# Association between multimorbidity patterns and activities of daily living function among older adults in China: a longitudinal population-based cohort study

**Authors:** Rui Li, Bizhong Che, Wenjuan Xiao, Jing Shu, Xiaowei Ma, Yanan Wang, Peng Nie, Youfa Wang, Xiaomin Sun

PMC · DOI: 10.1186/s12877-025-06567-4 · BMC Geriatrics · 2025-11-10

## TL;DR

This study finds that having multiple chronic diseases in older adults in China is linked to a higher risk of losing the ability to perform daily living activities, with differences based on where they live and their education level.

## Contribution

The study identifies specific multimorbidity patterns and shows how sociodemographic factors modify their impact on daily living disability.

## Key findings

- Four multimorbidity patterns were identified: visceral-skeletal, respiratory system, neurodegenerative, and cardiometabolic diseases.
- Neurodegenerative diseases showed the strongest association with disability in activities of daily living.
- Sociodemographic factors like urban residence and education level modified the relationship between multimorbidity and disability.

## Abstract

Older individuals are vulnerable to multiple non-communicable chronic diseases, leading to an increased risk of a decline in activities of daily living (ADLs) disability. Whether this association is affected by sociodemographic factors remains unclear. This study aimed to identify multimorbidity patterns and explore their association with ADLs.

This study included 14,018 older adults (≥ 60 years) from five waves of the China Health and Retirement Longitudinal Study (2011–2020). Multimorbidity patterns were identified among 13 non-communicable chronic diseases using exploratory factor analysis. Associations between multimorbidity patterns and ADLs (basic ADL, BADL; instrumental ADL, IADL) were examined using mixed-effects models. Stratified and interaction analyses were used to explore the influence of sociodemographic factors on these associations.

The prevalence of IADL disability among older individuals in China increased from 2011 to 2020.The prevalence of multimorbidity increased steadily from 2011 to 2018 but decreased in 2020. Four multimorbidity patterns were identified: visceral-skeletal, respiratory system, neurodegenerative, and cardiometabolic diseases. Higher factor scores of multimorbidity patterns were associated with increased risk of BADL and IADL disability, particularly for neurodegenerative diseases pattern (T3 vs. T1, BADL: OR 1.44, 95% CI 1.23–1.70; IADL: OR 1.66, 95% CI 1.42–1.94). The positive associations between neurodegenerative diseases and BADL and IADL disability were stronger among urban residents. The inverse associations between cardiometabolic diseases and IADL disability were stronger among educated than illiterate individuals.

Multimorbidity was prevalent and independently associated with the risk of a decline in basic and instrumental activities of daily living among older individuals in China. Residential area and education level modified these associations.

This study was approved by the Biomedical Ethics Committee of Peking University (NO. IRB00001052-11015).

The online version contains supplementary material available at 10.1186/s12877-025-06567-4.

• The prevalence of IADL disability among older individuals in China increased from 2011 to 2020.

• The prevalence of multimorbidity among older individuals in China increased from 2011 to 2018 but decreased in 2020.

• Multimorbidity was prevalent and independently associated with the risk of a decline in basic and instrumental ADL.

• This association was affected by residential area (urban vs. rural) and education level.

The online version contains supplementary material available at 10.1186/s12877-025-06567-4.

## Full-text entities

- **Diseases:** system (MESH:D015619), cardiometabolic diseases (MESH:D024821), neurodegenerative diseases (MESH:D019636), IADL disability (MESH:D009069)

## Full text

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## Figures

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## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12604309/full.md

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Source: https://tomesphere.com/paper/PMC12604309