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Resilience is an independent correlate of the course of quality of life in patients with first-ever ischemic stroke

Published online by Cambridge University Press:  18 May 2020

Zhihui Liu ,
Xuan Zhou Open the ORCID record for Xuan Zhou [Opens in a new window] ,
Wei Zhang  and
Lanshu Zhou
Zhihui Liu
Affiliation:
Clinical Nursing Department, School of Nursing, Second Military Medical University, Shanghai, China Assisted Reproductive Department, Shanghai First Maternity and Infant Hospital, Shanghai, China
Xuan Zhou
Affiliation:
Clinical Nursing Department, School of Nursing, Second Military Medical University, Shanghai, China Nursing Department, No. 923 Hospital of Chinese People Liberation Army, Nanning, Guangxi, China
Wei Zhang
Affiliation:
Clinical Nursing Department, School of Nursing, Second Military Medical University, Shanghai, China
Lanshu Zhou*
Affiliation:
Clinical Nursing Department, School of Nursing, Second Military Medical University, Shanghai, China
*
*Correspondence should be addressed to: Lanshu Zhou, Clinical Nursing Department, School of Nursing, Second Military Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai200433, China. Phone: 021-81871511. Email: [email protected].
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Abstract

Objectives:

To explore the changes in quality of life from the acute hospitalization period to 6 months after discharge in patients with first-ever ischemic stroke and to identify the association between resilience and the course of quality of life.

Design:

A prospective longitudinal cohort study.

Setting:

This study was conducted in Shanghai, China.

Participants:

Two hundred and seventeen stroke patients were recruited for an initial questionnaire survey from two tertiary hospitals from February 2017 to January 2018.

Intervention:

None.

Measurements:

Quality of life was measured using the Stroke Scale Quality of Life. Resilience was assessed using the Connor–Davidson Resilience Scale. Other validated measurement instruments included the modified Rankin Scale and Hospital Anxiety and Depression Scale. A multilevel model was used for the analysis of repeated measurements and to determine the association between resilience and quality of life.

Results:

Quality of life scores significantly improved over the 6 months after discharge (B = 7.31, p < .0001). The multilevel model indicated that resilience was positively correlated with the course of quality of life (B = .133, p < .0001), independent of stroke severity (B = −.051, p = .0006), neurological function (B = −.577, p < .0001), hospitalization days (B = .023, p = .0099), anxiety (B = −.100, p =< .0001), depression (B = −.149, p < .0001), time (B = .360, p < .0001), and the interactions of time with hospitalization days (B = −.008, p = .0002), neurological function (B = .021, p < .0024), depression (B = −.014, p = .0273), and time (B = −.031, p < .0001).

Conclusions:

Resilience played an important role in predicting the self-reported course of quality of life in stroke patients. Our findings emphasized the reasonableness and importance of developing suitable resilience-targeted clinical strategies for improving prognosis in stroke patients.

Keywords

life qualitypsychological elasticitycerebrovascular accidentlongitudinal study
Type
Original Research Article
Information
International Psychogeriatrics , Volume 33 , Special Issue 6: Issue Theme: Diverse Strategies for Improving Seniors’ Well-Being , June 2021 , pp. 567 - 575
Copyright
© International Psychogeriatric Association 2020

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Footnotes

†

These authors contributed equally to this work and should be considered co-first authors.

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