Association between peripheral platelet markers and motoric cognitive risk syndrome: a cross-sectional analysis of data from the WCHAT study
- 1National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- 2Department of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Abstract
Objectives: To investigate the association between peripheral platelet indices and motoric cognitive risk syndrome (MCR).
Design: A cross-sectional analysis using baseline data from the West China Health and Aging Trend (WCHAT) study.
Setting: Community settings across several ethnically diverse regions of western China.
Participants: From an initial pool of 7536 community-dwelling adults in the WCHAT study, 4080 participants were included in the final analysis after applying exclusion criteria.
Primary and secondary outcome measures: The primary outcome was MCR, defined by the concurrent presence of subjective cognitive complaints and slow gait speed (≥1 SD below sex- and age-stratified mean) in the absence of dementia or mobility disability. The exposures were platelet indices, including platelet count (PLT), mean platelet volume, platelet distribution width (PDW), platelet-large cell ratio (P-LCR) and platelet crit (PCT). Multivariable logistic regression was used to examine the associations between platelet indices and MCR. Restricted cubic spline analysis was performed to explore non-linear associations.
Results: Among the 4080 participants, 320 (7.84%) met the diagnostic criteria for MCR. After adjustment for potential confounders, higher PLT (OR=1.17, 95% CI 1.04 to 1.32, p=0.007) and PCT (OR=1.13, 95% CI 1.01 to 1.26, p=0.046) were associated with greater odds of MCR. Conversely, higher PDW (OR=0.85, 95% CI 0.75 to 0.97, p=0.014) and P-LCR (OR=0.87, 95% CI 0.77 to 0.98, p=0.026) were associated with lower odds of MCR. Furthermore, a nonlinear relationship was identified for PDW and MCR (p<0.05), with a threshold at 13.40%.
Conclusions: Specific platelet indices are significantly associated with MCR. Further prospective studies are warranted to confirm these associations and explore the underlying mechanisms.
Trial registration number: China Clinical Trial Center (ChiCTR1800018895).
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BibTeX
@article{hu2026association,
title = {{Association between peripheral platelet markers and motoric cognitive risk syndrome: a cross-sectional analysis of data from the WCHAT study}},
author = {Fengjuan Hu and Yan Zhang and Gongchang Zhang and Lixing Zhou and Yiping Deng and Daiping Li and Xueling Deng and Tingting Huang and Chenying Fu and Birong Dong and Meiling Ge},
journal = {BMJ Open},
year = {2026},
month = oct,
doi = {10.1136/bmjopen-2025-115160},
url = {https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2025-115160},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - Association between peripheral platelet markers and motoric cognitive risk syndrome: a cross-sectional analysis of data from the WCHAT study
AU - Fengjuan Hu
AU - Yan Zhang
AU - Gongchang Zhang
AU - Lixing Zhou
AU - Yiping Deng
AU - Daiping Li
AU - Xueling Deng
AU - Tingting Huang
AU - Chenying Fu
AU - Birong Dong
AU - Meiling Ge
PY - 2026
DA - 2026/10/01
JO - BMJ Open
DO - 10.1136/bmjopen-2025-115160
UR - https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2025-115160
AB - Objectives: To investigate the association between peripheral platelet indices and motoric cognitive risk syndrome (MCR). Design: A cross-sectional analysis using baseline data from the West China Health and Aging Trend (WCHAT) study. Setting: Community settings across several ethnically diverse regions of western China. Participants: From an initial pool of 7536 community-dwelling adults in the WCHAT study, 4080 participants were included in the final analysis after applying exclusion criteria. Primary and secondary outcome measures: The primary outcome was MCR, defined by the concurrent presence of subjective cognitive complaints and slow gait speed (≥1 SD below sex- and age-stratified mean) in the absence of dementia or mobility disability. The exposures were platelet indices, including platelet count (PLT), mean platelet volume, platelet distribution width (PDW), platelet-large cell ratio (P-LCR) and platelet crit (PCT). Multivariable logistic regression was used to examine the associations between platelet indices and MCR. Restricted cubic spline analysis was performed to explore non-linear associations. Results: Among the 4080 participants, 320 (7.84%) met the diagnostic criteria for MCR. After adjustment for potential confounders, higher PLT (OR=1.17, 95% CI 1.04 to 1.32, p=0.007) and PCT (OR=1.13, 95% CI 1.01 to 1.26, p=0.046) were associated with greater odds of MCR. Conversely, higher PDW (OR=0.85, 95% CI 0.75 to 0.97, p=0.014) and P-LCR (OR=0.87, 95% CI 0.77 to 0.98, p=0.026) were associated with lower odds of MCR. Furthermore, a nonlinear relationship was identified for PDW and MCR (p<0.05), with a threshold at 13.40%. Conclusions: Specific platelet indices are significantly associated with MCR. Further prospective studies are warranted to confirm these associations and explore the underlying mechanisms. Trial registration number: China Clinical Trial Center (ChiCTR1800018895).
SN - 2044-6055
SN - 2044-6055
ER -