0.99, and LSA scores also correlate significantly with the scores of Functional Ambulation Categories (r = 0.85) and the mobility subscale of the Functional Independence Measure (r = 0.76) 10 . A lower life-space score has been found to be significantly associated with stroke in older Mexican-Americans 11 .…”

Section: Introductionmentioning

confidence: 99%

Psychometric properties testing of a Cantonese version of the Life-Space Assessment in people with stroke

Lai

2021

Sci Rep

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The Life-Space Assessment (LSA) advances measurements of mobility by determining the extent of the spatial area in which a person moves in real life. Yet there is no Cantonese version of the LSA. This study aimed to translate and culturally adapt the LSA into Cantonese (C-LSA) and examine its psychometric properties in people with stroke. Psychometric properties were examined in 112 people with stroke. The life-space of stroke survivors was compared with that of healthy older people with and without depressive symptoms. The content validity of the C-LSA was good. The Cronbach’s α was 0.73. The test–retest reliability was 0.95. The standard error of measurement was 4.21 and the minimal detectable change was 11.66, without any ceiling or floor effects in the C-LSA composite score. The composite score correlated significantly with the Fugl-Meyer Assessment of lower extremities score (rs = 0.31), the Five Times Sit-To-Stand time (rs = − 0.43), and the Frenchay Activities Index score (rs = 0.48). People with stroke had significantly lower C-LSA composite scores than healthy older people. Depressive symptoms worsened the composite and assisted life-space scores only of people with stroke. The C-LSA is a reliable and valid tool for measuring life-space in stroke populations.

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“…Frailty was initially assessed using Life Space Level (LSL). LSL is a component of the Life Space Assessment Score [10], which is widely used in the functional assessment of elderly patients [18–20]. LSL was scored by asking a patient how far he/she could move independently without limitations before the onset of the symptoms of critical illnesses, and it ranged from one’s bedroom (score = 0) to one’s town (score = 5).…”

Section: Methodsmentioning

confidence: 99%

Relationship between community walking ability and in-hospital mortality in elderly patients with sepsis: a single-center retrospective cohort study

et al. 2019

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Purpose To examine the association of a simple frailty assessment, Life Space (LS), with in-hospital mortality in elderly patients with sepsis. Methods We used data from a single hospital between 2014 and 2017. We included elderly patients (age ≥ 65 years) admitted to the intensive care unit (ICU) with sepsis, as defined by sepsis-3 criteria. Frailty assessment was based on a patient’s ability to independently go out of the house before the ICU admission. We termed this dichotomous score as Life Space. The primary outcome was in-hospital mortality. Logistic regression was used to investigate the association of LS with each outcome after adjusting for age, sex, and Sequential Organ Failure Assessment score. Results Of the 335 participants included in the final analysis, 121 (36%) were classified as frail. LS-positive patients had a higher in-hospital mortality (adjusted odds ratio (aOR) 2.32; 95% confidence interval (CI) 1.36–3.96; P = 0.002) than did LS-negative patients. We observed similar patterns in six sets of sensitivity analyses after accounting for different confounders. In subgroup analyses, significant interactions were observed in participants with versus those without treatment limitations (aOR 1.02 vs. 2.66, P for interaction = 0.042). Conclusions In this single-center study, frailty assessed by LS was independently associated with a higher in-hospital mortality. Electronic supplementary material The online version of this article (10.1186/s40560-019-0385-1) contains supplementary material, which is available to authorized users.

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Life Space Assessment in Stroke Patients

Cited by 23 publications

References 21 publications

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Psychometric properties testing of a Cantonese version of the Life-Space Assessment in people with stroke

Relationship between community walking ability and in-hospital mortality in elderly patients with sepsis: a single-center retrospective cohort study

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