Cardiovascular

Latent class analysis of intrinsic capacity and its association with quality of life in hospitalized older people with stroke: a cross-sectional study.

TL;DR

Three distinct intrinsic-capacity profiles were identified among hospitalized older people with stroke, and these profiles were associated with different levels of stroke-specific quality of life, with both clinical and psychosocial factors associated with profile membership.

Key Findings

Latent class analysis identified three latent classes of intrinsic capacity among hospitalized older people with stroke.

  • The sample was 314 consecutively recruited hospitalized older people with stroke, with a cross-sectional design.
  • Intrinsic capacity was assessed across five domains using the Intrinsic Capacity Assessment Tool.
  • The classes were: the low motor-low vitality group, the low cognitive-moderate vitality, psychological, and sensory group, and the function maintenance group.

The function maintenance group was the largest class, and the two impaired classes together made up under half of the sample.

  • Function maintenance group: 55.10%.
  • Low motor-low vitality group: 27.70%.
  • Low cognitive-moderate vitality, psychological, and sensory group: 17.20%.

Age, stroke severity, sleep duration, and social support were associated with membership in the low motor-low vitality group.

  • Analysis used multinomial/multivariable logistic regression to examine factors associated with latent-class membership.
  • Stroke severity was measured with NIHSS and perceived social support with the PSSS.
  • The abstract does not report effect sizes or directions for these associations.

Education level was associated with membership in the low cognitive-moderate vitality, psychological, and sensory group.

  • This was the factor identified for this class in the multinomial logistic regression.
  • Other factors (age, stroke severity, sleep duration, social support) were linked to the low motor-low vitality group rather than this class.

Stroke-specific quality of life differed significantly across the identified intrinsic-capacity classes in most domains.

  • SS-QOL scores were compared across classes using ANOVA.
  • Significant differences were observed in most SS-QOL domains (p < 0.05).
  • The abstract does not specify which domains differed or the magnitude of the differences.

Both clinical and psychosocial factors were associated with intrinsic-capacity profile membership, and the authors conclude that targeted interventions are needed.

  • Clinical factors included age, stroke severity, and sleep duration; psychosocial factors included social support and education level.
  • The authors highlight the need for targeted interventions to preserve intrinsic capacity and improve quality of life.
  • The cross-sectional design limits causal inference.

What This Means

This study looked at 314 older adults hospitalized after a stroke and asked whether they fell into distinct groups based on their overall physical and mental capacities, known as intrinsic capacity. This covers abilities such as movement, vitality, thinking, emotional well-being, and the senses. A statistical method sorted patients into three groups: about 55% maintained their function well, about 28% had low movement ability and low vitality, and about 17% had low cognitive ability but moderate vitality, psychological, and sensory function. The researchers also examined what was linked with being in each group. Older age, more severe stroke, sleep duration, and level of social support were associated with being in the low movement and low vitality group. Education level was associated with being in the group with weaker cognition. Patients in the different groups also reported different levels of stroke-specific quality of life in most areas that were measured. This research suggests that older stroke patients are not all alike in their functional strengths and weaknesses, and that grouping them this way could help in planning care that targets their particular needs. Because the study captured a single point in time, it cannot show that these factors cause the differences, and the abstract does not give detailed effect sizes. Further research would be needed to confirm the findings and test whether tailored interventions help.

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Citation

Tang X, Wu Q, Zhang X, Tang Q, Yu L. (2026). Latent class analysis of intrinsic capacity and its association with quality of life in hospitalized older people with stroke: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1905197