# Treatment experiences, preferences, and expectations for cognitive impairments in long COVID among Chinese young and older adults: a constructivist grounded theory study

**Authors:** Dan Shan, Carol Holland, Trevor J. Crawford

PMC · DOI: 10.1186/s12916-025-04457-5 · BMC Medicine · 2025-10-23

## TL;DR

This study explores how young and older adults in China experience and manage cognitive issues from long COVID, highlighting age-related differences in treatment preferences and the need for personalized care.

## Contribution

The study introduces a new theoretical framework for understanding treatment preferences and expectations for cognitive impairments in long COVID among different age groups in China.

## Key findings

- Young adults prefer non-pharmacological strategies and emotional support to manage cognitive impairments.
- Older adults favor a balanced approach combining pharmacological and non-pharmacological interventions with family support.
- Both groups emphasize the importance of improved sleep and psychological health in managing long COVID.

## Abstract

Cognitive impairments associated with long COVID disrupt daily functioning and psychological well-being. While increasing research has examined prevalence and mechanisms, little is known about patients’ treatment experiences, preferences, and expectations. In the absence of validated effective treatments, integrating these perspectives is essential for guiding research priorities and clinical trial design. In China, where long COVID is an emerging public health concern, awareness of cognitive impairments remains limited and access to specialised care is inadequate. Considering potentially substantial differences in baseline health and treatment expectations between young and older adults, this study aimed to explore and compare their perspectives using a qualitative approach.

We adopted constructivist grounded theory to capture participants’ lived experiences and develop a theory grounded in their narratives. Semi-structured online interviews were conducted with 23 individuals recruited via Chinese social media long COVID mutual aid groups, including 10 young adults (18–39 years) and 13 older adults (≥ 60 years). Theoretical sampling guided recruitment and iterative analysis through initial, focused, and theoretical coding, leading to the development of a framework explaining treatment preferences and expectations.

All participants reported cognitive impairments based on self-perception, with no formal medical diagnoses. We constructed a theoretical framework of “Individualised and Dynamic Adaptation to Cognitive Challenges”. Preferences and expectations could be shaped by age, symptom severity, prior management experiences, lifestyle, doctor–patient interactions, and health literacy. Young adults showed a strong preference for non-pharmacological strategies, including self-directed approaches and emotional support to address stigma. Older adults emphasised a balanced use of pharmacological and non-pharmacological interventions, supported by family and structured routines, while expressing holistic expectations that encompassed cognitive, physical, and emotional well-being. Across both groups, improved sleep and psychological health were consistently emphasised.

Age-specific differences highlighted the heterogeneity of long COVID experiences and underscored the need for dynamic, patient-centred approaches. Tailored interventions that integrate patient perspectives may enhance care quality and outcomes. Holistic care, particularly for older adults who may face additional comorbidities and functional challenges, is essential. In China, increasing awareness among the public and healthcare providers, reducing stigma, and addressing inequalities in care access should be prioritised.

The online version contains supplementary material available at 10.1186/s12916-025-04457-5.

## Full-text entities

- **Diseases:** Cognitive impairments (MESH:D003072), long COVID (MESH:D000094024)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

2 references — full list in the complete paper: https://tomesphere.com/paper/PMC12548172/full.md

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Source: https://tomesphere.com/paper/PMC12548172