Background: Depression and anxiety are common in stroke survivors as well as their family caregivers. However, it is not known whether each person’s emotional distress contributes to their partner’s quality of life (QOL). 

Objective: This study aimed to examine the effect of depression and anxiety on QOL in stroke survivor-caregiver dyads using dyadic analysis technique - the Actor-Partner Interdependence Model (APIM).  

Methods: This was a cross-sectional pilot study with a total of 30 participating dyads (30 stroke survivors and 30 family caregivers) from Hospital Rehabilitasi Cheras, Kuala Lumpur, Malaysia. This pilot study was conducted over a period of 3 months, between December 2014 and February 2015. Depression and anxiety were assessed using the Hospital Anxiety and Depression Scale (HADS). QOL was assessed using the Short Form-12 Health Survey (SF-12). All analyses were carried out using IBM SPSS version 22. Dyadic data were analysed using multilevel modelling (MLM).

Results: Depression was uniquely associated with an individual’s own QOL. Survivors and caregivers with higher depression had poorer physical component summary (PCS) scores and mental component summary (MCS) scores. Stroke survivor’s depression exerted a significant actor effect on their PCS (b=-1.42, p=0.001) and MCS (b=-1.52, p<0.001). Caregiver’s depression exerted a significant actor effect on their PCS (b=-2.53, p<0.001) and MCS (b=-1.51, p=0.004). Caregivers’ anxiety negatively influenced their own MCS (b=-0.58, p=0.031). Furthermore, depression exerted a significant partner effect on PCS in stroke survivors (b=-1.19, p=0.003). Caregivers’ depression was also related to their stroke survivors’ poorer QOL, particularly PCS.

Conclusion: The findings suggest that depression affects the QOL of both stroke survivors and caregivers, not only emotionally but also physically. This dyadic study also has evidence pointing to depression in caregivers and its association with stroke survivors’ physical QOL.


Keywords: Malaysia, Quality of life, Stroke, Anxiety, Depression, Caregivers
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Current Issue

July-September 2019 (Volume 11, Issue 3)


Previous Issue

In the second issue of the journal Electronic Physician for 2019, we have several papers including four Randomized Controlled Trials, a model development study, a case report, an editorial, a letter to editor (LTE), and several original research including two studies with qualitative approach. Authors of this issue are from nine countries: Iran, The Netherlands, Sweden, Italy, India, Thailand, Saudi Arabia, United Arab Emirates (UAE), and Jordan. Read more...


The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


TDR Clinical Research and Development Fellowships

Call for applications

Deadline for submission: 7 March 2019, 16:00 (GMT)

TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:

Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019

Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).

About the Instructor

Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: