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Cognitive function in normotensive elderly adults: a population-based cross-sectional study in rural China
Changqing Zhan1, Qiao Wang2, Yingnian Chen3
1Department of Neurology, The Second People's Hospital, Wuhu, China.
Frontiers in Medicine
|March 25, 2026
Summary
Cognitive function in elderly individuals is linked to age, gender, and BMI. Older age, being female, and lower BMI correlate with lower cognitive scores, highlighting the need for targeted community support.
Area of Science:
- Gerontology
- Neuroscience
- Public Health
Background:
- Cognitive disorders are a growing global health concern, particularly among the elderly.
- Risk factors for cognitive decline in individuals with normal blood pressure are not well understood.
- This study investigated cognitive function and associated factors in a rural Chinese elderly population.
Purpose of the Study:
- To explore cognitive function and identify related risk factors in a rural elderly population in Tianjin, China.
- To analyze the association between demographic, anthropometric, and clinical factors and cognitive performance.
Main Methods:
- Recruited 386 participants (mean age 65.88 years) from the Tianjin Brain Research Institute.
- Assessed cognitive function using the Mini-Mental State Examination (MMSE).
- Employed multivariate logistic and linear regression analyses (SPSS v27.0), with P < 0.05 indicating statistical significance.
Main Results:
- Multivariate analysis identified gender, age, and Body Mass Index (BMI) as significant factors associated with MMSE scores.
- Women scored significantly lower than men (P < 0.001).
- Participants aged ≥75 years scored lower than those aged 60-64 (P < 0.001), and higher BMI correlated with higher MMSE scores (P = 0.019).
Conclusions:
- Older age, female gender, and lower BMI are associated with reduced cognitive function (lower MMSE scores) in normotensive elderly individuals.
- Community-based screening and targeted health education are crucial for older women and men with low BMI.
- Further research may explore specific factors like alcohol consumption and triglycerides in different age subgroups.
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