Literature DB >> 26644640

Health-related quality of life of community-dwelling stroke survivors: a comparison of fallers and non-fallers.

Eunkyoung Hong1.   

Abstract

[Purpose] The purpose of this study was to compare the health-related quality of life (HRQOL) of stroke survivors between fallers and non-fallers. [Subjects] The subjects were community-dwelling stroke patients (n = 4,560) in South Korea. All stroke patients were diagnosed by a doctor. [Methods] This study used raw data from the 2014 Korean Community Health Survey. The survey was conducted from August 16, 2014, to October 31, 2014. Trained surveyors visited households selected from the sample and conducted face-to-face interviews. The content of the survey included demographic data and HRQOL.
[Results] Fallers were 1,425 (31.25%), non-fallers 3,125 (68.53%), and 10 (0.22%) answered unknown. Gender, living status, occupation, and smoking experience differed significantly between the fallers and non-fallers. The domains of HRQOL, excluding VAS, also differed significantly between the fallers and non-fallers.
[Conclusion] These results provide important base data for rehabilitation services for fallers among stroke survivors.

Entities:  

Keywords:  Fall; Health-related quality of life; Stroke

Year:  2015        PMID: 26644640      PMCID: PMC4668131          DOI: 10.1589/jpts.27.3045

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

Falls are a serious complication after suffering a stroke, with up to 76% of stroke survivors experience falls1, 2). Falls are extremely common at all recovery stages after a stroke3). Stroke survivors who have fallen have an increased incidence of serious adverse outcomes, including loss of self-confidence in ability to perform daily activities, fractures, depression, and mortality, compared with adults who have not suffered a stroke4, 5). Serious fall injuries become aggravating factors in health-related quality of life (HRQOL), putting limitations on mobility, necessitating admission to nursing homes, and increasing health-care expenditures6, 7). HRQOL combines the concepts of health status and quality of life (QOL)8). HRQOL refers to an individual’s perceived physical and mental health, and an assessment of HRQOL helps us understand the association between health and daily life functioning9). Although stroke patients may recover most of their physical functions, their QOL decreases 40% compared with before stroke10). In addition, they report lower HRQOL than the general population11). Falls and HRQOL of older adults have been studied; however, the literature is limited regarding differences between fallers and non-fallers and the direct influence of falls on stroke patients3, 12,13,14,15,16). Identifying the relationship between falls and HRQOL of stroke patients would provide important base data for rehabilitation services. This study compared the HRQOL of stroke survivors between fallers and non-fallers in to increase favorable outcomes.

SUBJECTS AND METHODS

This study used raw data from the 2014 Korean Community Health Survey (KCHS). The survey was conducted from August 16, 2014, to October 31, 2014, by the Korean Centers for Disease Control and Prevention (KCDCP). The KCHS uses a cross-sectional design to extract data from health centers in South Korea. The protocol of KCHS was reviewed and approved by the institutional review board of the KCDCP (2013-06EXP-01-3C). This study used the data for the subset of community-dwelling stroke patients (n = 4,560) diagnosed by a doctor. Trained surveyors visited households selected from the sample and conducted face-to-face interviews with a computer notebook loaded with survey. The content of the survey included demographic data and the EQ-5D-3L (3 level version of the EuroQoL 5- dimensional questionnaire). The demographic questions addressed age, gender, living status, occupation, experience of smoking, exprience of drinking, participation in hard physical activities (e.g., exercise such as running, riding a bicycle quickly, fast swimming, and carrying heavy objects for more than 10 minutes in a normal a week), participation in moderate physical activity (e.g., exercise such as slow swimming, playing table tennis, badminton, and carrying light objects for more than 10 minutes in a normal a week), and participation in walking (e.g., walking to work or school, and exercise for more than 10 minutes in a normal a week). The EQ-5D-3L is a generic measure of health status widely used in a variety of patient populations17). It defines health in terms of five domains: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each domain is scored on a 3-point Likert scale: no problem (1), a moderate problem (2), or an extreme problem (3). In addition, the subjects rate their overall health on a visual analogue scale (VAS) from 0 (worst imaginable health state) to 100 (best state). The collected data were analyzed using a complex sampling design and SPSS Statistics 21.0 software (IBM Corporation, Armonk, NY, USA). Individual weights were applied to estimate the population. The χ2 test was performed to identify differences in the demographic distributions of fallers and non-fallers. A general linear model was used to compare HRQOL between the fallers and non-fallers. The significance level used in statistical testing was α = 0.05.

