Disease areas:
  • brain
  • clinical signs and symptoms
Last updated:
Author(s):
Qingping Yun, Shiyu Wang, Bingyu Li, Zhirong Yang, Chang Wei, Jinqiu Yuan, Jun Hu, Ye Li, Zuyao Yang, Feng Sha, Jinling Tang
Publish date:
29 August 2025
Journal:
Age and Ageing
PubMed ID:
40975837

Abstract

BACKGROUND: Previous research indicates that constipation may be an early symptom of Parkinson’s disease (PD). However, it remains uncertain whether constipation is a unique symptom prior to PD or to other major neurological disorders as well. This study aimed to explore the association between premorbid constipation and three major neurological disorders: stroke, dementia and PD.

METHODS: We conducted a retrospective cohort study using data from UK Biobank. Constipation was defined based on diagnosed cases in electronic health records, self-reported instances or regular laxative use. The primary outcome was defined as the first onset of any of three neurological disorders: stroke, dementia and PD. Cox regression was used to adjust for socio-demographic characteristics, lifestyle factors, medical conditions and regular medication use.

RESULTS: Out of 462,327 eligible participants, those with constipation were associated with higher incidence of three outcome diseases (1415/20,263 [7.0%]) than those without (18,848/442,064 [4.3%]), with adjusted hazard ratio (HR) being 1.35 [1.27-1.42]. Specifically, those with constipation had a 20%, 50% and 56% higher risk of stroke, dementia and PD, respectively. Both self-reported and diagnosed constipation were associated with a higher risk of these conditions, with HR being 1.31 (1.23-1.40) and 1.44 (1.30-1.59), respectively. Interestingly, the association between constipation and neurological disorders was stronger within the first 2 years from baseline.

DISCUSSION: These findings support the biological link between constipation and neurological disorders. Given its potential role as a prodromal symptom for these diseases, both diagnosed and self-reported constipation should be considered in risk prediction models.

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