Prevalence and Influencing Factors of Sedentary Behavior in Community Stroke Patients
BackgroundAs a kind of unhealthy lifestyle, sedentary behavior is closely related to poor prognosis of stroke patients. So it is of great significance to understand sedentary behavior prevalence in stroke patients, and to formulate intervention measures based on its influencing factors.ObjectiveTo i...
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| Format: | Article |
| Language: | zho |
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Chinese General Practice Publishing House Co., Ltd
2022-03-01
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| Series: | Zhongguo quanke yixue |
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| Online Access: | https://www.chinagp.net/fileup/1007-9572/PDF/yx202200013.pdf |
| _version_ | 1827289922647621632 |
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| author | FU Zhongrong, ZHANG Zhenxiang, LIN Beilei, MEI Yongxia, WANG Wenna |
| author_facet | FU Zhongrong, ZHANG Zhenxiang, LIN Beilei, MEI Yongxia, WANG Wenna |
| author_sort | FU Zhongrong, ZHANG Zhenxiang, LIN Beilei, MEI Yongxia, WANG Wenna |
| collection | DOAJ |
| description | BackgroundAs a kind of unhealthy lifestyle, sedentary behavior is closely related to poor prognosis of stroke patients. So it is of great significance to understand sedentary behavior prevalence in stroke patients, and to formulate intervention measures based on its influencing factors.ObjectiveTo investigate sedentary behavior prevalence and associated factors in stroke patients in the community, providing a reference for the development of targeted interventions.MethodsFrom August to December 2020, by use of convenience sampling, 230 eligible community stroke patients from Zhengzhou (including individuals who underwent reexaminations in neurology and neurosurgery clinics of three grade A tertiary hospitals and those who were from three communities) were selected to attend a survey using Demographic Questionnaire, Sedentary Behavior Questionnaire, the Chinese version of Fatigue Severity Scale, the Chinese version of Stroke Self-Efficacy Questionnaire, and Social Support Scale. Binary Logistic regression analysis was used to explore associated factors of sedentary behavior.ResultsThe survey achieved a response rate of 97.8%. The average daily sedentary time of the respondents was (7.10±2.75) hours, and 179 cases (79.6%) had daily sedentary time ≥5 hours. The daily sedentary time differed significantly by age, living in rural or urban areas, education level, number of complications, number of chronic diseases and fatigue (P<0.05) . Binary Logistic regression analysis showed that age, number of complications, number of chronic diseases and fatigue had significant impacts on sedentary behavior (P<0.05) .ConclusionThe prevalence of sedentary behavior in community-dwelling patients with stroke was high. It is recommended that health managers develop targeted interventions measures based on the above factors associated with sedentary behavior, thereby reducing sedentary behavior prevalence in this group. |
| first_indexed | 2024-04-24T11:59:17Z |
| format | Article |
| id | doaj.art-fd708a40d1684a219cc1f52868362bb2 |
| institution | Directory Open Access Journal |
| issn | 1007-9572 |
| language | zho |
| last_indexed | 2024-04-24T11:59:17Z |
| publishDate | 2022-03-01 |
| publisher | Chinese General Practice Publishing House Co., Ltd |
| record_format | Article |
| series | Zhongguo quanke yixue |
| spelling | doaj.art-fd708a40d1684a219cc1f52868362bb22024-04-09T02:51:45ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722022-03-01250784685010.12114/j.issn.1007-9572.2022.00.013Prevalence and Influencing Factors of Sedentary Behavior in Community Stroke PatientsFU Zhongrong, ZHANG Zhenxiang, LIN Beilei, MEI Yongxia, WANG Wenna0 School of Nursing and Health，Zhengzhou University，Zhengzhou 450001，China *Corresponding author：ZHANG Zhenxiang，Professor，Doctoral supervisor；E-mail：zhangzx6666@126.com BackgroundAs a kind of unhealthy lifestyle, sedentary behavior is closely related to poor prognosis of stroke patients. So it is of great significance to understand sedentary behavior prevalence in stroke patients, and to formulate intervention measures based on its influencing factors.ObjectiveTo investigate sedentary behavior prevalence and associated factors in stroke patients in the community, providing a reference for the development of targeted interventions.MethodsFrom August to December 2020, by use of convenience sampling, 230 eligible community stroke patients from Zhengzhou (including individuals who underwent reexaminations in neurology and neurosurgery clinics of three grade A tertiary hospitals and those who were from three communities) were selected to attend a survey using Demographic Questionnaire, Sedentary Behavior Questionnaire, the Chinese version of Fatigue Severity Scale, the Chinese version of Stroke Self-Efficacy Questionnaire, and Social Support Scale. Binary Logistic regression analysis was used to explore associated factors of sedentary behavior.ResultsThe survey achieved a response rate of 97.8%. The average daily sedentary time of the respondents was (7.10±2.75) hours, and 179 cases (79.6%) had daily sedentary time ≥5 hours. The daily sedentary time differed significantly by age, living in rural or urban areas, education level, number of complications, number of chronic diseases and fatigue (P<0.05) . Binary Logistic regression analysis showed that age, number of complications, number of chronic diseases and fatigue had significant impacts on sedentary behavior (P<0.05) .ConclusionThe prevalence of sedentary behavior in community-dwelling patients with stroke was high. It is recommended that health managers develop targeted interventions measures based on the above factors associated with sedentary behavior, thereby reducing sedentary behavior prevalence in this group.https://www.chinagp.net/fileup/1007-9572/PDF/yx202200013.pdf|sedentary behavior|stroke|root cause analysis |
| spellingShingle | FU Zhongrong, ZHANG Zhenxiang, LIN Beilei, MEI Yongxia, WANG Wenna Prevalence and Influencing Factors of Sedentary Behavior in Community Stroke Patients Zhongguo quanke yixue |sedentary behavior|stroke|root cause analysis |
| title | Prevalence and Influencing Factors of
Sedentary Behavior in Community Stroke Patients |
| title_full | Prevalence and Influencing Factors of
Sedentary Behavior in Community Stroke Patients |
| title_fullStr | Prevalence and Influencing Factors of
Sedentary Behavior in Community Stroke Patients |
| title_full_unstemmed | Prevalence and Influencing Factors of
Sedentary Behavior in Community Stroke Patients |
| title_short | Prevalence and Influencing Factors of
Sedentary Behavior in Community Stroke Patients |
| title_sort | prevalence and influencing factors of sedentary behavior in community stroke patients |
| topic | |sedentary behavior|stroke|root cause analysis |
| url | https://www.chinagp.net/fileup/1007-9572/PDF/yx202200013.pdf |
| work_keys_str_mv | AT fuzhongrongzhangzhenxianglinbeileimeiyongxiawangwenna prevalenceandinfluencingfactorsofsedentarybehaviorincommunitystrokepatients |