RESULTS

Among the 4,560 stroke survivors who were studied, 1,425 (31.25%) reported falls during the 1 year period. For the remaining subjects, 3,125 (68.53%) reported no falls and 10 (0.22%) answered unknown. In the demographic distribution, gender (p = 0.000), living status (p = 0.001), occupation (p = 0.012), and experience of smoking (p = 0.001) differed significantly between the fallers and non-fallers (Table 1). The domains of HRQOL, excluding VAS, also differed significantly between the fallers and non-fallers. The means of the fallers were higher than those of the non-fallers in each domain (mobility = 0.183, p = 0.000, self care = 0.184, p = 0.000, usual activities = 0.031, p = 0.000, pain/discomfort = 0.280, p = 0.000, anxiety/depression = 0.232, p = 0.000) (Table 2).
Table 1.

Characteristics of the subjects

ParametersFallersNon-fallers


n (%)n (%)
Age19–65343 (32.4)815 (67.6)
≥ 651,082 (34.2)2,320 (65.8)
Gender*Male632 (29.3)1,675 (70.7)
Female793 (38.8)1,460 (61.2)
Living status*Living alone858 (31.2)2,168 (68.8)
Living with spouse567 (38.3)967 (61.7)
Occupation*Employed346 (29.1)970 (70.9)
Unemployed1,079 (35.2)2,165 (64.8)
Experience of drinkingYes961 (32.9)2,151 (67.1)
No464 (35.4)984 (64.6)
Experience of smoking*Yes580 (29.9)1,455 (70.1)
No845 (36.8)1,678 (63.2)
Participation in hard physical activityYes149 (31.9)356 (68.1)
No1,276 (33.8)2,777 (66.2)
Participation in moderate physical activityYes286 (32.4)660 (67.6)
No1,139 (33.9)2,472 (66.1)
Participation in walkingYes872 (33.7)1,917 (66.3)
No553 (33.3)1,217 (66.7)

*p<0.05

Table 2.

Difference of HRQOL between fallers and non-fallers

HRQOLParametersMeanEstimate (SE)95% CI
Mobility*Fallers1.7980.183 (0.026)0.131–0.234
Non-fallers1.6151 (ref.)
Self-care*Fallers1.5820.184 (0.031)0.123–0.245
Non-fallers1.3981 (ref.)
Usual activities*Fallers1.7810.203 (0.031)0.143–0.263
Non-fallers1.5781 (ref.)
Pain/discomfort*Fallers2.0180.280 (0.033)0.214–0.345
Non-fallers1.7381 (ref.)
Anxiety/depression*Fallers1.6310.232 (0.032)0.170–0.294
Non-fallers1.3991 (ref.)
VASFallers59.777−4.785 (3.465)−11.577–2.006
Non-fallers64.5621 (ref.)

*p<0.05. SE: standard error; ref.: reference or baseline; CI: confidence interval

*p<0.05 *p<0.05. SE: standard error; ref.: reference or baseline; CI: confidence interval

