# Traditional Chinese medicine constitution and cardiometabolic multimorbidity: a nationwide cross-sectional study in older adults

**Authors:** Ran Chen, Hou-Qin Li, Jing Xia, Fei-Yu He, Yan Zhang, Zheng Wang, Hong-Yi Zhang, Yao-Ming Yang, Ming-Hua Bai, Cheng Ni

PMC · DOI: 10.3389/fpubh.2026.1723708 · Frontiers in Public Health · 2026-01-26

## TL;DR

This study explores how traditional Chinese medicine constitutions relate to heart and metabolic diseases in older adults, identifying specific constitutions linked to higher risk.

## Contribution

The study identifies specific TCM constitutions as independent risk factors for cardiometabolic multimorbidity in older adults.

## Key findings

- Qi-deficiency, Yang-deficiency, Yin-deficiency, and Phlegm-dampness constitutions are independently associated with cardiometabolic multimorbidity.
- The association between Yang-deficiency constitution and CMM is stronger in obese individuals.
- Common mixed constitution patterns in CMM include Yin-deficiency with Dampness-heat and Blood stasis constitutions.

## Abstract

Cardiometabolic multimorbidity (CMM), defined as the coexistence of two or more cardiometabolic diseases, is increasingly prevalent in older adults. Traditional Chinese medicine (TCM) constitution may influence individual susceptibility and provide complementary approaches for prevention and management. This study aimed to examine the potential association between TCM constitution and CMM to offer novel insights into individualized risk stratification and potential preventive approaches for older adults.

A national cross-sectional study of 24,812 Chinese adults aged ≥60 years was conducted. CMM was defined as having at least two cardiometabolic conditions, including diabetes, stroke, and heart disease. TCM constitutions were assessed using the Chinese Medicine Constitution Questionnaire for the Elderly Edition (CCMQ-EE) and categorized as balanced or eight unbalanced types. The association between TCM constitutions and CMM was analyzed using multivariate logistic regression. To assess the robustness of these associations, inverse probability of treatment weighting (IPTW) based on propensity scores was applied. Stratified analyses assessed subgroup heterogeneity, while tetrachoric correlation and association rule analyses identified constitution co-occurrence patterns.

Qi-deficiency constitution (QDC) [OR 1.57, 95% CI 1.21–2.04], Yang-deficiency constitution (YaDC) [OR 1.63, 95% CI 1.35–1.96], Yin-deficiency constitution (YiDC) [OR 1.62, 95% CI 1.33–1.96], and Phlegm-dampness constitution (PDC) [OR 1.40, 95% CI 1.17–1.68] were independently associated with CMM. Associations remained robust after IPTW based on propensity scores. Subgroup analyses showed a stronger association between YaDC and CMM among obese individuals, while the association between YiDC and CMM was more pronounced in participants with central obesity and without hypertension (P for interaction = 0.049). Common mixed constitution patterns in CMM included YiDC with Dampness-heat constitution (DHC), YiDC with Blood stasis constitution (BSC), and PDC with DHC.

QDC, YaDC, YiDC, and PDC were independently associated with CMM, suggesting that they may represent potential risk factors for its development. Incorporating constitution assessment into routine health evaluations could facilitate the early identification of high-risk subgroups and support the implementation of targeted, constitution-based prevention and management strategies, thereby contributing to reducing the prevalence and burden of CMM in older adults.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015), stroke (MONDO:0005098), heart disease (MONDO:0005267)

## Full-text entities

- **Diseases:** Phlegm-dampness constitution (MESH:D005878), Blood stasis (MESH:D014647), hypertension (MESH:D006973), YiDC (MESH:D016710), stroke (MESH:D020521), Yang-deficiency constitution (MESH:D016711), obese (MESH:D009765), heart disease (MESH:D006331), PDC (MESH:C537181), diabetes (MESH:D003920), CMM (MESH:D024821)
- **Chemicals:** Traditional (-)

## Full text

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## Figures

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## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12883366/full.md

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Source: https://tomesphere.com/paper/PMC12883366