Evidence map›Paper›PMID 42656355›Full record

ArticleFrontiers in health services2026

Social connection and sociodemographic predictors of stroke caregivers' burden during COVID-19 pandemic lockdown.

Muhamad Faizzuddin Razali, Shamala Ramasamy, Shue Ling Chong, Po Ling Chen

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Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Muhamad Faizzuddin RazaliDepartment of Chiropractic, School of Alternative and Complementary Medicine, IMU University, Kuala Lumpur, Malaysia.
Shamala RamasamyDepartment of Psychology, School of Psychology and Social Services, IMU University, Kuala Lumpur, Malaysia.
Shue Ling ChongSchool of Psychology, Faculty of Science and Engineering, Semenyih, Selangor, Malaysia.
Po Ling ChenSchool of Psychology, Faculty of Science and Engineering, Semenyih, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke care demands significant effort and is heavily reliant on physical rehabilitation facilities to improve the patients' functional status. Limited access to these facilities during COVID-19 lockdown impacts patients' recovery and family caregivers' burden. The impact of COVID-19 lockdown on caregivers' duties and its potential negative effects on family caregivers' burden remained scarce. This study examined the social connections' predictors and stroke caregivers' burden during COVID-19 lockdown. Methods: This study employed a cross-sectional predictive study design and 94 unpaid informal family caregivers of stroke survivors completed an online survey. The caregivers' burden was measured using the Caregiver Burden Inventory. Social connection such as social isolation, loneliness and perceived social support was measured using the Lubben Social Network Scale, Loneliness Scale and Duke Social Support Index, respectively. Sociodemographic data were also collected and analysed. Results: Multiple linear regression analysis revealed that social support significantly predicted the stroke caregivers' burden. Social support had the major predictive effect, explaining 12% of the variance in caregivers' burden. Meanwhile, loneliness significantly predicted developmental burden and physical burden respectively. Social isolation did not significantly predict caregivers' burden. Caregivers with tertiary education reported significantly higher burden than caregivers with secondary education. Education was also a significant predictor of developmental burden, physical burden, and emotional burden. Discussion: These findings highlight that family caregivers' burden during COVID-19 lockdown is linked to their social support, loneliness, and education levels. Interventions that aim to enhance social support for caregivers could help to mitigate this issue and improve their overall wellbeing.

Indexed as

caregiving burdencorona virushealthcareinformal caregiverssocial restriction

Identifiers

PMID42656355
PMCPMC13506378

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.