DISCUSSION

This study identified differences in the HRQOL of stroke survivors between fallers and non-fallers. The results show that 31.25% of the survey population experienced falls during the 1 year period. This fall incidence is lower than the 76% previously reported for post-stroke populations1, 2), however, similar results were reported by Schmid et al18). A possible explanation for the difference may be that this study included only community-dwelling adults and excluded in-patients in acute or rehabilitation hospitals. It was reported that in acute-care settings, 3.8 to 22.0% of in-patients experienced falls while 10.5 to 47.0% of in-patients experienced falls in rehabilitation hospitals19). Regarding the demographic distribution, the faller group contained more females than males and more unemployed than employed subjects. Yoo20) reported falls occurred more often among women than among men. Another study of older adults in the community also found that women were more likely to fall than men, and that those participating in economic activity were more likely to fall than those who were not15), but the differences were not significant. The results of other studies of older adults and people without a history of stroke contradict those of the present study14, 21, 22). The HRQOL results of fallers and non-fallers were similar to those of previous studies14, 21). In particular, the study of Choo et al.14), which used a short form-8 health survey to assess various subdomains of HRQOL, found there were significant differences in physical function, bodily pain, social function, role functioning-emotional, and mental health. In addition, bodily pain showed the highest difference between the two groups, similar to the results of the present study. Fallers and non-fallers among community-dwelling stroke survivors and older adults exhibited differences in HRQOL. Thus, falls are an important factor in HRQOL. The current study had some limitations. First, the study excluded stroke patients in hospital and those who had died as a result of a fall. Also, the results do not reflect the opinions and situations of all those who had suffered a stroke. However, as the subjects were selected from a systematically randomized sample by trained surveyors, the potential for generalization to the community-dwelling stroke population is strong. Second, the results do not distinguish between cause and effect of variables related to falls because of the cross-sectional design. Further studies with a longitudinal design are needed to identify the cause and effect of falls and consider variables such as the number of falls, fear of falling, and circumstances of falls.
  16 in total

1.  Circumstances and consequences of falls in independent community-dwelling older adults.

Authors:  W P Berg; H M Alessio; E M Mills; C Tong
Journal:  Age Ageing       Date:  1997-07       Impact factor: 10.668

Review 2.  An integrative review of factors associated with falls during post-stroke rehabilitation.

Authors:  Grace B Campbell; Judith Tabolt Matthews
Journal:  J Nurs Scholarsh       Date:  2010-10-13       Impact factor: 3.176

3.  Falls in the elderly: a prospective study of risk factors and risk profiles.

Authors:  W C Graafmans; M E Ooms; H M Hofstee; P D Bezemer; L M Bouter; P Lips
Journal:  Am J Epidemiol       Date:  1996-06-01       Impact factor: 4.897

4.  Higher incidence of falls in long-term stroke survivors than in population controls: depressive symptoms predict falls after stroke.

Authors:  Lone Jørgensen; Torgeir Engstad; Bjarne K Jacobsen
Journal:  Stroke       Date:  2002-02       Impact factor: 7.914

5.  [A European measure of health: the EuroQol].

Authors:  J L Pinto Prades
Journal:  Rev Enferm       Date:  1993-10

Review 6.  Falls in individuals with stroke.

Authors:  Vivian Weerdesteyn; Mark de Niet; Hanneke J R van Duijnhoven; Alexander C H Geurts
Journal:  J Rehabil Res Dev       Date:  2008

7.  Health related quality of life in coronary patients and its association with their cardiovascular risk profile: results from the EUROASPIRE III survey.

Authors:  Delphine De Smedt; Els Clays; Lieven Annemans; Frank Doyle; Kornelia Kotseva; Andrzej Pająk; Christof Prugger; Catriona Jennings; David Wood; Dirk De Bacquer
Journal:  Int J Cardiol       Date:  2012-11-30       Impact factor: 4.164

8.  Incidence and consequences of falls due to stroke: a systematic inquiry.

Authors:  A Forster; J Young
Journal:  BMJ       Date:  1995-07-08

9.  Injurious falls in nonambulatory nursing home residents: a comparative study of circumstances, incidence, and risk factors.

Authors:  P B Thapa; K G Brockman; P Gideon; R L Fought; W A Ray
Journal:  J Am Geriatr Soc       Date:  1996-03       Impact factor: 5.562

10.  The Effects of Augmented Reality-based Otago Exercise on Balance, Gait, and Falls Efficacy of Elderly Women.

Authors:  Ha-Na Yoo; Eunjung Chung; Byoung-Hee Lee
Journal:  J Phys Ther Sci       Date:  2013-08-20
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