What this means
The co-occurrence of physical diseases, psychological disorders, and cognitive impairment-here termed physical-psychological-cognitive multimorbidity (PPC-M)-poses growing challenges to healthy aging but its upstream, modifiable determinants remain underexplored. Sensory impairments are common in later life and may be associated with the emergence of PPC-M, partly through psychosocial factors such as loneliness.
A plain-English summary is on its way. Until then, this is the start of the authors' own summary.
- Who it was tested in
- People
- Kind of research
- A study
The science
- Original title
- Sensory impairment, loneliness, and the emergence of physical-psychological-cognitive multimorbidity: a cross-national cohort study in China, the United States, and England.
- Authors
- Pan Y, Bi J, Sun L et al.
- Journal
- International journal for equity in health
- Published
- Oct 21, 2026
- Study type
- Study · in humans
- PMID
- 42902280 ↗
Abstract
Background
The co-occurrence of physical diseases, psychological disorders, and cognitive impairment-here termed physical-psychological-cognitive multimorbidity (PPC-M)-poses growing challenges to healthy aging but its upstream, modifiable determinants remain underexplored. Sensory impairments are common in later life and may be associated with the emergence of PPC-M, partly through psychosocial factors such as loneliness. This study aimed to examine the associations of vision, hearing, and dual sensory impairments with incident PPC-M and to assess whether loneliness partly explains these associations in three national ageing cohorts.
What they did
We analyzed 15,022 adults aged ≥ 45 years from three nationally representative aging cohorts-CHARLS (China), HRS (United States), and ELSA (England)-followed for 6-8 years. Vision impairment (VI), hearing impairment (HI), and dual sensory impairment (DSI) were self-reported at baseline. Incident PPC-M patterns included: physical-psychological (P1P2), physical-cognitive (P1C), psychological-cognitive (P2C), and triple comorbidity (P1P2C). We fitted Cox proportional hazards models and multi-state survival models, adjusting for demographic factors, educational level, marital status, and health behaviours. Loneliness was assessed using harmonized measures and tested as a mediator within a counterfactual mediation framework. Sensitivity analyses included propensity score matching, competing risk of death, and alternative definitions of exposures and outcomes.
What they found
At baseline, 52.8% reported no sensory impairment, 10.9% HI only, 17.2% VI only, and 19.1% DSI. A graded association emerged across PPC-M outcomes. Compared with no impairment, DSI showed the strongest associations with P1P2 (HR = 2.18), P2C (HR = 2.36), and P1P2C (HR = 1.56; 95% CI: 1.19-2.03), with VI generally showing stronger associations than HI. Results were directionally consistent across countries and robust in sensitivity analyses. Loneliness statistically accounted for approximately 10-12% of the observed associations across impairment types, suggesting a potential psychosocial explanatory pathway. Multi-state models suggested accelerated transitions from single-domain conditions to combined multimorbidity among those with DSI. Sensory impairments-especially dual impairment-were independently associated with the onset and progression of PPC-M. Loneliness accounted for a meaningful share of these associations, suggesting a potential target for risk stratification and intervention. Integrating accessible and affordable vision/hearing services with loneliness-reduction strategies may help identify older adults at elevated risk of complex multimorbidity and inform equitable healthy-aging strategies across diverse settings.
The authors' abstract, grouped under plain headings from its own section labels.
Pan Y, Bi J, Sun L et al. Sensory impairment, loneliness, and the emergence of physical-psychological-cognitive multimorbidity: a cross-national cohort study in China, the United States, and England. International journal for equity in health. 2026. doi:10.1186/s12939-026-02958-0. PMID: 42902280. https://pubmed.ncbi.nlm.nih.gov/42902280/
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